10,000 Matching Annotations
  1. Nov 2025
    1. eLife Assessment

      The authors combine experiments and mathematical modeling to determine how the infectivity of human cytomegalovirus scales with the viral concentration in the inoculum, i.e., considering the multiplicity of infection (MOI). They propose and test different model assumptions to explain a mechanism termed "apparent cooperativity" of virions based on an observed super-linear increase in the number of infected cells with increasing inocula. The authors present a solid study showing valuable findings for virologists and quantitative scientists working on the analysis and interpretation of viral infection dynamics. Some of the presented aspects would benefit from additional clarification.

    2. Reviewer #1 (Public review):

      Summary:

      In this paper, the authors conduct both experiments and modeling of human cytomegalovirus (HCMV) infection in vitro to study how the infectivity of the virus (measured by cell infection) scales with the viral concentration in the inoculum. A naïve thought would be that this is linear in the sense that doubling the virus concentration (and thus the total virus) in the inoculum would lead to doubling the fraction of infected cells. However, the authors show convincingly that this is not the case for HCMV, using multiple strains, two different target cells, and repeated experiments. In fact, they find that for some regimens (inoculum concentration), infected cells increase faster than the concentration of the inoculum, which they term "apparent cooperativity". The authors then provided possible explanations for this phenomenon and constructed mathematical models and simulations to implement these explanations. They show that these ideas do help explain the cooperativity, but they can't be conclusive as to what the correct explanation is. In any case, this advances our knowledge of the system, and it is very important when quantitative experiments involving MOI are performed.

      Strengths:

      Careful experiments using state-of-the-art methodologies and advancing multiple competing models to explain the data.

      Weaknesses:

      There are minor weaknesses in explaining the implementation of the model. However, some specific assumptions, which to this reviewer were unclear, could have a substantial impact on the results. For example, whether cell infection is independent or not. This is expanded below.

      Suggestions to clarify the study:

      (1) Mathematically, it is clear what "increase linearly" or "increase faster than linearly" (e.g., line 94) means. However, it may be confusing for some readers to then look at plots such as in Figure 2, which appear linear (but on the log-log scale) and about which the authors also say (line 326) "data best matching the linear relationship on a log-log scale".

      (2) One of the main issues that is unclear to me is whether the authors assume that cell infection is independent of other cells. This could be a very important issue affecting their results, both when analyzing the experimental data and running the simulations. One possible outcome of infection could be the generation of innate mediators that could protect (alter the resistance) of nearby cells. I can imagine two opposite results of this: i) one possibility is that resistance would lead to lower infection frequencies and this would result in apparent sub-linear infection (contrary to the observations); or ii) inoculums with more virus lead to faster infection, which doesn't allow enough time for the "resistance" (innate effect) to spread (potentially leading to results similar to the observations, supra-linear infection).

      (3) Another unclear aspect of cell infection is whether each cell only has one chance to be infected or multiple chances, i.e., do the authors run the simulation once over all the cells or more times?

      (4) On the other hand, the authors address the complementary issue of the virus acting independently or not, with their clumping model (which includes nice experimental measurements). However, it was unclear to me what the assumption of the simulation is in this case. In the case of infection by a clump of virus or "viral compensation", when infection is successful (the cell becomes infected), how many viruses "disappear" and what happens to the rest? For example, one of the viruses of the clump is removed by infection, but the others are free to participate in another clump, or they also disappear. The only thing I found about this is the caption of Figure S10, and it seems to indicate that only the infected virus is removed. However, a typical assumption, I think, is that viruses aggregate to improve infection, but then the whole aggregate participates in infection of a single cell, and those viruses in the clump can't participate in other infections. Viral cooperativity with higher inocula in this case would be, perhaps, the result of larger numbers of clumps for higher inocula. This seems in agreement with Figure S8, but was a little unclear in the interpretation provided.

      (5) In algorithm 1, how does P_i, as defined, relate to equation 1?

      (6) In line 228, and several other places (e.g., caption of Table S2), the authors refer to the probability of a single genome infecting a cell p(1)=exp(-lambda), but shouldn't it be p(1)=1-exp(-lambda) according to equation 1?

      (7) In line 304, the accrued damage hypothesis is defined, but it is stated as a triggering of an antiviral response; one would assume that exposure to a virion should increase the resistance to infection. Otherwise, the authors are saying that evolution has come up with intracellular viral resistance mechanisms that are detrimental to the cell. As I mentioned above, this could also be a mechanism for non-independent cell infection. For example, infected cells signal to neighboring cells to "become resistance" to infection. This would also provide a mechanism for saturation at high levels.

      (8) In Figure 3, and likely other places, t-tests are used for comparisons, but with only an n=5 (experiments). Many would prefer a non-parametric test.

    3. Reviewer #2 (Public review):

      In their article, Peterson et al. wanted to show to what extent the classical "single hit" model of virion infection, where one virion is required to infect a cell, does not match empirical observations based on human cytomegalovirus in vitro infection model, and how this would have practical impacts in experimental protocols.

      They first used a very simple experimental assay, where they infected cells with serially diluted virions and measured the proportion of infected cells with flow cytometry. From this, they could elegantly show how the proportion of infected cells differed from a "single hit" model, which they simulated using a simple mathematical model ("powerlaw model"), and better fit a model where virions need to cooperate to infect cells. They then explore which mechanism could explain this apparent cooperation:

      (1) Stochasticity alone cannot explain the results, although I am unsure how generalizable the results are, because the mathematical model chosen cannot, by design, explain such observations only by stochasticity.

      (2) Virion clumping seemed not to be enough either to generally explain such a pattern. For that, they first use a mathematical model showing that the apparent cooperation would be small. However, I am unsure how extreme the scenario of simulated virion clumping is. They then used dynamic light scattering to measure the distribution of the sizes of clumps. From these estimates, they show that virion clumps cannot reproduce the observed virion cooperation in serial dilution assays. However, the authors remain unprecise on how the uncertainty of these clumps' size distribution would impact the results, as most clumps have a size smaller than a single virion, leaving therefore a limited number of clumps truly containing virions.

      The two models remain unidentifiable from each other but could explain the apparent virion cooperativity: either due to an increase in susceptibility of the cell each time a virion tries to infect it, or due to viral compensation, where lesser fit viruses are able to infect cells in co-infection with a better fit virion. Unfortunately, the authors here do not attempt to fit their mathematical model to the experimental data but only show that theoretical models and experimental data generate similar patterns regarding virion apparent cooperation.

      Finally, the authors show that this virions cooperation could make the relationship between the estimated multiplicity of infection and viruses/cell deviate from the 1:1 relationship. Consequently, the dilution of a virion stock would lead to an even stronger decrease in infectivity, as more diluted virions can cooperate less for infection.

      Overall, this work is very valuable as it raises the general question of how the estimate of infectivity can be biased if extrapolated from a single virus titer assay. The observation that HCMV virions often cooperate and that this cooperation varies between contexts seems robust. The putative biological explanations would require further exploration.

      This topic is very well known in the case of segmented viruses and the semi-infectious particles, leading to the idea of studying "sociovirology", but to my knowledge, this is the first time that it was explored for a nonsegmented virus, and in the context of MOI estimation.

    4. Reviewer #3 (Public review):

      Summary:

      The authors dilute fluorescent HCMV stocks in small steps (df ≈ 1.3-1.5) across 23 points, quantify infections by flow cytometry at 3 dpi, and fit a power-law model to estimate a cooperativity parameter n (n > 1 indicates apparent cooperativity). They compare fibroblasts vs epithelial cells and multiple strains/reporters, and explore alternative mechanisms (clumping, accrued damage, viral compensation) via analytical modeling and stochastic simulations. They discuss implications for titer/MOI estimation and suggest a method for detecting "apparent cooperativity," noting that for viruses showing this behavior, MOI estimation may be biased.

      Strengths:

      (1) High-resolution titration & rigor: The small-step dilution design (23 serial dilutions; tailored df) improves dose-response resolution beyond conventional 10× series.

      (2) Clear quantitative signal: Multiple strain-cell pairs show n > 1, with appropriate model fitting and visualization of the linear regime on log-log axes.

      (3) Mechanistic exploration: Side-by-side modeling of clumping vs accrued damage vs compensation frames testable hypotheses for cooperativity.

      Weaknesses:

      (1) Secondary infection control: The authors argue that 3 dpi largely avoids progeny-mediated secondary infection; this claim should be strengthened (e.g., entry inhibitors/control infections) or add sensitivity checks showing results are robust to a small secondary-infection contribution.

      (2) Discriminating mechanisms: At present, simulations cannot distinguish between accrued damage and viral compensation. The authors should propose or add a decisive experiment (e.g., dual-color coinfection to quantify true coinfection rates versus "priming" without coinfection; timed sequential inocula) and outline expected signatures for each mechanism.

      (3) Decline at high genomes/cell: Several datasets show a downturn at high input. Hypotheses should be provided (cytotoxicity, receptor depletion, and measurement ceiling) and any supportive controls.

      (4) Include experimental data: In Figure 6, please include the experimentally measured titers (IU/mL), if available.

      (5) MOI guidance: The practical guidance is important; please add a short "best-practice box" (how to determine titer at multiple genomes/cell and cell densities; when single-hit assumptions fail) for end-users.

    5. Author response:

      Reviewer #1 (Public review):

      Summary:

      In this paper, the authors conduct both experiments and modeling of human cytomegalovirus (HCMV) infection in vitro to study how the infectivity of the virus (measured by cell infection) scales with the viral concentration in the inoculum. A naïve thought would be that this is linear in the sense that doubling the virus concentration (and thus the total virus) in the inoculum would lead to doubling the fraction of infected cells. However, the authors show convincingly that this is not the case for HCMV, using multiple strains, two different target cells, and repeated experiments. In fact, they find that for some regimens (inoculum concentration), infected cells increase faster than the concentration of the inoculum, which they term "apparent cooperativity". The authors then provided possible explanations for this phenomenon and constructed mathematical models and simulations to implement these explanations. They show that these ideas do help explain the cooperativity, but they can't be conclusive as to what the correct explanation is. In any case, this advances our knowledge of the system, and it is very important when quantitative experiments involving MOI are performed.

      Strengths:

      Careful experiments using state-of-the-art methodologies and advancing multiple competing models to explain the data.

      Weaknesses:

      There are minor weaknesses in explaining the implementation of the model. However, some specific assumptions, which to this reviewer were unclear, could have a substantial impact on the results. For example, whether cell infection is independent or not. This is expanded below.

      Suggestions to clarify the study:

      (1) Mathematically, it is clear what "increase linearly" or "increase faster than linearly" (e.g., line 94) means. However, it may be confusing for some readers to then look at plots such as in Figure 2, which appear linear (but on the log-log scale) and about which the authors also say (line 326) "data best matching the linear relationship on a log-log scale". 

      This is a good point. In our revision, we will include a clarification to indicate that linear on the log-log scale relationship does not imply linear relationship on the linear-linear scale.

      (2) One of the main issues that is unclear to me is whether the authors assume that cell infection is independent of other cells. This could be a very important issue affecting their results, both when analyzing the experimental data and running the simulations. One possible outcome of infection could be the generation of innate mediators that could protect (alter the resistance) of nearby cells. I can imagine two opposite results of this: i) one possibility is that resistance would lead to lower infection frequencies and this would result in apparent sub-linear infection (contrary to the observations); or ii) inoculums with more virus lead to faster infection, which doesn't allow enough time for the "resistance" (innate effect) to spread (potentially leading to results similar to the observations, supra-linear infection). 

      In our models we assumed cells to be independent of each other (see also responses to other similar points). Because we measure infection in individual cells, assuming cells are independent is a reasonable first approximation. However, the reviewer makes an excellent point that there may be some between-cell signaling happening in the culture that “alerts” or “conditions” cells to change their “resistance”. It is also possible that at higher genome/cell numbers, exposure of cells to virions or virion debris may change the state of cells in the culture, and more cells become “susceptible” to infection. This is a good point that we will list in Limitations subsection of Discussion; it is a good hypothesis to test in our future experiments.

      (3) Another unclear aspect of cell infection is whether each cell only has one chance to be infected or multiple chances, i.e., do the authors run the simulation once over all the cells or more times? 

      Each cell has only one chance to be infected. Algorithm 1 clearly states that; we will add an extra sentence in “Agent-based simulations” to indicate this point.

      (4) On the other hand, the authors address the complementary issue of the virus acting independently or not, with their clumping model (which includes nice experimental measurements). However, it was unclear to me what the assumption of the simulation is in this case. In the case of infection by a clump of virus or "viral compensation", when infection is successful (the cell becomes infected), how many viruses "disappear" and what happens to the rest? For example, one of the viruses of the clump is removed by infection, but the others are free to participate in another clump, or they also disappear. The only thing I found about this is the caption of Figure S10, and it seems to indicate that only the infected virus is removed. However, a typical assumption, I think, is that viruses aggregate to improve infection, but then the whole aggregate participates in infection of a single cell, and those viruses in the clump can't participate in other infections. Viral cooperativity with higher inocula in this case would be, perhaps, the result of larger numbers of clumps for higher inocula. This seems in agreement with Figure S8, but was a little unclear in the interpretation provided. 

      This is a good point. We did not remove the clump if one of the virions in the clump manages to infect a cell, and indeed, this could be the reason why in some simulations we observe apparent cooperativity when modeling viral clumping. This is something we will explore in our revision.

      (5) In algorithm 1, how does P_i, as defined, relate to equation 1? 

      These are unrelated because eqn.(1) is a phenomenological model that links infection per cell to genomes per cell. P_i in algorithm 1 is “physics-inspired” potential barrier.

      (6) In line 228, and several other places (e.g., caption of Table S2), the authors refer to the probability of a single genome infecting a cell p(1)=exp(-lambda), but shouldn't it be p(1)=1-exp(-lambda) according to equation 1?

      Indeed, it was a typo, p(1)=1-exp(-lambda) per eqn 1. Thank you, it will be corrected in the revised paper.

      (7) In line 304, the accrued damage hypothesis is defined, but it is stated as a triggering of an antiviral response; one would assume that exposure to a virion should increase the resistance to infection. Otherwise, the authors are saying that evolution has come up with intracellular viral resistance mechanisms that are detrimental to the cell. As I mentioned above, this could also be a mechanism for non-independent cell infection. For example, infected cells signal to neighboring cells to "become resistance" to infection. This would also provide a mechanism for saturation at high levels. 

      We do not know how exposure of a cell to one virion would change its “antiviral state”, i.e., to become more or less resistant to the next infection. If a cell becomes more resistant, there is no possibility to observe apparent cooperativity in infection of cells, so this hypothesis cannot explain our observations with n>1. Whether this mechanism plays a role in saturation of cell infection rate at lower than 1 value when genome/cell is large is unclear but is a possibility. We will add this point to Discussion in revision.

      (8) In Figure 3, and likely other places, t-tests are used for comparisons, but with only an n=5 (experiments). Many would prefer a non-parametric test. 

      We repeated the analyses in Fig 3 with Mann-Whitney test, results were the same, so we would like to keep results from the t-test in the paper.

      Reviewer #2 (Public review):

      In their article, Peterson et al. wanted to show to what extent the classical "single hit" model of virion infection, where one virion is required to infect a cell, does not match empirical observations based on human cytomegalovirus in vitro infection model, and how this would have practical impacts in experimental protocols.

      They first used a very simple experimental assay, where they infected cells with serially diluted virions and measured the proportion of infected cells with flow cytometry. From this, they could elegantly show how the proportion of infected cells differed from a "single hit" model, which they simulated using a simple mathematical model ("powerlaw model"), and better fit a model where virions need to cooperate to infect cells. They then explore which mechanism could explain this apparent cooperation:

      (1) Stochasticity alone cannot explain the results, although I am unsure how generalizable the results are, because the mathematical model chosen cannot, by design, explain such observations only by stochasticity. 

      Our null model simulations are not just about stochasticity; they also include variability in virion infectivity and cell resistance to infection. We agree that simulations cannot truly prove that such variability cannot result in apparent cooperativity; however, we also provide a mathematical proof that increase in frequency of infected cells should be linear with virion concentration at small genome/cell numbers.

      (2) Virion clumping seemed not to be enough either to generally explain such a pattern. For that, they first use a mathematical model showing that the apparent cooperation would be small. However, I am unsure how extreme the scenario of simulated virion clumping is. They then used dynamic light scattering to measure the distribution of the sizes of clumps. From these estimates, they show that virion clumps cannot reproduce the observed virion cooperation in serial dilution assays. However, the authors remain unprecise on how the uncertainty of these clumps' size distribution would impact the results, as most clumps have a size smaller than a single virion, leaving therefore a limited number of clumps truly containing virions. 

      As we stated in the paper, clumping may explain apparent cooperativity in simulations depending on how stock dilution impacts distribution of virions/clump. This could be explored further, however, better experimental measurements of virions/clump would be highly informative (but we do not have resources to do these experiments at present). Our point is that the degree of apparent cooperativity is dependent on the target cell used (n is smaller on epithelial cells than on fibroblasts) that is difficult to explain by clumping which is a virion property. Per comment by reviewer 1, we will do some more analyses of the clumping model to investigate importance of clump removal per successful infection on the detected degree of apparent cooperativity.

      The two models remain unidentifiable from each other but could explain the apparent virion cooperativity: either due to an increase in susceptibility of the cell each time a virion tries to infect it, or due to viral compensation, where lesser fit viruses are able to infect cells in co-infection with a better fit virion. Unfortunately, the authors here do not attempt to fit their mathematical model to the experimental data but only show that theoretical models and experimental data generate similar patterns regarding virion apparent cooperation. 

      In the revision we will provide examples of simulations that “match” experimental data with a relatively high degree of apparent cooperativity; we have done those before but excluded them from the current version since they are a bit messy. Fitting simulations to data may be an overkill.

      Finally, the authors show that this virions cooperation could make the relationship between the estimated multiplicity of infection and viruses/cell deviate from the 1:1 relationship. Consequently, the dilution of a virion stock would lead to an even stronger decrease in infectivity, as more diluted virions can cooperate less for infection.

      Overall, this work is very valuable as it raises the general question of how the estimate of infectivity can be biased if extrapolated from a single virus titer assay. The observation that HCMV virions often cooperate and that this cooperation varies between contexts seems robust. The putative biological explanations would require further exploration.

      This topic is very well known in the case of segmented viruses and the semi-infectious particles, leading to the idea of studying "sociovirology", but to my knowledge, this is the first time that it was explored for a nonsegmented virus, and in the context of MOI estimation. 

      Thank you.

      Reviewer #3 (Public review): 

      Summary:

      The authors dilute fluorescent HCMV stocks in small steps (df ≈ 1.3-1.5) across 23 points, quantify infections by flow cytometry at 3 dpi, and fit a power-law model to estimate a cooperativity parameter n (n > 1 indicates apparent cooperativity). They compare fibroblasts vs epithelial cells and multiple strains/reporters, and explore alternative mechanisms (clumping, accrued damage, viral compensation) via analytical modeling and stochastic simulations. They discuss implications for titer/MOI estimation and suggest a method for detecting "apparent cooperativity," noting that for viruses showing this behavior, MOI estimation may be biased.

      Strengths:

      (1) High-resolution titration & rigor: The small-step dilution design (23 serial dilutions; tailored df) improves dose-response resolution beyond conventional 10× series.

      (2) Clear quantitative signal: Multiple strain-cell pairs show n > 1, with appropriate model fitting and visualization of the linear regime on log-log axes.

      (3) Mechanistic exploration: Side-by-side modeling of clumping vs accrued damage vs compensation frames testable hypotheses for cooperativity. 

      Thank you.

      Weaknesses:

      (1) Secondary infection control: The authors argue that 3 dpi largely avoids progeny-mediated secondary infection; this claim should be strengthened (e.g., entry inhibitors/control infections) or add sensitivity checks showing results are robust to a small secondary-infection contribution. 

      This is an important point. We do believe that the current knowledge about HCMV virion production time – it takes 3-4 days to make virions per multiple papers (see Fig 7 in Vonka and Benyesh-Melnick JB 1966; Fig 3B in Stanton et al JCI 2010; and Fig 1A in Li et al. PNAS 2015) – is sufficient to justify our experimental design but we do agree that an additional control to block novel infections with would be useful. We had previously performed experiments with a HCMV TB-gL-KO that cannot make infectious virions (but the stock virions can be made from complemented target cells). We will investigate if our titration experiments with this virus strain have sufficient resolution to detect apparent cooperativity. However, at present we do not have the resources to perform novel experiments.  

      (2) Discriminating mechanisms: At present, simulations cannot distinguish between accrued damage and viral compensation. The authors should propose or add a decisive experiment (e.g., dual-color coinfection to quantify true coinfection rates versus "priming" without coinfection; timed sequential inocula) and outline expected signatures for each mechanism. 

      Excellent suggestion. Because infection of a cell is a result of the joint viral infectivity and cell resistance, it may be hard to discriminate between these alternatives unless we specify them as particular molecular mechanisms. But we will try our best and list potential future experiments in the revised version of the paper.

      (3) Decline at high genomes/cell: Several datasets show a downturn at high input. Hypotheses should be provided (cytotoxicity, receptor depletion, and measurement ceiling) and any supportive controls. 

      Another good point. We do not have a good explanation, but we do not believe this is because of saturation of available target cells.  It seemed to only happen (or was most pronounced) with the ME stocks, which are typically lower in titer and so the higher MOI were nearly undiluted stock. It may be the effect of the conditioned medium.  Or perhaps there are non-infectious particles like dense bodies (enveloped particles that lack a capsid and genome) and non-infectious, enveloped particles (NIEPs) that compete for receptors or otherwise damage cells and these don’t get diluted out at the higher doses.  We plan to include these points in Discussion of the revised version of the paper.

      (4) Include experimental data: In Figure 6, please include the experimentally measured titers (IU/mL), if available. 

      This is a model-simulated scenario, and as such, there is no measured titers.

      (5) MOI guidance: The practical guidance is important; please add a short "best-practice box" (how to determine titer at multiple genomes/cell and cell densities; when single-hit assumptions fail) for end-users. 

      Good suggestion. We will include best-practice box using guidelines developed in Ryckman lab over the years in the revised version of the paper.

      Overall note to all reviews: We have deposited our codes and the data on github; yet, none of the reviewers commented on it.

    1. eLife Assessment

      This manuscript reports on the application of ribosome profiling (EZRA-seq and eRF1-seq) combined with massively parallel reporter assays to identify and characterize a GA-rich element associated with ribosome pausing during translation termination. While the development of eRF1-seq is useful and the identification of GA-rich elements upstream of stop codons is convincing, the level of support for other claims is inadequate. Specifically, the evidence that GA-rich sequences upstream of stop codons can base-pair with the 3′ end of 18S rRNA to prolong ribosome dwell time, and the evidence that Rps26 interferes with this interaction to regulate translation termination, are not adequate.

    2. Reviewer #1 (Public review):

      Summary:

      The authors use high-resolution ribosome profiling (Ezra-seq) and eRF1 pulldown-based ribosome profiling (eRF1-seq) developed in their lab to identify a GA rich sequence motif located upstream of the stop codon responsible for translation termination pausing. They then perform a massively parallel assay with randomly generated sequences to further characterize this motif. Using mouse tissues, they show that termination pausing signatures can be tissue-specific. They use a series of published ribosome structures and 18S rRNA mutants, and eS26 knockdown experiments to propose that the GA rich sequence interacts with the 3′-end of the 18S rRNA.

      Strengths:

      (1) Robust ribosome profiling data and clear analyses clarify the subtle behavior of terminating ribosomes near the stop codon.

      (2) Novel termination or "false termination" sites revealed by eRF1-seq in the 5′-UTR, 3′-UTR, and CDS highlight a previously underappreciated facet of translation dynamics.

      Weakness:

      (1) Modest effects seen in ABCE1 knockdown do not seem to add up to the level of regulation. The authors state "ABCE1 regulates terminating ribosomes independent of the sequence context" on pg 9, and "ABCE1 modulates termination pausing independent of the mRNA sequence context" in the figure caption for Figure S4. Given the modest effect of the knockdown, such phrasing is most likely not supported. Further clarification of "ABCE1 plays a generic role in translation termination" is necessary.

