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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.
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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.
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www.youtube.com www.youtube.com
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Smith Corona Typewriter Ribbon Vibrator Bind, Lift Sticking Up, Forming/Adjusting Process by [[Phoenix Typewriter]]
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tight-paper-240209-1423-8050.apps.eap01t.sbb-azure-test.net tight-paper-240209-1423-8050.apps.eap01t.sbb-azure-test.net
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MG5
Smaller engines do the baseband energy while the biggest engine is designed for reacting quickly to needs.
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MG7
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.
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www.reddit.com www.reddit.com
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I started a typewriter repair business in my garage, and I got my first customer!
u/Affectionate-Dog8414 has started a small repair shop in their garage. Denver, CO
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www.youtube.com www.youtube.com
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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."
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www.google.com www.google.com
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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
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www.mdpi.com www.mdpi.com
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he most commonly used personality model is the Big Five personality traits model, which describes personality in five aspects: extroversion, neuroticism, agreeableness, conscientiousness, and openness
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
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openreview.net openreview.net
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he wind speed component u is148often not available or its use is restricted in most meteorological satellite imagery or NWP
is this correct? it can be derived from the two wind components?
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www.youtube.com www.youtube.com
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quand je me situe dans les caractères irreversible de mon expérience je suis dans ce queos appelle l'éternité
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An innovative element of the proposed approach is the use of common cliques in graphs representing documents to create a feature vector.
for - further research - common cliques in graphs - question - relevance to disaggregating text corpus into sub-sentence graph nodes?
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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
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humanities.wustl.edu humanities.wustl.edu
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Math camp was the happiest educational experience of my childhood. I loved theoretical math in grade school even and majored in philosophy of mathematics in college with the intention of going on in artificial intelligence or what at the time was called “quantificational logic” — roughly, machine language, translating human language into code and instructions that can be executed by computers.
Shared experience by author
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In your most recent book, The New Education (2017), you compellingly make the case that higher education must be redesigned in the face of the digital revolution. When did you first become interested in digital technologies?
The New education: redesigning higher education
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In your most recent book, The New Education (2017), you compellingly make the case that higher education must be redesigned in the face of the digital revolution. When did you first become interested in digital technologies?
Related to Higher Education
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Transparent Peer Review
Download the complete Review Process [PDF] including:
- reviews
- authors' reply
- editorial decisions
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Transparent Peer Review
Download the complete Review Process [PDF] including:
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emmarshall.github.io emmarshall.github.io
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The polygraph can detect lies.
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
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www.youtube.com www.youtube.com
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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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Web Templates and FastCGI/Proxy Cache
Hestia - NGINX fastCGI
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loadforge.com loadforge.com
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Optimizing Nginx Configuration for Faster WordPress Sites: A Comprehensive Guide - LoadForge Guides
NGINX wordpress, 优化速度
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www.getawaypodxtd.com www.getawaypodxtd.com
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Embark on freedom and happiness.
We know your sense of adventure knows no limits. The sturdy build and lightweight setup of the Getaway Pod XTD will take you to even the remote destinations on your wishlist.
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Excellence without compromise.
Nothing in the Getaway Pod XTD has been left to chance. With solar panels to keep you powered up, an ensuite shower and toilet tent for convenience and a wrap-around awning to rival the best of them, this 4wd camping trailer means business.
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Function over form, the details that matter.
Every detail has is designed to maximise the space, experience and creature comforts. From reverse cycle aircon to the luxury kitchen or from the king size bed with dual doors to the generous 870 litre storage space.
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A compact lightweight teardrop camper designed to tow on the back of most cars, you’ll never know how you travelled without it. Featuring luxurious amenities including a flat screen TV, king-size bed, gourmet kitchen with all the bells and whistles, an ensuite toilet and shower, plenty of storage, air-conditioner and a wrap-around awning, it’s the ultimate holiday accommodation you’ve been looking for, in moveable form.
Getaway Pod was started by two Aussie cousins who searched for an adventure solution that would perfectly blend their desire for creature comforts and extreme adventures.
The Getaway Pod is the compact lightweight 4wd camping trailer that ticked all their boxes.
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ideal for off-road adventures
STURDY DESIGN. CLEVER FEATURES. 100% LUXURY.
