4,329 Matching Annotations
  1. Sep 2021
    1. If there is one thing that normally characterizes the entire Linux ecosystem, it is that there are many solutions to one problem.

      many different solutions to a problem

    1. tcpwrappers or, as you’re probably more familiar, the hosts.allow and hosts.deny files

      little-known facts better known as

      Indeed, I'd heard of hosts.allowed but would have never known that they were part of a package/system called tcpwrappers (which I don't think I've ever heard of).

    1. nity-based resear

      what does this mean exactly?

    1. One important thing to keep in mind if you are hoping to transition to a four-year school for your Bachelors—how your credits will transfer. You don’t want to pay for a class you already took at a higher price tag

      How easy is this to do? Is this an example that shows a negative? Is it good for an issue like this to show the negatives and positives? Are there more positives than negatives---if so, what does this show?

    1. Author Response:

      Reviewer #3:

      Maintaining the balance between stem cell proliferation and cell differentiation is an essential challenge of all stem cell niches. In the shoot apical meristem of plants, these functions are spatially separated into the central zone and peripheral zone, respectively. How these zones communicate to give rise to proper stem cell behavior has been a research focus for many years.

      In this manuscript, the authors suggest that the small secreted peptide CLE40 and the receptor kinase like protein BAM1 form a novel pathway that contributes to meristem homeostasis by stimulating the expression of the central stem cell inducer WUSCHEL primarily from the meristem periphery. Importantly, this pathway acts antagonistically to the well-studied CLV pathway, which is only active in the center of the meristem and is molecularly highly similar to the CLE40/BAM1 system. This model is experimentally supported mainly by analysis of spatial localization patterns in the meristem using transcriptional and translational reporters and by the analysis of genetic interactions.

      The findings of the authors are novel, highly relevant and would certainly be of great interest for the plant community. However, the manuscript could be substantially improved to provide better support for the conclusions laid out.

      Of major concern are the reporter genes and imaging data: Partial colocalization and exclusion from CZ and OC are one of the main arguments of the authors to claim that CLE40/BAM1 function together and antagonistically to CLV3/CLV1 in controlling WUS expression.

      Working with reporters as proxies for endogenous gene expression needs to be backed up by proper controls. Given the central importance of the reporters for the conclusions it is essential to show that the regulatory sequences used for the CLE40 reporter are sufficient to rescue a cle40 mutant.

      We show now in a new supplemental figure (1) the expression patterns of two different CLE40 reporter lines (differening in length of the promoter region) in the root, which are identical, and (2) that expression CLE40 from the CLE40 promoter rescues the cle40 mutant root phenotypes, which were described in earlier work. See Fig2-SupplFig. 1

      It is essential to show that ... the observed expression of the reporter is consistent across the majority of different T1 lines and, most importantly, that the pattern reported here is consistent with in situ data for endogenous CLE40 mRNA.

      RNA in situ analysis is difficult due to the low expression level of CLE40, and the small size of the CLE40 transcript. We show in Fig2-SupplFig2 expression data for 4 independent transgenic CLE40 reporter lines, confirming the general conclusions that we present in this manuscript.

      The authors have previously published in situs for CLE40 that do not show the exclusion from the CZ and OC (Hobe et al., 2003, Figure 2a,c), which urgently needs clarification.

      The RNA expression data from Hobe et al. are displayed at low mag and low resolution, and might have suffered from high background.

      Figures 2, 4 and 5 show imaged meristems in great detail but each focus only on a single sample. I strongly recommend to also include quantitative data on multiple samples to substantiate the claims. This could be likely be done with standard software, such as MorphographX.

      The data we showed before represented typical examples from a wide range of data that we analysed. All original data are being made publicly available for reanalysis. We have now added multiple examples from multiple samples, and also added quantitative data from fluorescence analysis. See new Supplementary Fig2-SupplFig. 2, Fig.4-SupplFig. 1, Fig.4-SupplFig. 2, Fig.4-SupplFig. 3, Fig.5-SupplFig. 1, Fig.5-SupplFig. 2, Fig.5-SupplFig. 3, Fig.5-SupplFig. 4

      Whereas the inhibitory effect of WUS on CLE40 is convincingly shown using ectopic WUS expression and the hypomorphic wus7 allele (Figure 2) the quantification of WUS positive cells in Figure 7 is problematic. Although it was done over multiple samples it heavily relies on manual scoring, which is prone to bias. The same is true for the width/height measurements of different meristems. An unbiased computational image analysis would certainly give more reliable results.

      We are grateful for this suggestion. We normally analyse samples in an anonymised manner. We have now also quantified the number of WUS positive cells using the Imaris software, as suggested, see Fig.7-SupplFig.1, and found that this analysis supported our previous conclusions. We also added a figure showing multiple samples from this experiment. See new Supplementary Fig7-SupplFig. 2

      One major point that the authors try to establish is that the CLE40 signal that eventually leads to reduction in meristem size is transduced via the BAM1 receptor. However, only genetic interactions, which are complicated by intricate feedbacks, are show to substantiate this claim. For a strong statement on CLE40/BAM1 ligand/receptor interactions, advanced imaging technologies available to the authors or biochemical experiments would be necessary.

      We are currently not aware of a reliable and applicable experimental approach that would allow us to show direct interaction of the CLE40 peptide with its receptors in vivo. Biochemical experiments using purified peptides and/or receptors are, so far, contradictory: Shinohara et al. (2015) used chemically synthesized arabinosylated CLV3 peptide and photoaffinity labelling to show binding of CLV3 to a BAM1-Halo-TAG fusion protein expressed in BY-2 cells. However, using BAM1 protein purified from insect cell lines which was biotinylated in the Creoptix WAVE system, Crook et al. (2020) found no significant binding activity for synthetic CLV3 peptide. Our preliminary conclusion from these data sets is that binding of peptides to receptors should be best evaluated in vivo, since important posttransciptional and posttranslational modifications, as well as coreceptors, can strongly modify peptide-receptor interactions.

      We have here added data showing that in the root, BAM1 receptor but not CLV1 is required for CLE40 dependent regulation of root meristem development, indicating again that CLE40 and BAM1 are likely to act in the same signaling pathway throughout development. See new Supplementary Fig6-SupplFig. 1

      Similarly, the genetic studies need some clarification: The authors show that cle40 and bam1 single mutants as well as cle40/bam1 double mutants all show a comparable reduction in meristem size, suggesting epistasis. In contrast, a reduction in meristem size can not be observed if cle40 is combined with clv1, which according to the proposed model appears to be unexpected. The interpretation of the genetic experiments is complicated by the well-known fact that BAM1 expression is regulated by the CLV pathway and loss of CLV signaling leads to ectopic expression of BAM1 in the OC which can partially compensate for the loss of CLV1, due to the molecular similarity of the two receptors. The shift of BAM1 expression from the PZ towards the OC could explain why there is no significant reduction in meristem size since CLE40 induced signaling at the PZ would be inhibited by the lack of the BAM1 receptor. To clarify the specific interaction of CLE40 with BAM1 and/or CLV1 the authors could try to restore BAM1 levels in the PZ of cle40/clv1 mutants by expressing BAM1-GFP from an appropriate promoter (e.g. RPS5 or UBQ10). This experiment would allow to distinguish between the genetic interaction of CLE40 with CLV1 from the feedback between CLV1 and BAM1 expression.

      The suggested experiment, to misexpress BAM1 from the RPS5 or UBQ10 promoter, is not feasible, since this results generally in a much higher expression level, which, in our hands, is not "tolerated" by CLV-family receptors. We found that higher level expression of RLKs generally causes mislocalisation of nonfunctional proteins.

      Overall, the manuscript could be strengthened by inclusion of additional molecular data probing the directness of WUS inhibiting CLE40 and/or BAM1 expression.

      We are planning to set-up experiments for detailed studies on the transciptional regulation of genes in the stem cell control pathways, and will in the future also investigate the feedback regulation of WUS onto CLE40 and BAM1. However, such analysis goes far beyond the scope of our current manuscript.

    1. Our support goes beyond today. 🌈 Tap through to take a look at 6 LGBTQIA+-led brands and businesses you can champion always ~ Tag more queer kickstarters and entrepreneurs in the comments! 👸🏽❤️ Let’s step up and support our colourful community in all the ways we can!

      Hypothesis: Businesses can use emotional branding to keep up with the times.

      NOTE: Colourette Cosmetics is a Filipino makeup brand that also promotes inclusivity. It's cosmetics is geared towards the younger generation no matter the gender.

    1. All the waiters had stopped, and all the people had stoppedeating, and the patio looked like a frozen place, a garish game offreeze tag.“I have my own Steinway at home,” she said.“How nice,” the pianist said.“And I’ve played,” she said, and paused. “I’ve played in ... manysituations.

      the world is through the will, connects back to the idea that mother believes the world is run by will not love

      similar to harrison believing that she can will herself to nto care about the world

    Annotators

    1. SciScore for 10.1101/2021.09.14.21263603: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: All study participants provided written informed consent and all study protocols were approved by the Cedars-Sinai Medical Center institutional</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Coupling efficiency was confirmed by incubation of 625 beads from each coupled region with a phycoerythrin-conjugated anti-6×□HisTag antibody (Abcam, Cambridge, UK) at a concentration of 10 μg/mL for 45 min shaking at 900 rpm and room temperature.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-6×□HisTag</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The bound AABs were detected by addition of R-phycoerythrin-labelled goat anti-human IgG detection antibody (Ab) (5□µg/ml, Dianova, Hamburg, Germany) for 1 hr at RT, after several PBS washes.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human IgG</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Other antigens were produced in-house using E.coli SCS1 carrying plasmid pSE111, which contains an N-terminally located hexa-histidine-tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pSE111</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For all HCW participants, EDTA plasma specimens were transported within 1 hour of phlebotomy to the Cedars-Sinai Department of Pathology and Laboratory Medicine and underwent serology testing using the Abbott Diagnostics SARS-CoV-2 IgG chemiluminescent microparticle immunoassay (Abbott Diagnostics, Abbott Park, Illinois) against the nucleocapsid (N) antigen of the SARS-CoV-2 virus (12, 13).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Abbott</div><div>suggested: (Abbott, RRID:SCR_010477)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analyses: Data processing and analysis were performed using R v3.5.1 and KNIME 2.12 (https://www.knime.org/) (21, 22).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>KNIME</div><div>suggested: (Knime, RRID:SCR_006164)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.09.17.460782: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Detection was achieved using horseradish peroxidase-conjugate secondary antibody anti-rabbit and anti-mouse (Bio Rad #1706516, #1706515) and visualized with ECL (Cytiva RPN2232).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-mouse</div><div>suggested: (Bio-Rad Cat# 170-6516, RRID:AB_11125547)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Antibodies: The primary antibodies used in this study are: rabbit anti-SARS-CoV-2 Spike S1 Subunit (Sino Biological, 40150-T62)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-CoV-2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Secondary antibody used are: horseradish peroxidase-conjugate anti-rabbit and anti-mouse (Bio Rad #1706516, #1706515).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-rabbit</div><div>suggested: (Bio-Rad Cat# 170-6515, RRID:AB_11125142)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After washing, AP-conjugated goat anti-rat IgG antibody (SIGMA A8438) or AP-conjugated goat anti-rabbit IgG antibody (SIGMA A8025) was added, and the plates were further incubated for 1 hour at RT.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-rat IgG</div><div>suggested: (Sigma-Aldrich Cat# A8438, RRID:AB_258391)</div></div><div style="margin-bottom:8px"><div>anti-rabbit IgG</div><div>suggested: (Sigma-Aldrich Cat# A8025, RRID:AB_258372)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">FACS: Vero E6 cells were incubated with RBD protein (0.45 μg/mL, final concentration) followed by incubation with human anti-RBD antibody (primary antibody) (40150-D003, Sino Biological) and goat anti-human IgG AF488-conjugated antibody (secondary antibody) (A-11013, Thermo Fisher Scientific)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-RBD</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-human IgG</div><div>suggested: (Molecular Probes Cat# A-11013, RRID:AB_141360)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Hi-5 cells (BTI-TN-5B1-4) (Gibco #B85502) were cultured in Express Five™ SFM (Serum-Free Media) medium (Gibco #B85502 Expression Systems) at a cell density of 0.5 x 106 cells/mL and infected with recombinant virus.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Hi-5</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">FACS: Vero E6 cells were incubated with RBD protein (0.45 μg/mL, final concentration) followed by incubation with human anti-RBD antibody (primary antibody) (40150-D003, Sino Biological) and goat anti-human IgG AF488-conjugated antibody (secondary antibody) (A-11013, Thermo Fisher Scientific)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After a wash step in 1× kinetic buffer for 120 s, the ACE2-Fc-captured biosensor tips were then submerged for 300 s in wells containing different concentrations of antigen (RBD E. coli, insect, and HEK-293) to evaluate association curves, followed by 900 s of dissociation time in kinetic buffer.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK-293</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">RBD protein production in E. coli: The SARS-CoV-2 Spike Receptor Binding Domain sequence (aa 319-541, Uniprot ID P0DTC2) was cloned with a C-terminal 6x-His tag into a pET-21a(+) plasmid. E. coli BL21 Star™ (DE3) (genotype: F−ompT hsdSB (rB−, mB−) galdcmrne131) competent cells, and E. coli Lemo21 (DE3) (genotype: fhuA2 [lon] ompT gal (λ DE3) [dcm] ΔhsdS/ pLemo(CamR)) competent cells were transformed with 100 ng of plasmid of interest.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pET-21a(+</div><div>suggested: RRID:Addgene_12669)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">RBD protein production in insect cells: The SARS-CoV-2 Spike Receptor Binding Domain sequence (aa 319-541, Uniprot ID P0DTC2) was cloned into a pFAST-bac1 plasmid downstream of the gp64 signal sequence to promote secretion, along with a C-terminal 8x-His tag for affinity purification.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pFAST-bac1</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Raw data were analyzed using the Biopharma Finder 2.1 software from ThermoFisher Scientific.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Biopharma Finder</div><div>suggested: None</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      However, the high costs (resources), the time-consuming production, the requirement of specific equipment, and access to dedicated facilities could be a limitation for many laboratories or for the industrial production. By contrast, the bacterial-derived RBD offers a low production cost, a broader availability, and easy handling as main advantages, which make it more accessible. However, limitations in the quality of the produced sample include the absence of glycosylation that partially affects protein stability and efficiency, the presence of heterogeneous folded populations, and the relative low production yields which may result in a final product not eligible for some clinical and medical applications. Overall, all the recombinantly produced RBDs represent valuable tools for research purposes against the pandemic. Recently, expression and purification strategies described in this article have been also proved to be successful in the production of mutants of RBD corresponding to the variants of concern.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.09.15.460454: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Contamination: All cell lines have tested negative for mycoplasma contamination.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell lines used in this study: 293FT cells were obtained from Dr. Kosuke Yusa’s Lab. 293FT.Cas9 cell lines were generated through lentiviral integration of an EF1a-Cas9-T2A-BlastR construct at low MOI to achieve single-copy integration.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293FT</div><div>suggested: ATCC Cat# PTA-5077, RRID:CVCL_6911)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To generate cell lines permissive to Spike-Pseudotyped lentiviral infection, 293FT.Cas9 cells were engineered to stably express SARS-CoV-2 receptors ACE2 and TMPRSS2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293FT.Cas9</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For in vitro transcribed mRNA, 293T cells were transfected for functional testing using Lipofectamine messengerMAX (Invitrogen) according to the manufacturer’s instructions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T</div><div>suggested: CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">293FT.Cas9.ACE2/TMPRSS2 clonal cell lines were harvested by trypsinization and resuspend at a density of 70.000 cells per 30 μL.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293FT.Cas9.ACE2/TMPRSS2</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">In vitro transcription of S protein mRNA: Templates for in vitro transcription were generated by cloning P1 and P13 between NcoI and NotI sites of pTNT-B18R-6His (addgene plasmid 58979, a kind gift from Steven Dowdy (30)).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pTNT-B18R-6His</div><div>suggested: RRID:Addgene_58979)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For transfection, 1 μg of lentiviral transfer vector (pCSGW-GFP), were mixed with 0.72 μg of gag-pol expressing plasmid p8.9 and 68.33 fmol of S protein expressing construct in 500 μL of optiMEM media followed by the addition of 2 μL of PLUS reagent and incubation for 5 minutes at room temperature.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCSGW-GFP</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>p8.9</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">These PCR products were both visualized on an agarose gel as well as TA-cloned using ‘TA Cloning Kit with pCR2.1 vector and OneShot TOP10 Chemically Competent E.coli’ (ThermoFisher) according to kit instructions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCR2.1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The template used to align the ALKBH5 reads to was constructed manually, by performing in silico Gateway cloning, inserting the ALKBH5 CDS and mRuby3 CDS into the pLIX_403 vector (Addgene plasmid #41395).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pLIX_403</div><div>suggested: RRID:Addgene_41395)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Full DNA sequences of these plasmids are found at a Zenodo provided doi: 10.5281/zenodo.5470001. “Wuhan” in plasmid names refers to the S protein DNA sequence from the Wuhan-Hu-1 isolate (Genbank: MN908947.3) while “18F” refers to the removal of the last 18 amino acids of the S protein C terminus (ER retention sequence) and the addition of a FLAG tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Zenodo</div><div>suggested: (ZENODO, RRID:SCR_004129)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data was analysed using FlowJo software (BD Biosciences) and displayed as % cells infected at 1:500 dilution of pseudotyped virus, normalized to the intronless construct infection rates (Figure 7).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Staining was developed using 20X LumiGLO® Reagent and 20X Peroxide reagents according to manufacturer’s recommendations (Cell Signaling Technology, #7003). cDNA analysis: RNA was extracted from the frozen cell pellets using RNeasy Mini Kit (Qiagen) and treated with ezDNase (ThermoFisher) before applying oligo(dT) guided 1st strand cDNA synthesis using SuperScript IV reverse transcriptase (ThermoFisher), all according to manufactures’ recommendations.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ThermoFisher</div><div>suggested: (ThermoFisher; SL 8; Centrifuge, RRID:SCR_020809)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All reads were mapped back to the original construct DNA sequence using SnapGene software to assess individual mRNA splicing events.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SnapGene</div><div>suggested: (SnapGene, RRID:SCR_015052)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After another round of bead purification, samples were pooled and submitted to Edinburgh Genomics, where they were further processed, barcoded and run on PromethION platform.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PromethION</div><div>suggested: (PromethION, RRID:SCR_017987)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      The main limitation lies in the quantification of the observed events in comparison to the reads without events which can be influenced by size dependency of some of the sample preparation steps as the full-size S protein cDNA is over 4kb long and many of the observed splicing events can be shorter than 200 bp and depleted by many sample preparation methods. Reported here are distributions based on the full length read population alone within each sample, but care should be applied before comparing these frequencies to other datasets with different sample preparation methods, such as the ChAdOx1 Nanopore RNA direct data (Sup Figure 8). Hundreds of randomly spaced splicing events characterized by the cDNA direct sequencing approach for the S protein and similar events seen in other proteins highlight the fact that even when the transgene’s CDS is apparently well designed and expression of full-length protein can be detected, the status quo design is just not optimal for RNA expression as transcript heterogeneity will inevitably impact both product levels (yield) and homogeneity. The impact of this will be dependent on the nature of the product, whether it is expressed in vitro or in vivo. In vitro expression offers opportunities to improve homogeneity by application of purification methods. Two thirds of cryptically spliced RNA molecules would be out-of-frame and would not just impact protein yield but any translation in vivo would generate novel peptides with potential immuno...

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. RED-tris-NTA

      his tag can be labeled in lysate

    2. because of its small size, binding of tris-NTA has minimum effect on biochemical and physicochemical properties of the protein

      small tag may not alter the conformation and function of the protein

    3. The observed Kd values were 1.3 ± 0.2 nM for the His6 peptide, 0.6 ± 0.3 nM for IDH R132H and 2.4 ± 1.1 nM for p38α

      2 points:

      1. binding Kd is about 1nM
      2. Kd for different targets could be slightly different

    Tags

    Annotators

    1. SciScore for 10.1101/2021.09.14.460356: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">g, anti-Human antibody was added to the wells and incubated for 1 hour followed by six washes as before.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Human</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">RBD-SD1, wild type RBD and mutant RBD domains were subcloned into pcDNA.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>RBD-SD1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">One day before transfection, CHO-S cells were seeded at a density of 1 x 106 cells/mL in 45 mL culture flask.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CHO-S</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Lipofectamine® transient transfection of RBD constructs: For transient expression of RBD-SD1, RBD wild-type and RBD mutants, 293T cells were cultured and and incubated at at 37℃ with 5% CO2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Vero E6 neutralization assay: All aspects of the assay utilizing virus were performed in a BSL3 containment facility according to the ISMMS Conventional Biocontainment Facility SOPs for SARS-CoV-2 cell culture studies.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: RRID:CVCL_XD71)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After incubation with 293TACE2 cells for 48 hours at 37°C, cells were washed twice with PBS, lysed with Luciferase Cell Culture Lysis 5x reagent (Promega), and NanoLuc Luciferase activity in lysates was measured using the Nano-Glo Luciferase Assay System (Promega)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293TACE2</div><div>suggested: RRID:CVCL_YZ65)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 Spike ECD 1-1208 (682-GSAS-685; 986-PP-987) fused to the T4 fibritin trimerization domain with C-terminal Avi- and His-tag were synthesized with gene block (IDT) and cloned into pcDNA.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA</div><div>suggested: RRID:Addgene_66792)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">On the day of transfection, 75 µL of FectoPRO® transfection reagent (PolyPlus-transfection®) was mixed with 5 mL of 15 µg/mL pcDNA3 plasmid DNA harboring antibody encoding sequence in CD-CHO media and incubated for 10 min at room temperature.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA3</div><div>suggested: RRID:Addgene_15475)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The atomic models and cryo-EM maps generated for the N-612-017, N-612-014, and N-612-004 Fabs complexed with SARS-CoV-2 S have been deposited at the PDB (http://www.rcsb.org/) and the Electron Microscopy Databank (EMDB) (http://www.emdataresource.org/) under accession codes 7S0C, 7S0D, 7S0E and EMD-24786, EMD-24787, EMD-24788, respectively.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>http://www.emdataresource.org/</div><div>suggested: (EMDataResource.org, RRID:SCR_003207)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Half-maximal inhibitory concentrations (IC50 values) for mAbs were determined using 4-parameter nonlinear regression (Prism, GraphPad).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Prism</div><div>suggested: (PRISM, RRID:SCR_005375)</div></div><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Movies were collected using a 3x3 beam image shift pattern with SerialEM automated data collection software (Mastronarde, 2005) at a nominal magnification of 45,000x (super-resolution 0.4345 Å/pixel) using a defocus range of −0.7 to −2.0 µm.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SerialEM</div><div>suggested: (SerialEM, RRID:SCR_017293)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For all datasets, movies were patch motion corrected for beam-induced motion including dose-weighting within cryoSPARC v3.1 (Punjani et al.,</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>cryoSPARC</div><div>suggested: (cryoSPARC, RRID:SCR_016501)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Coordinates were rigid body and B-factor refined in PHENIX v1.19 (Adams et al., 2010) followed by sequence matching and repeated cycles of phenix.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PHENIX</div><div>suggested: (Phenix, RRID:SCR_014224)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">refine and manual building in Coot (v0.9.3) (Emsley et al., 2010) (Table S6)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Coot</div><div>suggested: (Coot, RRID:SCR_014222)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Note: This rebuttal was posted by the corresponding author to Review Commons. Content has not been altered except for formatting.

      Learn more at Review Commons


      Reply to the reviewers

      Full Revision

      Manuscript number: RC-2021-00785

      Corresponding author: Christian, G. Specht

      1. General Statements

      Dear Editor,

      We greatly appreciate the reviewers’ constructive comments on our manuscript ‘Identification of a stereotypic molecular arrangement of glycine receptors at native spinal cord synapses’. We were particularly pleased that all four reviewers agreed that our data yield new insights into the structure of inhibitory glycinergic synapses, and represent both a technical and conceptual advance the field of synaptic neuroscience.

      The reviewers have consistently raised one main criticism, namely the use of endogenously expressed GlyRs tagged with the fluorescent protein mEos4b, which could potentially have an impact on receptor expression, trafficking and function. We have addressed this point by performing whole-cell recordings of GlyR currents in cultured neurons that show that glycinergic transmission and therefore function is preserved. We have also addressed all other comments of the reviewers in the revised manuscript, including a thorough revision of the text and the addition of new data and figures as detailed in the point-by-point response.

      Point-by-point description of the revisions

      Reviewer 1:

      Summary:

      In this manuscript Maynard et al describe a newly generated knockin mouse to study the endogenous distribution of Gly receptors in the spinal cord. Using quantitative confocal imaging and SMLM the distribution and levels of GlyRs at spinal cord synapses is compared between dorsal and ventral horn. They found that levels of synaptic GlyR are higher in dorsal than ventral spinal cord synapses. Nevertheless, the ratio to gephyrin seems constant, except for synapses in superficial layers of the dorsal horn, where gephyrin levels exceeded the levels of GlyRs. There are also fewer, but larger synapses in the ventral horn than in the dorsal horn. These findings are further corroborated by an SR-CLEM approach. Furthermore, it is shown that in a mouse model for hyperekplexia GlyR levels are lower, but still enriched at synapses, and the dorsal-ventral gradient in GlyR expression was maintained. The difference in size of ventral and dorsal synapses observed in WT animals was also lost in the oscillator mouse, suggesting that particularly the ventral synapses are affected. Despite these differences, the density of GlyRs per synapse remained similar.

      Major comments:

      Line 113: "labeling the_ _b__-subunit has proven difficult". This statement is unclear and it would be informative for readers to grasp what exactly has been difficult, and why the approach described here overcomes that? Related to that, the authors state "KI animals reach adulthood and display no overt phenotype, suggesting that the presence of the N-terminal fluorophore does not affect receptor expression and function". That is indeed reassuring, but it does not exclude that receptor numbers, function and distribution are altered. As it seems there is no prior literature on tagging the beta subunit, additional evidence that the tag does not interfere with receptor trafficking or functioning would be desirable

      We have clarified why it has been difficult to label the GlyR beta subunit until now, lines 113-115 _“To date, labeling of GlyRβ in situ using immunocytochemistry has proven difficult due to a lack of reliable antibodies that recognize the native β-subunit (only antibodies for Western blotting recognizing the denatured protein are available), which has severely limited the study of the receptor.”_ Hence it was important to us to generate this knock-in mouse in order to study the endogenous GlyR at synapses, which is the least well studied receptor mediating fast synaptic transmission.

      The reviewer makes an important point regarding the labeling of the GlyRβ-subunit with a fluorescent protein that has also been raised by the other reviewers. We have now verified receptor function by patch clamp recordings of glycine currents in whole-cell configuration in spinal cord neuron cultures from the mEos4b KI mouse (new Supplementary Fig. S2C). At saturating glycine concentrations of 300 μM we found no difference in chloride influx between mEos4 KI and WT mice. Since glycine concentrations in the synaptic cleft are in the millimolar range during synaptic transmission, these data strongly suggest that glycinergic transmission is not affected by the presence of the mEos4b under physiological conditions, despite a minor shift in the EC50.

      There are several other strong arguments that suggest that mEos4b-GlyRb expression, subcellular localization and function are the same as those of the native subunit. Firstly, the mEos4b sequence was inserted after the signal peptide and before the beginning of the coding sequence of the mature β-subunit (Fig. S1). Since the mEos4b sequence does not interrupt the coding sequence it is less likely to affect the receptor conformation. Secondly, we did not notice any behavioural phenotypes in animals carrying the GlrbEos allele. At the time of weaning, the genotypes of the pups corresponded to the expected Mendelian frequency (new Fig. S2A). Moreover, we did not observe a reduction in live expectancy of GlrbEos/Eos animals (new Fig. S2B), demonstrating that the mEos4b-GlyRb does not cause pathology in older animals.

      Most importantly, our imaging data (Fig. 1-3) provide exhaustive evidence that mEos4b-GlyRb assembles with GlyR alpha subunits as heteropentameric receptor complexes that are trafficked to the plasma membrane and inserted into the synaptic membrane due to their interaction with the gephyrin scaffold at functional synapses. Using quantitative imaging, we have also shown that homozygous GlrbEos/Eos KI mice have exactly twice the number of receptors at synapses as heterozygous animals, strongly suggesting no interference in receptor trafficking to the plasma membrane and gephyrin binding. As the mEos4b mice were also bred with the oscillator mouse model of hyperekplexia, which is lethal when homozygous, we could further test the combined effect of GlrbEos and GlyRa1spt-ot. The presence of both alleles did not lead to any noticeable phenotypes in heterozygous oscillator mice. On the contrary, both synaptic targeting and the packing density of the receptors were not altered in this model, despite a region-specific reduction in synapse size due to the reduced availability of the intact GlyRa1 subunit.

      We believe that these data overwhelmingly support our conclusion that the presence of the mEos4b tag does not alter the structure and function of the receptor, making this mouse model uniquely suited to study the dynamics and regulation of glycinergic synapses in a quantitative manner and at the molecular level.

      In the Discussion the authors conclude that "Our quantitative SR-CLEM data lend support to the first model, whereby inhibitory PSDs in the spinal cord are composed of sub-domains that shape the distribution of the GlyRs". This conclusion seems however based on one example image in Fig 3G that is not very convincing. The EM image seems to show two clearly separated PSDs opposed by two distinct active zones. So, although this conclusion is of high interest, more support should be given to substantiate this conclusion. More general, these subsynaptic domains (SSDs) are hardly further explored, but seem relevant for transmission, particularly given that the synaptic pool of GlyRs at these synapses is not saturated by single release events. How general are these SSDs at these synapses?

      The representative image in Fig. 3G shows two SSDs within the same postsynaptic site with a continuous presynaptic active zone. It should be noted that the PALM/SRRF images were taken of the entire 2 µm thick slice, whereas the electron micrograph shows only a single 70 nm section. We verified throughout the full 3D stack of serial sections that the presynaptic site remains continuous, which it does. We would also like to point out the scale of the image showing that the two SSDs are only around 170 nm apart, i.e. spatially very close. Our conclusions are however not based on this single image but the whole dataset. The graph in Fig. 3I shows 3 synapses (out of N = 36), in which the GlyR density at separate SSDs could be quantified, demonstrating that the receptor density is not different between SSDs. The reviewer is correct that we do not further analyse the SSDs beyond their density and the analysis of the segmentation of the postsynaptic sites (Fig. 3E-G). Further work on the functional role of SSDs in synaptic transmission is outside the scope of this manuscript and would indeed merit future study.

      The approach for counting molecules based on the PALM acquisition has been developed in prior publications and seems robust. It would however be worth to present the reader with a bit more background and explain the assumptions of this approach in more detail. Particularly, since counting of mEos4b can be problematic, as there are multiple dark and fluorescent states of this fluorophore that could be influenced by the illumination scheme, see for instance De Zitter et al., Nat Methods 2019. Since the preceding SRRF acquisition already exposes the fluorophore to high and continuous 561-nm laser power this could skew the counting due to unaccounted conversion and perhaps bleaching of mEos4b. In line with this, although throughout the manuscript the term 'absolute copy numbers' is used the reported numbers are at best an estimate based on a number of assumptions. I think the wording 'absolute numbers' is therefore deceiving and should be nuanced.

      We have clarified how the molecule conversion is calculated (Fig. S7 legend), to provide a more complete description of the way in which the values were obtained. Further we have explained how we calculated the probability of detection. Since the probability of detection accounts for any unconverted or non-functional mEos4b molecules, our molecule counting approach is relatively resistant to potential pre-bleaching of fluorophores. It should be noted, that 561 nm illumination had no obvious effect on the non-converted (green) mEos4b fluorophores, as judged by the fact that the intensity of receptor puncta was unaffected by the SRRF recordings. We appreciate the reviewers point regarding the term ‘absolute copy number’ and we have adjusted our wording throughout the manuscript accordingly.

      Related, most of the quantifications are in estimating the number of receptors, and not so much the distribution with the PSD. The term "molecular arrangement" - also used in the title - might therefore be misleading, there is in fact little characterization of how GlyRs are placed within the PSD. More focused analysis quantifying the distribution of receptors within the PSD and/or SSDs would strengthen the manuscript.

      By estimating the number of receptors and the exact size of synapses, the main conclusion of our study is that receptor density at dorsal and ventral synapses is identical, independent of synapse size, subdomains, or in fact loss of GlyRs in a mouse model of hyperekplexia. This observation clearly relates to how receptors are packed within synapses, and thus describes their molecular arrangement.

      The reported N is confusing and makes it hard to judge the reproducibility of the data. Sometimes it refers to number of images, sometimes number of synapses, but it is unclear from how many experiments these are drawn. This should be reported more completely (number of animals should be reported at least) and consistently. In figure 1, the N numbers (N=3-5 images) are particularly low and question how consistent these findings are across multiple animals.

      We have clarified the N in the figure legends, to reflect the full size of the datasets that have been analysed.

      The levels of mRFP-Gephyrin seem to differ between the different mouse lines, is this a significant difference?

      No significant differences in mRFP-gephyrin levels were found in animals with different mEos4b-GlyRb genotype (Fig. 1B). However, expression of mRFP-gephyrin in heterozygous animals is 50% of that in homozygous mRFP-gephyrin KI animals (not shown).

      The ICQ analysis for co-localization is hardly explained. How do we interpret this parameter? What does an average value of ~0.3 mean? A comparison with sets of proteins that do not overlap as a negative control would strengthen the conclusion.

      We have clarified that an ICQ value of 0.3 is indicative of a very high spatial correlation between pixels, and provided a corresponding reference for ICQ analysis (lines 209-210). We would like to point out that the scale of the ICQ is between -0.5 to 0.5, meaning that a value of 0.3 comes close to complete correlation.

      Minor comments:

      Very little fluorescence was detected in the forebrain, despite the high reported expression of the Glrb transcript". Can the authors expand on this? What would explain this discrepancy?

      We have clarified the text to include “suggesting that protein levels are controlled by post-translational mechanisms in a region-specific manner, as previously proposed (Weltzien et al., 2012)” (Lines 152-153). The reason for this discrepancy is not known. However, the distribution of mEos4b expression throughout the brain is as expected, based on the literature.

      "What region is quantified in Fig 1B? is the same region in all conditions? This should be specified more clearly as the manuscripts presents a clear gradient in expression levels in the spinal cord and thus the location will influence the intensity measurements.

      We have explained in the text that this is the region at the centre of the ventral horn identified by the white square in Fig. 1A, and that the same region was analysed for all images across all animals. Page 5, lines 160-161 “The same region of the ventral horn, indicated by the white square in Fig. 1A was taken for quantification of mEos4b-GlyRβ and mRFP-gephyrin expression in all conditions.”

      The labeling approach does not differentiate between surface and internal receptors, this should be made more explicit in the text.

      Whilst this is correct, we have only analysed mEos4b-positive synapses that had corresponding gephyrin clusters, meaning synapses where receptors are located in the postsynaptic membrane. Indeed we found that all mEos4b clusters imaged colocalised with mRFP-gephyrin clusters. We have adjusted the text accordingly, page 6, line 205-206 “All mEos4b-GlyR clusters closely matched the mRFP-gephyrin clusters, confirming the localization of the receptors in the postsynaptic membrane.”

      Significance:

      The presented data are interesting and the experiments are technically advanced and carefully performed. Particularly the SR-CLEM approach is technically advanced. The datasets present a quantitatively detailed characterization of spinal cord synapses and will be of interest for researchers working in the field of spinal cord circuitry, as well as super-resolution imaging. The conceptual advance for the field is however somewhat limited. It seems that the presented data confirm the general notion that receptor numbers and synapse size are highly correlated. So, although this manuscript describes very interesting observations, in its present form the manuscript does not provide any new mechanistic insight or significant advance in our understanding of how these synapses operate.

      We thank the reviewer for his/her comments relating to the technicality of our manuscript. However we think that the statement “The conceptual advance for the field is however somewhat limited” is unfair, as this level of organisation of inhibitory synapses at the molecular scale has never been achieved before, as pointed out by the other reviewers, and especially not as regards different ages of animals and a disease model that directly affects receptor numbers in a region-specific manner. We therefore believe that our study will have a substantial impact within the fields of synaptic neuroscience as well as quantitative neurobiology.

      Referee cross-commenting:

      I agree with the other reviewers that this study is technically advanced, but I remain critical towards the extent of conceptual advancement this study brings and there are some important concerns with the presented data that need to be addressed. Nevertheless, indeed many of these concerns can be addressed without additional experiments. As pointed out also by other reviewers additional validation that the fusion proteins are not disrupting their function or organization would be important.

      Reviewer 2:

      Summary:

      Maynard et al. investigate (inhibitory) glycinergic synapses in mouse spinal cord, which regulate motor and sensory processes. The authors analyse the molecular architecture and ultra-structure of these synapses in native spinal cord tissue using quantitative super-resolution correlative light and electron microscopy. The major finding is that GlyRs exhibit equal receptor-scaffold occupancy and constant absolute packing densities across the spinal cord and throughout adulthood, although ventral and dorsal inhibitory synapses differ in size. Moreover, what the authors call a „stereotypic arrangement" is even maintained in a hypomorphic mutant (oscillator), which is deficient in the adult GlyR a1 subunit.

      Specific comments:

      To reach their conclusions the authors generate two knock-in mouse lines, one with mEOS-labelled GlyR ß-subunit and one with mRFP-labelled gephyrin, a subsynaptic scaffolding protein of inhibitory synapses, which are subsequently crossed. Both changes are not unproblematic, as mutations in the N-terminal end of the GlyR ß subunit polypeptide chain might interfere with the assembly of functional GlyR (consisting of a und ß subunits) and and mutations at the N-terminal end of gephyrin interfere with it's homo-oligomerization into higher molecular assemblies.

      We have demonstrated that the function of mEos4b-GlyRb does not differ significantly from WT GlyRs, by carrying out electrophysiological experiments (new Fig. S2C). For a detailed response, please see the response to the first comment of reviewer 1. The mRFP-gephyrin KI strain has been validated and published previously (see Machado et al., 2011, J Neurosci; Specht et al. 2013 , Neuron) and was not specifically generated for this study. The experiments with the oscillator mutant did not include the mRFP-gephyrin allele. In these experiments, the wildtype GlrbEos/Eos (Fig. 4, 5) behaves exactly as the GlrbEos/Eos in the double knock-in (Fig. 1, 2), further validating the mouse models used.

      However, in this experimental design both labelled proteins reach postsynaptic membrane specialisations. In case of the ß-subunit quantitative evaluation confirms that heterozygous animals contain only half of the labelled protein as homozygous, which is an indication but not a proof that the correct stoichometry of adult GlyR is maintained. Likewise, mRFP-labelled gephyrin assembles with WT-gephyrin in subsynaptic domains, but it is not clear, if the size and density of the synapses is changed by the knock-in procedure as compared to WT-synapses.

      An effect of the mRFP tag on gephyrin clustering can be ruled out, since we observed no difference in synapse size and receptor density in GlrbEos/Eos animals with (Fig. 1, 2) and without the GphnmRFP allele (Fig. 4, 5, oscillator wild-type controls). Similarly, the synaptic mEos4b-GlyRb levels in heterozygous animals were precisely half those of the homozygous animals, strongly suggesting that the expression and trafficking of the tagged receptor subunit is unchanged, as the reviewer acknowledges. In the absence of any obvious behavioural and/or functional phenotypes (Fig. S2) this KI model is in our view is an exceptional tool to study GlyRs expressed at endogenous levels in a cell-type specific manner.

      Accepting these constraints, which to the knowledge of this reviewer have never been addressed to satisfaction, the authors provide a technically excellent, comprehensive analysis of glycinergic synapses in the spinal cord of double knock-in mice. Therefore, it should be stated in the title, that the investigations were performed with double knock-in instead of „native" spinal cord. Text and figures are clear and accurate and represent the state of the art.

      We thank the reviewer for the positive comments regarding the techniques used in the study, and the clarity of the text and figures. We have adjusted the title as requested.

      Finally, the reviewer would like to raise a minor point: the term postsynaptic density is derived from electron microscopical studies of synapses, where asymmetrical synapses display a „postsynaptic density" but symmetrical synapses do not. The latter were identified as inhibitory synapses and therefore, by definition, inhibitory synapses do not have a postsynaptic density, but rather a postsynaptic membrane specialisation. The use of the term „postsynaptic density" should, therefore, be restricted to excitatory synapses.

      We are conscious of the importance of correct definitions and have revised the terminology, referring to “postsynaptic sites”, “postsynaptic domains”, and “postsynaptic specializations” as appropriate throughout the manuscript.

      Significance:

      The authors provide a state of the art advanced light and electron microscopical analysis of glycinergic synapses in the mouse spinal cord. They suggest a robust "stereotypical" mechanism in place, which guarantees a fixed stoichiometry of relevant components, which is even maintained in a hypomorphic mutant, which is believed to represent a mouse model of human hyperekplexia (startle disease).

      Referee cross-commenting:

      I would like to corroborate the arguments of the previous reviewer: it is not clear to which extent the fusion proteins influence the measurements, which are technically very advanced and well done, however. The authors do definitely not investigate "native spinal cord" as stated in the title.

      The argument concerning fusion proteins must be taken especially serious as the fusions were induced in regions known to be responsible for assembly of glycine receptors and oligomerization of gephyrin.

      We have verified the receptor function with electrophysiological recordings and clarified exactly where the fluorescent protein was inserted (see reviewer 1 response). Given the similarity in synapse size, fluorescence intensities and molecule densities observed in neurons expressing different combinations of tagged and native receptors and scaffold proteins, we strongly believe that all animal models used are well suited to the experimental aims of our study.

      Reviewer 3:

      Summary:

      Glycinergic synapses are the least well understood of synapses that mediate fast synaptic transmission. The manuscript by Maynard et al. adds new information about the structural aspects of these synapses, using PALM and EM imaging of spinal cord synapses from mice at 2 and 10 months. The authors created a knock-in mouse that expresses a tagged GlyRbeta subunit, allowing synaptic localization of glycine receptors; all synaptically localized glycine receptors are thought to require the beta subunit to be tethered by gephyrin. The authors compare synaptic profiles from: 2 month old vs. 10 month old mice; dorsal vs. ventral horn; and GlyR1-reduced vs. wild type mice. Strikingly, they find a tight relationship across all of these variables between glycine receptor puncta and gephyrin puncta, as well as an apparently constant "packing density" of glycine receptors. They conclude that synaptic extent is likely to be the most important determinant of synaptic strength, as the density of receptors within the postsynaptic density is constant. These results use cutting-edge imaging and are analyzed with care, and add new information to our understanding of these relatively less well characterized synapses._

      Major comments:

      The key conclusions are convincing and the claims appear solid. Additional experiments are not needed to support these claims. The data and the methods are largely presented in such a way that they can be reproduced, although there are minor suggestions for improvement below.

      We thank the reviewer for his/her positive comments.

      Minor comments:

      Do the authors have any comment on the requirement during, e.g. LTP, for insertion of a gephyrin-GlyR unit? The lead author has speculated that gephyrin creates "slots" for GlyRs; yet apparently each slot is already filled in the snapshots taken here. How might postsynaptic LTP occur (Kandler group, Kauer group papers)?

      Given the reciprocity of GlyR and gephyrin clustering at synapses, the occupancy of binding sites (and in turn the number of available ‘slots’) is dependent on the strength of receptor-scaffold interactions, as discussed previously (Specht 2020, Neuropharmacol). In this study we demonstrate that the density of GlyRs at synapses is constant, which implies that the receptor occupancy is also the same, with the possible exception of mixed inhibitory synapses in the superficial dorsal horn that contain a majority of GABAARs. The PALM/SRRF data are represented as rendered image reconstructions and not as pointillist representations, and the detection of unoccupied binding sites is below the spatial resolution of our approach. However, the high spatial correlation of the signal intensities (ICQ ≈ 0.3) suggests that receptor occupancy is equal between and within synapses. It has previously been established that there are more scaffold proteins than receptors at synapses (Specht et al. 2013, Neuron; Patrizio et al. 2017, Sci Rep). Based on these studies we report that approximately half the gephyrin binding sites are occupied by receptors (lines 262-655). We have also expanded the discussion, describing how shape and size of synapses may affect synaptic transmission, as well as the possible role of receptor-gephyrin interactions in synaptic plasticity at glycinergic synapses.

      It would be very interesting in the discussion to contrast the present observations with what is known about excitatory synapses (NMDA and AMPAR distributions) and GABAergic synapses. Are the authors at all surprised that receptor packing is constant across conditions? Can the authors speculate on how non-gephyrin binding receptors (homomeric alpha receptors, which are found in recordings) may function and be tethered to the membrane.

      We have included additional information about receptor numbers and distributions at excitatory (lines 428-438) and GABAergic (lines 389-393) synapses in the discussion. So far, homomeric GlyRs composed of alpha subunits have been found to be exclusively extrasynaptic. As stated on page 4, lines 111-112 the beta subunit is required for binding of the GlyR to gephyrin and subsequent anchoring at the synapse. Previous studies have shown exocytosis of receptors to occur at extrasynaptic sites followed by lateral diffusion to synapses. Homomeric GlyRs are therefore most likely targeted to the extrasynaptic plasma membrane where they remain due to the lack of the beta subunit.

      Figure S1. It would be most helpful to quantify this; at the least to include an atlas-like drawing to allow identification of the structures illustrated and containing Glrb; better yet would be quantification of staining in regions where this is strongest.

      We have added an atlas indicating the different brain regions expressing mEos4b-GlyRb protein as a new Supplementary Fig. S3. The regional expression pattern agrees with the available literature about protein expression of the GlyRb subunit in different brain regions and hence provides further evidence that mEos4b-GlyRb is expressed like the native receptor. Due to the relatively low resolution of the tiled image no accurate quantification was possible. We have however added higher magnification confocal images of representative brain regions expressing varying amounts of GlyRb.

      The fact that the lower panel in B is labeled as +/+ across all groups is initially confusing; perhaps relabel as mEos4 -/-, +/- and +/+?

      We assume that the reviewer is referring to Fig1B. The genotype of both the GlrbEos and the GphnmRFP allele is now indicated on the x-axes, and the legend has been modified to clarify that all these animals were homozygous for GphnmRFP/mRFP. We have strived to remain consistent throughout the manuscript when referring to genotypes and protein levels.

      Do gephyrin levels drop in WT mice as well as in the mEosr-GlyRb mouse between 2 and 10 months? Do the authors have any thoughts on this (Supp figure S2)?

      We found no differences in gephyrin levels between 2 and 10 months. Fig. S2 (now Fig. S4C) shows the number of synaptic gephyrin clusters, which was the same at different ages and genotypes.