      (2) The authors propose that the GA rich sequence element upstream of the stop codon on the mRNA could potentially base pair with the 3′-end of the 18S rRNA. In the PDBs the authors reference in their paper and also in 3JAG, 3JAH, 3JAI (structures of terminating ribosomes with the stop codon in the A-site and eRF1), the mRNA exiting the ribosome and the 3′-end of the 18S rRNA are about 25-30 A apart. In addition, a segment of eS26 is wedged in between these two RNA segments. This reviewer noted this arrangement in a random sampling of 5 other PDBs of mammalian and human ribosome 80S structures. How do the authors anticipate the base pairing they have proposed to occur in light of these steric hindrances? RpsS26 is known to be released by Tsr2 in yeast during very specific stresses. Is it their expectation that termination pausing in human/mammalian cells happens during stressful conditions only?

      (3) The authors say, "It is thus likely that mRNA undergoes post-decoding scanning by 18S rRNA." (pg. 10). It is unclear what the authors mean by "scanning." Do they mean that the mRNA gets scanned in a manner similar to scanning during initiation? There is no evidence presented to support that particular conclusion.

      (4) Role of termination pausing in the testis is highly speculative. The authors state: "It is thus conceivable that the wide range of ribosome density at stop codons in testis facilitates functional division of ribosome occupancy beyond the coding region." It is unclear what type of functional division they are referring to.

    3. Reviewer #2 (Public review):

      Summary:

      This paper presents results interpreted to indicate that sequences upstream of stop codons capable of base-pairing with the 3' end of 18S rRNA prolong the dwell time of 80S ribosomes at stop codons in a manner impeded by Rps26 in the 40S subunit exit channel, which leads to the proper completion of termination and ribosome recycling and prevents spurious translation of 3'UTR sequences by one or more unconventional mechanisms.

      Strengths:

      The standard 80S and selective eRF1 80S ribosome profiling data obtained using EZRA-Seq are of high quality, allowing the authors to detect an enrichment for purine-rich sequences upstream of stop codons at sites where termination is relatively slow and ribosomal complexes are paused with eRF1 still engaged in the A site.

      Weaknesses:

      There are many weaknesses in the experimental design, interpretation of results, and description of assay design and assumptions, the data obtained, and the interpretation of results, all of which detract from the scientific quality and significance of this work. In fact, a large proportion of paragraphs in the text and figure panels present some difficulty either in understanding how the experiment or data analysis was conducted or what the authors wish to conclude from the results, or that stem from an overinterpretation of findings or failure to consider other equally likely explanations.

    4. Reviewer #3 (Public review):

      Summary:

      This study from Jia et al carried out a variety of analyses of terminating ribosomes, including the development of eRF1-seq to map termination sites, identification of a GA-rich motif that promotes ribosome pausing, characterization of tissue-specific termination dynamics, and elucidation of the regulatory roles of 18S rRNA and RPS26. Overall, the study is thoughtfully designed, and its biological conclusions are well supported by complementary experiments. The tools and datasets generated provide valuable resources for researchers investigating the mechanisms of RNA translation.

      Strengths:

      (1) The study introduces eRF1-seq, a novel approach for mapping translation termination sites, providing a methodological advance for studying ribosome termination.

      (2) Through integrative bioinformatic analyses and complementary MPRA experiments, the authors demonstrate that GA-rich motifs promote ribosome pausing at termination sites and reveal possible regulatory roles of 18S rRNA in this process.

      (3) The study characterizes tissue-specific ribosome termination dynamics, showing that the testis exhibits stronger ribosome pausing at stop codons compared to other tissues. Follow-up experiments suggest that RPS26 may contribute to this tissue specificity.

      Weaknesses:

      The biological significance of ribosome pausing regulation at translation termination sites or of translational readthrough, for example, across different tissue types, remains unclear. Nevertheless, this question lies beyond the primary scope of the current study.

    5. Reviewer #4 (Public review):

      Summary:

      This manuscript by Qian and colleagues utilizes ribosome profiling, and reporter assays to dissect translation termination. Unfortunately, the data do not support the conclusions of the paper, controls are missing and several assays are not well validated and do not reproduce previous findings from others.

      Specific comments:

      • Translation termination has been studied in several organisms including mammalian cells and yeast. In those cases what is analyzed is not the peak height at the stop codon, but rather the difference in the ribosome density before and after the stop. Thus, analyzing peak height is not validated. I understand that this is relevant only for the ribosome profiling experiments (and Ezra-seq) not the RF1 profiling. But much of the data was acquired that way.

      • Moreover, the data do not reproduce previous findings and no effort is made to connect them to previous data. Previous data has shown that stop codon efficacy varies. This is not reproduced (S1C). Similarly, an effect from the +1 residue is not reproduced. The data isn't even stratified by different stop codons as previous work has shown that different surrounding residues have different effects in the context of different stop codons. Thus, none of the sequencing data is validated or trusted and does not reproduce previous findings.

      • The GA-rich sequence identified by Ezra-Seq and RF1 seq is not the same and it differs from previous sequences (Wangen &Green).

      • The authors claim that the majority of Rf1 peaks is at stop codons, but that is not true. It is only about 30% of the peaks. Also, not all mRNAs have peaks at the stop codons. That is at best problematic. Finally, there are mRNAs that are known to "suffer" from NMD, what do these look like in the Ezra-Seq and RF1-Seq? How about mRNAs that have programmed frameshifts? This raises questions on the validity of the eRF1 data.

      • Figure 4: First, instead of M/P ratio, one should analyze M/M+P, to normalize out differences in the loading and effects from collisions, which are guaranteed to occur here, but not considered or analyzed. Second, the data are analyzed as if what matters are codons in the P and E site (and beyond, where there are definitely NOT recognized codons). While there is evidence for some interactions, one would think that an additional analysis based on sequence would be helpful. Also, the supplemental data indicates that very rarely are there reciprocal changes (as should be the case), and as seen for stop codons.

      • Regarding the HiBit reporter assay: The two sequecnes clearly have effects on translation without considering stop codon context (Figure 4C), which need to be taken into account. Also, the effect from the sequences varies in the context of the assay in 4C and 4D (2-fold vs .5 fold), further questioning the assay. Moreover, the authors claim that re-initiation cannot account for Hibit levels, but that is clearly incorrect. The western in Figure 4E does not reproduce the data in 4D. While Hibit goes up (as in 4D, the putative GFP-fusion goes down. Finally, while the second reading frame should be more efficient is not explained and further argues for an artifact. Previous work (and work herein) suggests that read-through occurs equally in each reading frame. No controls for these assays are presented: e.g. stimulation by antibiotics, ABCE1 depletion, etc.

      • Figure 5 has similar problems. I don't understand how the Figure in 5A is made, but when you overlay the cited structures on Rps26, the molecules are identical. I guess the authors used some fantasy to build non-existing sequences differently into the structure. There is no basis for that. In panel C and the same in Figure 7, the number of analyzed mRNAs varies. This could influence the outcome and the EXACT same set of mRNAs should be analyzed. But the main problem here is that the authors need to analyze readthrough and not peak height as detailed above. Essential controls are missing that show what fraction of the 18S rRNA is mutated. Previous work has shown that 2 nt truncated 18S rRNA is actively degraded. It is hard to believe how 15% of altered ribosomes can abolish 100% of the effect from the C-rich sequences. Important validation is missing: the authors should analyze rRNA sequences in their ribo-seq dataset to demonstrate that they have the mutated rRNAs, and that these enrich and de-enrich as predicted.

      • In Figure 5-7 the authors develop a model that the sequence selectivity arises from base pairing between 18S rRNA and the mRNA. If so, then they should really stratify the data by number of WC pairs that can be formed. And only WC pairs, as GU pairs have a totally different geometry that will likely be discriminated against in this context. Also, the mutation is in a part of the helix that has no effect (Figure S3G). Thus, the data within the manuscript are inconsistent.

      • Figure 6 does not agree with published data (Li et al., Nature 2022). Previous work did not show testis-depletion of Rps26 in purified ribosomes. This is the critical difference as the authors here did not purify ribosomes. Also, another Rps is an essential control, even if purified ribosomes are used. The validity of this dataset is thus questionable . Depletion from polysomes is hard to believe, as overall there is less signal in the polysomes.

      • Figure 7 has similar problems as figure 5. Different pools of mRNAs are analyzed; peak height is not validated. Overexpression of Rps26 is not shown, as only Myc is shown, not Rps26. Beyond that, increased occupancy in ribosomes needs to be shown for the effect to come from ribosomes. Given how sick the cells are it is most likely that all effects are secondary and arise from whatever else is going on in the overexpression or depletion of Rps26. No controls are presented to show specific effects from Rps26.

      • The authors need to check Rli1/ABCE levels in their cells. Their data have features that are indicative of low ABCE1 levels. These include a very small effect from ABCE1 depletion. These could be responsible for some of the effects they observe.

    6. Author response:

      We thank the editor and reviewers for their thoughtful feedback. We agree with eLife’s overall assessment that, while profiling terminating ribosomes is informative in revealing termination dynamics, the underlying mechanisms require more evidence. Our revision will focus on three conceptual points.

      (1) We will tone down the statement that putative mRNA:rRNA interaction contributes to sequence-specific termination pausing.

      (2) We will clarify the potential role of Rps26 in regulating translation termination.

      (3) We will expand the discussion of tissue-specific termination pausing.

      Reviewer #1 (Public Review):

      (1) We admit that the modest effects of ABCE1 were partly due to the incomplete ABCE1 knockdown in HEK293 cells. Since the elevated ribosome density occurred at all stop codons, we argue that the action of ABCE1 is likely independent of the sequence context. We will rephrase relevant statements in the revised manuscript.

      (2) In terms of Rps26 structures, we agree the structural rearrangement in the absence of Rps26 is highly speculative. However, we do not believe the Rps26 stoichiometry is solely dependent on stress. We will clarify this important point in the revised manuscript.

      (3) We apologize for the confusion about 18S rRNA “scanning” and will revise the sentence in the main text.

      (4) We agree that functional significance of testis-specific termination dynamics is unclear. Since other reviewers raised similar concern, we will expand the discussion of tissue-specific termination pausing in the revised manuscript.

      Reviewer #2 (Public Review):

      We appreciate the Reviewer’s time and efforts in reviewing our manuscript. We are grateful for the insightful comments and many recommendations made by the reviewer to improve our manuscript. We feel that the reviewer may have some misunderstanding in terms of the sequence motif associated with the termination pausing, partly because of the lack of clarity in our original description of the results from MPRA and reporter assays. We will ensure that the reviewer’s points are fully addressed in the revised manuscript.

      Reviewer #3 (Public Review):

      We thank the reviewer’s positive comment on our manuscript. We agree that the tissue-specific termination differences were poorly described in the main text. Notably, other reviewers raised similar concerns. We will expand the relevant discussion in the revised manuscript, outlining this as a limitation and a future direction.

      Reviewer #4 (Public Review):

      We believe the reviewer mixed xthe public view with recommendation comments. The reviewer appears to be preoccupied by previous studies and questioned some inconsistency in our results. With the development of new technology such as eRF1-seq, we are encouraged to present “new” and “different” findings. All other reviewers appreciate the development of eRF1-seq to profile terminating ribosomes. In fact, we do not believe our data is fundamentally different from the established principles. Rather, our data provides new perspectives to further our understanding of ribosome dynamics at stop codons. We thank the reviewer for understanding.

      The reviewer is quite confused by our sequencing analysis based on peak height, or read density, which is commonly used to infer ribosome dynamics such as pausing. Regarding the sequencing analysis and reporter assays in cells expressing 18S mutant (Figure 5) and Rps26 (Figure 7), we feel that the reviewer has some misunderstanding. In the revised manuscript, we will do our best to clarify those relevant issues. Finally, the reviewer’s comment on base pairing is well-received and we will thoroughly revise the main text and discussion in the revised manuscript.

    1. eLife Assessment

      The authors investigated the epigenetic mechanisms regulating the differentiation of circulating monocytes that infiltrate the CNS and adopt microglia-like characteristics. The work is useful to the field, as the contribution of circulating myeloid cell-derived microglia remains controversial. However, the evidence presented is inadequate as the analyses are based on a very limited set of genes, which does not sufficiently support the authors' central claims.

    2. Reviewer #1 (Public review):

      Microglia are mononuclear phagocytes in the CNS and play essential roles in physiology and pathology. In some conditions, circulating monocytes may infiltrate in the CNS and differentiated into microglia or microglia-like cells. However, the specific mechanism is large unknown. In this study, the authors explored the epigenetic regulation of this process. The quality of this study will be significantly improved if a few questions are addressed.

      (1) The capacity of circulating myeloid cell-derived microglia are controversial. In this study, the authors utilized CX3CR1-GFP/CCR2-DsRed (hetero) mice as a lineage tracing line. However, this animal line is not an appropriate approach for this purpose. For example, when the CX3CR1-GFP/CCR2-DsRed as the undifferentiated donor cell, they are GFP+ and DsRed+. When the cell fate has been changed to microglia, they will change into GFP+ and DsRed- cells. However, this process is mediated with busulfan and artificially introduced bone marrow cells in the circulating cell, which is not existed in physiological and pathological conditions. These artifacts will potentially bring in artifacts and confound the conclusion, as the classical wrong text book knowledge of the bone marrow derived microglia theory and subsequently corrected by Fabio Rossi lab1,2. This is the most risk for drawing this conclusion. The top evidence is from the parabiosis animal model. Therefore, A parabiosis study before making this conclusion, combining a CX3CR1-GFP (hetero) mouse with a WT mouse without busulfan conditioning and looking at whether there are GFP+ microglia in the GFP- WT mouse brain. If there are no GFP+ microglia, the author should clarify this is not a physiological or pathological condition, but a defined artificial host condition, as previously study did3.

      (2) In some conditions, peripheral myeloid cells can infiltrate and replace the brain microglia4,5. Discuss it would be helpful to better understand the mechanism of microglia replacement.

      References:

      (1) Ajami, B., Bennett, J.L., Krieger, C., Tetzlaff, W., and Rossi, F.M. (2007). Local self-renewal can sustain CNS microglia maintenance and function throughout adult life. Nature neuroscience 10, 1538-1543. 10.1038/nn2014.

      (2) Ajami, B., Bennett, J.L., Krieger, C., McNagny, K.M., and Rossi, F.M.V. (2011). Infiltrating monocytes trigger EAE progression, but do not contribute to the resident microglia pool. Nature neuroscience 14, 1142-1149. http://www.nature.com/neuro/journal/v14/n9/abs/nn.2887.html#supplementary-information.

      (3) Mildner, A., Schmidt, H., Nitsche, M., Merkler, D., Hanisch, U.K., Mack, M., Heikenwalder, M., Bruck, W., Priller, J., and Prinz, M. (2007). Microglia in the adult brain arise from Ly-6ChiCCR2+ monocytes only under defined host conditions. Nature neuroscience 10, 1544-1553. 10.1038/nn2015.

      (4) Wu, J., Wang, Y., Li, X., Ouyang, P., Cai, Y., He, Y., Zhang, M., Luan, X., Jin, Y., Wang, J., et al. (2025). Microglia replacement halts the progression of microgliopathy in mice and humans. Science 389, eadr1015. 10.1126/science.adr1015.

      (5) Xu, Z., Rao, Y., Huang, Y., Zhou, T., Feng, R., Xiong, S., Yuan, T.F., Qin, S., Lu, Y., Zhou, X., et al. (2020). Efficient strategies for microglia replacement in the central nervous system. Cell reports 32, 108041. 10.1016/j.celrep.2020.108041.

    3. Reviewer #2 (Public review):

      Mouse fate mapping studies have established that the bulk of microglia derives from cells that seed the brain early during development. However, monocytes were also shown to give rise to parenchymal CNS macrophages and thus are potential candidates for microglia replacement therapy. Whether monocyte-derived cells adopt bona fide microglia identities has remained under debate. The study of Liu et al addresses this important outstanding question, focusing on the retina.

      Specifically, the authors investigate monocyte-derived macrophages that arise upon challenges in the murine retina using scRNAseq and ATACseq analyses, combined with flow cytometry and histology. They complement this approach with an analysis of BM chimeras and analyses of the latter. The authors conclude that monocyte-derived cells acquire markers that have originally been proposed to be microglia-specific, including P2ry12, Tmem119, and Fcrls.

      In 2018, four comprehensive independent studies reported the analyses of monocyte-derived CNS macrophages (PMID 30451869, 30523248, 29643186, 29861285). Following transcriptome and epigenome analyses, these teams came to the collective conclusion that HSC-derived cells remain distinct from microglia. Using advanced fate mapping and better isolation and profiling tools, a more recent study, however, concluded that, if given sufficient time of CNS residence, most monocyte-derived macrophages can, at the transcriptome level, become essentially identical to microglia (PMID 40279248, https://www.biorxiv.org/content/10.1101/2023.11.16.567402v1).

      Given this controversy, the study of Paschalis and colleagues, which focuses largely on retinal monocyte-derived cells, could have been a valuable resource and complement for clarification. Indeed, interestingly, their data suggest that microglia adaptation of monocyte-derived macrophages might be faster in the retina than in the CNS. However, for the reasons outlined below, the study falls in its present form short of providing significant new insight and is a missed opportunity.

      Comments:

      The major shortcoming of the study is that the authors decided to focus on a very limited number of genes to make their case, rather than performing a more informative, unbiased, and detailed global analysis. In contrast to what the authors state, much of the microglia community is, I believe, aware of experimental limitations and the problem with markers. Showing gain of microglia marker expression on monocyte-derived cells, or loss of monocyte markers, such as Ly6C, is not novel.

      This is highlighted Fig. 3F. No one argues today that monocyte-derived tissue macrophages differ from blood monocytes (although the authors repeatedly emphasize this as novelty). However, the heatmap shows that the engrafted cells clearly differ from naïve and injured microglia. What are these genes, their associated pathways ?

      Also, how about expression of the Sall1 gene that encodes a repressor that is considered important to maintain microglia identity (PMID37322178, 27776109). Somewhat surprisingly, Sall1 was recently also shown to be expressed by monocyte-derived CNS macrophages (PMID 40279248). It would be valuable information if the authors can corroborate this finding.

      The authors state in their discussion that monocyte-derived macrophages seem 'hardwired for inflammatory responses'. While this is an interesting suggestion, the NFkB motif enrichment is insufficient and should be complemented with a target list. Again, it would be important to be aware of heterogeneity.

      A critical factor when analyzing CNS macrophages is the exclusion of perivascular CNS border-associated cells, which also holds for the retina (see PMID 38596358). This should be addressed. Can the authors discriminate BAM from microglia in their scRNAseq data set, for instance, by their CD206 expression or other markers ? BAM have been shown to display distinct transcriptomes and even as a contamination could introduce significant bias.

      Even for the genes the authors focus on, it is hard to understand from the way the authors present the data what fraction of cells are positive. This would be critical information since there could be some heterogeneity. Flowcytometry analysis, including double staining for P2ry12, Tmem119, and Fcrls to see correlations, would here be valuable.

      The authors state in their title that 'epigenetic adaptation drives monocyte differentiation'. However, since all gene expression is governed by the epigenome, this is trivial. I would argue that to gain meaningful insight and justify such a statement, it would require an in-depth global comparative analysis of the chromatin status of yolk sac microglia and monocyte-derived CNS macrophages, including CUT&RUN analysis for specific histone marks and methylation patterns.

      Please cite and discuss PMID 30451869, 30523248, 29643186, 29861285, and in particular the more recent highly relevant study PMID 40279248.

    1. eLife Assessment

      This study presents a role for heparin sulfate in SARS-CoV-2 entry that runs counter to prevailing data in the field. If the conclusions were firmly supported by the data, the work would be a significant contribution to the field. While the use of diverse cellular models, virological tools, and robust microscopy approaches constitutes a useful data set, the proposed model remains incomplete and requires clarification of entry mechanisms, host factors, and viral variant-specific fusion pathways to substantiate it against established entry models.

    2. Reviewer #1 (Public review):

      This paper investigates how heparan sulfate (HS) engagement functions in the cellular entry of SARS-CoV-2. A prevailing model that has been developed over the last five years by work from many laboratories using a variety of biochemical, structural, and microscopic approaches is that HS acts a co-receptor for SARS-CoV-2; its binding to SARS-CoV-2 both concentrates virus on the surface of target cells and allosterically alters the spike protein to promote an "up/open" RBD conformation that enables engagement of the proteinaceous receptor human ACE2 on the cell surface (PMID: 32970989, 35926454, 38055954, 39401361, 40548749). These two events enable plasma membrane fusion (after a cleavage event promoted by plasma membrane TMPSS2) or endocytosis and subsequent pH-dependent fusion (which requires a cathepsin L-mediated cleavage of the spike).

      The authors in this study used a series of microscopy techniques, labeled pseudoviruses and authentic SARS-CoV-2 strains, and cells lacking or expressing HS and/or hACE2 to re-examine the specific stage(s) HS and hACE2 function in the entry process. They suggest that HS mediates SARS-CoV-2 cell-surface attachment and endocytosis, and that hACE2 functions "downstream" of this to facilitate productive infection. Their results also suggest that SARS-CoV-2 binds clusters of HS molecules projecting 60-410 nm, which act as docking sites for viral attachment. Blocking HS binding with pixantrone, a drug under clinical evaluation for cancer (due to its anti-topoisomerase II activity), inhibited SARS-CoV-2 Omicron JN.1 variant from attaching to and infecting human airway cells. The authors conclude that their work establishes a revised entry paradigm in which HS clusters mediate SARS-CoV-2 attachment and endocytosis, with ACE2 acting at some stage downstream. They speculate this idea might apply broadly to other viruses known to engage HS and has translational implications for developing antiviral agents that target HS interactions.

      The strengths of the interesting and technically well-executed study include the use of multiple high-resolution microscopy modalities, the tracking of labelled viruses, the use of both pseudoviruses and authentic SARS-CoV-2, and the use of primary airway cells. Nonetheless, there are issues that need to be addressed to buttress the proposed model compared to earlier ones. These include: (a) the distinction between macropinocytosis and receptor-mediated endocytosis and what this might mean for productive SARS-CoV-2 infection; (b) the need to account for TMPRSS2 expression and plasma membrane fusion; (c) addition of genetic studies in which hACE2 is expressed in cells lacking HS; (d) an unclear picture of exactly where downstream hACE2 functions; and (e) and a need for comparative/additional study of earlier SARS-CoV-2 variants, which preferentially fuse at the plasma membrane.

    3. Reviewer #2 (Public review):

      In this manuscript by Han et al, the authors assess the binding of SARS-CoV-2 to heparan sulfate clusters via advanced light microscopy of viral particles. The authors claim that the SARS-CoV-2 spike (in the context of pseudovirus and in authentic virus) engages heparan sulfate clusters on the cell surface, which then promotes endocytosis and subsequent infection. The finding that HSPGs are important for SARS-CoV-2 entry in some cell types is well-described, but the authors attempt to make the claim here that HS represents an alternative "receptor" and that HS engagement is far more important than the field appreciates. The data itself appears to be of appropriate quality and would be of interest to the field, but the overly generalized conclusions lack adequate experimental support. This significantly diminishes enthusiasm for this manuscript as written. The manuscript is imprecise and far overstates the actual findings shown by the data. Additional controls would be of great benefit.

      Further, it is this reviewer's opinion that the findings do not represent a novel paradigm as claimed. HS has been well described for SARS-CoV-2 and other viruses to serve as attachment factors to promote initial virus attachment. While the manuscript provides new insight into the details of this process, the manuscript attempts to oversell this finding by applying new words rather than new molecular details. The authors would be better served by presenting a more balanced and nuanced view of their interesting data. In this reviewer's opinion, the salesmanship significantly detracts from the data and manuscript.

      Major Comments:

      The authors need to rigorously define a "receptor" vs an "attachment factor." They also should avoid ambiguous terms such as "receptor underlying ...attachment" and "attachment receptor" (or at least clearly define them). Much of their argument hinges on the specific definition of these terms. This reviewer would argue that a receptor is a host factor that is necessary and sufficient for active promotion of viral entry (genome release into the cytoplasm), while an attachment factor is a host factor that enhances initial viral attachment/endocytosis but is neither necessary nor sufficient. The evidence does NOT implicate HS as a receptor under this fairly textbook definition. This is proven in Figure 1 (and elsewhere) in which ACE2 is absolutely required for viral entry.