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Manufactured in australia
WE BELIEVE YOU CAN HAVE IT ALL
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compact lightweight teardrop camper
replace with: compact & lightweight teardrop 4wd camping trailer
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You’ve just discovered a lighter, simpler, easier way to travel, with the Getaway Pod XTD.
Remove this because it was moved to the above the fold banner.
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Safe and lightweight towing (say goodbye to heavy caravans!) Built tough, the Getaway Pod XTD is ideal for off-road adventures.
Replace this with: Ready to explore the lighter, simpler & easier way to travel?
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Effortless luxurious holidays, anytime, anywhere.
THE 4WD CAMPING TRAILER FOR EFFORTLESS LUXURIOUS HOLIDAYS. ANYTIME, ANYWHERE.
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Local file Local file
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這裡一樣遵循電子學中可以解決 70% 以上問題的歐姆定律:V = IR,或者也可以寫成 I = V/R
要么调整负载,要么调整电压
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online.pubhtml5.com online.pubhtml5.com
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NBdca
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www.markup.io www.markup.io
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of Google Chrome extensions and standalone platforms. Before getting into detail on each tool’s features and pricing, here’s an overview of
Wasdwadwa
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emmarshall.github.io emmarshall.github.io
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Facial Expression and Recognition of Emotions
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.
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Bloomington Drosophila Stock Center
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AB_10988612
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- RRID:AB_2610849
- RRID:AB_302873
- RRID:AB_10987499
- RRID:AB_2118010
- RRID:AB_444313
- RRID:AB_881762
- RRID:AB_297222
- RRID:AB_2313567
- RRID:AB_162542
- RRID:AB_10980693
- RRID:AB_10976973
- RRID:AB_10983840
- RRID:AB_2666679
- RRID:AB_2610848
Annotators
URL
-
-
www.sciencedirect.com www.sciencedirect.com
-
RRID: CVCL_2186
DOI: 10.1016/j.ccell.2024.06.012
Resource: CVCL_2186
Curator: @vtello
SciCrunch record: RRID:CVCL_2186
-
-
www.sciencedirect.com www.sciencedirect.com
-
Cat#CRL-2700
DOI: 10.1016/j.celrep.2024.114530
Resource: (ATCC Cat# CRL-2700, RRID:CVCL_G654)
Curator: @vtello
SciCrunch record: RRID:CVCL_G654
-
Cat#CRL-11268
DOI: 10.1016/j.celrep.2024.114530
Resource: (ATCC Cat# CRL-11268, RRID:CVCL_1926)
Curator: @vtello
SciCrunch record: RRID:CVCL_1926
-
Thermo FisherCat#A14635
DOI: 10.1016/j.celrep.2024.114530
Resource: (RRID:CVCL_D615)
Curator: @vtello
SciCrunch record: RRID:CVCL_D615
-
-
www.sciencedirect.com www.sciencedirect.com
-
ZDB-ALT-150721-8
DOI: 10.1016/j.celrep.2024.114559
Resource: ZFIN_ZDB-GENO-150721-5
Curator: @vtello
SciCrunch record: RRID:ZFIN_ZDB-GENO-150721-5
-
ZDB-FISH-150901-7644
DOI: 10.1016/j.celrep.2024.114559
Resource: ZFIN_ZDB-GENO-980202-1296
Curator: @vtello
SciCrunch record: RRID:ZFIN_ZDB-GENO-980202-1296