      Significance:

      Glycinergic synapses are the least well understood of synapses that mediate fast synaptic transmission. The manuscript by Maynard et al. adds new information about the structural aspects of these synapses, using PALM and EM imaging of spinal cord synapses from mice at 2 and 10 months. The authors created a knock-in mouse that expresses a tagged GlyRbeta subunit, allowing synaptic localization of glycine receptors.

      This will be of interest to those studying inhibitory synapses, and more broadly to synaptic morphologists, physiologists and imagers for comparison with other synapse types.

      My own expertise is NOT in these techniques, but I am a synaptic physiologist with a standing interest in glycinergic synapses; thus I am not providing serious technical critiques.

      Referee cross-commenting:

      Hi all, I agree with the other two reviewers, and do not have anything else to add.

      Reviewer 4:

      Summary:

      The authors used a correlative approach and combined photo-activated localization microscopy with electron microscopy to characterise Glycinergic synapses in spinal cord tissue. Some of the major findings are:

      • The receptor-scaffold occupancy and packing densities of glycinergic synapses in different regions of the spinal cord are the same.
      • Gephyrin clusters in the spinal cord are composed of sub-domains that shape the GlyR clusters.
      • Ventral horn synapses are generally larger, more complex (containing a number of gaps) and contain more GlyRs. -In a mouse model of Hyperekplexia, the number of GlyRs is reduced resulting in smaller synapses in the ventral spinal cord.

      Major comments:

      Are the key conclusions convincing? Yes

      Should the authors qualify some of their claims as preliminary or speculative, or remove them altogether? No

      Would additional experiments be essential to support the claims of the paper? Request additional experiments only where necessary for the paper as it is, and do not ask authors to open new lines of experimentation. No

      Are the suggested experiments realistic in terms of time and resources? It would help if you could add an estimated cost and time investment for substantial experiments. N/A

      Are the data and the methods presented in such a way that they can be reproduced? Yes

      Are the experiments adequately replicated and statistical analysis adequate? Yes

      Minor comments:

      Specific experimental issues that are easily addressable. Please see below

      Are prior studies referenced appropriately? Yes

      Are the text and figures clear and accurate? Yes

      Do you have suggestions that would help the authors improve the presentation of their data and conclusions? Please see below.

      As the authors pointed out, fusing mEos to the extrasynaptic terminal of GlyRb has been difficult and therefore this construct would benefit the larger scientific community. Fig 1C is a nice imaging control for expression efficiency, however, it is in stark contrast with the lack of functional control. Do authors have any electrophysiological evidence showing that the insertion of mEos4b doesn't modulate channel function? I would assume that the construct would be tested in cell lines before the KI mouse line was created. Was any functional analysis done? If yes, it would be very useful to show it. I do appreciate that the authors used a standard insertion between the 4th and 5th AA in the extracellular domain, which in most cases does not abolish channel function. Given the lack of an obvious phenotype in the KI mouse model, I believe that this is also the case here. However, I disagree with the statement in lines 120-121: "the presence of the N-terminal fluorophore does not affect receptor expression and function." I believe that if there are no electrophysiological measurements of GlyR function, this statement remains speculative. As the authors pointed out in their previous publication: "receptor function and gephyrin binding are not independent properties. Instead, we think that conformational changes triggered at extracellular or intracellular protein domains have downstream consequences on channel opening as well as receptor clustering." In line with this, my concern is that the modulation of channel function by mEos4b could result in an altered cluster size at synapses. There is a large body of literature showing that just one missense mutation in the extracellular domain of ion channel subunits can lead to synaptopathies because the channel function gets modulated, and there is an abundance of similar examples involving mutations of GlyR and GABAAR subunits. In my view, comparing the function of GlyRs incorporating wt-GlyRb and mEos4b-GlyRb subunits is important for the correct interpretation of the main findings of this work and would strengthen the publications.

      As the reviewer points out, the insertion of the mEos4b sequence was considered carefully in order to have the least impact on receptor function. GlyR channelopathies are often caused by point mutations within the coding sequence, which is not the case in the GlrbEos allele. Instead, the mEos4b sequence was inserted after the single peptide of GlyRb, duplicating several amino acid residues in order to maintain the correct cleavage site and N-terminus of the mature receptor, and to not interrupt the GlyRb coding sequence (Fig. S1B). In order to verify that the mEos4b-tag does not affect GlyR function, we have now carried out electrophysiological experiments (new Fig. 2C). For a detailed description please see the response to the first comment of reviewer 1.

      Line 189: Are the authors making conclusions based on intensity comparison of red mEos4b and mRFP? The title of this section implies that the red form of mEos was compared to mRFP(?) But mEos converts from green to red only partially. Was the probability for conversion taken into account at this point? Please clarify which version of mEos was compared to mRFP._

      In line 189 (now 218) we compared the intensities of mRFP-gephyrin with those of converted (red) mEos4b in SRRF / PALM super-resolution images of the synapses (Fig. 2D). Since the absolute intensities are altered by the process of image reconstruction, the probability that mEos4b is photoconverted does not have to be taken into account. The constant ratio of the SRRF and PALM image intensities confirms the data in Fig. 1D showing that GlyR and gephyrin amounts are highly correlated throughout the spinal cord (with the exception of the superficial layers of the dorsal horn). We have clarified in the text that this analysis was carried out on reconstructed SRRF images of mRFP-gephyrin and PALM images of mEos4, line 202.

      Line 192: Please clarify how the density threshold was calculated/determined? This is important for the replication of the experiments, and it also has implications for the calculated probability of detection of mEos4b. I am not aware that this probability was calculated before for mEos4b and therefore other researchers may decide to rely on the value calculated here.

      We have now clarified in more detail how the probability of detection was calculated (new Supplementary Fig. S7 legend).

      In Fig. 2 Gephyrin clusters look consistently smaller than GlyR clusters, which is inconsistent with the published work. I assume that the difference in size is a consequence of different image reconstruction methods(?) However, I would assume that SRRF would have lower resolution than your PALM measurements and that would result in wider Gephyrin clusters. Could you please explain this discrepancy? Also, could you provide an estimate for the image resolution in SRRF and PALM techniques? For SMLM, localization precision would suffice.

      We have provided an estimate of the resolution of the two techniques using Fourier ring correlation, which gave 46 nm for SRRF and 21 nm for PALM. Additionally we have precised the discrepancy between reconstruction methods, page 6, lines 194-200 “The spatial resolution was estimated using Fourier ring correlation (FRC), which measures the similarity of two images as a function of spatial frequency by comparing the odd and even frames of the raw image sequence. According to this analysis, the spatial resolution of SRRF was 46 nm and that of PALM 21 nm. It should be noted that the synaptic puncta in the SRRF images appear somewhat smaller and brighter due to differences in the reconstruction methods that result in differences in the dynamic intensity range.”

      Why is the data in Fig. 5D and E represented as Detections/Synapse instead of GlyRs/Synapse? Could you please re-plot this so that a comparison with Fig. 2H and I is straightforward?

      We have converted the detections to receptor copy numbers as requested (Fig. 5D,E).

      Figure S5C: for P=0.5, 2=0.25. Please correct. Also, I assume that the second graph is what would be observed experimentally for dimers and P=0.5. Please clarify in the figure caption.

      This was a mistake and has been corrected. We have also clarified which parts of the calculations are theoretical and which values were derived from our experimental data. We have provided a more detailed description in the figure legend of Supplementary Fig. S7.

      Line 606: Please provide a complete derivation of this formula.

      We have provided a full derivation of this formula (new Fig. S7C).

      Significance:

      The work described here seem to be a natural progression of a publication by Patrizio et al., 2017 that came out from the same laboratory. This study uses advanced methodologies in the imaging space to visualise and characterise Glycinergic synapses in spinal cord tissue. The experiments described here are technically demanding as evidenced by the relatively small number of publications describing super-resolution measurements in tissue samples. Even more rare are studies that attempt to do single protein counting in neuronal culture and tissue sections. Therefore, I believe that this work brings significant technical advancement in the field of super-resolution and corelative microscopy. The findings are also highly significant for all fields of neuroscience in which the structure of inhibitory Glycinergic synapse is relevant, ranging from the fundamental understanding of inhibitory synapse function to pathologies involving Glycinergic signalling._

      I have substantial experience in different microscopy methods, including quantitative super-resolution microscopy based on single molecule counting. My background also covers the structure and function of GABAA and Glycine receptors using electrophysiology. I am familiar with the methods used in electron microscopy and the process of creating KI mouse lines, however I don't have hands-on experience in these fields._

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      Referee #1

      Evidence, reproducibility and clarity

      Summary:

      In this manuscript Maynard et al describe a newly generated knockin mouse to study the endogenous distribution of Gly receptors in the spinal cord. Using quantitative confocal imaging and SMLM the distribution and levels of GlyRs at spinal cord synapses is compared between dorsal and ventral horn. They found that levels of synaptic GlyR are higher in dorsal than ventral spinal cord synapses. Nevertheless, the ratio to gephyrin seems constant, except for synapses in superficial layers of the dorsal horn, where gephyrin levels exceeded the levels of GlyRs. There are also fewer, but larger synapses in the ventral horn than in the dorsal horn. These findings are further corroborated by an SR-CLEM approach. Furthermore, it is shown that in a mouse model for hyperekplexia GlyR levels are lower, but still enriched at synapses, and the dorsal-ventral gradient in GlyR expression was maintained. The difference in size of ventral and dorsal synapses observed in WT animals was also lost in the oscillator mouse, suggesting that particularly the ventral synapses are affected. Despite these differences, the density of GlyRs per synapse remained similar.

      Major comments:

      • Line 113: "labeling the -subunit has proven difficult". This statement is unclear and it would be informative for readers to grasp what exactly has been difficult, and why the approach described here overcomes that? Related to that, the authors state "KI animals reach adulthood and display no overt phenotype, suggesting that the presence of the N-terminal fluorophore does not affect receptor expression and function". That is indeed reassuring, but it does not exclude that receptor numbers, function and distribution are altered. As it seems there is no prior literature on tagging the beta subunit, additional evidence that the tag does not interfere with receptor trafficking or functioning would be desirable
      • In the Discussion the authors conclude that "Our quantitative SR-CLEM data lend support to the first model, whereby inhibitory PSDs in the spinal cord are composed of sub-domains that shape the distribution of the GlyRs". This conclusion seems however based on one example image in Fig 3G that is not very convincing. The EM image seems to show two clearly separated PSDs opposed by two distinct active zones. So, although this conclusion is of high interest, more support should be given to substantiate this conclusion. More general, these subsynaptic domains (SSDs) are hardly further explored, but seem relevant for transmission, particularly given that the synaptic pool of GlyRs at these synapses is not saturated by single release events. How general are these SSDs at these synapses?
      • The approach for counting molecules based on the PALM acquisition has been developed in prior publications and seems robust. It would however be worth to present the reader with a bit more background and explain the assumptions of this approach in more detail. Particularly, since counting of mEos4b can be problematic, as there are multiple dark and fluorescent states of this fluorophore that could be influenced by the illumination scheme, see for instance De Zitter et al., Nat Methods 2019. Since the preceding SRRF acquisition already exposes the fluorophore to high and continuous 561-nm laser power this could skew the counting due to unaccounted conversion and perhaps bleaching of mEos4b. In line with this, although throughout the manuscript the term 'absolute copy numbers' is used the reported numbers are at best an estimate based on a number of assumptions. I think the wording 'absolute numbers' is therefore deceiving and should be nuanced.
      • Related, most of the quantifications are in estimating the number of receptors, and not so much the distribution with the PSD. The term "molecular arrangement" - also used in the title - might therefore be misleading, there is in fact little characterization of how GlyRs are placed within the PSD. More focused analysis quantifying the distribution of receptors within the PSD and/or SSDs would strengthen the manuscript.
      • The reported N is confusing and makes it hard to judge the reproducibility of the data. Sometimes it refers to number of images, sometimes number of synapses, but it is unclear from how many experiments these are drawn. This should be reported more completely (number of animals should be reported at least) and consistently. In figure 1, the N numbers (N=3-5 images) are particularly low and question how consistent these findings are across multiple animals.
      • The levels of mRFP-Gephyrin seem to differ between the different mouse lines, is this a significant difference?
      • The ICQ analysis for co-localization is hardly explained. How do we interpret this parameter? What does an average value of ~0.3 mean? A comparison with sets of proteins that do not overlap as a negative control would strengthen the conclusion.

      Minor comments:

      • "Very little fluorescence was detected in the forebrain, despite the high reported expression of the Glrb transcript". Can the authors expand on this? What would explain this discrepancy?
      • What region is quantified in Fig 1B? is the same region in all conditions? This should be specified more clearly as the manuscripts presents a clear gradient in expression levels in the spinal cord and thus the location will influence the intensity measurements.
      • The labeling approach does not differentiate between surface and internal receptors, this should be made more explicit in the text.

      Significance

      The presented data are interesting and the experiments are technically advanced and carefully performed. Particularly the SR-CLEM approach is technically advanced. The datasets present a quantitatively detailed characterization of spinal cord synapses and will be of interest for researchers working in the field of spinal cord circuitry, as well as super-resolution imaging. The conceptual advance for the field is however somewhat limited. It seems that the presented data confirm the general notion that receptor numbers and synapse size are highly correlated. So, although this manuscript describes very interesting observations, in its present form the manuscript does not provide any new mechanistic insight or significant advance in our understanding of how these synapses operate.

      Referee Cross-commenting

      I agree with the other reviewers that this study is technically advanced, but I remain critical towards the extent of conceptual advancement this study brings and there are some important concerns with the presented data that need to be addressed. Nevertheless, indeed many of these concerns can be addressed without additional experiments. As pointed out also by other reviewers additional validation that the fusion proteins are not disrupting their function or organization would be important.

    1. SciScore for 10.1101/2021.09.03.21263105: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: All participants provided written informed consent.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Study participants and sample collection: The study participants were enrolled in the ACTIV-2/AIDS Clinical Trials Group (ACTG) A5401 phase 2 randomized, placebo-controlled trial of bamlanivimab 7000mg and 700mg mAb therapy.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">IgG was detected by incubation with MSD SULFO-TAG anti-IgG antibody.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-IgG</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 quantitative Laboratory Developed Test (LDT) was developed utilizing open mode functionality on m2000sp/rt (Abbott, Chicago, IL) by using EUA Abbott SARS-CoV-2 qualitative reagents30.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Abbott</div><div>suggested: (Abbott, RRID:SCR_010477)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Raw sequence data were analyzed using PASeq v1.4 (https://www.paseq.org).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PASeq</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, data were quality filtered using Trimmomatic (v0.30), using a Q25/5 bp sliding window and a 70 bp minimum length.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Trimmomatic</div><div>suggested: (Trimmomatic, RRID:SCR_011848)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Filtered reads were then merged with pear v0.9.6 aligned to the reference sequence using Bowtie2 v2.1.0)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pear</div><div>suggested: (PEAR, RRID:SCR_003776)</div></div><div style="margin-bottom:8px"><div>Bowtie2</div><div>suggested: (Bowtie 2, RRID:SCR_016368)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All statistical analyses were performed in GraphPad Prism (Version 9.1.1)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      One limitation to this study is that bamlanivimab is no longer used clinically as a single agent. These results, though, provide important proof of principle for the role that drug resistance may have on virologic and clinical efficacy of SARS-CoV-2 antiviral therapies. These lessons have implications for the development of novel COVID-19 antiviral therapies and have continued relevance for other clinically-approved single agent monoclonal antibody treatments29 and for combination therapies where one agent may be ineffective due to circulating variants13. Another limitation of this study is the limited sample size of this phase 2 study, especially in the bamlanivimab 7000mg cohort. While treatment-emergent mutations were not found in ACTIV-2 participants receiving the higher 7000mg dose of bamlanivimab, they were frequently detected in the larger BLAZE-1 phase 2 trial of the 7000mg dose7. One difference between these studies was the longer duration since symptom onset for the ACTIV-2 participants, who enrolled a median of 6 days since symptom onset versus 4 days for the BLAZE-1 participants. This likely led to higher pretreatment viral loads, which we found to be a risk factor for resistance emergence. Unfortunately, baseline viral loads could not be compared between studies as the BLAZE-1 study did not use a quantitative SARS-CoV-2 viral load assay. These disparate results highlight the importance of incorporating quantitative viral load testing and resistance testing for CO...

      Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04518410</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">ACTIV-2: A Study for Outpatients With COVID-19</td></tr></table>


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.09.07.21262911: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study was approved by the ethics and research committees of the Instituto Nacional de Medicina Genómica (CEI/1479/20 and CEI 2020/21).<br>Field Sample Permit: Effective reproduction number estimation for variants B.1.1.222 and B.1.1.519: We grouped all sequenced samples based on the epidemiological week as the date of sample collection.<br>Consent: Verbal consent and identification were the first steps when calling each subject included in the final analysis.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Sequencing was performed on the MinION platform, and the final library (15 ng) was loaded onto the flow cell R.9 according to the manufacturer’s instructions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MinION</div><div>suggested: (MinION, RRID:SCR_017985)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">A final consensus FASTA file was generated by first marking positions not covered by at least 20 reads from either group as low coverage and building a pre-consensus FASTA with BCFtools consensus, which was subsequently aligned against the reference sequence using muscle (v.3.8.1551).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BCFtools</div><div>suggested: (SAMtools/BCFtools, RRID:SCR_005227)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Phylogenetic Analysis: The sequences were aligned with MAFFT (version 7.475) using the FFT-NS-2 algorithm20,21.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MAFFT</div><div>suggested: (MAFFT, RRID:SCR_011811)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">A maximum-likelihood phylogeny was calculated with FastTree (version 2.1.11) compiled with the double precision tag using a generalized time-reversible model (GTR)22,23.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FastTree</div><div>suggested: (FastTree, RRID:SCR_015501)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Hypo.thesis apparently can't handle page 96, so here are my notes on it. New note: "'Or complex,' volleyed Dunraven. 'Remember the universe.' Funny banter isn't something I've seen in many other Borges stories, but he's good at it. New note: "volleyed Dunraven." Borges breaks the rules a bit by using a descriptive dialogue tag. I think he does it really well, though. "Volleyed" communicates more than, say, "retorted." It tells us a bit about Dunraven's tone and what kind of comment he's making, which is already clear because Borges' dialogue is sharp and clear, but it also tells us that Dunraven might think of conversation as a game or a competition. Originality helps here, too. I don't think I've seen "volleyed" used as a dialogue tag anywhere else. New note: "Climbing up steep sandy hills...." Their walk needs a little more specificity, in my opinion. Maybe it would be more clear with a description of these characters coming over a hill past Dunraven's family shack and seeing the labyrinth in the distance, or something like that. The beginning of this paragraph was pretty disorienting at first. The disorientation definitely could be intentional, though. Borges could be setting something up with that vagueness.

    Annotators

    1. Also, give up now on the idea of trying to get everything tagged. If you can set a baseline of 80% or better, you’re outperforming almost everyone. And, in most cases, you’re not an organization where you’re required to spend thousands of dollars to allocate that last 20 cents. Lastly, never ever expect people to tag things by hand. They won’t. If you want decent tag coverage, tagging absolutely must be automated.
    1. With Tag Editor, you build a query to find resources in one or more AWS Regions that are available for tagging. You can choose up to 20 individual resource types, or build a query on All resource types. Your query can include resources that already have tags, or resources that have no tags.
    1. Automation and proactive tag management are important, but are not always effective. Many customers also employ reactive tag governance approaches to identify resources that are not properly tagged and correct them.
    1. SciScore for 10.1101/2021.09.12.459978: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The plasmids of all S variants were transiently expressed in HEK293 Freestyle cells with polyethylenimine.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293</div><div>suggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, transient expression of recombinant ACE2 was achieved in Expi293 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Expi293</div><div>suggested: RRID:CVCL_D615)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Pseudovirus neutralization assay: The pseudovirus neutralization assays were performed using 293T cells overexpressing ACE2 as described previously32.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Expression and purification of S-Beta, Gamma, Delta, and Kappa variants: The codon-optimized DNA sequences corresponding to residues 1-1209 of S-Beta, Gamma, Delta, and Kappa variants were individually cloned into the mammalian expression vector pcDNA3.4-TOPO (Invitrogen, U. S. A.), which contains a foldon trimerization domain based on phage T4 fibritin followed by a c-Myc epitope and a hexa-repeat histidine tag as previously described32,42.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA3.4-TOPO</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data processing was accomplished by using cryoSPARC v2.14.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>cryoSPARC</div><div>suggested: (cryoSPARC, RRID:SCR_016501)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data acquisition was performed on a 300 keV Titan Krios microscope equipped with a Gatan K3 direct electron detector (Gatan, U. S. A.) in a super-resolution mode using EPU v2.10 software (ThermoFisher Scientific, U. S. A.).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>EPU</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Image processing and 3D reconstruction: All 2x binned super-resolution movie files were analyzed by Relion-3.044 with dose-weighting and 5×5 patch-based alignment using MotionCor2 (v1.2.6)45.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MotionCor2</div><div>suggested: (MotionCor2, RRID:SCR_016499)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Structural visualization and rendering of structural representations were accomplished by using UCSF-ChimeraX and Pymol 2.4.1 (Schrodinger Inc. U. S. A.)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Pymol</div><div>suggested: (PyMOL, RRID:SCR_000305)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">IC50 was determined by a four-parameter logistic regression using GraphPad Prism 9 (GraphPad, U. S. A.).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. With the new Readwise reading app, not only will these resurfacing and syncing features not go away, they will be enhanced through tight integration into the reading experience. Some examples: Whenever you take a new highlight, you can see that highlight instantly propagated throughout your note-taking apps. Whenever you annotate a document, you can forge connections to other documents, authors, notes, and highlights — using the same fuzzy search, autocomplete and backlinking you'd expect in any modern tool for thought. Whenever you tag or add an annotation to a resurfaced highlight, you can see that update reflected in the margin of the original document (and vice versa). In addition to expanding the quantity of things you can retain, the Readwise reading app also facilitates the ease with which you can recall.

      .readwise-whatis

    1. Reading at a Higher Level Not only does inline tagging make it easy to add keywords and categories to your highlights, consistent use will also elevate your reading practice to the next level. Distilling a highlight down to a single keyword or forging an association between a passage and something you're working on are both forms of actively engaging with what you're reading. And actively (rather than passively) reading is essential to getting more of what you want out of books

      .tag-why .read-howto

    2. Keyword tags can help you quickly recall a passage's content, reference relevant material on a topic of interest, or identify interesting patterns in your thinking. And categorical tags can help you organize your highlights into actionable workflows for later use.

      .c1 .tag-whyto Use both Keyword and Categorical tags.

    3. inline tagging — the subject of this guide — makes it even easier because adding keywords and categories in the moment is much faster than adding them after the fact.

      .c2

    4. An inline tag is a special note taken while you read that's automatically converted into a tag in Readwise. Tagging in the moment is much faster than tagging after the fact, and once your highlights have keywords and categories, they're much easier to review and reference.

      .tag-howto

    1. Any highlight you tag as a heading won’t show up during reviews/Readwise’s daily emails, but the structure will show up in the Readwise (web) app and in your exports to Roam

      .c2

    1. An #each tag can loop anything with a length property, so: {#each {length: 3} as _, i} <li>{i + 1}</li> {/each} will also work, if you prefer.
    1. SciScore for 10.1101/2021.09.08.21263027: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the local Ethical Review Board (41/21) and conducted according to the Declaration of Helsinki.<br>Consent: Blood Plasma samples of patients with PIMS/MIS-C according were taken after written informed consent in the department of Pediatric Cardiology of the Saarland University Hospital (Homburg/Saar, Germany), the Department of Pediatrics, Klinikum Saarbrücken (Germany), the Department of Pediatric Rheumatology and Immunology of the University Children’s Hospital Muenster (Germany), the Department of Pediatrics, Hospital Sant Joan de</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All patients with PIMS/MIS-C fulfilled the WHO criteria, in addition all patients were seropositive for antibodies against SARS-CoV-2 or had positive PCR, with the exception of one patient who had only reported contact to SARS-CoV2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>SARS-CoV2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ELISA for autoantibodies against PGRN, IL-1-Ra: The ELISA for autoantibodies was performed as previously described (19).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PGRN</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Recombinant IL-1-Ra at 40ng/mL (Biozol, #PPT-AF-2000-01RA) alone or with either anti-IL-1-Ra antibody at 5 µg/mL (antibodies-online#ABIN2856394), recombinant SLP-antibody at 5µg/mL (abcam, #ab191883), plasma diluted 1:20 of a patient with acute PIMS/MIS-C and high-titered IL-1-Ra-antibodies (PIMS-I), or plasma diluted 1:20 of the same patient 7 months after PIMS/MIS-C without anymore detectable IL-1-Ra-Abs were preincubated for 2h at room temperature.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>#PPT-AF-2000-01RA</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-IL-1-Ra</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>antibodies-online#ABIN2856394</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">In short, the antigens were obtained using the coding sequences of the GRN gene encoding PGRN, isoform 1 precursor of IL1RN were recombinantly expressed with a C-terminal FLAG-tag in HEK293 cells under the control of a cytomegalovirus promoter (pSFI).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293</div><div>suggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      The relatively small number of cases included in the present study, due to the rarity of the disease, is a limitation. Nonetheless, these antibodies suggest to be pathogenetically relevant and should be further investigated in PIMS/MIS-C and other hyperinflammatory diseases.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


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      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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    1. It is advised to inline any css @import in component's style tag before it hits css-loader. This ensures equal css behavior when using HMR with emitCss: false and production.
    2. while we figure out how to best include HMR support in the compiler itself (which is tricky to do without unfairly favoring any particular dev tooling)
    1. It is an issue tracker but we don't have a backlog, or planning sessions, or a project board. Or the resources to even triage and tag effectively. If it is important someone will respond / reopen, popular issues are exempt from the bot, we can't fix everything and this is pretty much our only view on stuff that need to be addressed. We need to make some attempt to make sure that everything is still relevant and reduce the noise to a degree where we can actually manage it. I understand the trade-offs with stale bots but we don't have many options. I appreciate your experiences but that doesn't make them a fact. We have discussed this internally and this is what we are doing. If you have any other actionable alternatives outside of saying the bot is bad then we are all ears.
    2. Most issues have been manually labelled as stale rather than automated and closure will be manual too, so we have time to think.

      manual action time to think

    1. Why Reading This Article Won’t Help You Be a Better Entrepreneur

      .h1 Can I write the Summary Note using the tag 'dot h1'?

    1. Gems use a period and packages use a dot

      Probably a false distinction, because "packages" is used in a way that it implies a distinction from "gems", when in actuality

      1. gems are packages, too (Ruby packages)
      2. it's referring specifically to JavaScript/node/npm packages,

      ... so there is only truly a distinctio if you are specific enough to say JavaScript packages.

    1. Author response


      September 9, 2021

      We would like to thank ASAPbio for selecting our preprint for review! We are excited to contribute to this new process and hope others will find it as helpful as we have. The comments generated by the “crowd” were detailed and thoughtful. Below we respond to the major discussion points and if there were specific reviewer comments relevant to the discussion point, we also included that statement. We also responded to each specific comment. We would love to continue this discussion, so we invite further feedback and responses! Thanks so much for your time.

      -Chelsea Kidwell, Joey Casalini, and Minna Roh-Johnson


      Major Discussion Point #1:One of the most important claims is that mitochondria are the organelles responsible for the activation of the signals of cell proliferation. However, a previous report by the last author reported that macrophages transfer cytoplasm to recipient cells. It cannot be excluded that other organelles or cellular fragments are transferred as well and contribute to the observed effects (ERK activity). Perhaps a good way to solve this would be the use of macrophages that are devoid of mitochondria. At least, this aspect should be discussed in the manuscript.

      🡪 We had first considered two approaches to test the requirement and sufficiency of macrophage mitochondria in cancer cell proliferation. The first was to generate rho-zero macrophages (mtDNA-deficient), as you mention in your comment, such that the macrophages did not have functional mitochondria. However, we use primary human macrophages for all of our studies, and these cells would not survive long enough to generate rho-zero cells (which requires that the cells be treated with low levels of ethidium bromide for weeks). The second is to biochemically purify mitochondria from macrophages and directly inject these mitochondrial preps into breast cancer cells. We actually did this experiment, and cancer cells injected with purified mitochondrial preps exhibited higher proliferation (by live timelapse microscopy) compared to control cells. However, we also found that the mitochondrial purifications were not clean, and contained other membranous components in the cytoplasm. We tried centrifugation-centric approaches, as well as IP-ing against a mitochondrially-localized tag, but in all cases, the mitochondrial preparations contained other cytoplasmic components. Therefore, we did not feel that this approach was an adequate way to test effects of specifically the mitochondria. We certainly wanted to discuss this aspect in the manuscript, but unfortunately, we were limited due to space. If folks have suggestions on how to best purify mitochondria, we’d love to know, so please reach out.

      However, in terms of the bigger question of whether the induced proliferation in cancer cells is specifically due to ROS accumulation in transferred macrophage mitochondria, we tried to address this question with the mito-KillerRed experiments, where we generate ROS using optogenetics, and ask whether this accumulation is sufficient to induce cancer cell proliferation (which we showed it was). We also showed that this same approach could induce Erk activity, and then in separate experiments, we show that macrophage mitochondrial transfer results in accumulation of ROS and increased Erk activity. We feel that these experiments support our conclusions, however, we’d love for a way to link it all together. Unfortunately, we are not convinced that such experiments are possible at this time.

      Major Discussion Point #2: Most of the positive examples of transferred mitochondria discussed appeared in a small clump. However, there also appears to be another population that was more diffuse and co-localizes with host mitochondria (e.g., Fig2B, bottom right panels). It would be helpful to show results of these sibling mitochondria for assays performed on their clumpy siblings. If they behave differently, it would be helpful to provide some explanation.

      Specific Comment: Figure 2 Majority (57%) of donated mitochondria do not colocalize with LysoTracker signal (N=24 cells, 4 donors) - Here the paper implies that some transferred mitochondria do co-localize with lysoTracker signal. More importantly, they co-localize with host mitochondria. It raises the question of whether they signal through ROS and ERK like their clumpy siblings who are in the limelight of most figures.

      🡪Yes, you are correct. There does appear to be a diffuse population of macrophage mitochondria. The majority of these mitochondria co-localize with lysotracker, suggesting that they are being actively degraded. We can’t say that they tend to co-localize with endogenous cancer cell mitochondria, however, it’s possible that this diffuse population is comprised of both mitochondria that are being degraded and mitochondria that are fusing with the endogenous network. We do not know if this population has a different effect on cancer cell behavior because we did not follow this population (mostly because once the mitochondria are degraded or fuse with the network, we can no longer follow those mitochondria!). However, we did follow cancer cells that contained punctate macrophage mitochondria. Often times this was the only population we could observe in the cell at that time, and this is the population in which we observe accumulated ROS.

      Major Discussion Point #3:The effects that are attributed to the transferred mitochondria are highly variable (figures 1F, 3A,E) and often due to a subpopulation of samples that show a few extreme values (e.g. figures 2D, 3E, S4B, S4D). This might be expected from effects that are caused by a single mitochondria (which has a small volume) that is transferred to a complete cell. This complicates the study of the transfer process and effects and should be discussed. Also, do the authors have ideas how to improve the system, to make it more robust and easier to study the effects?

      🡪The variability in the assays likely reflects the heterogeneity within the biology - Each experiment contains macrophages derived from primary monocytes that are harvested from different human blood donors! Due to the primary nature of these cells, we do expect a range of phenotypes as each donor would have a different genetic background and the monocytes were likely exposed to different environmental stimuli. In fact, even though working on this study was a giant pain due to the variability, we felt more confident about our findings because despite the heterogeneity in the system, we still observed consistent phenotypes. Below we indicate where we took a sample set and removed “outliers”, and ran the statistical tests again. The differences were still statistically significantly different, further suggesting robustness of our findings.

      However, we are always on the lookout for ways to make the system easier to study. One way that we will follow up on is using M2-like macrophages since they transfer mitochondria at a higher rate than unstimulated macrophages.

      Major Discussion Point #4: The authors conclude that the transfer of dysfunctional mitochondria generated a signal mediated by ROS that activates cell proliferation signals. The statement that "transferred mitochondria act as a signaling source that promotes cancer cell proliferation" is too strong. There is increased ROS production from mitochondria, yes, but an experiment in which ROS are decreased would be needed to properly sustain that conclusion. The title and abstract could be changed to better reflect the data.

      Specific Comment: ‘Furthermore, treatment with an ERK inhibitor (ERKi) was sufficient to inhibit ERK activity ‘- curious as to whether antioxidant treatment would reverse any proliferative phenotypes?

      🡪We wish we could quench the ROS at macrophage mitochondria. We really tried. We used a combination of ROS quenchers (NAC, mitoTempo, Tempo) and ROS readouts (mitoSOX, CellRox, DCFDA, and the 2 biosensors used in our study: Grx and Orp1), and treated cells for various amounts of time, and no matter what we tried, we could not reliably detect reduction of ROS levels in the host network or the transferred mitochondria (without killing the cells, that is). Another issue that we faced was that any pharmacological treatment would have a global effect on the mitochondrial network in the recipient cells and therefore it would not be possible to distinguish effects from global inhibition of ROS versus specifically at the site of the transferred mitochondria, and we certainly observed cell death upon treatment of ROS quenchers because of this fact. We talked to a couple of ROS experts, and they indicated that this issue is not unique to us, although we unfortunately did not have viable solutions, so if people have ideas or suggestions, please let us know!!

      However, despite our failed attempts at quenching ROS, the comment that "transferred mitochondria act as a signaling source that promotes cancer cell proliferation" is too strong of a statement… well, we don’t entirely agree given that we do perform sufficiency experiments in which weinduce ROS and observe both proliferation and ERK signaling, so we do feel reasonably justified to provide the title that we did. However, we will continue to mull over this comment. Thanks for sharing your thoughts.

      Major Discussion Point #5:The study may benefit from more direct evidence to support its conclusion of increased proliferation after mitochondrial transfer. While the RNA-seq, flow cytometry, counting of completion of cytokinesis and dry mass measurements provided in the present study do lend some support to the proliferation hypothesis, they all seem indirect. With the biomarkers labeling the mitochondria of donor and potential recipient cells, high content imaging and tracking of cells could be used to monitor cell division. A comparison of cell division rates of transfer-positive cells and transfer-negative cells will provide a more pertinent test of whether mitochondrial transfer promotes recipient cell proliferation.

      🡪We should probably do a better job at describing the dry mass measurements (QPI, quantitative phase imaging) because we view this quantification as one of the most direct measurement to monitor cell growth/division. The approach measures the changes in dry mass as the cells prepares for cell division. So not only do we get the final readout of division (complete cytokinesis), but we also get a measure of that growth rate (the cell getting ready to divide) before cytokinesis. This is why we are so tickled to collaborate with Tom Zangle’s lab because we could finally get a direct proliferation readout in real-time. We could also use this approach to follow thousands of cells at a time, a very critical aspect since mitochondrial transfer is rare event, and therefore, we need to follow many cells to have enough statistical power to quantify the growth rates. Check out some of the Zangle lab’s other papers (PMC5866559; PMC6917840; PMC4274116), and please let us know if you disagree with us!

      Major Discussion Point #6: The authors have used such a tracking-based approach on a very small scale (n=5) to measure daughter cell growth rate. However, the data do not show a statistically significant difference between the growth rates of daughters that inherited transferred mitochondria and those who did not (Fig S3). Increasing the case number via high content imaging would help obtain sufficient data points for a reliable statistical test. In addition, as suggested above, an accounting of the daughter cells' division rate for transfer positive and negative cells would provide another line of evidence to either prove or disprove the increased proliferation rate hypothesis. The same suggestion goes to the optically induced ERK activation experiments shown in Fig3F. It is also helpful to include references that studied how ERK signaling promotes proliferation and compare the evidence here with evidence or assays used in those studies as a benchmark.

      Specific Comment:Figure S3 - There is no statistical test to check for ‘increase in their rate of change of dry mass over time versus sister cells that did not inherit macrophage mitochondria’. What are the colours indicative of in S3B? Can this be reported in the figure legend.

      🡪You are right – the tracking-based approach on daughter cells is based on a small ‘n’. However, the tracking itself is performed on 1000s of cells. It’s just that in order to capture daughter cell data, we have to find a cancer cell with macrophage mitochondria (which is only ~1% of the population), and then follow that cell until it divides, and then follow BOTH daughter cells. So, even with the 1000s of cells that we followed, we could only capture a small number of daughter cells. The colors in S3B represent each individual triads – parent and 2 daughters. We will make this info clearer in the legend.

      In terms of the optically-induced ERK activation experiments, yes, it would be great to have a higher sampling. These experiments were performed at 63x so we could reliably draw small ROIs to mimic the size of a macrophage mitochondria. While we switched to lower magnification to follow cell division, we still were limited to only a few cells for the actual photoactivation. The technical aspects of this experiment were the reason for the low sampling. Despite these limitations though, we still observed increased cell division upon mito-killerred photoactivation, which we were honestly pretty surprised (and stoked) about.

      Other specific comments:

      -Figure S1A - The authors could perhaps use a more aggressive gating strategy here, clipping closer to the 231 population described in Fig S1A - picking only the center of the cluster in the upper left of the RFP vs CD11b plot would likely not affect results but make them more convincing by unequivocally excluding macrophages.

      -Figure 1D - Not sure about the 0.2% baseline assigned for the monoculture of cancer cells (that does not have the macrophages with the Emerald mitochondria). It is determined with cytometry - I am no expert on that topic, so maybe I missed something - but it looks weird to see some cells with transfer when there is a monoculture.

      🡪Due to the variable nature of the mito-mEm signal in the recipient cancer cells (i.e. transfer of one mitochondrion vs transfer of three), we found that an overlap of 0.2% set on a fully stained monoculture control was the most accurate way to gate for the recipient cancer cells. The final gating strategies used in our study were determined by FACS-isolating populations of interest based on several different gating strategies, and directly visualizing cancer cells with macrophage mitochondria without capturing macrophages or cancer cell/macrophage fusions (which is cool, but not what we wanted). To further clarify, there is no transfer occurring in the monoculture – the overlap of mEmerald signal into the transfer gate in that control sample is likely reflective of normally occurring autofluorescence. This is a very important point, so we will make this aspect clearer in the Methods section.

      -Figure S1B - Could perhaps be an interesting follow-up question for future works re: differences between cell lines and propensities to transfer mitochondria. Did the authors attempt to use other cell lines (ie, MDCK, HeLa, iPSCs, etc)?

      🡪Great question and something that we have also been thinking about. To date the only recipient cells we have used are 231, MCF10A, and PDxO cells. This would be a great avenue for future studies.

      -Figure S1B - Did the authors see an increase in growth rate in MCF10A line despite the lower growth rate?

      🡪We have not measured the growth rate in MCF10a recipient cells but something that would be great to follow up on in future studies.

      -‘physically separated from macrophages by a 0.4μM trans-well insert’ - should this read 0.4 micrometer?

      🡪Yes, great catch.

      -Figure S1F - The authors wrote that they used a two-way ANOVA analysis, could you report the factors used for that analysis in the Figure legend.

      🡪Noted!

      -Figure 1B - It is difficult to see the arrowheads in 1B, suggest moving them so they are not covering the magenta fluorescence, have them point from a different angle, and make them more brightly colored. Insets here would help the reader. A negative control image from a monoculture would also be helpful, to ensure the GFP signal is not an artifact of culture conditions.

      🡪Thank you for your feedback – we will take note of this.

      -Figure 1F - For graphs that do not show zero (as in 1F), the bar should be omitted. In these cases the length of the bar does not reflect the average of the data (as it does in 1D).

      -Figure 3C - Please omit bar, see comment on panel 1F.

      🡪 In the case of Fig 1F, we modified the y-axis to eliminate empty space. The bar is representative of mean of the data displayed in both 1D as well as 1F, but we can add a broken y-axis to help make this point.

      -Figure 1 - Given that these data are fractions of a population (ie. can be described via a contingency table), isn't something like a Fisher's exact test a better measure of significance here?

      🡪We think you are referring to Figure 1D? If so, we thought that we could not use Fisher’s exact test because that test assumed parametric distributions (which we do not observe). We have been working with a biostatistician for our statistics, but please do let us know if we have it wrong.

      -Single cell RNA- sequencing - In the methods section the authors mention doing a differential analysis between the cells that received the mitochondria and the cells that didn’t. It might be worth introducing a figure (a heatmap or a U-MAP) relating to this analysis. Single cell sequencing would not only affirm the heterogeneity between these two populations but also help in highlighting the novel cell surface markers associated with the two populations.

      🡪Yeah, good point – we can add a UMAP.

      -‘mito-mEm+ mitochondria remained distinct from the recipient host mitochondrial network, with no detectable loss of the fluorescent signal for over 15 hours’- It is surprising that the transferred mitochondria do (or cannot) fuse with the host 231 mitochondria.

      🡪We were also initially surprised to find that the transferred mitochondria do not fuse with the host 231 network! We think that the lack of fusion is due to the fact that the transferred mitochondria do not exhibit membrane potential (which is required for mitochondrial fusion). We also think that these results open interesting lines of questioning: Why are these depolarized mitochondria not degraded? Is this an active avoidance of the mitophagy pathway? How dynamic are these punctae? Many fun and interesting questions regarding the long-lived nature of these transferred mitochondria.

      -It is unclear in these images, but the 231 mitochondria appear fragmented too. Is it possible that the mitochondrial fusion machinery (Opa1 or Mfn1/2) are inactive?

      🡪231 cells are capable of fission and fusion (PMC7275541, PMC3911914, and in our own timelapse recordings), so we think that the machinery is functional. However, we don’t know whether the 231 mitochondrial machinery changes after receipt of macrophage mitochondria. Interestingly, the references above both investigate how mitochondrial dynamics promote tumor metastasis. A fascinating future direction could include an investigation to how macrophage mitochondrial transfer influences tumor cell mitochondrial dynamics.

      -Figure 2B - What does the MTDR staining of the macrophage mitochondria prior to transfer look like? Important to check this to confirm that only the transferred mitochondria had lower membrane potential.

      -‘significantly higher ratios of oxidized:reduced protein were associated with the transferred mitochondria versus the host network’-Here too, it would be important to check the mito-Grx1-roGFP2 readout of macrophage mitochondria prior to transfer.

      🡪The way that these comments are written is as if we already know that the mitochondria are dysfunctionalbefore transfer to cancer cells. But we actually do not know if that is the case. It’s also possible that macrophage mitochondria become dysfunctional once they are in the cancer cell, which would be equally cool. So, we are actively investigating this biology.

      -Figure 2A, 2BB and S1D - How were the colocalizations assessed? Was it just a visual assessment? Given the importance of these experiments for the whole story, having a quantification of the level of colocalization with each dye would be important.

      🡪This is a good point and it should be straightforward to include a Pearsons coefficient for these markers.

      -Figure S1D - The paper makes an argument about mitochondria transferred from Macrophages (marked green) having positive DNA stain (gray), but appearing depolarized (negative TMRM stain). The image in FigS1D is peculiar, as the majority of the 231 cells' mitochondria appear to not have any DNA stain but maintain membrane potential (positive in TMRM), while some (just above the green macrophage mitochondria) do have both DNA stain and membrane potential. The authors might want to clarify whether this is a typical scenario, and if so perhaps offer an explanation as to why the 231 mitochondria exhibit such heterogeneity.

      🡪The images in S1D are of a single z-plane image therefore the DNA signal in the endogenous network is more readily visible in planes that are not shown.

      -‘we confirmed that 91% of transferred mitochondria were not encapsulated by a membranous structure, thus excluding sequestration as a mechanism for explaining the lack of degradation or interaction with the endogenous mitochondrial network’ - This is based on co-staining with MemBrite 640/660, which is a dye that "covalently labels the surface of live cells", thus there is a concern as to whether this approach allows to study whether the mitochondrium is encapsulated by an endomembrane.

      🡪Thank you for your feedback. We actually do think that Membrite can label endomembrane in addition to the plasma membrane. This is from the published Membrite protocol: “MemBrite™ Fix dyes are designed to be fixed shortly after staining, when they primarily localize to the plasma membrane/cell surface. Cells also can be returned to growth medium and cultured after staining, however, dye localization in live cells changes over time. Labeled membranes become internalized, so staining gradually changes from cell surface to intracellular vesicles, usually becoming mostly intracellular after about 24 hours. Internalized MemBrite™ Fix dye is usually detectable for up to 48 hours after staining, though this may vary by cell type”.

      In our hands, we found that the dye started to become internalized and labeled vesicles within the cell within a few hours of staining. The images in the panels that you refer to came from time-lapse imaging experiments of between 10-15 hours, therefore the cells have internalized the MemBrite signal allowing for the visualization of internal vesicles. Also, in other studies not in the preprint, we perfused purified mitochondrial preparations onto 231 cells. The 231 cells took up the mitochondria from the environment, and all of these engulfed mitochondria were surrounded by a MemBrite positive membrane! These results further suggest that if the transferred mitochondria were encapsulated by a membrane, we would be able to visualize it.

      _-‘macrophage mitochondria are depolarized but remain in the recipient cancer cell’ -_Did the authors examine the extent of cancer cell death in their co-culture system (due to the activation of apoptosis by the depolarized mitochondria)?

      🡪We do not find any evidence of abnormal levels of cell death by both flow cytometry assays as well through our QPI image analysis.

      -Figure 2C–D - Like in Fig 2B, in the bottom left of panel of Fig 2C there are a lot of donor mitochondria not in highly oxidized state and the growth/proliferation phenotypes apply mostly to donor mitochondria that appear 'clumpy'.

      -Perhaps it is worth commenting on whether there is a link between donor mitochondrial morphology and the suspected proliferation-enhancing phenotype.

      🡪The images in Fig. 2C are of the same cell – a single recipient cancer cell which is expressing the Grx biosensor. The donor mitochondria are labeled with an arrowhead, the rest of the yellow/green signal (bottom right) is from the endogenous host network and therefore we do not expect it to be in a highly oxidized state (ie. more yellow than green).

      Regarding the mito morphology and proliferation – great question, and one that we are actively working on!

      -‘At 24 hours, we observed a similar trend, but no statistically significant difference (Fig. S4D). These results indicate ROS accumulates at the site of transferred mitochondria in recipient cancer cells’ - if a specific sensor fails to show a significant oxidation at 24 hours compared mito-Grx1-roGFP2 which reports on mitochondrial glutathione redox state, does that mean there are ROS independent ways to oxidize Glutathione? The authors did see cell growth phenotype both in 24 and 48 hours which suggests that something is happening in 24 hours despite no significant difference in ROS H2O2 sensor.

