Reviewer #2 (Public Review):

Summary:

This theoretical paper examines genetic drift in scenarios deviating from the standard Wright-Fisher model. The authors discuss Haldane's branching process model, highlighting that the variance in reproductive success equates to genetic drift. By integrating the Wright-Fisher model with the Haldane model, the authors derive theoretical results that resolve paradoxes related to effective population size.

Strengths:

The most significant and compelling result from this paper is perhaps that the probability of fixing a new beneficial mutation is 2s/V(K). This is an intriguing and potentially generalizable discovery that could be applied to many different study systems.

The authors also made a lot of effort to connect theory with various real-world examples, such as genetic diversity in sex chromosomes and reproductive variance across different species.

Weaknesses:

One way to define effective population size is by the inverse of the coalescent rate. This is where the geometric mean of Ne comes from. If Ne is defined this way, many of the paradoxes mentioned seem to resolve naturally. If we take this approach, one could easily show that a large N population can still have a low coalescent rate depending on the reproduction model. However, the authors did not discuss Ne in light of the coalescent theory. This is surprising given that Eldon and Wakeley's 2006 paper is cited in the introduction, and the multiple mergers coalescent was introduced to explain the discrepancy between census size and effective population size, superspreaders, and reproduction variance - that said, there is no explicit discussion or introduction of the multiple mergers coalescent.

The Wright-Fisher model is often treated as a special case of the Cannings 1974 model, which incorporates the variance in reproductive success. This model should be discussed. It is unclear to me whether the results here have to be explained by the newly introduced WFH model, or could have been explained by the existing Cannings model.

The abstract makes it difficult to discern the main focus of the paper. It spends most of the space introducing "paradoxes".

The standard Wright-Fisher model makes several assumptions, including hermaphroditism, non-overlapping generations, random mating, and no selection. It will be more helpful to clarify which assumptions are being violated in each tested scenario, as V(K) is often not the only assumption being violated. For example, the logistic growth model assumes no cell death at the exponential growth phase, so it also violates the assumption about non-overlapping generations.

The theory and data regarding sex chromosomes do not align. The fact that \hat{alpha'} can be negative does not make sense. The authors claim that a negative \hat{alpha'} is equivalent to infinity, but why is that? It is also unclear how theta is defined. It seems to me that one should take the first principle approach e.g., define theta as pairwise genetic diversity, and start with deriving the expected pair-wise coalescence time under the MMC model, rather than starting with assuming theta = 4Neu. Overall, the theory in this section is not well supported by the data, and the explanation is insufficient.

Reviewer #3 (Public Review):

Summary:

Ruan and colleagues consider a branching process model (in their terminology the "Haldane model") and the most basic Wright-Fisher model. They convincingly show that offspring distributions are usually non-Poissonian (as opposed to what's assumed in the Wright-Fisher model), and can depend on short-term ecological dynamics (e.g., variance in offspring number may be smaller during exponential growth). The authors discuss branching processes and the Wright-Fisher model in the context of 3 "paradoxes": (1) how Ne depends on N might depend on population dynamics; (2) how Ne is different on the X chromosome, the Y chromosome, and the autosomes, and these differences do match the expectations base on simple counts of the number of chromosomes in the populations; (3) how genetic drift interacts with selection. The authors provide some theoretical explanations for the role of variance in the offspring distribution in each of these three paradoxes. They also perform some experiments to directly measure the variance in offspring number, as well as perform some analyses of published data.

Strengths:

(1) The theoretical results are well-described and easy to follow.

(2) The analyses of different variances in offspring number (both experimentally and analyzing public data) are convincing that non-Poissonian offspring distributions are the norm.

(3) The point that this variance can change as the population size (or population dynamics) change is also very interesting and important to keep in mind.

(4) I enjoyed the Density-Dependent Haldane model. It was a nice example of the decoupling of census size and effective size.

Weaknesses:

(1) I am not convinced that these types of effects cannot just be absorbed into some time-varying Ne and still be well-modeled by the Wright-Fisher process.

(2) Along these lines, there is well-established literature showing that a broad class of processes (a large subset of Cannings' Exchangeable Models) converge to the Wright-Fisher diffusion, even those with non-Poissonian offspring distributions (e.g., Mohle and Sagitov 2001). E.g., equation (4) in Mohle and Sagitov 2001 shows that in such cases the "coalescent Ne" should be (N-1) / Var(K), essentially matching equation (3) in the present paper.