-
ZDB-ALT-190322-11
DOI: 10.1016/j.celrep.2024.114559
Resource: ZFIN_ZDB-GENO-190806-1
Curator: @vtello
SciCrunch record: RRID:ZFIN_ZDB-GENO-190806-1
-
ZDB-FISH-150901-29969
DOI: 10.1016/j.celrep.2024.114559
Resource: ZFIN_ZDB-GENO-141030-2
Curator: @vtello
SciCrunch record: RRID:ZFIN_ZDB-GENO-141030-2
-
-
52.53.155.43 52.53.155.43
-
RRID: AB_ 2167511
DOI: 10.14336/ad.2024.0224
Resource: (Santa Cruz Biotechnology Cat# sc-31984, RRID:AB_2167511)
Curator: @dhovakimyan1
SciCrunch record: RRID:AB_2167511
-
-
www.sciencedirect.com www.sciencedirect.com
-
Cat #TIB-202
DOI: 10.1016/j.immuni.2024.07.002
Resource: (RCB Cat# RCB1189, RRID:CVCL_0006)
Curator: @vtello
SciCrunch record: RRID:CVCL_0006
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
RRID:CVCL_1511
DOI: 10.1002/ijc.35098
Resource: (ICLC Cat# HTL06001, RRID:CVCL_1511)
Curator: @dhovakimyan1
SciCrunch record: RRID:CVCL_1511
-
-
www.biorxiv.org www.biorxiv.org
-
BJ-5ta cells (ATCC
DOI: 10.1101/2024.07.21.604463
Resource: (ATCC Cat# CRL-4001, RRID:CVCL_6573)
Curator: @dhovakimyan1
SciCrunch record: RRID:CVCL_6573
-
-
www.biorxiv.org www.biorxiv.org
-
RRID:AB_310268
DOI: 10.1101/2024.07.22.604482
Resource: (Millipore Cat# 06-863, RRID:AB_310268)
Curator: @dhovakimyan1
SciCrunch record: RRID:AB_310268
-
RRID:AB_2561044
DOI: 10.1101/2024.07.22.604482
Resource: (Cell Signaling Technology Cat# 9198, RRID:AB_2561044)
Curator: @dhovakimyan1
SciCrunch record: RRID:AB_2561044
-
RRID:AB_2255011
DOI: 10.1101/2024.07.22.604482
Resource: (Cell Signaling Technology Cat# 3879, RRID:AB_2255011)
Curator: @dhovakimyan1
SciCrunch record: RRID:AB_2255011
-
CVCL_0553
DOI: 10.1101/2024.07.22.604482
Resource: (BCRC Cat# 60250, RRID:CVCL_0553)
Curator: @dhovakimyan1
SciCrunch record: RRID:CVCL_0553
-
CVCL_0332
DOI: 10.1101/2024.07.22.604482
Resource: (ECACC Cat# 86082104, RRID:CVCL_0332)
Curator: @dhovakimyan1
SciCrunch record: RRID:CVCL_0332
-
RRID:CVCL_0062
DOI: 10.1101/2024.07.22.604482
Resource: (ATCC Cat# CRM-HTB-26, RRID:CVCL_0062)
Curator: @dhovakimyan1
SciCrunch record: RRID:CVCL_0062
-
-
cdnsciencepub.com cdnsciencepub.com
-
RRID: SCR_003070
DOI: 10.1139/cjm-2024-0014
Resource: SCR_003070
Curator: @dhovakimyan1
SciCrunch record: RRID: SCR_003070
-
-
www.biorxiv.org www.biorxiv.org
-
RRID: SCR_011323
DOI: 10.1101/2024.07.24.604995
Resource: pClamp (RRID:SCR_011323)
Curator: @dhovakimyan1
SciCrunch record: RRID:SCR_011323
-
-
www.biorxiv.org www.biorxiv.org
-
Strain #: 000664
DOI: 10.1101/2024.07.19.604274
Resource: (IMSR Cat# JAX_000664,RRID:IMSR_JAX:000664)
Curator: @dhovakimyan1
SciCrunch record: RRID:IMSR_JAX:000664
-
-
journals.asm.org journals.asm.org
-
RRID: CVCL_0358
DOI: 10.1128/msphere.00254-24
Resource: (KCB Cat# KCB 2010167, RRID:CVCL_0358)
Curator: @dhovakimyan1
SciCrunch record: RRID:CVCL_0358
-
-
www.biorxiv.org www.biorxiv.org
-
Jackson Laboratory, Stock No. 002810
DOI: 10.1101/2024.07.24.604946
Resource: (IMSR Cat# JAX_002810,RRID:IMSR_JAX:002810)
Curator: @dhovakimyan1
SciCrunch record: RRID:IMSR_JAX:002810
-
Jackson #017320
DOI: 10.1101/2024.07.24.604946
Resource: (IMSR Cat# JAX_017320,RRID:IMSR_JAX:017320)
Curator: @dhovakimyan1
SciCrunch record: RRID:IMSR_JAX:017320
-
Jackson #005628
DOI: 10.1101/2024.07.24.604946