      🡪The additional biosensor that we used – mito-Orp1-roGFP2 - has been engineered to be a readout of one type of ROS – H2O2. The Grx probe is a surrogate for ROS of any type, of which there are many! To us, it is not completely unexpected that they would behave differently over time since they are readout for two separate things, and it generates an interesting possibility that different types of ROS accumulate over time. Given that the Grx probe shows an increase at 24 hours, which is when we observe the proliferation phenotype, we think we are on the right track. If you have ideas on robust ways to directly observe specific types of ROS, we would love to know!

      -The differences in ratio for the two sensors used are not very convincing. In Fig 2D and Fig S4B and D the “host” and “transfer” populations are very similar. The difference seems only due to the presence of a few outliers in the “transfer” populations. More importantly, sometimes it seems that these outliers come mostly from one donor rather than being present in all 3 donors. It could be good to show histograms of the two populations for each replicate/donor and maybe redo the stats excluding these outliers.

      🡪We think that the heterogeneity that is observed is due to the biology in the system – we are using primary macrophages derived from blood donors. However, for the data represented in Fig 2D, just as a test case, we took out the top four “outliers” in that data set and re-ran the Wilcoxon matched-pairs signed rank test and the p-value was 0.0010 (***), further suggesting that the ROS biosensors are revealing consistent and robust results.

      -Figure S5C - it seems like the percentage of cells that divided is the same for unstimulated cells and cells with stimulated mito-KillerRed. Isn't this contrary to the expectation? The figure shows that photobleaching cytoplasm decreased % cell division, which is puzzling.

      🡪The mean percent of cells that divided in unstimulated and mito bleach are very similar and was not significantly different. One point to be made that may not be well illustrated in our graphical representation is that if you look at the matched data (points connected are averaged per FOV for each condition in the same experiment) the trend shows that the mito bleach does seem to have an increase in cell division which is washed out with the average bar overlay. We should note that this experiment is very “noisy” and therefore we needed a lot of N to be able to detect significant changes. We are currently thinking about other ways to demonstrate sufficiency as it relates to cell proliferation – any experimental suggestions would be very welcome! Thanks for the feedback.

      -Figure 3A - In the 'cyto' condition 6 out of 13 fields have no cells that divide. Is that expected? What is the percentage of dividing cells for cells that were not illuminated at all (a control that is lacking)? There is large variation, ranging from 0% to 22%. The evidence that illumination of KillerRed leads to increased proliferation is rather weak. Also, since Cyto and Mito are different cells, is a "paired" statistical test the right kind of test to use here?

      🡪Additional data pertaining to Fig. 3A can be found in Fig. S5C, which includes the control for cells not illuminated at all. Having no cells that divide in a field of view is not surprising to us – the doubling time for these cells is ~35 hours, and we imaged for 18 hours. Also, for each field of view, our ‘n’ for each field of view was often 6-8 cells because we performed these experiments at 63X to allow for accurately drawn regions of interest for photoactivation. We also internally controlled every experiment (each experiment consisted of fields of view that had either mito activation, cyto activation, or no-activation controls, all of which were imaged overnight with multiple x/y positions). Cells that left the field of view over the 18 hours of imaging could not be quantified. It’s this sampling that caused the large variation in the graph. But again, as with many of our experiments, despite this variability, we still observe a significant difference in our experimental conditions over control cyto bleach. As for the statistical test, our understanding is that given each experiment is internally controlled, and we compare within each experiment, a paired statistical test is appropriate here. We will consult with our biostatistician to confirm, though.

      -‘ROS induces several downstream signaling pathways’ - We would not expect the authors to investigate every signaling pathway, but wonder if the PI3K pathway was explored? It seems to be the other major cancer/proliferative pathway induced by ROS.

      🡪Yes, this is a very good point! We actually assessed three different pathways at first – ERK, PI3K-AKT, and NLRP3/inflammasome. While analyzing these 3 pathways simultaneously, we discovered that ERK inhibitors resulted in decreased proliferation in cancer cells with macrophage mitochondria. As a result, we then focused on the ERK pathway. We still do not know if PI3K-AKT or NLRP3/inflammasome pathways play a role in this biology because we have not gone back and revisited these experiments yet, however in figure 3F, ERKi treated recipient cells exhibit a partial ‘rescue’ of baseline proliferation. This suggests that other pathways may indeed be involved and we plan to investigate this possibility.

      -‘Recipient 231 cells had significantly higher cytoplasmic to nuclear (C/N) ERK-KTR ratios compared to cells that did not receive transfer’-Since two different quantification styles with opposite fraction values were used, is it possible to please specify which one was used here.

      🡪Will do!

      -Figure 3B - Please show the outlines of the nuclei and that of the cell.

      🡪That would be helpful, wouldn’t it? Will do!

      -Figure 3D - it is peculiar that ERK-KTR in Fig 3D is so strongly cytosolic while in Fig 3B it is almost exclusively nuclear. If this sensor behaves differently in different situations, the authors may want to comment on how that would affect their conclusions.

      🡪The panels in Fig. 3B were taken with the ImageStream flow cytometer which takes a lower resolution image of a single plane of a cell in suspension in the flow stream. In Fig. 3D, those images are from confocal spinning disk microscopy which allows for higher resolution, z-stack images of adherent cells on glass. Therefore, we think the differences that you point out are likely due to the fact that the two images come from very different imaging systems.

      -Figure 3E - The effect of 'opto-induced' ERK activity is weak. The initial ERK-KTR is 1 at time point zero (as the data is normalized to this timepoint) and around 1 for both the cyto and mito condition. A statistical difference is observed, but the effect is minor and it is unclear whether it is biologically meaningful. The 'cyto' condition shows an average below 1 and the mito condition remains 1, suggesting that ERK activity remains constant when ROS are produced in the mitochondria.

      -Also from S8C and 3E it appears cyto actually shows a decrease rather than mito showing an increase, could the authors comment on this?

      🡪We have a few thoughts on this. The first is that we don’t expect a dramatic change in ERK signaling because the ROS accumulation is localized to a small region in the recipient cell. This is not a situation where we would expect a large-scale change because we are adding a growth factor. We can understand that the change in ERK activity may appear to be minor, but our data suggest that these subtle changes in kinase signaling translate into significant changes in downstream behavior – proliferation. The way that we interpret differences as “biological meaningful” is whether they exhibit a functional response, and in our study, we show that inhibiting the induction of ERK activity in cancer cells with macrophage mitos inhibits proliferation. What is most interesting to us is that cancer cells that do not have macrophage mitochondria have an unchanged fraction of cells in G2/M phase of the cell cycle in response to the concentration of ERK inhibitor we used, suggesting that the ERK inhibition specifically blocks macrophage mitochondria-induced proliferation.

      In Fig. S8C, bleaching a region of cytoplasm does seem to cause a decrease in ERK activity over time. We really can’t explain this result. However, we do think that ERK activity is higher in mito-bleached cells because mt-ROS is generating an increase in ERK activity which compensates for the decrease in activity that occurs when the cytoplasmic region of interest is photobleached. It’s still a head scratcher, though, but we did perform internal controls for every experiment (as we describe above), and the mito-bleach, cyto-bleach, and no-bleach conditions were run side-by-side such that we can make apples-to-apples comparisons.

      -‘patient-derived xenografts (PDxOs)’ - As a control it would be relevant to include a normal mammary organoid model perhaps from the same patient to demonstrate that the transfer of mitochondria specifically to the cancer cells is more beneficial.

      🡪Using a normal mammary organoid cells as a control to compare efficiency of transfer and downstream phenotypes would be very interesting. Due to the fact that these are patient-derived organoids, we are unable to acquire non-malignant cells from the same patient. Expanding our studies in the MCF10A cell line that we utilized in this paper would be an alternative to what you propose and would also expand our understanding of general biology underlying mitochondrial transfer.

      -‘macrophages to both HCI-037 and HCI-038 PDxO cells (Fig. 4G)’ - Why is M0 able to transfer efficiently to HCL-037 tumour when its mitochondrial network is less fragmented as M2?

      🡪These results really stood out to us. It was quite surprising that in HCI-037, both M0 and M2 macrophages were able to transfer their mitochondria at similar efficiencies, but in HCI-038, M2 macrophages were more efficient at transfer. HCI-037 is a primary tumor, and HCI-038 is a metastases from the same patient, so there are some exciting avenues of study to examine how macrophage mitochondria transfer differs at the primary versus metastatic site. There is still very little known about how donor cell dynamics influence mitochondrial transfer!

      -Are mito transfer from M0 depolarised and accumulate ROS or show increased ERK activity or increased cell proliferation?

      🡪Yes – all studies, except studies pertinent to fig 4 (where we assessed macrophage differentiation states), were done with M0 macrophages.

      -‘M2-like macrophages preferentially transferred mitochondria to the bone metastasis PDxO cells (HCI-038) when compared to primary breast tumor PDxO cells (HCI-037)’ -The authors may want to check this statement here as it is in consistent with their data plot. In Fig. 4G, M2/PDxO transfer percentages for HCI-037 and HCI-038 are about the same, unless the authors provide statistical tests to prove otherwise. Instead, M0 appears to transfer mitochondria to HCI-037 much more efficiently than it does HCI-038.

      🡪Upon re-reading our sentence again, we now realize that it’s actually quite poorly written, so we can understand the confusion! What we meant to articulate is that M2-like macrophages are better at transferring mitochondria to HCI-038 than M0 macrophages. Whereas in HCI-037, we do not observe the same preferential transfer (ie. M0 and M2 can transfer at the same efficiency). We will certainly clarify this language in the manuscript.

      -‘M2-like macrophages exhibit mitochondrial fragmentation’ - Is there a correlation between the status of the mitochondrial network in the donor and the % of transfer to the recipient? If so, this would be a correlation that would support the conclusions.

      🡪Yes, please see Fig. 4C for transfer rates with different donor subtypes and Fig. 4H for a general working model on how we think these data fit into the larger picture.

      -‘accumulate ROS, leading to increased ERK activity’ - Did the authors obtain similar results with the PDXOs? It would be an interesting observation if the primary samples also exhibit a mechanism similar to established cell lines wherein there are more accumulated genetic changes.

      🡪Our main limitation with PDxOs is overcoming the technical hurdles related to our downstream assays. These include introducing relevant reporters and generating stable lines in the PDxOs, and imaging at high-resolution when the PDxOs are cultured in 3D. However, we are very interested in this question as well, and are actively thinking about ways to overcome these hurdles.

      -It would also be interesting to examine whether there is any difference in the ROS-ERK mechanism for primary and metastatic tumour.

      🡪We agree and this is an active avenue of investigation for us. We agree and are currently pursing models to understand how our findings fit into the larger picture of tumorigenesis and metastatic potential. We had spent months pursuing anin vivo approach using a murine Cre/LoxP system to genetically label mouse macrophage mitochondria with GFP. We crossed mice which express Cre under a monocyte-specific promoter (Jax, SN: 004781) and mice with germline expression of Lox-Stop-Lox-3xHA-EGFP-OMP25 (Jax, SN: 032290) with the expectation of seeing Cre-based excision of the stop cassette – thus resulting in offspring with macrophages expressing mitochondrial-localized GFP. However, the macrophages of the resulting offspring do not express GFP (by flow cytometry, imaging, and western blot analysis), despite the PCR-verified presence of both transgenes and the excision of the stop cassette. Needless to say, this was quite frustrating! We are currently in the process of developing a newly available MitoTag model which has been optimized for visualization purposes (Jax, SN: 032675). If you have any suggestions or advice on this matter we would much appreciate your thoughts!

      -‘in cancer cells that receive exogenous mitochondria’ - Since these macrophages also transfer mitochondria to non-malignant cells, such as MCF10A cells shown in Fig S1B, perhaps the authors could comment on whether this is part of a physiological process that would also promote normal cell growth?

      🡪 There are so many questions regarding when and why macrophages might transfer mitochondria. In general, mitochondrial transfer is observed in stressed cells. Our data suggest that transfer happens to MCF10A cells although at a much lower rate than their malignant counterparts, 231 cells, but we do not know whether similar downstream mechanisms and phenotypes are also occurring in the non-malignant cells. Thanks for your feedback – more to come here!

    1. RRID:AB_307019_307019

      DOI: 10.1016/j.scr.2021.102520

      Resource: (Abcam Cat# ab9110, RRID:AB_307019)

      Curator: @Naa003

      SciCrunch record: RRID:AB_307019

      Curator comments: Rabbit Anti-HA tag Polyclonal Antibody, Unconjugated Abcam Cat# ab9110


      What is this?

    1. Jesus Christ developed in all areas of His life—spiritually (favor with God), socially (favor with man), physically (stature), and intellectually (wisdom)—and so can you!

      headings to tag / organize information under generally. Refining / honing tags with further descriptors would be ideal.

      i.e.: Spiritual / Why i.e.: INTELLECTUAL / MEDICINE / PRACTICE / INTEGUMENTARY

    1. Reviewer #1 (Public Review):

      In the present technical report the authors develop a novel and simple strategy to generate and efficiently isolate cre/lox responsive alleles that in the right orientation are highly mutagenic. These allele offer in principle a powerful tool for the tissue specific analysis of gene function giving the ability to inactivate the gene of interest with high temporal and spatial control. The mutagenic targeting cassette contains a marker reporter for the efficient isolation of putative carriers following the integration in injected zebrafish embryos. The cassette in the mutagenic orientation also potentially labels the disrupted gene with a fluorescent tag, with the intent of following the single cells (and their full lineage) in which gene disruption has occurred. This approach is applied to three test loci comparing for which the same group had generated classical null alleles containing small deletions in the coding region.

    1. SciScore for 10.1101/2021.09.03.458953: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein and peptide production: The S. pombe αCOPI-WD40 domain was synthesized by TOPGENE and cloned in pcDNA3.1(+) with a C-terminal strep-tag for affinity purification.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA3.1(+)</div><div>suggested: RRID:Addgene_129020)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">β’COPI-WD40 (residues 1-304) from Saccharomyces cerevisiae was cloned in pGEX-6P-1 vector and expressed overnight in E. coli pLysS cells at 18°C.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pGEX-6P-1</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Expression was performed in Expi293 mammalian cells using the Thermo Fisher ExpiFectamine expression kit.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Thermo Fisher ExpiFectamine</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Molecular replacement was performed in Phenix using a previously determined αCOPI-WD40 domain structure (PDB ID 4J87) as the search model (McCoy et al., 2007; Rossmann and Blow, 1962).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Phenix</div><div>suggested: (Phenix, RRID:SCR_014224)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Iterative model building and refinement were performed in Phenix.refine (Afonine et al., 2012) and Coot (Emsley and Cowtan, 2004).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Coot</div><div>suggested: (Coot, RRID:SCR_014222)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Figures were generated in PyMol.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PyMol</div><div>suggested: (PyMOL, RRID:SCR_000305)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Analysis of Ramachandran angles: The crystal structures of wild type, Arg57→Ala, and Tyr139→Ala αCOPI-WD40 were analyzed in Molprobity (Williams et al., 2018).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Molprobity</div><div>suggested: (MolProbity, RRID:SCR_014226)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Default parameters were used, with the exception of extra rotamers allowed during packing of modeled side chains, specified by command line parameters: Sequence analysis of dibasic motifs in the human membrane proteome: UNIPROT identifiers of secreted and membrane-bound human proteins, as well as secreted/membrane-bound protein isoforms, were downloaded from the Human Protein Atlas (http://www.proteinatlas.org) (Thul et al., 2017).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>http://www.proteinatlas.org</div><div>suggested: (HPA, RRID:SCR_006710)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.09.03.458829: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Institution Review Board of Tsinghua University (20210040)</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Contamination: Cells were tested routinely and found to be free of mycoplasma contamination.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell culture: HEK293T (American Tissue Culture Collection, ATCC, Manassas, VA, CRL-3216), Vero E6 (Cell Bank of the Chinese Academy of Sciences, Shanghai, China) and A549 (ATCC) cells were maintained in Dulbecco’s modified Eagle medium (DMEM) (Gibco, NY, USA) supplemented with 10% (vol/vol</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>A549</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Surface ACE2 binding with RBD-His assay: HeLa cells were transduced with lentiviruses expressing the ACE2 variants for 48 h.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HeLa</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Production of SARS-CoV-2 pseudotyped virus, determination of viral entry efficiency and analysis of spike protein cleavage: Pseudoviruses were produced in HEK293T cells by co-transfecting the retroviral vector pTG-MLV-Fluc, pTG-MLV-Gag-pol, and pcDNA3.1 expressing SARS-CoV-2 spike gene or VSV-G (pMD2.G (Addgene #12259)) using VigoFect (</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For neutralization experiments, S protein bearing pseudotyped virion particles were pre-incubated for 30 min at 37°C with diluted plasma samples obtained from convalescent COVID-19 patients, before the mixtures were inoculated onto HeLa-ACE2 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HeLa-ACE2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Recombinant ACE2-lg protein expression and purification: ACE2-lg, a recombinant Fc fusion protein of soluble human ACE2 (residues Gln18-Ser740) was expressed in 293F cells and purified using protein A affinity chromatography as described in our previous study28.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293F</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plasmids: The cDNAs encoding the ACE2 orthologs were synthesized by GenScript and cloned into the pLVX-IRES-zsGreen1 vector (Catalog No. 632187, Clontech Laboratories, Inc) with a C-terminal FLAG tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pLVX-IRES-zsGreen1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">(Addgene #12259) and psPAX2 (Addgene #12260) and the transfer vector with VigoFect DNA transfection reagent (Vigorous) into HEK293T cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>psPAX2</div><div>suggested: RRID:Addgene_12260)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Production of SARS-CoV-2 pseudotyped virus, determination of viral entry efficiency and analysis of spike protein cleavage: Pseudoviruses were produced in HEK293T cells by co-transfecting the retroviral vector pTG-MLV-Fluc, pTG-MLV-Gag-pol, and pcDNA3.1 expressing SARS-CoV-2 spike gene or VSV-G (pMD2.G (Addgene #12259)) using VigoFect (</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pTG-MLV-Fluc</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pTG-MLV-Gag-pol</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pcDNA3.1</div><div>suggested: RRID:Addgene_79663)</div></div><div style="margin-bottom:8px"><div>VSV-G</div><div>suggested: RRID:Addgene_138479)</div></div><div style="margin-bottom:8px"><div>pMD2 . G</div><div>suggested: None</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


      Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on pages 25, 26 and 27. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.09.01.458653: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Anti-FLAG epitope (DYKDDDDK, catalog# 637301) and horseradish peroxidase (HRP) Donkey anti-human IgG antibody (catalog #410902) were purchased from Biolegend (San Diego, CA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-FLAG epitope (DYKDDDDK, catalog# 637301)</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Anti-FLAG epitope (DYKDDDDK</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-human IgG</div><div>suggested: (BioLegend Cat# 410902, RRID:AB_2686937)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The secondary antibody anti-rat IgG HRP (catalog# 7077) was bought from Cell Signaling Technology (CST, Danvers, MA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>The secondary antibody anti-rat IgG HRP</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-rat IgG</div><div>suggested: (Cell Signaling Technology Cat# 7077, RRID:AB_10694715)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell lines: HEK293T cells expressing human angiotensin I-converting enzyme 2 (HEK293T-hACE2) were kindly provided by Dr. Jesse Bloom (Fred Hutchinson Cancer Research Center, Seattle, USA) (51).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Lenti-X 293T cell line was purchased from Takara Bio USA Inc. (San Jose, CA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T</div><div>suggested: CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After 1 hr incubation, the cellulose paper treated pseudovirus was gently transferred to transfect HEK293T-hACE2 cells with 80% confluency, followed by adding polybrene to a final concentration of 8 μg/ml.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T-hACE2</div><div>suggested: RRID:CVCL_A7UK)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plasmids construction, protein expression and purification: Ty1 variants, including Ty1-CBD and control protein Ty1 without CBD module, were cloned into pSH200 vector (a generous gift from Prof. Xiling Shen at Duke University) containing 6 x Histidine tag (His-tag), between BamHI and XbaI sites.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pSH200</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Detergent compatible (DC) protein assay kit was bought from Bio-Rad Laboratories (Hercules, CA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Bio-Rad Laboratories</div><div>suggested: (Bio-Rad Laboratories, RRID:SCR_008426)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After the final wash, the cells were resuspended in 200 μL FACS buffer (5% FBS, 2mM EDTA, 0.1% sodium azide in PBS) for flow cytometric analysis in Attune™ NxT Flow Cytometer (Thermofisher) and data were analyzed by FlowJo (Franklin Lakes, NJ).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: Statistical significance was evaluated using one-way ANOVA followed by Tukey post hoc test using GraphPad PRISM (San Diego, CA, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad PRISM</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      Despite the promises demonstrated in this study, one limitation is that only pseudovirus-containing culture media were used to characterize the fusion proteins for proof-of-concept. Therefore, it is necessary to further evaluate our approach in real specimens such as blood from COVID-19 patients in the near future.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


      Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on page 32. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


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      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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    1. I don't know which language tag to use as the text is not written in latin letters.

    1. To quote yourself, you’ll need to create an <a> anchor tag in the markdown file for the post you want to quote. If you wish to highlight a specific piece of text, instead create a <span></span> around the section you want to quote. Note that this can only be on your own website—it doesn’t work cross domain.

      Boy, we of the Markdown persuasion sure do have some catching up to do with the outliners where this kind of thing is concerned...

    1. target="_blank" which opens the anchor in a new window(which has been redirected to tabs by browser settings usually)

      new window => new tab

    2. Instead if this anchor was nested in frames it would open in a sandbox mode of sorts, meaning only in that frame.
    1. SciScore for 10.1101/2021.08.28.458041: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protease-Glo luciferase assay was carried out as follows: 293T cells in 10 cm culture dish were transfected with pGlosensor-30F Mpro plasmid in the presence of transfection reagent TransIT-293 (Mirus catalog no. MIR 2700) according to the manufacturer’s protocol.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Calu-3 cells (ATCC, HTB-55) were plated in 384 well plates and grown in Minimal Eagles Medium supplemented with 1% non-essential amino acids, 1% penicillin/streptomycin, and 10% FBS.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Calu-3</div><div>suggested: ATCC Cat# HTB-55, RRID:CVCL_0609)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein Expression and Purification: The tag-free SARS CoV-2 Mpro protein with native N- and C-termini was expressed in pSUMO construct as described previously3.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pSUMO</div><div>suggested: RRID:Addgene_170732)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">50 ng of FlipGFP-Mpro plasmid and 50 ng SARS CoV-2 Mpro expression plasmid pcDNA3.1 SARSCoV-2 Mpro were transfected into each well with transfection reagent TransIT-293 (Mirus catalog no. MIR 2700) according to the manufacturer’s protocol.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlipGFP-Mpro</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pcDNA3.1 SARSCoV-2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protease-Glo luciferase assay: pGlosensor-30F DEVD vector was obtained from Promega (Catlog no. CS182101).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pGlosensor-30F DEVD</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protease-Glo luciferase assay was carried out as follows: 293T cells in 10 cm culture dish were transfected with pGlosensor-30F Mpro plasmid in the presence of transfection reagent TransIT-293 (Mirus catalog no. MIR 2700) according to the manufacturer’s protocol.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pGlosensor-30F Mpro</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Two days after transfection, images were taken with Cytation 5 imaging reader (Biotek) using GFP and mCherry channels via 10× objective lens and were analyzed with Gen5 3.10 software (</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Gen5</div><div>suggested: (Gen5, RRID:SCR_017317)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">A non-linear regression curve fit analysis (GraphPad Prism 8) of POC Infection and cell viability versus the log10 transformed concentration values to calculate EC50 values for Infection and CC50 values for cell viability.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Author Response:

      Reviewer #3:

      The authors modified a previously reported hybrid cytochrome bcc-aa3 supercomplex, consisting of bcc from M. tuberculosis and aa3 from M. smegmatis, (Kim et al 2015) by appending an affinity tag facilitating purification. The cryo-EM experiments are based on the authors' earlier work (Gong et al. 2018) on the structure of the bcc-aa3 supercomplex from M. smegmatis. The authors then determine the structure of the bcc part alone and in complex with Q203 and TB47.

      The manuscript is well written and the obtained results are presented in a concise, clear-cut manner. In general, the data support the conclusions drawn.

      We thank the reviewer for this evaluation.

      To this reviewer, the following points are unclear:

      1. The purified enzyme elutes from the gel filtration column as one peak, but there seems to be no information given on the subunit composition and the enzymatic activity of the purified hybrid cytochrome bcc-aa3 supercomplex.

      See answers to Question 1 from the major Essential Revisions and Question 1 from the minor Essential Revisions.

      "We have now shown that the purified chimeric supercomplex is a functional assembly with a (mean ± s.d., n = 4), in agreement with the previous study that shows M. tuberculosis CIII can functionally complement native M. smegmatis CIII and maintain the growth of M. smegmatis (Kim et al., 2015). The in vitro inhibitions of this enzyme by Q203 and TB47 was determined by means of an DMNQH2/oxygen oxidoreductase activity assay. In the assay, 500 nM Q203 or TB47 was chosen, which is close to the median inhibitory concentration (IC50) obtained from the menadiol-induced oxygen consumption in our previous study (Gong et al., 2018). After addition of Q203 and TB47, the values of turnover number of the hybrid supercomplex are reduced to 5.8 +/- 2.4 e-s-1 (Figure 4-figure supplement 4) and 5.1 +/- 2.9 e-s-1 (Figure 5-figure supplement 4) respectively, from 23.3 +/- 2.4 e-s-1. We have incorporated this new data into the text (lines 90-93, 187-189, 206-209)."

      "The subunit composition of the purified enzyme has now been provided in Figure 2-figure supplement 1."

      1. It is unclear what is the conclusion of the structure comparison (Fig 6) is regarding the affinity of Q203 for M. smegmatis.

      The structural comparison indicates that Q203 should have a similar binding mechanism and a similar effect on the activity of cytochrome bcc from M. smegmatis and M. tuberculosis. This is in good agreement with previous antimycobacterial activity data and inhibition data for the bcc complexes from M. smegmatis and M. tuberculosis (Gong et al., 2018; Lu et al., 2018a). These have now been incorporated into the revised manuscript (line 223-227).

  2. Aug 2021
    1. SciScore for 10.1101/2021.08.27.457964: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The N protein sequence (GenBank QIG56001.1) was amplified from cDNA samples using primers SC2-protN28182-F (5’-AGTCTTGTAGTGCGTTGTTCG-3’) and SC2-protN29566-R (5’-ATAGCCCATCTGCCTTGTGT-3’) and cloned into pGEM-T Easy (PROMEGA - USA), generating plasmid pGEM-SC2-N.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pGEM-T Easy</div><div>suggested: RRID:Addgene_80557)</div></div><div style="margin-bottom:8px"><div>pGEM-SC2-N</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The N sequence was reamplified from pGEM-SC2N with forward 5’-AACAAGCTAGCATGTCTGATAATGGACCCCAAAATCAG-3’ and reverse 5’-GGTCTGCGGCCGCTTAGGCCTGAGTTGAGTCAGCACTGCT-3’ primers and subcloned into the NheI/NotI sites of a pET28a-TEV vector carrying a 6xHis-tag and TEV protease cleavage site at the N-terminus.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pGEM-SC2N</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pET28a-TEV</div><div>suggested: RRID:Addgene_168267)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Then, the initial 3D map was refined in Imagic using an iterative process of angular reconstitution and class average rotation and translation alignment to 3D reprojections, achieving 3D resolution convergence.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Imagic</div><div>suggested: (IMAGIC, RRID:SCR_014447)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">CG molecular dynamics simulations: CG molecular dynamics simulations were performed using CafeMol 3.1 software52.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CafeMol</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">An initial N protein dimer all-atom model was built in YASARA software53 using crystallographic structures of NTD monomer (PDB ID: 6VYO) and CTD dimer (PDB ID: 6WJI).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>YASARA</div><div>suggested: (YASARA, RRID:SCR_017591)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Tools for comparing CG simulations with experimental data: For comparing CG simulation radius of gyration with experimental data, we estimated the radius of gyration of the simulated systems with Bio3D package using an in-house R script54.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Bio3D</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The area of 2D reprojections was determined using ImageJ software56. 3D Atomic model fitting: From the previous independent simulation of the CG model of N protein dimer in complex with a 60-nt-long RNA were selected 100 structures with the lowest radius of gyration using only the structures domains (NTDs and CTDs).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ImageJ</div><div>suggested: (ImageJ, RRID:SCR_003070)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The molecular interactions were described by CHARMM36 force field with CMAP corrections60.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CMAP</div><div>suggested: (CMAP, RRID:SCR_009034)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All simulations were performed with NAMD 2.1361.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>NAMD</div><div>suggested: (NAMD, RRID:SCR_014894)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All the systems were described using Amber ff14SB force field68 and the topologies were generated using tLeap program from AmberTool2069.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Amber</div><div>suggested: (AMBER, RRID:SCR_016151)</div></div><div style="margin-bottom:8px"><div>tLeap</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The images of the C-terminal tail monomers and dimers were generated using pymol 2.3.0 (open-source build).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pymol</div><div>suggested: (PyMOL, RRID:SCR_000305)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on page 38. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Student Number

      Numerical identification unique to each student for purposes for/relating to services, processes, concepts in specific or multiple collegial institutions

      I.E. Personal Identification Tag

    1. Annotations can be searched by tags, so you can add as many tags as you want to relate it to other annotations with the same tags.

      This would allow us to add a tag to our annotation which is related to what we are annotating, in order to make it easier to find annotations by specifics.

    1. SciScore for 10.1101/2021.08.25.457644: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Euthanasia Agents: On day 4 post challenge half of the animals per group were euthanized by exsanguination under isoflurane anesthesia and necropsy was performed, with the remaining half of the animals following on day 7 post challenge.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Vaccinations: BALB/c mice (OlaHSD; Envigo, female, 8-9 weeks old at day 0) were immunized on day 0 and 21 via the intranasal or intramuscular route.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">On day 0, 21 and 35, blood was collected for assessment of induction antibodies against spike and SARS-CoV-2 specific neutralizing antibodies.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2 specific neutralizing antibodies .</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">On day 35 nasal washes and the lungs were also collected for IgA antibody determination.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgA</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After washing another three times the HRP conjugated antibody (Goat-anti-mouse HRP IgG 1:8000, IgG1 1:4000</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HRP IgG</div><div>suggested: (Bioss Cat# bs-4000R-HRP, RRID:AB_11081943)</div></div><div style="margin-bottom:8px"><div>IgG1</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Next, the virus-antibody mixtures are transferred to plates with Vero E6 cell culture monolayers, followed by an incubation period of 5-6 days at 37°C.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Vaccinations: BALB/c mice (OlaHSD; Envigo, female, 8-9 weeks old at day 0) were immunized on day 0 and 21 via the intranasal or intramuscular route.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BALB/c</div><div>suggested: None</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      A significant limitation for the use of viral vector-based vaccines is the development of anti-vector immunity, which restricts the number of possible booster vaccinations. With OMV based vaccines we assume this is less of an issue, as they are non-replicating and do not depend on a specific host receptor for cellular entry. In addition, major antigens can be removed by gene deletion, as we did with the immunodominant PorA outer membrane protein in our vaccine strain, thus limiting the response against neisserial antigens. OMV-spike vaccination might thus also find an application as a heterologous boost after primary vaccination with viral vector-based vaccines. Overall, here we show that OMV-mC-Spike is safe and effective in both mice and hamsters. In these animal models, intranasal vaccination with OMV-mC-Spike is superior to intramuscular vaccination, since the amount of IgG induced is higher and in addition a strong mucosal response is induced. Our study demonstrates how adding an mCRAMP tag to the Spike protein and combining it with meningococcal OMVs improves its immunogenicity, thus warranting further development of this vaccine concept towards clinical trials in humans.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.25.457627: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: Animal care and ethics statement: All animal experiments were conducted in animal biosafety level 3 (BSL3) facilities at the Biosecurity Research Institute at Kansas State University according to protocols approved by the Institutional Animal Care and Use Committee at Kansas State University and the guidelines set by the Association for the Assessment and Accreditation of Laboratory Animal Care and the U.S. Department of Agriculture.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Anti-SARS-CoV-2 antibodies from humans, cats, and rabbits: Convalescent sera (Lotus 11 and 25) from COVID-19 patients were obtained from Dr. Thomas Rogers from the Scripps Research Institute, San Diego, CA, USA. Cat sera (Cat 247 and 903) were collected from cats enrolled in SARS-CoV-2 re-infection studies [89]</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Expression of each species’ ACE2 receptor in the cells was confirmed by Western Blot analysis using antibody to human ACE2 (Abcam, Waltham, MA)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>human ACE2</div><div>suggested: (Abcam Cat# 3149-1, RRID:AB_2242331)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cells and plasmids: Human embryonic kidney 293 (HEK293), the Crandell-Rees feline kidney (CRFK) and Calu-3 cells were purchased from American Type Culture Collection (ATCC; Manassas, VA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Calu-3</div><div>suggested: BCRJ Cat# 0264, RRID:CVCL_0609)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Vero E6 cells expressing human TMPRSS2 (Vero-TMPRSS2) cells were obtained from Creative Biogene (Shirley, NY)[88].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: RRID:CVCL_XD71)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Generation of SARS-CoV-2 S pseudotyped viruses: The 2nd generation lentiviral packaging plasmid, psPAX2 (Addgene), a reporter plasmid pUCGFP-Luc (Addgene), and parental or mutant pAbVec-SARS2-S were transfected into HEK293 cells to produce pseudotyped viruses.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293</div><div>suggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The SA/KRISP-K005325/2020 stock was subsequently passaged on Calu3 cells and NGS results showed this stock to contain only 13% of the furin site mutation; this stock was used for the in vitro virus replication kinetic experiments.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Calu3</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Inoculum (defined as 0 hpi) and the time point collected supernatants were then titrated on Vero-TMPRSS2 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero-TMPRSS2</div><div>suggested: JCRB Cat# JCRB1818, RRID:CVCL_YQ48)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Nasal wash and lung homogenates were filtered through a 0.2 μm filter prior to virus titration on Vero E6-TMPRSS2 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6-TMPRSS2</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The codon-optimized cDNAs of the open reading frame of the human or animal ACE2 gene with FLAG tag were synthesized by Integrated DNA Technologies (Coralville, IA) and cloned into pIRES-Neo3 (Takara Bio, Mountain View, CA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pIRES-Neo3</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Pseudotyped viruses expressing SARS-CoV-2 S protein were generated by synthesizing the S gene which was truncated by 26 amino acids at the C-terminus, fused with HA tag by Integrated DNA Technologies, and cloned into plasmid pAbVec1 (Addgene, Watertown, MA), which were designated as pAbVec-SARS2-S.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pAbVec1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Generation of CRFK cells stably expressing human or animal ACE2: CRFK cells, plated the previous day, were transfected with pIRES-Neo-human (or cat, dog, cattle, horse, camel, hamster, rabbit, mink, white-tailed deer) ACE2-FLAG.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pIRES-Neo-human</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Generation of SARS-CoV-2 S pseudotyped viruses: The 2nd generation lentiviral packaging plasmid, psPAX2 (Addgene), a reporter plasmid pUCGFP-Luc (Addgene), and parental or mutant pAbVec-SARS2-S were transfected into HEK293 cells to produce pseudotyped viruses.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>psPAX2</div><div>suggested: RRID:Addgene_12260)</div></div><div style="margin-bottom:8px"><div>pUCGFP-Luc</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pAbVec-SARS2-S</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The SA/KRISP-K005325/2020 stock was subsequently passaged on Calu3 cells and NGS results showed this stock to contain only 13% of the furin site mutation; this stock was used for the in vitro virus replication kinetic experiments.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>NGS</div><div>suggested: (PM4NGS, RRID:SCR_019164)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Structures were analyzed and images created using PyMOL [92].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PyMOL</div><div>suggested: (PyMOL, RRID:SCR_000305)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: Statistical analysis was performed using GraphPad Prism Software version 6 (San Diego, CA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.25.457692: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The bound antibody was detected by AP conjugated goat- anti- human IgG Fc specific antibody.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti- human IgG</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 RBD plasmid cloning and protein expression: SARS-CoV-2 wildtype RBD (319-541aa) was cloned to pCDNA3.1 vector with 6 histidine tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2 RBD</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pCDNA3.1</div><div>suggested: RRID:Addgene_79663)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Delta variant (L452R_T478K) and Lambda variant (L452Q_F490S) structures were prepared by Coot software 26.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Coot</div><div>suggested: (Coot, RRID:SCR_014222)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All protein structural figures are prepared by PyMOL.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PyMOL</div><div>suggested: (PyMOL, RRID:SCR_000305)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.25.457693: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: The protocols were approved by the Institutional Animal Care and Use Committee at the Washington University School of Medicine (assurance number A3381–01).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Mouse experiments: Female 129S2 (catalog 287) and K18-hACE2 C57BL/6 (catalog 034860) mice were purchased from the Charles River and The Jackson Laboratory, respectively.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Contamination: All cells routinely tested negative for mycoplasma using a PCR-based assay.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plates were washed and sequentially incubated with an oligoclonal pool of SARS2-2, SARS2-11, SARS2-16, SARS2-31, SARS2-38, SARS2-57, and SARS2-71 (Liu et al., 2021c) anti-S antibodies and HRP-conjugated goat anti-mouse IgG (Sigma, 12-349) in PBS supplemented with 0.1% saponin and 0.1% bovine serum albumin.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS2-57</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>SARS2-71</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-S</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-mouse IgG</div><div>suggested: (Millipore Cat# 12-349, RRID:AB_390192)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Following blocking with FcγR antibody (BioLegend, clone 93), cells were stained on ice with CD45 BUV395 (BD BioSciences clone 30-F11), CD4 PE (BD BioSciences clone GK1.5)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CD45</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Vero-TMPRSS2 cells were supplemented with 5 μg/mL of blasticidin.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero-TMPRSS2</div><div>suggested: JCRB Cat# JCRB1818, RRID:CVCL_YQ48)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Vero-hACE2-TMPRSS2 cells were supplemented with 10 µg/mL of puromycin.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero-hACE2-TMPRSS2</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Heterozygous K18-hACE2 C57BL/6J mice (strain: 2B6.Cg-Tg(K18-ACE2)2Prlmn/J) and 129 mice (strain: 129S2/SvPasCrl) were obtained from The Jackson Laboratory and Charles River Laboratories, respectively.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>C57BL/6J</div><div>suggested: RRID:MGI:3589388)</div></div><div style="margin-bottom:8px"><div>129S2/SvPasCrl</div><div>suggested: RRID:IMSR_CRL:287)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Mouse experiments: Female 129S2 (catalog 287) and K18-hACE2 C57BL/6 (catalog 034860) mice were purchased from the Charles River and The Jackson Laboratory, respectively.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>C57BL/6</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Homogenates then were analyzed for cytokines and chemokines by Eve Technologies Corporation (Calgary, AB, Canada) using their Mouse Cytokine Array/Chemokine Array 31-Plex (MD31) platform.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>AB</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, mammalian cell codon-optimized nucleotide sequences coding for the soluble ectodomain of the S protein of SARS-CoV-2 including a C-terminal thrombin cleavage site, T4 foldon trimerization domain, and hexahistidine tag were cloned into mammalian expression vector pCAGGS.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCAGGS</div><div>suggested: RRID:Addgene_18926)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Graphs were generated using Graphpad Prism v9.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Graphpad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, a TaqMan assay was designed to target a highly conserved region of the N gene (Forward primer: ATGCTGCAATCGTGCTACAA; Reverse primer: GACTGCCGCCTCTGCTC; Probe: /56-FAM/TCAAGGAAC/ZEN/AACATTGCCAA/3IABkFQ/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GACTGCCGCCTCTGCTC</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Probe</div><div>suggested: (UniPROBE, RRID:SCR_005803)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Analysis was performed on a BD LSRFortessa X-20 cytometer, using FlowJo X 10.0 software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">QUANTIFICATION AND STATISTICAL ANALYSIS: Statistical significance was assigned when P values were < 0.05 using Prism Version 10 (GraphPad)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      Limitations of study: We note several limitations in our study. (1) The studies in 129S2 mice precluded challenge with B.1.617.2, as it does not infect murine cells because it lacks an N501Y mutation. The generation of recombinant SARS-CoV-2 strains with spike genes encoding B.1.617.2 and an N501Y mutation could overcome this limitation. (2) Female 129S2 and K18-hACE2 mice were used to allow for group caging of the large cohorts required for these multi-arm vaccination studies. Follow-up experiments in male mice are needed to confirm results are not sex-biased. (3) We used lower vaccine dosing as a model for waning immunity. Studies that directly address durability of immune responses and protection are needed for corroboration. (4) We used historical, variant, or mixed mRNA vaccine formulations with homologous boosting schemes. Animals studies that test heterologous boosting (mRNA-1273 prime followed by mRNA-1273.351 boost) (Wu et al., 2021) also are needed to support clinical trials. (5) Our studies focused on immunogenicity and protection in two strains of mice because of the ability to set up large animal cohorts and the tools available for analysis. These results require confirmation in other animal models of SARS-CoV-2 infection including hamsters and non-human primates (Muñoz-Fontela et al., 2020). (6) We did not establish direct immunological correlates of vaccine protection or failure for all vaccine and challenge strain pairs. While some relationships were more pred...

      Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04927065</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Active, not recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">A Study to Evaluate the Immunogenicity and Safety of mRNA-12…</td></tr></table>


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


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      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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    1. SciScore for 10.1101/2021.08.25.21262569: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Field Sample Permit: Serious adverse events (SAEs) and AEs of special interest were collected throughout each study.<br>IRB: All relevant ethical guidelines have been followed, all necessary IRB and/or ethics committee approvals have been obtained, all necessary patient/participant consent has been obtained and the appropriate institutional forms archived.<br>Consent: All relevant ethical guidelines have been followed, all necessary IRB and/or ethics committee approvals have been obtained, all necessary patient/participant consent has been obtained and the appropriate institutional forms archived.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The SARS-CoV-2 antigen was a stabilized pre-fusion spike protein ([2P], Δfurin, T4 foldon, His-tag), derived from the first clinical isolate of the Wuhan strain (Wuhan, 2019, whole genome sequence NC_045512), produced in ES-293 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ES-293</div><div>suggested: None</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04436276</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Active, not recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">A Study of Ad26.COV2.S in Adults (COVID-19)</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04535453</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Active, not recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">A Study to Evaluate a Range of Dose Levels and Vaccination I…</td></tr></table>


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Personal interactions, live product demos and networking are a few reasons why we attend physical events.