      The authors should genetically perturb HS biosynthesis in their key assays to demonstrate necessity. HS biosynthesis genes have been shown to be important for SARS-CoV-2 entry into some cells but not others (Huh7.5 cells PMID 33306959, but not in Vero cells PMID 33147444, Calu3 cells 35879413, A549 cells 33574281, and others 36597481. The authors need to discuss this important information and reconcile it with their data and model if they want to claim that HS is broadly important.

      Is targeting HS really a compelling anti-viral strategy? The data show a ~5-fold reduction, which likely won't excite a drug company. The strengths and limitations of HS targeting should be presented in a more balanced discussion. Animal data showing anti-viral activity of PIX is warranted. This would enhance this claim and also provide key evidence of a relevant role for HS in a more physiologic model.

      The authors provide little discussion of the fact that these studies rely exclusively on cell lines (which also happen to be TMPRSS2-deficient). The role of proteases in the role of HS should be tested in the cell lines and primary cells used, as protease expression is a key determinant of the site of fusion.

      The claim that "SARS-CoV2 JN.1 variant binds to heparan sulfate, not hACE2, in primary human airway cells" is extraordinary and thus requires extraordinary evidence.

      First, PIX reduces attachment by 5-fold, which is not the same as "nearly abolished." Also, anti-ACE2 "nearly abolished" entry in 7D, while PIX did not. If the authors want to make these claims, an alternative method to disrupt HS (other than PIX) is needed in primary airway cells. A genetic approach would be much more convincing. The authors should also demonstrate whether entry in their primary cell assays is TMPRSS2 vs Cathepsin L dependent (using E64d and camostat, for instance) as mentioned above.

      Each figure should clearly state how many independent experiments and replicates per experiment were performed. What does "3 experiments" mean? Are these three independent experiments or three wells on one day?

    4. Reviewer #3 (Public review):

      Summary:

      In this manuscript, the authors define a new paradigm for the attachment and endocytosis of SARS-CoV-2 in which cell surface heparan sulfate (HS) is the primary receptor, with ACE2 having a downstream role within endocytic vesicles. This has implications for the importance of targeting virion-HS interactions as a therapeutic strategy.

      Strengths:

      The authors show that viruses are internalized via dynamin-dependent endocytosis and that endocytic internalization is the major pathway for pseudotyped SARS-CoV-2 genome expression. They show that HS-mediated viral attachment is a critical step preceding viral endocytosis and also subsequent genome expression. Further, they show that hACE2 acts downstream of endocytosis to promote viral infection, and may be co-internalised with virions after HS attachment. Pseudotyped virus and authentic SARS-CoV-2 provide similar results. In addition, the authors demonstrate that remarkable clusters of multiple HS chains exist on the cell surface, visualised by a number of elegant microscopy methods, and that these represent the docking sites for virions. These visualisations are an important general contribution in themselves to understanding the nanoscale interactions of HS at the cell surface.

      The use of a complementary range of methods, virus constructs, and cell models is a strength, and the results clearly support the conclusions.

      Overall, the results convincingly demonstrate a different model to the currently accepted mechanism in which the ACE2 protein is regarded as the cell surface receptor for SARS-CoV-2. Here, the authors provide compelling evidence that cell surface clusters of HS are the primary docking site, with ACE2 interactions occurring later, after endocytosis (whilst still being essential for viral genome expression). This is an exciting and important landmark evidence which supports the view that HS-virion interactions should be viewed as a key site for anti-viral drug targeting, likely in strategies that also target the downstream ACE2-based mechanism of viral entry within endosomes.

      Weaknesses:

      This reviewer identified only minor points regarding citing and discussing other studies and typos, which can be corrected.

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    1. eLife Assessment

      This work details the finding that in at least one of the subunits of the heterohexameric chaperone complex Pfdn5 has additional functions beyond its contribution to cytoskeletal protein folding in Drosophila. The authors provide convincing evidence that it is a hitherto unknown microtubule associated protein in addition to regulating microtubule organization and levels of tubulin monomers. The important findings show that Pfdn5 loss exaggerates pathological manifestations of mutant human Tau bearing FTDP-17 linked mutations in Drosophila, while its overexpression suppresses them, suggesting that the latter may constitute a future therapeutic approach.

    2. Reviewer #1 (Public review):

      Summary:

      In this manuscript, Bisht et al address the hypothesis that protein folding chaperones may be implicated in aggregopathies and in particular Tau aggregation, as a means to identify novel therapeutic routes for these largely neurodegenerative conditions.

      The authors conducted a genetic screen in the Drosophila eye, which facilitates identification of mutations that either enhance or suppress a visible disturbance in the nearly crystalline organization of the compound eye. They screened by RNA-interference all 64 known Drosophila chaperones and revealed that mutations in 20 of them exaggerate the Tau-dependent phenotype, while 15 ameliorated it. The enhancer of degeneration group included 2 subunits of the typically heterohexameric prefoldin complex and other co-translational chaperones.

      The authors characterized in depth one of the prefoldin subunits, Pfdn5 and convincingly demonstrated that this protein functions in regulation of microtubule organization, likely due to its regulation of proper folding of tubulin monomers. They demonstrate convincingly using both immunohistochemistry in larval motor neurons and microtubule binding assays that Pfdn5 is a bona fide microtubule associated protein contributing to the stability of the axonal microtubule cytoskeleton, which is significantly disrupted in the mutants.

      Similar phenotypes were observed in larvae expressing the Frontotemporal dementia with Parkinsonism on chromosome 17-associated mutations of the human Tau gene V377M and R406W. On the strength of the phenotypic evidence and the enhancement of the TauV377M-induced eye degeneration they demonstrate that loss of Pfdn5 exaggerates the synaptic deficits upon expression of the Tau mutants. Conversely, overexpression of Pfdn5 or Pfdn6 ameliorates the synaptic phenotypes in the larvae, the vacuolization phenotypes in the adult, even memory defects upon TauV377M expression.

      Strengths:

      The phenotypic analyses of the mutant and its interactions with TauV377M at the cell biological, histological, and behavioral levels are precise, extensive, and convincing and achieve the aims of characterization of a novel function of Pfdn5.

      Regarding this memory defect upon V377M tau expression. Kosmidis et al (2010) pmid: 20071510, demonstrated that pan-neuronal expression of TauV377M disrupts the organization of the mushroom bodies, the seat of long-term memory in odor/shock and odor/reward conditioning. If the novel memory assay the authors use depends on the adult brain structures, then the memory deficit can be explained in this manner.

      If the mushroom bodies are defective upon TauV377M expression does overexpression of Pfdn5 or 6 reverse this deficit? This would argue strongly in favor of the microtubule stabilization explanation.

      The discovery that Pfdn5 (and 6 most likely) affect tauV377M toxicity is indeed a novel and important discovery for the Tauopathies field. It is important to determine whether this interaction affects only the FTDP-17-linked mutations, or also WT Tau isoforms, which are linked to the rest of the Tauopathies. Also, insights on the mode(s) that Pfdn5/6 affect Tau toxicity, such as some of the suggestions above are aiming at, will likely be helpful towards therapeutic interventions.

      Weaknesses:

      What is unclear however is how Pfdn5 loss or even overexpression affects the pathological Tau phenotypes.

      Does Pfdn5 (or 6) interact directly with TauV377M? Colocalization within tissues is a start, but immunoprecipitations would provide additional independent evidence that this is so.

      Does Pfdn5 loss exacerbate TauV377M phenotypes because it destabilizes microtubules, which are already at least partially destabilized by Tau expression?<br /> Rescue of the phenotypes by overexpression of Pfdn5 agrees with this notion.

      However, Cowan et al (2010) pmid: 20617325 demonstrated that wild-type Tau accumulation in larval motor neurons indeed destabilizes microtubules in a Tau phosphorylation-dependent manner.

      So, is TauV377M hyperphosphorylated in the larvae?? What happens to TauV377M phosphorylation when Pfdn5 is missing and presumably more Tau is soluble and subject to hyperphosphorylation as predicted by the above?

      Expression of WT human Tau (which is associated with most common Tauopathies other than FTDP-17) as Cowan et al suggest has significant effects on microtubule stability, but such Tau-expressing larvae are largely viable. Will one mutant copy of the Pfdn5 knockout enhance the phenotype of these larvae?? Will it result in lethality? Such data will serve to generalize the effects of Pfdn5 beyond the two FDTP-17 mutations utilized.

      Does the loss of Pfdn5 affect TauV377M (and WTTau) levels?? Could the loss of Pfdn5 simply result in increased Tau levels? And conversely, does overexpression of Pfdn5 or 6 reduce Tau levels?? This would explain the enhancement and suppression of TauV377M (and possibly WT Tau) phenotypes. It is an easily addressed, trivial explanation at the observational level, which if true begs for a distinct mechanistic approach.

      Finally, the authors argue that TauV377M forms aggregates in the larval brain based on large puncta observed especially upon loss of Pfdn5. This may be so, but protocols are available to validate this molecularly the presence of insoluble Tau aggregates (for example, pmid: 36868851) or soluble Tau oligomers as these apparently differentially affect Tau toxicity. Does Pfdn5 loss exaggerate the toxic oligomers and overexpression promotes the more benign large aggregates??

      Comments on revisions:

      In the revised manuscript Βisht et al have provided extensive new experimental evidence in support of previously more tenuous claims. These fully satisfy my comments and suggestions, and in my view, have significantly strengthened the manuscript with compelling new evidence.

    3. Reviewer #2 (Public review):

      Bisht et al detail a novel interaction between the chaperone, Prefoldin 5, microtubules, and tau-mediated neurodegeneration, with potential relevance for Alzheimer's disease and other tauopathies. Using Drosophila, the study shows that Pfdn5 is a microtubule-associated protein, which regulates tubulin monomer levels and can stabilize microtubule filaments in the axons of peripheral nerves. The work further suggests that Pfdn5/6 may antagonize Tau aggregation and neurotoxicity. While the overall findings may be of interest to those investigating the axonal and synaptic cytoskeleton, the detailed mechanisms for the observed phenotypes remain unresolved and the translational relevance for tauopathy pathogenesis is yet to be established. Further, a number of key controls and important experiments are missing that are needed to fully interpret the findings.

      The strength of this study is the data showing that Pfdn5 localizes to axonal microtubules and the loss-of-function phenotypic analysis revealing disrupted synaptic bouton morphology. The major weakness relates to the experiments and claims of interactions with Tau-mediated neurodegeneration. In particular, it is unclear whether knockdown of Pfdn5 may cause eye phenotypes independent of Tau. Further, the GMR>tau phenotype appears to have been incorrectly utilized to examine age-dependent, neurodegeneration.

      This manuscript argues that its findings may be relevant to thinking about mechanisms and therapies applicable to tauopathies; however, this is premature given that many questions remain about the interactions from Drosophila, the detailed mechanisms remain unresolved, and absent evidence that tau and Pfdn may similarly interact in the mammalian neuronal context. Therefore, this work would be strongly enhanced by experiments in human or murine neuronal culture or supportive evidence from analyses of human data.

      Comments on revisions:

      The revision adequately addresses most of the previously raised concerns, resulting in a significantly improved manuscript.

    4. Author response:

      The following is the authors’ response to the original reviews.

      Reviewer #1 (Public Review):

      Summary:

      In this manuscript, Bisht et al address the hypothesis that protein folding chaperones may be implicated in aggregopathies and in particular Tau aggregation, as a means to identify novel therapeutic routes for these largely neurodegenerative conditions.

      The authors conducted a genetic screen in the Drosophila eye, which facilitates the identification of mutations that either enhance or suppress a visible disturbance in the nearly crystalline organization of the compound eye. They screened by RNA interference all 64 known Drosophila chaperones and revealed that mutations in 20 of them exaggerate the Tau-dependent phenotype, while 15 ameliorated it. The enhancer of the degeneration group included 2 subunits of the typically heterohexameric prefoldin complex and other co-translational chaperones.

      The authors characterized in depth one of the prefoldin subunits, Pfdn5, and convincingly demonstrated that this protein functions in the regulation of microtubule organization, likely due to its regulation of proper folding of tubulin monomers. They demonstrate convincingly using both immunohistochemistry in larval motor neurons and microtubule binding assays that Pfdn5 is a bona fide microtubule-associated protein contributing to the stability of the axonal microtubule cytoskeleton, which is significantly disrupted in the mutants.

      Similar phenotypes were observed in larvae expressing Frontotemporal dementia with Parkinsonism on chromosome 17-associated mutations of the human Tau gene V377M and R406W. On the strength of the phenotypic evidence and the enhancement of the TauV377Minduced eye degeneration, they demonstrate that loss of Pfdn5 exaggerates the synaptic deficits upon expression of the Tau mutants. Conversely, the overexpression of Pfdn5 or Pfdn6 ameliorates the synaptic phenotypes in the larvae, the vacuolization phenotypes in the adult, and even memory defects upon TauV377M expression.

      Strengths

      The phenotypic analyses of the mutant and its interactions with TauV377M at the cell biological, histological, and behavioral levels are precise, extensive, and convincing and achieve the aims of characterization of a novel function of Pfdn5. 

      Regarding this memory defect upon V377M tau expression. Kosmidis et al (2010), PMID: 20071510, demonstrated that pan-neuronal expression of Tau<sup>V377M</sup> disrupts the organization of the mushroom bodies, the seat of long-term memory in odor/shock and odor/reward conditioning. If the novel memory assay the authors use depends on the adult brain structures, then the memory deficit can be explained in this manner. 

      (1) If the mushroom bodies are defective upon Tau<sup>V377M</sup>. expression, does overexpression of Pfdn5 or 6 reverse this deficit? This would argue strongly in favor of the microtubule stabilization explanation.

      We thank the reviewer for this insightful comment. Consistent with Kosmidis et al. (2010), we confirm that expression of hTau<sup>V377M</sup> disrupts the architecture of mushroom bodies.   In addition, we find, as suggested by the reviewer, that coexpression of either Pfdn5 or Pfdn6 with hTau<sup>V377M</sup> significantly restores the organization of the mushroom bodies. These new findings strongly support the hypothesis that Pfdn5 or Pfdn6 mitigate hTau<sup>V377M</sup> -induced memory deficits by preserving the structure of the mushroom body, likely through stabilizing the microtubule network. This data has now been included in the revised manuscript (Figure 7H-O).

      (2) The discovery that Pfdn5 (and 6 most likely) affects tauV377M toxicity is indeed a novel and important discovery for the Tauopathies field. It is important to determine whether this interaction affects only the FTDP-17-linked mutations or also WT Tau isoforms, which are linked to the rest of the Tauopathies. Also, insights on the mode(s) that Pfdn5/6 affect Tau toxicity, such as some of the suggestions above, are aiming at will likely be helpful towards therapeutic interventions.

      We agree that determining whether prefoldin modulates the toxicity of both mutant and wildtype Tau is critical for understanding its broader relevance to Tauopathies. We have now performed additional experiments required to address this issue. These new data show that loss of Pfdn5 also exacerbates toxicity associated with wildype Tau (hTau<sup>WT</sup>), in a manner similar to that observed with hTau<sup>V337M</sup> or hTau<sup>R406W</sup>. Specifically, overexpression of hTau<sup>WT</sup> in a Pfdn5 mutant background leads to Tau aggregate formation (Figure S7G-I), and coexpression of Pfdn5 with hTau<sup>WT</sup> reduces the associated synaptic defects (Figure S11F-L). These findings underscore a general role for Pfdn5 in modulating diverse Tauopathy-associated phenotypes and suggest that it could be a broadly relevant therapeutic target. 

      Weakness

      (3) What is unclear, however, is how Pfdn5 loss or even overexpression affects the pathological Tau phenotypes. Does Pfdn5 (or 6) interact directly with TauV377M? Colocalization within tissues is a start, but immunoprecipitations would provide additional independent evidence that this is so.

      We appreciate this important suggestion. To investigate a potential direct interaction between Pfdn5 and Tau<sup>V377M</sup>, we performed co-immunoprecipitation experiments using lysates from adult fly brain expressing hTau<sup>V337M</sup>. Under the conditions tested, we did not detect a direct physical interaction. While this does not support a direct interaction, it does not strongly refute it either. We note that Pfdn5 and Tau are colocalized within axons (Figure S13J-K). At this stage, we are unable to resolve the issue of direct vs indirect association. If indirect, then Tau and Pfdn5 act within the same subcellular compartments (axon); if direct, then either only a small fraction of the total cellular proteins is in the Tau-Pfdn5 complex and therefore difficult to detect in bulk protein westerns, or the interactions are dynamic or occur in conditions that we have not been able to mimic in vitro. 

      (4) Does Pfdn5 loss exacerbate Tau<sup>V377M</sup> phenotypes because it destabilizes microtubules, which are already at least partially destabilized by Tau expression? Rescue of the phenotypes by overexpression of Pfdn5 agrees with this notion. 

      However, Cowan et al (2010) pmid: 20617325 demonstrated that wildtype Tau accumulation in larval motor neurons indeed destabilizes microtubules in a Tau phosphorylation-dependent manner. So, is Tau<sup>V377M</sup> hyperphosphorylated in the larvae?? What happens to Tau<sup>V377M</sup> phosphorylation when Pfdn5 is missing and presumably more Tau is soluble and subject to hyperphosphorylation as predicted by the above?

      We completely agree that it is important to link Tau-induced phenotypes with the microtubule destabilization and phosphorylation state of Tau.   We performed immunostaining using futsch antibody to check the microtubule organization at the NMJ and observed a severe reduction in futsch intensity when Tau<sup>V337M</sup> was expressed in the Pfdn5 mutant (ElavGal4>Tau<sup>V337M</sup>; DPfdn5<sup>15/40</sup>), suggesting that Pfdn5 absence exacerbates the hTau<sup>V337M</sup> defects due to more microtubule destabilization (Figure S6F-J). 

      We have performed additional experiments to examine the phosphorylation state of hTau in Drosophila larval axons. Immunocytochemistry indicated that only a subset of hTau aggregates in Pfdn5 mutants (Elav-Gal4>Tau<sup>V337M</sup>; DPfdn5<sup>15/40</sup>) are recognized by phospho-hTau antibodies.   For instance, the AT8 antibody (targeting pSer202/pThr205) (Goedert et al., 1995) labelled only a subset of aggregates identified by the total hTau antibody (D5D8N) (Figure S9AE). Moreover, feeding these larvae (Elav-Gal4>Tau<sup>V337M</sup; DPfdn5<sup>15/40</sup>) with LiCl, which blocks GSK3b, still showed robust Tau aggregation (Figure S9F-J). 

      These results imply that: a) soluble phospho-hTau levels in Pfdn5 mutants are low and not reliably detected with a single phospholylation-specific antibody; b) Loss of Pfdn5 results in Tau aggregation in a hyperphosphorylation-independent manner similar to what has been reported earlier (LI et al. 2022); and c) the destabilization of microtubules in Elav-Gal4>Tau<sup>V337M</sup>; DPfdn5<sup>15/40</sup> results in Tau dissociation and aggregate formation. These data and conclusions have been incorporated into the revised manuscript.

      (5) Expression of WT human Tau (which is associated with most common Tauopathies other than FTDP-17) as Cowan et al suggest has significant effects on microtubule stability, but such Tauexpressing larvae are largely viable. Will one mutant copy of the Pfdn5 knockout enhance the phenotype of these larvae?? Will it result in lethality? Such data will serve to generalize the effects of Pfdn5 beyond the two FDTP-17 mutations utilized.

      We have now examined whether heterozygous loss of Pfdn5 (∆Pfdn5/+) enhances the effect of Tau expression. While each genotype (hTau<sup>V337M</sup>, hTau<sup>WT</sup> or ∆Pfdn5/+) alone is viable, Elav-Gal4 driven expression of hTau<sup>V337M</sup> or hTau<sup>WT</sup> in Pfdn5 heterozygous background does not cause lethality. 

      (6) Does the loss of Pfdn5 affect TauV377M (and WTTau) levels?? Could the loss of Pfdn5 simply result in increased Tau levels? And conversely, does overexpression of Pfdn5 or 6 reduce Tau levels?? This would explain the enhancement and suppression of Tau<sup>V377M</sup> (and possibly WT Tau) phenotypes. It is an easily addressed, trivial explanation at the observational level, which, if true, begs for a distinct mechanistic approach.

      To test whether Pfdn5 modulates Tau phenotypes by altering Tau protein levels, we performed western blot analysis under Pfdn5 or Pfdn6 overexpression conditions and observed no change in hTau<sup>V337M</sup> levels (Figure 6O). However, in the absence of Pfdn5, both hTau<sup>V337M</sup> and hTau<sup>WT</sup> form large, insoluble aggregates that are not detected in soluble lysates by standard western blotting but are visualized by immunocytochemistry (Figure S7G-I). Thus, the apparent reduction in Tau levels on western blots reflects a solubility shift, not an actual decrease in Tau expression. These findings argue against a simple model in which Pfdn5 regulates Tau abundance and instead support a mechanism in which Pfdn5 loss leads to change in Tau conformation, leading to its sequesteration away for already destabilized microtubules.  

      (7) Finally, the authors argue that Tau<sup>V377M</sup> forms aggregates in the larval brain based on large puncta observed especially upon loss of Pfdn5. This may be so, but protocols are available to validate this molecularly the presence of insoluble Tau aggregates (for example, pmid: 36868851) or soluble Tau oligomers, as these apparently differentially affect Tau toxicity. Does Pfdn5 loss exaggerate the toxic oligomers, and overexpression promote the more benign large aggregates??

      We have performed additional experiments to analyze the nature of these aggregates using 1,6-HD. The 1,6-hexanediol can dissolve the Tau aggregate seeds formed by Tau droplets, but cannot dissolve the stable Tau aggregates (WEGMANN et al. 2018). We observed that 5% 1,6hexanediol failed to dissolve these Tau aggregates (Figure S8), demonstrating the formation of stable filamentous flame-shaped NFT-like aggregates in the absence of Pfdn5 (Figure 5D and Figure S9).

      Reviewer #2 (Public review):

      Bisht et al detail a novel interaction between the chaperone, Prefoldin 5, microtubules, and taumediated neurodegeneration, with potential relevance for Alzheimer's disease and other tauopathies. Using Drosophila, the study shows that Pfdn5 is a microtubule-associated protein, which regulates tubulin monomer levels and can stabilize microtubule filaments in the axons of peripheral nerves. The work further suggests that Pfdn5/6 may antagonize Tau aggregation and neurotoxicity. While the overall findings may be of interest to those investigating the axonal and synaptic cytoskeleton, the detailed mechanisms for the observed phenotypes remain unresolved and the translational relevance for tauopathy pathogenesis is yet to be established. Further, a number of key controls and important experiments are missing that are needed to fully interpret the findings.

      The strength of this study is the data showing that Pfdn5 localizes to axonal microtubules and the loss-of-function phenotypic analysis revealing disrupted synaptic bouton morphology. The major weakness relates to the experiments and claims of interactions with Tau-mediated neurodegeneration. 

      In particular, it is unclear whether knockdown of Pfdn5 may cause eye phenotypes independent of Tau. 

      Our new experiments confirm that knockdown of Pfdn5 alone does not cause eye phenotypes.

      Further, the GMR>tau phenotype appears to have been incorrectly utilized to examine agedependent, neurodegeneration.

      In response, we have modulated and explained our conclusions in this regard as described later in our “rebuttal.”

      This manuscript argues that its findings may be relevant to thinking about mechanisms and therapies applicable to tauopathies; however, this is premature given that many questions remain about the interactions from Drosophila, the detailed mechanisms remain unresolved, and absent evidence that Tau and Pfdn may similarly interact in the mammalian neuronal context. Therefore, this work would be strongly enhanced by experiments in human or murine neuronal culture or supportive evidence from analyses of human data.