Resource: (IMSR Cat# JAX_005628,RRID:IMSR_JAX:005628)
Curator: @dhovakimyan1
SciCrunch record: RRID:IMSR_JAX:005628
-
-
www.biorxiv.org www.biorxiv.org
-
AddGene #86244
DOI: 10.1101/2024.07.25.605169
Resource: Addgene_86244
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_86244
-
-
www.biorxiv.org www.biorxiv.org
-
91794
DOI: 10.1101/2024.07.25.605008
Resource: RRID:Addgene_91794
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_91794
-
Addgene 91792
DOI: 10.1101/2024.07.25.605008
Resource: RRID:Addgene_91792
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_91792
-
Addgene 116374
DOI: 10.1101/2024.07.25.605008
Resource: Addgene_116374
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_116374
-
12259
DOI: 10.1101/2024.07.25.605008
Resource: RRID:Addgene_12259
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_12259
-
Addgene 12260
DOI: 10.1101/2024.07.25.605008
Resource: RRID:Addgene_12260
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_12260
-
Addgene 1864
DOI: 10.1101/2024.07.25.605008
Resource: RRID:Addgene_1864
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_1864
-
90007
DOI: 10.1101/2024.07.25.605008
Resource: RRID:Addgene_90007
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_90007
-
90005
DOI: 10.1101/2024.07.25.605008
Resource: RRID:Addgene_90005
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_90005
-
90006
DOI: 10.1101/2024.07.25.605008
Resource: Addgene_90006
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_90006
-
31355
DOI: 10.1101/2024.07.25.605008
Resource: RRID:Addgene_31355
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_31355
-
31354
DOI: 10.1101/2024.07.25.605008
Resource: RRID:Addgene_31354
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_31354
-
31353
DOI: 10.1101/2024.07.25.605008
Resource: Addgene_31353
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_31353
-
32886
DOI: 10.1101/2024.07.25.605008
Resource: Addgene_32886
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_32886
-
Addgene 31352
DOI: 10.1101/2024.07.25.605008
Resource: Addgene_31352
Curator: @dhovakimyan1
SciCrunch record: RRID:Addgene_31352
Tags
- RRID:Addgene_1864
- RRID:Addgene_116374
- RRID:Addgene_31355
- RRID:Addgene_90007
- RRID:Addgene_32886
- RRID:Addgene_31353
- RRID:Addgene_12260
- RRID:Addgene_91792
- RRID:Addgene_91794
- RRID:Addgene_90005
- RRID:Addgene_31354
- DOI:10.1101/2024.07.25.605008
- RRID:Addgene_90006
- RRID:Addgene_12259
- RRID:Addgene_31352
Annotators
URL
-
-
ovarianresearch.biomedcentral.com ovarianresearch.biomedcentral.com
-
RRID: CVCL_0465
DOI: 10.1186/s13048-024-01479-0
Resource: (ATCC Cat# HTB-161, RRID:CVCL_0465)
Curator: @dhovakimyan1
SciCrunch record: RRID:CVCL_0465
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:AB_2099233
DOI: 10.3390/antiox13070855
Resource: (Cell Signaling Technology Cat# 7074, RRID:AB_2099233)
Curator: @scibot
SciCrunch record: RRID:AB_2099233
-
RRID:AB_330924
DOI: 10.3390/antiox13070855
Resource: (Cell Signaling Technology Cat# 7076, RRID:AB_330924)
Curator: @scibot
SciCrunch record: RRID:AB_330924
-
RRID:AB_10999090
DOI: 10.3390/antiox13070855
Resource: (Cell Signaling Technology Cat# 8690, RRID:AB_10999090)
Curator: @scibot
SciCrunch record: RRID:AB_10999090
-
RRID:AB_331762