      10 slots 30 mins each for each artisan for demonstration, and Q&As

      Have a facilitator/translator to mod the session or demo the products if sent to warehouse

      Live webinar tag - redirecting to zoom

    1. SciScore for 10.1101/2021.08.24.457448: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Field Sample Permit: Data collection and refinement: Diffraction data were collected at 100 K and at a wavelength of 0.9796 Å on the BL18U1 beam line of the Shanghai Synchrotron Research Facility.<br>IRB: This study was approved by the Institution Review Board of Tsinghua University (20210040)</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Eight were male, and 1 was female.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Contamination: Cells were tested routinely and found to be free of mycoplasma contamination.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The blots were exposed to primary antibodies anti-β-Tubulin (CW0098, CWBIO), or anti-FLAG (F7425, Sigma) in 5% nonfat milk in 1× PBS containing 0.1% Tween 20 for 2 h.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-β-Tubulin ( CW0098</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-FLAG</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell culture: HEK293T (American Tissue Culture Collection, ATCC, Manassas, VA, CRL-3216), A549 (ATCC</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>A549</div><div>suggested: NCI-DTP Cat# A549, RRID:CVCL_0023)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">#CCL-185), Vero E6 (Cell Bank of the Chinese Academy of Sciences, Shanghai, China) and HeLa (ATCC #CCL-2) cells were maintained in Dulbecco’s modified Eagle medium (DMEM) (Gibco, NY, USA) supplemented with 10% (vol/vol)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>HeLa</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Production of SARS-CoV-2 pseudotyped virus: Pseudoviruses were produced in HEK293T cells by co-transfecting the retroviral vector pTG-MLV-Fluc, pTG-MLV-Gag-pol, and pcDNA3.1 expressing SARS-CoV-2 spike gene or VSV-G (pMD2.G, Addgene #12259) using VigoFect (</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ACE2-lg, a recombinant Fc fusion protein of soluble human ACE2 (residues Gln18-Ser740), was expressed in 293F cells and purified using protein A affinity chromatography as described in our previous study36.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293F</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Virus-serum mixtures were incubated at 37°C for 30min, then added to A549-hACE2 cells in 96-well plates and incubated at 37°C.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>A549-hACE2</div><div>suggested: RRID:CVCL_A5KB)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plasmids: The cDNAs encoding human or mink ACE2 were synthesized by GenScript and cloned into pLVX-IRES-zsGreen1 vectors (Catalog No. 632187, Clontech Laboratories, Inc) with a C-terminal FLAG tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pLVX-IRES-zsGreen1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">(Addgene #12259) and psPAX2 (Addgene #12260) and the transfer vector with VigoFect DNA transfection reagent (Vigorous) into HEK293T cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>psPAX2</div><div>suggested: RRID:Addgene_12260)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Production of SARS-CoV-2 pseudotyped virus: Pseudoviruses were produced in HEK293T cells by co-transfecting the retroviral vector pTG-MLV-Fluc, pTG-MLV-Gag-pol, and pcDNA3.1 expressing SARS-CoV-2 spike gene or VSV-G (pMD2.G, Addgene #12259) using VigoFect (</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pTG-MLV-Fluc</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pTG-MLV-Gag-pol</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pcDNA3.1</div><div>suggested: RRID:Addgene_79663)</div></div><div style="margin-bottom:8px"><div>VSV-G</div><div>suggested: RRID:Addgene_138479)</div></div><div style="margin-bottom:8px"><div>pMD2 . G</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein crystallization: The gene encoding 333-527aa of SARS-CoV-2 RBD (WT or Y453F mutant) was cloned into the pFastbac-dual vector using the BamH1 and Hind3 restriction enzyme.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pFastbac-dual</div><div>suggested: RRID:Addgene_135584)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The two structures were determined using the molecular replacement method with Molrep in the CCP4 suite37, using the model of the human ACE2 and SARS-CoV-2 complex21.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CCP4</div><div>suggested: (CCP4, RRID:SCR_007255)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Subsequent model building and refinement were performed using COOT and PHENIX, respectively38,39.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>COOT</div><div>suggested: (Coot, RRID:SCR_014222)</div></div><div style="margin-bottom:8px"><div>PHENIX</div><div>suggested: (Phenix, RRID:SCR_014224)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on pages 34 and 30. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.22.457114: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Anti-spike monoclonal antibodies from COVID-19 patients: The variable regions of anti-SARS-CoV-2 spike antibodies from COVID-19 patients were synthesized according to the published sequence (IDT) (Brouwer et al., 2020; Chi et al., 2020; Li et al., 2021; Robbiani et al., 2020; Suryadevara et al., 2021; Zost et al., 2020).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-spike</div><div>suggested: (GeneTex Cat# GTX632604, RRID:AB_2864418)</div></div><div style="margin-bottom:8px"><div>anti-SARS-CoV-2 spike</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">donkey anti-mouse IgG Fc fragment antibody and APC-conjugated anti-human IgG Fc fragment specific antibody (Jackson ImmunoResearch, USA) were used.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-mouse IgG</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-human IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Flow cytometric analysis of antibodies: Plasmids expressing the full-length SARS-CoV-2 spike protein, Flag-NTD-PILR-TM and Flag-RBD-PILR-TM were co-transfected with the GFP vector into HEK293T cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2 spike protein , Flag-NTD-PILR-TM</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ACE2-stably transfected HEK293 cells (HEK293T-ACE2-transfectants) were reported previously (Liu et al., 2021b).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The pcDNA3.4 expression vector containing the sequence that encodes the His-tagged extracellular domain of the spike protein was transfected into Expi293 cells and the His-tagged spike protein produced in the culture supernatants was then purified with a Talon resin (Clontech).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Expi293</div><div>suggested: RRID:CVCL_D615)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">48 hours later, B16F10 cells were washed twice with PBS,and then the cells were collected and frozen and thawed.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>B16F10</div><div>suggested: NCI-DTP Cat# B16F10, RRID:CVCL_0159)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Flow cytometric analysis of antibodies: Plasmids expressing the full-length SARS-CoV-2 spike protein, Flag-NTD-PILR-TM and Flag-RBD-PILR-TM were co-transfected with the GFP vector into HEK293T cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Balb/c female mice (7-weeks-old females) were purchased from SLC.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Balb/c</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For Cryo-EM analysis, the sequence encoding the spike protein’s extracellular domain with a foldon and His-tag at the C-terminus (Cai et al., 2020) was cloned into a pcDNA3.4 expression vector containing the SLAM signal sequence.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA3.4</div><div>suggested: RRID:Addgene_131198)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Transfection: A pME18S expression plasmid containing the full-length or subunit spike protein was transiently transfected into HEK293T cells using PEI max (Polysciences); the pMx-GFP expression plasmid was used as the marker of transfected cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pME18S</div><div>suggested: RRID:Addgene_52384)</div></div><div style="margin-bottom:8px"><div>pMx-GFP</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The cDNA of the variable regions of the heavy chain and light chain were cloned into a pCAGGS vector containing sequences that encode the human IgG1 or kappa constant region.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCAGGS</div><div>suggested: RRID:Addgene_18926)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The primers for mutagenesis were designed on Agilent’s website (https://www.agilent.com/store/primerDesignProgram.jsp).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Agilent’s</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Transfection: A pME18S expression plasmid containing the full-length or subunit spike protein was transiently transfected into HEK293T cells using PEI max (Polysciences); the pMx-GFP expression plasmid was used as the marker of transfected cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Polysciences)</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Antibodies binding to the GFP-positive cells were shown in the figures using FlowJo software (BD bioscience).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The PRNT50 neutralization titers for vaccinated sera were determined using 3-parameter nonlinear regression curve (GraphPad Prism).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For automated data acquisition, SerialEM software was used to collect cryo-EM image data.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SerialEM</div><div>suggested: (SerialEM, RRID:SCR_017293)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Image processing and 3D reconstruction: All of image processes were carried out on cryoSPARC software (Punjani et al., 2017).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>cryoSPARC</div><div>suggested: (cryoSPARC, RRID:SCR_016501)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The corrected model was refined by the phenix.real_space_refine program (Liebschner et al., 2019) with secondary structure and Ramachandran restraints, then the resulting model was manually checked by COOT.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>COOT</div><div>suggested: (Coot, RRID:SCR_014222)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">This iterative process was performed for several rounds to correct remaining errors until the model was in good agreement with geometry, as reflected by the MolProbity score of 2.07 (Williams et al., 2018).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MolProbity</div><div>suggested: (MolProbity, RRID:SCR_014226)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data and statistical analysis: FlowJo version 10.7 (BD Biosciences, USA) was used to analyze the flow cytometry data, and Graphpad Prism version 7.0e was used for graph generation and statistical analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Graphpad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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    1. 2.6. Types of Bonds and the Ketelaar Triangle

      I highlighted the entire title and hopefully this link goes to this specific video (sometimes it just goes to YouTube). I then right clicked at a specific time and pasted the URL into this textbox, and that allows me to share the video at a time I am interested in. https://youtu.be/OB0Ki50WkWk?t=370 I then used the tag of my LibreText page (which must be public) to aggregate it (f21c1403c11) on the chapter summary page. (This feature is only available on the first page of each chapter, which has links to all the topics of the chapter)

    1. Have you ever … In December 2008, I came across this post from someone who was on my blogroll, or in my feeds, or something. They listed 100 things that one might have done in one’s life, and invited one to indicate those that one had actually done. I took the challenge on as a lark and then decided that the same list could prompt individual blog posts, so I started doing that.2 And now I’m resurrecting the meme, and tagging Amanda Rush and ladyhope. I hope they will participate, link to this, and tag two more people.3 Of course, if you are inspired to do it too, then just go ahead.

      There's something here that sounds like the idea of a friendship book, but in online/blog form.

      It's also a bit reminiscent of a social startup in the late 00s called Formspring.me.

      Everything old is new again?

    1. * Now it's correct within the laws of the type system, but makes zero practical sense, * because there exists no runtime representation of the type `Date & string`. * * The type system doesn't care whether a type can be represented in runtime though.

      new tag?: makes zero practical sense

      makes zero practical sense because there exists no runtime representation of the type

    1. My Web presence is only for Educational, Non-commercial and Non-Profit purpose.I try my best to be of a help to the needy and underprivileged students with my limited knowledge and resource.Thank you for stopping by. Warm regards.

      Soumen's work in virtual world design is elegant; complex interactions connecting users and components with (and thru) data..

      Question: Are these tools ready for prime time?

      Note: First use of'resources' tag?

      See you soon, Later

    1. SciScore for 10.1101/2021.08.17.456704: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: Study approval: Mouse care and experimental procedures with mice were performed under pathogen-free conditions in accordance with established institutional guidance and approved Animal Care and Use Protocols (ACUP) from the Research Animal Care Committee at Sorrento Therapeutics Inc.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Mice and cell culture: For intramuscular antigen challenge, C57BL/6 female mice 5-6 weeks old were injected with either 100 μg RBD-C-tag (300 μg adjuvant) or 50 μg RBD-C-tag (150 μg adjuvant) intramuscularly.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Detection of RBD and Spike binding serum IgG antibodies by ELISA: A direct binding ELISA format was used to detect the anti-SARS-COV-2 RBD or Spike IgG antibody in mouse serum samples.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Spike binding serum IgG</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-SARS-COV-2 RBD or Spike IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">donkey anti-mouse IgG conjugated to AlexaFluor 647 (Invitrogen #A-31571) or IL-10 APC antibodies ( eBioscience, # 17-7101-81).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>donkey anti-mouse IgG</div><div>suggested: (Molecular Probes Cat# A-31571, RRID:AB_162542)</div></div><div style="margin-bottom:8px"><div>anti-mouse IgG</div><div>suggested: (Molecular Probes Cat# A-31571, RRID:AB_162542)</div></div><div style="margin-bottom:8px"><div>IL-10 APC</div><div>suggested: (Thermo Fisher Scientific Cat# 17-7101-81, RRID:AB_469501)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Human parental HEK293 cells (ATCC, CRL-1573) were cultured in DMEM supplemented with 10% FBS and antibiotics/antimycotics (Gibco).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Simian VeroE6 cells were plated at 18×103 cells/well in a flat bottom 96-well plate in a volume of 200 μl/well.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>VeroE6</div><div>suggested: JCRB Cat# JCRB1819, RRID:CVCL_YQ49)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Longitudinal near infrared in vivo imaging of lymphatics: IRDye800-RBD-C-tag was injected intramuscularly into the biceps femoris of C57BL/6 mice.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>C57BL/6</div><div>suggested: None</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • No funding statement was detected.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.18.456855: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Authentication: To monitor growth kinetics, the cells were seeded on 96-well plates, treated as indicated and subjected to CellTiter-Glo luminescent cell viability assay (Promega) according to the manufacturer’s instructions.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Primary antibodies used: anti-puromycin antibodies (Millipore Cat#MABE343),</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-puromycin</div><div>suggested: (Millipore Cat# MABE343, RRID:AB_2566826)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">mRNA library preparation for MARS-seq: Total RNA was isolated from HEK293T cells using Bio Tri RNA reagent (Bio-lab) and mRNA was captured using Oligo d(T)25 magnetic Beads (NEB) according to manufacturer’s protocol.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Biological resources: Cultured cell lines: MCF7 and HEK293 cells were from ATCC, MRC5 and Vero E6 cells were generously provided by Zvi Livneh and Yosef Shaul, respectively (WIS, Israel).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MCF7</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>HEK293</div><div>suggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Virus stocks were propagated (four passages) and titered on Vero E6 cells (Vero E6, ATCC® CRL-1586™).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Reagents: DNA constructs: To create HA-tagged NSP1 lacking viral 5’UTR for expression in cell culture (pCRUZ-HA-NSP1), NSP1 was obtained from the Forchheimer plasmid bank (WIS, Israel) and cloned into pCRUZ-HA (sc-5045) plasmid (Santa Cruz Biotechnology) using restriction-free cloning and primers #1,2 (here and on, see Table S1 for primers’ sequences).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCRUZ-HA-NSP1</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pCRUZ-HA</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To create HA-tagged NSP1 with the viral 5’UTR for expression in cell culture (pcDNA3.1-TSS-5’UTR-HA-NSP1), HA-NSP1 was PCR-amplified from the pCRUZ-HA-NSP1 plasmid using primers #5,6 and introduced immediately after the transcription start site of the pcDNA3.1(-) plasmid using restriction-free cloning.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA3.1-TSS-5’UTR-HA-NSP1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">reporter gene bearing Hisx6 tag was amplified using primers #18,19 and cloned between HindIII-KpnI sites of pcDNA5/FRT/TO plasmid.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA5/FRT/TO</div><div>suggested: RRID:Addgene_19445)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The resulting product was used in a PCR to amplify pcDNA3.1(-) plasmid as template.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA3.1 ( - )</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Nsp1 protein purification for in vitro assay: The pET28 plasmid encoding for His-tagged NSP1 was transformed by heat shock into BL-21 E.coli and a single grown colony was inoculated into 5ml of LB supplemented with Kanamycin (50μg/ml) and incubated shaking at 37°C.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pET28</div><div>suggested: RRID:Addgene_21766)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">mRNA library preparation for MARS-seq: Total RNA was isolated from HEK293T cells using Bio Tri RNA reagent (Bio-lab) and mRNA was captured using Oligo d(T)25 magnetic Beads (NEB) according to manufacturer’s protocol.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Oligo</div><div>suggested: (oligo, RRID:SCR_015729)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After treatment with ECL reagent (Azure Biosystems), images were captured using Licor Fc imaging system and the signal intensities were calculated using ImageStudio software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ImageStudio</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Corrected counts were normalized by mouse PolyA+ enriched RNA, which was mapped to mouse genome using STAR (17) not allowing mismatches.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STAR</div><div>suggested: (STAR, RRID:SCR_004463)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.18.456769: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The antibodies used were anti-GFP HRP-DirecT (#598-7, MBL, Nagano, Japan), anti-polyhistidine-tag (#PM032, MBL), and anti-mCherry (#Z2496N, TaKaRa, Shiga, Japan)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-GFP</div><div>suggested: (MBL International Cat# 598-7, RRID:AB_10597267)</div></div><div style="margin-bottom:8px"><div>#598-7 , MBL , Nagano , Japan) , anti-polyhistidine-tag</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-mCherry</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For observation of lysosome localization, mCherry-tagged protein-expressing Neuro2a cells were incubated in a medium containing 0.5 μM Lysotrascker green DND-26 (Thermo Fisher) for 30 min before image acquisition.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Neuro2a</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To construct an expression plasmid, cytoplasmic region- and transmembrane-lacking hACE2 tagged with a monomeric variant of eGFP carrying the A206K mutation (hACE2-eGFP), the fragment encoding hACE2, was inserted into pmeGFP-N1 with NheI and EcoRI.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>hACE2</div><div>suggested: RRID:Addgene_1786)</div></div><div style="margin-bottom:8px"><div>pmeGFP-N1</div><div>suggested: RRID:Addgene_27766)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">A synthetic oligonucleotide for the ER-targeting signal peptide was inserted into pmCherry-N1 (pER-mCherry) with NheI and AgeI.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pmCherry-N1</div><div>suggested: RRID:Addgene_87327)</div></div><div style="margin-bottom:8px"><div>pER-mCherry</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The fragments were inserted into pER-mCherry-N1 with XhoI and BamHI (pER-mCherry-S1 and pER-mCherry-S1-2, respectively).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pER-mCherry-N1</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pER-mCherry-S1-2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The whole sequences of the coding regions of pER-mCherry-S1 and pER-mCherry-S1-2 are presented in Supplemental Figure.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pER-mCherry-S1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plasmids encoding hACE2-eGFP, ER-mCherry-S1, or ER-mCherry-S1-2 (16 μg) and sonicated salmon sperm DNA (14 μg) were transfected into the cells with 240 μL of polyethyleneimine (#43896,</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>hACE2-eGFP</div><div>suggested: None</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.17.456689: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Western blot: Western blot was performed using an anti-SARS-COV-2 S antibody following a protocol described previously (50).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-COV-2 S</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Alkaline phosphatase conjugated anti-Rabbit IgG (1:5000) (Sigma-Aldrich, St. Louis, MO) was used as a secondary antibody.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Rabbit IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To measure binding of a full-length S protein to monoclonal antibodies, the antibody was immobilized to anti-human IgG Fc Capture (AHC) biosensor (ForteBio, Fremont, CA) following a protocol recommended by the manufacturer.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Control sensors with no S protein or antibody were also dipped in the ACE2 or S protein solutions and the running buffer as references.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ACE2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For ACE2615-foldon T27W staining, APC conjugated anti-HIS antibody (Miltenyi Biotec, Auburn, CA) was used as secondary antibody at 1:50 dilution.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-HIS</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, Expi293F cells transfected with monomeric ACE2 or dimeric ACE2 expression construct and the supernatant of the cell culture was collected.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Expi293F</div><div>suggested: RRID:CVCL_D615)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Murine Leukemia Virus (MLV) particles (plasmids of the MLV components kindly provided by Dr. Gary Whittaker at Cornell University and Drs. Catherine Chen and Wei Zheng at National Center for Advancing Translational Sciences, National Institutes of Health), pseudotyped with various SARS-CoV-2 S protein constructs, were generated in HEK 293T cells, following a protocol described previously for SARS-CoV (51, 52).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK 293T</div><div>suggested: CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To prepare for infection, 7.5×103 of HEK 293 cells, stably transfected with a full-length human ACE2 expression construct, in 15 μl culture medium were plated into a 384-well white-clear plate coated with poly-D-Lysine to enhance the cell attachment.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK 293</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Pseudotyped virus particles were produced in 293T/17 cells (ATCC) by co-transfection of plasmids encoding codon-optimized SARS-CoV-2 full-length S constructs, packaging plasmid pCMV DR8.2, and luciferase reporter plasmid pHR’ CMV-Luc.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T/17</div><div>suggested: ATCC Cat# CRL-11268, RRID:CVCL_1926)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The 293T cell line stably overexpressing the human ACE2 cell surface receptor protein was kindly provided by Drs.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T</div><div>suggested: CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The S genes were fused with a C-terminal twin Strep tag (SGGGSAWSHPQFEKGGGSGGGSGGSSAWSHPQFEK) and cloned into a mammalian cell expression vector pCMV-IRES-puro (Codex BioSolutions, Inc, Gaithersburg,</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCMV-IRES-puro</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Pseudotyped virus particles were produced in 293T/17 cells (ATCC) by co-transfection of plasmids encoding codon-optimized SARS-CoV-2 full-length S constructs, packaging plasmid pCMV DR8.2, and luciferase reporter plasmid pHR’ CMV-Luc.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCMV DR8.2, and luciferase reporter</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pHR’</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Expression constructs: Genes of full-length spike (S) protein from Gamma (hCoV-19/Brazil/AM-992/2020; GISAID accession ID: EPI_ISL_833172), Kappa (hCoV-19/India/MH-NEERI-NGP-40449/2021; GISAID accession ID: EPI_ISL_1547802) and Delta (hCoV-19/India/GJ-GBRC619/2021; GISAID accession ID: EPI_ISL_2020954) were synthesized by Twist Bioscience (South San Francisco, CA) or GENEWIZ (South Plainfield, NJ).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GENEWIZ</div><div>suggested: (GENEWIZ, RRID:SCR_003177)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The Kd was obtained by fitting Req value and its corresponding concentration to the model: “one site-specific” using GraphPad Prism 8.0.2 according to H.J. Motulsky, Prism 5 Statistics Guide, 2007, GraphPad Software Inc.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Automated data collection was carried out using SerialEM version 3.8.6 (53) at a nominal magnification of 105,000× and the K3 detector in counting mode (calibrated pixel size, 0.825 Å) at an exposure rate of 20.24 (for Delta), ∼20.69/20.63/27.13 (for three data sets of Gamma), or ∼21.12/20.10 (for two data sets of Kappa) electrons per pixel per second.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SerialEM</div><div>suggested: (SerialEM, RRID:SCR_017293)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Image processing and 3D reconstructions: Drift correction for cryo-EM images was performed using MotionCor2 (54), and contrast transfer function (CTF) was estimated by Gctf (55) using motion-corrected sums without dose-weighting.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MotionCor2</div><div>suggested: (MotionCor2, RRID:SCR_016499)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Density maps were corrected from the modulation transfer function of the K3 detector and sharpened by applying a temperature factor that was estimated using post-processing in RELION.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>RELION</div><div>suggested: (RELION, RRID:SCR_016274)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Several rounds of manual building were performed in Coot (57).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Coot</div><div>suggested: (Coot, RRID:SCR_014222)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      A caveat is that all our experiments were performed in vitro; additional studies with authentic viruses will be needed to confirm our findings in more clinically relevant settings. If our hypothesis is valid, what is the structural basis for the enhanced fusogenicity of the Delta S protein? All mutations but one in the Delta S are located in either the RBD or NTD. Our extensive binding studies indicate that the Delta S does not engage the receptor ACE2 more tightly than does any other variant. It is unclear what other functional roles the NTD may play in the membrane fusion process, besides protecting the nearby RBDs. If the mutations in the NTD enhance RBD exposure to potential receptors, we should have observed, in our cryo-EM study, more particles in the RBD-up conformation from the Delta data set. Thus, the structural changes in both the RBD and NTD are unlikely to explain the efficient membrane fusion by the Delta variant. The last mutation, D950N, is unique to Delta and located in HR1 of S2 near the FPPR. D950N eliminates a negative charge (three in a trimer), but we have not observed any obvious structural changes caused by this substitution in the prefusion conformation. Its location nonetheless appears to be a critical site that can influence the refolding of S2, required for membrane fusion. Although D950 is not involved in a salt bridge in the G614 trimer, it is conceivable that the local change in the electrostatic potential may destabilize the prefusion S2 in a v...

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


      Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on page 35. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Neugeborene und deren Mütter dürfen einmal am Tag durch eine Person für eine Stunde Besuch empfangen. Geschwister des Neugeborenen unter 16 Jahren dürfen die besuchende Person begleiten.

      § 4 (2) Krankenhaus-Covid-19-Verordnung

    2. Patientinnen und Patienten dürfen einmal am Tag durch eine Person für eine Stunde Besuch empfangen.

      § 3 (1) Krankenhaus-Covid-19-Verordnung

    3. Einmal am Tag sollen Patienten demnach von einer Person Besuch bekommen können - für eine Stunde.

      § 3 (1) Krankenhaus-Covid-19-Verordnung

    1. SciScore for 10.1101/2021.08.13.454991: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: In vivo IAV infection model: All mice were housed under specific-pathogen-free conditions at Seattle Children’s Research Institute and all animal experiments performed at Seattle Children’s Research Institute were approved by the Institutional Animal Care and Use Committee (IACUC00580).<br>IRB: The project was submitted to the French Ethics Committee CEEA (Comité d’Ethique en Expérimentation Animale) and obtained the authorization APAFIS#10108-2017060209348158 v3.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">A pilot experiment showed a protective effect of C910 in male animals therefore we used male mice for further experiments (data not shown).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Cells in each condition were randomly selected and analyzed under the same threshold.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Antibodies and reagents: C910 was purchased from Chembridge (ID: 5454910, San Diego, CA, USA) or Synthenova (ID: SN0218L3, Hérouville Saint-Clair, France).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>C910</div><div>suggested: (GenWay Biotech Inc. Cat# GWB-82C910, RRID:AB_10513344)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">, mouse anti-Rac1 (610651 [clone 102]), mouse anti-Rab4 (610888), mouse anti-Lamp1 (611043) was from BD Bioscience; mouse anti-TGN38 (sc-101273), rabbit anti-MEK2 (SC-524) from Santa Cruz; rabbit anti-Calnexin (ADI-SPA-860-D) from Enzo; mouse-anti-LBPA (Z-PLBPA) was from Echelon Biosciences; Paraformaldehyde (PFA) (15710) from Electron Microscopy science.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Calnexin</div><div>suggested: (Enzo Life Sciences Cat# ADI-SPA-860-D, RRID:AB_2038898)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Horseradish peroxidase (HRP)-conjugated goat anti-mouse (P0399) or swine anti-rabbit secondary antibodies (P0447) were from Dako.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-mouse ( P0399</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cells were next labelled with an anti-Rac1 mouse antibody [clone 102] for 1 h and revealed with Alexa Fluor 488-coupled anti-mouse secondary antibody.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-mouse</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">In parallel, cell lysates from intoxicated cells were examined for glucosylated-Rac1 that no longer react to anti-Rac1 monoclonal antibody [clone 102].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Rac1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Signals were revealed using horseradish peroxidase-conjugated goat anti-mouse or swine anti-rabbit secondary antibodies (DAKO) followed by chemiluminescence using Immobilon® Western (Millipore).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-rabbit</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">HeLa, L929, Vero, A549, Vero E6 and U2OS-ACE2 cell lines were cultured at 37°C in 5% CO2 in DMEM/GlutaMax (Invitrogen) supplemented with 10% heat-inactivated FBS (F9665, Sigma-Aldrich) and 1% penicillin/streptomycin (Invitrogen).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>U2OS-ACE2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cytotoxic effects of the LCGTs TcdA and TcdB on Vero cells (Sigma-Aldrich) were evaluated by measure of cell rounding.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero</div><div>suggested: CLS Cat# 605372/p622_VERO, RRID:CVCL_0059)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">IAV infection: For single-cycle IAV infection assays, A549 cells (70,000/ well) were infected with a reporter H1N1 A/WSN/33 (H1N1WSN PB2-2A-mCitrine), at a MOI of 5 PFU/cell for 6 h.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>A549</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For multicycle growth assays, A549 cells were infected with a seasonal A/Bretagne/7608/2009 (H1N1pdm09) strain adapted to human cell lines (50), at the MOI of 10−3 infective particles/cell and the production of infectious particles in the culture supernatant was determined at 24 h using a standard plaque assay on the highly sensitive canine MDCK-SIAT cells, as described previously(72).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MDCK-SIAT</div><div>suggested: ECACC Cat# 05071502, RRID:CVCL_Z936)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Determination of CC50s of C910 on HUVECs and HeLa cells: Cells seeded in Corning™ 96 well Flat Clear Bottom Black Microplates (#3603) were incubated with increasing doses of C910 for 6 h, medium was replaced with fresh medium including 10% of Alamar Blue (final concentration 1:10).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HeLa</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Medisch Centrum Utrecht, Netherland), HUVECs were fixed at room temperature for 2 h in 2.5% glutaraldehyde in PHEM buffer, pH 7.2 (60 mM 1,4 piperazine diethylsulfonic acid (PIPES), 25 mM N-2-hydroxyethylpiperazine</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HUVECs</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Viral challenges were carried out on groups of 9~10 week-old C57BL/6 male mice (Charles River Laboratories).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>C57BL/6</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Experiments were conducted on adult male C57BL/6J mice (23.5 ± 0.3 g) purchased from Janvier Labs (Le Genest St Isle, France).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>C57BL/6J</div><div>suggested: RRID:IMSR_JAX:000664)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell culture and bacterial toxins: Human umbilical vein endothelial cells (HUVECs) (PromoCell, Heidelberg, Germany) were cultured as described (24).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PromoCell</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">HIS-tagged B subunit of Shiga toxin 1(SML0655) and Apilimod (A149227) from Sigma; rabbit anti-EEA1 (#3288), rabbit anti-Rab7 (#9367), rabbit-anti-his tag (#12698) from Cell Signaling; rabbit anti-Rab7 (ab137029), mouse anti-Giantin (ab37266) and Cathepsin B Activity Assay Kit (ab65300) from Abcam; mouse-anti-6x-his (R930-25 [clone 3D5]), DQTM Red BSA (D-112051) from ThermoFisher Scientific; mouse-anti-EEA1 (BD610457), mouse-anti-Rab5 (610724)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ThermoFisher Scientific</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">, mouse anti-Rac1 (610651 [clone 102]), mouse anti-Rab4 (610888), mouse anti-Lamp1 (611043) was from BD Bioscience; mouse anti-TGN38 (sc-101273), rabbit anti-MEK2 (SC-524) from Santa Cruz; rabbit anti-Calnexin (ADI-SPA-860-D) from Enzo; mouse-anti-LBPA (Z-PLBPA) was from Echelon Biosciences; Paraformaldehyde (PFA) (15710) from Electron Microscopy science.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BD Bioscience</div><div>suggested: (BD Biosciences, RRID:SCR_013311)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">8 software (GraphPad, San Diego, CA)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data were analyzed with FlowJo (BD Bioscience).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Fiji ImageJ software (National Institutes of Health) was used for image processing and quantification.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ImageJ</div><div>suggested: (ImageJ, RRID:SCR_003070)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, each individual cell was selected from a single mid-z stack of the confocal image by hand-drawing a “region of interest” (ROI) from Fiji software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Fiji</div><div>suggested: (Fiji, RRID:SCR_002285)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Measures of the size of EEA1-positive vesicles were performed from the single mid-z stack of confocal images that were next quantified with the Analyze particles tool from Fiji Software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Analyze</div><div>suggested: (ANALYZE, RRID:SCR_009120)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data were fitted with Prism v8 software (Graphpad Inc., San Diego, CA) to obtain the concentrations giving 50% toxicity.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Prism</div><div>suggested: (PRISM, RRID:SCR_005375)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


      Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on pages 57 and 50. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.11.455956: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the University of Washington Human Subjects Division Institutional Review Board (STUDY00010350).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After 2 h, infected cells were washed an additional five times with DMEM prior to adding media supplemented with anti-VSV-G antibody (I1-mouse hybridoma supernatant diluted 1:25, from CRL-2700, ATCC) to reduce parental background.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-VSV-G</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">An anti-S2 SARS-CoV-2 S polyclonal primary antibody (1:1,500 dilution,Invitrogen PA5-114534) and an Alexa Fluor 680-conjugated goat anti-rabbit secondary antibody (1:20,000 dilution, Jackson Laboratory 111-625-144) were used for Western-blotting.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-S2 SARS-CoV-2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-rabbit</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">At this stage, excess DMEM was removed from the cells and 40 µL from each well (containing sera and pseudovirus) was transferred to the 96-well plate seeded with HEK-293T cells expressing hACE2 and incubated at 37°C for 2 h.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK-293T</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The SARS-CoV-2 S ectodomain with VFLIP mutations (48), the native furin cleavage site (RRAR), and B.1.617.2 spike mutations (T19R, G142D, E156G, T478K, and D950N substitutions and a deletion of residues 157 and 158) was synthesised by GenScript into pCMV with a C-terminal avi tag followed by an octa-histidine tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCMV</div><div>suggested: RRID:Addgene_20783)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The SARS-CoV-2 S ectodomain with hexapro mutations and P.1 spike mutations (L18F, T20N, P26S, D138Y, R190S, K417T, E484K, N501Y, D614G, H655Y, T1027I, and V1176F) was synthesised by GenScript into pCMVR with foldon, a C-terminal avi tag followed by an octa-histidine tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCMVR</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">2) were obtained from GISAID (using outbreak.info) and plotted using GraphPad PRISM software (version 9.2.0).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad PRISM</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Relative luciferase units were plotted and normalized in Prism (GraphPad): cells alone without pseudovirus was defined as 0 % infection, and cells with virus only (no sera) was defined as 100 % infection.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Prism</div><div>suggested: (PRISM, RRID:SCR_005375)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Prism (GraphPad) nonlinear regression with “[inhibitor] versus normalized response with a variable slope” was used to determine IC50 values from curve fits.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Particles in well-formed 3D classes were then used for local refinement in cryoSPARC.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>cryoSPARC</div><div>suggested: (cryoSPARC, RRID:SCR_016501)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The model was then refined and rebuilt into the map using Coot (89), Rosetta (90, 91), Phenix (92), and ISOLDE (93).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Coot</div><div>suggested: (Coot, RRID:SCR_014222)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Model validation and analysis used MolProbity (94), EMringer (95), Phenix (92) and Privateer (96).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MolProbity</div><div>suggested: (MolProbity, RRID:SCR_014226)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.08.455468: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To test blocking, recombinant human ACE2 (Gln18-Ser740, C-terminal His-tag) from RayBiotech (∼3.8 µM in measurement buffer, # 230-30165-100 distributed by antibodies-online GmbH, # ABIN6952473) was flushed into the flowcell and shortly incubated before the measurement.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ACE2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>His-tag</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>antibodies-online GmbH,</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">, Experimental Procedures, and Data Analysis: SARS-CoV-1 and SARS-CoV-2</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2</div><div>suggested: (BioLegend Cat# 946101, RRID:AB_2892515)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Equilibrium measurements with MT and rupture experiments with an AFM were evaluated with custom MATLAB and Python scripts to deduce force stability and kinetics.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MATLAB</div><div>suggested: (MATLAB, RRID:SCR_001622)</div></div><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.07.455523: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: All animal experiments were approved by the Animal Care and Use Committee of Wuhan University.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Age-matched (9-10-week-old) female mice were grouped for infection of nanobodies (0.5mg/kg).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">After 2–3 rounds of selection-amplification cycle, single colonies were randomly selected into deep 96-well culture plate containing 850 μL/well of 2YT (100 μg/mL ampicillin) and shook at 37°C for 3h.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">RBD-His binding to the plate was detected with anti-His tag mouse monoclonal antibody (1:3000 dilution, SinoBiological, 105327-MM02T) and followed by an HRP conjugated anti-mouse IgG (H+L) Goat antibody (Beyotime, A0216).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-His tag</div><div>suggested: (Sino Biological Cat# 105327-MM02T, RRID:AB_2857924)</div></div><div style="margin-bottom:8px"><div>anti-mouse IgG</div><div>suggested: (Beyotime Cat# A0216, RRID:AB_2860575)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For IFA, Anti-hACE2 antibody and anti-SARS-CoV/SARS-CoV-2 Nucleocapsid Antibody (Cat: 10108-RP01 and 40143-MM05, SinoBiological) were added as primary antibodies.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-hACE2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-SARS-CoV/SARS-CoV-2</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell lines and viruses: Vero-E6 (ATCC® CRL-1586), CaCO2(ATCC® HTB-37) and 293T (ATCC® CRL-3216) cell are cultured in Dulbecco’s Modified Eagle Medium (DMEM, Thermal Fisher, # 12430112), supplied with 10% fetal bovine serum (Thermal Fisher, # 26140079),1%</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero-E6</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>293T</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Vero E6 (ATCC number: CRL-1586) cells were cultured to determinate viral titer.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protection of K18-hACE2 transgenic mice against SARS-CoV-2: K18-hACE2 transgenic mice expressing human ACE2 driven by the human epithelial cell cytokeratin-18 (K18) promoter, were purchased from Gempharmatech and housed in ABSL-3 pathogen-free facilities under 12-h light-dark cycles with ad libitum access to food and water.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>K18-hACE2</div><div>suggested: RRID:IMSR_GPT:T037657)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The whole coding cassette was ligated into a pCMV3 expression vector with a signal peptide of MEFGLSWVFLVALFRGVQC at the N-terminal, and either a 6-his tag (for RBD-his) or a human IgG1 Fc fragment with (GSSSS)3 linker at C-terminal.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCMV3</div><div>suggested: RRID:Addgene_161029)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, pseudovirus bearing wildtype SARS-CoV-2 S protein or mutants were produced by co-transfection with plasmids expressing corresponding protein and backbone plasmid pNL-4-3-Luc.-</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pNL-4-3-Luc</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To accurately quantify the absolute number of SARS-CoV-2 genomes, a standard curve was prepared by measuring the SARS-CoV-2 N gene constructed in the pCMV-N plasmid.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCMV-N</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ExpiCHO Expression System was purchased from Thermal Fisher (#A29133).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Thermal Fisher</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein expression and purification: The constructs of VHHs were selected from phage display, RBD fragment (aa319-541) of SARS-CoV-2 S protein (GenBank: MN908947.3) was synthesized by Genewiz Inc (GENEWIZ, Suzhou, China), the extracellular domain of human ACE2 (1-740 aa) (GenBank: NM_021804.1) was amplified from a plasmid (HG10108-ACG, Sinobiologic, Beijing, China).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GENEWIZ</div><div>suggested: (GENEWIZ, RRID:SCR_003177)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The acid eluted fraction was neutralized with 1M Tris-HCl, pH9.0 and was concentrated and desalted into PBS with Amicon® Ultra-15, PLTK Ultracel-PL membrane (MilliporeSigma Life Science Center, Burlington, Massachusetts, USA) with appropriate MWCO.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Amicon®</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The IC50 values were calculated with non-linear regression using GraphPad Prism 8 (GraphPad Software, Inc.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protection of K18-hACE2 transgenic mice against SARS-CoV-2: K18-hACE2 transgenic mice expressing human ACE2 driven by the human epithelial cell cytokeratin-18 (K18) promoter, were purchased from Gempharmatech and housed in ABSL-3 pathogen-free facilities under 12-h light-dark cycles with ad libitum access to food and water.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Gempharmatech</div><div>suggested: (GemPharmatech, RRID:SCR_017239)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All data was analyzed by XLfit (IDBS, Boston, MA 02210) or Prism 5(GraphPad Software, San Diego, CA 92108).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.10.455627: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: All protocols were approved by the Institutional Animal Care and Use Committees of Guangzhou Customs District Technology Center and Guangzhou Medical University.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Bound antibodies were detected with Peroxidase conjugated goat anti-human kappa light chains antibody (A7164-1ML, Sigma).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human kappa light chains</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Affinity measurement of antibodies by Surface plasmon resonance (SPR): SPR experiments were all conducted with a Biacore T200 system (GE Healthcare); All assays were performed with a Sensor Chip Protein A (GE healthcare),with a HBS EP+ running buffer (0.1M HEPES, 1.5M NaCl, 0.03M EDTA supplemented with 0.005% vol/vol surfactant P20 at 25°C.) To determine the affinities of nanobody VHH18, human IgG1 antibody 2F8, and 2022 to SARS-CoV-2 RBD-His tag, spike trimer-His tag and other S1-His tag variants, antibodies were immobilized onto the sample flow paths of the sensor Protein A chip.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>human IgG1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The sensor was saturated with the first antibody, either 2F8 Fab or VHH18-His, subsequently, the above bioprobes were flown over with the different second antibody, either VHH-his or 2F8 Fab, respectively.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>VHH18-His</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cells were tested with a rabbit anti-SARS-CoV-2 nucleocapsid protein polyclonal antibody (Cat. No.: 40143-T62, SinoBiological, Inc.), and an HRP-labelled goat anti-rabbit as secondary antibody (111-035-003, Jackson ImmunoResearch).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-CoV-2 nucleocapsid protein</div><div>suggested: (Proteintech Cat# 67666-1-Ig, RRID:AB_2882862)</div></div><div style="margin-bottom:8px"><div>anti-rabbit</div><div>suggested: (Jackson ImmunoResearch Labs Cat# 111-035-003, RRID:AB_2313567)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell lines: HEK293 (ACS-4500TM, ATCC) and African Green monkey kidney-derived VeroE6 cells (CRL-1587, ATCC) were cultured and passaged in DMEM with 10% FBS.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ACS-4500TM</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>VeroE6</div><div>suggested: JCRB Cat# JCRB1819, RRID:CVCL_YQ49)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Transiently transfected to HEK293 cells to obtain recombinant RBD alanine mutants and purified by protein A columns.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293</div><div>suggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">HEK293-hACE2 was constructed and sorted by Bio-Thera Solutions, Ltd. Recombinant Proteins: Biotinylated 2019-nCoV S protein RBD, His,Avitag™ (SPD-C82E9,Acrobiosystems); SARS-Vov-2 S protein RBD, His Tag (SPD-S52H6,</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>S protein RBD</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Balb/c mice were mildly anesthetized with isoflurane and i.n. transduced with 2.5×109 PFU of Ad5-ACE2 in 75ul DMEM.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Balb/c</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Values were determined using four-parameter logistic regression (GraphPad Prism).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • No funding statement was detected.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


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      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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    1. SciScore for 10.1101/2021.08.11.455921: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">interferon gamma (IFNγ) (SRP3058) and human Interleukin-4 (IL-4) (I4269) were from Sigma-Aldrich, UK; Primary antibodies were as follows: anti-CTGF goat polyclonal antibody (sc-14939), and anti-COL3A1 goat polyclonal antibody (sc-8781) were from Santa Cruz Biotechnology,</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IL-4</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-CTGF</div><div>suggested: (Santa Cruz Biotechnology Cat# sc-14939, RRID:AB_638805)</div></div><div style="margin-bottom:8px"><div>anti-COL3A1</div><div>suggested: (Santa Cruz Biotechnology Cat# sc-8781, RRID:AB_638604)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Secondary antibodies were as follows: polyclonal rabbit anti-goat Immunoglobulins/HRP (P0160) and polyclonal swine anti-rabbit Immunoglobulins/HRP (P0217) were from Dako, DK; Cy™3-conjugated</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-goat</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>P0160</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-rabbit</div><div>suggested: (Agilent Cat# P0217, RRID:AB_2728719)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The corresponding horseradish peroxidase (HRP)-conjugated secondary antibodies (Dako, Denmark), diluted at 1:2500 in PBSTM were added for approx.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HRP)-conjugated secondary antibodies ( Dako , Denmark)</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The antibody concentration varied and depended on the antibody used, but it was usually at 1:200 or similar for the primary antibodies (i.e. TLR4) and 1:400 for ACE2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>TLR4</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>ACE2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Primary antibodies used were mouse anti-human TLR4 and rabbit anti-spike S1 with the appropriate secondary antibodies (anti-rabbit-minus and anti-mouse-plus PLA probes) from the kit and red detection reagents. 293-hTLR4-HA cells: 293-hTLR4-HA cells (InvivoGen, USA) are HEK 293 cells stably transfected with the hTLR4a gene fused at the 3’ end to an influenza haemagglutinin (HA) tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human TLR4</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-spike</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-rabbit-minus</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-mouse-plus PLA</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>HA</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Primary antibodies used were mouse anti-human TLR4 and rabbit anti-spike S1 with the appropriate secondary antibodies (anti-rabbit-minus and anti-mouse-plus PLA probes) from the kit and red detection reagents. 293-hTLR4-HA cells: 293-hTLR4-HA cells (InvivoGen, USA) are HEK 293 cells stably transfected with the hTLR4a gene fused at the 3’ end to an influenza haemagglutinin (HA) tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293-hTLR4-HA</div><div>suggested: RRID:CVCL_Y394)</div></div><div style="margin-bottom:8px"><div>HEK 293</div><div>suggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">293 cells express very low levels of endogenous TLR4.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293</div><div>suggested: NCI-DTP Cat# NCI-293TT, RRID:CVCL_1D85)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">THP-1 cells and differentiation: The human monocytic cell line THP-1 was routinely maintained in RPMI 1640 (1x) growth medium containing 10% of heat-inactivated FBS, 4.5 mg/ml D-glucose, 2mM L-glutamine, 10mM HEPES, 1mM pyruvate, 0.05 mM 2-mercaptoethanol, and 1% Penicillin/streptomycin.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>THP-1</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Phorbol 12-myristate 13-acetate (PMA) (1201/1) was from Bio-Techne, UK; Cytokines:</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Cytokines</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis was performed and graphs were produced using GraphPad Prism 8, either using a Kruskal Wallis test, Wilcoxon Signed Rank Test, or Repeated Measures One-way ANOVA with G-G correction followed by Tukey’s multiple comparisons post hoc test as appropriate to the experiment and as indicated in the figure legends.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on page 25. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • No funding statement was detected.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.09.455715: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Recombinant expression of Fabs: To increase the yield of recombinant expression of the Fabs in HEK293 cells, the constant regions of the light and heavy chains were replaced by sequences from human Fabs (for sequences, see Table. S1).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293</div><div>suggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Purification of nanobodies: Genes for His-tagged or Strep II-tagged nanobodies were cloned into the pET 26b vector (Novagen).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pET 26b</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The genes were cloned into the pET28b vector (Novagen) with either an N- or C-terminal His6 tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pET28b</div><div>suggested: RRID:Addgene_73018)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The gene for the ALFA peptide was cloned into the pGEX6p1 vector (Cytiva).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pGEX6p1</div><div>suggested: RRID:Addgene_169015)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Purification of a complex of KDEL-receptor (KDELR) and Legobody: The codon-optimized gene for the full-length KDELR with a SBP tag at its C-terminus was cloned into the pRS425-Gal1 vector (ATCC® 87331) 35.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pRS425-Gal1</div><div>suggested: RRID:Addgene_159522)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Purification of a complex of the SARS-CoV-2 spike RBD domain and Legobody: The codon-optimized gene for the RBD domain (residues 334-526) of SARS-CoV-2 spike protein with an N-terminal Flag tag and a C-terminal His8 tag was cloned into the pCAGEN vector.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCAGEN</div><div>suggested: RRID:Addgene_11160)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All cryo-EM movies were recorded in counting-mode using SerialEM.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SerialEM</div><div>suggested: (SerialEM, RRID:SCR_017293)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cryo-EM Image Processing: For the KDELR/Legobody complex, dose-fractionated movies were subjected to motion correction using the program MotionCor2 36 with dose-weighting.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MotionCor2</div><div>suggested: (MotionCor2, RRID:SCR_016499)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For 3D classification, an initial model was generated ab initio in Relion 3.1.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Relion</div><div>suggested: (RELION, RRID:SCR_016274)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Model Building: All model building was done in Coot.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Coot</div><div>suggested: (Coot, RRID:SCR_014222)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      Our Legobody approach thus overcomes current limitations of cryo-EM analysis and greatly expands its use. The new method can be applied to any target protein once a tightly binding nanobody is available. The nanobody is assembled into a Legobody by the binding of two scaffolds, a Fab fragment and a MBP molecule to which domain C of protein A domain has been grafted (MBP_PrAC). All interactions were designed to be rigid. In addition, Fab-interacting domains were fused to MBP_PrAC to further solidify the complex. The Legobody has a characteristic shape, consisting of two lateral arms, formed by the two scaffolds, and a central lobe, contributed by the nanobody. The overall size (∼120 kDa) and shape of the Legobody, and the center of alignment at the position of the nanobody, greatly facilitate all steps of cryo-EM analysis, from particle picking, classifications, to final refinement. We demonstrate the utility of the Legobody method with two examples of small target proteins (KDELR (23kDa) and the RBD (22kDa) of the SARS-CoV-2 spike protein). The membrane protein KDELR poses a particular challenge for cryo-EM analysis, as it is small, has no domains outside membrane, and no symmetry to facilitate particle alignment in EM images. The protein tends to aggregate during purification and on cryo-EM grids at the water-air interface of thin ice. To determine its structure, we not only used the Legobody approach, but also employed two other tricks, which likely are applicable to other ...

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Reviewer #2 (Public Review):

      The pleiotropic adaptive effects of mutations have been extensively characterized, with numerous examples of both specialist and generalist adaptations. However, it is less clear whether and how these pleiotropic patterns change over the course of evolution for a given evolving species. The authors attempt to answer this question by characterizing the pleiotropic fitness effects of ~150 adapted S. cerevisiae populations at 200-generation intervals over 1000 generations of evolution. The authors provide strong quantitative evidence that patterns of pleiotropy are highly dependent on the evolution environment, and changes substantially over relatively short evolutionary timescales (1000 generations). They further show that even with a fixed genotype and selective environment, replicate populations can substantially vary in their pleiotropic profiles (again, in an environment-dependent manner), and this variation tends to increase over evolutionary time. The authors thus provide substantial evidence that the evolution of "generalist" or "specialist" types is not deterministic but rather strongly dependent on both the specific evolving system and evolutionary stochasticity.

      The authors use DNA barcodes to uniquely tag each of their evolving populations, then use bulk fitness assays to measure the fitness of each population at 5 different timepoints across five different environments. These methods are well established, and appear to have been implemented correctly. The resulting data clearly answers the proposed question, and supports the major claims of the paper.

      Most previous studies of the pleiotropic effects of adaptation characterize a relatively small number of independently evolved lines, limiting our ability to draw quantitative conclusions (but see Kinser et al 2020 eLife). Furthermore, I am unaware of any large-scale study characterizing how the pleiotropic effects of mutations change over evolutionary time. While the specific experiments and data are not of use to the broader community, the major findings substantially advance our understanding of the evolutionary process and open up new avenues of both theoretical and empirical research.

    1. Denn Shoppen im Laden darf nur, wer einen negativen Corona-Schnelltest vorweisen kann, der vom selben Tag stammen muss.

      § 15 (1) S. 1 2. InfSchMV i.V.m. § 6 (1) Nr. 4 2. InfSchMV

    1. But that isn’t always an option in today’s frenzied market. Mr. Houghton said he had recently been given little more than a pitch presentation, a high price tag and a few hours to decide whether he was in or out of an investment.

      What did he not have more time to decide?