(3) Beyond this, I would imagine that branching processes with heavy-tailed offspring distributions could result in deviations that are not well captured by the authors' WFH model. In this case, the processes are known to converge (backward-in-time) to Lambda or Xi coalescents (e.g., Eldon and Wakely 2006 or again in Mohle and Sagitov 2001 and subsequent papers), which have well-defined forward-in-time processes.

(4) These results that Ne in the Wright-Fisher process might not be related to N in any straightforward (or even one-to-one) way are well-known (e.g., Neher and Hallatschek 2012; Spence, Kamm, and Song 2016; Matuszewski, Hildebrandt, Achaz, and Jensen 2018; Rice, Novembre, and Desai 2018; the work of Lounès Chikhi on how Ne can be affected by population structure; etc...)

(5) I was also missing some discussion of the relationship between the branching process and the Wright-Fisher model (or more generally Cannings' Exchangeable Models) when conditioning on the total population size. In particular, if the offspring distribution is Poisson, then conditioned on the total population size, the branching process is identical to the Wright-Fisher model.

(6) In the discussion, it is claimed that the last glacial maximum could have caused the bottleneck observed in human populations currently residing outside of Africa. Compelling evidence has been amassed that this bottleneck is due to serial founder events associated with the out-of-Africa migration (see e.g., Henn, Cavalli-Sforza, and Feldman 2012 for an older review - subsequent work has only strengthened this view). For me, a more compelling example of changes in carrying capacity would be the advent of agriculture ~11kya and other more recent technological advances.

Smith Corona Typewriter Ribbon Vibrator Bind, Lift Sticking Up, Forming/Adjusting Process by [[Phoenix Typewriter]]

Smaller engines do the baseband energy while the biggest engine is designed for reacting quickly to needs.

Idle engine (maintenance). Some measures are following the outside temperature trend, particularly heatwaves are visible. However, some other curves seems to be stable and regulated. It could be that the cooling system is shared among the engines. More specific, it could be that the water flow is the same for all machines. It would be interesting to observe, whether the operation of other engines affects temperature variation in this plot.

u/Affectionate-Dog8414 has started a small repair shop in their garage. Denver, CO

• Overview of Research History and Commercial Development:

  • The research group's work extends over 60 years, difficult to condense into a short talk.
  • "Processes of commercial product development" are well-known, but research's purpose is less understood.

• Importance of Research and Key Innovations:

  • Research is vital for foundational innovations; examples include text on screens, interactive text, pointing devices, copy-paste functions, menus, and scroll bars.
  • Early pioneers like Ivan Sutherland and Doug Engelbart in the 60s, and Xerox PARC's Smalltalk in the 70s, introduced groundbreaking concepts in computing.

• Challenges in Research and Development:

  • High costs and limited computing power in early decades delayed commercialization of research.
  • Innovations often took decades to reach commercial viability due to Moore's Law and decreasing hardware costs.

• Examples of Fundamental Research Leading to Industry Transformation:

  • Machine learning, neural networks, and the Internet's development were rooted in research labs.
  • "Neural networks were invented in the 40s by neuroscientists" and later led to modern AI advancements.

• Impact and Future of Research Funding:

  • Public funding in the 60s enabled long-term ambitious projects; today, such projects lack sufficient funding.
  • The absence of funding today could hinder future innovation and technological progress.

• Concept of Bootstrapping Research Environments:

  • Bootstrapping research focuses on creating innovative environments to enhance research effectiveness.
  • Doug Engelbart’s lab aimed to invent tools to improve the lab's own productivity, leading to user interface innovations.

• Research Methods and Dynamic Land:

  • The research group Dynamicland uses space to show context and enable spatial manipulation of ideas.
  • Their work includes creating expansive spatial interfaces beyond traditional screens, using posters and physical objects for programming and interaction.

• Examples of Dynamicland’s Projects:

  • Real Talk: a system where physical objects are programmed and manipulated by hand, fostering visible and tangible computing environments.
  • Dynamicland as a community space where diverse residents collaboratively create and innovate in a shared environment.