DOI: 10.3390/antiox13070855
Resource: (Cell Signaling Technology Cat# 9215, RRID:AB_331762)
Curator: @scibot
SciCrunch record: RRID:AB_331762
-
RRID:AB_330744
DOI: 10.3390/antiox13070855
Resource: (Cell Signaling Technology Cat# 9102, RRID:AB_330744)
Curator: @scibot
SciCrunch record: RRID:AB_330744
-
RRID:AB_2315112
DOI: 10.3390/antiox13070855
Resource: (Cell Signaling Technology Cat# 4370, RRID:AB_2315112)
Curator: @scibot
SciCrunch record: RRID:AB_2315112
-
RRID:AB_2250373
DOI: 10.3390/antiox13070855
Resource: (Cell Signaling Technology Cat# 9252, RRID:AB_2250373)
Curator: @scibot
SciCrunch record: RRID:AB_2250373
-
RRID:AB_2534069
DOI: 10.3390/antiox13070855
Resource: (Thermo Fisher Scientific Cat# A-11001, RRID:AB_2534069)
Curator: @scibot
SciCrunch record: RRID:AB_2534069
-
RRID:AB_2534117
DOI: 10.3390/antiox13070855
Resource: (Thermo Fisher Scientific Cat# A-11073, RRID:AB_2534117)
Curator: @scibot
SciCrunch record: RRID:AB_2534117
-
RRID:AB_2534079
DOI: 10.3390/antiox13070855
Resource: (Thermo Fisher Scientific Cat# A-11012, RRID:AB_2534079)
Curator: @scibot
SciCrunch record: RRID:AB_2534079
-
RRID:AB_477523
DOI: 10.3390/antiox13070855
Resource: (Sigma-Aldrich Cat# S5768, RRID:AB_477523)
Curator: @scibot
SciCrunch record: RRID:AB_477523
-
RRID:AB_1586992
DOI: 10.3390/antiox13070855
Resource: (Millipore Cat# AB2253, RRID:AB_1586992)
Curator: @scibot
SciCrunch record: RRID:AB_1586992
-
RRID:AB_10711153
DOI: 10.3390/antiox13070855
Resource: (Abcam Cat# ab104225, RRID:AB_10711153)
Curator: @scibot
SciCrunch record: RRID:AB_10711153
-
RRID:AB_839504
DOI: 10.3390/antiox13070855
Resource: (Wako Cat# 019-19741, RRID:AB_839504)
Curator: @scibot
SciCrunch record: RRID:AB_839504
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:Addgene_61838
DOI: 10.1091/mbc.E23-11-0421
Resource: RRID:Addgene_61838
Curator: @scibot
SciCrunch record: RRID:Addgene_61838
-
RRID:Addgene_162276
DOI: 10.1091/mbc.E23-11-0421
Resource: Addgene_162276
Curator: @scibot
SciCrunch record: RRID:Addgene_162276
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:Addgene_41393
DOI: 10.1091/mbc.E24-02-0093
Resource: RRID:Addgene_41393
Curator: @scibot
SciCrunch record: RRID:Addgene_41393
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_022157
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
Tags
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_002798
DOI: 10.1002/ctm2.1758
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
-
RRID:SCR_016884
DOI: 10.1002/ctm2.1758
Resource: clusterProfiler (RRID:SCR_016884)
Curator: @scibot
SciCrunch record: RRID:SCR_016884
-
RRID:SCR_001658
DOI: 10.1002/ctm2.1758
Resource: IPython (RRID:SCR_001658)
Curator: @scibot
SciCrunch record: RRID:SCR_001658
-
RRID:Addgene_188492
DOI: 10.1002/ctm2.1758
Resource: Addgene_188492
Curator: @scibot
SciCrunch record: RRID:Addgene_188492
-
RRID:Addgene_11795
DOI: 10.1002/ctm2.1758
Resource: RRID:Addgene_11795
Curator: @scibot
SciCrunch record: RRID:Addgene_11795
-
RRID:SCR_015935
DOI: 10.1002/ctm2.1758
Resource: CRISPOR (RRID:SCR_015935)
Curator: @scibot
SciCrunch record: RRID:SCR_015935
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:AB_10954442
DOI: 10.1083/jcb.202308083
Resource: (LI-COR Biosciences Cat# 926-68073, RRID:AB_10954442)