      The reviewer is correct that the impact would be greater if Pfdn5-Tau interactions were also examined in human tissue.   While we have not attempted these experiments ourselves, we hope that our observations will stimulate others to test the conservation of phenomena we describe. There are, however, several lines of circumstantial evidence from human Alzheimer’s disease datasets that implicate PFDN5 in disease pathology. For example, recent compilations and analyses of proteomic data show reductions of CCT components, TBCE, as well as Prefoldin subunits, including PFDN5, in AD tissue (HSIEH et al. 2019; TAO et al. 2020; JI et al. 2022; ASKENAZI et al. 2023; LEITNER et al. 2024; SUN et al. 2024). Furthermore, whole blood mRNA expression data from Alzheimer's patients revealed downregulation of PFDN5 transcript (JI et al. 2022). Together, these findings from human data are consistent with the roles of PFDN5 in suppressing diverse neurodegenerative processes. We have incorporated these points into the discussion section of the revised manuscript.

      Reviewer #1 (Recommendations for the authors):

      See public review for experimental recommendations focusing on the Tau Pfdn interactions.  I would refrain from using the word aggregates, I would call them puncta, unless there is molecular or visual (ie AFM) evidence that they are indeed insoluble aggregates.  Finally, although including the full genotypes written out below the axis in the bar graphs is appreciated, it nevertheless makes them difficult to read due to crowding in most cases and somewhat distracting from the figure. 

      In my opinion, a more reader-friendly manner of reporting the phenotypes will be highly helpful. For example, listing each component of the genotype on the left of each bar graph and adding a cross or a filled circle under the bar to inform of the full genotype of the animals used.

      As described in the response to the previous comment, we now have strong direct evidences to support our view that the observed puncta are stable Tau aggregates. Thus, we feel justified to use the term Tau-aggregates in preference to Tau puncta. 

      We have tried to write the genotypes to make them more reader-friendly.

      Reviewer #2 (Recommendations for the authors):

      (1) Lines 119-121: 35 modifiers from 64 seem like an unusually high hit rate. Are these individual genes or lines? Were all modifiers supported by at least 2 independent RNAi strains targeting non-overlapping sequences? A supplemental table should be included detailing all genes and specific strains tested, with corresponding results.

      We agree with the reviewer that 35 modifiers from 64 genes may be too high. However, since the genes knocked down in the study are chaperones, crucial for maintaining proteostasis, we may have got unusually high hits. The information related to individual genes and lines is provided in Supplemental Table 1. We have now included an additional Supplemental Table 3, which lists the genes and the RNAi lines used in Figure 1, detailing the sequence target information. The table also specifies the number of independent RNAi strains used and the corresponding results. 

      (2) Figure 1: The authors quantify the areas of ommatidial fusion and necrosis as degeneration, but it is difficult to appreciate the aberrations in the photos provided. Was any consideration given to also quantifying eye size?

      We have processed the images to enhance their contrast and make the aberrations clearer. The percentage of degenerated eye area (Figure 1M) was normalized with total eye area. The method for quantifying degenerated area has been explained in the materials and methods section.

      (3) Figure 1: a) Only enhancers of rough eyes are shown but no controls are included to evaluate whether knockdown of these genes causes eye toxicity in the absence of Tau. These are important missing controls. All putative Tau enhancers, including Pdn5/6, need to be tested with GMR-GAL4 independently of Tau to determine whether they cause a rough eye. In a previous publication from some of the same investigators (Raut et al 2017), knockdown of Pfdn using eyGAL4 was shown to induce severe eye morphology defects - this raises questions about the results shown here. 

      We agree that assessing the effects of HSP knockdown independent of Tau is essential to confirm modifier specificity. We have now performed these knockdowns, and the data are reported in Supplemental Table 1. For RNAi lines represented in Figure 1, which enhanced Tau-induced degeneration/eye developmental defect, except for one of the RNAi lines against Pfdn6 (GD34204), no detectable eye defects were observed when knocked down with GMR-Gal4 at 25°C, suggesting that enhancement is specific to the Tau background. 

      Use of a more eye-specific GMR-Gal4 driver at 25°C versus broader expressing ey-Gal4 at 29°C in prior work (Raut et al. 2017) likely reflects the differences in the eye morphological defects.

      (b) Besides RNAi, do the classical Pdn5 deletion alleles included in this work also enhance the tau rough eye when heterozygous? Please also consider moving the Pfdn5/6 overexpression studies to evaluate possible suppression of the Tau rough eye to Figure 1, as it would enhance the interpretation of these data (but see also below).

      GMR-Gal4 driven expression of hTau<sup>V337M</sup> or hTau<sup>WT</sup> in Pfdn5 heterozygous background does not enhance rough eye phenotype. 

      (4) For genes of special interest, such as Pdn5, and other genes mentioned in the results, the main figure, or discussion, it is also important to perform quantitative PCR to confirm that the RNAi lines used actually knock down mRNA expression and by how much. These studies will establish specificity.

      We agree that confirming RNAi efficiency via quantitative PCR (qPCR) is essential for validating the knockdown efficiency. We have now included qPCR data, especially for key modifiers, confirming effective knockdown (Figure S2).

      (5) Lines 235-238: how do you conclude whether the tau phenotype is "enhanced" when Pfdn5 causes a similar phenotype on its own? Could the combination simply be additive? Did overexpression of Pdn5 suppress the UAS-hTau NMJ bouton phenotype (see below)? 

      Although Pfdn5 mutants and hTau expression individually increase satellite boutons, their combination leads to a significantly more severe and additional phenotype, such as significantly decreased bouton size and increased bouton number, indicating an enhancing rather than purely additive interaction (Figure 4 and Figure S6C). Moreover, we now show that overexpression of Pfdn5 significantly suppressed the hTau<sup>V337M</sup>-induced NMJ phenotypes. This new data has been incorporated as Figure S11F-L in the revised manuscript. 

      Alternatively, did the authors consider reducing fly tau in the Pdn5 mutant background?

      In new additional experiments, we observe that double mutants for Drosophila Tau (dTau) and Pfdn5 also exhibit severe NMJ defects, suggesting genetic interactions between dTau and Pfdn5. This data is shown below for the reviewer.

      Author response image 1.

      A double mutant combination of dTau and Pfdn5 aggravates the synaptic defects at the Drosophila NMJ. (A-D') Confocal images of NMJ synapses at muscle 4 of A2 hemisegment showing synaptic morphology in (A-A') control, (B-B') ΔPfdn5<SUP>15/40</SUP>, (C-C') dTauKO/dTauKO (Drosophila Tau mutant), (D-D') dTauKO/dTauKO; ∆Pfdn5<SUP>15/40</SUP> double immunolabeled for HRP (green), and CSP (magenta). The scale bar in D for (A-D') represents 10 µm. 

      (6) It may be important to further extend the investigation to the actin cytoskeleton. It is noted that Pfdn5 also stabilizes actin. Importantly, tau-mediated neurodegeneration in Drosophila also disrupts the actin cytoskeleton, and many other regulators of actin modify tau phenotypes.

      We appreciate the suggestion to examine the actin cytoskeleton. While prior studies indicate that Pfdn5 might regulate the actin cytoskeleton and that Tau<sup>V377M</sup> hyperstabilizes the actin cytoskeleton, we did not observe altered actin levels in Pfdn5 mutants (Figure 2G). However, actin dynamics may represent an additional mechanism through which Pfdn5 might temporally influence Tauopathy. Future work will address potential actin-related mechanisms in Tauopathy.

      (7) Figure 2: in the provided images, it is difficult to appreciate the futsch loops. Please include an image with increased magnification. It appears that fly strains harboring a genomic rescue BAC construct are available for Pfdn-this would be a complementary reagent to test besides Pfdn overexpression.

      We have updated Figure 2 to include high magnification NMJ images as insets, clearly showing the Futsch loops. While we have not yet tested a genomic rescue BAC construct for Pfdn5, we plan to use the fly line harboring this construct in future work.

      (8) Figure 3: Some of the data is not adequately explained. The use of Ran as a loading control seems rather unusual. What is the justification? Pfdn appears to only partially co-localize with a-tubulin in the axon; can the authors discuss or explain this? Further, in Pfdn5 mutants, there appears to be a loss of a-tubulin staining (3b'); this should also be discussed.

      We appreciate the reviewer's concern regarding the choice of loading control for our Western blot analysis. Importantly, since Tubulin levels and related pathways were the focus of our analysis, traditional loading controls such as α- or β-tubulin or actin were deemed unsuitable due to potential co-regulation. Ran, a nuclear GTPase involved in nucleocytoplasmic transport, is not known to be transcriptionally or post-translationally regulated by Tubulin-associated signaling pathways. To ensure its reliability as a loading control, we confirmed by densitometric analysis that Ran expression showed minimal variability across all samples. Hence, we used Ran for accurate normalization in the Western blot data represented in this manuscript. We have also used GAPDH as a loading control and found no difference with respect to Ran as a loading control across samples.

      We appreciate the reviewer's comment regarding the interpretation of our Pearson's correlation coefficient (PCC) results. While the mean colocalization value of 0.6 represents a moderate positive correlation (MUKAKA 2012), which may not reach the conventional threshold for "high positive" colocalization (usually considered 0.7-0.9), it nonetheless indicates substantial spatial overlap between the proteins of interest. Importantly, colocalization analysis provides supportive but indirect evidence for molecular proximity.  To further validate the interaction, we performed a microtubule binding assay, which directly demonstrates the binding of Pfdn5 to stabilized microtubules.

      In accordance with the western blot analysis shown in Figure 2G-I, the levels of Tubulin are reduced in the Pfdn5 mutants (Figure 3B''). We have incorporated and discussed this in the revised manuscript.

      (9) Figure 4: Overexpression of Pfdn appears to rescue the supernumerary satellite bouton numbers induced by human Tau; however, interpretation of this experiment is somewhat complicated as it is performed in Pfdn mutant genetic background. Can overexpression of Pfdn on its own rescue the Tau bouton defect in an otherwise wildtype background?

      We have now coexpressed Pfdn5 and hTau<SUP>V337M</SUP> in an otherwise wild-type background. As shown in Figure S11F-L, Pfdn5 overexpression suppresses Tau-induced bouton defects. We have incorporated the data in the Results section to support the role of Pfdn5 as a modifier of Tau toxicity.

      (10) Lines 256-263 / Figure 5: (a) What exactly are these tau-positive structures (punctae) being stained in larval brains in Fig 5C-E? Most prior work on tau aggregation using Drosophila models has been done in the adult brain, and human wildtype or mutant Tau is not known to form significant numbers of aggregates in neurons (although aggregates have been described following glia tau expression). 

      Therefore, the results need to be further clarified. Besides the provided schematic, a zoomed-out image showing the whole larval brain is needed here for orientation. Have these aggregates been previously characterized in the literature? 

      We agree with the reviewer that the expression of the wildtype or mutant form of human Tau in Drosophila is not known to form aggregates in the larval brain, in contrast to the adult brain (JACKSON et al. 2002; OKENVE-RAMOS et al. 2024). Consistent with previous reports, we also observed that Tau expression on its own does not form aggregates in the Drosophila larval brain.

      However, in the absence of Pfdn5, microtubule disruption is severe, leading to reduced Taumicrotubule binding and formation of globular/round or flame-shaped tangles like aggregates in the larval brain. Previous studies have reported that 1,6-hexanediol can dissolve the Tau aggregate seeds formed by Tau droplets, but cannot dissolve the stable Tau aggregates (WEGMANN et al. 2018). We observed that 5% 1,6-Hexanediol failed to dissolve these Tau puncta, demonstrating the formation of stable aggregates in the absence of Pfdn5. Additionally, we now performed a Tau solubility assay and show that in the absence of Pfdn5, a significant amount of Tau goes in the pellet fraction, which could not be detected by phospho-specific AT8 Tau antibody (targeting pSer202/pThr205) but was detected by total hTau antibody (D5D8N) on the western blots (Figure S8). These data further reinforce our conclusion that  Pfdn5 prevents the transition of hTau from soluble and/or microtubule-associated state to an aggregated, insoluble, and pathogenic state. These new data have been incorporated into the revised manuscript.

      (b) Can additional markers (nuclei, cell membrane, etc.) be used to highlight whether the taupositive structures are present in the cell body or at synapses?

      We performed the co-staining of Tau and Elav to assess the aggregated Tau localization. We found that in the presence of Pfdn5, Tau is predominantly cytoplasmic and localised to the cell body and axons. In the absence of Pfdn5, Tau forms aggregates but is still localized to the cell body or axons. However, some of the aggregates are very large, and the subcellular localization could not be determined (Figure S8M-N'). These might represent brain regions of possible nuclear breakdown and cell death (JACKSON et al. 2002).

      (c) It would also be helpful to perform western blots from larval (and adult) brains examining tau protein levels, phospho-tau species, possible higher-molecular weight oligomeric forms, and insoluble vs. soluble species. These studies would be especially important to help interpret the potential mechanisms of observed interactions.

      Western blot analysis revealed that overexpression of Pfdn5 does not alter total Tau levels (Figure 6O). In Pfdn5 mutants, however, hTau<sup>V337M</sup> levels were reduced in the supernatant fraction and increased in the pellet fraction, indicating a shift from soluble monomeric Tau to aggregated Tau.

      (d) Does overexpression of Pdn5 (UAS-Pdn5) suppress the formation of tau aggregates? I would therefore recommend that additional experiments be performed looking at adult flies (perhaps in Pfdn5 heterozygotes or using RNAi due to the larval lethality of Pdn5 null animals).

      Overexpression of Pfdn5 significantly reduced Tau-aggregates (Elav-Gal4/UASTau<sup>V337M</sup>; UAS-Pfdn5; DPfdn5<sup>15/40</sup>) observed in Pfdn5 mutants (Figure 5E). Coexpression of Pfdn5 and hTau<sup>V337M</sup> suppresses the Tau aggregates/puncta in 30-day adult brain. Since heterozygous DPfdn<sup>15</sup>/+ did not show a reduction in Pfdn5 levels, we did not test the suppression of Tau aggregates in  DPfdn<sup>15</sup>/+; Elav>UAS-Pfdn5, UAS-Tau<sup>V337M</sup>.

      (11) Figure 6, panels A-N: The GMR>Tau rough eye is not a "neurodegenerative" but rather a predominantly developmental phenotype. It results from aberrant retinal developmental patterning and the subsequent secretion/formation of the overlying eye cuticle (lenslets). I am confused by the data shown suggesting a "shrinking eye size" and increasing roughened surface over time (a GMR>tau eye similar to that shown in panel B cannot change to appear like the one in panel H with aging). The rough eye can be quite variable among a population of animals, but it is usually fixed at the time the adult fly ecloses from the pupal case, and quite stable over time in an individual animal. Therefore, any suppression of the Tau rough eye seen at 30 days should be appreciable as soon as the animals eclose. These results need to be clarified. If indeed there is robust suppression of Tau rough eye, it may be more intuitive and clearer to include these data with Figure 1, when first showing the loss-of-function enhancement of the Tau rough eye. Also, why is Pfdn6 included in these experiments but not in the studies shown in Figures 2-5?

      We thank the reviewer for their careful and knowledgeable assessment of the GMR>Tau rough eye model. We appreciate the clarification that the rough eye phenotype could be “developmental” rather than neurodegenerative.”  Our initial observations regarding "shrinking eye size" and "increased surface roughness" clearly show age-related progression of structural change.   Such progression has been observed and reported by others (IIJIMA-ANDO et al. 2012; PASSARELLA AND GOEDERT 2018).   We observed an age-dependent increase in the number of fused ommatidia in GMR-Gal4 >Tau, which were rescued by Pfdn5 or Pfdn6 expression. We noted that adult-specific induction of hTau<sup>V337M</sup> adult flies using the Gal80<sup>ts</sup> and GMR-GeneSwitch (GMR-GS) systems was not sufficient to induce a significant eye phenotype; thus, early expression of Tau in the developing eye imaginal disc appears to be required for the adult progressive phenotype that we observe. We feel that it is inadequate to refer to this adult progressive phenotype as “developmental,” and while admittedly arguable whether this can be termed “degenerative.”   

      To address neurodegeneration more directly, we focused on 30-day-old adult fly brains and demonstrated that Pfdn5 overexpression suppresses age-dependent Tau-induced neurodegeneration in the central nervous system (Figure 6H-N and Figure S12). This supports our central conclusion regarding the neuroprotective role of Pfdn5 in age-associated Tau pathology. Since we found an enhancement in the Tau-induced synaptic and eye phenotypes by Pfdn6 knockdown, we also generated CRISPR/Cas9-mediated loss-of-function mutants for Pfdn6. However, loss of Pfdn6 resulted in embryonic/early first instar lethality, which precluded its detailed analysis at the larval stages.

      (12) Figure 6, panels O-T: the elav>tau image appears to show a different frontal section plane compared to the other panels. It is advisable to show images at a similar level in all panels since vacuolar pathology can vary by region. It is also useful to be able to see the entire brain at a lower power, but the higher power inset view is obscuring these images. I would recommend creating separate panels rather than showing them as insets.

      In the revised figure, we now display the low- and high-magnification images as separate, clearly labeled panels instead of using insets. This improves visibility of the brain morphology while providing detailed views of the vacuolar pathology (Figure 6H-L).

      (13) Figure 6/7: For the experiments in which Pfdn5/6 is overexpressed and possibly suppresses tau phenotypes (brain vacuoles and memory), it is important to use controls that normalize the number of UAS binding sites, since increased UAS sites may dilute GAL4 and reduced Tau expression levels/toxicity. Therefore, it would be advisable to compare with Elav>Tau flies that also include a chromosome with an empty UAS site or other transgenes, such as UAS-GFP or UAS-lacZ.

      We thank the reviewer for the suggestion. Now we have incorporated proper controls in the brain vacuolization, the mushroom body, and ommatidial fusion rescue experiments. Also, we have independently verified whether Gal4 dilution has any effect on the Tau phenotypes (Figure 6H-L, Figure 7, and Figure S11A-B).

      (14) Lines 311-312: the authors say vacuolization occurs in human neurodegenerative disease, which is not really true to my knowledge and definitely not stated in the citation they use. Please re-phrase.

      Now we have made the appropriate changes in the revised manuscript.

      (15) Figure 7: The authors claim that Pfdn5/6 expression does not impact memory behavior, but there in fact appears to be a decrease in preference index (panel D vs panel B). Does this result complicate the interpretation of the potential interaction with Tau (panel F). Are data from wildtype control flies available?

      In our memory assay, a decrease in performance index (PI) of the trained flies compared to the naïve flies indicates memory formation (normal memory in control flies, Figure 7B). In contrast, a lack of significant difference in PI indicates a memory defect (Figure 7C: hTau<sup>V337M</sup> overexpressed flies). "Decrease in preference index (panel D vs panel B)" is not a sign of memory defect; it may be interpreted as a better memory instead. Hence, neuronal overexpression of Pfdn5 (Figure 7D) or Pfdn6 (Figure 7E) in wildtype neurons does not cause memory deficits. In addition, coexpression of Pfdn5/6 and hTau<sup>V337M</sup> successfully rescues the Tau-induced memory defect (significant drop in PI compared to the PI of naïve flies in Figure 7F-G). Moreover, almost complete rescue of the Tau-induced mushroom body defect on Pfdn5 or Pfdn6 expression further establishes potential interaction between Pfdn5/6 and Tau. This data has been incorporated into the revised manuscript.

      The memory assay itself with extensive data on wildtype flies and various other genotype will shortly be submitted for publication in another manuscript (Majumder et al, manuscript under preparation); However, we can confirm for the reviewer that wildtype flies, trained and assayed by the protocol described, show a significant decrease in performance index compared to the naïve flies, indicative of strong learning and memory performance, very similar to the control genotype data shown in Figure 7B. 

      Additional minor considerations

      (16) Lines 50-52: there are many therapeutic interventions for treating tauopathies, but not curative or particularly effective ones.

      Now we have made the appropriate changes in the revised manuscript.

      (17) Lines 87-106 seem like a duplication of the abstract. Consider deleting or condensing.

      We have made the appropriate changes in the revised manuscript.

      (18) Where is pfdn5 expressed? Development v. adult? Neuron v. glia? Conservation?

      Prefoldin5 is expressed throughout development but strongly localized to the larval trachea and neuronal axons. Drosophila Pfdn5 shows 35% overall identity with human PFDN5. 

      (19) Liine 187: is pfdn5 truly "novel"?

      The role of Pfdn5 as microtubule-binding and stabilizing is a new finding and has not been predicted or described before. Hence, it is a novel neuronal microtubule-associated protein.  

      (20) Figure 5, panel F, genotype labels on the x-axis are confusing; consider simplifying to Control, DPfdn, and Rescue.

      We have made appropriate changes in the figure for better readability.

      (21) Figures 5/8: it might be preferable to use consistent colors for Tau/HRP--Tau is labeled green in Figure 5 and then purple in Figure 8.

      We have made these changes where possible. 

      (22) Lines 311-312: Vacuolar neuropathology is NOT typically observed in human Tauopathy.

      We thank the reviewer for pointing this out. We have made the appropriate changes in the revised manuscript.

      (23) Lines 328-349: The explanation could be made more clear. Naïve flies should not necessarily be called controls. Also, a more detailed explanation of how the preference index is computed would be helpful. Why are some datapoints negative values?

      (a) We have rewritten this paragraph to make the description and explanation clearer. The detailed method and formula to calculate the Preference index have been incorporated in the Materials and Methods section.

      (b) We have replaced the term Control with Naïve. 

      (c) Datapoints with negative values appeared in some of the 'Trained' group flies. It indicates that post-CuSO<sub>4</sub> training, some groups showed repulsion towards the otherwise attractive odor 2,3B. As 2,3B is an attractive odorant, naïve or control flies show attraction towards it compared to air, which is evident from a higher number of flies in the Odor arm (O) compared to that of the Air arm (A) of the Y-maze; thus, the PI [(O-A/O+A)*100] is positive in case of naïve fly groups. Training of the flies led to an association of the attractive odorant with bitter food, leading to a decrease of attraction, and even repulsion towards the odorant in a few instances, resulting in less fly count in the odor arm compared to the air arm. Hence, the PI becomes negative as (O-A) is negative in such instances. Thus, it is not an anomaly but indicates strong learning. 

      (24) Line 403: misspelling "Pdfn"

      We have corrected this.

      (25) Lines 423-425: recommend re-phrasing, since tauopathies are human diseases. Mice and other animal models may be susceptible to tau-mediated neuronal dysfunction but not Tauopathy, per see.

      We have made the appropriate changes in the revised manuscript.

      (26) Lines 468-469: "tau neuropathology" rather than "tau associated neuropathies".

      We have made the appropriate changes in the revised manuscript. 

      References

      Askenazi, M., T. Kavanagh, G. Pires, B. Ueberheide, T. Wisniewski et al., 2023 Compilation of reported protein changes in the brain in Alzheimer's disease. Nat Commun 14: 4466.

      Hsieh, Y. C., C. Guo, H. K. Yalamanchili, M. Abreha, R. Al-Ouran et al., 2019 Tau-Mediated Disruption of the Spliceosome Triggers Cryptic RNA Splicing and Neurodegeneration in Alzheimer's Disease. Cell Rep 29: 301-316 e310.

      Iijima-Ando, K., M. Sekiya, A. Maruko-Otake, Y. Ohtake, E. Suzuki et al., 2012 Loss of axonal mitochondria promotes tau-mediated neurodegeneration and Alzheimer's disease-related tau phosphorylation via PAR-1. PLoS Genet 8: e1002918.

      Jackson, G. R., M. Wiedau-Pazos, T. K. Sang, N. Wagle, C. A. Brown et al., 2002 Human wildtype tau interacts with wingless pathway components and produces neurofibrillary pathology in Drosophila. Neuron 34: 509-519.

      Ji, W., K. An, C. Wang and S. Wang, 2022 Bioinformatics analysis of diagnostic biomarkers for Alzheimer's disease in peripheral blood based on sex differences and support vector machine algorithm. Hereditas 159: 38.

      Leitner, D., G. Pires, T. Kavanagh, E. Kanshin, M. Askenazi et al., 2024 Similar brain proteomic signatures in Alzheimer's disease and epilepsy. Acta Neuropathol 147: 27.

      Li, L., Y. Jiang, G. Wu, Y. A. R. Mahaman, D. Ke et al., 2022 Phosphorylation of Truncated Tau Promotes Abnormal Native Tau Pathology and Neurodegeneration. Mol Neurobiol 59: 6183-6199.