• Vision for the Future of Computing:

  • Advocates for computing as ubiquitous infrastructure, accessible and modifiable by everyone, akin to reading and writing.
  • Emphasizes creating environments where people can work together interactively and understand complex systems holistically.

• Final Thoughts:

  • The ultimate goal is for humanity to leverage computation to understand and solve complex problems, with a vision for a future where computing is an integral and accessible part of everyday life for all.

Relevant quotes: - "Processes of commercial product development" are well-known. - "Neural networks were invented in the 40s by neuroscientists." - "Public funding in the 60s enabled long-term ambitious projects." - "Dynamicland uses space to show context and enable spatial manipulation of ideas." - "The ultimate goal is for humanity to leverage computation to understand and solve complex problems."

for - search - google - high resolution addressing of disaggregated text corpus mapped to graph - search results of interest - high resolution addressing of disaggregated text corpus mapped to graph

search - google - high resolution addressing of disaggregated text corpus mapped to graph - https://www.google.com/search?q=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&oq=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigAdIBCTMzNjEzajBqN6gCALACAA&sourceid=chrome&ie=UTF-8

to - search results of interest - high resolution addressing of disaggregated text corpus mapped to graph - A New Method for Graph-Based Representation of Text in - The use of a new text representation method to predict book categories based on the analysis of its content resulted in accuracy, precision, recall and an F1- ... - https://hyp.is/H9UAbk46Ee-PT_vokcnTqA/www.mdpi.com/2076-3417/10/12/4081 - Encoding Text Information with Graph Convolutional Networks - According to our understanding, this is the first personality recognition study to model the entire user text information corpus as a heterogeneous graph and ... - https://hyp.is/H9UAbk46Ee-PT_vokcnTqA/www.mdpi.com/2076-3417/10/12/4081

for - from - search - google - high resolution addressing of disaggregated text corpus mapped to graph

from - search - google - high resolution addressing of disaggregated text corpus mapped to graph - https://hyp.is/ch_J9k43Ee-lGzfOapoCvQ/www.google.com/search?q=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&oq=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigAdIBCTMzNjEzajBqN6gCALACAA&sourceid=chrome&ie=UTF-8

is this correct? it can be derived from the two wind components?

for - further research - common cliques in graphs - question - relevance to disaggregating text corpus into sub-sentence graph nodes?

for - from - search - google - high resolution addressing of disaggregated text corpus mapped to graph

from - search - google - high resolution addressing of disaggregated text corpus mapped to graph - https://hyp.is/ch_J9k43Ee-lGzfOapoCvQ/www.google.com/search?q=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&oq=high+resolution+addressing+of+disaggregated+text+corpus+mapped+to+graph&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigAdIBCTMzNjEzajBqN6gCALACAA&sourceid=chrome&ie=UTF-8

Shared experience by author

The New education: redesigning higher education

Related to Higher Education

Transparent Peer Review

Download the complete Review Process [PDF] including:

• reviews
• authors' reply
• editorial decisions

</br>

Transparent Peer Review

Download the complete Review Process [PDF] including:

• reviews
• authors' reply
• editorial decisions

</br>

I didn't know this was a myth, I've seen so many of these where celebs would take, or where it would be used in an investigation. But I understand why it would be a myth since I would also consider myself one of those people who would fall anxious when answering questions. https://tenor.com/view/the-simpsons-lie-detector-yes-x-files-mulder-and-scully-gif-20366565

He misses the point of wisdom. Wisdom is about mindset and uplifting each other, to care and empathize... It's not about objective correctness; truth or false, this is science... Nor is it about the correctness of living life, that is ethics and morality...

Wisdom is thus about mindset and empathy.

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When someone wants to tell you how they are feeling they will tell you with their face. There are many emotions you can tell people by the way your face looks. This is called facial expression. So when your face looks angry it will tell other people who see it that you are angry.