    1. SciScore for 10.1101/2021.08.03.455003: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Anti-T7 tag HRP-conjugated secondary antibodies were diluted at 1:5000 and incubated at room temperature for 1 hour.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-T7 tag</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To obtain the T20 score of a given VH/VHH sequence, the query sequence will be searched against the reference database by blastp.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>blastp</div><div>suggested: (BLASTP, RRID:SCR_001010)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Structural analysis of buried residues: The degree of burial for a residue is quantified by measuring the depth of the side chain below the protein surface using the ResidueDepth module in BioPython.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BioPython</div><div>suggested: (Biopython, RRID:SCR_007173)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The following criteria were used to predict the presence of a certain interaction: Salt bridge: The distance between two opposite charge atoms between two residues is less than 4 angstrom.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Salt</div><div>suggested: (SALT, RRID:SCR_003187)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The raw data were processed and fitted into the 4PL curve using the Prism Graphpad 9.0.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Graphpad</div><div>suggested: (GraphPad, RRID:SCR_000306)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.08.04.21261592: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Human specimens: All human specimens were obtained with oversight from the UAMS Institutional Review Board (IRB), and waiver of consent and HIPAA applied.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">An additional 5% of negative sera were randomly selected and tested in parallel.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Purified proteins were confirmed by Coomassie and western blot using antigen-specific antibodies and stored at -80°C.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>antigen-specific</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein production and purification: HEK293T cells were cultured in Dulbecco’s minimum essential media (DMEM; Gibco) supplemented with 10% heat-inactivated calf serum (CS, VWR), 2 mM L-glutamine (Invitrogen), and 100 U/mL penicillin/100 µg/mL streptomycin (Invitrogen).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, 15 cm dishes seeded with 9×106 cells on the preceding day were transfected with 20 µg of pCAGGS-SARS-CoV-2 Wuhan-Hu-1 RBD-C-terminal 6-His tag (BEI Resources), pCAGGS SARS-CoV-2</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCAGGS-SARS-CoV-2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pCAGGS</div><div>suggested: RRID:Addgene_18926)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Wuhan-Hu-1 ectodomain Spike glycoprotein gene-C-terminal 6-His tag, or pCMV3 2019-nCoV</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCMV3</div><div>suggested: RRID:Addgene_161029)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Clinical and demographic variables were stored in a secure REDCap database16,17 and included age, sex, race/ethnicity, zip code, and county of residence.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>REDCap</div><div>suggested: (REDCap, RRID:SCR_003445)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plates were coated with 2 µg/mL RBD, spike, nucleoprotein, or bovine serum albumin (BSA; Sigma Aldrich) and FACT ELISA was performed as above.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BSA; Sigma Aldrich</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We conducted all analyses using SAS version 9.4 (SAS Institute).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SAS Institute</div><div>suggested: (Statistical Analysis System, RRID:SCR_008567)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Because the confidence intervals on the inferred trait space are probably over-estimates, we decided to apply a thresholding step to the interactions after the data inflation fig. 5. Cirtwill and Hambäck (2021) highlight a number of strategies to threshold probabilistic networks. Their methods assume the underlying data to be tag-based sequencing, which represents interactions as co-occurrences of predator and prey within the same tags; this is conceptually identical to our Bernoulli-trial based reconstruction of a probabilistic network. We performed a full analysis of the effect of various cutoffs, and as they either resulted in removing too few interactions, or removing enough interactions that species started to be disconnected from the network, we set this threshold for a probability equivalent to 0 to the largest possible value that still allowed all species to have at least one interaction with a non-zero probability.

      This part is a bit hard to follow. I would suggest to first explain more generally how does the 'thresholding step' work - as in how does this step reduce overestimation? Then proceed by explaining the ins and outs of the thresholding step. Did you specifically use the same method as in Cirtwill and Hambäch (2021)? This part was unclear to me.

    1. 3.3 如何保存搜索素材

      .quiz 确实我当下最严重的问题。如果保存素材,和管理好素材

      使用readwise后,加上最近加入了inline tag的技巧。我现在的素材已经到达了block和card的级别了呢。怎么才能有效管呢?

    1. 在少数派写作一年了,这是我的写作工具流丨 2016 与我的数字生活

      .cmt 没有解决我当前的问题,但是提供了一些有意思的工具和使用场景

      .ctk 现在的我也能更明确的定义自己当前碰到的问题了,就是如何管理inline tag级别的素材。啧啧,感觉搞定了以后readwise和flomo的价值对我就能起飞了。

    2. 阅读素材的时候都会动笔摘抄下觉得有用的部分,或者是对自己的启发,通常是碎片的形式在脑中冒出来,Bear 就很适合这个场景。全平台化保证了不管手边有什么设备都可以第一时间打开 Bear,而这些思维碎片通常也没什么特定或者清晰的主题,Bear 的标签系统就很适合用来整理。对每一个碎片段落,我都会起码加一个 #碎片 的标签,再根据内容添加。

      .cmt 记得之前尝试过一阵子bear,吸引我的点就是inline tag,看来当时的灵感是对的。因为现在很依赖inline tag,针对卡片和block级别内容做标注。

      碎片的这tag很有意思诶。就和我的randomstuff很像,但是碎片两个字儿更有趣一点

    1. We live now in a world in which everything, from the water we drink to our body's cells and genomes, has a price tag on it and no effort is spared to ensure that companies have the right to enclose the last open spaces on earth and force us to pay to gain access to them

      ¿A qué hemos llegado?

    1. SciScore for 10.1101/2021.07.30.21261234: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The protocol was approved CALHN Human Research Ethics Committee, Adelaide,<br>Consent: Inclusion criteria were PCR-confirmed SARS-CoV-2 infection from nasopharyngeal swabs, the ability to attend study follow up visits, and voluntary informed consent.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">A total of 69 COVID-19 convalescent individuals (35 male, 36 female) representing a range of prior mild, moderate, severe, critical COVID-19 cases were recruited (Table S1).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Secondary antibodies were diluted in 5% skim milk in PBST as follows: Goat anti-Human IgG (H+L) Secondary Antibody, HRP (1:30,000;</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Human IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Sigma): anti-human IgA HRP antibody (1:5,000; Sigma) and incubated for 1 hour at room temperature.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human IgA</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Pearson correlation analysis was performed using the Hmisc v4.4-2 package in R to determine correlations between anti-Spike and anti-RBD antibody titres, flow cytometry data and BTM activity scores.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Spike</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-RBD</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 protein purification and ELISA: Prefusion SARS-CoV-2 ectodomain (isolate WHU1, residues1-1208) with HexaPro mutations (76) (kindly provided by Adam Wheatley) and SARS-Cov-2 receptor-binding domain (RBD) with C-terminal His-tag (77) (residues 319-541; kindly provided by Florian Krammer) were overexpressed in Expi293 cells and purified by Ni-NTA affinity and size- exclusion chromatography.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Expi293</div><div>suggested: RRID:CVCL_D615)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">AUC calculation was performed using Prism GraphPad, where the X-axis is half log10 of sera dilution against OD450 on Y-axis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Compensation was set with beads matched to each panel antibody combination using spectral compensation using FlowJo Software V10.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">RNA-Seq analysis: Sequence read quality was assessed using FastQC version 0.11.4 (78) and summarised with MultiQC version 1.8 (79) prior to quality control with Trimmomatic version 0.38 (80) with a window size of 4 nucleotides and an average quality score of 25.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FastQC</div><div>suggested: (FastQC, RRID:SCR_014583)</div></div><div style="margin-bottom:8px"><div>MultiQC</div><div>suggested: (MultiQC, RRID:SCR_014982)</div></div><div style="margin-bottom:8px"><div>Trimmomatic</div><div>suggested: (Trimmomatic, RRID:SCR_011848)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Reads that passed all quality control steps were then aligned to the mouse genome (GRCh38 assembly) using HISAT2 version 2.1.0 (81).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HISAT2</div><div>suggested: (HISAT2, RRID:SCR_015530)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The gene count matrix was generated with FeatureCounts version 1.5.0-p2 (82) using the union model with Ensembl version 101 annotation.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FeatureCounts</div><div>suggested: (featureCounts, RRID:SCR_012919)</div></div><div style="margin-bottom:8px"><div>Ensembl</div><div>suggested: (Ensembl, RRID:SCR_002344)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The count matrix was then imported into R version 4.0.3 for further analysis and visualisation in ggplot2 v2.3.3.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ggplot2</div><div>suggested: (ggplot2, RRID:SCR_014601)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To assess if differential gene expression was primarily driven by differences in the proportion of any major immune cell population (i.e. LD granulocytes, LD neutrophils, CXCR3+ neutrophils, monocytes, lymphocytes, CD56++ NK cells, CD19+ B cells, CD3+ T cells, NKT cells, CD4+ T cells or CD8+ T cells), we additionally fit the frequency of each population in each individual into the EdgeR model and reperformed the differential gene expression and pathway overrepresentation analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>EdgeR</div><div>suggested: (edgeR, RRID:SCR_012802)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Gene Set Variation Analysis (GSVA) (44) was used to calculate a per sample activity score for each of the modules (excluding unannotated modules labelled as ‘TBA’). limma v3.46.0 was used to identify modules that were differentially active in at least one timepoint.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>limma</div><div>suggested: (LIMMA, RRID:SCR_010943)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Correlation networks were exported to Cytoscape v3.8.1 for visualisation.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Cytoscape</div><div>suggested: (Cytoscape, RRID:SCR_003032)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your code and data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. 出个 SOP(标准作业程序)来让大家照着一定的标准填,可是一来浪费时间,二来人不是机器,可能会出错,为防止出错又要经常校对,一来二去成本太高了;而在黑帕云中,可以将此类常用数据设置为「下拉框」类型的字段,预定义数据值

      这个解题思路简单,实现起来也不复杂。对于添加相应tag有设计外加权限限制即可。不知道notion和飞书支持不支持。

    1. 高质量内容具有三个维度:能触发用户痛点;为不同阶段的用户提供不同的内容;在合适的渠道,发布合适的内容。

      imp. 什么是高质量内容

      搜索关键字,而且应该看到过很多次了。所以,之后的批注要有钩子,不管是基于问题还是基于黑体字的展现形式还是基于inline tag

    1. SciScore for 10.1101/2021.07.30.454436: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The membranes were incubated overnight at 4°C with anti-ACE2 mouse monoclonal antibody AC18Z (1:2000, Santa Cruz) or anti-β-actin mouse monoclonal antibody (1:5000, Sigma Aldrich)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-β-actin</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Anti-mouse IgG peroxidase conjugated (1:5000, Sigma Aldrich) was used as secondary antibody.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-mouse IgG</div><div>suggested: (LSBio (LifeSpan Cat# LS-C69682-5000, RRID:AB_1653096)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">FLAG-tagged ACE2 (AdipoGen) was captured on the chip by a previously immobilized anti-FLAG antibody (Merck Life Science S.r.l).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ACE2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-FLAG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">S protein (Euprotein), its S1 domain and its RBD (SinoBiological), all Fc-tagged, were captured on the same chip by a previously immobilized anti-Fc antibody (Merck Life Science S.r.l).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Fc</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">FlagACE-2, FcS, FcRBD or FcS1 were then flowed on the corresponding anti-tag antibodies at 30 µg/mL in 10 mM phosphate buffer containing 150 mM NaCl and 0.005% Tween 20 (PBST, pH 7.4), also used as running buffer.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-tag</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, HEK293-T cells were seeded into 10 cm plates with DMEM containing 0.5 mg/mL geneticin G418 (Thermofisher).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293-T</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell viability: Cells were seeded on 96-well plates (7.5 × 103 Vero cells/well and 2 × 104 HEK293-ACE2 cells/well) in complete DMEM medium with 10% FBS.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero</div><div>suggested: RRID:CVCL_ZW93)</div></div><div style="margin-bottom:8px"><div>HEK293-ACE2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Virus: We successfully isolated SARS-CoV-2 in Vero E6 cells from the nasopharyngeal swab of a COVID-19 patient (31).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">: 5′-GCT GGA TCC CCT AAT ATT ACA AAC TTG TGCC-3′; RBD-R: 5′-TGC CTC GAG CTC AAG TGT CTG TGGATC AC-3′) into pGEM T-easy vector (Promega, Madison, WI, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pGEM T-easy</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The ZOE™ images were analyzed with Fiji software (see S1 Appendix).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Fiji</div><div>suggested: (Fiji, RRID:SCR_002285)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Surface plasmon resonance: All analyses were done with a ProteOn XPR36 Protein Interaction Array system (Bio-Rad Laboratories, Hercules, CA) surface plasmon resonance (SPR) apparatus with six parallel flow channels that can immobilize up to six ligands on the same sensor chip.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Bio-Rad Laboratories</div><div>suggested: (Bio-Rad Laboratories, RRID:SCR_008426)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: For statistical analyses were used with software version 7.03/8.0 (GraphPad) including all the data points, with the exception of experiments in which negative and/or positive controls did not give the expected outcome.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.07.30.454437: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Bright-field microscopy images were taken at 10x magnification from randomly chosen areas of each culture dish.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Antibodies and reagents for immunocytochemistry included: ACTC1 (Actin α-sarcomeric mouse mAb clone 5C5 (Sigma)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ACTC1</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Actin</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Nucleocapsid clone 1C7 (Bioss Antibodies), ACE2 goat polyclonal Ab (R&D Systems) and ATP2A2/SERCA2 rabbit polyclonal Ab (Cell Signaling).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ACE2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>ATP2A2/SERCA2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The S-proteins were visualized on an immunoblot using the anti-S specific monoclonal antibody 1A9 (GeneTex, GTX632604; 1:2000 dilution) which binds the S2 subunit of SARS CoV and SARS-CoV-2 S-proteins.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-S</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>GTX632604</div><div>suggested: (GeneTex Cat# GTX632604, RRID:AB_2864418)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">An anti-mouse horseradish peroxidase (HRP)-conjugated secondary antibody was used to reveal the bands.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-mouse</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">MERS S-protein was detected using a monoclonal anti-FLAG M2-HRP conjugated antibody (SIGMA, A8592 @ 1:2000) which bound to a C-terminal FLAG-tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-FLAG M2-HRP</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>FLAG-tag</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The expression of the mEmerald tag was verified using a polyclonal anti-GFP antibody (Abcam, ab290 @ 1:5000).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-GFP</div><div>suggested: (Abcam Cat# ab290, RRID:AB_303395)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 infection of hiPSC-CM: SARS-CoV-2/UW-001/Human/2020/Wisconsin (UW-001) was isolated from a mild case in February 2020 and passaged in VeroE6 cells expressing TMPRSS2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>VeroE6</div><div>suggested: JCRB Cat# JCRB1819, RRID:CVCL_YQ49)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Virus titration: SARS-CoV-2 infectious virus produced by hiPSC-CM was titered by plaque-forming assay done in confluent Vero E6/TMPRSS2 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6/TMPRSS2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After initial exposure, the Vero/TMPRSS2 cells were washed three times to remove unbound virus and the media was replaced with 1.0% methylcellulose-media.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero/TMPRSS2</div><div>suggested: JCRB Cat# JCRB1818, RRID:CVCL_YQ48)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell-cell fusion was followed for 72-hours (for Vero cells) and 5 days for hiPSC-CMS with media and inhibitor refreshed on day-3.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero</div><div>suggested: CLS Cat# 605372/p622_VERO, RRID:CVCL_0059)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Fluorescence-activated cell sorting: To determine S-protein cell surface expression levels, HeLa cells (8 × 105 in a 6-well plate) were transfected with the indicated S-protein expression plasmids (2 µg using GeneJuice transfection reagent).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HeLa</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plasmids and mutagenesis: The codon-optimized SARS-CoV2 S-protein gene (YP_009724390) was synthesized by Genewiz in a pUC57-Amp plasmid (kindly provided by M. Barry).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pUC57-Amp</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The S-protein coding sequence was cloned into a pCG mammalian expression plasmid [52] using unique restriction sites BamHI and SpeI.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCG</div><div>suggested: RRID:Addgene_51476)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Bioinformatics and data analysis: The quality of the raw RNA-seq data was assessed by fastqp v0.20.1 [44], and quality reads were filtered and aligned against human genome (hg19) using STAR alignment (v2.7.8a) [45] in galaxy platform (https://usegalaxy.org).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STAR</div><div>suggested: (STAR, RRID:SCR_004463)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The aligned reads were counted using htseq-count v0.9.1 [46] and 0.5 read counts per million (CPM) in at least two samples was used as an expression threshold.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>htseq-count</div><div>suggested: (htseq-count, RRID:SCR_011867)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Trimmed mean of M values normalized (TMM) [47] and log2 transformed data was used for plotting heatmaps and differential analysis in limma [48].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>limma</div><div>suggested: (LIMMA, RRID:SCR_010943)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For the detection of viral transcripts, quality filtered reads were aligned against SARS-CoV-2 genome (MT039887.1) using BWA-MEM v0.7.17.1 (</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BWA-MEM</div><div>suggested: (Sniffles, RRID:SCR_017619)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Alignment summary statistics was computed using samtools idxstats v2.0.3 [49].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>samtools</div><div>suggested: (SAMTOOLS, RRID:SCR_002105)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The raw RNA-seq data from this study are available at Gene Expression Omnibus with accession number xxxx [to be added].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Gene Expression Omnibus</div><div>suggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plasmids and mutagenesis: The codon-optimized SARS-CoV2 S-protein gene (YP_009724390) was synthesized by Genewiz in a pUC57-Amp plasmid (kindly provided by M. Barry).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Genewiz</div><div>suggested: (GENEWIZ, RRID:SCR_003177)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ANOVA statistical analysis was carried out using GraphPad Prism software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After three washes with FACS wash buffer, cells were fixed in 4% paraformaldehyde and analyzed with a FACSCalibur (BD Biosciences, San Jose, CA) cytometer and FlowJo software (Tree Star Inc.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FACSCalibur</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on pages 34 and 37. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • No funding statement was detected.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.07.25.453673: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Neutralization assay: Pseudoviruses were generated by co-transfection of HEK293T cells with plasmids encoding firefly luciferase, a lentiviral packaging plasmid (Addgene cat8455), and a plasmid encoding the spike protein (with a C-terminal truncation) from either SARS-CoV (Addgene cat 170447), SARS-CoV-2 53, or SARS-CoV-2 B.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Pseudotyped viruses (PSV) sufficient to generate 100 000 relative light units (RLU) were incubated with serial dilutions of nanobody for 60 min at 37 °C. 15 000 HEK293T-hACE2 cells were then added to each well, and the plates were incubated for 48 h at 37 °C.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T-hACE2</div><div>suggested: RRID:CVCL_A7UK)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 challenge experiments: K18-hACE2 transgenic mice were purchased from Jackson laboratories and maintained as a hemizygous line.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>K18-hACE2</div><div>suggested: RRID:IMSR_GPT:T037657)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Nanobodies were cloned in the pHEN plasmid with a C-terminal sortase motif (LPETG) and a 6xHIS tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pHEN</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cloning and expression of candidates: Selected nanobody sequences were ordered as eBlocks from Integrated DNA technologies (IDT) with 20 bp overhangs for Gibson assembly into a pHEN6 plasmid digested with PstI and BstEII restriction enzymes.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pHEN6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Neutralizing antibody ID50 titers were calculated in Prism 9 (GraphPad Software) by fitting a four-parameter logistic curve bounded between 0 and 100, and interpolating the concentration/dilution where RLUs were reduced by 50% relative to control wells in the absence of nanobody.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Fluorescence was quantified using a BD FACSCelesta and the FlowJo software package.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The mass spectrometry and HDExaminer analysis files have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository (REF ID:30395289).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PRIDE</div><div>suggested: (Pride-asap, RRID:SCR_012052)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">S4) was quantified using ImageJ and an E4 homodimer as a reference.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ImageJ</div><div>suggested: (ImageJ, RRID:SCR_003070)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.07.28.454072: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The PVDF membrane was blocked with 1% (for anti-FLAG antibody) or 3% (for anti-HA antibody) non-fat milk in TBST buffer (Tris-buffered saline containing 0.05% Tween-20) overnight at 4 °C and incubated with anti-FLAG antibody (Sigma, F1804, 1:1000 dilution) or anti-HA antibody (Abcam, ab9110, 1:1000 dilution) for 2 hours at room temperature.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-FLAG</div><div>suggested: (Sigma-Aldrich Cat# F1804, RRID:AB_262044)</div></div><div style="margin-bottom:8px"><div>F1804</div><div>suggested: (Sigma-Aldrich Cat# F1804, RRID:AB_262044)</div></div><div style="margin-bottom:8px"><div>anti-HA</div><div>suggested: (Abcam Cat# ab9110, RRID:AB_307019)</div></div><div style="margin-bottom:8px"><div>ab9110</div><div>suggested: (Abcam Cat# ab9110, RRID:AB_307019)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For western blot analysis, HEK 293T cells were lysed using RIPA buffer (Beyotime, P0013B).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK 293T</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The DNA fragment encoding the biosensor pBRET-1 was synthesized at GENEWIZ (Suzhou, China) and inserted into pcDNA3.1 vector at the site after the FLAG-tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA3.1</div><div>suggested: RRID:Addgene_79663)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The plasmid of pBRETmut-1 was constructed by introducing the 3CLpro C145A mutation into pBRET-1 through site-directed mutagenesis using primers C145A-F and C145A-R (Table S1).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pBRETmut-1</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pBRET-1</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The DNA fragment encoding the biosensor pBRET-1 was synthesized at GENEWIZ (Suzhou, China) and inserted into pcDNA3.1 vector at the site after the FLAG-tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GENEWIZ</div><div>suggested: (GENEWIZ, RRID:SCR_003177)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Paper Discovery:

      • Research Rabbit
      • Connected Papers
      • Citation Gecko
      • Papers With Code

      Zotero SciHub - for downloading papers into one's Zotero instance

      Academic Networking

      • lens.org (also good for discovery)
      • OrcID
      • Impact Story

      Ginko App (trees and cards interface) for writing with interesting import and export

      around 2:56: A bit too much Andy Matuschak worship? Pretty sure he didn't invent the so-called Andy Mode. Index cards pre-dated them surely as did Ward Cunningham's Smallest Federated Wiki. There are many other idex-card UIs prior to Matuschak.

      Map of Content (MOC) apparently comes from How to Make a Complete Map of Every Thought You Think by Lion Kimbro.

      • it's a glorified Table of Contents really

      Plugins he's using:

      • 3:22:15 add codemirror matchbrackets js
      • 3:23:31 advanced tables
      • 3:26:09 Better word count
      • 3:26:41 calendar
      • 3:27:32 copy code block
      • 3:28:25 cycle through panes
      • 3:29:55 Dataview
      • 3:30:33 editor syntax highlight
      • 3:30:43 extended mathjax
      • 3:31:08 file explorer note count
      • 3:32:04 full-screen mode
      • 3:32:23 highlgiht public notes
      • 3:33:11 kanban
      • 3:33:35 kindle highlights
      • 3:33:56 metatable
      • 3:34:24 mindmap
      • 3:35:36 NLP dates
      • 3:36:10 pane relief
      • 3:36:42 paste URL
      • 3:37:21 periodic notes
      • 3:37:44 recent files
      • 3:37:59 relevant line number
      • 3:38:33 show current open note
      • 3:38:45 review
      • 3:39:43 sliding panes
      • 3:40:42 super charged links
      • 3:41:11 random note
      • 3:41:39 tag wrangler
      • 3:42:22 templater
      • 3:46:05 zoom

      textsniper for OCR and potentially text-to-speech, apple only, so leark for others.

      MathPix

    1. THE FEDERALIST PAPERS

      Should one flag this URL, or the earliest capture of this URL at archive.org? Does that depend on the purpose, the context by which the annotation is to be used?

      Edit: Is there another tag that could be used here?

    1. My process for collecting and synthesizing information used to be exactly that: make highlights, sync them to Roam, tag the articles’ pages, and the respective blocks/highlights. And when it was time to write I would think of applicable tags for drafting the outline of an article, open their linked references in the sidebar, drag relevant ones into the outline, and draft the manuscript.

      work flow of roambrain/Maarten van Doornm page, example of catch knowledge

  3. Jul 2021
    1. Upon completion of harvest in some parts of Germany during medieval times, farmers preserved the last remaining grain as “Wödin’s Share” (Vergodendeel, Vergodenstruss), an offering to the ancient pagan Allfather (Norse Odin, Slavic Volos). To solicit Wödin’s favor for the coming year, the cuttings were left for his thundering herd of horses sometimes glimpsed swirling aloft as heaps of roiling clouds. Four-wheeled “Wödin’s Wagon” was known in some German traditions as the four stars of Ursa Major with the three that descend from the corner forming the wain’s tongue. German folklorist-philologist Jacob Grimm (1785-1863) found evidence of these traditions persisting well into the nineteenth century.

      Cf. Leviticus or Ireland. Don't maximize efficiency. Leave slack in the line.

    1. FluentFelicityOp · 12hBrilliant... I must ask you to share a little of your story. What brought you to have learned this much history and philosophy?

      I've always had history and philosophy around me from a relatively young age. Some of this stems from a practice of mnemonics since I was eleven and a more targeted study of the history and philosophy of mnemonics over the past decade. Some of this overlaps areas like knowledge acquisition and commonplace books which I've delved into over the past 6 years. I have a personal website that serves to some extent as a digital commonplace book and I've begun studying and collecting examples of others who practice similar patterns (see: https://indieweb.org/commonplace_book and a selection of public posts at https://boffosocko.com/tag/commonplace-books/) in the blogosphere and wiki space. As a result of this I've been watching the digital gardens space and the ideas relating to Zettelkasten for the past several years as well. If you'd like to go down a similar rabbit hole I can recommend some good books.

    1. Myc-Tag (9B11) Mouse mAb

      DOI: 10.1016/j.str.2019.09.006

      Resource: (Cell Signaling Technology Cat# 2276, RRID:AB_331783)

      Curator: @ethanbadger

      SciCrunch record: RRID:AB_331783


      What is this?

    2. HA-Tag (C29F4) Rabbit mAb

      DOI: 10.1016/j.str.2019.09.006

      Resource: (Cell Signaling Technology Cat# 3724, RRID:AB_1549585)

      Curator: @ethanbadger

      SciCrunch record: RRID:AB_1549585


      What is this?

    1. RRID:AB_2737029

      DOI: 10.1016/j.celrep.2018.07.065

      Resource: (Diagenode Cat# C15200190, RRID:AB_2737029)

      Curator: @evieth

      SciCrunch record: RRID:AB_2737029

      Curator comments: Diagenode Cat# C15200190,HA tag monoclonal antibody


      What is this?

    1. Task related plugin for Obsidian.

      <small><cite class='h-cite via'> <span class='p-author h-card'>Eleanor Konik</span> in 2021-07-17: Obsidian Mobile, Community Events & Graph Tips (<time class='dt-published'>07/29/2021 11:06:38</time>)</cite></small>

    1. Rabbit Anti-DDDDK Tag Polyclonal Antibody, Unconjugated

      DOI: 10.7554/eLife.48318

      Resource: (MBL International Cat# PM020, RRID:AB_591224)

      Curator: @Naa003

      SciCrunch record: RRID:AB_591224


      What is this?

    2. Mouse Monoclonal Anti-HA-Tag Antibody

      DOI: 10.7554/eLife.48318

      Resource: (MBL International Cat# M180-3, RRID:AB_10951811)

      Curator: @Naa003

      SciCrunch record: RRID:AB_10951811


      What is this?

    1. Reviewer #1 (Public Review):

      Yao Rang and collaborators find that heterologous expression of TMEM120A from mouse and human in cells that lack Piezo1 does not result in poke- or stretch-activated currents in whole cells or excised patches, and further detect no mechano-sensitive currents when the purified human protein is reconstituted in giant unilamellar vesicles. Together with high-quality positive controls with Piezo1, Piezo2 and TMEM63a, the results presented here call into question a previous proposal (Beaulieau-Laroche et al., Cell 2020) that TMEM120A functions as the long sought-after mechano-activated channel responsible for detecting painful touch.

      Although the evidence supporting a channel function for TMEM120A is not strong, it remains to be ruled out that the discrepancies between the two studies arise from the different methods that were used to deliver the mechanical stimuli, as mentioned by the authors in the Discussion, or from the C-terminal mCherry tag attached to human TMEM120A in this study that was not present in the construct used by Beaulieau-Laroche et al.

      Upon determination of the structure of full-length human TMEM120A in nanodiscs using cryo-EM, the authors find that the protein forms a dimer with six transmembrane helices per subunit and a cytosolic N-terminal coiled coil domain. Surprisingly, the authors find a density attributable to coenzyme-A (CoASH) located within a highly conserved cytosolic cavity at the transmembrane domain. The authors provide evidence from mass-spectrometry and isothermal titration calorimetry (ITC) to demonstrate that CoASH binds TMEM120A, and solidify their conclusions by showing that mutation of a residue close to the CoASH density in TMEM120A disrupts binding measured by ITC. The authors show that a potential ion-conduction pathway in their TMEM120A structure would be occluded by CoASH on the cytosolic side and on the extracellular side by a series of not well-conserved residues. Finally, the authors solve a structure in detergents where no density for CoASH is observed, as expected from spectroscopic data showing that detergent-reconstitution results in loss of CoASH binding. In this structure, a conformational change is suggested to occur on the cytosolic cavity entrance where a loop becomes reoriented to occlude the cavity that is otherwise occupied by CoASH. Together, the data presented paints an intriguing alternative for the function of TMEM120A proteins with a role in metabolism or CoA transport.

      Although the main conclusions are well supported by the evidence, it is challenging to appraise many of the interesting structural observations pointed out by the authors because the experimental data (i.e. the density) is in most cases not depicted. Some of these observations for which only the model rather than the experimental data is shown include the hinge-like motif at the dimer interface (Fig. 3C), the CoASH binding site (Fig. 4E and Fig. 4 Supplement 1C), the difference in the conformation of the IL5 loop between the apo and CoASH-bound structures (Fig. 5), the extracellular constriction of the possible ion-conduction pathway (Fig. 4 Supplement 1D and Fig. 5 Supplement 2), as well as the comment that the observed density in the structures cannot accommodate other CoA-derivatives, for which data is not shown. The relatively low resolution at which the data were obtained raises concerns regarding many of these detailed observations.

    1. Note: This rebuttal was posted by the corresponding author to Review Commons. Content has not been altered except for formatting.

      Learn more at Review Commons


      Reply to the reviewers

      Dear reviewers,

      We thank all reviewers for and their appreciation of our work and even more so for their constructive comments and suggestions, which will significantly improve the quality of the manuscript. We were able to complete the revision and address all reviewer comments. Aside a more stringent discussion of the literature, and rewording of certain paragraphs for clarity, we also generated additional experimental data.

      More importantly, to address the concern that we did not provide a positive marker for the intranuclear compartment, we present new images. We attempted to label gamma-Tubulin by generating new antibodies, GFP-tagged strains, and trying multiple commercial antibodies since the beginning of the project. Only recently we found an antibody providing a more specific signal at the expected location, although with some likely cross-reactivity with alpha- and beta-tubulin, and now show these data in the supplements. Additionally, we generated expansion microscopy samples stained with a fluorophore-coupled NHS-Ester, a bulk protein label. These data show that the centrosome contains an exceptionally protein dense hourglass-shaped region, which spans from the extranuclear to the intranuclear compartment, as revealed by centrin and tubulin co-staining. This fortifies our claims about the distinct nature of the intranuclear centrosome compartment containing the microtubule nucleation sites.

      Further, we add images of 5-SiR-Hoechst, SPY555-Tubulin, Centrin1-GFP triple labelling live cells to demonstrate the specificity of the microtubule dye and to underline that we are indeed acquiring the dynamics from the first nuclear division on.

      In terms of formatting we added line numbers and uploaded high quality figures separately. Due to the added data and panels we needed to split Fig. 1 into two separate figures, rewrote the figure legends and moved them to the end of the document.

      Please find below a point-by-point response to the comments.

      Best regards,

      Julien Guizetti

      Reviewer #1 (Evidence, reproducibility and clarity (Required)):

      The manuscript by Simon and collaborators addresses the dynamic changes of spindle and hemi-spindle microtubules occurring along schizogony in Plasmodium falciparum. The work explores the temporal correlation of the changes observed in intranuclear spindles with changes at the level of the centriolar plaque; the nuclear microtubule organizing center of these parasites, using centrin as a bona fide marker of the structure. The study shows that spindle microtubules organize from an intranuclear region, devoid of chromatin, distinct from the centrin region which had not been observed or described before. It further shows that centrin does not localize at the nuclear envelope, but it is actually extranuclear.

      This work significantly expands on previous knowledge regarding the functional and spatial organization of the nucleus in P. falciparum, and the structure once defined as "an electron dense mass on the nuclear envelope." It uses state of the art microscopy approaches such as STED, UExM and CLEM, in combination with immunolabeling, dyes and parasites over expressing fluorescent protein fusions, to address these questions.

      **Major comments:**

      • Are the key conclusions convincing?

      I find the manuscript successfully addresses the posed questions. The data presented supports the conclusions.

      • Should the authors qualify some of their claims as preliminary or speculative, or remove them altogether?

      • Would additional experiments be essential to support the claims of the paper? Request additional experiments only where necessary for the paper as it is, and do not ask authors to open new lines of experimentation.

      No

      • Are the suggested experiments realistic in terms of time and resources? It would help if you could add an estimated cost and time investment for substantial experiments.

      N/A

      • Are the data and the methods presented in such a way that they can be reproduced?

      Yes

      • Are the experiments adequately replicated and statistical analysis adequate?

      Yes

      **Minor comments:**

      • Specific experimental issues that are easily addressable.

      On the data shown in Figure 1, it is unclear to me what elements are taken into account to define "anaphase." Anaphase could be defined by using chromatin markers - such as CenH3- which have been identified in Plasmodium and the authors make use of in Figure 1F.

      We acknowledge that the term anaphase is ill-defined here. Further it suggests a mitotic morphology analogous to the one observed in “classical” models (prophase, metaphase, anaphase,…), which is not fully appropriate. In line with the comments by Reviewer 3 we, therefore, decided to use the term “extended spindle” instead (Fig. 1 & 2). This better reflects the morphological criterion on which we based the stage definition.

      • Are prior studies referenced appropriately?

      The authors state that "with the exception of centrins and gamma tubulins" few canonical centrosome components are conserved in Plasmodium. These parasites are in fact able to assemble a more or less canonical centriole for microgamete basal body formation. Widely conserved centriolar components such as Sas6 are coded by the malaria genome, and have been characterized previously. This work is neither referenced nor discussed in the manuscript.

      The reviewer is right to point out this omission. We were too much focussed on the blood stage centriolar plaques while writing this section, where centrioles are not observed. Of course centriole-like structures are relevant in other life cycle stages, such as microgametes, and should be discussed (line 104). Some previous attempts to endogenously tag Sas6 to verify its localization in blood stages were unfortunately not successful.

      • Are the text and figures clear and accurate?

      I find the timings shown in Figure 1A, with respect to the schematic quantification shown in Figure 1B, confusing. Shown as it is, one naturally correlates the images on Fig1A above with the cell cycle progression timing shown on Fig1B, below. However, by time 260min, for example, two somewhat adjacent centrin signals can be observed. Though this is defined as anaphase- by an unspecified criterium- this could very well be representative of metaphase. Nonetheless, the timing shown on Figure 1B for "anaphase" onset is 170min, which is inconsistent with the images above. I suggest that either, the quantification is shown in a different format (ex. bar plots) which could then better reflect the cell to cell variations observed (by use of error bars, for example) or that the figure explanation in the results section clarifies this issue.

      We understand how this representation is misleading and have adjusted the figure and text accordingly. We modified the time stamps in Fig. 1A (now Fig. 1C) to the scale used in Fig. 1B (now Fig. 1D) i.e. collapse of the hemispindle is t=0 and explain this in the text (line 158). Since we feel that Fig. 1B (now Fig. 1D) is a good and compact visual representation of progression through the first division we kept the bar plots in the supplements (Fig. S1), but added a title clarifying that average duration between multiple movies are shown.

      As presented, the data in Figure 1C is rather uninformative. A pattern could be more immediately extracted if dots corresponding to subsequent appearance of centrin dots in the same nucleus were connected to each other.

      Concerning the appearance of the centrin signals we adopted the good suggestion by the reviewer and connected “paired” centrin signals by lines (Fig. 1E).

      • Do you have suggestions that would help the authors improve the presentation of their data and conclusions?

      There are a number of edits required on the text. Row numbers would have been helpful in pointing these out. I point some edits below, but thorough revision of the manuscript for grammatical and synthetic errors would be beneficial.

      • Cytokinetic segmeter - please replace with "segmented"

      • Please refer to Figure 1D when appropriate - there is quite an extensive paragraph describing the results shown on this figure, but it is only referenced at the start.

      • "..., as did the and the number of branches per nucleus,..." please rewrite as appropriate.

      We apologize for not providing line numbers, but have corrected the addressed points and applied a grammatical check throughout the manuscript. We have added additional references to Figure 1D (now Fig. 2A) in the text.

      Reviewer #1 (Significance (Required)):

      This manuscript could be interested to a wide audience interested in cell cycle, cell division, cell organization and organelle positioning, infectious diseases and microscopy. However, the introduction assumes that readers are somewhat experts in the malaria field. I suggest the authors include a brief introduction of the malaria life cycle, and a schematic representation of the division mode. This will help non-experts follow the narrative more easily.

      We are happy to read that the reviewer sees value of this study for a broader audience. Following the suggestion, we added a small schematic (Fig. 1A, lines 54, 62) highlighting the relevant steps of schizogony and expanded the introduction of the life cycle (line 46).

      This work rectifies long-standing inconsistencies observed by different experimental approaches in the nuclear organization of malaria parasites during schizogony. However, what the functional consequences of the alternative modes of spindle organization in malaria could be, are not clearly stated or discussed. In this respect, as it stands, the manuscript is rather descriptive and lacks mechanistic insight. Nonetheless, the data presented are of superb quality, and the manuscript represents a tremendous leap in structural insight and imaging resolution for the field of malaria. I find the data is suitable for publication albeit minor adjustments are made (specially to Figure 1 and/or the description of the results shown in Figure 1, for consistency).

      We agree that the value of this manuscript lies in the clarification of conflicting data, unprecedented structural insight, and providing a useful working model for the malaria parasite centrosome. Although this study is ultimately descriptive it forms the indispensable basis to generate more meaningful functional insight about centrosome biology and nuclear division. Some of the functional consequences worth considering are: i) The (at least) bipartite composition indicating that centrosome functionality is spatially spread throughout the nucleoplasm/cytoplasm boundary. ii) The delayed appearance of the centrin signal after tubulin signal allows the prediction that centrosome assembly is a staged process occurring over an elongated period of time. iii) The generally amorphous structure of the compartment predicts the involvement of yet to be uncovered matrix-like proteins harbouring microtubule nucleation sites. iv) Lastly, our model has important implications for the mechanism of centrosome duplication. In a centrosome containing centrioles (like in vertebrates), the duplication event can easily be explained by physical separation of the daughter and mother centrioles. Spindle pole body duplication in yeasts is achieved by de novo formation of a new one, which remains connected by a half bridge until it is split. The centriolar plaque organization revealed here suggests that we need an entirely new model of centrosome duplication (or splitting) to describe and understand this process in malaria parasites. We now address those points more explicitly in the discussion section (e.g. lines 375, 443, 467).

      **Referee Cross-commenting**

      I agree with all the other reviewer's comments. I'm glad the reviewers seem to be experts in the field of malaria cell division and have pointed out previous studies which were not appropriately referenced. I second those comments.


      Reviewer #2 (Evidence, reproducibility and clarity (Required)):

      **Summary:**

      The manuscript by Simon et al have used advance cell biology technology like STED, expansion and live cell imaging to decipher the configuration of microtubules, centrin and nuclear pore during unconventional cell division process in malaria parasite. They have shown the dynamics of centrin and its localisation with respect to centriolar plaque that is characteristic of these parasite cell during schizogony> They also implicate from their studies that there is extended intranuclear compartment which is devoid of chromatin

      **Major Comments**

      • Are the key conclusions convincing? Yes to some extent

      • Should the authors qualify some of their claims as preliminary or speculative, or remove them altogether?

      *Some part are preliminary and speculative as there is no solid data supporting it. Please see below

      • Would additional experiments be essential to support the claims of the paper? Request additional experiments only where necessary for the paper as it is, and do not ask authors to open new lines of experimentation.

      *Yes to substantiate their claim

      • Are the suggested experiments realistic in terms of time and resources? It would help if you could add an estimated cost and time investment for substantial experiments.

      *They can do these quite quickly less than a month

      • Are the data and the methods presented in such a way that they can be reproduced?

      *Yes

      • Are the experiments adequately replicated and statistical analysis adequate?

      *Yes

      The authors present beautiful imaging and some in depth structure using tomography and CLEM to show the location of centrin which is generally considered the marker for centrosome or Microtubule organising centre in malaria parasite. These approaches are still not been applied in Plasmodium and hence very informative. Though they present some advance microscopy but a lot of these concept for hemispindle were shown earlier in many light and super resolution microscopy studies. Authors claim that they are first to show that there is space between centrin and nucleus but it has been show previously in centrin studies in Plasmodium berghei using super resolution microscopy (Roques et al 2019 Fig1 and supplementary videos1&2) as well as expansion microscopy recently by group of Brochet etal 2021.

      We thank the reviewer for the appreciation of our work. We are, indeed, not the first to describe the gap between centrin and tubulin or the nucleus. We just aimed to reiterate this finding, also visible in our data, in order to transition to the analysis of nuclear pore positioning to clarify whether centrin is actually extranuclear. Nevertheless, we should have cited the Roques and Bertiaux et al. studies again in this context, which we have now rectified (line 252).

      In addition the microtubule dynamics was also recently shown with Kinesin5 live cell imaging for schizogony in Plasmodium berghei (PMID: 33154955) which author have omitted in their manuscript.

      We thank the reviewer for pointing out the Kinesin-5 study by Zeeshan et al., which we failed to cite and discuss. We now state the findings of this publication and put it into the context of our work (see also answer to next point). Microtubule associated proteins, such as the microtubule plus end tracking EB1 and the aforementioned Kinesin-5, are indeed useful markers to investigate microtubule dynamics leading to the interesting results shown by Zeeshan et al. Nevertheless, we want to point out that labelling microtubule associated proteins (MAPs) remains an approximation of the underlying microtubule organization. As the authors in Zeeshan et al. indicate by themselves, Kinesin-5 does not decorate axonemal microtubules or the membrane-associated microtubule structure formed during cytokinesis in very late schizont stages. Further, colocalization between alpha-tubulin and kinesin-5 in schizont-stage parasites is not complete indicating a preferential decoration of certain sections of the microtubule structures (possibly the microtubule ends), which could only be resolved by super-resolution microscopy. Using a live cell dye, such as SPY555-tubulin, which directly binds to microtubules will provide a uniform labelling of any microtubule species and hopefully prove useful to the field in the future. Lastly, we present time-lapse microscopy analysis of blood stage cells, contrary to single time point images of live cells, providing a quantified chronology of microtubule reorganization at single cell level (with time stamps). Therefore, we feel that our claim, although it should be relativized, is formally speaking accurate.

      It is also important that authors give valid discussion about previous studies on hemispindle, microtubule dynamics with respect to schizogony (PMID: 18693242; PMID: 11606229; PMID: 33154955) rather than giving the impression that they have given this concept first time on hemispindle dynamics and centrin location during schizogony.

      We agree that those studies should be discussed in more detail. We are grateful to the reviewer for pointing out the Fowler et al. 2001 (PMID: 11606229) study. They use an antibody against gamma-tubulin to demonstrate its presence at the apical pole of subpellicular microtubules (f-MAST) in the merozoite and cytokinetic stages (line 102). However, we were unable to reveal a specific gamma-tubulin staining using the antibody used by them in the preceding schizont stage. After trying many different commercial gamma-tubulin antibodies and attempting to generate our own we now finally observe a gamma tubulin localization at the poles of intranuclear spindles in schizont stage, although the only successful antibody still displays some background staining, possibly including cross-reactivity with alpha or beta-tubulin (Fig. S4, line 237).

      The highly insightful study by Mahajan et al. 2008 (PMID: 18693242) indeed suggests that centrin localizes away from the DNA and demonstrate the distinct localization from tubulin. They, however, likely due to the resolution limit of their microscopy techniques, speculate that the centrin signal is embedded in the membrane, while we could show by super-resolution and nuclear pore staining that centrin is distinct from the membrane (now Fig. 2A; line 257). The work done by Zeeshan et al. 2020 (PMID: 33154955) nicely shows dynamics of kinesin-5 in nuclear division. In schizont stages Kinesin-5 signal elongates and splits alongside the mitotic spindle with which it overlaps for the most part. Colocalization with centrin is less strong although the authors note some overlap. Our data suggest that centrin and tubulin are clearly distinct. In male gametes the authors show nicely time-resolved data of kinesin spreading along the elongating spindle, although hemispindles are not observed at this stage. We introduce and discuss these findings (lines 123, 432).

      The concept of bipartite centrosome is already been discussed in Toxoplasma and the claim by authors in Plasmodium presented here is not substantiated experimentally. They showed that centrin is part of outer region while they do not show with any marker for the inner region. It will be very helpful if the authors use gamma tubulin or MORN1 to show the location with respect to centrin and microtubule. In the absence of this localisation the claims are preliminary and speculative. If the centrosomal protein complex is not involved in microtubule nucleation, then how the nucleation is happening. What are the molecules present in this amorphous matrix? It will be great to check the location of gamma-tubulin or some inner centrosome molecules described in Toxoplasma that is deemed to be MTOC.

      We share the opinion that our Plasmodium data should be compared to Toxoplasma, while still being assessed independently. Despite Toxoplasma belonging to the apicomplexan the conclusion that their centrosomes should be organized in a similar fashion is by no means self-evident considering for example their significant evolutionary distance. Actually, several noteworthy morphological differences have already been well documented. i) Toxoplasma MTOC does contain centrioles in the outer core which is coherent with the centrin and gamma-tubulin localization in this region. ii) Toxoplasma MTOC contains an additional nuclear membrane protrusion enclosing the inner core. iii) mitotic microtubules in Toxoplasma are thought to penetrate the nuclear membrane to connect to centromeres. iv) the inner and the outer core are both extranuclear and therefore not to be equated with the intranuclear compartments. We now expand a bit on the discussion of the aforementioned differences (line 382). Nevertheless, we thank the reviewer for making us realize that the term “bipartite” is a poor choice to describe the centriolar plaque organization in this context. Therefore, we replaced it in the abstract (line 29) and the main text (line 375).

      We acknowledge the fact that it would be desirable to show a marker localizing to the intranuclear compartment, and not only through visualizing the microtubule nucleation complex (Fig. 4A-B) and the positioning of the microtubule ends in this region (Fig. 3A). Concerning MORN1 we found no indication in the published localization data that it is, like in Toxoplasma, associated with the nucleus in Plasmodium species, where it is only found associated with the budding complex (and we are currently unable to procure an antibody) (line 422). We have attempted gamma-tubulin visualization on many occasions throughout the project (transgenic parasite lines, commercial antibodies, self-made antibodies) and only recently found an antibody revealing some specific signal. Indeed, we found localization at the poles of the spindles i.e. the intranuclear compartment (line 237). Unfortunately, this “best-possible staining” still showed some unspecific spindle staining likely resulting from cross-reactivity with alpha- or beta-tubulin causing us to put these data into the supplements (Fig. S4).