      Mershin, A., E. Pavlopoulos, O. Fitch, B. C. Braden, D. V. Nanopoulos et al., 2004 Learning and memory deficits upon TAU accumulation in Drosophila mushroom body neurons. Learn Mem 11: 277-287.

      Mukaka, M. M., 2012 Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Med J 24: 69-71.

      Okenve-Ramos, P., R. Gosling, M. Chojnowska-Monga, K. Gupta, S. Shields et al., 2024 Neuronal ageing is promoted by the decay of the microtubule cytoskeleton. PLoS Biol 22: e3002504.

      Passarella, D., and M. Goedert, 2018 Beta-sheet assembly of Tau and neurodegeneration in Drosophila melanogaster. Neurobiol Aging 72: 98-105.

      Sun, Z., J. S. Kwon, Y. Ren, S. Chen, C. K. Walker et al., 2024 Modeling late-onset Alzheimer's disease neuropathology via direct neuronal reprogramming. Science 385: adl2992.

      Tao, Y., Y. Han, L. Yu, Q. Wang, S. X. Leng et al., 2020 The Predicted Key Molecules, Functions, and Pathways That Bridge Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD). Front Neurol 11: 233.

      Wegmann, S., B. Eftekharzadeh, K. Tepper, K. M. Zoltowska, R. E. Bennett et al., 2018 Tau protein liquid-liquid phase separation can initiate tau aggregation. EMBO J 37.

    1. Amniocentesis, is a diagnostic test in which the amniotic fluid is withdrawnusing a needle, and under ultrasound guidance, in order to obtain a sample offoetal exfoliated cells.

      where is the needle stuck in to extract the fluid?

    2. The Anterior or cranial neuropore closes about day 24.The Posterior or caudal neuropore closes at about day 26.The anterior portion of the neural tube eventually forms the brain while theposterior portion of the neural tube forms the spinal cord.The cells of the neural crest will differentiate to form the components of theperipheral nervous system.The notochord degenerates and only persists as the Nucleus Pulposus of theintervertebral discs.Other mesoderm cells differentiate into the somites, the precursors of the axialskeleton and skeletal muscles.

      what if the neuropore failed to close by the appropriate date

    3. So, how does this neural tube form?During the third gestational week, a crease or fold appears in the neural plate.The crease rapidly deepens and becomes known as the neural groove. Theentire embryo is lengthening as this happens. As the neural groove continuesto deepen, the lateral edges of the plate begin to rise like two ocean wavescoming together. These edges are called the neural folds, and the tips of theneural folds are called the neural crest cells. As the neural folds approacheach other and start fusing, these neural crest cells just separate from theneural folds and form their own layer. Now the neural folds fuse in the midlineto form a neural tube.

      Why does neural tube closure occur at multiple initiation points instead of one continuous fusion site?

    4. The frontal lobe is the largest of the four lobes and is involved with highercognitive functions, including problem-solving, decision-making, attention,intelligence, and voluntary behaviors

      if the frontal lobe is damaged or affected, how will the person act on a day to day basis?

    Annotators

    1. Countries have tried four times to agree on the fate of Antarctic waters and each time have failed to reach consensus.

      Previous attempts that have failed.

    2. create two large marine reserves in the Ross Sea and the waters off East Antarctica.

      Potential solution to provide habitats for emperor penguins.

    3. two dozen countries and the European Union will decide the fate of some of the most important penguin habitat on Earth

      Previous attempt in 2015 to help protect emperor penguins.

    1. We encourage Treaty parties to:  Protect the emperor penguin through domestic law,  Designate the emperor penguin a Specially Protected Species,  Urgently implement a Specially Protected Species Action Plan, and Establish a representative network of Marine Protected Areas across the Southern Ocean.

      Proposals the ASOC has presented to try and protect emperor penguins.

    2. urge decision makers to protect the emperor penguin.

      ASOC is still trying to accomplish their goal, and persuade higher-ups to agree to their proposal.

    3. In 2022, Antarctic Treaty nations considered a proposal to designate the emperor penguin as a Specially Protected Species within the Antarctic Treaty System.

      Proposal for a way to protect emperor penguins.

    4. emperor penguin chicks have been lost due to warming oceans and reduced sea ice cover.

      With global warming getting worse over the past decade, emperor penguin chicks have not been able to survive.

    1. What function does leading serve?
      1. Leading involves the social and informal sources of influence that you use to inspire action taken by others.
    2. What function does organizing serve?
      1. developing an organizational structure and allocating human resources to ensure the accomplishment of objectives.
    3. Are there any criticisms of this framework?
      1. the P-O-L-C functions might be ideal but that they do not accurately depict the day-to-day actions of actual managers
    4. Are there any criticisms of this framework?
      1. the P-O-L-C functions might be ideal but that they do not accurately depict the day-to-day actions of actual managers
    1. hat's who captures the bureaucracy. And that is why the system is sclerotic. That is why the system is slow and broken and unanswerable to the people and not even thinking about the people.

      for - adjacency - Nick Fuentes - argument against Trump - anti - elite grievances - like socialist-leaning liberals - Fuentes argument against Trump have the same talking points as a liberal argument. - This shows that the same pain points of inequity are at the root of both the left and the right - the left are slow to recognize the same grievances are behind MAGA, and so have been ineffective in winning these voters back

    1. nd, to cap theclimax of their base ingratitude and fiendish barbarity, my grandmother, who was now very old, having outlivedmy old master and all his children, having seen the beginning and end of all of them, and her present ownersfinding she was of but little value, her frame already racked with the pains of old age, and complete helplessnessfast stealing over her once active limbs, they took her to the woods, built her a little hut, put up a little mud-chimney, and then made her welcome to the privilege of supporting herself there in perfect loneliness; thusvirtually turning her out to die!

      A sad ending for someone who was in slavery for their entire life without any recognition,

    1. The Appeal of the MiddleThere’s a type of game that I don’t think the world will ever have enough of: they’re the pleasant, 45-minute games that I can teach to anyone, but can also play with anyone. I’ve played this with my non-gamer mom, and my hardcore gamer friends, and many in between. The beauty is that 1) it’s easy to learn for new gamers, 2) possesses enough depth that gamers can enjoy it, but 3) also has enough randomness and a forgiving strategic learning curve, so that new gamers will stand a chance against more experienced players, and 4) plays quickly enough that it never overstays its welcome.

      board game: mid-weight, beginner-friendly

    1. Energy Security and Independence Another major benefit of renewable energy is enhanced energy security. Many countries currently depend on fossil fuel imports, leaving them vulnerable to geopolitical instability, trade disruptions and price volatility. This dependence creates not only economic risks but also strategic vulnerabilities.

      less dependent getting energy

    1. Less maintenance For certain types of renewable energy sources, the maintenance and maintenance costs of their infrastructure are minimal. Solar photovoltaic systems, for example, generally don’t have moving parts and can last 25 years or more with little maintenance. Hydroelectric power plants typically have low operating costs (link resides outside ibm.com) and require little maintenance as well, with long-lasting equipment that can remain in operation for decades.

      less maintnence to do

    1. Finally, the findings suggest that digital-AI transformation exerts a dual effect on employees, which may be closely related to industry-specific contexts.

      Depending on both the worker and the job/company, this integration of AI could make or break the employee's ability to adapt or find a new job.

    2. Digital-AI transformation can be perceived by employees as either a threat or an opportunity.

      Back to the double-edged sword metaphor, if used poorly, it can very negatively affect workers, but if used correctly, it can boost both workers and company performance.

    3. Simultaneously, employees face the need to acquire new skills and tools in response to the challenges of digital-AI transformation; however, mastering these skills in a short time proves challenging, often resulting in elevated psychological stress, frustration, and job insecurity (Rangrez et al., 2022; Wang and Wang, 2022).

      AI threatens many jobs in the market, which can cause people to pick up more skills and attempt to adapt, but those who cannot may lose their jobs and not be able to recover or adapt.

    4. According to a 2023 survey conducted by the large U.S.-based job site Resume Builder (2023), 49% of companies report using ChatGPT, with 93% indicating plans to expand their use of chatbots.

      AI is the future, and we have to learn to adapt, but also how to apply it to the workplace effectively to have it move us forward rather than hinder us.

    1. Sustainable Resource Use: Renewable energy sources are naturally replenished, meaning they are virtually inexhaustible. The sun shines every day, and the wind blows continuously in many regions. Unlike fossil fuels, which require extensive mining or drilling, renewables do not deplete natural resources or damage ecosystems.

      reason to switch to renewable energy

    1. The cost of renewable energy technologies has decreased dramatically in recent years, making them increasingly competitive with fossil fuels. Continued technological advancements, economies of scale, and supportive policies will further reduce costs.

      reason to switch to renewable energy

    1. Options for using renewable energy include: Generating renewable energy on-site using a system or device at the location where the power is used (e.g., PV panels on a state building, geothermal heat pumps, biomass-fueled combined heat and power). Purchasing green power through a green power procurement process that involves the generation of renewable energy certificates (RECs). Purchasing renewable energy from an electric utility through a green pricing or green marketing program, where buyers pay a small premium in exchange for electricity generated locally from green power resources.

      options for renewable energy to use in essay

    1. Renewable energy offers numerous economic, environmental, and social advantages. These include:Reduced carbon emissions and air pollution from energy productionEnhanced reliability, security, and resilience of the power gridJob creation through the increased production and manufacturing of renewable energy technologiesIncreased U.S. energy independenceLower energy costsExpanded energy access for remote, coastal, or isolated communities.

      Shows extra advantages to making renewable energy only energy

    1. Research methods can be classified in various ways, such as by the type of study (basic or applied), the approach. the choice of research type depends on the study's objectives, the problem to be solved, and the available resources.

    2. The purpose of an informative essay, sometimes called an expository essay, is to educate others on a certain topic

      always make sure you are asking these qustions.

    3. The conclusion is your opportunity to summarize the essay and hopefully spur the reader to want to learn more about the topic. Be sure to clearly reiterate the thesis statement. In your introduction, you may have laid out what would be covered in the essay. Offer a sentence or two reiterating what was learned about those topic areas. Finally, work to avoid adding any new information and questions in this final section of your writing.

      Without a solid conclusion, your paper can feel incomplete or unfocused. Give the reader why your paper matters

    4. Begin with a topic sentence. Using one of the five Ws or H questions here will remind you and your readers what you will focus on in this paragraph. Introduce your sources in a sentence or two to summarize what the information revealed about your topic. Include a direct quote using P.I.E. and reflect on what the source illuminated about your question.

      This explains how you to build strong, clear, and well-supported body paragraphs in your essay or research paper.

    5. Define the topic. Provide short background information. Introduce who your intended audience is. State what your driving research question is. Create a thesis statement by identifying the scope of the informative essay (the main point you want your audience to understand about your topic).

      This organizes your thoughts before you start writing, keeps your essay focused, and makes it easier for your readers to understand and remember your main idea.

    6. textbooks written with students in mind, (2) monographs which give an extended report on a large research project, and (3) edited-volumes in which each chapter is authored by different people.

      Textbooks help you understand the basics, research books give you detailed info you can use as evidence, and edited collections let you see different experts’ ideas.

    7. objective is to highlight specific information about your topic. In this project, you may be asking “after researching general aspects about my topic, what do I want others to understand about it?”

      After researching the basics, think about the specific message you want people to take away.

    8. these essays aim to answer the five Ws and H questions: who, what, where, when, why, and how.

      The essay explains the full story of the topic through the six main questions

    9. . A report is written from the perspective of someone who is seeking to find specific and in-depth information about a certain aspect of a topic.

      In your own words a way to investigate and describe one part of a bigger topic in detail.

    10. Informative Research Report is a report that relays the results of a central research question in an organized manner through more formal sources

      A research paper that focuses on one topic, is well organized, and uses trusted sources

    1. Clean renewable energy lets us avoid the pollution and harm to our climate caused by burning fossil fuels, including coal, oil, and fossil gas (commonly called methane or natural gas).

      Evidence that renewable energy helps environment

    1. Overall, 62% disapprove of the way Trump is handling his job as president, while 36% approve. This is largely unchanged from October, when 61% disapproved and 36% approved.

      When looking at a poll of the last month, it will look like Trump's approval is unchanged. But if you zoom out, you can see the decline in approval sharply. The framing of the data is just as important as the data itself.

    2. Trump’s approval rating remains low during government shutdown

      The research article deals with the approval rating of President Trump. It provides its methodology to its data collection, showing step by step how they gathered participants and what they were asked. The sample was random with standard error provided. The questions show a lack of bias or direction and appear to be politically neutral.

    1. These deviations were not random but system-atically biased toward downgrades and underpayment.

      AI willingly was deviating from the information it was given, being harsher intentionally despite being trained by human responses.

    2. Second,our participant sample consisted of Minecraft players, whowere predominantly male (70%) and relatively young (meanage = 26, SD = 6.2), potentially limiting generalizability tomore diverse labor populations.

      Clear flaw in the experiment that they acknowledge would affect the outcome.

    3. Our results are not good news. The very features thatmake AI systems appear impartial can also make thempowerful instruments of silent exploitation, leading work-ers to accept downgraded evaluations and lower pay with-out protest.

      AI can be very problematic in the workplace, as it can exploit human workers, as AI may not be able to comprehend the experiences and feelings of a human.

    4. In large e-commerce firms like Amazon, algorithmic management useswearable devices to track location and movements, creatinghigh-resolution depictions of worker activity in the physi-cal world

      Effective use of AI, as it still includes human touch, but with the collaboration of AI to enhance it.

    5. In online customer service centers, AI pro-grams monitor calls, screen activities, and keystrokes to as-sess worker performance

      Common uses for AI in the workplace are for more time-consuming or less mentally demanding tasks, which is why AI often takes the jobs of the less creative positions.

    1. Note: E is not energy but electric potential. (19.1.7)W=q⋅Δ⁢E

      The reasoning behind this is because it represents the amount of energy per given unit charge (In this case Coulombs, but Joule / Volt could work too). A great analogy I saw online because this topic can be confusing for intro to electrochemistry is the height analogy. That is an object on a high ledge does not have any kinetic energy but rather potential energy (the unit here being per g or lb that increases with increased potential energy).

    1. The ninth edition of the MLA Style Guide states that your in-text, or parenthetical, citations should do the following: Clearly indicate the specific sources also referenced in the works cited Specifically identify the location of the information that you used Carefully create a clear and concise citation, always confirming its accuracy Check out the video below for more discussion of your in-text citations.

      Checklist

    1. Here are a few tips that will help you during the peer review process: Begin by reading the assignment instructions. Your instructor will likely have clear goals for the peer review process, and following the instructions will help you provide significant and meaningful revision ideas for your peer. Read your peer’s essay from the beginning to the end without adding any comments. This first read allows you to grasp your peer’s intentions and focus. Complete a second reading of your peer’s draft and start looking for strengths and weaknesses. Make comments on the margins of your peer’s essay. Later, you can further expand on these comments when you complete the peer review form. Stop when you feel stuck and ask yourself, “If this were my paper, how would I revise it?” Set aside time to review the organization of your peer’s essay. Read their thesis statement and make sure their body paragraphs have topic sentences that connect to their thesis statement. If there isn’t a clear connection, consider helping your peer revise their topic sentence so the connection between the thesis and body paragraph is easy to understand. Be honest. Your peers want to earn the best grade they can, and your advice during peer review will help them achieve this goal. Think of every piece of advice as constructive criticism. Your advice will help them to create a stronger, more focused writing sample.

      Peer review check

    1. Two Formulas for Paragraph Structure We have looked at the basic parts of your essay, and now we have a sample formula to help you expand your ideas about your evidence. Between the Introduction (and thesis) and the Conclusion (and reflection on the thesis) comes the body of the essay. For your essay’s body to be solid and focused, it needs to have clear, well-developed paragraphs. Even paragraphs need to have a beginning, middle, and end. To help you think about paragraph organization, think about TEAR: T = Topic Sentence This is like a little thesis for your paragraph. It tells the reader what that paragraph is all about. If your reader were only to read the topic sentences in your essay, he/or she should have a general idea of what you’re talking about. Of course, he/she can’t get a complete picture unless you provide… E = Evidence This is the “how do you know?” part of your paragraph. Evidence comes from the real world. You may present your evidence in the form of statistics, direct quotes, summaries, or paraphrases from a source, or your own observations. Evidence is available to us all. What your reader needs is for you to make sense of that evidence so that s/he understands what all this has to do with your thesis or claim. That is why you provide… A = Analysis This is the ‘so what?’ part of your paragraph. You say what is important and why. This isn’t just personal taste or opinion. You have to provide good reasons to support your conclusions. And just to make sure you’re still on track, you… R = Reflection This sentence concludes the paragraph and relates to the topic sentence and the thesis. Ideally, it should also prepare us for the next paragraph. Note Transitions are like the mortar between the bricks. Transitions hold our ideas together and move us gracefully from point to point. Some common transition words or phrases may include although, therefore, because, in fact, for example, on the other hand, while, in addition, in contrast, then again, furthermore, but back to our main point… To help you think about TEAR, imagine your snarky little brother looking over your shoulder as you compose, asking you: T = “What’s all this about?” E = “How do you know?” A = “Why should I care?” R = “What does this have to do with anything?” You may be thinking, I’ve heard this before, but it wasn’t called TEAR. It was called…. PIE What does PIE stand for? P = Point. This is the point of the paragraph, or the topic sentence. I = Illustration. This is where you illustrate your point with evidence E = Explanation. This is where you explain how that evidence supports your point. This is your analysis. Why give you two ways to think of this? Because you may find that to fully develop your paragraph, you’ll need to add a little more evidence and analysis. And it looks a little funny to write TEAEAR. So, you can think of PIE-IE-IE will always love you.

      TEAR PIE

    2. Topic sentence: summarizes the main idea of the paragraph; presents a claim that supports your thesis. Supporting sentences: examples, details, and explanations that support the topic sentence (and claim). Concluding sentence: gives the paragraph closure by relating the claim back to the topic sentence and thesis statement.

      structure needed

    3. Facts. Facts are the best kind of evidence to use because they  cannot be disputed and help build your credibility. They support your stance by providing background information or a solid foundation for your point of view. However, some facts may still need explanation. For example, the sentence “The most populated state in the United States is California” is a fact, but it may require some explanation to make it relevant to your specific argument. Judgments. Judgments are conclusions drawn from the given facts. Judgments are more credible than opinions because they are founded upon careful reasoning and examination of a topic. Testimony. Testimony consists of direct quotations from either an eyewitness or an expert witness. An eyewitness is someone who has direct experience with a subject; he adds authenticity to an argument based on facts. An expert witness is a person who has extensive experience with a topic. This person studies the facts and provides commentary based on either facts or judgments, or both. An expert witness adds authority and credibility to an argument. Personal observation. Personal observation is similar to testimony, but personal observation consists of your testimony. It reflects what you know to be true because you have experiences and have formed either opinions or judgments about those experiences. For instance, if you are one of five children and your thesis states that being part of a large family is beneficial to a child’s social development, you could use your own experience to support your thesis.

      Evidence

    4. Be specific. The main points you make about your thesis and the examples you use to expand on those points need to be specific. Use specific examples to provide the evidence and to build upon your general ideas. These types of examples give your reader something narrow to focus on, and if used properly, they leave little doubt about your claim. General examples, while they convey the necessary information, are not nearly as compelling or useful in writing because they are too obvious and typical. Be relevant to the thesis. Primary support is considered strong when it relates directly to the thesis. Primary support should show, explain, or prove your main argument without delving into irrelevant details. When faced with lots of information that could be used to prove your thesis, you may think you need to include it all in your body paragraphs. But effective writers resist the temptation to lose focus. This idea is so important, here it is again: effective writers resist the temptation to lose focus. Choose your examples wisely by making sure they directly connect to your thesis. Be detailed. Remember that your thesis, while specific, should not be overly detailed. The body paragraphs are where you develop the discussion that a thorough essay requires. Using detailed support shows readers that you have considered all the facts and chosen only the most precise details to enhance your point of view.

      Characteristics

    1. The greater the inconsistencies in existing service and quality, in lead times and in lag times, the greater the vacuums and gaps in information and knowledge, the greater the opportunities

      lead time

      リードタイム◆製品の企画から生産開始までに要する時間。商品の発注から納品までに要する時間。 lag time 時間のずれ、遅延時間、死節時

    1. Music is filled with complex emotions and understandings that are multidimensional. By exploring emotion and its relationship to music, students can become familiar with complex and abstract processes inherent in music

      Students understand the depth and diversity of music by seeing it as more than just notes on a paper, leading to mental and emotional growth.

    2. Students who are intellectually gifted can possess an almost limitless amount of creative potential in their area of giftedness. Likewise, students who have differences in learning may also be extraordinarily creative in one or more areas of scholarly pursuit. With strict guidelines or expectations removed, all students are able to create at a level that is comfortable for them and to fully utilize their creative gifts and strengths.

      It encourages involvement, drive, and genuine learning growth by allowing all students to fully use their creative talents. Educators can create an environment where each student has the chance to grow creatively by taking into account their unique learning styles and strengths.

    3. Attention-seeking behaviors or behaviors that seem rude can occur, resulting in misunderstandings between teachers and students. These developmentally asynchronous events are disruptive to the classroom routine and to the learning process of all students.

      I think educators may handle this with support rather than annoyances when they know the real reasons of these behaviors.

    4. In the past, schools utilized an IQ testing process that included group and/or individual testing of students in schools with results often used to determine the children eligible for gifted programs in schools.

      This method excluded lots of students who did not match normal assessment structures, such as those with uneven learning histories or various cultural or language backgrounds.

    5. More work does not necessarily mean a student is learning or is engaged. Students who are gifted can begin to feel their giftedness is a punishment if they are consistently asked or required to complete a greater quantity of work.

      This strategy has a chance to create dislike, lower motivation, and portray the idea that moving forward just leads to more work rather than happier or more challenging chances at success. By understanding this, educators can offer more comprehensive, more enjoyable assignments that promote creativity.

    6. Differentiating educational experiences in the music classroom can benefit all learners. When planning lessons, activities, and rehearsals, considering the variant needs of students with differences and disabilities is essential

      By understanding this helps educators to develop assignments, plans, tools, and guidelines that give a range in options for students to use, participate in, and succeed in musical education.

    7. Music educators need to know their gifted students’ relative strengths and challenges. Once these specific needs are known, it becomes easier to be aware of possible behavioral triggers for a specific student and ways to lessen the effect these behaviors may have on other students in music.

      By noticing these factors, educators can take action to reduce the negative impact on talented students and also the whole group or classroom.

    8. Recently, schools have begun using portfolios, interviews with teachers and parents, and other authentic measures to identify intellectually gifted students who may not score in that range through an IQ test alone.

      These approaches focus skills like creativity, problem-solving, and motivation that standard IQ testing could lack. Teachers can put a deeper understanding of a student's abilities by considering actual task examples while receiving feedback from people that know the child well.

    9. For students who are highly or profoundly gifted, a change in placement (LRE) may be necessary. These placement options are discussed next. There are also several options in the general classroom for enhancing the teaching and learning environment for students who are gifted.

      Gifted students may need alternative placements. Flexible grouping or something like independent projects can provide a challenge without removing them from an inclusive setting.

    10. the emotions of a child combined in a childish body is to encounter certain difficulties” (p. 21). Students who are gifted are, by nature, asynchronous in their development.

      Asynchronous development often leads to perfectionism and imposter syndrome. How can music educators normalize mistakes and emphasize growth to support emotional well-being?

    11. Music educators who teach gifted students are sometimes challenged by the depth of creativity and divergent thinking presented by students during instruction

      More work is not the same as more challenge; wanting students to focus on something meaningful like composition. This ensures gifted students see their creativity as valued.

    12. Students who are gifted often possess an extreme attention span when engaged in activities that interest them.

      Gifted students master concepts quickly and disengage when the pacing is too slow. Differentiated instruction, such as questions or learning centers, can sustain engagement.

    13. questioning, and continue to question all day while demanding answers. This active questioning can exhaust teachers and parents. In addition, gifted students often prefer the company of older children and/or adults to children of the same chronological age.

      Gifted students' constant questioning can be misinterpreted as defiance. How many teachers channel this curiosity into inquiry-based learning that benefits the whole class?