DOI: 10.1016/j.celrep.2021.108892

Resource: RRID:Addgene_12259

Curator: @Naa003

SciCrunch record: RRID:Addgene_12259

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DOI: 10.1016/j.celrep.2021.108875

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Curator: @Naa003

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DOI: 10.1038/s41419-024-06923-z

Resource: (IZSLER Cat# BS CL 129, RRID:CVCL_0045)

Curator: @evieth

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DOI: 10.1038/s41419-024-06923-z

Resource: (BCRJ Cat# 0125, RRID:CVCL_0367)

Curator: @evieth

SciCrunch record: RRID:CVCL_0367

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DOI: 10.1038/s41419-024-06923-z

Resource: (DSMZ Cat# ACC-625, RRID:CVCL_1966)

Curator: @evieth

SciCrunch record: RRID:CVCL_1966

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DOI: 10.1038/s41419-024-06923-z

Resource: (DSMZ Cat# ACC-83, RRID:CVCL_0244)

Curator: @evieth

SciCrunch record: RRID:CVCL_0244

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DOI: 10.1038/s41419-024-06923-z

Resource: (RRID:CVCL_8277)

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DOI: 10.3390/toxics12020102

Resource: Bloomington Drosophila Stock Center (RRID:SCR_006457)

Curator: @anisehay

SciCrunch record: RRID:SCR_006457

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DOI: 10.1016/j.celrep.2024.114538

Resource: (BCRC Cat# 60005, RRID:CVCL_0030)

Curator: @vtello

SciCrunch record: RRID:CVCL_0030

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Rockland Cat# 18-8816-33, RRID:AB_2610848)

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Rockland Cat# 18-8817-30, RRID:AB_2610849)

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DOI: 10.1016/j.celrep.2024.114538

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Yeasen Biotech Cat# 33201ES60, RRID:AB_10015289)

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Molecular Probes Cat# A-31571, RRID:AB_162542)

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DOI: 10.1016/j.celrep.2024.114538

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Thermo Fisher Scientific Cat# A-11001, RRID:AB_2534069)

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Santa Cruz Biotechnology Cat# sc-73614, RRID:AB_1131294)

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DOI: 10.1016/j.celrep.2024.114538

Resource: (ABclonal Cat# A19686, RRID:AB_2862735)

Curator: @scibot

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Sigma-Aldrich Cat# T5168, RRID:AB_477579)

Curator: @scibot

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Santa Cruz Biotechnology Cat# sc-32315, RRID:AB_627741)

Curator: @scibot

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Abcam Cat# ab2175, RRID:AB_302873)

Curator: @scibot

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Abcam Cat# ab18197, RRID:AB_444313)

Curator: @scibot

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Abcam Cat# ab50279, RRID:AB_881762)

Curator: @scibot

SciCrunch record: RRID:AB_881762

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DOI: 10.1016/j.celrep.2024.114538

Resource: (ABclonal Cat# A11432, RRID:AB_2861565)

Curator: @scibot

SciCrunch record: RRID:AB_2861565

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DOI: 10.1016/j.celrep.2024.114538

Resource: AB_10980693

Curator: @scibot

SciCrunch record: RRID:AB_10980693

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Thermo Fisher Scientific Cat# MA5-12933, RRID:AB_10983840)

Curator: @scibot

SciCrunch record: RRID:AB_10983840

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DOI: 10.1016/j.celrep.2024.114538

Resource: AB_2861526

Curator: @scibot

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Thermo Fisher Scientific Cat# MA5-13110, RRID:AB_10976973)

Curator: @scibot

SciCrunch record: RRID:AB_10976973

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Abcam Cat# ab10483, RRID:AB_297222)

Curator: @scibot

SciCrunch record: RRID:AB_297222

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Cell Signaling Technology Cat# 2577, RRID:AB_2118010)

Curator: @scibot

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Thermo Fisher Scientific Cat# AM4300, RRID:AB_2536381)

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DOI: 10.1016/j.celrep.2024.114538

Resource: AB_2666679

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DOI: 10.1016/j.celrep.2024.114538

Resource: AB_10987499

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DOI: 10.1016/j.celrep.2024.114538

Resource: (Abcam Cat# ab18192, RRID:AB_869495)

Curator: @scibot

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DOI: 10.1016/j.celrep.2024.114538

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DOI: 10.1016/j.ccell.2024.06.012

Resource: CVCL_2186

Curator: @vtello

SciCrunch record: RRID:CVCL_2186

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Resource: (ATCC Cat# CRL-2700, RRID:CVCL_G654)

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DOI: 10.1016/j.celrep.2024.114559

Resource: ZFIN_ZDB-GENO-150721-5

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DOI: 10.1016/j.celrep.2024.114559

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DOI: 10.1016/j.celrep.2024.114559