      We had more luck with attempting a “new” type of staining, recently used in Plasmodium (Bertiaux & Balestra et al. 2021) using a fluorophore-coupled NHS-Ester in expanded samples. This chemical unspecifically stains proteins and revealed that the centrosomal region contains an exceptionally protein dense “hourglass-shaped” structure (Fig. 3F-H). Since the outer part of this structure colocalizes with centrin and the inner part overlaps with microtubules we assume that the centrosomal complex stretches throughout the nucleo-cytoplasmic boundary and fills part of the intranuclear compartment (line 320). Especially the highly protein dense region at the neck of the “hourglass” seems very coherent with the nuclear membrane embedded electron dense region which can be seen in electron microscopy (e.g. Fig. 3E & 4B). We feel that this staining strongly supports the presence of this novel intranuclear compartment.

      The expansion microscopy is very nice and some of it presented in supplementary can be moved to main section.

      Thanks for sharing our enthusiasm about this imaging technique. We have now selected a representative image of a hemispindle and mitotic spindle stage nucleus imaged by U-ExM and added it to the main section (Fig. 2B, line 231).

      The localisation CenH3 is bit puzzling as it has been shown that centromere/ kinetochore cluster and are present during early and mid schizogony. The various foci with respect to nuclei are not what has been seen previously. Please discuss the difference in these two findings.

      The localization pattern can easily be explained by the increased resolution of STED nanoscopy used in this study. Previous studies (e.g. Hoeijmakers et al. 2012 and Zeeshan et al. 2020) used classical confocal microscopy. Under those imaging conditions the individual foci seen here can´t be resolved and would, in accordance with the other studies, appear as one cluster. We slightly modified the text for more clarity (line 247).

      Reviewer #2 (Significance (Required)):

      • Describe the nature and significance of the advance (e.g. conceptual, technical, clinical) for the field.

      * This is more technical advancement on the subject of centrin by using STED, tomography and CLEM.

      • Place the work in the context of the existing literature (provide references, where appropriate).

      * This work has relevance relation to cell division during schizogony in asexual stages in par with Toxoplasma or in Apicomplexa in general

      • State what audience might be interested in and influenced by the reported findings.

      Working with Apicomplexa, Protist, cell division and mitosis.

      • Define your field of expertise with a few keywords to help the authors contextualize your point of view. Indicate if there are any parts of the paper that you do not have sufficient expertise to evaluate.

      Working on Cell division in Plasmodium.

      **Referee Cross-commenting**

      I agree with the reviewers and some of the experiment suggested and the minor details have to be addressed. There are some loose ends and these suggestions will enhance clarity of the data. It is a very nice study and some of the comments suggested by reviewers will improve the manuscript. __

      Reviewer #3 (Evidence, reproducibility and clarity (Required)):

      **Summary:**

      The centrosome is the primary microtubule-organizing center (MTOC) in eukaryotic cells that nucleate spindle microtubules necessary for chromosome segregation. In most eukaryotic cells, the canonical centrosome is composed of centrioles surrounded by an electron-dense proteinaceous matrix named the pericentriolar matrix (PCM) competent for microtubule nucleation mitotic spindle assembly. Following the breakdown of the nuclear envelope breakdowns, the mitotic spindle microtubules gain access to the kinetochores of the condensed mitotic chromosomes. Once the mitotic spindle is fully developed, centrosomes are at opposite poles of the cells, and chromosomes are pulled toward opposite poles. Cell division completes with cytokinesis resulting in the active formation of two nuclei within two daughter cells. Interestingly, during its asexual replication cycle, the malaria parasite Plasmodium falciparum undergoes multiple asynchronous rounds of mitosis with segregation of uncondensed chromosomes followed by nuclear division within an intact nuclear envelope. The multi-nucleated cell is then subjected to a single round of cytokinesis that produces dozen of daughter cells. We know about the Plasmodium centrosome is that it is made of an acentriolar structure embedded in the nuclear envelope and serves as MTOC during cell division. However, the biogenesis and regulation of the Plasmodium centrosome are poorly understood. Given the peculiarity of the cell division in Plasmodium parasites, understanding the molecular mechanisms that drive and regulate MTOC duplication and maturation could unveil novel targets for the treatment of malaria. In this study, Simon et al. successfully applied challenging and cutting-edge microscopy techniques to monitor the dynamic formation of the spindle microtubules and MTOC during Plasmodium intraerythrocytic mitosis. In addition, they remarkably combined stimulated emission depletion (STED) with ultrastructure expansion microscopy to define an uncharacterized intranuclear compartment devoid of chromatin as the nucleation site of nuclear microtubules. And lastly, the authors adapted an in-resin correlative light and electron microscopy (CLEM) approach to define the centriolar plaque position in a novel intranuclear compartment with centrosomal function.

      **Major comments:**

      1. In the methods section, it is stated that across this study, three different anti-tubulin antibodies (alpha-tubulin B-5-1-2, alpha-tubulin TAT1, beta-tubulin KMX1) were used, and two anti-centrin antibodies (TgCentrin1 and PfCentrin3) were used, one of which seems to have been generated in this study (anti-PfCentrin3). It is unclear in the figures or results section when each of these antibodies was used, and the authors should give a rationale for using multiple antibodies in combination.

      To label microtubules we used the mouse anti-alpha-tubulin B-5-1-2 (Sigma, T5168) antibody throughout the study. Except for U-ExM were we added two additional primary antibodies against tubulin. Due to the expansion of the samples the antibody binding epitopes are stretched out in space. This causes a significant reduction of local epitope concentration (expansion factor 4.5 in all directions results in ~ 80-fold increase in the volume), which can reduce the signal intensity. Adding multiple antibodies binding different epitopes of tubulin can compensate for this dilution effect to some degree, as has been shown before by Gao et al. 2018. At the same time the expansion contributes to the accessibility of the usually densely packed tubulin epitopes within the microtubule polymer, which certainly adds to the success of U-ExM. What the respective contributions of those effects are is not clear, but we found superior signal-to-noise ratios when combining three tubulin antibodies instead of using one. The TgCentrin1 antibody was only used in Fig. 2C (now Fig. 3B) and validated the localization pattern of our new PfCentrin3 antibody we used in the other pictures. We now provide clearer description of antibody usage in the methods section and a new supplemental table.

      The anti-PfCentrin3 antibody seems to have been generated for this study. If this is the case, the authors should provide evidence that this antibody binds to the recombinant PfCentrin3 it was raised against and binds PfCentrin3 in parasite lysates.

      The anti-PfCentrin3 antibody was, indeed, produced for this study and we should have provided our western blot data right away. We now show the requested blot, which shows bands at the appropriate size in parasite lysate as well as for the recombinant protein, in the supplements (Fig. S2, line 178).

      In the first paragraph of the Results section, the authors' remark of centrin foci that they are "...only detectable later (Mov. S2) or sometimes not at all." In Figure 1 A-C, it is implied that the first observed division is the first nuclear division of that parasite. Given that some nuclei do not have a visible centrin focus, it cannot be concluded with certainty that these parasites only contain a single nucleus and that this is their first division. The authors would need to include a quantifiable DNA stain to show this unequivocally to show a single nucleus. It has undergone DNA replication, similar to Klaus et al., 2021 BioRxiv paper. In the absence of a DNA stain, the authors should reword to clarify that this is the first observed division and speculate that it is the first division of that nucleus, but the authors should draw no firm conclusions about the first division.

      Indeed the variability in protein levels that can result from exogenous expression can lead to some cells not showing clear Centrin1-GFP foci. Although this is a rare event we wanted to acknowledge this observation. The live cell microtubule staining using Spy555-Tubulin we use is, however, highly specific and sensitive and would stain any nucleus undergoing division including the first one. If there would be more than one nucleus in the observed cell it would unequivocally show two clearly separated tubulin signals (hemispindle or mitotic spindle). To illustrate this we added Fig. 1B (line 148) showing two live parasites stained with SPY555-Tubulin plus a Hoechst-based dye showing one or two nuclei alongside the corresponding tubulin signal. We modified the text to clarify how we stage the parasite for time-lapse acquisition (line 154). We already extensively experimented with state of the art fluorogenic live cell DNA dyes (e.g. from Spirochrome and the Johnsson group) to visualize the nuclei directly in time lapse microscopy, but even at minimal concentrations they all significantly inhibit mitotic progression. We also add this information in the main text (line 150).

      In the first paragraph of the Results section, the authors write: " We quantified the duration of hemispindle, accumulation and anaphase stages ...." Anaphase spindle fibers means that the sister chromatids are separated. In the absence of a centromeric marker like NDC80, it doesn't seem easy to claim the anaphase stage. The authors should write " extended spindle." The authors might also consider using the term collapsed spindle instead of accumulation to reflect the dynamic of the intranuclear microtubules during the blood-stage replication. The same modification should be made for Figure 1B, so we read " hemispindle, collapsed spindle and extended spindle."

      We thank the reviewer for this suggestion, which is very much in line with a comment by Reviewer 1 on the definition of anaphase. We acknowledge that the term is ill-defined here. Further, it suggest a mitotic morphology analogous to the one observed in “classical” models (prophase, metaphase, anaphase,…), which is not fully appropriate. Consequently, we decided to adapt the suggested terminology in Fig. 1 (and also new Fig. 2) and in the text (line 160).

      Based on the evidence in this study, it cannot be stated unequivocally that the centrosome is entirely extranuclear, at least not as it is implied in Figure 3C. In Supplementary Figure 4, the microtubules appear to be extruding from a circular structure that may either be intranuclear or span the nuclear envelope. In Supplementary Figure 6, the structure pointed to as the centrosome appears to be embedded within the nuclear membrane with a top structure on the cytosolic side of the nuclear envelope. Thus, the best support for an extranuclear centrosome comes from the CLEM images. Still, it is noteworthy that the double membrane of the nuclear envelope is not visible on this slice in the region where the centrin fluorescence is found. Considering some of the fluorescence pixels for centrin are outside the parasite plasma membrane, and some of the Hoechst pixels are outside the nuclear envelope, this data does not show unequivocally that centrosomes are entirely extranuclear. However, this argument would be strengthened if the authors performed a proteinase K protection assay (or something similar) to determine if Centrin1 and Centrin3 are exposed to the cytosol. However, in the absence of that or further evidence, the authors should dampen their claims about the centrosome being exclusively extranuclear, as represented in the schematic in figure 3C.

      We thank the reviewer for this comment, which highlights an issue in our communication of our working model of the centriolar plaque. At no point we intended to claim that the centrosome is exclusively extranuclear. Rather, centrins, which are currently the only reliable marker proteins, localize to a subcompartment of the extranuclear region of the centriolar plaque. Additionally, the centrosome clearly contains an intranuclear region. The composition of this intranuclear compartment is elusive, except that it harbors microtubule nucleation sites. Indeed, our model in Fig. 3C (now Fig. 4C) is misleading and not well annotated. The newly added NHS-Ester staining fortifies this claim (Fig. 3F-H. Consequently, we corrected our working model by adding an explicit figure labelling (now Fig. 4C).

      We apologize for the misleading labelling in Fig. S6 (now Fig. S7). The green arrow was intended to point out the electron dense region associated with the nuclear membrane, which has been seen in previous studies, and was not intended to represent the entire extended centriolar plaque. If anything, this smaller region might provide the link between the intra and extranuclear compartments that the reviewer also identified in Suppl. Fig. 4 (now Fig. 2D). We modified the annotation of the Fig. S7 and Fig. 4A-B accordingly, labelling it the “electron dense region”. More importantly, we hope that our newly added data using NHS-Ester staining of protein dense regions (Fig. 3F-H) highlights the spread of the centrosome across the nucleo-/cytoplasmic boundary more clearly.

      Considering whether centrin is actually extranuclear, we feel that the data shown in Fig. 2A (now 3A) is convincing. We have, however, added two panels of the relevant regions showing centrin localization respective to the nuclear pore and adjusted the contrast as we acknowledge the limited “visibility” within the unadjusted panels. The fact, that the centrin signal slightly overlaps with the nuclear envelope in CLEM images can be explained by the relatively poor resolution of the widefield microscope we had to use to image the sections. From the other super-resolution images in the manuscript, we know that the perimeter of the better resolved centrin signal is significantly smaller. Otherwise one had to assume from the CLEM data that centrin is also in the cytosol of the red blood cell and that DNA is localized outside the nucleus. On a similar note the fluorescence image is, contrary to the tomography image, a single slice since the thickness of the sample section (about 200nm) is significantly below the z-resolution (about 500nm) of a fluorescence microscope.

      Throughout the study, the level of biological replication is unclear. The authors rigorously include all the data points for each of their graphs and the total number of images/videos quantified. And what needs to be added, in either the figure legends or a methods section, is the number of biological replicates for each of these measures came from.

      We have added the number of replicas in the figure legends.

      **Minor comments:**

      STED is present as an acronym in the abstract and should be spelled out in full and clarified that it is a super-resolution microscopy technique.

      We opted to remove STED from the abstract (leaving it at super-resolution, which includes expansion microscopy) to avoid disrupting the “flow” of the abstract and now spell out the acronym at the first mention in the introduction (line 127).

      The second paragraph of the Results section states that ring and early trophozoite stage parasites do not express tubulin or centrin. Still, only an early trophozoite is shown in Supplementary Figure 2. Therefore, the authors should either include a similar image of a ring-stage parasite or remove ring-stage parasites from that statement.

      We have removed the ring stages from the statement.

      The second paragraph of the Results section contains the sentence, "At which point tubulin is reorganized into the bipolar microtubule array, which then forms the mitotic spindle cannot be resolved here." The authors are implying that the point at which tubulin is reorganized into the microtubule array, which goes on to form the mitotic spindle, cannot be resolved here. This is not particularly clear, though, and this sentence could be reworded for clarity.

      We reformulated the sentence to clarify the point we failed to make with the previous wording (line 188).

      The second paragraph of the Results section contains some statements about the results without referencing the figures that these statements come from. The authors should clarify this to make clear which figures each statement refers to.

      We added more references to the appropriate figure throughout the paragraph (lines 188, 219, 223).

      In the third paragraph of the introduction section, the authors write, " Centriolar plaques seem partially embedded in the nuclear membrane, but their positioning relative to the nuclear pore-like "fenestra" remains unclear." Unfortunately, the lack of reference did not allow me to understand if the authors state literature or comment on past published results.

      We added the reference which was incorrectly positioned before the sentence instead of at the end (line 82).

      the authors could add some references:

      • Second section of the introduction: " the 8-28 nuclei are packaged into individual daughter cells, called merozoites ( Rudlaff et al. 2019 PMID: 31097714)

      • Third section of the introduction: " The centrosome of P.falciparum is called centriolar plaque" ( Arnot et al. 2011, Sinden 1991a); " the nuclear pore-like "fenestra" remains unclear (Wall et al. 2018; Zeeshan et al. 2020).

      • Fourth section of the introduction: " tubulin antibody staining are extensive structures measuring around 2-4um ( Ref?)

      • When the authors introduce subpellicular microtubules of segmented schizonts, a reference to a study that shows these structures should be included.

      • A previous study that shows the distinct structure of microtubule minus ends should be cited when this structure is described.

      • Third section of the results, the authors should cite Bertiaux et al. 2021 with the Gambarotto et al. 2019 paper regarding U-ExM.

      We apologize for missing some important references or putting them in the wrong position. We now added all the references or cite them again at the appropriate locations throughout the text.

      Figure 1E shows hemispindle and mitotic spindle lengths of U-ExM expanded parasites, but the position within the figure and figure legend implies that these lengths were determined unexpanded parasites. Therefore, it should be stated in the figure legend that these measurements come from U-ExM expanded parasites. Moreover, I encourage the authors to include U-ExM images in the main figures. The images are beautiful, represent a significant technical achievement, and directly relate to Figure 1E. To the best of my knowledge, this is only the second study to perform expansion microscopy on Plasmodium and the first to use PFA-fixed parasites and a nuclear stain. It would be valuable for the Plasmodium and ExM communities to see this technical advancement represented in the main text.

      We thank the reviewer for the appreciation of our ExM data and added it to Fig. 2B before the quantification of the microtubule length and number and added the information to the legend.

      In the second paragraph of the Results section, the authors write, " but clearly display the microtubule cytoskeleton associated with the inner membrane complex." It would bring clarity to define in few words what the IMC is.

      We included a short definition of the IMC (line 223).

      The methods section details that the length of microtubules was determined by dividing the observed values by an expansion factor of 4.5. If the authors recorded the expansion factors of their gels, this data should be included, and how it was recorded should be stated in the methods. If not, the authors should include the rationale of using an expansion factor of 4.5 as this is slightly different from the previously published expansion factor of P. falciparum of 4.3.

      We recorded the expansion factor by measuring the gel size pre and post expansion with a ruler and found a factor of 4.5 on average. We added this information in the methods (line 688).

      There are several parasite lines used in this study, and some figures are not clear what parasite line was used. Could the authors please include the parasite lines in the figure legends of Figure 1 D-F, Figure 3, Supplementary Figures 1-2, and Supplementary Figures 4-7?

      We added the parasite line information in the legends as requested.

      Nuclear pore complexes, of which Nup313 is a component, can have cytoplasmic, integral, and nuclear-facing components. If it has been shown previously that PfNup313 is the homolog of Nup214 in vertebrates present on the cytosolic side of NPC, this should be stated. If not, then it should be clarified that it is unknown whether Nup313 faces the cytoplasm, nucleus, or is embedded in the NE, as this has implications for the colocalization of Nup313 and Centrin.

      Nuclear pore proteins are very poorly conserved in P. falciparum and Nup313 has only been recently identified as such (Kehrer et al. 2018) mainly by the presence of FG-repeats (as for all the other newly defined proteins). The only related ortholog that can be found through BLAST search against humans, yeasts, and Arabidopsis is Nup100 from S. cerevisiae. ScNup100 is a central pore localizing protein but the sequence similarity to Nup313 is low. We are not aware of any findings showing relatedness to vertebrate Nup214, while sequence analysis rather indicates the absence of orthology. To clearly demonstrate the individual positioning of the few known Nups within the parasite´s nuclear pore complex would require a dedicated long-term project. However, due to the presence of FG-repeats one can assume that it is part of the central FG-Nups layer rather than of the intranuclear basket or the cytoplasmic filaments (line 255). Therefore it would localize more closely to the nuclear envelope than the latter. Either way, a clear gap between centrin and Nup313 signal can be identified and colocalization has not been observed. These data indicate that the exact position of Nup313 on the cytoplasmic, integral or nuclear-facing site is not decisive for the conclusions made in this study and our observations preclude scenarios where centrin is not extranuclear.

      It seems from the image in Figure 2C that DRAQ5 and Hoechst have at least visually indistinguishable localizations. Have the authors taken any STED deconvolved images of nuclei stained with both Hoechst and DRAQ5? Considering the striking increase in detail of the Hoechst signal in STED deconvolved images, it may be informative both to this study and to people who work on chromatin organization what the chromatin staining looks like in the absence of bias towards chromatin state.

      It would, indeed, be interesting to analyse chromatin organization by those means, but DRAQ5 is not a STED compatible dye, highly prone to bleaching, and therefore not suitable for such analysis. Being an infrared dye DRAQ5 is compared to the UV excited Hoechst also yielding a reduced spatial resolution, which is limited by the emitted wave length.

      For the tomography and TEM images, the centrosome is indicated with an arrow, but it isn't entirely clear what that arrow is pointing to for some images. It would be clearer if the centrosome were outlined in green, like the NE, rather than just an arrow. This is particularly important for Supplementary Figure 4, where to my eye, it appears that the microtubules inside the chromatin-free region are coming directly out of a circular structure, which could be interpreted as the centriolar plaque.

      The reviewer is right to point out the use of arrows for centrosome annotation. It was intended for orientation of readers to indicate the “likely position of the centriolar plaque” since a clear boundary around the centrosome can´t be defined. It would have been more precise to indicate that the arrow is pointing at the electron dense region associated with the nuclear membrane, which is of course only one of the sub-regions of the centrosome. This is particularly important since we want to emphasize the extended dimensions of the centrosome. Consequently, we modified the annotation to “electron dense region” in all concerned figures and corresponding legends.

      The ordering of Figure 2A-C seems to imply that the DNA-free region was measured in the STED deconvolved images, but the methods imply that it was in the confocal images. The authors should clarify this in the figure legend or by rearranging B and C's order.

      Hoechst signal was indeed acquired and measured in confocal mode and to avoid confusion we have changed the order of the figures (now Fig. 3B-C) as suggested.

      The authors should provide some more detail on how the DNA-free zone was measured. For example, was it measured on single slices or maximum intensity projections? Was it measured from the middle, far, or near side of the centrin focus? Etc.

      The measurement was carried out in the slice where the DNA-free zone was in focus. Depth was measured from below the centrin signal until the “bottom” of the DNA-free zone. We hoped that the little schematic above the figure would clarify this question, but acknowledge the need to more clearly explain the measurement method, which we now do in the corresponding figure legend (Fig. 3C).

      The methods state that the mCherry signal in figure 2C was detected using a mCherry nanobody. This should be clarified in the figure legends as it currently seems as if we see endogenous mCherry fluorescence.

      The visible signal is certainly a combination of the mCherry plus the “boosting” effect from the Atto594-coupled nanobody that we added. Clearly, this should be mentioned in the figure legend, which we now do.

      The data in Supplementary Figure 4 seems vital to the interpretation of the study. Therefore, for clarity, I encourage the authors to include Supplementary Figure 4 in Figure 2.

      We share the reviewers view on these data and moved them to the main figures (now Fig. 3D).

      In the last sentence of the discussion, it is unclear what the authors mean by how the nuclear compartment "splits," could they please clarify?

      We were referring to the event of centrosome duplication, which has to occur during nuclear division. In a structure without centrioles or a spindle pole body structure forming a half bridge we therefore need a new model to explain how the two poles of the spindle are formed. Potential modes are splitting or de novo assembly. This aspect, as also pointed out by other reviewer, warrants a bit more explanation, which can now be found in the discussion (line 468).

      If the pArl-PfCentrin3-GFP plasmid or pDC2-cam-coCas9-U6.2-hDHFR have been published previously, the respective studies should be cited. If not, the study where the vector backbones were first established should be cited.

      We have now cited the original studies publishing the vector backbones for the first time in the methods (lines 490, 501).

      From the current text, it is not clear that the Nup313 tagged parasites also had a GlmS ribozyme. It is shown in Supplementary Figure 3, but the authors should clarify either in the text of the results, or figure legends, that this parasite line was Nup313_3xHA_GlmS

      The Nup313-tagged line indeed has a glms ribozyme after the HA-tag, which we now mention in the figure legends.

      In the plasmid constructs section of the methods, the authors list several primers by number but not by sequence. Instead, the authors should include the sequence and orientation of each of the primers mentioned in a table as supplementary data.

      This is a good suggestion. We have generated a table at the end of the supplementary data file and on this occasion we also added tables of all the antibodies and dyes used in this study.

      The authors should cite the study where the TgCentrin1 antibody was generated and provide the Rat anti-HA 3F10 antibody catalog number, as catalog numbers are provided for other commercial primary antibodies.

      We now provide the missing catalog numbers in the supplemental data table.

      There is an issue with the formatting of the journal-title in the Kukulski et al. reference.

      Thank you for noticing this error, which we now corrected.

      Reviewer #3 (Significance (Required)):

      The genome of P. falciparum is fully sequenced; however, over 50% of encoded proteins are of unknown function, with many of these proteins unique to Plasmodium parasites. By identifying and characterizing essential biological processes, especially those divergent from human host cell processes, we will formulate ways to interfere with them by developing novel antimalarial drugs. The process of Plasmodium cell division differs from the classical cell cycle of its human host. In the study led by Caroline Simon, authors successfully utilized recent developments of super-resolution microscopies on expanded parasites to identify novel features of cell division machinery of the malaria blood-stage parasite.

      Simon et al.'s work highlight the growing interest in the diversity of cell division mode of Apicomplexan parasites, which will likely contribute to a deeper understanding of the origin and functional role of the centrosome in eukaryotic life. In 2020, the Open Biology journal published a unique article collection named Focus on Centrosome Biology showcasing research that advanced our knowledge on centrosome function, evolution and abnormalities. In addition, the reported findings will interest research groups studying cell cycle regulation and evolution beyond the field of parasitology.

      Our lab studies the peculiar cell cycle of Plasmodium falciparum to gain a functional understanding of mechanistic principles of nuclear envelope assembly and integrity during the cell division of the human malaria parasite.

      **Referee Cross-commenting**

      It is a wonderful study, and once all reviewer's comments are addressed, the manuscript should be in excellent shape for publication.

    1. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed ornare sem

      I'm annotating the text using hypothes.is - it looks like you cannot annotate an image with this. You have to sign up to annotate text like this and log in.

    1. Reviewer #1 (Public Review):

      Energy in the form of ATP is key for any function of the cell. Most organisms have a series of protein complexes in their membrane that transport proton against a gradient using the redox reactions and this is then used by the enzymes called ATP synthases that generate ATP, the energy needed to sustain life. The first enzyme in this electron transport chain is called complex I and uses the oxidation of NADH to the reduction of ubiquinone, which is coupled to proton translocation. The unique shape of this complex had been realized from early electron microscopy studies and they can be divided into a soluble domain that comprises all the co-factors needed for electron transfer and the membrane domain that has modules for proton translocation. Depending on the organism, this complex can be compact with only the core 14 subunits as found in many bacteria or decorated with a number of other subunits as found in eukaryotes. These additional subunits are implicated in the stability and regulation of the complex. With the advances in cryoEM, in the last few years there has been a flurry of structures from different organisms, the composition and arrangement of subunits, potential functional states and description of the mechanism. An important factor to consider is that these complexes are labile and the detergents which are used for purification can have a profound effect on the structure as well as any conclusion drawn from it. In the field of Bioenergetics, one of the key questions that have fascinated scientists for a long time is how the electron transfer is coupled to proton translocation and few different hypotheses has been put forward.

      Adding to the growing number of complex I structures, the manuscript by Kolata and Efremov discusses the structure of a complex I from Escherichia coli, a well-studied enzyme and amenable to easy genetic engineering, essential to verify proposed mechanisms. The key observations of the current work and future prospective are discussed below.

      The E. coli complex I is known to be labile and previous attempts to crystallize the whole complex had yielded a low-resolution structure of the membrane domain. The authors have overcome this by introducing a tag in the bacterial genome using CRISPR technology minimizing the number of steps needed for enrichment. The manuscript also addresses one of the concerns of the complex I structures i.e., effect of detergent environment by determining the structure of a mesophilic bacterial complex I in nanodisc. Despite the presence of the lipidic environment, substantial number of particles have only the soluble peripheral arm and only half the number of particles exist as full complex indicating the extreme instability of this complex. By extensive computational classification to address heterogeneity, the maps have been improved both for the full complex and the peripheral arm at a very high resolution (2.1 Å), allowing to build almost a complete protein model as well as a number of water molecules, key in understanding the mechanism. Differences in E. coli complex with structures of other enzymes are discussed, in particular the junction of the peripheral arm and the membrane domain and TMH8 in the NuoM subunit of the membrane domain. With all the structural and biochemical details, the authors propose a coupling mechanism that is different from those proposed previously and involves the idea that protons enter the ubiquinone cavity via the periplasmic or intra-membrane side (in organelles) and this is coupled to 3 protons being transported by the membrane domain in the opposite direction. Thus, for each reduction of ubiquinone 4 protons are translocated in two pumping cycles.

      While the mechanism is simple and elegant, the absence of a structure with bound ubiquinone (the cavity for ubiquinone is inferred from other structures) and with NADH, different states observed by classification, dissociation of the peripheral arm - all of which asks for some caution and is a caveat. Nevertheless, these structures are important and will be the platform for further studies (addition of NADH, ubiquinone, pH etc.,) and the proposal can be verified by further biochemical and computational studies.

    2. Reviewer #2 (Public Review):

      Summary of what the authors were trying to achieve:

      Kolata and Efremov set out to achieve a cryoEM structure of functional E. coli respiratory complex I (proton-pumping NADH-ubiquinone oxidoreductase) reconstituted in lipid nano-discs by single particle cryo-electron microscopy (cryoEM).

      Strengths and weaknesses of the methods and results:

      A strength of the paper is that E. coli respiratory complex I is one of the most studied homologues of the enzyme with many important functional and mutagenesis studies published. For this reason, the complex I field has been anticipating the structure for some time.

      A strength of the paper is the production of a E. coli cell line harboring a Twin-Strep tag on the complex I subunit NuoF using the Crispr-Cas9 system. This allows the authors to develop a single step purification of the complex and will be very useful for any future work on E. coli complex I.

      A strength of the paper is the multiple methods used to test the integrity of the nanodisc reconstituted complex (i.e., size exclusion chromatography and mass photometry) and the functional assays demonstrating inhibitor sensitive NADH:Q1 oxidoreductase activity.

      A strength of the paper is the high-resolution structure of the peripheral (cytoplasmic) arm of the complex. This structure reveals several features unique to complex I and suggests different strategies for stabilization of the peripheral arm subunits have evolved in different lineages.

      A weakness of the paper is the disruption of the complex during cryoEM grid preparation resulting in about half of the observed particles missing the membrane arm and likely also contributing to the disorder and biased orientation seen in the intact complexes. This leads to poor density in the membrane arm for all of the intact complex I structures presented and large variations in the local resolution of the membrane arm focused refinement.

      A weakness of the paper is the disorder of important functional regions of the complex, namely the NuoH TMH1, whose disorder is unique to these nanodisc E. coli structures, and the NuoA TMH1-TMH2 loop. As the NuoH TMH1 forms part of the entry to the quinone tunnel of the complex, its absence in the structure leads to concerns regarding the function of the nanodisc preparation. Its absence it curious as this suggests flexibility of the helix, as pointed out by the authors, but the authors also state that there is not enough room in the nanodisc to accommodate this helix (given the visible density for the lipid and membrane scaffold protein). These observations suggest denaturation or unfolding in this region of the complex as opposed to simple flexibility. Unfortunately, the NADH:Q1 functional data do not fully address these concerns at Q1 is far more soluble that the native Q8 substrate of the complex. Although the Q1 activity is sensitive to the inhibitor Piericidin A, which clearly demonstrates that the Q1 reduction is occurring in the native quinone binding site as Piericidin A binds specifically at that site, this does not preclude the possibility of Q1 accessing this binding site via a different path. In fact, the structures indicate that given the flexibility in the connection between peripheral and membrane arms of the complex, the quinone binding site is likely open to the cytoplasm. This leads the authors themselves to conclude that the structures presented are likely disrupted/uncoupled states in which the energy converting mechanism of the complex is not likely possible.

      A weakness of the paper is the building of atomic models into regions of the map which do not contain sufficient detail to warrant atomic models. This is particularly the case for the intact models of complex I as well as the membrane arm focused maps and results in low map-model correlations (0.58-0.71). The models were clearly highly restrained during refinement, resulting in good geometry, as is necessary for low resolution regions. But being able to restrain the geometry is not sufficient for placing atoms into regions where the density is weak or absent. If additional information was used in building/constraining the model, such as the X-ray structure, the regions of the model that are biased towards the X-ray structure model needs to be made clearer. Also, in several places in the membrane arm map residues bulge out of the density (side chain and main chain) leading to possible frame shifts with respect to the match between subsequent residues in the model and the map (see NuoM Ile168 for example).

      A weakness of the paper is that several specific claims are made about the positions of side chains but, when investigated, the density for those side chains is poorly resolved. An example of this is NuoH Lys274, which is in a low-resolution region of the map and although is fit as well as possible must be considered low confidence given the local resolution (nearby residues Phe277 and Phe282 have almost no side chain density for example).

      A weakness of the paper is that the conformational changes seen between the membrane and peripheral arm of the complex in the different 3D classes are difficult to interpret. It is unclear if they are mechanistically significant or, perhaps more likely given the amount of broken complex observed, due to partial disruption of the complex before it completely breaks apart.

      A strength of the paper is the interesting and original mechanistic proposal put forward by the authors. But a weakness is that it is unclear how this proposal stems from the structural data presented. Also, the arguments presented are difficult to follow in their current form and warrant a more detailed discussion with the requisite thermodynamic treatment. This may warrant a more complete discussion in an appendix or unless the authors can more convincingly show how the data presented in the paper suggests their proposed mechanism perhaps a separate review article. Furthermore, the proposed mechanism, as presented would make a simple prediction that in the absence of NuoM and NuoL (or equivalent subunits in other species) complex I would not pump any net protons. Experiments that are relevant to this prediction have been done in E. coli (NuoL deletion) and Y. lipolytica (nb8m deletion that results in loss of both NuoM and NuoL subunits). See https://pubmed.ncbi.nlm.nih.gov/21417432/ and https://pubmed.ncbi.nlm.nih.gov/21886480/. In both cases the complex is still able to pump protons. The behavior of the NuoL deletion in E. coli is reconcilable with their proposed mechanism as NuoM is still present, however, the case of the nb8m deletion in Y. lipolytica is more difficult to reconcile with their proposed mechanism. The authors would need to address these experiments in order to include their proposed mechanism.

      Appraisal of whether the authors achieved their aims, and whether the results support their conclusions:

      Overall, despite the many strengths of this paper detailed above it is unclear whether the authors achieved their goal of a structure of functional E. coli respiratory complex I reconstituted in lipid nano-discs. It appears that under the current grid preparation conditions that the complex is under excessive stress resulting in partial denaturation and partial-to-complete dissociation. Given the clear biophysical data presented on the intactness of the complex in solution, this disruption likely occurs during grid preparation and further optimization of grid conditions may resolve this issue. With the current maps more work needs to be done to improve the map-to-model correlation and to clearly indicate the regions in the models where this correlation is low.

      Likely impact of the work on the field, and the utility of the methods and data to the community:

      As the first structure of respiratory complex I from the important model organism E. coli this work will have a big impact on the field. This is due to the history of studies on complex I that have been performed using this organism. The structure of the peripheral arm presented here is itself a major advance for this field and presents several important new insights into the evolution of complex I in different lineages. Due to the problems outlined above the structure of the membrane arm and proposed mechanism are more difficult to evaluate and if the limitation of the models are not made more clear this could lead to misinterpretation by non-experts in the structural biology.

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      Curator: @Naa003

      SciCrunch record: RRID:AB_221569

      Curator comments: GFP Tag Polyclonal Antibody Thermo Fisher Scientific Cat# A-11122 also A11122


      What is this?

    2. RRID:AB_2534134

      DOI: 10.1002/cne.24428

      Resource: (Molecular Probes Cat# A-11122, RRID:AB_221569)

      Curator: @Naa003

      SciCrunch record: RRID:AB_221569

      Curator comments: GFP Tag Polyclonal Antibody Thermo Fisher Scientific Cat# A-11122 also A11122


      What is this?

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      DOI: 10.1002/cne.24147

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      What is this?

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      Resource: (Molecular Probes Cat# A-11122, RRID:AB_221569)

      Curator: @Naa003

      SciCrunch record: RRID:AB_221569

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      What is this?

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      SciCrunch record: RRID:AB_221477

      Curator comments: GFP Tag Polyclonal Antibody, Alexa Fluor 488 Thermo Fisher Scientific Cat# A-21311


      What is this?

    1. RRID:AB_10058149

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      Curator: @Naa003

      SciCrunch record: RRID:AB_221477

      Curator comments: GFP Tag Polyclonal Antibody, Alexa Fluor 488 Thermo Fisher Scientific Cat# A-21311


      What is this?

    1. RRID:AB_10058149

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      What is this?

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      DOI: 10.1093/nar/gky846

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      What is this?

    1. RRID:AB_2534134

      DOI: 10.1002/cne.24428

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      Curator: @Naa003

      SciCrunch record: RRID:AB_221569

      Curator comments: GFP Tag Polyclonal Antibody Thermo Fisher Scientific Cat# A-11122 also A11122


      What is this?

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      DOI: 10.1002/jnr.23760

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      What is this?

    1. RRID:AB_11180610

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      SciCrunch record: RRID:AB_2534023

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      What is this?

    1. RRID:AB_11180610

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      What is this?

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      What is this?

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      What is this?

    3. AB_2314825

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      SciCrunch record: RRID:AB_331783

      Curator comments: Mouse Anti-Myc-Tag Monoclonal Antibody, Unconjugated, Clone 9B11 Cell Signaling Technology Cat# 2276 also 2276S


      What is this?

    4. AB_2314825

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      SciCrunch record: RRID:AB_331783

      Curator comments: Mouse Anti-Myc-Tag Monoclonal Antibody, Unconjugated, Clone 9B11 Cell Signaling Technology Cat# 2276 also 2276S


      What is this?

    1. RRID:AB_10058149

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      Curator: @Naa003

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      Curator comments: GFP Tag Polyclonal Antibody, Alexa Fluor 488 Thermo Fisher Scientific Cat# A-21311


      What is this?

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      Curator comments: GFP Tag Polyclonal Antibody, Alexa Fluor 488 Thermo Fisher Scientific Cat# A-21311


      What is this?

    1. RRID:AB_2534134

      DOI: 10.1002/cne.24428

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      Curator: @Naa003

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      Curator comments: GFP Tag Polyclonal Antibody Thermo Fisher Scientific Cat# A-11122 also A11122


      What is this?

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      What is this?

    1. My eyesight sucks, and if I'm not mistaken the screen isn't backlit

      I had the very same problem with the #reMarkable. I really wanted to like it, but the missng backlight was a showstopper for me.

      Now I take my handwritten notes on an iPad Pro 12.9, which is heavy with a less-than-great recharge cycle of one day.

    1. When we call anything “open” we need to clarify: What are we opening, how are we opening it, for whom, and why?

      Indeed, Maha! We hope participants in the Summer Open Pedagogy Adventure series might ponder, and explore here in annotation space.

      How /what does annotation activity open up? Is that experience going to be the same for all? Yes we can create safer spaces in private group Hypothes.is annotation, but it is more cumbersome and we trade off perhaps the possible serendipity of connection with peers offering different perspectives.

      And Why? Reply here and tag your annotation opsa

    1. The set of pedagogical practices that include engaging students in content creation and making learning accessible is known as open pedagogy

      And this what we are asking participants in the Summer Open Pedagogy Adventure series to explore and question. Is this framing of students as content creation, which is valuable, the full range of what is open pedagogy? Engage with us here and elsewhere we we look at annotation as a form of open pedagogy, of going being the creation and adoption of OERs but building activities around them.

      What do you think of Annotations being freely reused as licensed CC0?

      What do our adventurers think? Annotate and tag opsa

    1. There are many ways to begin a discussion of “Open Pedagogy.”

      And that is what we are doing here in the OE Global Open Pedagogy Summer Adventure (2021) in particular, the interactivity strand.

      We can use these tools to augment this text but also reply to others, like a greeting space. So if you are here during our live workshop, or maybe later, reply with a greeting to let us know who you are, how you see (or maybe want to ask about) web annotation as an act of open pedagogy.

      And explore the many annotations already present here...

      And if you remember, add a tag of opsa to your annotations during this activity -- watch what happens.

      Let's go adventuring with web annotation

    1. Reviewer #1 (Public Review):

      Yao Rang and collaborators find that heterologous expression of TMEM120A from mouse and human in cells that lack Piezo1 does not result in poke- or stretch-activated currents in whole cells or excised patches, and further detect no mechano-sensitive currents when the purified human protein is reconstituted in giant unilamellar vesicles. Together with high-quality positive controls with Piezo1, Piezo2 and TMEM63a, the results presented here call into question a previous proposal (Beaulieau-Laroche et al., Cell 2020) that TMEM120A functions as the long sought-after mechano-activated channel responsible for detecting painful touch.

      Although the evidence supporting a channel function for TMEM120A is not strong, it remains to be ruled out that the discrepancies between the two studies arise from the different methods that were used to deliver the mechanical stimuli, as mentioned by the authors in the Discussion, or from the C-terminal mCherry tag attached to human TMEM120A in this study that was not present in the construct used by Beaulieau-Laroche et al.

      Upon determination of the structure of full-length human TMEM120A in nanodiscs using cryo-EM, the authors find that the protein forms a dimer with six transmembrane helices per subunit and a cytosolic N-terminal coiled coil domain. Surprisingly, the authors find a density attributable to coenzyme-A (CoASH) located within a highly conserved cytosolic cavity at the transmembrane domain. The authors provide evidence from mass-spectrometry and isothermal titration calorimetry (ITC) to demonstrate that CoASH binds TMEM120A, and solidify their conclusions by showing that mutation of a residue close to the CoASH density in TMEM120A disrupts binding measured by ITC. The authors show that a potential ion-conduction pathway in their TMEM120A structure would be occluded by CoASH on the cytosolic side and on the extracellular side by a series of not well-conserved residues. Finally, the authors solve a structure in detergents where no density for CoASH is observed, as expected from spectroscopic data showing that detergent-reconstitution results in loss of CoASH binding. In this structure, a conformational change is suggested to occur on the cytosolic cavity entrance where a loop becomes reoriented to occlude the cavity that is otherwise occupied by CoASH. Together, the data presented paints an intriguing alternative for the function of TMEM120A proteins with a role in metabolism or CoA transport.

      Although the main conclusions are well supported by the evidence, it is challenging to appraise many of the interesting structural observations pointed out by the authors because the experimental data (i.e. the density) is in most cases not depicted. Some of these observations for which only the model rather than the experimental data is shown include the hinge-like motif at the dimer interface (Fig. 3C), the CoASH binding site (Fig. 4E and Fig. 4 Supplement 1C), the difference in the conformation of the IL5 loop between the apo and CoASH-bound structures (Fig. 5), the extracellular constriction of the possible ion-conduction pathway (Fig. 4 Supplement 1D and Fig. 5 Supplement 2), as well as the comment that the observed density in the structures cannot accommodate other CoA-derivatives, for which data is not shown. The relatively low resolution at which the data were obtained raises concerns regarding many of these detailed observations.

    1. Reviewer #2 (Public Review): 

      This manuscript describes studies on the structural determinants of activation for the adhesion GPCR (aGPCR) GPR116 both in vitro and in vivo. The authors define key residues for activation on the receptors' N-terminus (the "tethered agonist") and the extracellular loops. Thus, the studies provide novel insights into the structural determinants of GPR116 activation. However, some interpretational issues (detailed below) complicate some of the authors' conclusions. Specific comments are as follows: 

      1) Results section, first paragraph, last sentence: The authors write, "These results taken together indicate that the H991A mutant is capable of proper trafficking to the membrane, is able to response to exogenous peptide, but is unable to be cleaved and activated by endogenous ligands in vivo." The last part of this sentence represents an over-interpretation, as the data shown in Figure 1 do NOT show that the non-cleavable receptor is unable to be activated by endogenous ligands in vivo. It is entirely conceivable that a non-cleavable aGPCR could still be activated by endogenous adhesive ligands if those ligands were to change the position of the tethered agonist in manner that alters receptor signaling activity. 

      2) The data shown in Fig. 1B (surface expression of non-cleavable H991A mutant) need to be quantified in some way in order to be interpretable. 

      3) Results section, second paragraph, penultimate sentence: The authors write, "These data demonstrate that while the non-cleavable receptor is fully activated in vitro by exogenous peptides corresponding to the tethered agonist sequence, cleavage of the receptor and unmasking of the tethered agonist sequence is critical for GPR116 activation in vivo." However, the non-cleavable GPR116 mutant actually has two key differences from WT: i) lack of full liberation of the tethered agonist sequence, and ii) lack of liberation of a free NTF, which might dissociate from the CTF and have important in vivo physiological actions on its own. Isn't it conceivable that the lack of a freely mobile NTF contributes to the similarity in lung phenotype between the non-cleavable knock-in mutant and the GPR116 knockout? Based on the data shown in Figure 2, how can the authors claim these data demonstrate that unmasking of the tethered agonist is critical for GPR116 activation? The data could equally be interpreted as showing that liberation of a free NTF is critical for the physiological effects of GPR116 in vivo. 

      4) Figure 3: If the authors' hypothesis is that the tethered agonist must be liberated in order to allow activation of GPR116, then why do ANY of the Flag-tagged mutant constructs exhibit constitutive signaling activity? Doesn't the N-terminal Flag tag prevent the tethered agonist from being exposed? How can these data be reconciled with the authors' model? 

      5) The data shown in Fig. 3D are lacking statistical comparisons, so it is not possible to tell whether any of the differences between the mutants are statistically significant. 

      6) The data shown in Fig. 4D (surface expression of the ECL mutants) need to be quantified in some way. 

      7) In interpreting the results of the ECL mutations on GPR116 signaling activity, it is unclear why the authors so explicitly propose that these data demonstrate that the tethered agonist must be interacting with ECL2. Isn't it possible that ECL2 mutants with impaired receptor signaling activity simply lock the receptor in an inactive state? In this way, the effects of the ECL2 mutations could be explained without invoking a physical interaction between the putative tethered agonist and ECL2.