Curator: @scibot
SciCrunch record: RRID:AB_10954442
-
RRID:AB_621847
DOI: 10.1083/jcb.202308083
Resource: (LI-COR Biosciences Cat# 926-32212, RRID:AB_621847)
Curator: @scibot
SciCrunch record: RRID:AB_621847
-
RRID:AB_630836
DOI: 10.1083/jcb.202308083
Resource: (Santa Cruz Biotechnology Cat# sc-1616, RRID:AB_630836)
Curator: @scibot
SciCrunch record: RRID:AB_630836
-
RRID:AB_2566826
DOI: 10.1083/jcb.202308083
Resource: (Millipore Cat# MABE343, RRID:AB_2566826)
Curator: @scibot
SciCrunch record: RRID:AB_2566826
-
RRID:AB_390913
DOI: 10.1083/jcb.202308083
Resource: (Roche Cat# 11814460001, RRID:AB_390913)
Curator: @scibot
SciCrunch record: RRID:AB_390913
-
RRID:AB_627679
DOI: 10.1083/jcb.202308083
Resource: (Santa Cruz Biotechnology Cat# sc-32233, RRID:AB_627679)
Curator: @scibot
SciCrunch record: RRID:AB_627679
-
RRID:AB_625312
-
RRID:AB_2881732
-
RRID:AB_2070016
DOI: 10.1083/jcb.202308083
Resource: (Proteintech Cat# 15112-1-AP, RRID:AB_2070016)
Curator: @scibot
SciCrunch record: RRID:AB_2070016
-
RRID:AB_2535853
DOI: 10.1083/jcb.202308083
Resource: (Thermo Fisher Scientific Cat# A-21432, RRID:AB_2535853)
Curator: @scibot
SciCrunch record: RRID:AB_2535853
-
RRID:AB_162543
DOI: 10.1083/jcb.202308083
Resource: (Molecular Probes Cat# A-31572, RRID:AB_162543)
Curator: @scibot
SciCrunch record: RRID:AB_162543
-
RRID:AB_162542
DOI: 10.1083/jcb.202308083
Resource: (Molecular Probes Cat# A-31571, RRID:AB_162542)
Curator: @scibot
SciCrunch record: RRID:AB_162542
-
RRID:AB_880113
-
RRID:AB_777008
DOI: 10.1083/jcb.202308083
Resource: (Abcam Cat# ab21060, RRID:AB_777008)
Curator: @scibot
SciCrunch record: RRID:AB_777008
-
RRID:AB_2277705
DOI: 10.1083/jcb.202308083
Resource: (Santa Cruz Biotechnology Cat# sc-137214, RRID:AB_2277705)
Curator: @scibot
SciCrunch record: RRID:AB_2277705
-
RRID:AB_2200505
DOI: 10.1083/jcb.202308083
Resource: (Proteintech Cat# 12892-1-AP, RRID:AB_2200505)
Curator: @scibot
SciCrunch record: RRID:AB_2200505
-
RRID:AB_398438
DOI: 10.1083/jcb.202308083
Resource: (BD Biosciences Cat# 611127, RRID:AB_398438)
Curator: @scibot
SciCrunch record: RRID:AB_398438
-
-
www.sciencedirect.com www.sciencedirect.com
-
AB_11152084
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BD Biosciences Cat# 562401, RRID:AB_11152084)
Curator: @scibot
SciCrunch record: RRID:AB_11152084
-
AB_465936
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
-
AB_2561970
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BioLegend Cat# 145506, RRID:AB_2561970)
Curator: @scibot
SciCrunch record: RRID:AB_2561970
-
AB_2917330
DOI: 10.1016/j.ebiom.2024.105256
Resource: AB_2917330
Curator: @scibot
SciCrunch record: RRID:AB_2917330
-
AB_11150055
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
-
AB_2563292
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BioLegend Cat# 144614, RRID:AB_2563292)
Curator: @scibot
SciCrunch record: RRID:AB_2563292
-
AB_2563061
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BioLegend Cat# 103138, RRID:AB_2563061)
Curator: @scibot
SciCrunch record: RRID:AB_2563061
-
AB_2687549
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BD Biosciences Cat# 563151, RRID:AB_2687549)
Curator: @scibot
SciCrunch record: RRID:AB_2687549
-
AB_2738547
