1. May 2024
    1. eLife assessment

      This useful study identifies amino acid residues in the C. elegans RNA-binding protein NHL-2 that are required for RNA binding in vitro and NHL-2 function in vivo. The evidence in support of the authors' mechanistic model is currently incomplete, as data implicating specific NHL-2 amino acids in RNA binding per se in vivo are not presented. This manuscript will be of interest to scientists working in the area of gene regulation.

    2. Reviewer #1 (Public Review):

      Summary:

      C. elegans NHL-2 is a member of the conserved TRIM-NHL RNA binding protein family, with known functions in promoting small regulatory RNA function, including the conserved let-7 family microRNAs. Since NHL-2 promotes microRNA function, the authors seek to address if this function is due to direct binding of a mRNA target shared with the miRNA pathway. They successfully solve the crystal structure of NHL-2's NHL domain and discover residues Tyr935/Arg978 are required for RNA binding in vitro. In C. elegans, they establish that Tyr935/Arg978 are required for nhl-2 to promote let-7 microRNA function. Processing body (P body) size is increased in nhl-2 (Y935A R978A) and null mutants. The microRNA Argonautes, ALG-1 and ALG-2, also show increased binding to known let-7 mRNA targets in nhl-2 null mutants. Together these data suggest a lack of mRNA turnover in the absence of functional NHL-2. NHL-2 may function with CGH-1 and IFET-1 to promote let-7 miRISC function.

      Strengths:

      The authors successfully solve the structure of NHL-2's NHL domain. Although unable to crystalize it bound to RNA they are able to predict residues important for RNA binding based on charge, position and comparison with other known NHL domain structures crystalized with RNA. In vitro RNA binding assays confirm that Tyr935/Arg978 are required for RNA binding in vitro.

      Weaknesses:

      (1) In vivo, authors use a combination of established let-7 microRNA genetics and a 3' UTR reporter assay to establish that Tyr935/Arg978 are required for nhl-2 to promote let-7 microRNA function. However, they do not demonstrate that full length NHL-2 actually binds RNA directly in vivo in the Tyr935/Arg978 mutated background. While the presented genetic evidence suggests nhl(RBlf) acts much like the nhl-2 null, it is never demonstrated that full length NHL-2(RBlf) is actually RNA binding defective/dead in vivo. Yet several times in the text this is implied or stated. For example,<br /> o page 8, section title. "RNA binding is essential for NHL-2 function in heterochronic pathway"<br /> o page 9 - line 13-14. "Together, these data indicate that the RING and NHL domains are required for the normal function of NHL-2, but that the loss of RNA-binding activity has a more pronounced phenotype, suggesting that RNA-binding is critical for NHL-2 function."<br /> o page 11, line 3-4. "Together these experiments support the conclusion that... RNA binding is essential for its function"<br /> The language should be softened (e.g., page 8: "Residues required for RNA binding in vitro are required for NHL-2 function in heterochronic path") or additional experiments should be performed to support that NHL-2(RBlf) is in fact RNA binding defective/dead, like wild-type NHL-2 vs NHL-2(RBlf) RIP-qPCR for let-7 targets.

      (2) Authors report that Processing body (P body) size is dependent on nhl-2 and the Tyr935/Arg978 residues. microRNA Argonautes, ALG-1 and ALG-2, also show increased binding to known let-7 mRNA targets in nhl-2 null mutants (unfortunately requirement of Tyr935/Arg978 is not tested). However total levels of these mRNAs are unchanged. Authors propose these data together support a role for nhl-2 in promoting microRNA target turnover. Unfortunately, it is unclear how increased P body size with no observed increase of microRNA target levels are to be resolved.

      (3) The authors propose a model where NHL-2, CGH-1(DDX6) and IFET-1(eIF4E-transporter/4E-T) promote microRNA mediated translational repression and possibly turnover based on nhl-2-dependent IFET-1 interaction with ALG-1, cgh-1's synthetic interaction with both nhl-2 and ifet-1 to enhance let-7-mediated alae development, and conservation of known interactions between Dead Box helicases and eiF4A, which is supplemented by ALPHAFold modelling of IFET-1. The Boag lab previously characterized ifet-1 as a translational repressor required for germline P granule formation (Sengupta 2013 J Cell Sci). The role of NHL-2 RNA binding is unclear in this model as is any more molecular evidence of direct NHL-2, CGH-1 and IFET-1 interaction.