    1. SciScore for 10.1101/2021.07.19.21260661: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Study Approval: The University of California San Diego Institutional Review Board approved the study, and women provided oral and written informed consent prior to use of their breast milk samples in the analyses described above.<br>Consent: Study Approval: The University of California San Diego Institutional Review Board approved the study, and women provided oral and written informed consent prior to use of their breast milk samples in the analyses described above.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Collection: Breast milk samples and clinical information were obtained from women participating in the Mommy’s Milk Human Milk Biorepository at the University of California, San Diego.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Coronavirus Panel 2 multiplex electrochemiluminescence (ECLIA) serology kits were purchased from Meso Scale Discovery (Rockville, MD) to measure Immunoglobulin A and G (IgA and IgG) antibodies against four antigens related to SARS-CoV-2 in whole breast milk samples.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plates were incubated with 150 µL of 1x detection antibody solution containing SULFO-TAG anti-human IgA or IgG prepared with Diluent 100.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human IgA</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Clinical variables were associated with SARS-CoV-2-specific IgA antibodies using multivariable linear mixed effects regression (LMER) to model antibody responses to each individual SARS-CoV-2 protein or fragment with random intercepts at the subject level to adjust for repeated measures.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2-specific IgA</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein microarray analysis of breast milk samples: The first generation multi-coronavirus protein microarray, produced by Antigen Discovery, Inc. (ADI, Irvine, CA, USA), included 935 full-length coronavirus proteins, overlapping 100, 50 and 30 aa protein fragments and overlapping 13-20 aa peptides from SARS-CoV-2 (WA-1), SARS-CoV, MERS-CoV, HCoV-NL63 and HCoV-OC43.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HCoV-NL63</div><div>suggested: RRID:CVCL_RW88)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 and SARS-CoV S proteins were made in Sf9 insect cells and the SARS-CoV-2 RBD, made in HEK-293 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK-293</div><div>suggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data visualization was performed using the circlize, ComplexHeatmap and ggplot2 packages in R (23, 24).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>circlize</div><div>suggested: (circlize, RRID:SCR_002141)</div></div><div style="margin-bottom:8px"><div>ComplexHeatmap</div><div>suggested: (ComplexHeatmap, RRID:SCR_017270)</div></div><div style="margin-bottom:8px"><div>ggplot2</div><div>suggested: (ggplot2, RRID:SCR_014601)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      This study had several limitations as well as strengths. The collection of breast milk samples were not directly observed and samples were collected with nonstandard sampling time points. Therefore, the breast milk samples collected at the onset of symptoms may not reflect duration of exposure to SARS-CoV-2, which may be attributed for the differences observed in IgA kinetics. We also relied on the maternal report of SARS-CoV-2 test results, symptoms and treatments received, however, all participants completed a semi-structured interview guided by trained study staff who prompted for specifics with the aid of a calendar. Another limitation in our study was lack of reactivity to the S1 protein and its fragments produced in vitro using an E. coli based reaction mixture. This was likely due to the lack of eukaryotic post-translational modifications, including N-linked glycosylation which is abundant in S1. We compensated for this by including purified S protein and RBD in the array and by assaying purified S, RBD and the NTD of S by electro-chemiluminescent immunoassay (ECLIA). The added value of this study comes from the longitudinal assessment of milk antibody levels and the breadth of antigens covered by the protein microarray and ECLIA platforms, coupled with COVID-19 patient cases with unique profiles.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.07.21.453140: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The expression vectors encoding for all S proteins were transiently transfected into HEK293 Freestyle (HEK293F) cells with polyethylenimine (PEI, linear, 25 kDa, Polysciences, USA) at a ratio of DNA: PEI = 1:2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293F</div><div>suggested: RRID:CVCL_6642)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The DNA sequence corresponding to residues 1-1208 of the S protein was subcloned from the full-length S sequence, appended with the T4 fibritin foldon sequence at the C-terminus, followed by a c-Myc sequence and a hexahistidine (His6) tag, and inserted into the mammalian expression vector pcDNA3.4-TOPO (Invitrogen, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA3.4-TOPO</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The buffer viscosity (η) was set to 0.8945 cP at 25 °C based on the theoretical estimate using SEDNTERP.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SEDNTERP</div><div>suggested: (Sednterp, RRID:SCR_016253)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Those parameters were applied in ASTRA 6.0 software (Wyatt Technology, USA)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ASTRA</div><div>suggested: (ASTRA, RRID:SCR_016255)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.07.20.453054: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Animal experiment and ethics: The alpaca immunization procedures were conducted in conformity with the institutional guidance for the care and use of laboratory animals, and the protocols were approved by the Institutional Committee of Ethics and Research of the Central Laboratory at Xinyang Agricultural and Forestry University.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">The resulted emulsion was injected by the subcutaneous route at ten sites near the bow lymph node in the neck base of an adult female alpaca (3-years old).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The plate was then blocked by 0.5 %(w/v) BSA in TBS buffer for 30 min at RT and washed three times using TBS before incubated with anti-Myc antibodies at 1:2,000 dilution in TBS-BSA-T buffer (TBS supplemented with 0.5 %(w/v) BSA and 0.05 %(v/v</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Myc</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For simultaneous binding of DL28 and monoclonal antibodies (REGN10933, CV30, CB6, all in the IgG form) with RBD, the biotinylated RBD was coated as mentioned above.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CV30</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>CB6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein expression and purification - Spike (S): The polypeptide containing, from N- to C-terminus, residues Met1 – Gln1208 (without the C-terminal transmembrane helix, Uniprot P0DTC2) of the SARS-CoV-2 S with mutations K986P/V987P, a GSAS linker substituting the furin sites (Arg682- Arg685), a C-terminal T4 fibritin trimerization motif (GYIPEAPRDGQAYVRKDGEWVLLSTFL), a TEV protease cleavage site, a FLAG tag and a polyhistidine tag 5 was encoded in a pCDNA3.1 backbone vector and overexpressed in Expi293 cells by transient transfection using polyethylenimine (PEI).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Expi293</div><div>suggested: RRID:CVCL_D615)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Retroviral pseudotyped particles were generated by co-transfection of HEK293T cells using polyethylenimine with the expression vectors encoding the various viral envelope glycoproteins, the Murine leukemia virus core/packaging components (MLV Gag-Pol), and a retroviral transfer vector harboring the gene encoding the green fluorescent protein (GFP).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">VeroE6-hACE2 cells (104 cells/well) were seeded into a 48-well plate and infected 24 h later with 100 μL of virus supernatant in a final volume of 150 μL.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>VeroE6-hACE2</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein expression and purification - Spike (S): The polypeptide containing, from N- to C-terminus, residues Met1 – Gln1208 (without the C-terminal transmembrane helix, Uniprot P0DTC2) of the SARS-CoV-2 S with mutations K986P/V987P, a GSAS linker substituting the furin sites (Arg682- Arg685), a C-terminal T4 fibritin trimerization motif (GYIPEAPRDGQAYVRKDGEWVLLSTFL), a TEV protease cleavage site, a FLAG tag and a polyhistidine tag 5 was encoded in a pCDNA3.1 backbone vector and overexpressed in Expi293 cells by transient transfection using polyethylenimine (PEI).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCDNA3.1</div><div>suggested: RRID:Addgene_79663)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein expression and purification - RBD: The polypeptide containing, from N- to C-terminus, the honey bee melittin signal peptide (KFLVNVALVFMVVYISYIYAA), a Gly-Ser linker, residues 330-531 of the SARS-CoV-2 S, a Gly-Thr linker, the 3C protease site (LEVLFQGP), a Gly-Ser linker, the Avi tag (GLNDIFEAQKIEWHE), a Ser-Gly linker, and a deca-His tag was encoded in a pFastBac-backbone vector for overexpression in Trichoplusia ni High Five suspension cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pFastBac-backbone</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, cells carrying nanobody-encoding pSb-init plasmids 46 were grown in Terrific Broth (TB, 0.17 M KH2PO4 and 0.72 M K2HPO4, 1.2 %(w/v) tryptone, 2.4 %(w/v) yeast extract, 0.5% (v/v) glycerol) supplemented with 25 mg L-1 chloramphenicol at 37 °C with shaking at 200 rpm.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pSb-init</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">One microgram of the PCR product and 10 μg of the pDX_init vector 46 were digested separately with 50 units of BspQI (Cat. R0712L, New England Biolabs) for 1.5 h at 50 °C before heat inactivation at 80 °C for 10 min.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pDX_init</div><div>suggested: RRID:Addgene_132697)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The particles were eluted, and the phagemid was sub-cloned into pSb_init vector by fragment-exchange (FX) cloning and transformed into E. coli MC1061 cells for periplasmic expression and screening.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pSb_init</div><div>suggested: RRID:Addgene_159422)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 pseudotypes for the Alpha (B1.1.7) and Beta (B1.351) variants were generated by incorporating the corresponding Spike mutations into the phCMV-SARS- CoV-2 plasmid.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CoV-2</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The model was built with 2Fo-Fc maps in Coot 51, and refined using Phenix 52.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Coot</div><div>suggested: (Coot, RRID:SCR_014222)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Structures were visualized using PyMol.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PyMol</div><div>suggested: (PyMOL, RRID:SCR_000305)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Neutralization assay using SARS-CoV-2</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2</div><div>suggested: (BioLegend Cat# 944703, RRID:AB_2890874)</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.07.21.453274: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">Plaque numbers were scored in at least 3 replicates per dilution by independent readers, who were blinded with respect to the source of the supernatant.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cells and Virus: African green monkey kidney cells (Vero, subtype E6) and the human lung epithelial cell line (Calu-3 cells) were cultured in high glucose DMEM and low glucose DMEM medium, both complemented with 10% FBS, 100 U/mL penicillin and 100 µg/mL streptomycin at 37 °C in a humidified atmosphere with 5% CO2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Calu-3</div><div>suggested: BCRJ Cat# 0264, RRID:CVCL_0609)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">48-72 h supernatants were collected and the harvested virus was quantified as PFU/mL by titering in Vero E6 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: RRID:CVCL_XD71)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The pRSFDuet-1 plasmids (Novagen) encoding SARS-CoV-2 nsp14 or nsp10 engineered with an N-terminal His-SUMO tag were prepared as follows: SARS-CoV-2 RNA isolated from the supernatant of SARS-CoV-2-infected Vero E6 cells was provided by Benjamin R. tenOever48.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pRSFDuet-1</div><div>suggested: RRID:Addgene_165451)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">PCR products were digested with BamHI and XhoI and subsequently ligated into BamHI and XhoI-digested pRSFDuet-His6-sumo vector and sequence verified.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pRSFDuet-His6-sumo</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The molecular docking calculations were performed using GOLD 2020.2 software (Cambridge Crystallographic Data Centre, Cambridge, UK)54</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GOLD</div><div>suggested: (GOLD, RRID:SCR_000188)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The figures for the docking poses of the largest docking score value was generated with PyMOL Delano Scientific LLC software (Schrödinger, New York, USA)55</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PyMOL</div><div>suggested: (PyMOL, RRID:SCR_000305)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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    1. In a pull-down assay, a bait protein is tagged and captured on an immobilized affinity ligand specific for the tag, thereby generating a "secondary affinity support"’ for purifying other proteins that interact with the bait protein

      basics of pull-down assay

    1. Objects built in Minecraft do not have builder identifiers like those in SL and similar worlds, and anyone can make or break objects anywhere.

      "...makes it really difficult to figure "

      wilson Huckleberry may have a solution in his pockets already...

      Note: First tag in Booklady's space.

    1. Reviewer #3 (Public Review):

      The structure of the acid-sensing ion channel ASIC1a, a proton-gated cation channel, has been determined in resting, desensitized, and toxin-bound open states. However, the intracellular N- and C-termini are not resolved in any of these structures. Couch et al. sought to outline their structures and any conformational changes associated with ASIC gating using FRET coupled with patch-clamp electrophysiology. The authors inserted fluorescent protein tags at the N-terminus and various positions on the C-terminus of ASIC1 and measured the distance between these tags and the plasma membrane using the membrane-embedded FRET acceptor dipicrylamine (DPA). Using fluorescence lifetime measurements, the authors demonstrated that the N- and C-termini of a given subunit are in close proximity to one another. By observing FRET between fluorescent proteins on N- and C-termini of the same ASIC subunit, the authors demonstrate that there is no substantial rearrangement between the intracellular termini during pH gating. However, they did observe that the N- and proximal C-termini do move relative to plasma membrane during the transition from the resting to the pH-desensitized state.

      This paper should be of interest to those working on acid-sensing ion channels and of broader interest to those working on ion channels, receptors, and membrane protein structural biology. The study was well designed and the data are of high quality. The authors took great care to provide a conservative interpretation of their data. I have only minor concerns regarding sources of error, particularly with respect to interpretation of the small effects the authors observe in many of their FRET experiments.

      • Figure 2D shows rather small changes in ΔF/F-15 mV between fluorescent protein labels inserted at different positions in the ASIC sequence, particularly for the YFP constructs. As this metric is determined from the top and bottom asymptotes for the Boltzmann fits shown in Figure 2C, it would be useful to have some estimate as to the error associated with the fits at extreme values. Perhaps the authors could provide fits to their data (as in Figure 2C), including confidence intervals, or some similar estimate as to the size of the expected error compared to the effect size in Figure 2D.

      • Along those same lines, the authors use an interesting (and potentially generalizable) approach to reducing background from intracellular proteins in their experiments: co-transfecting their channels with empty plasmid DNA. What percentage of the remaining fluorescence signal is the result of intracellular background? How would that affect the data in Figure 2 and 3? Is the ΔF/Fnorm curve for YFP labeled positions in Figure 2-figure supplement 4 so flat because of contaminating background fluorescence?

      • In Figure 3D, the FRET efficiency between CFP-cA1-cA1 and N YFP at a 1:15 ratio of the two plasmids is higher than the FRET efficiency between CFP and YFP in the same subunit, even though the authors conclude that fluorescent proteins on the same subunit show considerably more FRET than fluorescent proteins on neighboring subunits. Could this indicate that the N-termini of adjacent subunits are closer together than the N- and C-termini of a single subunit? If, on the other hand, this effect were entirely the result of crowding in the membrane why is FRET efficiency substantially lower when CFP-cA1-cA1 is co-expressed with C4 YFP? Wouldn't this construct produce a similar crowding effect?

      • On page 23, the authors state that they detected no pH-dependent changes in FRET between their GFP tag on the N-terminus of ASIC1 and an RFP tag on the channel's C-terminus. However, Figure 4 shows a small, but significant change in fluorescence between pH 8 and pH 7.

      • The interpretation of distances between various tagged position on ASIC and the plasma membrane in Figure 2 is based on using two different colored tags with two different distance dependences. However, the interpretation of the data from Figure 5 provided on page 25 is less clear. For example, the reduction in fluorescence from the N-terminal tag is interpreted as the tag moving closer to the plasma membrane. Without similar data from a YFP tag to verify, it seems equally likely that the reduction in fluorescence (at steady state) could result from a movement away from the plasma membrane.

    2. Author Response:

      Reviewer #3 (Public Review):

      [...] I have only minor concerns regarding sources of error, particularly with respect to interpretation of the small effects the authors observe in many of their FRET experiments.

      • Figure 2D shows rather small changes in ΔF/F-15 mV between fluorescent protein labels inserted at different positions in the ASIC sequence, particularly for the YFP constructs. As this metric is determined from the top and bottom asymptotes for the Boltzmann fits shown in Figure 2C, it would be useful to have some estimate as to the error associated with the fits at extreme values. Perhaps the authors could provide fits to their data (as in Figure 2C), including confidence intervals, or some similar estimate as to the size of the expected error compared to the effect size in Figure 2D.

      Thank you for this point. We did use Boltzman’s fits to get the asymptotes for each cell and calculate a ΔF/F. However, we could also use a ‘fit free’ approach of simply taking the difference between fluorescence values measured at -180 mV and that at +120 mV, divided by that at -15 mV to normalize for each cell. This approach completely avoids any error associated with fitting the data or imposing any model at all. Using this approach results in slightly different ΔF/F values but the pattern of statistical significance is identical. This new analysis is included in Figure 2 figure supplement 4. It has also been corrected for multiple comparisons.

      • Along those same lines, the authors use an interesting (and potentially generalizable) approach to reducing background from intracellular proteins in their experiments: co-transfecting their channels with empty plasmid DNA. What percentage of the remaining fluorescence signal is the result of intracellular background? How would that affect the data in Figure 2 and 3? Is the ΔF/Fnorm curve for YFP labeled positions in Figure 2-figure supplement 4 so flat because of contaminating background fluorescence?

      This is a great question. We originally hoped that the CFP and YFP quenching data from different positions could be used to triangulate both a distance from the membrane and a value for background fluorescence assuming that CFP and YFP would yield similar background fluorescences. An analogous approach was used in Zachariassen et al. Proc Natl Acad Sci, 2016 where an equal background was assumed between conformational states within a recording. In the end, the YFP quenching appeared to have a greater background than CFP. We speculate that this may be because the YFP variant we used matures faster than the CFP (mVenus, 17.6 min verses mTurquiose2, 33.5 min; FPbase.org) and hence the YFP matures faster than the ‘new’ channels get to the plasma membrane. However, at present we are uncertain how much of the background fluorescence signal to confidently attribute to this intracellular FP issue.

      • In Figure 3D, the FRET efficiency between CFP-cA1-cA1 and N YFP at a 1:15 ratio of the two plasmids is higher than the FRET efficiency between CFP and YFP in the same subunit, even though the authors conclude that fluorescent proteins on the same subunit show considerably more FRET than fluorescent proteins on neighboring subunits. Could this indicate that the N-termini of adjacent subunits are closer together than the N- and C-termini of a single subunit? If, on the other hand, this effect were entirely the result of crowding in the membrane why is FRET efficiency substantially lower when CFP-cA1-cA1 is co-expressed with C4 YFP? Wouldn't this construct produce a similar crowding effect?

      We strongly suspect the N termini of adjacent subunits are closer to each other than N and C of single subunit simply because the N FPs would all be at the same ‘height’ or same depth with respect to the plasma membrane. Thus the measured FRET in this case primarily reflects distances in the x-y plane. This contrasts with the N and C FPs on the same or different subunits where both x-y distances and axial distances come into play.

      • On page 23, the authors state that they detected no pH-dependent changes in FRET between their GFP tag on the N-terminus of ASIC1 and an RFP tag on the channel's C-terminus. However, Figure 4 shows a small, but significant change in fluorescence between pH 8 and pH 7.

      We have corrected for multiple comparisons within a figure. As a result, this effect is no longer statistically significant (adjusted p value is 0.063).

      • The interpretation of distances between various tagged position on ASIC and the plasma membrane in Figure 2 is based on using two different colored tags with two different distance dependences. However, the interpretation of the data from Figure 5 provided on page 25 is less clear. For example, the reduction in fluorescence from the N-terminal tag is interpreted as the tag moving closer to the plasma membrane. Without similar data from a YFP tag to verify, it seems equally likely that the reduction in fluorescence (at steady state) could result from a movement away from the plasma membrane.

      This is a very good point. We tried to perform DPA quenching of YFP-containing constructs at pH 6.0, but the acidification resulted in proton-quenching of the YFP fluorescence (Figure 4). We didn’t feel confident in measuring DPA quenching with the concomitant loss of YFP fluorescence due to acidification. Therefore, we relied on the pH 8.0 CFP and YFP data as a starting point (Figure 2). Given the C1 insertion gives the greatest extent of CFP quenching, it is reasonable to place it around the top of the curve. The N position could then be on the left or right side of the hump or peak in the CFP distance curve. The N quenching is comparable to the C2 insertion quenching (Figure 2D, left) yet the N FP is ~ 16 amino acids from the pore-forming membrane helices while the C2 insertions is ~ 40 amino acids away. For reference, the C1 is ~ 24 amino acids. Thus we are reasonably confident the N insertion is on the left side of the hump or peak. A reduction in ΔF/F would indicate movement closer to the plasma membrane. While technically possible that the N position could move further away from the membrane, this would have to be a >25 Å movement. Given there are only 16 amino acids between the CFP and the beginning of TM1 of the channel, we do not think such a dramatic movement outward could occur.

    1. I'm partial to the "Principle of Least Power" in the Axioms of Web Architecture document cited in the bibliography. (The language there better captures the thought and presents it more convincingly, in my opinion.)

      Shortcut: https://www.w3.org/DesignIssues/Principles.html#PLP

    1. Reviewer #2 (Public Review):

      In the manuscript by Paul W. Maarten and Sidhu A.. et al., the authors surveyed the importance of the DNA binding domain (DBD) and C-terminal domain (CTD) of BRCA2 in response to DNA damaging agents in cells, and the conformations adopted by recombinant constructs. The characterization of these domains are paramount in understanding basic BRCA2 function for novel future exploitation in cancer therapeutics. While the DBD and CTD domain have notable functions in DNA binding, nuclear localization upon DSS1 binding, RPA exchange, and replication fork protection, their role in response to damage and conformational modulation had been unexamined. Studying BRCA2 domain deletion in human cell lines is difficult as human BRCA2 contains a NLS in the C-terminus of the protein. The authors exploit the fact that the murine BRCA2 that has an additional N-terminal nuclear localization sequence to overcome lethality and the study of deletion mutants in human cell lines. Cell survival assays show the DNA binding domain of BRCA2 is most important for cell survival when treated with DNA damaging agents IR, Olaparib, MMC, and Cisplatin. The authors also show this system is functional as they observe the DBD domain is the most important for gene targeting assays that are repaired by homologous recombination. By assessing various DNA damaging agents, the authors highlight the multiple roles of BRCA2 in varying DNA repair processes from DSB repair, BIR, crosslink repair, etc. Interestingly, the C-terminus of BRCA2 does not appear to play a role in to cells when treated with MMC or Cisplatin but plays an important role in mediating self-organization. The authors describe that both the DBD and CTD domains of BRCA2 are important for RAD51 foci formation following IR. Assessing BRCA2 single-particle tracking in live cells, the authors show that the deletion of the DBD and the CTD domain leads to an increased immobile fraction following IR treatment. Using biophysical single molecule analysis, the authors analyzed recombinant BRCA2 DBD , CTD, and double mutants in the presence of ssDNA and interacting protein RAD51. The authors determined these domains are important for BRCA2 self-interactions and BRCA2 conformational rearrangements in the presence of ssDNA supporting in vivo analysis. Biophysical analysis show that the DBD and CTD are important for BRCA2 conformational dynamics that are observed with binding protein RAD51 or DNA substrates.

      Strengths:<br> • These studies exploit a murine cellular system to overcome cellular lethality observed in BRCA2 depletion in human cell lines, which allows them to study the mouse BRCA2 protein and associated domain deletions.<br> • The authors also utilize bright photostable fluorophore's called JF646 Halo Tag ligand to study BRCA2, the deletion mutants, and RAD51 using live cell imaging. This is a great technical advancement in observing BRCA2 function in vivo.<br> • The in vivo and in vitro studies both support important roles of the DBD and CTD domain in BRCA2 dynamics.

      Weaknesses:<br> • The importance of the in vivo work with these domains and the findings presented is confounded by a lack of biological replicates and clear presentation of statistical analysis within figures in the manuscript.<br> • As both domains are important for response to DNA damaging agents (IR, Olaparib, MMC, and Cisplatin) if a function specification could be made to the deletion mutations this would be most valuable to the field. Assaying molecules with varying substrates (Ex-forked substrates, crosslinked substrates, ssDNA substrates containing DNA lesions) or other protein players (DSS1) may aid in teasing out these roles.<br> • The discussion focuses on DSS1 and the DBD domain, yet the paper lacks any experimental analysis of BRCA2-DSS1. A biophysical analysis with recombinant protein DSS1 may greatly enhance the impact of this work on the field.<br> • It is unclear if the larger BRCA2 assemblies or the deletion mutants in the manuscript form via an oligomerization mechanisms or a phase separated mechanism. Speculation from authors would be valuable.

    2. Reviewer #3 (Public Review):

      The biochemical and genetic characterization of BRCA2 has been an ongoing challenge in the DNA repair field as the protein is large, prone to degradation, and expressed at low levels in most cell types. While certain features of BRCA2 have been described previously including its ability to bind and load RAD51 onto resected DNA substrates, much remains to be discovered. In this study, the authors combine genetic studies in mouse ES cells with biochemical analysis to examine the spatial dynamics and molecular architecture of BRCA2. Notably, they utilize an innovative approach coupling endogenous tagging of mouse BRCA2 with a HALO tag to monitor BRCA2 movement within live cells by single particle tracking.

      I applaud the authors for achieving a highly technical approach to epitope tagging both endogenous BRCA2 alleles in mouse ES cells and combining this strategy with a HALO tag providing additional utility for a variety of cell biological experiments. By analyzing the endogenous alleles, the authors' system provides physiological levels of protein expression as transcription will be driven by the endogenous promoter thus preserving stoichiometric protein interactions within the cell and avoiding artifacts caused by overexpression.

      The authors determine the influence of the DNA binding domain (DBD) and c-terminal binding (CTD) on the dynamic activities of BRCA2. They begin by exposing cells containing 3 different deletion mutants ΔDBD, ΔCTD, and the double mutant ΔDBDΔCTD to four different types of DNA damage (IR, PARPi, MMC, and cisplatin). Notably, ΔDBD displays significant impairment in survival in response to all 4 types of DNA damage. The ΔCTD, in contrast, demonstrates less sensitivity to IR and Olaparib, however, complements as well as WT BRCA2 in response to crosslinking agents MMC and cisplatin. My only criticism in this aspect of the work is that it would have been informative to include a truncated BRCA2 (mimic of a patient pathogenic mutation) or null allele to compare to the survival of the ΔDBD and ΔCTD mutants. I realize that these alleles may be inviable but the authors should clearly state if that was indeed the case.

      The authors then go on to demonstrate that the ΔDBD and ΔCTD mutants are recruited to sites of IR damage in a similar manner to WT BRCA2 based on number and intensity of foci. I think it would be informative if the authors provided statistical significance for the graphs depicting the quantitation of foci number and intensity as there do appear to be differences between the mutants and the WT protein. There appears to be a delay in the kinetics of recruitment, especially at the 2 hr timepoint, for the mutants compared to WT BRCA2, which could indicate a defect in the recognition of the DNA damage. Only at the 2 hr timepoint following IR are there less RAD51 foci, and of a lesser intensity, in the three deletion mutants compared to WT BRCA2. Another possibility is the results could be interpreted as a defect in RAD51 loading and/or stabilization of the nucleoprotein filament. While immunofluorescence imaging of DNA repair foci have become common practice to measure protein recruitment to damage, it is impossible to know exactly what is happening in these foci with any granularity.

      Next, the authors measure BRCA2 movement in the mouse ES cells taking advantage of the HALO tag to track single particles. While technically and visually alluring, it is difficult to extract mechanistic insight from the results. DNA damage induces changes in diffusion leading to BRCA2 molecules with restricted mobility; the authors demonstrated this phenomenon in a prior publication. The deletion mutants appear to have little effect upon BRCA2 mobility.

      Finally, the authors utilize scanning force microscopy to analyze binding of the purified human BRCA2 proteins to RAD51 and ssDNA. In the absence of RAD51/ssDNA binding, there is a notable shift in the deletion mutants from oligomeric forms to monomeric compared to full length WT BRCA2. Upon binding to RAD51, there is a dramatic change from multimeric to monomeric forms for the WT BRCA2 (~7% to 74%) with a slight suppression of these changes shown for the deletion mutants. While WT BRCA2 forms extended molecular assemblies upon binding ssDNA, not surprisingly, deletion of the DBD or CTD fail to demonstrate any significant changes in physical architecture. In both situations, the mutant proteins respond to RAD51 and ssDNA in a dampened manner likely due to altered or loss of binding. While the architectural effects of RAD51 and ssDNA binding to BRCA2 are measurable by SFM, it is difficult to reconcile these changes in shape and oligomerization to defects in response to DNA damage and at which specific steps in homologous recombination these physical forms would impact.

      Strengths:

      1. Generation of mouse ES cells with both endogenous alleles of BRCA2 containing the deletion mutations in addition to a HALO tag is an incredible technical breakthrough and will be a highly valuable reagent for genetic and cell biological studies of mouse BRCA2.<br> 2. The deletion mutants ablating either the DBD or the CTD, or both, is a great genetic approach to understanding the role of these key domains in BRCA2. The response of these mutants (versus WT BRCA2 as a benchmark) to various DNA damage (IR, PARPI, MMC, cisplatin) provides interesting information delineating the roles of these two important domains in BRCA2. For example, the ΔCTD mutant is significantly sensitive to IR and Olaparib, yet complements as well as WT BRCA2 in response to the crosslinking agents MMC and cisplatin.<br> 3. The BRCA2 protein is notoriously difficult to purify and yet the authors succeeded in purifying 4 different forms of the protein for biophysical analysis. While it is difficult to interpret the various forms of BRCA2 by SFM, there are clear differences in the architecture between WT and the three c-terminal mutants. These differences are highlighted upon binding to RAD51 or ssDNA.

      Weaknesses:

      1. While the separation-of-function result for the CTD deletion in response to crosslinking agents MMC and cisplatin is a novel and compelling result, it would have been informative to compare the survival results and gene targeting assay using a BRCA2 null or mimic of patient mutation (truncating mutation) to see how these 3 mutants stack up against a completely non-functioning BRCA2 allele. Likely, the BRCA2 null alleles are inviable but perhaps a conditional system or truncating allele similar to a patient germline mutation would give a window into response compared to the DBD and CTD deletion mutants.<br> 2. It's not clear in the manuscript what new information we are learning about the mechanisms of BRCA2 in the single particle tracking (SPT) data. The differences in mobility between the mutants and WT BRCA2 seem minimal, but more importantly, it is not immediately clear how these data help us understand the normal cellular functions of BRCA2. No doubt, the technology and innovation to track single particle proteins in the nuclei of cells is impressive, but the authors should clearly explain how we can gain mechanistic insight from the SPT data that is presented in this manuscript.

      General Comments:

      It is unclear how missing the c-terminal domain (CTD) or the DNA binding domain (DBD) of BRCA2 can be interpreted as having "roles beyond delivering strand exchange protein RAD51" unless a complete biochemical workup of the deletion mutants was performed to detect any alterations in DNA binding, stimulation of RAD51 dependent strand exchange, etc... While interesting and certainly an impressive technical feat, foci imaging and single particle tracking do not provide much information on mechanism (i.e. whether BRCA2 is binding DNA and loading/nucleating RAD51).

      The interpretations in the discussion are not overstated, however, I somewhat disagree with the notion that the data, as presented, clarifies the role of BRCA2 beyond its canonical functions of RAD51 loading and nucleation on resected DNA substrates. I would have liked if the authors discussed the idea that it is surprising that mouse ES cells can tolerate complete loss of the DBD, CTD, and loss of both together. Questions that should be addressed in include some of the following: Are proliferation rates compromised compared to WT cells? Are they experiencing replication stress in the absence of any exogenous damage? Further, is there something unique about mouse ES cells that may differentiate BRCA2 behavior that would be expected in somatic human cells?

      It is interesting to note that many years ago Ashworth and Taniguchi published back-to-back papers in Nature (2008) describing BRCA2 reversion alleles from in vitro screens of BRCA2 mutant cells selected in cisplatin or PARPi such that some of these reversions resulted in huge deletions of the entire DBD of BRCA2, and yet, they promoted resistance to PARPi. In this context, I would much appreciate if the authors commented on their findings that their constructed DBD deletion is not resistant to PARPi and if they offered some speculation as to why the reversions in those previous studies were.

    1. Past research indicates that people judge repeated statements as more true than new ones. An experiential consequence of repetition that may underly this “truth effect” is processing fluency: processing statements feels easier following their repetition. Here, we examine the effect of merely instructed (i.e., not experienced) repetition on truth judgments, which we compared to the effect of factual repetition. In two preregistered experiments (N=468), we found a larger truth effect for factual repetition compared to instructed repetition. However, we also found a non-experiential contribution to truth judgments: statements instructed to be repeated were judged more true than those instructed to be new. Experiment 2 further clarified that adding a repetition status tag in the factual repetition condition did not impact truth judgments. Moreover, for both experienced and instructed repetition, the effect on truth was qualified by subjective recognition. We discuss the mechanisms that can explain the impact of instructed repetition on truth and its implications for a better understanding of the truth effect.
    1. iife – A self-executing function suitable for inclusion as a <script> tag. If you want to create a bundle for your application, you probably want to use this.

      iffe格式主要是用于在script上引入的方式

    1. SciScore for 10.1101/2021.07.19.452910: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">or with 1 μg UBE2O antibody (A301-873A, Bethyl) overnight following with 15 μL prewashed protein A/G beads (1:1 mixture, 1614013 and 1614023, Biorad) incubation for another 1.5 hr.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>UBE2O</div><div>suggested: (Thermo Fisher Scientific Cat# A301-873A, RRID:AB_1309799)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Antibodies used in these experiments included Flag (F1804, Sigma), EGFP (50430-2-AP, Proteintech), NSP3 (ab181602, Abcam), UBE2O (A301-873A, Bethyl), pSerine (gtx26639, GeneTex), pThreonine (9386, Cell Signaling), TAB2 (A302-759A, Bethyl), TAB3 (A302-208A, Bethyl)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>EGFP</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>A301-873A , Bethyl) , pSerine ( gtx26639 , GeneTex) , pThreonine ( 9386 , Cell Signaling) , TAB2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>A302-759A , Bethyl) , TAB3</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Antibodies used for the experiment are: CANX (2679, Cell Signaling), TOMM20 (ab56783, Abcam), Flag (F1804 and F7425, Sigma), NSP3 (ab181602, Abcam).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CANX ( 2679 , Cell Signaling)</div><div>suggested: (Cell Signaling Technology Cat# 2679, RRID:AB_2228381)</div></div><div style="margin-bottom:8px"><div>TOMM20</div><div>suggested: (Abcam Cat# ab56783, RRID:AB_945896)</div></div><div style="margin-bottom:8px"><div>ab56783 , Abcam) , Flag ( F1804</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>NSP3</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">HEK293T cells from ATCC were cultured in Dulbecco’s Modified Eagle’s Medium (DMEM, Hyclone, SH30033.01) supplemented with 10% Fetal bovine serum (FBS, Hyclone, SV30160.03) and 1×Penicillin/Streptomycin (Hyclone,</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">UBE2O plasmid was described before [52] and TNIP cDNA was amplified from HeLa cDNA and cloned in to pCS2 vector with Flag tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCS2</div><div>suggested: RRID:Addgene_62214)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Raw data were first transformed using FAIMS MzXML Generator and then analyzed using MaxQuant version 1.6.17.0 [54]</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MaxQuant</div><div>suggested: (MaxQuant, RRID:SCR_014485)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein-Protein Interaction (PPI) network and pathway annotation of interactors was constructed by Cytoscape plugin Reactome FI v7.2.3 [57].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Cytoscape</div><div>suggested: (Cytoscape, RRID:SCR_003032)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Interactors of NSP3 were divided into 3 groups (CoV1, CoV2 and both) and enriched GO terms were shown using clusterProfiler package [58]</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>clusterProfiler</div><div>suggested: (clusterProfiler, RRID:SCR_016884)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Circos plots was performed using circlize package [59].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Circos</div><div>suggested: (Circos, RRID:SCR_011798)</div></div><div style="margin-bottom:8px"><div>circlize</div><div>suggested: (circlize, RRID:SCR_002141)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We filtered out the kinases of which matching sites was less than 3 or Z-score is lower than 1 and created Human Kinome Tree illustration using KinMap [36].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>KinMap</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The targeting drugs that regulate activity changed kinases were extracted from drugbank (https://go.drugbank.com/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>drugbank</div><div>suggested: (DrugBank, RRID:SCR_002700)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Transcriptome data analysis: Raw reads were aligned to the human genome (hg38) using HISAT2 [62].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HISAT2</div><div>suggested: (HISAT2, RRID:SCR_015530)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Next, we assembled reads to transcripts and quantified the read counts of each genes utilizing StringTie [63].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>StringTie</div><div>suggested: (StringTie , RRID:SCR_016323)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We kept genes that CPM is greater than 1 in at least 2 samples and analyzed the differential expression gene using edgeR [64].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>edgeR</div><div>suggested: (edgeR, RRID:SCR_012802)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">, Molecular Function (MF) were performed using enrichR in clusterProfiler package.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>enrichR</div><div>suggested: (Enrichr, RRID:SCR_001575)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.07.17.452804: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      NIH rigor criteria are not applicable to paper type.

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For each library, 45 OD of induced culture was washed twice with PBS-BSA (0.2 mg/mL), and RBD surface expression was labeled via a C-terminal c-Myc tag with 1:100 diluted FITC-conjugated chicken anti-c-Myc antibody (Immunology Consultants Lab, CMYC-45F) in 3mL PBS-BSA.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>c-Myc tag</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-c-Myc</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">One day post-transfection, cells were infected with VSV (G*ΔG-luciferase), and after 2 hr, infected cells were washed 5x with DMEM before adding medium supplemented with anti-VSV G antibody (I1-mouse hybridoma supernatant diluted 1:40, from ATCC CRL-2700)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>G*ΔG-luciferase) ,</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-VSV G</div><div>suggested: (Fitzgerald Industries International Cat# 10R-2673, RRID:AB_11192005)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Detection of S was done with mouse monoclonal ANTI-FLAG M2 antibody (Sigma F3165) and Alexa Fluor 680 AffiniPure</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ANTI-FLAG</div><div>suggested: (Sigma-Aldrich Cat# F3165, RRID:AB_259529)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">293T cells were transfected using Lipofectamine 2000 (Life Technologies) with a S encoding-plasmid in Opti-MEM transfection medium and incubated for 5 hr at 37°C with 8% CO2 supplemented with DMEM containing 10% FBS.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">VSV pseudovirus entry assays: HEK293T (293T) cells (ATCC CRL-11268) and 293T cells with stable transfection of human ACE242 were cultured in 10% FBS, 1% PenStrep DMEM at 37°C in a humidified 8% CO2 incubator.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: ATCC Cat# CRL-11268, RRID:CVCL_1926)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">pcDNA3.4 expression plasmids were transfected into HD 293F cells for protein expression.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pcDNA3.4</div><div>suggested: RRID:Addgene_131198)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Transient expression of R. affinis ACE2-Fc: The R. affinis 787 (GenBank: QMQ39222.1) and R. affinis 9479 (GenBank: QMQ39227.1) ACE2 ectodomains constructs were synthesized by GenScript and placed into a pCMV plasmid.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCMV</div><div>suggested: RRID:Addgene_20783)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Marginal likelihood ancestral sequence reconstruction was performed with FastML (version 3.11)49 using the amino acid sequence alignment, the maximum likelihood nucleotide tree topology from RAxML, the LG+G substitution matrix, re-optimization of branch lengths, and FastML’s likelihood-based indel reconstruction model.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FastML</div><div>suggested: (Fastml, RRID:SCR_016092)</div></div><div style="margin-bottom:8px"><div>RAxML</div><div>suggested: (RAxML, RRID:SCR_006086)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The resulting CCSs are available on the NCBI Sequence Read Archive, BioSample SAMN18316101.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>NCBI Sequence Read Archive</div><div>suggested: (NCBI Sequence Read Archive (SRA, RRID:SCR_004891)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Yeast library sorting experiments were conducted on a BD FACSAria II with FACSDiva software (version 8.0.2).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FACSDiva</div><div>suggested: (BD FACSDiva Software, RRID:SCR_001456)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ACE2 labeling of RBD+ cells was measured on a BD LSRFortessa X50 flow cytometer and data was processed via FlowJo (version 10)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Normalized cell entry levels of pseudovirus generated on different days (biological replicates) were plotted in Graph Prism as individual points, and average cell entry across biological replicates was calculated as the geometric mean.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Graph Prism</div><div>suggested: None</div></div></td></tr></table>

      Results from OddPub: Thank you for sharing your code and data.


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.07.18.452826: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: This animal experiment protocol was approved by the Animal Ethics Committee of the School of Basic Medical Sciences at Fudan University.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">SARS-CoV-2 infection of adenovirus transduced mice: Six to eight week-old male mice (BALB/c) were transduced intranasally with adenovirus expressing wild-type ACE2, the D355N variant or empty control (5×1010 viral particles per mouse).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Contamination: Cells were tested routinely and found to be free of mycoplasma contamination.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cells were fixed with 4% paraformaldehyde in PBS, permeablized with 0.2% Triton X-100, and incubated with the rabbit polyclonal antibody against SARS-CoV nucleocapsid protein (Rockland, 200-401-A50, 1 μg/ml) at 4 °C overnight.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV nucleocapsid protein ( Rockland , 200-401-A50 , 1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After three washes, cells were incubated with the secondary goat anti-rabbit antibody conjugated to Alexa Fluor 488 (Thermo #A11034, 2 μg/ml) for 2 h at room temperature, followed by staining with 4’,6-diamidino-2-phenylindole (DAPI).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-rabbit</div><div>suggested: (Thermo Fisher Scientific Cat# A-11034, RRID:AB_2576217)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To detect the expression of FLAG-tagged ACE2 delivered by adenovirus, the sections were incubated in blocking reagent and then with FLAG M2 antibody (1:100 dilution, Sigma-Aldrich #1804) at 4 °C overnight, followed by incubation with HRP-conjugated goat anti-mouse IgG secondary antibody (1:5000 dilution, Invitrogen).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FLAG</div><div>suggested: (Sigma-Aldrich Cat# F1804, RRID:AB_262044)</div></div><div style="margin-bottom:8px"><div>anti-mouse IgG</div><div>suggested: (LSBio (LifeSpan Cat# LS-C69682-5000, RRID:AB_1653096)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For viral antigen detection, the sections were incubated with house-made mouse anti-SARS-CoV-2 nucleocapsid protein serum (1:5000) and HRP465 conjugated goat anti-mouse IgG secondary antibody (1:5000 dilution, Invitrogen).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-CoV-2 nucleocapsid protein serum</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cells were stained with homemade mouse anti-SARS-CoV-2 N serum overnight at 4°C, incubated with the secondary goat anti-mouse HRP-conjugated antibody for 2 h at room temperature.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-CoV-2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-mouse</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cell cultures and SARS-CoV-2 virus: HEK293T cells (American Tissue Culture Collection, ATCC, Manassas, VA, CRL-3216), Vero E6 (Cell Bank of the Chinese Academy of Sciences, Shanghai, China) and HeLa (ATCC #CCL-2) were maintained in Dulbecco’s modified Eagle medium (DMEM) (Gibco, NY, USA) supplemented with 10% (vol/vol</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">(Addgene #12259) and psPAX2 (Addgene #12260) and the transfer vector with VigoFect DNA transfection reagent (Vigorous) into HEK293T cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293T</div><div>suggested: CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Surface ACE2 binding assay: HeLa cells were transduced with lentiviruses expressing the ACE2 from different species for 48 h.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HeLa</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The pShuttle-ACE2 plasmids were then electroporated 440 into BJ5183 AD-1 cells (Agilent), which were pretransformed with pAdEasy-1 to facilitate recombination with the pShuttle-CMV vector.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>AD-1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The transfected HEK293 cells were maintained until the cells exhibited complete cytopathic effect (CPE) and then harvested and freeze-thawed.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK293</div><div>suggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 infection of adenovirus transduced mice: Six to eight week-old male mice (BALB/c) were transduced intranasally with adenovirus expressing wild-type ACE2, the D355N variant or empty control (5×1010 viral particles per mouse).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BALB/c</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Plasmids: The cDNAs encoding ACE2 orthologs (Table S1) were synthesized by GenScript and cloned into pLVX-IRES-zsGreen1 vectors (Catalog No. 632187, Clontech Laboratories, Inc) with a C-terminal FLAG tag.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pLVX-IRES-zsGreen1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">(Addgene #12259) and psPAX2 (Addgene #12260) and the transfer vector with VigoFect DNA transfection reagent (Vigorous) into HEK293T cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>psPAX2</div><div>suggested: RRID:Addgene_12260)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Specifically, SARS-CoV-2 RBD (residues Thr333-Pro527), SARS-CoV RBD (residues Arg306–Leu515), or NL63-CoV RBD (residues Gln481-Ile616) with a N-terminal gp67 signal peptide for secretion and a C-terminal 6×His tag for purification was inserted into pFastBac-Dual vector (Invitrogen).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pFastBac-Dual</div><div>suggested: RRID:Addgene_135584)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Production of SARS-CoV-2 or SARS-CoV pseudotyped virus: Pseudoviruses were produced in HEK293T cells by co-transfecting the retroviral vector pTG-MLV-Fluc, pTG-MLV-Gag-pol, and pcDNA3.1 expressing the SARS-CoV spike, SARS-CoV-2 spike or VSV-G (pMD2.G (Addgene #12259)) using VigoFect (</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pTG-MLV-Fluc</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pTG-MLV-Gag-pol</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pcDNA3.1</div><div>suggested: RRID:Addgene_79663)</div></div><div style="margin-bottom:8px"><div>VSV-G</div><div>suggested: RRID:Addgene_138479)</div></div><div style="margin-bottom:8px"><div>pMD2 . G</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Generation and production of recombinant adenovirus expressing ACE2 variants: cDNA of ACE2 variants with a FLAG tag at the C-terminus was cloned into pShuttle.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pShuttle</div><div>suggested: RRID:Addgene_16402)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The pShuttle-ACE2 plasmids were then electroporated 440 into BJ5183 AD-1 cells (Agilent), which were pretransformed with pAdEasy-1 to facilitate recombination with the pShuttle-CMV vector.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pShuttle-ACE2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pAdEasy-1</div><div>suggested: RRID:Addgene_16400)</div></div><div style="margin-bottom:8px"><div>pShuttle-CMV</div><div>suggested: RRID:Addgene_16403)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Images were processed using the ImageJ program (http://rsb.info.nih.gov/ij/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ImageJ</div><div>suggested: (ImageJ, RRID:SCR_003070)</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      We note that our conclusions are based on experiments performed in cell culture and in an artificial animal model and therefore have certain limitations. It will be important to extend this work to a real-world study, which could bridge the gap between genotype, phenotype and epidemiology. In addition, we only considered the effect of ACE2 SNVs. As the serine protease TMPRSS2 can prime the viral spike for direct fusion with the plasma membrane39, 43, SNPs in TMPRSS2 might also impact SARS-CoV-2 cell entry and be useful target of future studies. Moreover, SNPs in the 5’UTR or other non-coding regions of ACE2 were not included in this study and may also be important in regulating ACE2 transcription or translation, leading to varied ACE2 protein levels in vivo that could affect virus entry and the severity of COVID-19. Due to these limitations, we urge caution not to over interpret the results of this study. Of note, SARS-CoV-2 has evolved rapidly in humans, and a variety of genomic changes, including mutations and deletions in the spike protein, have recently been identified44, 45. Given that genetic variants will continue to arise, it is likely that we will see more genomic changes in the spike protein that might affect the spike interaction with human ACE2. Thus, it will be important to continue testing the interactions of these mutated spike proteins with the ACE2 SNVs. In summary, our study suggest that ACE2 polymorphism could impact human susceptibility to SARS-CoV-2 infec...

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


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      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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    1. #👤sg might be good to use the dataview plugin to create tables by participants showing where they've edited (assuming they consistently tag themselves on pages they work on)

      An interesting idea Shawn.