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Resource: ZFIN_ZDB-GENO-141030-2

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SciCrunch record: RRID:ZFIN_ZDB-GENO-141030-2

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Resource: (Santa Cruz Biotechnology Cat# sc-31984, RRID:AB_2167511)

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SciCrunch record: RRID:AB_2167511

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DOI: 10.1016/j.immuni.2024.07.002

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SciCrunch record: RRID:CVCL_1511

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DOI: 10.1101/2024.07.21.604463

Resource: (ATCC Cat# CRL-4001, RRID:CVCL_6573)

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DOI: 10.1101/2024.07.22.604482

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DOI: 10.1101/2024.07.22.604482

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DOI: 10.1101/2024.07.22.604482

Resource: (Cell Signaling Technology Cat# 3879, RRID:AB_2255011)

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SciCrunch record: RRID:AB_2255011

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DOI: 10.1101/2024.07.22.604482

Resource: (BCRC Cat# 60250, RRID:CVCL_0553)

Curator: @dhovakimyan1

SciCrunch record: RRID:CVCL_0553

What is this?

DOI: 10.1101/2024.07.22.604482

Resource: (ECACC Cat# 86082104, RRID:CVCL_0332)

Curator: @dhovakimyan1

SciCrunch record: RRID:CVCL_0332

What is this?

DOI: 10.1101/2024.07.22.604482

Resource: (ATCC Cat# CRM-HTB-26, RRID:CVCL_0062)

Curator: @dhovakimyan1

SciCrunch record: RRID:CVCL_0062

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DOI: 10.1139/cjm-2024-0014

Resource: SCR_003070

Curator: @dhovakimyan1

SciCrunch record: RRID: SCR_003070

What is this?

DOI: 10.1101/2024.07.24.604995

Resource: pClamp (RRID:SCR_011323)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_011323

What is this?

DOI: 10.1101/2024.07.19.604274

Resource: (IMSR Cat# JAX_000664,RRID:IMSR_JAX:000664)

Curator: @dhovakimyan1

SciCrunch record: RRID:IMSR_JAX:000664

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DOI: 10.1128/msphere.00254-24

Resource: (KCB Cat# KCB 2010167, RRID:CVCL_0358)

Curator: @dhovakimyan1

SciCrunch record: RRID:CVCL_0358

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DOI: 10.1101/2024.07.24.604946

Resource: (IMSR Cat# JAX_002810,RRID:IMSR_JAX:002810)

Curator: @dhovakimyan1

SciCrunch record: RRID:IMSR_JAX:002810

What is this?

DOI: 10.1101/2024.07.24.604946

Resource: (IMSR Cat# JAX_017320,RRID:IMSR_JAX:017320)

Curator: @dhovakimyan1

SciCrunch record: RRID:IMSR_JAX:017320

What is this?

DOI: 10.1101/2024.07.24.604946

Resource: (IMSR Cat# JAX_005628,RRID:IMSR_JAX:005628)

Curator: @dhovakimyan1

SciCrunch record: RRID:IMSR_JAX:005628

What is this?

DOI: 10.1101/2024.07.25.605169

Resource: Addgene_86244

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_86244

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: RRID:Addgene_91794

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_91794

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: RRID:Addgene_91792

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_91792

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: Addgene_116374

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_116374

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: RRID:Addgene_12259

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_12259

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: RRID:Addgene_12260

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_12260

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: RRID:Addgene_1864

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_1864

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: RRID:Addgene_90007

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_90007

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: RRID:Addgene_90005

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_90005

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: Addgene_90006

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_90006

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: RRID:Addgene_31355

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_31355

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: RRID:Addgene_31354

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_31354

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: Addgene_31353

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_31353

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: Addgene_32886

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_32886

What is this?

DOI: 10.1101/2024.07.25.605008

Resource: Addgene_31352

Curator: @dhovakimyan1

SciCrunch record: RRID:Addgene_31352

What is this?

DOI: 10.1186/s13048-024-01479-0

Resource: (ATCC Cat# HTB-161, RRID:CVCL_0465)

Curator: @dhovakimyan1

SciCrunch record: RRID:CVCL_0465

What is this?

DOI: 10.3390/antiox13070855

Resource: (Cell Signaling Technology Cat# 7074, RRID:AB_2099233)

Curator: @scibot

SciCrunch record: RRID:AB_2099233

What is this?