    14. . The concept that giftedness is an elitist value is as absurd as proposing that teaching students with intellectual disabilities is not worth serious discussion within the educational community.

      The chapter reframes gifted education as equity rather than elitism. Gifted students deserve individualized instruction just as much as students with intellectual disabilities.

    15. Mildly (or basically) gifted115-129

      The IQ categories mirror special education. Yet, gifted students rarely receive differentiated service. Why do schools provide nuanced support for lower IQ ranges but not for for higher ones?

    16. That was a great performance level for a high school student. She was a little relieved that Hannah would not be in the band on a regular basis because she wasn’t sure how she would be able to teach her much, let alone challenge her. Ms. Harvey then began working with the other students and told them that they all played well enough to play in the advanced band.

      Hannah's advanced flute skills highlight the mismatch between her abilities and available school structures. What systematic changes would make sure that gifted students have access to art programs without sacrificing their academics?

    17. They are also at great risk in our classrooms, which are often designed for the average student and to offer accommodations for students with other types of differences and disabilities.

      The text warns us that gifted students are at "great risk" in classrooms designed for average learners. How might music teachers balance the different styles of both slower and faster learners without showing favoritism in their teaching? Gifted students disengage in classrooms designed for average learning and ignore their needs.

    18. While the philosophy of this text has placed importance on encouraging “label-free learning” for students with differences and disabilities, there are times when a distinction is necessary. One of these distinctions is in the cognitive domain

      The chapter advocates for "label-free learning" but admits that labels can be useful in cognition. How can teachers have a balance between avoiding stigma and making sure gifted students receive support?

    1. Every large city in the country has its challenges with special education, and in New York, the systemis so tangled, so complex and so large, that the problems that have taken decades to build up seemalmost impossible to pick apart

      This is understandable because New York is a such large city where includes all kinds of people with a large diversity. The richest people and poorest people both living there. People with all kinds of races, careers, genders, and believes all gathered at New York. This complexity in the society can illustrate so much obvious and hidden problems of education in all kinds of perspectives. It is urgent to make changes to improve the situation of these special students.

    2. Nobody knows how many T.J.s there are in the system, children for whom years were lost andopportunities slipped away. And for each of them, the stakes could not be higher

      This line captures the tragedy of systemic neglect and how many students like T.J. are forgotten in the system. It emphasizes that every delay or oversight has lifelong consequences, making accountability in special education crucial

    3. T.J. is one of more than 200,000 students in New York City public schools classified as having adisability, which can be anything from mild dyslexia to a complex physical disorder. These studentsare a small city unto themselves, and the special education system that serves them is awash indelays, misinformation and confusion

      This opening shows how massive and disorganized the special education system is. With so many students affected, delays and misinformation can have serious long term effects. It really highlights how systemic inefficiency can fail the very students it’s meant to support.

    1. From October 31 to November 3, 2025, Data for Progress conducted a survey of 1,228 U.S. likely voters nationally using web panel respondents. The sample was weighted to be representative of likely voters by age, gender, education, race, geography, and recalled presidential vote.

      I think this is important that it is pointed out that EVERY citizens wasn't involved in this poll but rather a sample of citizens and this could mean that polls are constructed using certain methods, and the choices made in sampling and weighting affect the final results.

    2. Voters trust the Democratic Party (51%) more than the Republican Party (43%) to handle SNAP, including Independents by a +10-point margin.

      When it comes to the SNAP benefits,it seems like the people think that the democratic party would handle this issue better, and in my opinion, I agree since looking at how the administration is working right now (republican) during this shutdown isn't benefiting anyone and hurting millions of citizens. So it's understandable why the majority of the poll says this. Even with independent/ third party voters even trust the left side more by a good number, I feel that shows a lot.

    3. Broadly, these results indicate that voters across party lines are united on how President Trump should handle SNAP benefits — they are overwhelmingly favorable of SNAP, would be concerned about benefits getting cut off, and overwhelmingly want the Trump administration to use reserve funds to continue providing nutrition assistance.

      I thought this was important to spot out because of how divided our country is and how much discourse democrats and republicans have but in this time of the government shutdown, both parties have almost the same view on this topic and how everyone should still get the benefits needed to get through these food insecure times.

    1. In addition to TMAO plasma reduction, acute decreases in plasma levels of amino acids and acute increases in circulating levels of fatty acids were found. The lower plasma levels of amino acids were a class effect, suggesting a stark decrease in protein metabolism during fasting and potentially an increase in protein synthesis.

      increase in protein sysnthesis, easier to build muscle

    1. Lo que hagas con tu experiencia estudiantil depende de ti. Recuerda por qué estás en la universidad y asegúrate de dedicar tu tiempo a alcanzar tus metas. En tu campus encontrarás recursos y personas dispuestas a ayudarte. Tú tienes el control: úsalo sabiamente.

      Todo depende de ti mismo ya no es la escuela secundaria

    2. En la cultura popular, algunas películas retratan la vida universitaria como una fiesta constante donde los estudiantes beben en exceso y malgastan el di

      La mayoría de gente piensa que es mucha fiestas grandes como en las películas pero es lo contrario

    1. The Quinnipiac University Poll, directed by Doug Schwartz, Ph.D. since 1994, produces independent, non-partisan national and state polls on politics and issues.

      Poll being described as independent and non-partisan builds further credibility and consistency.

    2. Response options in parentheses were rotated.

      The Quinnipiac University poll rotated response options to minimize order effects and priming. This decision to do so improves the validity of responses.

    3. 1,013 U.S. adults nationwide were surveyed from October 31st - November 2nd

      The survey includes a strong sample size of 1,013 U.S. adults which gives us strong national level insights. Also important to note further down in that paragraph that 399 of those people identify themselves as basketball fans who watch the NBA.

    4. Results have a margin of sampling error of +/- 3.2 percentage points for the full sample, including the design effect. Error margins are larger for subgroups. The sample included 399 self-identified NBA fans with a margin of sampling error of +/- 5.1 percentage points, including the design effect

      This poll is clear and transparent. This being stated so clearly helps us as readers to assess the reliability of the subgroup comparisons.

    5. participants are recruited via address-based sampling to take surveys online

      The Quinnipiac University poll used the Ipsos KnowledgePanel, which recruits participants for their survey via address-based sampling. This method uses a probability-based sample, which increases the poll’s generalizability to the average U.S. adults.

    1. This church language may be more complex than the language they encounter in school texts in both English and Spanish. For example, some of the Latinx students at the church who were in ESL programs engaged in higher level language and literacy practices at church than in their high school (Ek, 2008/9)

      This really got my brain juices going because how many times as teachers or parents have we not read things that may have been a little harder for the children? Giving the students the chance to see or read with you during something harder could make all the difference. I was really really bad at reading and comprehension while in school however it all changed when an English teacher allowed us to read anything…. I tried Stephen King, then Dean Koontz. My reading and reading comprehension over the years has greatly improved. We must learn to let them read and expose them to new text even if it is hard.

    2. Sunday school teachers organized the learning so that students could have multiple opportunities to engage in practices valued by the church and to make sense of and appropriate the texts and principles.

      I love that the teachers used multiple ways for the students to learn. I have tried to learn multiple languages however there was nothing but book work and repeat what the teacher said. I did not have a practical way to learn and use what I was learning. It was difficult to understand and I believe using multiple ways to approach learning is best.

    3. Education scholars highlight religious settings as important sites for language and literacy learning

      I totally agree with this because most religions have a written word they read from and this gives a person of a different language the opportunity to practice the new language in a safe environment with others. There is bonding while reading and studying one’s religious beliefs. I have a current student who is academically low in reading and a personal goal of theirs is to be able to read the Holy Bible better so they created his own vocabulary words that he would like to work on.

    1. Bresnahan said he learned that the college was reassigning him two weeks in advance. The rationale was related to his strategic vision.  “The only reason I was given had to do with strategy,” Bresnahan said.

      what was his strategic vision?

    1. The 233black microplate exhibits substantially reduced background interference, making it a 234superior choice for Raman screening applications.

      Any hypothesis for why this might be? It would also be helpful to include the name and part number for both plate types

    2. This design enables firm attachment of the plate frame to the build plate. Figure 4:B shows the microplate mounted in the frame and affixed to the build plate.

      I really like this idea for mounting 96 well plates!

    1. Poll Questions

      How many people were interviewed? 1,562 U.S. adults nationwide were interviewed. 867 employed adults were also analyzed for workforce-specific questions. How were the people chosen? Participants were selected using random digit dialing, meaning randomly generated landline and cellphone numbers. Interviews were conducted by live interviewers. Demographic weighting (age, gender, race, education, region) was applied. When was the poll conducted? April 3–7, 2025 What is the sampling error? The margin of error is: +/- 2.5 percentage points for the full sample of U.S. adults +/- 3.3 percentage points for the employed-adult subset

    2. These are among the findings in a Quinnipiac (KWIN-uh-pea-ack) University national poll of adults released today examining attitudes about artificial intelligence.

      Who paid for the poll? Quinnipiac University paid for and sponsored the poll. This was done in collaboration with the School of Computing & Engineering and the School of Business at Quinnipiac.

    3. The Age Of Artificial Intelligence: Americans Wary Of Impact On Daily Life, See Harm To Education, Benefits To Medical Advances, Quinnipiac University National Poll Finds; Americans Expect AI Will Cause Job Losses But Workers Don't Think Their Own Jobs Will Disappear

      Who conducted the survey? The poll was conducted by the Quinnipiac University Poll, an independent, non-partisan polling organization based at Quinnipiac University.

    1. mindful of any past trauma families might have around interfacing with school

      This is an interesting point and one I've never encountered before about a teacher's role when interacting with families. While I think this could be useful, I'm wondering what this would look like in practice, especially if teachers are working with a group of students who each bring their own families into the mix. Is it really the teacher's role to also navigate familial trauma?

    2. cultural scaffolding by providing links between new academic concepts and students’ background knowledge that comes from their families, communities, and lived experiences

      I really love this idea, and I think it gets at the heart of what should be happening in all classrooms, which is LEARNING. This type of learning expands beyond the sometimes confining walls of academia, and really helps students understand what it means to be students of the world.

    3. Becoming self-aware can be difficult and uncomfortable

      This self-reflection is always the first step towards any type of change, and it also reminds me of the positionality readings we did earlier on in the term. As teachers (or tutors!), we are bringing our own identities to the classroom, and it would be a shame to not understand our strengths and also our limitations before interacting with others.

    4. demographic gaps

      This week's readings and video are really making me reflect on my career goals. I someday want to teach writing, but as a white woman who speaks English and took a few years of ASL courses, how can I best show up for students who don't share the same background as me? I think this will be a lifelong question I ask myself, and with more experience will come more answers, but I'm grateful that these readings have opened a sort of door for me to think about.

    5. students of color make up the majority of students enrolled in U.S. public school

      This reminds me of the statistic Dorinda Carter Andrews shared in her TED Talk, that there is an "inherent cultural mismatch" between students of color and the majority of their teachers being white. So when teachers preach "I don't see color" and try to approach every student in the same way without understanding the inequalities some students are facing, then they're failing as educators.

    1. sources of digital structured data (e.g., spreadsheets, traditional relational databases, content management systems) have seen far less critical enquiry. Structured digital data are often venerated for their capacities to facilitate interoperability, equitable data exchange, democratic forms of engagement with, and widespread reuse of archaeological records, yet their constraints on our knowledge formation processes are arguably profound and deserving of detailed interrogation.

      If we only record an event's details in a rigid structured database, we create dark data. This is the subjective human wisdom which is the feelings, fear, or conflicts that are/could be found in a diary. The database intentionally leaves this wisdom behind because it is too ambiguous to fit its focus on measurable facts.

    1. Identifiers play a fundamental role in shaping data quality and reusability.

      When analyzing archival documents, we must use unique, permanent identifiers for each document. This is an ethical duty because it ensures that future researchers can trace the data's original source and context (who found it, where it's stored), preventing errors and making data reusable.

    1. The Reuters/Ipsos poll, which lsurveyed 1,200 U.S. adults nationwide online, closed just before Congress voted to end the longest government shutdown in U.S. history.

      1200 participants, online, and the poll occured while the government was still shut down and poltically tensions and emotions were/are high

    2. All 435 seats in the U.S. House of Representatives will be up for grabs next year, as will 35 seats in the 100-member U.S. Senate. Republicans currently control both chambers of Congress.

      ^ above the margin of error is 6 percentage points

    3. Some 79% of Democrats said they would regret it if they didn't vote in the election, compared to 68% of Republicans.

      Democrats have more at stake

    1. We are not suggesting that bullying prevention programs be curtailed; rather,we would argue that sexual harassment prevention receive attention as a dis-tinct focus.

      I agree with the idea that “bullying” and “sexual harassment” should not be collapsed into a single category. Sexual harassment has specific legal and psychological dimensions that require clear policy and training. This sentence makes me think that schools might need separate, well-designed sessions on sexual harassment, rather than one general anti-bullying talk that does not address power, gender, and sexuality directly.

    2. of LGBTQ lives in the curricula all contribute to negative school-basedexperiences. This chapter details recent studies and theoretical work on thehostile climate in schools, examines gaps in curricula, and discusses family-related issues that also challenge LGBTQ students or students with LGBTQparents. These may include a lack of role models in schools, discomfort withparental involvement, or, especially in the case of children with LGBTQ par-ents, difficult relations between school and family (Kosciw & Diaz, 2008).In keeping with our focus on the diversity of LGBTQ experiences, thischapter continues an analysis of the intersections of racial, gendered, andgender-identity-related violence, harassment, and alienation that students inpublic school and family settings experience. The particular implications forschools' intervention in bias and provision of spaces for

      This section shows how exclusion in both curriculum and school climate harms LGBTQ+ students. The lack of representation and safety reinforces feelings of isolation, especially for queer students of color.

    3. Such misunderstandings of law and policy lead to category errors inenforcement or to ignoring the problem of harassment altogether. In theirexamination of how teachers understand anti-bullying and anti-sexual ha-rassment laws, Charmaraman et al. (2013) found that teachers believedbullying to refer to unpleasant peer-to-peer relationships, but did not un-derstand that sexual harassment could be peer-based. Further, teachers didnot connect what they took to be boys bullying girls with Title IX's prohibi-tion of a hostile gender-based environment created by sexual harassment

      This highlights how gaps in teacher understanding allow harassment to persist. Many educators don’t realize that peer actions can still count as sexual harassment under Title IX. Better training on these laws could help schools respond more effectively and protect students from genderbased harm

    4. Laws and regulations canhelp them improve school climate and help them know how to put inclusiveknowledge into practice. Homophobia and transphobia, in a very real sense,affect everyone-even professionals who know they ought to do better bysexual and gender minority students feel constrained by the biases circulat-ing in their schools

      Yes, not only hoping for a change in school leaders, I agree that laws and regulations can be helpful in changing school environment. Laws could guarantee a basic protection for people from minor groups. Moreover, it is true that changing the situation of minor groups also promotes the situation of others. Students can really be effected by those circumstances, and a diverse and tolerant atmosphere is needed.

    1. Protection shall be given to life and property; and every man shall enjoy,henceforth, his just rights, without fear of molestation.

      Interesting reading. Its sort of what you would expect from such a statement. The British frame it as their obligation to take over because of the Treaty. I wonder what conditions in Awadh were actually like, if it actually was dangerous and incompetent. Regardless, it is 3 pages of niceties and formal language predicating the truth of the matter, that being total British dominion which the locals must submit.

    2. If any officer of the Durbar — Jageerdar,9 Zemindar,10 or other person — shallrefuse to render such obedience, if he shall withhold the payment of revenue, orshall otherwise dispute or defy the authority of the British Government, he shallbe declared a rebel, his person shall be seized, and his jageers or lands shall beconfiscated to the State.To those who shall, immediately and quietly, submit themselves to theauthority of the British Government [i.e., the BEIC], whether Amils or publicofficers, Jageerdars, Zemindars, or other inhabitants of Oude, full assurance ishereby given of protection, consideration, and favour

      This is really the important part of the text, where they say what they've really been wanting to say. "Submit or die"

    3. or it must put forth its own greatpower on behalf of a people for whose happiness it, more than fifty years ago,engaged to interpose, and must at once assume to itself the exclusive andpermanent administration of the territories of Oude.

      So generous of the British

    4. But his Majesty the King refused to enter into the amicable agreement whichwas offered for his acceptance.

      How wicked of him, to resist being a puppet

    5. which its position under the treaty servesindirectly to sustain, or continue to the sovereign that protection which aloneupholds the power whereby such evils are inflicted

      This excuse is so silly. "We have to take over because we signed a treaty saying that we would make things good here"

    6. The powers of government throughout his dominions are for the most partabandoned to worthless favourites of the court, or to violent and corrupt men, unfitfor their duties and unworthy of trust.The collectors of the revenue hold sway over their districts with uncontrolledauthority, extorting the utmost payment from the people, without reference to pastor present engagements.The king’s troops, with rare exceptions undisciplined and disorganized, anddefrauded of their pay by those to whom it is entrusted, are permitted to plunderthe villages for their own support, so that they have become a lasting scourge tothe country they are employed to protect.

      These are the apparent corruptions and evils of the government. I wonder how many of these are true. I wonder if any deteriorating of government may be caused by the British neutering them.

    7. the people of Oude are still the victims of incompetency,corruption, and tyranny

      Again, their conditions are apparently horrible. Also, who is really the Tyrant here?

    8. ameliorate the condition of the peopleof Oude had been thwarted or evaded

      What is this horrible condition that they keep referencing? What was actually wrong here?

    9. power and authority of a royalrace who, whatever their faults towards their own subjects, have ever been faithfuland true to their friendship with the English nation.

      What an odd statement. They're basically lil broing them. The rulers were certainly not blindly loyal as we read in the head note. This statement seems intended to give the pretense that the British respect the people.

    10. The obligations which the treatyimposed upon the Honourable East India Company have been observed by it formore than half a century, faithfully, constantly, and completely

      The obligations being to pilfer their treasuries and rule their sovereign territory

    Annotators

    1. As a result, weare witnessing the first generation of trans kids who can actually be trans kids.

      I interpret this sentence as saying that more children are able to live openly in their gender, rather than hiding it. I think this also suggests that schools have less excuse to ignore transgender students. Even if adults are uncertain, this line pushes them to see trans students as present now, not as an abstract future group.

    2. How much of homophobia is a reflection of cultu~al amtudes aboutsex in general and how particular objections to teachmg about LGBTQ

      This shifts the focus from sexual orientation alone to visible gender expression. I think this helps explain why some heterosexual students who do not fit gender expectations are also targeted. It makes me wonder how school dress codes, sports teams, and classroom expectations reinforce this bias.

    3. Gender bias is also a problem not only for women. Young men whounderstand cultural messages about masculinity as encouraging their dem-onstration of superiority show their power through aggressive taunting.Whether because of pressure to conform to this problematic notion of malepower or out of concern that they will be thought to be weak or gay if theydon't harass, young men are the group most likely to harass LGBTQ youthand young cisgender women as well. Even though we live in a time whengender norms continue to stretch, especially for women, schools are stillinstitutions where gender sorting occurs, whether it is in the classroom or incommunity settings that debate policy and curricula. Sex education contin-ues to be a relatively conservative part of schools, leading with abstinencc-until-marriage messages that not only exclude most LGBTQ students,but also leave girls at disproportionate risk for unwanted pregnancy (notbecause-obviously-only girls can get pregnant, but because so few youngmen are held responsible for the children that result).

      This section highlights how rigid gender norms harm everyone not just women. It’s powerful how Mayo connects toxic masculinity to both harassment and the silencing of LGBTQ+ children. Schools play a big role in reinforcing these ideas especially through outdated sex ed that excludes queer students and fails to hold boys accountable.

    4. Understanding the interplay of normative identities, intersections ofidentity categories, and creative reworkings of norms and categories canhelp provide better strategies for members of school communities to con-sider their own practices more carefully and to challenge how normativityand homophobia create barriers to education for all students

      This example shows how everyday school routines, like lining up by gender, can subtly reinforce gendered binary thinking. Teachers could reduce this by organizing groups in more inclusive ways that don’t highlight gender.

    5. Whilesome religious traditions may be the root of some cultural disapproval ofhomosexuality, most religious traditions do not require their adherents todemand doctrinal discipline from those outside their faith tradition.

      This sentence reminds me of the meaning of a religion.There are nice religions that give people hope and tide people together for spiritual comfort, but there are some other religions, or maybe cult, tend to control people and force them to do things that hurt themselves. When religions trying to disapprove people from homosexuality, is it because of the religion or is it because of the group of people not want homosexuality to appear and view them as 'heretic'? I think the idea of religion represents the mindset for 'what is good' of a group of people.

    6. rawing on theories discussing gender as a process, homophobia, and intcr-sectionality, this chapter examines the pervasiveness of heteronormativityand the varieties of queerness to help readers understand where bias comesfrom, as well as be attuned to differences in the experiences of gender di-verse, creative, and/or nonconforming students and/or sexual minority stu-dents.

      This opening paragraph previewed that this reading is gonna talk about how differences in gender and sex brought different experiences to students. I think it must be related to the disparity of right and power. The history of homophobia tend to show that people who got the right to speak could define what is right and what is wrong that effects how people view peopple with different sexes and gender.

    1. Many countries are now preparing to fend off attempts to narrowly define the term “gender” in the plan.

      It's that orgs don't want to change the definition because what is the backlash if they provide funding to organisations that acknowledge trans and non non-binary people as women?

    2. Gender rights advocates said the move would backslide on decade-old language within the UN system.

      Why exactly?

      Is the assumption that including trans and non-bionary people in the definition of woman will mean that people won't fund projects for women and girls because trans and non-bionary people could also benefit from these programmes?

    1. PovertyLiving in poverty is associated with conditions that make academic success difficult. For example,low-income children suffer from vision impairment at twice the normal rate. They endure thiscondition as a result of the poor prenatal development that occurs when low-income pregnantmothers do not get adequate care and nutrition (Morgan, 2019). Unfortunately, Black, Hispanic,and Native American students live in poverty at much higher rates than White families (Morgan,2018a; Sauter, 2018).Researchers have hypothesized that living in poverty contributes to the disproportionate rate ofstudents of color in special education since these students are more likely to be exposed to riskfactors that increase academic underachievement and behavioral problems. In addition to visionimpairment, low-income students suffer more from the effects of exposure to lead, high bloodpressure, and low birth weight (Morgan & Farkas, 2018).

      This section connects poverty to educational challenges that often lead to misplacement in special education. It’s striking how health and environmental factors outside of school still shape academic outcomes. It reinforces how addressing inequality means improving living conditions, not just classroom interventions.

    1. In this paper I draw on my life story as a teacher educator and the mother of a daughter with disabilities to trouble the identity that positions and labels her as, first and foremost in U.S. school settings, a "child with special needs." Drawing on a brief snippet from our profoundly interrelated lives (Hillyer, 1993), I argue that educators must reconsider the positioning of children who differ from the "norm," and stop labeling, and hence limiting, children. I end with recommendations for personal, educational, and societal policies and practices that would be less painful and limiting, and more inclusive, supportive, and ultimately democratic

      O’Brien’s reflection challenges how schools define children by their disabilities instead of their abilities. By questioning these labels, she pushes educators to see students as whole people rather than categories. Her call for more inclusive and democratic practices feels essential for real equity in education.

    2. As I, and many others see it, the main problem with labels is that they conceal more than they reveal, and they change the way we see people.

      I think this line really captures the problem with labeling students in school. Even if labels are meant to “help,” they usually end up shrinking a whole person down to one characteristic. It shows how labels shape teachers’ expectations and even how children start to see themselves. This quote shows that the system often focuses more on what a student can’t do than on what they bring to the classroom, which is why the author pushes so hard for more humanizing and inclusive practices.

    3. Her discomfort is, then, not caused by her disability so much as it is caused by active marginalization, isolation, and the lack of existing supports.

      I feel so bad for Lydia and what she have had experienced. I think I can understand a part of her feeling. It is true that sometimes people feel bad is much more because of the attitudes and behaviors of others toward themselves. It turns out that it is essential for schools and educators to promote non-labeling school vibe and teach students how to be respectful and friendly toward their peers.

    1. ________________________________________________________________________

      The writer mentions two differences: the role of women in society is different. The other one is Islam bans eating pork and drinking alcohol.