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BD Biosciences Cat# 564021, RRID:AB_2738547)
Curator: @scibot
SciCrunch record: RRID:AB_2738547
-
AB_2738141
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BD Biosciences Cat# 563333, RRID:AB_2738141)
Curator: @scibot
SciCrunch record: RRID:AB_2738141
-
AB_397235
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BD Biosciences Cat# 559354, RRID:AB_397235)
Curator: @scibot
SciCrunch record: RRID:AB_397235
-
AB_2562556
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BioLegend Cat# 100341, RRID:AB_2562556)
Curator: @scibot
SciCrunch record: RRID:AB_2562556
-
AB_2738007
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BD Biosciences Cat# 563103, RRID:AB_2738007)
Curator: @scibot
SciCrunch record: RRID:AB_2738007
-
AB_2565884
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BioLegend Cat# 103151, RRID:AB_2565884)
Curator: @scibot
SciCrunch record: RRID:AB_2565884
-
AB_2783138
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BioLegend Cat# 156604, RRID:AB_2783138)
Curator: @scibot
SciCrunch record: RRID:AB_2783138
-
AB_2892581
DOI: 10.1016/j.ebiom.2024.105256
Resource: (Abcam Cat# ab198216, RRID:AB_2892581)
Curator: @scibot
SciCrunch record: RRID:AB_2892581
-
AB_2283871
DOI: 10.1016/j.ebiom.2024.105256
Resource: (R and D Systems Cat# AF2800, RRID:AB_2283871)
Curator: @scibot
SciCrunch record: RRID:AB_2283871
-
AB_2340846
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
-
AB_315076
DOI: 10.1016/j.ebiom.2024.105256
Resource: AB_315076
Curator: @scibot
SciCrunch record: RRID:AB_315076
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AB_572020
DOI: 10.1016/j.ebiom.2024.105256
Resource: (BioLegend Cat# 121601, RRID:AB_572020)
Curator: @scibot
SciCrunch record: RRID:AB_572020
-
AB_578478
DOI: 10.1016/j.ebiom.2024.105256
Resource: (Agilent Cat# A006302, RRID:AB_578478)
Curator: @scibot
SciCrunch record: RRID:AB_578478
-
AB_330924
DOI: 10.1016/j.ebiom.2024.105256
Resource: (Cell Signaling Technology Cat# 7076, RRID:AB_330924)
Curator: @scibot
SciCrunch record: RRID:AB_330924
-
AB_2858279
DOI: 10.1016/j.ebiom.2024.105256
Resource: (FUJIFILM Wako Shibayagi Cat# 010-27841, RRID:AB_2858279)
Curator: @scibot
SciCrunch record: RRID:AB_2858279
-
AB_2629499
DOI: 10.1016/j.ebiom.2024.105256
Resource: (Cell Signaling Technology Cat# 12640, RRID:AB_2629499)
Curator: @scibot
SciCrunch record: RRID:AB_2629499
-
AB_2099233
DOI: 10.1016/j.ebiom.2024.105256
Resource: (Cell Signaling Technology Cat# 7074, RRID:AB_2099233)
Curator: @scibot
SciCrunch record: RRID:AB_2099233
-
AB_2491009
DOI: 10.1016/j.ebiom.2024.105256
Resource: (Cell Signaling Technology Cat# 9145, RRID:AB_2491009)
Curator: @scibot
SciCrunch record: RRID:AB_2491009
-
AB_67140
DOI: 10.1016/j.ebiom.2024.105256
Resource: (Bethyl Cat# A90-103P, RRID:AB_67140)
Curator: @scibot
SciCrunch record: RRID:AB_67140
-
AB_67172
DOI: 10.1016/j.ebiom.2024.105256
Resource: (Bethyl Cat# A90-131A, RRID:AB_67172)
Curator: @scibot
SciCrunch record: RRID:AB_67172
-
AB_67136
DOI: 10.1016/j.ebiom.2024.105256
Resource: (Bethyl Cat# A90-103A, RRID:AB_67136)
Curator: @scibot
SciCrunch record: RRID:AB_67136
-
RRID:SCR_008520
DOI: 10.1016/j.ebiom.2024.105256
Resource: FlowJo (RRID:SCR_008520)
Curator: @scibot
SciCrunch record: RRID:SCR_008520