      (4) In Figure 5, adult nhl-2(ok818) worms express the mCherry when the putative NHL-2 binding sites in the lin-28 3'UTR reporter are mutated. Couldn't this be interpreted as suggesting that the observed phenotype is nhl-2 independent? The authors mention this as an "interesting" observation in text, but I find it concerning. The authors should address this issue more directly. The reporter expression data needs to be quantified.

      (5) I am frankly confused at the direction the manuscript takes in the Discussion section. The role of NHL-2 RNA binding, which has been the core of the paper, is seemingly disregarded and exchanged for what is mainly speculation about protein-protein level regulation with CGH-1 and IFET-1. This is all based on only a few pieces of data that do not include any analysis using the nhl-2(RBlf): nhl-2-dependent IFET-1 interaction with ALG-1, cgh-1's synthetic interaction with both nhl-2 and ifet-1 to enhance let-7-mediated alae development, and conservation of known interactions between Dead Box helicases and eiF4A, which is supplemented by ALPHAFold modelling of IFET-1. I'd strongly suggest reworking the text to better integrate IFET-1 or skip it and refocus the Discussion around the majority of the data characterizing NHL-2 RNA binding.

    3. Reviewer #2 (Public Review):

      Summary:

      In this manuscript, the authors provide structural analysis of the NHL domain for C. elegans NHL-2 and provide functional analysis of the NHL RNA binding domain. Their data support a model in which NHL-2 binding to mRNA targets through U rich motifs to promote miRISC regulation of translation and mRNA stability.

      Strengths:

      The authors present convincing data to describe the structure of the NHL-2 NHL domain along with functional analysis that supports an important role for two amino acids that are required for RNA binding activity. The function of these two amino acids were further studied through phenotypic assays to analyze their contribution to miRNA mediated regulation through the let-7 pathway. These data support an important role for RNA binding activity of NHL-2 in the regulation of miRNA dependent pathways. Genetic interactions support a role for the eIF4E binding protein IFET-1 in the miRISC activity.

      Weaknesses:

      The use of phenotypic assays to monitor let-7 pathway activity could be better explained so that the reader can more easily follow the significance of changes in alae formation or col-19::gfp expression.

      The challenges of comparing expression levels using extrachromosomal arrays should be acknowledged.

      The figure legends need to be revised to more clearly and accurately explain what is shown in the figures.

    4. Reviewer #3 (Public Review):

      Summary:

      The manuscript by Saadat et al., examines the structure and function of the NHL-2 RNA binding domain in miRNA-mediated gene regulation in C. elegans. NHL-2 has previously been shown to function in miRNA and other smRNA pathways in C. elegans but its mechanism of action is unclear. The authors present a crystal structure that revealed candidate RNA binding residues. In vitro binding assays confirmed that these amino acids were required for RNA binding. The authors tested the importance of the RING and NHL domains in NHL-2 by mutating the endogenous gene using CRISPR and analyzing developmental and molecular effects in C. elegans. They concluded that the RNA binding domain of NHL-2 and co-factors, including CGH-1 and IFET-1, are important for the regulation of some miRNA targets in developing C. elegans.

      Strengths:

      The NHL-2 structural work and in vitro analyses of RNA binding activity are rigorous. The work is important for providing new structural information for an important post-transcriptional regulator.

      Weaknesses:

      The in vivo studies to better understand the role of NHL and several cofactors require further controls, replicates or better explanations of the methods and analyses in order to support the conclusions. In particular, protein levels of the mutant NHL-2 strains should be analyzed to rule out differences in expression contributing to the results; the reporter strategy would be improved by showing it is dependent on miRNA regulation, including an internal control and adding quantitative data; validation of similar levels of ALG-1 protein in the immunoprecipitation experiments would add confidence for the differences in levels of miRNA targets detected.

    1. Figure 1: SDT as A New Approach in AI Writing

      This figure was also very persuasive, especially to me. The way the author laid out their points is very easy to understand and read here.