    1. SciScore for 10.1101/2021.07.16.21260079: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Study approval: Use of human samples for this study was approved by the University of Ottawa Ethics Review Board: Certificates H-04-20-5727, H-04-21-6643 and H-07-20-6009.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Antibody responses in pre-pandemic serum samples of all four cohorts were tested for the presence of antibody isotypes (IgA, IgM, IgG, and IgE) and IgG subtypes (IgG1, IgG2, IgG3, and IgG4) using this ELISA binding assay.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgA</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgM</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgG</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgE</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgG1</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgG2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgG3</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgG4</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Accordingly, the control calibration antibodies were prepared with appropriate dilutions to generate the calibration curve (anti-COVID Ig).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-COVID Ig) .</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After two hours, plates were washed three times with 200uL PBS-T followed by the addition of secondary-HRP antibodies (1:3000) diluted in dilution buffer.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>secondary-HRP</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">50uL of the appropriate diluted secondary antibody-HRP was added to each well and the plates were incubated at RT for one hour of shaking (700rpm).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>antibody-HRP</div><div>suggested: (Bioworld Technology Cat# MB001H, RRID:AB_2857326)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Relieff is used to predict classification rank, i.e. within the group significance, for each feature in the training set classification, of serum antibody cross-reactivity to 4 different SARS-CoV-2 antigens (N, RBD, Spike) for IgA, IgM and IgG and separately for antibodies for seasonal viruses (OC43, HKU-1, 229E, NL63).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>antigens ( N , RBD , Spike ) for IgA , IgM and IgG</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>NL63</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 ELISA Antigens and Antibodies: To evaluate the functional antibody responses of sCoV antibodies against different SARS-CoV-2 proteins, SARS-CoV-2 S, RBD, and N proteins were used as coating antigen (see antigen production).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Antibodies</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>antigen ( see antigen production) .</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Secondary antibodies: Anti-human IgG-HRP (NRC anti-hIgG#5-HRP</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-human IgG-HRP</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Control antibodies: Anti-SARS-CoV-2 S CR3022 Human IgG1 (Absolute Antibody, Ab01680-10.0), Anti-SARS-CoV-2 S CR3022 Human IgA (Absolute Antibody, Ab01680-16.0), Anti-SARS-CoV-2 S CR3022 Human IgM (Absolute Antibody, Ab01680-15.0), Anti-SARS-CoV-2 S CR3022 Human IgE (Absolute Antibody, Ab01680-14.0), Anti-SARS-CoV-2 S CR3022 Human IgG1 (Absolute Antibody Ab01680-10.0), Anti-SARS-CoV-2 S CR3022 Human IgG2 (Absolute Antibody Ab01680-11.0), Anti-SARS-CoV-2 S CR3022 Human IgG3 (Absolute Antibody Ab01680-12.1), and Anti-SARS-CoV-2 S CR3022 Human Ig4 (Absolute Antibody Ab01680-13.12).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2 S CR3022 Human IgG1</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Human</div><div>suggested: (Imported from the IEDB Cat# CR3022, RRID:AB_2848080)</div></div><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2 S CR3022 Human IgA</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2 S CR3022 Human IgM</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2 S CR3022 Human IgE</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2 S CR3022 Human IgG2</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2 S CR3022 Human IgG3</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2</div><div>suggested: (Abcam Cat# ab273074, RRID:AB_2847846)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The concentration of antigen, antibodies, and sample diluents were kept as above, although the volume was reduced to 10uL per well.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>antigen ,</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The 229E RBD (P15423) was cloned in pCAGGs plasmid with a hexa-his Tag (C-term) with secretory signal (N-term) and transfected into 293F cells maintained in Freestyle 293 expression media (Thermo Fisher, 12338018) at 37°C, 7% CO2, with shaking (125rpm).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293F</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">6 – FLAG tag was synthesized by Genscript with codon-optimization for expression in CHO cells.A biotin acceptor peptide sequence (BAP: GLNDIFEAQKIEWHE) was added in-frame at the C-terminus of ACE2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CHO</div><div>suggested: CLS Cat# 603479/p746_CHO, RRID:CVCL_0213)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The cDNA was cloned into pTT5 and ACE2-BAP cDNA was expressed by transient gene expression in CHO55E1 cells as described above with the addition of 5% (w:w) of pTT5-BirA (E. coli biotin ligase) expression plasmid.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CHO55E1</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Recombinant DNA</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The 229E RBD (P15423) was cloned in pCAGGs plasmid with a hexa-his Tag (C-term) with secretory signal (N-term) and transfected into 293F cells maintained in Freestyle 293 expression media (Thermo Fisher, 12338018) at 37°C, 7% CO2, with shaking (125rpm).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pCAGGs</div><div>suggested: RRID:Addgene_127347)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The spike ectodomain (SARS2: MN908947; OC43: AAT84362.1; HKU1: Q0ZME7.1) cDNA constructs with furin site mutated, two stabilizing prefusion proline mutations, the human resistin as trimerization partner and a C-terminal FLAG-(His)6 (SARS2) or FLAG-Twin Strep Tag-(His)6 (OC43 and HKU1) tag were cloned into pTT241 vector and transfected in CHO2353 to generate stable pools.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pTT241</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The nucleocapsid (SARS2: YP_009724397; OC43: AY391777; HKU1: HM034837) cDNAs with a C-terminal FLAG-Twin Strep Tag-(HisG)6 tag were synthesized by Genscript (Cricetulus griseus codon bias) and cloned in the cDNA into pTT5™ expression plasmid.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pTT5™</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The cDNA was cloned into pTT5 and ACE2-BAP cDNA was expressed by transient gene expression in CHO55E1 cells as described above with the addition of 5% (w:w) of pTT5-BirA (E. coli biotin ligase) expression plasmid.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pTT5</div><div>suggested: RRID:Addgene_52326)</div></div><div style="margin-bottom:8px"><div>pTT5-BirA</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Neutralizing activity was determined by calculating the % inhibition against SARS-CoV-2 S proteins using the following equation:

      Statistical and Machine learning analyses: Data analysis was conducted using GraphPad Prism v9, R and Matlab 2021a (Matworks Inc.).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Sample clustering was performed using fuzzy c-means (FCM) clustering method (fcm function running under Matlab).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Matlab</div><div>suggested: (MATLAB, RRID:SCR_001622)</div></div></td></tr></table>


      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. SciScore for 10.1101/2021.07.14.21260544: (What is this?)

      Please note, not all rigor criteria are appropriate for all manuscripts.

      Table 1: Rigor

      <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Viruses and cells: The use of deidentified positive specimens for the above studies was approved by the University of Washington Institutional Review Board (STUDY00010205).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

      Table 2: Resources

      <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cells were permeabilized with 0.1% 100X Triton in 1× PBS for 15 min and then incubated with a primary, cross-reactive rabbit anti-SARS-CoV N monoclonal antibody (Sinobiological, distributed by Thermo Fisher, Cat. #40143-R001 at a dilution of 1:20,000) followed by a peroxidase-labelled goat anti-rabbit antibody (SeraCare, Milford, MA, USA, Cat. #5220-0336 diluted to 1:2,000) and then the peroxidase substrate (SeraCare, Cat. #5510-0030).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-CoV N</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-rabbit</div><div>suggested: (SeraCare KPL Cat# 5220-0336, RRID:AB_2857917)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Vero E6 or Vero E6-TMPRSS2 cells were seeded in diagonally adjacent wells of 24 well plates (12 wells seeded/plate to minimize cross contamination risk) at 3.5⨯105 cells/well one day prior to infecting.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6-TMPRSS2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Serial ten-fold dilutions of clarified viral supernatants were used to inoculate Vero E6 cell monolayers (60,000 cells/well seeded one day prior) in 96□well white polystyrene microplates (Thermo Fisher, Cat. #07-200-628).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Each 30 µl PCR reaction contained 5 µl of cDNA, 4.7 µl water, 14.3 µl NoROX (Qiagen, Cat. #204745), 0.7 µl Hi Rox (Qiagen, Cat. #204545), 2.5 µl each of 10 uM Tag-F and E_Sarbecco-R primers, and 0.3 µl of 10 µM E_Sarbecco-P probe.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Cat.</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Concentration of the resulting RNA was determined first by NanoDrop spectrophotometer of two high-concentration dilutions (approximately 1 µg/µl and 100 ng/µl) measured in duplicate followed by a dilution in PBS to an approximate concentration of 2×1011 copies/mL, and then by reverse transcription droplet digital PCR (RT-ddPCR) system (Bio-Rad, Hercules, CA, USA) of two low-concentration dilutions (approximately 100 and 10 copies/µl) measured in duplicate with the Mills-sgE primer/probe set.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>NanoDrop</div><div>suggested: None</div></div></td></tr></table>

      Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


      Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
      There are a number of limitations to the work presented here. Most importantly, it is not known whether viral isolation is a perfect laboratory correlate for viral infectivity and transmission in humans, which can vary significantly by time, distance, anatomy or mask wearing, and host immune status. We did not specifically convert CT to viral load given the multiple loci and tests investigated and the presence of mixed genomic and subgenomic transcripts for certain qRT-PCR sets. CT values are strongly assay-and instrument-dependent, and so other labs would need to validate the sensitivity of these primers against independent standard curves in order to calibrate assay performance before putting either the WHO-E CT limit or the Mills-sgE assay into use in their own labs. Finally, this work raises several important questions regarding the basic virology of SARS-CoV-2. The variation in viral titers generated from samples harvested at similar levels of CPE is intriguing, especially as we observed relatively little variation in RNA levels seen in these same samples (Supplemental Table S2). Potential variations in the ratio of infectious virus titers to RNA levels has important implications, as current dogma generally assumes a constant relationship between total RNA and levels of infectious virus in clinical samples. Higher levels of viral RNA correlate with poorer clinical outcomes for instance [38], but in general it has been difficult if not impossible to routinely measure infe...

      Results from TrialIdentifier: No clinical trial numbers were referenced.


      Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


      Results from JetFighter: We did not find any issues relating to colormaps.


      Results from rtransparent:
      • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
      • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
      • No protocol registration statement was detected.

      Results from scite Reference Check: We found no unreliable references.


      <footer>

      About SciScore

      SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

      </footer>

    1. Note: This rebuttal was posted by the corresponding author to Review Commons. Content has not been altered except for formatting.

      Learn more at Review Commons


      Reply to the reviewers

      Reviewer #1 (Evidence, reproducibility and clarity (Required)):

      In this manuscript, Mishima et al., designed a reporter system (dubbed PACE, for Parallel Analysis of Codon Effects) to assess the effect of codon usage in regulating mRNA stability in a controlled sequence context. This reporter corresponds to a stretch of 20 repetitions of a given codon (to be tested for its effect on mRNA stability), each repetition being separated by one codon corresponding to each of the 20 canonical amino acids. This stretch is inserted at the 3' end of the coding sequence of a superfolder GFP flanked with fixed 5' and 3' untranslated regions. In vitro transcribed capped and polyadenylated RNAs are then produced from these reporters (each with a specific stretch of repetitions of a given codon), pooled together and injected into zebrafish zygotes to monitor their relative abundance at different time points upon injection.

      Using the PACE reporter, the authors were able to obtain a quantitative estimation of the impact of 58 out of the 61 sense codons on modulating mRNA stability. Their results are in agreement with a previous report that estimated the effect of codon usage on mRNA stability using endogenous mRNAs and an ORFeome library (Bazzini et al., 2016). However, contrary to relying on endogenous mRNAs and ORFeome reporters, the advantage of the PACE strategy is that the effect of the codon to be studied can be probed in a defined context, thus avoiding the presence of other motifs or transcript features that could also regulate mRNA stability. Similarly to results from Bazzini et al., 2016, the authors show that blocking translation completely abrogates the effect of codon usage, indicating that translation is required to drive codon-dependent mRNA degradation from their reporters. Also, the extent of codon-dependent mRNA decay is correlated with tRNA abundance and occurs through a process involving mRNA deadenylation as previously described in the zebrafish (Mishima et al., 2016 and Bazzini et al., 2016).

      Having validated their PACE protocol, the authors performed ribosome profiling to test whether ribosome occupancy on tested codons is correlated with their capacity to drive mRNA degradation. Their results indicate that, at least for polar amino acids, there is indeed an inverse correlation between ribosome occupancy at tested codons and mRNA stability thus suggesting that slow decoding of codons due to low levels of available cognate tRNA can induce mRNA degradation. The authors further validate this finding by reducing the levels of aminoacylated tRNAAsn (corresponding a polar amino acid) and showing that stability of the reporter RNA carrying a stretch of AAC codons (decoded by tRNAAsnGUU) is reduced. To test whether codon-dependent mRNA degradation in the context of slow ribosome decoding lead to ribosome stalling and collisions, the authors generated a mutant zebrafish strain with impaired expression of ZNF598 (an essential factor of the No-Go decay (NGD) pathway in yeast). They also integrated a known ribosome stalling sequence from hCMV (and a mutant version that does not trigger ribosome stalling) in their sfGFP reporter construct as a positive control for NGD in their assays. Their results indicate that although ZNF598 depletion impairs degradation of the hCMV reporter (as expected), it does not affect codon-dependent mRNA degradation, which appears to occur for most codons through a NGD-independent manner. Finally, through the use of a tandem ORF reporter assay separated by codon tags to be tested, the authors show that destabilizing codons do not stall ribosomes but only lead to their transient slowdown which induces mRNA deadenylation and degradation in a ZNF598-independent manner.

      Overall, the manuscript is very well written and pleasant to read. The introduction is well documented and relevant to the study as it allows readers to place the study in the current context of the field while highlighting open questions that have not been addressed yet. The results are clearly presented, the technical approaches are elegant and the conclusions convincing.

      Below you will find some major and minor points that, in my opinion, should be addressed by the authors.

      **Major point:**

      • One interesting aspect of the PACE reporter assay is the possibility to monitor ribosome occupancy in parallel for all codon-tags tested, which the authors did in Figure 3. However, instead of using RNA-seq data to normalize ribosome footprints and obtain ribosome occupancy, the authors used an alternative normalization approach consisting, for each codon-tag, to calculate the number of ribosome footprints with test codons in the A site divided by the number of ribosome footprints with spacer codons in the A site. This approach is elegant and appears to work with codons corresponding to polar amino acids. However, it might have its limitations for other codons.

      Indeed, ribosome dwell times (in yeast and mammals) have been shown to respond both to tRNA availability but also to other features such as the nature of the pair of adjacent codons, and the nature of the amino acid within the exit channel (Gobet C et al., 2020 PNAS; Gamble CE et al., 2016 Cell; Pavlov MY et al., 2009 PNAS). However, based on the work of "Buschauer R et al., 2020 Science", only ribosomes lacking an accommodated tRNA at the A site are able to recruit Ccr4-Not to mediate mRNA deadenylation and degradation. Other events that increase ribosome dwell time (and thus occupancy), such as slow peptidyl-transfer, do not lead to Ccr4-Not recruitment and are resolved by eIF5A. It is therefore possible that depending on the nature of the codon that is being tested, ribosome occupancy at test and spacer codons can be biased by the nature of codon-pairs and "dilute" the effects of tRNA availability.

      If the authors performed RNA-seq together with the ribosome profiling experiment, it might be interesting to use the RNA-seq data to calculate ribosome occupancy on "tested" and "spacer" codons to check whether using this normalization, they do find a negative correlation between ribosome occupancy and PACE stability. A different approach would be to perform ribosome run-off experiments using harringtonine and estimate the elongation speed across the codon tag. However, I am aware that this experiment could be tedious an expensive.

      • Figure 6: Insertion of the Lys x8 AAA stretch in the tandem ORF reporter leads to a decrease in HA-DsRedEx expression compared to that of Myc-EGFP. However, results from "Juszkiewicz and Hedge, 2017" using a similar reporter in mammalian cells indicate that stretches of Lys AAA below 20 repetitions only elicit poor RQC (less than 10% of true ribosome stalling for 12 repetitions of the AAA codon). Instead, most of the loss in RFP signal results from a change in the reading frame of ribosomes due to the "slippery" translation of the poly(A) stretch. I therefore think that it could be important to perform the experiment in ZNF598 KO embryos to validate that the observed reduction in HA-dsRedEx does indeed result from stalling and RQC and not from a change in the reading frame of ribosomes.

      On a similar note, how do the authors explain the decrease in signal of the Flag-EGFP and HA-DsRedEx observed when using the Flag-EGFP with non-optimal codons? I understand that RQC occurring through NGD leads to ribosome disassembly at the stalling site and possibly mRNA cleavage (thus explaining the decrease in HA-DsRedEx signal compared to Myc-EGFP). However, I would assume that codon-mediated mRNA decay (even for ORF longer than 200 of non-optimal codons) should trigger mRNA deadenylation, followed by decapping and co-translational 5'to3' mRNA degradation, following the last translating ribosome. I would therefore expect not to see any change in the HA-DsRedEx/Myc-EGFP ratio even for the non-optimal Flag-EGFP reporter. Could the 200 non-optimal codons trigger some background RQC through NGD? Or could there be some ribosome drop-off? It might be interesting to test the optimal and non-optimal Flag-EGFP reporters in the ZNF598 KO background to check whether the observed decrease in the relative amount of HA-DsRedEx results from stalling-dependent RQC.

      **Minor comments:**

      • The color-coded CSC results from "Bazzini et al., 2016" presented at the bottom of panel B in figure 2 are misleading because many codons (such as PheUUU, AsnAAU, TyrUAC...) are lacking information. I have the impression that the authors used the combined data from the rCSCI (obtained from the reporter RNAs) and CSC (obtained from endogenous transcripts) corresponding to Figure 1F from Bazzini et al., 2016. This data set excluded all codons that were not concordant between the endogenous and reporter CSCs (which are those that are lacking a color code in Figure 2B from this study). However, in the scatter-plot of PACE Vs CSC (from Supplemental Figure 1D of this study), the authors used the complete set of CSC values from Bazzini et al .,2016. Could the authors please use the complete set of CSC values from Bazzini et al., 2016 to color code codons in their Figure 2B?

      • Figure 4B. The charged tRNA measurements seem to have been done in a single biological replicate (there aren't any error bars in the chart). I understand that the procedure is tedious and requires a large amount of total RNA to begin with, but it would be preferable to perform it in three biological replicates.

      • Supplementary Figure 2B. I do not understand what the figure represents. The legend is quite cryptic and states that the panel corresponds to the information content of each reading frame. More information should be given so that readers can understand how to interpret de figure and extract periodicity information.

      Reviewer #1 (Significance (Required)):

      Since the seminal work from Jeff Coller's laboratory in 2015 (Presnyak et al., 2015 Cell) showing a global and major role for codon optimality in determining mRNA half-lives in yeast, the role of codon usage in modulating translation and stability of mRNAs has been widely studied in different organisms (including zebrafish and mammals). As stated by the authors in the introduction, most studies have relied on correlation analyses between codon usage and mRNA half-lives from endogenous transcripts or from ORF libraries with fixed 5'UTR and 3'UTRs. This approaches could suffer from the presence of transcript features that can participate in other mRNA degradation pathways, which could limit their use when performing further mechanistic studies.

      The work by Mishima and collaborators presents an original reporter assay that allows to evaluate the role of codon usage on regulating mRNA stability in a defined context, thus avoiding the impact of confounding factors that could bias the measurement of mRNA stability. Results obtained using this reporter are in good agreement with previous reports from Zebrafish (Bazzini et al 2016., and Mishima et al., 2016). From this validated reporter approach, the authors further show that codon-dependent mRNA degradation is directly related to tRNA availability and (at least partially) to ribosome occupancy (two factors already suggested as being important for codon-mediated decay in zebrafish, although they were based on correlation analyses). Furthermore, the authors show that codon-mediated mRNA decay occurs during productive mRNA translation and that it is functionally distinct from RQC induced by ribosome stalling. As a consequence, codon-mediated mRNA degradation is independent from the RQC factor ZNF598 (which they also validate for the first time as an important RQC factor in zebrafish). This information is new within metazoans since only in yeast it has been clearly shown that codon-mediated mRNA decay is distinct from RQC induced by ribosome stalling and collisions.

      Taken together, the reported findings will be of interest to the community working on mRNA metabolism and translation. It could also interest, more broadly, scientists working on translational selection and genome evolution.

      Reviewer #2 (Evidence, reproducibility and clarity (Required)):

      In this manuscript, Mishima et al aim to determine if the RNA-mediated decay determined by codon optimality is part of the ribosome quality control pathway, triggered by slowed codon decoding and ribosome stalling or it is an independent pathway.

      To this end, the authors capitalize on their previous work to design a very elegant high-throughput reporter system that can analyze individually codon usage, ribosome occupancy and tRNA abundance. This reporter system, called PACE, is rigorously validated throughout the manuscript, because blocking translation with a morpholino blocking the AUG codon demonstrated that the effects no RNA stability are translation dependent.

      When most of the available codons are tested using the PACE system, the authors recapitulate codon optimality profiles similar to the ones previously uncovered using transcriptome-wide approaches.

      Thanks to the design of the reporter, which alternates repeats of a test codon with random codons, the authors can calculate how quickly a ribosome decodes the test codon on average. With this approach, the authors uncover a negative correlation between RNA stability and ribosome density on codons for polar amino acids and suggest that codon optimality is related to a slower decoding of the codons.

      With the PACE reporter validated, the authors can interrogate the system to gain mechanistic insights of codon optimality. First, they test if RNA decay and deadenylation mediated by codon optimality is determined, in part, by the levels of aminoacylated tRNAs available. The authors use a very elegant approach, as they overexpress a bacterial enzyme (AnsB) in zebrafish that degrades asparagine, effectively reducing the levels of tRNA-Asn. The authors demonstrate that AnsB turns a previously optimal Asn codon, AAC, into a non-optimal one. This effect is translated into RNA destabilization and deadenylation, but this effect in not extended to other codons encoding amino acids not affected by Asn. These results provide a direct experimental validation of the previously published observation of tRNA levels and codon optimality.

      Finally, the authors interrogate the relationship between the codon optimality pathways and the ribosome quality control pathways, that takes care of stalled ribosomes. The authors generate a zebrafish mutant of Znf598, a vertebrate homolog of the yeast protein in charge of resolving stalled ribosomes. Using a maternal-and-zygotic mutant, the authors demonstrate that in these mutant's codon optimality proceeds as usual but ribosome stalling is not resolved, providing evidence for first time that Znf598 is involved in ribosome quality control in vertebrates.

      Altogether, this manuscript presents work that builds on the previous findings of the authors and other labs but it is a qualitative leap forward rather than a marginal increment, because the body of work in the current manuscript i) establishes a reporter to dissect the mechanisms of codon optimality, ii) demonstrates that ribosome slow-down but not stalling is part of the trigger of RNA decay mediated by codon optimality, iii) demonstrates that this pathway is independent of ribosome quality control pathway and finally iv) demonstrates that vertebrate Znf598 is involved in the RNA decay mediated by ribosome stalling.

      Due to these novel findings, and the rigor of the experimental design, this manuscript should be accepted for publication. The authors should first address the following comments:

      **Major comment:**

      1. The authors very elegantly demonstrate the impact of AnsB on the stability of the RNA reporter, and it is precisely the simplicity of the reporter that allows the authors to draw clear conclusions. Nevertheless, it would be interesting to determine if the reporter results in embryos injected with AnsB also translate to endogenous genes rich in AAC codons. The authors could perform a polyA-selected RNA-Seq in embryos treated with AnsB to determine if the transcripts rich in AAC codons are destabilized compared to wild-type, thus validating the reporter results in endogenous genes. **Minor comments:**

      In figure 5J the authors plot the normalized codon tag levels of the PACE reporter run in the MZznf598 mutant. The authors color code the labels in the x-axis following the PACE results in wild-type (figure 2B). The authors should also plot the wild-type values to have a direct visual comparison of the results trend in both genotypes. The authors focus in the title on the role of Znf598 or the lack thereof in RNA decay induced by codon optimality. However, for the non-aficionados in codon-optimality, ZnF598 is an unknown protein and adds little information to the title. The authors should provide a more informative title, directly pinpointing that codon-optimality is independent of the ribosome quality control pathway.

      Reviewer #2 (Significance (Required)):

      This manuscript presents work that builds on the previous findings made by the authors and other laboratories but it is a qualitative leap forward rather than a marginal increment, because the body of work in the current manuscript i) establishes a reporter to dissect the mechanisms of codon optimality, ii) demonstrates that ribosome slow-down but not stalling is part of the trigger of RNA decay mediated by codon optimality, iii) demonstrates that this pathway is independent of ribosome quality control pathway and finally iv) demonstrates that vertebrate Znf598 is involved in the RNA decay mediated by ribosome stalling.

      In addition to the conceptual findings, the authors establish a new high-throughput reporter system to evaluate the influence of codon optimality in RNA decay.

      The work its done in zebrafish embryos, an in vivo model system where codon optimality has been extensively tested by the authors and others, following the stability of reporter and endogenous genes.

      Reviewer #3 (Evidence, reproducibility and clarity (Required)):

      Mishima et al. address a very timely topic of how the codon composition of the ORF and the associated translation elongation speed affect mRNA stability. Several studies have already shown a strong correlation between codon optimality and mRNA stability - meaning the more "optimal" the codons, the faster supposedly the elongation speed and the more stable the mRNA. Most of these studies were done by analyzing global expression data, with limited follow up, therefore being also impacted by other co-translational mRNA decay pathways and in addition these studies could also not test directly the effect of each single codon on mRNA stability. The authors took a systematic reporter-based assay approach, called PACE, which allowed them to test systematically the effect of codon composition on mRNA decay. By integrating also ribosome profiling data, the authors could nicely show that the speed of translation (measured by ribosome density) correlates with their determined mRNA stability effect of each codon and also the corresponding tRNA levels. However, interestingly this seems to be the case only for codons encoding polar amino acids, but not the ones that encode charged or non-polar amino acids. It will be very interesting to find out why that is? Finally, the authors address if some of the effects they see might be due to ribosome collisions and associated no go decay (NGD). For this they generated a Znf598 mutant by CRISPR-Cas9. Znf598 is the proposed homolog of Hel2, the protein in yeast that is essential for NGD. The authors go on to show that NGD is defective in this mutant, but that codon mediated decay, which is elongation dependent, is not to a large part not dependent on Znf598.

      **All minor comments:**

      1. It is intriguing why only polar AAs show a tRNA amount specific effect in the ribosome footprint data. Some hypothesis/discussion about this could be expanded further in the discussion or results.
      2. On the same token some additional analysis might be helpful. For example, in Figure 2E, the authors group codons in weak, neutral and strong based on PACE measurements and then look at the tRNA expression range for each of the three groups. Could the authors do this also separately for the codons of polar, non-polar and charged amino acids? What do you see - still the same pattern as for all the codons or do again only polar amino acids show the trend?
      3. Can the authors elaborate on the development of their PACE system? Why is it designed the way it is? What parameters did they test? For example, why the 20 amino acids tail, did you you test shorter sequences of the amino acid, spacer repeats, etc?
      4. The next few questions are a bit more of a technical nature regarding the reporter construct used for PACE.
      5. Did all AA pairs (Codon of interest + spacer codon) behave the same in the footprint assay? Does the data have enough information and resolution for this?
      6. Was the order of the spacer codons always the same in all the constructs? Could the specific order, if it is consistent, have any unseen consequences (ie. interaction with the exit tunnel)? Did the authors test other orders?
      7. Are the spacer codons optimized?
      8. Are the codons affected in the NGD mutant the ones that are most different in the Bazzini data?
      9. The authors inject directly mRNA into the embryos, therefore avoiding that the reporter mRNA is ever in the nucleus. However, there could be nuclear events (e.g. loading of particular proteins) that might affect the fate of an mRNA in the cytosol, among these the translation efficiency and also stability. Maybe some comment in the discussion as to the effect of missing nuclear factors would be welcome. This is not a criticism; it would just be nice to hear the authors' thoughts on that.
      10. Page 6; final paragraph: "Finally, we compared the speed of the ribosome translating mRNA destabilizing codons to that of an aberrantly stalled ribosome." Not sure the authors did that actually. They tested the effect of ribosome slowing down on protein production and mRNA levels and compared that to stalling ribosomes, but did not compare the "speed" directly and I am not even sure what they mean by that in this context. Probably good to rephrase.

      Page 7, upper half: ".....by taking the positional effect of codon-mediated decay into account (Mishima and Tomari, 2016)."

      This is my limited knowledge of the literature, but I think you should mention what this positional effect is and not just cite a paper.

      Very minor, but on page 8 when PACE is introduced, the authors show the different destabilizing effects of the three Ile codons. While that is ok, in the section before, when the authors tested their construct by qRT-PCR, they focused on the two Leu codons. I would also mention them here and do a direct comparison of the qRT-PCR results with the pooled PACE result for these two codons. Based on the figure the two codons seem to behave qualitatively like expected, but I am not sure how good the quantitative behavior matches. The AnsB experiment - the authors only mention data about one of the two Asn codons (AAC), but what about the second Asn codon (AAU) - do you also see an effect on that codon upon overexpression of AnsB as well? AAU is already a quite destabilizing codon and you might not see a further increase in destabilization, but it would be great to know if there was or not. Page 13, second paragraph: More out of interest, but it is quite intriguing that GCG turned into a destabilizing codon (opposite of what one would expect if NGD would play a bit a role). Any speculation why? Page 14, end of page and related to Figure 6C: AAU seems much more destabilizing than AAC. Therefore, I would have expected that the inserted sequence with the AAU codons would lead actually to downregulation of the mRNA and therefore the EGFP and DsRFP total protein signal relative to the construct with the AAC inserted in between, even if the ratio of EGFP/DsRed seems unchanged. However, based on the western blot in 6C the total protein levels seem very similar. Isn't that surprising? Although, AAU obviously allows translation to proceed it should still induce a stronger mRNA decay than AAC and therefore result in less total mRNA (and protein level as a consequence). Did the authors quantify the exact levels of the reporter proteins and mRNA and compared them between the two constructs? Page 15, last sentence: Somehow for me the word "transient" is a bit hard to grasp in this context. What do you mean by that - do you really mean "impermanent" or "lasting only for a short amount of time"? Don't you simply mean "weaker", "less strong"? Page 17, second sentence: I think the authors want to reference here Figure 2E and not Figure 2D.

      Reviewer #3 (Significance (Required)):

      All in all, I have to say that it was a real pleasure to read this manuscript. The authors were extremely thorough with their experiments and did nearly never overstate any of their conclusions. It is a very insightful story, which in my opinion will contribute greatly to the field of gene expression and posttranscriptional gene expression regulation in particular. The PACE assay, although a bit artificial, gave very clean results, which agree with the previous literature and could be very useful for future studies. Generating the Znf598 mutant and showing that the codon-dependent decay is independent from NGD is a great addition to this paper. Although it is a bit of a pity that we do not see more of a characterization of the Znf598 mutant in this paper, I do agree with the authors that this might take away a bit of the focus of this manuscript and that the mutant deserves actually its own story. I only have very minor comments/questions for the authors that they should be able to address easily. Finally, I can only repeat myself by saying: congrats on this great paper and I fully support publication.

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      Referee #2

      Evidence, reproducibility and clarity

      In this manuscript, Mishima et al aim to determine if the RNA-mediated decay determined by codon optimality is part of the ribosome quality control pathway, triggered by slowed codon decoding and ribosome stalling or it is an independent pathway.

      To this end, the authors capitalize on their previous work to design a very elegant high-throughput reporter system that can analyze individually codon usage, ribosome occupancy and tRNA abundance. This reporter system, called PACE, is rigorously validated throughout the manuscript, because blocking translation with a morpholino blocking the AUG codon demonstrated that the effects no RNA stability are translation dependent.

      When most of the available codons are tested using the PACE system, the authors recapitulate codon optimality profiles similar to the ones previously uncovered using transcriptome-wide approaches.

      Thanks to the design of the reporter, which alternates repeats of a test codon with random codons, the authors can calculate how quickly a ribosome decodes the test codon on average. With this approach, the authors uncover a negative correlation between RNA stability and ribosome density on codons for polar amino acids and suggest that codon optimality is related to a slower decoding of the codons.

      With the PACE reporter validated, the authors can interrogate the system to gain mechanistic insights of codon optimality. First, they test if RNA decay and deadenylation mediated by codon optimality is determined, in part, by the levels of aminoacylated tRNAs available. The authors use a very elegant approach, as they overexpress a bacterial enzyme (AnsB) in zebrafish that degrades asparagine, effectively reducing the levels of tRNA-Asn. The authors demonstrate that AnsB turns a previously optimal Asn codon, AAC, into a non-optimal one. This effect is translated into RNA destabilization and deadenylation, but this effect in not extended to other codons encoding amino acids not affected by Asn. These results provide a direct experimental validation of the previously published observation of tRNA levels and codon optimality.

      Finally, the authors interrogate the relationship between the codon optimality pathways and the ribosome quality control pathways, that takes care of stalled ribosomes. The authors generate a zebrafish mutant of Znf598, a vertebrate homolog of the yeast protein in charge of resolving stalled ribosomes. Using a maternal-and-zygotic mutant, the authors demonstrate that in these mutant's codon optimality proceeds as usual but ribosome stalling is not resolved, providing evidence for first time that Znf598 is involved in ribosome quality control in vertebrates.

      Altogether, this manuscript presents work that builds on the previous findings of the authors and other labs but it is a qualitative leap forward rather than a marginal increment, because the body of work in the current manuscript i) establishes a reporter to dissect the mechanisms of codon optimality, ii) demonstrates that ribosome slow-down but not stalling is part of the trigger of RNA decay mediated by codon optimality, iii) demonstrates that this pathway is independent of ribosome quality control pathway and finally iv) demonstrates that vertebrate Znf598 is involved in the RNA decay mediated by ribosome stalling.

      Due to these novel findings, and the rigor of the experimental design, this manuscript should be accepted for publication. The authors should first address the following comments:

      Major comment:

      1. The authors very elegantly demonstrate the impact of AnsB on the stability of the RNA reporter, and it is precisely the simplicity of the reporter that allows the authors to draw clear conclusions. Nevertheless, it would be interesting to determine if the reporter results in embryos injected with AnsB also translate to endogenous genes rich in AAC codons. The authors could perform a polyA-selected RNA-Seq in embryos treated with AnsB to determine if the transcripts rich in AAC codons are destabilized compared to wild-type, thus validating the reporter results in endogenous genes.

      Minor comments:

      1. In figure 5J the authors plot the normalized codon tag levels of the PACE reporter run in the MZznf598 mutant. The authors color code the labels in the x-axis following the PACE results in wild-type (figure 2B). The authors should also plot the wild-type values to have a direct visual comparison of the results trend in both genotypes.
      2. The authors focus in the title on the role of Znf598 or the lack thereof in RNA decay induced by codon optimality. However, for the non-aficionados in codon-optimality, ZnF598 is an unknown protein and adds little information to the title. The authors should provide a more informative title, directly pinpointing that codon-optimality is independent of the ribosome quality control pathway.

      Significance

      This manuscript presents work that builds on the previous findings made by the authors and other laboratories but it is a qualitative leap forward rather than a marginal increment, because the body of work in the current manuscript i) establishes a reporter to dissect the mechanisms of codon optimality, ii) demonstrates that ribosome slow-down but not stalling is part of the trigger of RNA decay mediated by codon optimality, iii) demonstrates that this pathway is independent of ribosome quality control pathway and finally iv) demonstrates that vertebrate Znf598 is involved in the RNA decay mediated by ribosome stalling.

      In addition to the conceptual findings, the authors establish a new high-throughput reporter system to evaluate the influence of codon optimality in RNA decay.

      The work its done in zebrafish embryos, an in vivo model system where codon optimality has been extensively tested by the authors and others, following the stability of reporter and endogenous genes.

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      Referee #1

      Evidence, reproducibility and clarity

      In this manuscript, Mishima et al., designed a reporter system (dubbed PACE, for Parallel Analysis of Codon Effects) to assess the effect of codon usage in regulating mRNA stability in a controlled sequence context. This reporter corresponds to a stretch of 20 repetitions of a given codon (to be tested for its effect on mRNA stability), each repetition being separated by one codon corresponding to each of the 20 canonical amino acids. This stretch is inserted at the 3' end of the coding sequence of a superfolder GFP flanked with fixed 5' and 3' untranslated regions. In vitro transcribed capped and polyadenylated RNAs are then produced from these reporters (each with a specific stretch of repetitions of a given codon), pooled together and injected into zebrafish zygotes to monitor their relative abundance at different time points upon injection.

      Using the PACE reporter, the authors were able to obtain a quantitative estimation of the impact of 58 out of the 61 sense codons on modulating mRNA stability. Their results are in agreement with a previous report that estimated the effect of codon usage on mRNA stability using endogenous mRNAs and an ORFeome library (Bazzini et al., 2016). However, contrary to relying on endogenous mRNAs and ORFeome reporters, the advantage of the PACE strategy is that the effect of the codon to be studied can be probed in a defined context, thus avoiding the presence of other motifs or transcript features that could also regulate mRNA stability. Similarly to results from Bazzini et al., 2016, the authors show that blocking translation completely abrogates the effect of codon usage, indicating that translation is required to drive codon-dependent mRNA degradation from their reporters. Also, the extent of codon-dependent mRNA decay is correlated with tRNA abundance and occurs through a process involving mRNA deadenylation as previously described in the zebrafish (Mishima et al., 2016 and Bazzini et al., 2016). Having validated their PACE protocol, the authors performed ribosome profiling to test whether ribosome occupancy on tested codons is correlated with their capacity to drive mRNA degradation. Their results indicate that, at least for polar amino acids, there is indeed an inverse correlation between ribosome occupancy at tested codons and mRNA stability thus suggesting that slow decoding of codons due to low levels of available cognate tRNA can induce mRNA degradation. The authors further validate this finding by reducing the levels of aminoacylated tRNAAsn (corresponding a polar amino acid) and showing that stability of the reporter RNA carrying a stretch of AAC codons (decoded by tRNAAsnGUU) is reduced. To test whether codon-dependent mRNA degradation in the context of slow ribosome decoding lead to ribosome stalling and collisions, the authors generated a mutant zebrafish strain with impaired expression of ZNF598 (an essential factor of the No-Go decay (NGD) pathway in yeast). They also integrated a known ribosome stalling sequence from hCMV (and a mutant version that does not trigger ribosome stalling) in their sfGFP reporter construct as a positive control for NGD in their assays. Their results indicate that although ZNF598 depletion impairs degradation of the hCMV reporter (as expected), it does not affect codon-dependent mRNA degradation, which appears to occur for most codons through a NGD-independent manner. Finally, through the use of a tandem ORF reporter assay separated by codon tags to be tested, the authors show that destabilizing codons do not stall ribosomes but only lead to their transient slowdown which induces mRNA deadenylation and degradation in a ZNF598-independent manner.

      Overall, the manuscript is very well written and pleasant to read. The introduction is well documented and relevant to the study as it allows readers to place the study in the current context of the field while highlighting open questions that have not been addressed yet. The results are clearly presented, the technical approaches are elegant and the conclusions convincing.

      Below you will find some major and minor points that, in my opinion, should be addressed by the authors.

      Major point:

      • One interesting aspect of the PACE reporter assay is the possibility to monitor ribosome occupancy in parallel for all codon-tags tested, which the authors did in Figure 3. However, instead of using RNA-seq data to normalize ribosome footprints and obtain ribosome occupancy, the authors used an alternative normalization approach consisting, for each codon-tag, to calculate the number of ribosome footprints with test codons in the A site divided by the number of ribosome footprints with spacer codons in the A site. This approach is elegant and appears to work with codons corresponding to polar amino acids. However, it might have its limitations for other codons.

      Indeed, ribosome dwell times (in yeast and mammals) have been shown to respond both to tRNA availability but also to other features such as the nature of the pair of adjacent codons, and the nature of the amino acid within the exit channel (Gobet C et al., 2020 PNAS; Gamble CE et al., 2016 Cell; Pavlov MY et al., 2009 PNAS). However, based on the work of "Buschauer R et al., 2020 Science", only ribosomes lacking an accommodated tRNA at the A site are able to recruit Ccr4-Not to mediate mRNA deadenylation and degradation. Other events that increase ribosome dwell time (and thus occupancy), such as slow peptidyl-transfer, do not lead to Ccr4-Not recruitment and are resolved by eIF5A. It is therefore possible that depending on the nature of the codon that is being tested, ribosome occupancy at test and spacer codons can be biased by the nature of codon-pairs and "dilute" the effects of tRNA availability.

      If the authors performed RNA-seq together with the ribosome profiling experiment, it might be interesting to use the RNA-seq data to calculate ribosome occupancy on "tested" and "spacer" codons to check whether using this normalization, they do find a negative correlation between ribosome occupancy and PACE stability. A different approach would be to perform ribosome run-off experiments using harringtonine and estimate the elongation speed across the codon tag. However, I am aware that this experiment could be tedious an expensive.

      • Figure 6: Insertion of the Lys x8 AAA stretch in the tandem ORF reporter leads to a decrease in HA-DsRedEx expression compared to that of Myc-EGFP. However, results from "Juszkiewicz and Hedge, 2017" using a similar reporter in mammalian cells indicate that stretches of Lys AAA below 20 repetitions only elicit poor RQC (less than 10% of true ribosome stalling for 12 repetitions of the AAA codon). Instead, most of the loss in RFP signal results from a change in the reading frame of ribosomes due to the "slippery" translation of the poly(A) stretch. I therefore think that it could be important to perform the experiment in ZNF598 KO embryos to validate that the observed reduction in HA-dsRedEx does indeed result from stalling and RQC and not from a change in the reading frame of ribosomes. On a similar note, how do the authors explain the decrease in signal of the Flag-EGFP and HA-DsRedEx observed when using the Flag-EGFP with non-optimal codons? I understand that RQC occurring through NGD leads to ribosome disassembly at the stalling site and possibly mRNA cleavage (thus explaining the decrease in HA-DsRedEx signal compared to Myc-EGFP). However, I would assume that codon-mediated mRNA decay (even for ORF longer than 200 of non-optimal codons) should trigger mRNA deadenylation, followed by decapping and co-translational 5'to3' mRNA degradation, following the last translating ribosome. I would therefore expect not to see any change in the HA-DsRedEx/Myc-EGFP ratio even for the non-optimal Flag-EGFP reporter. Could the 200 non-optimal codons trigger some background RQC through NGD? Or could there be some ribosome drop-off? It might be interesting to test the optimal and non-optimal Flag-EGFP reporters in the ZNF598 KO background to check whether the observed decrease in the relative amount of HA-DsRedEx results from stalling-dependent RQC.

      Minor comments:

      • The color-coded CSC results from "Bazzini et al., 2016" presented at the bottom of panel B in figure 2 are misleading because many codons (such as PheUUU, AsnAAU, TyrUAC...) are lacking information. I have the impression that the authors used the combined data from the rCSCI (obtained from the reporter RNAs) and CSC (obtained from endogenous transcripts) corresponding to Figure 1F from Bazzini et al., 2016. This data set excluded all codons that were not concordant between the endogenous and reporter CSCs (which are those that are lacking a color code in Figure 2B from this study). However, in the scatter-plot of PACE Vs CSC (from Supplemental Figure 1D of this study), the authors used the complete set of CSC values from Bazzini et al .,2016. Could the authors please use the complete set of CSC values from Bazzini et al., 2016 to color code codons in their Figure 2B?
      • Figure 4B. The charged tRNA measurements seem to have been done in a single biological replicate (there aren't any error bars in the chart). I understand that the procedure is tedious and requires a large amount of total RNA to begin with, but it would be preferable to perform it in three biological replicates.
      • Supplementary Figure 2B. I do not understand what the figure represents. The legend is quite cryptic and states that the panel corresponds to the information content of each reading frame. More information should be given so that readers can understand how to interpret de figure and extract periodicity information.

      Significance

      Since the seminal work from Jeff Coller's laboratory in 2015 (Presnyak et al., 2015 Cell) showing a global and major role for codon optimality in determining mRNA half-lives in yeast, the role of codon usage in modulating translation and stability of mRNAs has been widely studied in different organisms (including zebrafish and mammals). As stated by the authors in the introduction, most studies have relied on correlation analyses between codon usage and mRNA half-lives from endogenous transcripts or from ORF libraries with fixed 5'UTR and 3'UTRs. This approaches could suffer from the presence of transcript features that can participate in other mRNA degradation pathways, which could limit their use when performing further mechanistic studies.

      The work by Mishima and collaborators presents an original reporter assay that allows to evaluate the role of codon usage on regulating mRNA stability in a defined context, thus avoiding the impact of confounding factors that could bias the measurement of mRNA stability. Results obtained using this reporter are in good agreement with previous reports from Zebrafish (Bazzini et al 2016., and Mishima et al., 2016). From this validated reporter approach, the authors further show that codon-dependent mRNA degradation is directly related to tRNA availability and (at least partially) to ribosome occupancy (two factors already suggested as being important for codon-mediated decay in zebrafish, although they were based on correlation analyses). Furthermore, the authors show that codon-mediated mRNA decay occurs during productive mRNA translation and that it is functionally distinct from RQC induced by ribosome stalling. As a consequence, codon-mediated mRNA degradation is independent from the RQC factor ZNF598 (which they also validate for the first time as an important RQC factor in zebrafish). This information is new within metazoans since only in yeast it has been clearly shown that codon-mediated mRNA decay is distinct from RQC induced by ribosome stalling and collisions.

      Taken together, the reported findings will be of interest to the community working on mRNA metabolism and translation. It could also interest, more broadly, scientists working on translational selection and genome evolution.

    1. Reviewer #1 (Public Review):

      Strength: Chromatin remodelers regulate chromatin-templated functions through mobilizing and positioning nucleosomes; however, the molecular mechanisms underlying the binding and target-search remain obscure. Kim et al. utilize the powerful live-cell single-molecule tracking technique to investigate the binding and target-search kinetics of a comprehensive set of ATP-dependent chromatin remodelers. They endogenously tag the catalytic subunits of 6 major chromatin remodeling complexes and find that these remodelers reside at chromatin with 4-7 s mean residence times. Their results indicate these chromatin remodelers frequently transition between bound and free states. By using the remodeler mutants that are defective in binding or hydrolyzing ATP, they uncover that the ATPase activity is critical for dissociation of remodelers from chromatin. They reveal that ATP binding rather than ATP hydrolysis facilitates mobility of chromatin-bound fraction of remodelers at chromatin. Finally, they calculate the temporal occupancy of remodelers. Based upon these novel results, they provide a 'tug-of-war' model that explain how remodelers temporally control accessibility of promoters for transcription initiation. These results well support the authors; claims and conclusions and provide novel insights into the dynamic process underlying how remodelers search, locate, and bind target sites.

      Weakness: There is no major weaknesses of the manuscript. Re-analysis of some data will strength this manuscript but will not change the claims and conclusions.

    2. Reviewer #3 (Public Review):

      The paper by Kim et al uses elegant Halo-tag imaging techniques to study the dynamics of a set of 6 nucleosome remodelers in yeast. They model their data to show two populations of slower and faster turnover or movement, and find that remodeler mobility sits appropriately between that of histones and free Halo tag. The authors find that ATP binding (and not necessarily hydrolysis) regulates the rapid movement, as mutations in the Walker A (and to a lesser extent, Walker B motif in CHD1 and ISW2) reduce movement. They suggest that ATP hydrolysis facilitates a rapid movement along the chromatid fiber. Transcriptional elongation is not a source of remodeler movement, on the other hand.

      Complementing other data that supports a model of a "tug-of-war" between various types of remodelers at promoters, the authors argue for nucleosomal "pushing and pulling" (split among pushers and puller enzyme complexes that turn over rapidly) as a mode for balancing promoter accessibility.