-
RRID:SCR_002285
DOI: 10.1016/j.ebiom.2024.105256
Resource: Fiji (RRID:SCR_002285)
Curator: @scibot
SciCrunch record: RRID:SCR_002285
-
RRID:IMSR_JCL:JCL
DOI: 10.1016/j.ebiom.2024.105256
Resource: RRID:IMSR_JCL:JCL:MGF-0003
Curator: @scibot
SciCrunch record: RRID:IMSR_JCL:JCL:MGF-0003
Tags
- RRID:AB_67140
- RRID:AB_2783138
- RRID:AB_11152084
- RRID:AB_397235
- RRID:AB_11150055
- RRID:AB_465936
- RRID:AB_2565884
- RRID:AB_2562556
- RRID:AB_578478
- RRID:AB_572020
- RRID:AB_2629499
- RRID:IMSR_JCL:JCL:MGF-0003
- RRID:AB_2563292
- RRID:AB_2340846
- RRID:AB_2738007
- RRID:AB_2491009
- RRID:SCR_002285
- RRID:AB_2687549
- RRID:AB_2283871
- RRID:AB_330924
- RRID:AB_67136
- RRID:AB_2738547
- RRID:AB_2858279
- RRID:AB_2561970
- RRID:AB_2917330
- RRID:AB_2099233
- RRID:AB_2563061
- RRID:AB_315076
- RRID:AB_67172
- RRID:SCR_008520
- RRID:AB_2892581
- RRID:AB_2738141
Annotators
URL
-
-
www.sciencedirect.com www.sciencedirect.com
-
BL21
DOI: 10.1016/j.celrep.2024.114541
Resource: RRID:BDSC_21
Curator: @scibot
SciCrunch record: RRID:BDSC_21
-
CVCL_0092
DOI: 10.1016/j.celrep.2024.114541
Resource: (CLS Cat# 300297/NA, RRID:CVCL_0092)
Curator: @scibot
SciCrunch record: RRID:CVCL_0092
-
-
www.sciencedirect.com www.sciencedirect.com
-
SCR_014212
DOI: 10.1016/j.celrep.2024.114540
Resource: Origin (RRID:SCR_014212)
Curator: @scibot
SciCrunch record: RRID:SCR_014212
-
AB_2099233
DOI: 10.1016/j.celrep.2024.114540
Resource: (Cell Signaling Technology Cat# 7074, RRID:AB_2099233)
Curator: @scibot
SciCrunch record: RRID:AB_2099233
-
AB_561053
DOI: 10.1016/j.celrep.2024.114540
Resource: (Cell Signaling Technology Cat# 2118, RRID:AB_561053)
Curator: @scibot
SciCrunch record: RRID:AB_561053
-
AB_2535849
DOI: 10.1016/j.celrep.2024.114540
Resource: (Thermo Fisher Scientific Cat# A-21428, RRID:AB_2535849)
Curator: @scibot
SciCrunch record: RRID:AB_2535849
-
AB_143165
DOI: 10.1016/j.celrep.2024.114540
Resource: (Thermo Fisher Scientific Cat# A-11008, RRID:AB_143165)
Curator: @scibot
SciCrunch record: RRID:AB_143165
-
RRID:SCR_005393
DOI: 10.1016/j.celrep.2024.114540
Resource: NEURON (RRID:SCR_005393)
Curator: @scibot
SciCrunch record: RRID:SCR_005393
-
RRID:SCR_008394
DOI: 10.1016/j.celrep.2024.114540
Resource: Python Programming Language (RRID:SCR_008394)
Curator: @scibot
SciCrunch record: RRID:SCR_008394
-
RRID:SCR_002798
DOI: 10.1016/j.celrep.2024.114540
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
-
RRID:SCR_011323
DOI: 10.1016/j.celrep.2024.114540
Resource: pClamp (RRID:SCR_011323)
Curator: @scibot
SciCrunch record: RRID:SCR_011323
-
RRID:SCR_017142
DOI: 10.1016/j.celrep.2024.114540
Resource: Ultima In Vitro Multiphoton Microscope System (RRID:SCR_017142)
Curator: @scibot
SciCrunch record: RRID:SCR_017142
-
RRID:IMSR_JAX:006417
DOI: 10.1016/j.celrep.2024.114540
Resource: (IMSR Cat# JAX_006417,RRID:IMSR_JAX:006417)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:006417
-
RRID:IMSR_JAX:007908
DOI: 10.1016/j.celrep.2024.114540
Resource: (IMSR Cat# JAX_007908,RRID:IMSR_JAX:007908)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:007908
-
RRID:IMSR_JAX:006410
DOI: 10.1016/j.celrep.2024.114540
Resource: (IMSR Cat# JAX_006410,RRID:IMSR_JAX:006410)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:006410
-