DOI: 10.3390/antiox13070855

Resource: (Cell Signaling Technology Cat# 7076, RRID:AB_330924)

Curator: @scibot

SciCrunch record: RRID:AB_330924

What is this?

DOI: 10.3390/antiox13070855

Resource: (Cell Signaling Technology Cat# 8690, RRID:AB_10999090)

Curator: @scibot

SciCrunch record: RRID:AB_10999090

What is this?

DOI: 10.3390/antiox13070855

Resource: (Cell Signaling Technology Cat# 9215, RRID:AB_331762)

Curator: @scibot

SciCrunch record: RRID:AB_331762

What is this?

DOI: 10.3390/antiox13070855

Resource: (Cell Signaling Technology Cat# 9102, RRID:AB_330744)

Curator: @scibot

SciCrunch record: RRID:AB_330744

What is this?

DOI: 10.3390/antiox13070855

Resource: (Cell Signaling Technology Cat# 4370, RRID:AB_2315112)

Curator: @scibot

SciCrunch record: RRID:AB_2315112

What is this?

DOI: 10.3390/antiox13070855

Resource: (Cell Signaling Technology Cat# 9252, RRID:AB_2250373)

Curator: @scibot

SciCrunch record: RRID:AB_2250373

What is this?

DOI: 10.3390/antiox13070855

Resource: (Thermo Fisher Scientific Cat# A-11001, RRID:AB_2534069)

Curator: @scibot

SciCrunch record: RRID:AB_2534069

What is this?

DOI: 10.3390/antiox13070855

Resource: (Thermo Fisher Scientific Cat# A-11073, RRID:AB_2534117)

Curator: @scibot

SciCrunch record: RRID:AB_2534117

What is this?

DOI: 10.3390/antiox13070855

Resource: (Thermo Fisher Scientific Cat# A-11012, RRID:AB_2534079)

Curator: @scibot

SciCrunch record: RRID:AB_2534079

What is this?

DOI: 10.3390/antiox13070855

Resource: (Sigma-Aldrich Cat# S5768, RRID:AB_477523)

Curator: @scibot

SciCrunch record: RRID:AB_477523

What is this?

DOI: 10.3390/antiox13070855

Resource: (Millipore Cat# AB2253, RRID:AB_1586992)

Curator: @scibot

SciCrunch record: RRID:AB_1586992

What is this?

DOI: 10.3390/antiox13070855

Resource: (Abcam Cat# ab104225, RRID:AB_10711153)

Curator: @scibot

SciCrunch record: RRID:AB_10711153

What is this?

DOI: 10.3390/antiox13070855

Resource: (Wako Cat# 019-19741, RRID:AB_839504)

Curator: @scibot

SciCrunch record: RRID:AB_839504

What is this?

DOI: 10.1091/mbc.E23-11-0421

Resource: RRID:Addgene_61838

Curator: @scibot

SciCrunch record: RRID:Addgene_61838

What is this?

DOI: 10.1091/mbc.E23-11-0421

Resource: Addgene_162276

Curator: @scibot

SciCrunch record: RRID:Addgene_162276

What is this?

DOI: 10.1091/mbc.E24-02-0093

Resource: RRID:Addgene_41393

Curator: @scibot

SciCrunch record: RRID:Addgene_41393

What is this?

DOI: 10.1186/s12974-024-03182-9

Resource: Colorado State University Laboratory Animal Resources Core Facility (RRID:SCR_022157)

Curator: @scibot

SciCrunch record: RRID:SCR_022157

What is this?

DOI: 10.1002/ctm2.1758

Resource: GraphPad Prism (RRID:SCR_002798)

Curator: @scibot

SciCrunch record: RRID:SCR_002798

What is this?

DOI: 10.1002/ctm2.1758

Resource: clusterProfiler (RRID:SCR_016884)

Curator: @scibot

SciCrunch record: RRID:SCR_016884

What is this?

DOI: 10.1002/ctm2.1758

Resource: IPython (RRID:SCR_001658)

Curator: @scibot

SciCrunch record: RRID:SCR_001658

What is this?

DOI: 10.1002/ctm2.1758

Resource: Addgene_188492

Curator: @scibot

SciCrunch record: RRID:Addgene_188492

What is this?