    2. ________________________________________________________________________

      The writer wants to show that Christianity and Islam are not very different. The purpose is to explain that the two religions share many similarities.

    3. ________________________________________________________________________

      First of all, the writer indicates the complexity of Cree in comparision with English. Second thing is that nouns are divided into two groups that are living and not living. Last thing in Cree there are no separate possession words.

    4. important differences between the grammar of Cree and the grammar of English

      The writer contrasts grammar of Cree and the grammar of English here.

    1. eLife Assessment

      In this valuable study, the authors used an elegant genetic approach to delete EED at the post-neural crest induction stage. The usage of the single-cell RNA-seq analysis method is extremely suitable to determine changes in the cell type-specific gene expression during development. Results backed by solid evidence demonstrate that Eed is required for craniofacial osteoblast differentiation and mesenchymal proliferation after the induction of the neural crest.

    2. Reviewer #2 (Public review):

      Summary:

      The role of PRC2 in post neural crest induction was not well understood. This work developed an elegant mouse genetic system to conditionally deplete EED upon SOX10 activation. Substantial developmental defects were identified for craniofacial and bone development. The authors also performed extensive single-cell RNA sequencing to analyze differentiation gene expression changes upon conditional EED disruption.

      Strengths:

      (1) Elegant genetic system to ablate EED post neural crest induction.

      (2) Single-cell RNA-seq analysis is extremely suitable for studying the cell type specific gene expression changes in developmental systems.

      Original Weaknesses:

      (1) Although this study is well designed and contains state-of-art single cell RNA-seq analysis, it lacks the mechanistic depth in the EED/PRC2-mediated epigenetic repression. This is largely because no epigenomic data was shown.

      (2) The mouse model of conditional loss of EZH2 in neural crest has been previously reported, as the authors pointed out in the discussion. What is novelty in this study to disrupt EED? Perhaps a more detailed comparison of the two mouse models would be beneficial.

      (3) The presentation of the single-cell RNA-seq data may need improvement. The complexity of the many cell types blurs the importance of which cell types are affected the most by EED disruption.

      (4) While it's easy to identify PRC2/EED target genes using published epigenomic data, it would be nice to tease out the direct versus indirect effects in the gene expression changes (e.g Fig. 4e)

      Comments on latest version:

      The authors have addressed weaknesses 2 and 3 of my previous comment very well. For weaknesses 1 and 4, the authors have added a main Fig 5 and its associated supplemental materials, which definitely strengthen the mechanistic depth of the story. However, I think the audience would appreciate if the following questions/points could be further addressed regarding the Cut&Tag data (mostly related to main Figure 5):

      (1) The authors described that Sox10-Cre would be expressed at E8.75, and in theory, EED-FL would be ablated soon after that. Why would E16.5 exhibit a much smaller loss in H3K27me3 compared to E12.5? Shouldn't a prolong loss of EED lead to even worse consequence?

      (2) The gene expression change at E12.5 upon loss of EED (shown in Fig. 4h) seems to be massive, including many PRC2-target genes. However, the H3K27me3 alteration seems to be mild even at E12.5. Does this infer a PRC2 or H3K27 methylation - independent role of EED? To address this, I suggest the authors re-consider addressing my previously commented weakness #4 regarding the RNA-seq versus Cut&Tag change correlation. For example, a gene scatter plot with X-axis of RNA-seq changes versus Y-axis of H3K27me3 level changes.

      (3) The CUT&Tag experiments seem to contain replicates according to the figure legend, but no statistical analysis was presented including the new supplemental tables. Also, for Fig. 5c-d, instead of showing the MRR in individual conditions, I think the audience would really want to know the differential MRR between Fl/WT and Fl/Fl. In other words, how many genes/ MRR have statistically lower H3K27me3 level upon EED loss.

    3. Author response:

      The following is the authors’ response to the original reviews.

      Reviewer #1 (Public review):

      Epigenetic regulation complex (PRC2) is essential for neural crest specification, and its misregulation has been shown to cause severe craniofacial defects. This study shows that Eed, a core PRC2 component, is critical for craniofacial osteoblast differentiation and mesenchymal proliferation after neural crest induction. Using mouse genetics and single-cell RNA sequencing, the researcher found that conditional knockout of Eed leads to significant craniofacial hypoplasia, impaired osteogenesis, and reduced proliferation of mesenchymal cells in post-migratory neural crest populations.

      Overall, the study is superficial and descriptive. No in-depth mechanism was analyzed and the phenotype analysis is not comprehensive.

      We thank the reviewer for sharing their expertise and for taking the time to provide helpful suggestions to improve our study. We are gratified that the striking phenotypes we report from Eed loss in post-migratory neural crest craniofacial tissues were appreciated. The breadth and depth of our phenotyping techniques, including skeletal staining, micro-CT, echocardiogram, immunofluorescence, histology, and primary craniofacial cell culture provide comprehensive data in support our hypothesis that PRC2 is required for epigenetic control of craniofacial osteoblast differentiation. To provide mechanistic data in support of this hypothesis, we have now performed CUT&Tag H3K27me3 chromatin profiling on nuclei harvested from E12.5 or E16.5 Sox10-Cre Eed<sup>Fl/WT</sup> and Sox10-Cre Eed<sup>Fl/Fl</sup> craniofacial tissue. These new data, which are presented in Fig. 5, Supplementary Fig. 9, and Supplementary Tables 7-10 of our revised manuscript, validate our hypothesis that epigenetic regulation of chromatin architecture downstream of PRC2 activity underlies craniofacial osteoblast differentiation. In particular, we now show that Eed-dependent H3K27me3 methylation is associated with correct temporal expression of transcription factors that are necessary for craniofacial differentiation and patterning, such as including Msx1, Pitx1, Pax7, which were initially nominated by single-cell RNA sequencing of E12.5 Sox10-Cre Eed<sup>Fl/WT</sup> and Sox10-Cre Eed<sup>Fl/Fl</sup> craniofacial tissues in Fig. 4, Supplementary Fig. 5-7, and Supplementary Tables 1-6.

      Reviewer #2 (Public review):

      Summary:

      The role of PRC2 in post-neural crest induction was not well understood. This work developed an elegant mouse genetic system to conditionally deplete EED upon SOX10 activation. Substantial developmental defects were identified for craniofacial and bone development. The authors also performed extensive single-cell RNA sequencing to analyze differentiation gene expression changes upon conditional EED disruption.

      Strengths:

      (1) Elegant genetic system to ablate EED post neural crest induction.

      (2) Single-cell RNA-seq analysis is extremely suitable for studying the cell type-specific gene expression changes in developmental systems.

      We thank the reviewer for their generous and helpful comments on our study. We are happy that our mouse genetic and single-cell RNA sequencing approaches were appropriate in pairing the craniofacial phenotypes we report with distinct gene expression changes in post-migratory neural crest tissues upon Eed deletion.

      Weaknesses:

      (1) Although this study is well designed and contains state-of-the-art single-cell RNA-seq analysis, it lacks the mechanistic depth in the EED/PRC2-mediated epigenetic repression. This is largely because no epigenomic data was shown.

      Thank you for this suggestion. As described in response to Reviewer #1, we have now performed CUT&Tag H3K27me3 chromatin profiling on nuclei harvested from E12.5 or E16.5 Sox10-Cre Eed<sup>Fl/WT</sup> and Sox10-Cre Eed<sup>Fl/Fl</sup> craniofacial tissues to provide mechanistic epigenomic data in support of our hypothesis that hat PRC2 is required for craniofacial osteoblast differentiation. These new data, which are presented in Fig. 5, Supplementary Fig. 9, and Supplementary Tables 7-10 of our revised manuscript, integrate genome-wide and targeted metaplot visualizations across genotypes with in-depth analyses of methylation rich regions and genes associated with methylation rich loci. Broadly, these new data reveal that changes in H3K27me3 occupancy correlate with gene expression changes from single-cell RNA sequencing of E12.5 Sox10-Cre Eed<sup>Fl/WT</sup> and Sox10-Cre Eed<sup>Fl/Fl</sup> craniofacial tissues in Fig. 4, Supplementary Fig. 5-7, and Supplementary Tables 1-6.

      (2) The mouse model of conditional loss of EZH2 in neural crest has been previously reported, as the authors pointed out in the discussion. What is novel in this study to disrupt EED? Perhaps a more detailed comparison of the two mouse models would be beneficial.

      We acknowledge and cite the study the reviewer has indicated (Schwarz et al. Development 2014) in our initial and revised manuscripts. This elegant investigation uses Wnt1-Cre to delete Ezh2 and reports a phenotype similar to the one we observed with Sox10-Cre deletion of Eed, but our study adds depth to the understanding of PRC2’s vital role in neural crest development by ablating Eed, which has a unique function in the PRC2 complex by binding to H3K27me3 and allosterically activating Ezh2. In this sense, our study sheds light on whether phenotypes arising from deletion of Eed, the PRC2 “reader”, differ from phenotypes arising from deletion of Ezh2, the PRC2 “writer”, in neural crest derived tissues. Moreover, we provide the first single-cell RNA sequencing and epigenomic investigations of craniofacial phenotypes arising from PRC2 activity in the developing neural crest. Due to limitations associated with the Wnt1-Cre transgene (Lewis et al. Developmental Biology 2013), which targets pre-migratory neural crest cells, our investigations used Sox10Cre, which targets the migratory neural crest and is completely recombined by E10.5. We have included a detailed comparison of these mouse models in the Discussion section of our revised manuscript, and we thank the reviewer for this thoughtful suggestion. 

      (3) The presentation of the single-cell RNA-seq data may need improvement. The complexity of the many cell types blurs the importance of which cell types are affected the most by EED disruption.

      We thank the reviewer for the opportunity to improve the presentation of our single-cell RNA sequencing data. In response, we have added Supplementary Fig. 8 to our revised manuscript, which shows the cell clusters most affected by EED disruption in UMAP space across genotypes. Because we wanted to capture the fill diversity of cell types underlying the phenotypes we report, we did not sort Sox10+ cells (via FACS, for example) from craniofacial tissues before single-cell RNA sequencing. Our resulting single-cell RNA sequencing data are therefore inclusive of a diversity of cell types in UMAP space, and the prevalence of many of these cell types was unaffected by epigenetic disruption of neural crest derived tissues. The prevalence of the cell clusters that are most affected across genotypes and which are most relevant to our analyses of the developing neural crest are shown in Fig. 4c (and now also in Supplementary Fig. 8), including C0 (differentiating osteoblasts), C4 (mesenchymal stem cells), C5 (mesenchymal stem cells), and C7 (proliferating mesenchymal stem cells). Marker genes and pseudobulked differential expression analyses across these clusters are shown in Fig. 4d and Fig. 4e-h, respectively. 

      (4) While it's easy to identify PRC2/EED target genes using published epigenomic data, it would be nice to tease out the direct versus indirect effects in the gene expression changes (e.g Figure 4e).

      We agree with the reviewer that the single-cell RNA sequencing data in our initial submission do not provide insight into direct versus indirect changes in gene expression downstream of PRC2. In contrast, the CUT&Tag chromatin profiling data that we have generated for this revision provides mechanistic insight into H3K27me3 occupancy and direct effects on gene expression resulting from PRC2 inactivation in our mouse models.

      REVIEWING EDITOR COMMENTS

      The following are recommended as essential revisions

      (1) The study is overall superficial and primarily descriptive, lacking in-depth mechanistic analysis and comprehensive phenotype evaluation.

      Please see responses to Reviewer #1 and Reviewer #2 (weaknesses 1 and 4) above. 

      (2) The authors did not investigate the temporal and spatial expression of Eed during cranial neural crest development, which is crucial for explaining the observed phenotypes.

      The temporal and spatial expression of Eed during embryogenesis is well studied. Eed is ubiquitously expressed starting at E5.5, peaks at E9.5, and is downregulated but maintained at a high basal expression level through E18.5 (Schumacher et al. Nature 1996). Although comprehensive analysis of Eed expression in neural crest tissues has not been reported (to our knowledge), Eed physically and functionally interacts with Ezh2 (Sewalt et al. Mol Cell Biol 1998), which is enriched at a diversity of timepoints throughout all developing craniofacial tissues (Schwarz et al. Development 2014). In our study, we confirmed enrichment of Eed expression in craniofacial tissues throughout development using QPCR, and have provided a more detailed description of these published and new findings in the Discussion section of our revised manuscript. 

      (3) There is no apoptosis analysis provided for any of the samples.

      We evaluated the presence of apoptotic cells in E12.5 craniofacial sections using immunofluorescence for Cleaved Caspase 3 in Supplementary Fig. 3d. Although we found a modest increase in the labeling index of apoptotic cells, there was insufficient evidence to conclude that apoptosis is a substantial factor in craniofacial hypoplasia resulting from Eed loss in post-migratory neural crest craniofacial tissues. We have clarified these findings in the Results and Discussion sections of our revised manuscript. 

      (4) As Eed is a core component of the PRC2 complex, were any other components altered in the Eed cKO mutant? How does Eed regulation influence osteogenic differentiation and proliferation through known pathways?

      We thank the editors for this thoughtful inquiry. Although we did not specifically investigate expression or stability of other PRC2 components in Eed conditional mutants, and little is known about how Eed regulates osteogenic differentiation or proliferation through any pathway, our single-cell RNA sequencing data presented in Fig. 4, Supplementary Fig. 5-7, and Supplementary Tables 1-6 provide a significant conceptual advance with mechanistic implications for understanding bone development downstream of Eed and do not reveal any alterations in the expression of other PRC2 components across genotypes. We have clarified these important details in the Discussion section of our revised manuscript. 

      (5) The authors may compare the Eed cKO phenotype with that of the previous EZH2 cKO mouse model since both Eed and EZH2 are essential subunits of PRC2.

      Please see responses to editorial comment 2 above and the last paragraph of the Discussion section of our revised manuscript for comparisons between Eed and Ezh2 knockout phenotypes.

    1. eLife Assessment

      This useful study explores the role of RAP2A in asymmetric cell division (ACD) regulation in glioblastoma stem cells (GSCs), drawing parallels to Drosophila ACD mechanisms and proposing that an imbalance toward symmetric divisions drives tumor progression. While findings on RAP2A's role in GSC expansion are promising, and the reviewers found the study innovative and technically solid, the study relies on neurosphere models without in vivo confirmation and will therefore need to be further validated in the future.

    2. Reviewer #1 (Public review):

      Summary:

      The authors validate the contribution of RAP2A to GB progression. RAp2A participates in asymetric cell division, and the localization of several cell polarity markers including cno and Numb.

      Strengths:

      The use of human data, Drosophila models and cell culture or neurospheres is a good scenario to validate the hypothesis using complementary systems.

      Moreover, the mechanisms that determine GB progression, and in particular glioma stem cells biology, are relevant for the knowledge on glioblastoma and opens new possibilities to future clinical strategies.

      Weaknesses:

      While the manuscript presents a well-supported investigation into RAP2A's role in GBM, some methodological aspects could benefit from further validation. The major concern is the reliance on a single GB cell line (GB5), including multiple GBM lines, particularly primary patient-derived 3D cultures with known stem-like properties, would significantly enhance the study's robustness.

      Several specific points raised in previous reviews have improved this version of the manuscript:

      • The specificity of Rap2l RNAi has been further confirmed by using several different RNAi tools.

      • Quantification of phenotypic penetrance and survival rates in Rap2l mutants would help determine the consistency of ACD defects. The authors have substantially increased the number of samples analyzed including three different RNAi lines (both the number of NB lineages and the number of different brains analyzed) to confirm the high penetrance of the phenotype.

      • The observations on neurosphere size and Ki-67 expression require normalization (e.g., Ki-67+ cells per total cell number or per neurosphere size). This is included in the manuscript and now clarified in the text.

      • The discrepancy in Figures 6A and 6B requires further discussion. The authors have included a new analysis and further explanations and they can conclude that in 2 cell-neurospheres there are more cases of asymmetric divisions in the experimental condition (RAP2A) than in the control.

      • Live imaging of ACD events would provide more direct evidence. Live imaging was not done due to technical limitations. Despite being a potential contribution to the manuscript, the current conclusions of the manuscript are supported by the current data, and live experiments can be dispensable

      • Clarification of terminology and statistical markers (e.g., p-values) in Figure 1A would improve clarity. This has been improved.

      Comments on revisions:

      The manuscript has improved the clarity in general, and I think that it is suitable for publication. However, for future experiments and projects, I would like to insist in the relevance of validating the results in vivo using xenografts with 3D-primary patient-derived cell lines or GB organoids.

    3. Reviewer #2 (Public review):

      This study investigates the role of RAP2A in regulating asymmetric cell division (ACD) in glioblastoma stem cells (GSCs), bridging insights from Drosophila ACD mechanisms to human tumor biology. They focus on RAP2A, a human homolog of Drosophila Rap2l, as a novel ACD regulator in GBM is innovative, given its underexplored role in cancer stem cells (CSCs). The hypothesis that ACD imbalance (favoring symmetric divisions) drives GSC expansion and tumor progression introduces a fresh perspective on differentiation therapy. However, the dual role of ACD in tumor heterogeneity (potentially aiding therapy resistance) requires deeper discussion to clarify the study's unique contributions against existing controversies.

      Comments on revisions:

      More experiments as suggested in the original assessment of the submission are needed to justify the hypothesis drawn in the manuscript.

    4. Author response:

      The following is the authors’ response to the original reviews.

      Reviewer #1 (Public review):

      Summary:

      The authors validate the contribution of RAP2A to GB progression. RAp2A participates in asymmetric cell division, and the localization of several cell polarity markers, including cno and Numb.

      Strengths:

      The use of human data, Drosophila models, and cell culture or neurospheres is a good scenario to validate the hypothesis using complementary systems.

      Moreover, the mechanisms that determine GB progression, and in particular glioma stem cells biology, are relevant for the knowledge on glioblastoma and opens new possibilities to future clinical strategies.

      Weaknesses:

      While the manuscript presents a well-supported investigation into RAP2A's role in GBM, several methodological aspects require further validation. The major concern is the reliance on a single GB cell line (GB5), which limits the generalizability of the findings. Including multiple GBM lines, particularly primary patient-derived 3D cultures with known stem-like properties, would significantly enhance the study's relevance.

      Additionally, key mechanistic aspects remain underexplored. Further investigation into the conservation of the Rap2l-Cno/aPKC pathway in human cells through rescue experiments or protein interaction assays would be beneficial. Similarly, live imaging or lineage tracing would provide more direct evidence of ACD frequency, complementing the current indirect metrics (odd/even cell clusters, Numb asymmetry).

      Several specific points require attention:

      (1) The specificity of Rap2l RNAi needs further confirmation. Is Rap2l expressed in neuroblasts or intermediate neural progenitors? Can alternative validation methods be employed?

      There are no available antibodies/tools to determine whether Rap2l is expressed in NB lineages, and we have not been able either to develop any. However, to further prove the specificity of the Rap2l phenotype, we have now analyzed two additional and independent RNAi lines of Rap2l along with the original RNAi line analyzed. We have validated the results observed with this line and found a similar phenotype in the two additional RNAi lines now analyzed. These results have been added to the text ("Results section", page 6, lines 142-148) and are shown in Supplementary Figure 3.

      (2) Quantification of phenotypic penetrance and survival rates in Rap2l mutants would help determine the consistency of ACD defects.

      In the experiment previously mentioned (repetition of the original Rap2l RNAi line analysis along with two additional Rap2l RNAi lines) we have substantially increased the number of samples analyzed (both the number of NB lineages and the number of different brains analyzed). With that, we have been able to determine that the penetrance of the phenotype was 100% or almost 100% in the 3 different RNAi lines analyzed (n>14 different brains/larvae analyzed in all cases). Details are shown in the text (page 6, lines 142-148), in Supplementary Figure 3 and in the corresponding figure legend.

      (3) The observations on neurosphere size and Ki-67 expression require normalization (e.g., Ki-67+ cells per total cell number or per neurosphere size). Additionally, apoptosis should be assessed using Annexin V or TUNEL assays.

      The experiment of Ki-67+ cells was done considering the % of Ki-67+ cells respect the total cell number in each neurosphere. In the "Materials and methods" section it is well indicated: "The number of Ki67+ cells with respect to the total number of nuclei labelled with DAPI within a given neurosphere were counted to calculate the Proliferative Index (PI), which was expressed as the % of Ki67+ cells over total DAPI+ cells"

      Perhaps it was not clearly showed in the graph of Figure 5A. We have now changed it indicating: "% of Ki67+ cells/ neurosphere" in the "Y axis". 

      Unfortunately, we currently cannot carry out neurosphere cultures to address the apoptosis experiments. 

      (4) The discrepancy in Figures 6A and 6B requires further discussion.

      We agree that those pictures can lead to confusion. In the analysis of the "% of neurospheres with even or odd number of cells", we included the neurospheres with 2 cells both in the control and in the experimental condition (RAP2A). The number of this "2 cell-neurospheres" was very similar in both conditions (27,7 % and 27 % of the total neurospheres analyzed in each condition), and they can be the result of a previous symmetric or asymmetric division, we cannot distinguish that (only when they are stained with Numb, for example, as shown in Figure 6B). As a consequence, in both the control and in the experimental condition, these 2-cell neurospheres included in the group of "even" (Figure 6A) can represent symmetric or asymmetric divisions. However, in the experiment shown in Figure 6B, it is shown that in these 2 cellneurospheres there are more cases of asymmetric divisions in the experimental condition (RAP2A) than in the control.

      Nevertheless, to make more accurate and clearer the conclusions, we have reanalyzed the data taking into account only the neurospheres with 3-5-7 (as odd) or 4-6-8 (as even) cells. Likewise, we have now added further clarifications regarding the way the experiment has been analyzed in the methods.

      (5) Live imaging of ACD events would provide more direct evidence.

      We agree that live imaging would provide further evidence. Unfortunately, we currently cannot carry out neurosphere cultures to approach those experiments.

      (6) Clarification of terminology and statistical markers (e.g., p-values) in Figure 1A would improve clarity.

      We thank the reviewer for pointing out this issue. To improve clarity, we have now included a Supplementary Figure (Fig. S1) with the statistical parameters used. Additionally, we have performed a hierarchical clustering of genes showing significant or not-significant changes in their expression levels.

      (7) Given the group's expertise, an alternative to mouse xenografts could be a Drosophila genetic model of glioblastoma, which would provide an in vivo validation system aligned with their research approach.

      The established Drosophila genetic model of glioblastoma is an excellent model system to get deep insight into different aspects of human GBM. However, the main aim of our study was to determine whether an imbalance in the mode of stem cell division, favoring symmetric divisions, could contribute to the expansion of the tumor. We chose human GBM cell lines-derived neurospheres because in human GBM it has been demonstrated the existence of cancer stem cells (glioblastoma or glioma stem cells -GSCs--). And these GSCs, as all stem cells, can divide symmetric or asymmetrically. In the case of the Drosophila model of GBM, the neoplastic transformation observed after overexpressing the EGF receptor and PI3K signaling is due to the activation of downstream genes that promote cell cycle progression and inhibit cell cycle exit. It has also been suggested that the neoplastic cells in this model come from committed glial progenitors, not from stem-like cells.

      With all, it would be difficult to conclude the causes of the potential effects of manipulating the Rap2l levels in this Drosophila system of GBM. We do not discard this analysis in the future (we have all the "set up" in the lab). However, this would probably imply a new project to comprehensively analyze and understand the mechanism by which Rap2l (and other ACD regulators) might be acting in this context, if it is having any effect. 

      However, as we mentioned in the Discussion, we agree that the results we have obtained in this study must be definitely validated in vivo in the future using xenografts with 3D-primary patient-derived cell lines.

      Reviewer #2 (Public review):

      This study investigates the role of RAP2A in regulating asymmetric cell division (ACD) in glioblastoma stem cells (GSCs), bridging insights from Drosophila ACD mechanisms to human tumor biology. They focus on RAP2A, a human homolog of Drosophila Rap2l, as a novel ACD regulator in GBM is innovative, given its underexplored role in cancer stem cells (CSCs). The hypothesis that ACD imbalance (favoring symmetric divisions) drives GSC expansion and tumor progression introduces a fresh perspective on differentiation therapy. However, the dual role of ACD in tumor heterogeneity (potentially aiding therapy resistance) requires deeper discussion to clarify the study's unique contributions against existing controversies. Some limitations and questions need to be addressed.