DOI: 10.1002/ctm2.1758

Resource: RRID:Addgene_11795

Curator: @scibot

SciCrunch record: RRID:Addgene_11795

What is this?

DOI: 10.1002/ctm2.1758

Resource: CRISPOR (RRID:SCR_015935)

Curator: @scibot

SciCrunch record: RRID:SCR_015935

What is this?

DOI: 10.1083/jcb.202308083

Resource: (LI-COR Biosciences Cat# 926-68073, RRID:AB_10954442)

Curator: @scibot

SciCrunch record: RRID:AB_10954442

What is this?

DOI: 10.1083/jcb.202308083

Resource: (LI-COR Biosciences Cat# 926-32212, RRID:AB_621847)

Curator: @scibot

SciCrunch record: RRID:AB_621847

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Santa Cruz Biotechnology Cat# sc-1616, RRID:AB_630836)

Curator: @scibot

SciCrunch record: RRID:AB_630836

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Millipore Cat# MABE343, RRID:AB_2566826)

Curator: @scibot

SciCrunch record: RRID:AB_2566826

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Roche Cat# 11814460001, RRID:AB_390913)

Curator: @scibot

SciCrunch record: RRID:AB_390913

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Santa Cruz Biotechnology Cat# sc-32233, RRID:AB_627679)

Curator: @scibot

SciCrunch record: RRID:AB_627679

What is this?

DOI: 10.1083/jcb.202308083

Resource: AB_625312

Curator: @scibot

SciCrunch record: RRID:AB_625312

What is this?

DOI: 10.1083/jcb.202308083

Resource: AB_2881732

Curator: @scibot

SciCrunch record: RRID:AB_2881732

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Proteintech Cat# 15112-1-AP, RRID:AB_2070016)

Curator: @scibot

SciCrunch record: RRID:AB_2070016

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Thermo Fisher Scientific Cat# A-21432, RRID:AB_2535853)

Curator: @scibot

SciCrunch record: RRID:AB_2535853

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Molecular Probes Cat# A-31572, RRID:AB_162543)

Curator: @scibot

SciCrunch record: RRID:AB_162543

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Molecular Probes Cat# A-31571, RRID:AB_162542)

Curator: @scibot

SciCrunch record: RRID:AB_162542

What is this?

DOI: 10.1083/jcb.202308083

Resource: AB_880113

Curator: @scibot

SciCrunch record: RRID:AB_880113

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Abcam Cat# ab21060, RRID:AB_777008)

Curator: @scibot

SciCrunch record: RRID:AB_777008

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Santa Cruz Biotechnology Cat# sc-137214, RRID:AB_2277705)

Curator: @scibot

SciCrunch record: RRID:AB_2277705

What is this?

DOI: 10.1083/jcb.202308083

Resource: (Proteintech Cat# 12892-1-AP, RRID:AB_2200505)

Curator: @scibot

SciCrunch record: RRID:AB_2200505

What is this?

DOI: 10.1083/jcb.202308083

Resource: (BD Biosciences Cat# 611127, RRID:AB_398438)

Curator: @scibot

SciCrunch record: RRID:AB_398438

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BD Biosciences Cat# 562401, RRID:AB_11152084)

Curator: @scibot

SciCrunch record: RRID:AB_11152084

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Thermo Fisher Scientific Cat# 12-5773-82, RRID:AB_465936)

Curator: @scibot

SciCrunch record: RRID:AB_465936

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BioLegend Cat# 145506, RRID:AB_2561970)

Curator: @scibot

SciCrunch record: RRID:AB_2561970

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: AB_2917330

Curator: @scibot

SciCrunch record: RRID:AB_2917330

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Thermo Fisher Scientific Cat# 46-9985-82, RRID:AB_11150055)

Curator: @scibot

SciCrunch record: RRID:AB_11150055

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BioLegend Cat# 144614, RRID:AB_2563292)

Curator: @scibot

SciCrunch record: RRID:AB_2563292

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BioLegend Cat# 103138, RRID:AB_2563061)

Curator: @scibot

SciCrunch record: RRID:AB_2563061

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BD Biosciences Cat# 563151, RRID:AB_2687549)

Curator: @scibot

SciCrunch record: RRID:AB_2687549

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BD Biosciences Cat# 564021, RRID:AB_2738547)