      (1) Validation of RAP2A's prognostic relevance using TCGA and Gravendeel cohorts strengthens clinical relevance. However, differential expression analysis across GBM subtypes (e.g., MES, DNA-methylation subtypes ) should be included to confirm specificity.

      We have now included a Supplementary figure (Supplementary Figure 2), in which we show the analysis of RAP2A levels in the different GBM subtypes (proneural, mesenchymal and classical) and their prognostic relevance (i.e. the proneural subtype that presents RAP2A levels significantly higher than the others is the subtype that also shows better prognostic).

      (2) Rap2l knockdown-induced ACD defects (e.g., mislocalization of Cno/Numb) are well-designed. However, phenotypic penetrance and survival rates of Rap2l mutants should be quantified to confirm consistency.

      We have now analyzed two additional and independent RNAi lines of Rap2l along with the original RNAi line. We have validated the results observed with this line and found a similar phenotype in the two additional RNAi lines now analyzed. To determine the phenotypic penetrance, we have substantially increased the number of samples analyzed (both the number of NB lineages and the number of different brains analyzed). With that, we have been able to determine that the penetrance of the phenotype was 100% or almost 100% in the 3 different Rap2l RNAi lines analyzed (n>14 different brains/larvae analyzed in all cases). These results have been added to the text ("Results section", page 6, lines 142-148) and are shown in Supplementary Figure 3 and in the corresponding figure legend. 

      (3) While GB5 cells were effectively used, justification for selecting this line (e.g., representativeness of GBM heterogeneity) is needed. Experiments in additional GBM lines (especially the addition of 3D primary patient-derived cell lines with known stem cell phenotype) would enhance generalizability.

      We tried to explain this point in the paper (Results). As we mentioned, we tested six different GBM cell lines finding similar mRNA levels of RAP2A in all of them, and significantly lower levels than in control Astros (Fig. 3A). We decided to focus on the GBM cell line called GB5 as it grew well (better than the others) in neurosphere cell culture conditions, for further analyses. We agree that the addition of at least some of the analyses performed with the GB5 line using other lines (ideally in primary patientderive cell lines, as the reviewer mentions) would reinforce the results. Unfortunately, we cannot perform experiments in cell lines in the lab currently. We will consider all of this for future experiments.

      (4) Indirect metrics (odd/even cell clusters, NUMB asymmetry) are suggestive but insufficient. Live imaging or lineage tracing would directly validate ACD frequency.

      We agree that live imaging would provide further evidence. Unfortunately, we cannot approach those experiments in the lab currently.

      (5) The initial microarray (n=7 GBM patients) is underpowered. While TCGA data mitigate this, the limitations of small cohorts should be explicitly addressed and need to be discussed.

      We completely agree with this comment. We had available the microarray, so we used it as a first approach, just out of curiosity of knowing whether (and how) the levels of expression of those human homologs of Drosophila ACD regulators were affected in this small sample, just as starting point of the study. We were conscious of the limitations of this analysis and that is why we followed up the analysis in the datasets, on a bigger scale. We already mentioned the limitations of the array in the Discussion:

      "The microarray we interrogated with GBM patient samples had some limitations. For example, not all the human genes homologs of the Drosophila ACD regulators were present (i.e. the human homologs of the determinant Numb). Likewise, we only tested seven different GBM patient samples. Nevertheless, the output from this analysis was enough to determine that most of the human genes tested in the array presented altered levels of expression"[....] In silico analyses, taking advantage of the existence of established datasets, such as the TCGA, can help to more robustly assess, in a bigger sample size, the relevance of those human genes expression levels in GBM progression, as we observed for the gene RAP2A."

      (6) Conclusions rely heavily on neurosphere models. Xenograft experiments or patient-derived orthotopic models are critical to support translational relevance, and such basic research work needs to be included in journals.

      We completely agree. As we already mentioned in the Discussion, the results we have obtained in this study must be definitely validated in vivo in the future using xenografts with 3D-primary patient-derived cell lines.

      (7) How does RAP2A regulate NUMB asymmetry? Is the Drosophila Rap2l-Cno/aPKC pathway conserved? Rescue experiments (e.g., Cno/aPKC knockdown with RAP2A overexpression) or interaction assays (e.g., Co-IP) are needed to establish molecular mechanisms.

      The mechanism by which RAP2A is regulating ACD is beyond the scope of this paper. We do not even know how Rap2l is acting in Drosophila to regulate ACD. In past years, we did analyze the function of another Drosophila small GTPase, Rap1 (homolog to human RAP1A) in ACD, and we determined the mechanism by which Rap1 was regulating ACD (including the localization of Numb): interacting physically with Cno and other small GTPases, such as Ral proteins, and in a complex with additional ACD regulators of the "apical complex" (aPKC and Par-6). Rap2l could be also interacting physically with the "Ras-association" domain of Cno (domain that binds small GTPases, such as Ras and Rap1). We have added some speculations regarding this subject in the Discussion:

      "It would be of great interest in the future to determine the specific mechanism by which Rap2l/RAP2A is regulating this process. One possibility is that, as it occurs in the case of the Drosophila ACD regulator Rap1, Rap2l/RAP2A is physically interacting or in a complex with other relevant ACD modulators."

      (8) Reduced stemness markers (CD133/SOX2/NESTIN) and proliferation (Ki-67) align with increased ACD. However, alternative explanations (e.g., differentiation or apoptosis) must be ruled out via GFAP/Tuj1 staining or Annexin V assays.

      We agree with these possibilities.  Regarding differentiation, the potential presence of increased differentiation markers would be in fact a logic consequence of an increase in ACD divisions/reduced stemness markers. Unfortunately, we cannot approach those experiments in the lab currently.

      (9) The link between low RAP2A and poor prognosis should be validated in multivariate analyses to exclude confounding factors (e.g., age, treatment history).

      We have now added this information in the "Results section" (page 5, lines 114-123).

      (10) The broader ACD regulatory network in GBM (e.g., roles of other homologs like NUMB) and potential synergies/independence from known suppressors (e.g., TRIM3) warrant exploration.

      The present study was designed as a "proof-of-concept" study to start analyzing the hypothesis that the expression levels of human homologs of known Drosophila ACD regulators might be relevant in human cancers that contain cancer stem cells, if those human homologs were also involved in modulating the mode of (cancer) stem cell division. 

      To extend the findings of this work to the whole ACD regulatory network would be the logic and ideal path to follow in the future.

      We already mentioned this point in the Discussion:

      "....it would be interesting to analyze in the future the potential consequences that altered levels of expression of the other human homologs in the array can have in the behavior of the GSCs. In silico analyses, taking advantage of the existence of established datasets, such as the TCGA, can help to more robustly assess, in a bigger sample size, the relevance of those human genes expression levels in GBM progression, as we observed for the gene RAP2A."

      (11) The figures should be improved. Statistical significance markers (e.g., p-values) should be added to Figure 1A; timepoints/culture conditions should be clarified for Figure 6A.

      Regarding the statistical significance markers, we have now included a Supplementary Figure (Fig. S1) with the statistical parameters used. Additionally, we have performed a hierarchical clustering of genes showing significant or notsignificant changes in their expression levels. 

      Regarding the experimental conditions corresponding to Figure 6A, those have now been added in more detail in "Materials and Methods" ("Pair assay and Numb segregation analysis" paragraph).

      (12) Redundant Drosophila background in the Discussion should be condensed; terminology should be unified (e.g., "neurosphere" vs. "cell cluster").

      As we did not mention much about Drosophila ACD and NBs in the "Introduction", we needed to explain in the "Discussion" at least some very basic concepts and information about this, especially for "non-drosophilists". We have reviewed the Discussion to maintain this information to the minimum necessary.

      We have also reviewed the terminology that the Reviewer mentions and have unified it.

      Reviewer #1 (Recommendations for the authors):

      To improve the manuscript's impact and quality, I would recommend:

      (1) Expand Cell Line Validation: Include additional GBM cell lines, particularly primary patient-derived 3D cultures, to increase the robustness of the findings.

      (2) Mechanistic Exploration: Further examine the conservation of the Rap2lCno/aPKC pathway in human cells using rescue experiments or protein interaction assays.

      (3) Direct Evidence of ACD: Implement live imaging or lineage tracing approaches to strengthen conclusions on ACD frequency.

      (4) RNAi Specificity Validation: Clarify Rap2l RNAi specificity and its expression in neuroblasts or intermediate neural progenitors.

      (5) Quantitative Analysis: Improve quantification of neurosphere size, Ki-67 expression, and apoptosis to normalize findings.

      (6) Figure Clarifications: Address inconsistencies in Figures 6A and 6B and refine statistical markers in Figure 1A.

      (7) Alternative In Vivo Model: Consider leveraging a Drosophila glioblastoma model as a complementary in vivo validation approach.

      Addressing these points will significantly enhance the manuscript's translational relevance and overall contribution to the field.

      We have been able to address points 4, 5 and 6. Others are either out of the scope of this work (2) or we do not have the possibility to carry them out at this moment in the lab (1, 3 and 7). However, we will complete these requests/recommendations in other future investigations.

      Reviewer #2 (Recommendations for the authors):

      Major Revision /insufficient required to address methodological and mechanistic gaps.

      (1) Enhance Clinical Relevance

      Validate RAP2A's prognostic significance across multiple GBM subtypes (e.g., MES, DNA-methylation subtypes) using datasets like TCGA and Gravendeel to confirm specificity.

      Perform multivariate survival analyses to rule out confounding factors (e.g., patient age, treatment history).

      (2) Strengthen Mechanistic Insights

      Investigate whether the Rap2l-Cno/aPKC pathway is conserved in human GBM through rescue experiments (e.g., RAP2A overexpression with Cno/aPKC knockdown) or interaction assays (e.g., Co-IP).

      Use live-cell imaging or lineage tracing to directly validate ACD frequency instead of relying on indirect metrics (odd/even cell clusters, NUMB asymmetry).

      (3) Improve Model Systems & Experimental Design

      Justify the selection of GB5 cells and include additional GBM cell lines, particularly 3D primary patient-derived cell models, to enhance generalizability.

      It is essential to perform xenograft or orthotopic patient-derived models to support translational relevance.

      (5) Address Alternative Interpretations

      Rule out other potential effects of RAP2A knockdown (e.g., differentiation or apoptosis) using GFAP/Tuj1 staining or Annexin V assays.

      Explore the broader ACD regulatory network in GBM, including interactions with NUMB and TRIM3, to contextualize findings within known tumor-suppressive pathways.

      (6) Improve Figures & Clarity

      Add statistical significance markers (e.g., p-values) in Figure 1A and clarify timepoints/culture conditions for Figure 6A.

      Condense redundant Drosophila background in the discussion and ensure consistent terminology (e.g., "neurosphere" vs. "cell cluster").

      We have been able to address points 1, partially 3 and 6. Others are either out of the scope of this work or we do not have the possibility to carry them out at this moment in the lab. However, we are very interested in completing these requests/recommendations and we will approach that type of experiments in other future investigations.

    1. So, what can we do? Mayo believes that true change starts with the school faculty.LGBTQ+ students are more than capable of creating events, clubs, and student-led organizations.But without the proper guidance and support from their teachers, all their efforts will ultimatelysuccumb to “Don’t Say Gay” bills, gripes and interventions from heteronormative parents, andRepublican-led state mandates

      Yes I agree with this statement, student activities always need to be approved by school staffs and if school staffs are gonna allow students to raise activities that is related to LGBTQ+ community. As a result, there would be much more opportunities for minor groups to express their needs and help LGBTQ+ people to find a group to work together for equality and also as a group to protect them.

    1. threats are defined more by the fault lines within societies than by the territorial boundaries between them.

      Important concept: Modern threats are transnational, not just state-based.

    2. Between fiscal year 2001, the last budget adopted before 9/11, and the present fiscal year 2004, total federal spending on defense (including expenditures on both Iraq and Afghanistan), homeland security, and international affairs rose more than 50 percent, from $354 billion to about $547 billion.

      Detail: Huge increase in spending for defense and homeland security. Compare to Korean War spending.

    3. Countering terrorism has become, beyond any doubt, the top national security priority for the United States.

      Key idea: Terrorism is now the main concern for U.S. security. Shows shift in priorities after 9/11.

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content: ''; display: table; } .ql-bubble .ql-stroke { fill: none; stroke: #ccc; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2; } .ql-bubble .ql-stroke-miter { fill: none; stroke: #ccc; stroke-miterlimit: 10; stroke-width: 2; } .ql-bubble .ql-fill, .ql-bubble .ql-stroke.ql-fill { fill: #ccc; } .ql-bubble .ql-empty { fill: none; } .ql-bubble .ql-even { fill-rule: evenodd; } .ql-bubble .ql-thin, .ql-bubble .ql-stroke.ql-thin { stroke-width: 1; } .ql-bubble .ql-transparent { opacity: 0.4; } .ql-bubble .ql-direction svg:last-child { display: none; } .ql-bubble .ql-direction.ql-active svg:last-child { display: inline; } .ql-bubble .ql-direction.ql-active svg:first-child { display: none; } .ql-bubble .ql-editor h1 { font-size: 2em; } .ql-bubble .ql-editor h2 { font-size: 1.5em; } .ql-bubble .ql-editor h3 { font-size: 1.17em; } .ql-bubble .ql-editor h4 { font-size: 1em; } .ql-bubble .ql-editor h5 { font-size: 0.83em; } .ql-bubble .ql-editor h6 { font-size: 0.67em; } .ql-bubble .ql-editor a { text-decoration: underline; } .ql-bubble .ql-editor blockquote { border-left: 4px solid #ccc; margin-bottom: 5px; margin-top: 5px; padding-left: 16px; } .ql-bubble .ql-editor code, .ql-bubble .ql-editor pre { background-color: #f0f0f0; border-radius: 3px; } .ql-bubble .ql-editor pre { white-space: pre-wrap; margin-bottom: 5px; margin-top: 5px; padding: 5px 10px; } .ql-bubble .ql-editor code { font-size: 85%; padding: 2px 4px; } .ql-bubble .ql-editor pre.ql-syntax { background-color: #23241f; color: #f8f8f2; overflow: visible; } .ql-bubble .ql-editor img { max-width: 100%; } .ql-bubble .ql-picker { color: #ccc; display: inline-block; float: left; font-size: 14px; font-weight: 500; height: 24px; position: relative; vertical-align: middle; } .ql-bubble .ql-picker-label { cursor: pointer; display: inline-block; height: 100%; padding-left: 8px; padding-right: 2px; position: relative; width: 100%; } .ql-bubble .ql-picker-label::before { display: inline-block; line-height: 22px; } .ql-bubble .ql-picker-options { background-color: #444; display: none; min-width: 100%; padding: 4px 8px; position: absolute; white-space: nowrap; } .ql-bubble .ql-picker-options .ql-picker-item { cursor: pointer; display: block; padding-bottom: 5px; padding-top: 5px; } .ql-bubble .ql-picker.ql-expanded .ql-picker-label { color: #777; z-index: 2; } .ql-bubble .ql-picker.ql-expanded .ql-picker-label .ql-fill { fill: #777; } .ql-bubble .ql-picker.ql-expanded .ql-picker-label .ql-stroke { stroke: #777; } .ql-bubble .ql-picker.ql-expanded .ql-picker-options { display: block; margin-top: -1px; top: 100%; z-index: 1; } .ql-bubble .ql-color-picker, .ql-bubble .ql-icon-picker { width: 28px; } .ql-bubble .ql-color-picker .ql-picker-label, .ql-bubble .ql-icon-picker .ql-picker-label { padding: 2px 4px; } .ql-bubble .ql-color-picker .ql-picker-label svg, .ql-bubble .ql-icon-picker .ql-picker-label svg { right: 4px; } .ql-bubble .ql-icon-picker .ql-picker-options { padding: 4px 0px; } .ql-bubble .ql-icon-picker .ql-picker-item { height: 24px; width: 24px; padding: 2px 4px; } .ql-bubble .ql-color-picker .ql-picker-options { padding: 3px 5px; width: 152px; } .ql-bubble .ql-color-picker .ql-picker-item { border: 1px solid transparent; float: left; height: 16px; margin: 2px; padding: 0px; width: 16px; } .ql-bubble .ql-picker:not(.ql-color-picker):not(.ql-icon-picker) svg { position: absolute; margin-top: -9px; right: 0; top: 50%; width: 18px; } .ql-bubble .ql-picker.ql-header .ql-picker-label[data-label]:not([data-label=''])::before, .ql-bubble .ql-picker.ql-font .ql-picker-label[data-label]:not([data-label=''])::before, .ql-bubble .ql-picker.ql-size .ql-picker-label[data-label]:not([data-label=''])::before, .ql-bubble .ql-picker.ql-header .ql-picker-item[data-label]:not([data-label=''])::before, .ql-bubble .ql-picker.ql-font .ql-picker-item[data-label]:not([data-label=''])::before, .ql-bubble .ql-picker.ql-size .ql-picker-item[data-label]:not([data-label=''])::before { content: attr(data-label); } .ql-bubble .ql-picker.ql-header { width: 98px; } .ql-bubble .ql-picker.ql-header .ql-picker-label::before, .ql-bubble .ql-picker.ql-header .ql-picker-item::before { content: 'Normal'; } .ql-bubble .ql-picker.ql-header .ql-picker-label[data-value="1"]::before, .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="1"]::before { content: 'Heading 1'; } .ql-bubble .ql-picker.ql-header .ql-picker-label[data-value="2"]::before, .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="2"]::before { content: 'Heading 2'; } .ql-bubble .ql-picker.ql-header .ql-picker-label[data-value="3"]::before, .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="3"]::before { content: 'Heading 3'; } .ql-bubble .ql-picker.ql-header .ql-picker-label[data-value="4"]::before, .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="4"]::before { content: 'Heading 4'; } .ql-bubble .ql-picker.ql-header .ql-picker-label[data-value="5"]::before, .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="5"]::before { content: 'Heading 5'; } .ql-bubble .ql-picker.ql-header .ql-picker-label[data-value="6"]::before, .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="6"]::before { content: 'Heading 6'; } .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="1"]::before { font-size: 2em; } .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="2"]::before { font-size: 1.5em; } .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="3"]::before { font-size: 1.17em; } .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="4"]::before { font-size: 1em; } .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="5"]::before { font-size: 0.83em; } .ql-bubble .ql-picker.ql-header .ql-picker-item[data-value="6"]::before { font-size: 0.67em; } .ql-bubble .ql-picker.ql-font { width: 108px; } .ql-bubble .ql-picker.ql-font .ql-picker-label::before, .ql-bubble .ql-picker.ql-font .ql-picker-item::before { content: 'Sans Serif'; } .ql-bubble .ql-picker.ql-font .ql-picker-label[data-value=serif]::before, .ql-bubble .ql-picker.ql-font .ql-picker-item[data-value=serif]::before { content: 'Serif'; } .ql-bubble .ql-picker.ql-font .ql-picker-label[data-value=monospace]::before, .ql-bubble .ql-picker.ql-font .ql-picker-item[data-value=monospace]::before { content: 'Monospace'; } .ql-bubble .ql-picker.ql-font .ql-picker-item[data-value=serif]::before { font-family: Georgia, Times New Roman, serif; } .ql-bubble .ql-picker.ql-font .ql-picker-item[data-value=monospace]::before { font-family: Monaco, Courier New, monospace; } .ql-bubble .ql-picker.ql-size { width: 98px; } .ql-bubble .ql-picker.ql-size .ql-picker-label::before, .ql-bubble .ql-picker.ql-size .ql-picker-item::before { content: 'Normal'; } .ql-bubble .ql-picker.ql-size .ql-picker-label[data-value=small]::before, .ql-bubble .ql-picker.ql-size .ql-picker-item[data-value=small]::before { content: 'Small'; } .ql-bubble .ql-picker.ql-size .ql-picker-label[data-value=large]::before, .ql-bubble .ql-picker.ql-size .ql-picker-item[data-value=large]::before { content: 'Large'; } .ql-bubble .ql-picker.ql-size .ql-picker-label[data-value=huge]::before, .ql-bubble .ql-picker.ql-size .ql-picker-item[data-value=huge]::before { content: 'Huge'; } .ql-bubble .ql-picker.ql-size .ql-picker-item[data-value=small]::before { font-size: 10px; } .ql-bubble .ql-picker.ql-size .ql-picker-item[data-value=large]::before { font-size: 18px; } .ql-bubble .ql-picker.ql-size .ql-picker-item[data-value=huge]::before { font-size: 32px; } .ql-bubble .ql-color-picker.ql-background .ql-picker-item { background-color: #fff; } .ql-bubble .ql-color-picker.ql-color .ql-picker-item { background-color: #000; } .ql-bubble .ql-color-picker svg { margin: 1px; } .ql-bubble .ql-color-picker .ql-picker-item.ql-selected, .ql-bubble .ql-color-picker .ql-picker-item:hover { border-color: #fff; } .ql-bubble .ql-tooltip { background-color: #444; border-radius: 25px; color: #fff; } .ql-bubble .ql-tooltip-arrow { border-left: 6px solid transparent; border-right: 6px solid transparent; content: " "; display: block; left: 50%; margin-left: -6px; position: absolute; } .ql-bubble .ql-tooltip:not(.ql-flip) .ql-tooltip-arrow { border-bottom: 6px solid #444; top: -6px; } .ql-bubble .ql-tooltip.ql-flip .ql-tooltip-arrow { border-top: 6px solid #444; bottom: -6px; } .ql-bubble .ql-tooltip.ql-editing .ql-tooltip-editor { display: block; } .ql-bubble .ql-tooltip.ql-editing .ql-formats { visibility: hidden; } .ql-bubble .ql-tooltip-editor { display: none; } .ql-bubble .ql-tooltip-editor input[type=text] { background: transparent; border: none; color: #fff; font-size: 13px; height: 100%; outline: none; padding: 10px 20px; position: absolute; width: 100%; } .ql-bubble .ql-tooltip-editor a { top: 10px; position: absolute; right: 20px; } .ql-bubble .ql-tooltip-editor a:before { color: #ccc; content: "D7"; font-size: 16px; font-weight: bold; } .ql-container.ql-bubble:not(.ql-disabled) a { position: relative; white-space: nowrap; } .ql-container.ql-bubble:not(.ql-disabled) a::before { background-color: #444; border-radius: 15px; top: -5px; font-size: 12px; color: #fff; content: attr(href); font-weight: normal; overflow: hidden; padding: 5px 15px; text-decoration: none; z-index: 1; } .ql-container.ql-bubble:not(.ql-disabled) a::after { border-top: 6px solid #444; border-left: 6px solid transparent; border-right: 6px solid transparent; top: 0; content: " "; height: 0; width: 0; } .ql-container.ql-bubble:not(.ql-disabled) a::before, .ql-container.ql-bubble:not(.ql-disabled) a::after { left: 0; margin-left: 50%; position: absolute; transform: translate(-50%, -100%); transition: visibility 0s ease 200ms; visibility: hidden; } .ql-container.ql-bubble:not(.ql-disabled) a:hover::before, .ql-container.ql-bubble:not(.ql-disabled) a:hover::after { visibility: visible; } "A Mother's Healing Touch" is a heartfelt exploration of the profound bond between a mother and her child, offering insights and guidance for nurturing emotional well-being and resilience. Drawing on the wisdom of ancient traditions and modern psychology, this book celebrates the transformative power of a mother's love and compassion in healing wounds, soothing fears, and fostering growth.Through personal anecdotes, practical tips, and mindfulness exercises, "A Mother's Healing Touch" offers support to mothers navigating the challenges of raising children in today's world. From soothing a crying infant to supporting a teenager through turbulent times, discover how to cultivate presence, empathy, and connection to strengthen your relationship with your child and promote their emotional resilience.Explore the healing potential of nurturing touch, empathetic listening, and unconditional acceptance as you embark on a journey of self-discovery and growth alongside your child. Whether you're facing moments of joy or adversity, this book serves as a guiding light, reminding mothers of the transformative power they hold to nurture, heal, and inspire their children through the gentle touch of love."

      A mother's healing touch