Curator: @scibot

SciCrunch record: RRID:AB_2738547

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BD Biosciences Cat# 563333, RRID:AB_2738141)

Curator: @scibot

SciCrunch record: RRID:AB_2738141

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BD Biosciences Cat# 559354, RRID:AB_397235)

Curator: @scibot

SciCrunch record: RRID:AB_397235

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BioLegend Cat# 100341, RRID:AB_2562556)

Curator: @scibot

SciCrunch record: RRID:AB_2562556

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BD Biosciences Cat# 563103, RRID:AB_2738007)

Curator: @scibot

SciCrunch record: RRID:AB_2738007

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BioLegend Cat# 103151, RRID:AB_2565884)

Curator: @scibot

SciCrunch record: RRID:AB_2565884

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BioLegend Cat# 156604, RRID:AB_2783138)

Curator: @scibot

SciCrunch record: RRID:AB_2783138

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Abcam Cat# ab198216, RRID:AB_2892581)

Curator: @scibot

SciCrunch record: RRID:AB_2892581

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (R and D Systems Cat# AF2800, RRID:AB_2283871)

Curator: @scibot

SciCrunch record: RRID:AB_2283871

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Jackson ImmunoResearch Labs Cat# 715-545-150, RRID:AB_2340846)

Curator: @scibot

SciCrunch record: RRID:AB_2340846

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: AB_315076

Curator: @scibot

SciCrunch record: RRID:AB_315076

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (BioLegend Cat# 121601, RRID:AB_572020)

Curator: @scibot

SciCrunch record: RRID:AB_572020

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Agilent Cat# A006302, RRID:AB_578478)

Curator: @scibot

SciCrunch record: RRID:AB_578478

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Cell Signaling Technology Cat# 7076, RRID:AB_330924)

Curator: @scibot

SciCrunch record: RRID:AB_330924

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (FUJIFILM Wako Shibayagi Cat# 010-27841, RRID:AB_2858279)

Curator: @scibot

SciCrunch record: RRID:AB_2858279

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Cell Signaling Technology Cat# 12640, RRID:AB_2629499)

Curator: @scibot

SciCrunch record: RRID:AB_2629499

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Cell Signaling Technology Cat# 7074, RRID:AB_2099233)

Curator: @scibot

SciCrunch record: RRID:AB_2099233

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Cell Signaling Technology Cat# 9145, RRID:AB_2491009)

Curator: @scibot

SciCrunch record: RRID:AB_2491009

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Bethyl Cat# A90-103P, RRID:AB_67140)

Curator: @scibot

SciCrunch record: RRID:AB_67140

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Bethyl Cat# A90-131A, RRID:AB_67172)

Curator: @scibot

SciCrunch record: RRID:AB_67172

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: (Bethyl Cat# A90-103A, RRID:AB_67136)

Curator: @scibot

SciCrunch record: RRID:AB_67136

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: FlowJo (RRID:SCR_008520)

Curator: @scibot

SciCrunch record: RRID:SCR_008520

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: Fiji (RRID:SCR_002285)

Curator: @scibot

SciCrunch record: RRID:SCR_002285

What is this?

DOI: 10.1016/j.ebiom.2024.105256

Resource: RRID:IMSR_JCL:JCL:MGF-0003

Curator: @scibot

SciCrunch record: RRID:IMSR_JCL:JCL:MGF-0003

What is this?

DOI: 10.1016/j.celrep.2024.114541

Resource: RRID:BDSC_21

Curator: @scibot

SciCrunch record: RRID:BDSC_21

What is this?

DOI: 10.1016/j.celrep.2024.114541

Resource: (CLS Cat# 300297/NA, RRID:CVCL_0092)

Curator: @scibot

SciCrunch record: RRID:CVCL_0092

What is this?

DOI: 10.1016/j.celrep.2024.114540

Resource: Origin (RRID:SCR_014212)

Curator: @scibot

SciCrunch record: RRID:SCR_014212

What is this?

DOI: 10.1016/j.celrep.2024.114540

Resource: (Cell Signaling Technology Cat# 7074, RRID:AB_2099233)

Curator: @scibot

SciCrunch record: RRID:AB_2099233

What is this?

DOI: 10.1016/j.celrep.2024.114540