    2. The proposed solution offers several merits. It provides a holistic approach toincorporating AI in writing instruction, allowing individuals to reap AI's benefitswhile preserving their unique writing style, as discussed by Alqahtani et al. (2023),Liu et al. (2023), and Davenport (2018). It also encourages the conscious use of AI,promoting the development of writing skills without compromising creativity (Weda,2012). This balanced approach ensures that AI is an enhancement tool rather than adeterminant of writing style. This way, we can ensure that AI's role in writinginstruction is both effective and empowering, as emphasized by Washington (2023).

      Here, the author, to persuade the audience, uses ethos by listing various names agree with the same argument of Ai's development in writing skills.

    3. The individuals in question came from awide range of professional fields, including both inexperienced and experiencedwriters, educators, and regular users of AI writing tools like Grammarly and QuillBot,as emphasized in a recent analysis conducted by Washington, 2023.The primary goal of the research was to identify the ways in which writing toolspowered by artificial intelligence can improve students' independence, proficiency,and writing-relatedness.

      Shows the purpose of the article - to discover whether tools like Grammarly and QuillBot will assist people in learning to write, or just act as a crutch.

    4. Contributing to the ongoing discourse on incorporating AIinto educational practices

      Maybe the intended audience is the people involved in this "discourse", and the author wants to persuade them to their argument.

    1. eLife assessment

      This study presents a light-entrainable synthetic oscillator in bacteria, the optorepressilator. The authors develop a toolbox using optogenetics that makes the cellular oscillator easily controllable. This toolbox is valuable, contributing both to bioengineering and to the understanding of biological dynamical systems. The comparison with a mathematical model, population, and single-cell measurements demonstrate convincingly that the planned system was achieved and is suitable to control and study biological oscillators.

    2. Reviewer #1 (Public Review):

      Summary:

      The "optorepressilator", an optically controllable genetic oscillator based on the famous E. coli 3-repressor (LacI, TetR, CI) oscillator "repressilator", was developed. An individual repressilator shows a stable oscillation of the protein levels with a relatively long period that extends a few doubling times of E. coli, but when many cells oscillate, their phases tend to desynchronize. The authors introduced an additional optically controllable promoter through a conformal change of CcaS protein and let it control how much additional CI is produced. By tightly controlling the leak from the added promoter, the authors successfully kept the original repressilator oscillation when the added promoter was not activated. In contrast, the oscillation was stopped by expressing the additional CI. Using this system, the authors showed that it is possible to synchronise the phase of the oscillation, especially when the activation happens as a short pulse at the right phase of the repressilator oscillation. The authors further show that, by changing the frequency of the short pulses, the repressilator was entrained to various ratios to the pulse period, and the author could reconstruct the so-called "Arnold tongues", the signature of entrainment of the nonlinear oscillator to externally added periodic perturbation. The behaviour is consistent with the simplified mathematical model that simulates the protein concentration using ordinary differential equations.

      Strengths:

      Optical control of the oscillation of the protein clock is a powerful and clean tool for studying the synthetic oscillator's response to perturbation in a well-controlled and tunable manner. The article utilizes the plate reader setup for population average measurements and the mother machine setup for single-cell measurements, and they compensate nicely to acquire necessary information.

      Weaknesses:

      The current paper added the optogenetically controlled perturbation to control the phase of oscillation and entrainment, but there are a few other works that add external perturbation to a collection of cells that individually oscillate to study phase shift and/or entrainment. The current paper lacks discussion about the pros and cons of the current system compared to previously analyzed systems.

    3. Reviewer #2 (Public Review):

      Summary:

      In this manuscript by Cannarsa et. al., the authors describe the engineering of a light-entrainable synthetic biological oscillator in bacteria. It is based on an upgraded version of one of the first synthetic circuits to be constructed, the repressilator. The authors sought to make this oscillator entrainable by an external forcing signal, analogous to the way natural biological oscillators (like the circadian clock) are synchronized. They reasoned that an optogenetic system would provide a convenient and flexible means of manipulation. To this end, the authors exploited the CcaS-CcaA light-switchable system, which allows activation and deactivation of transcription by green and red light, respectively. They used this system to make the expression of one of the repressilator's transcription factors (lacI) light-controlled, from a construct separated from the main repressilator plasmid. This way, under red light the oscillator runs freely, but exposure to green light causes overexpression of the lacI, pushing the system into a specific state. Consequently, returning to red light will restore the oscillations from the same phase in all cells, effectively synchronizing the cell population.

      After demonstrating the functionality of the basic concept, the authors combined modeling and experiments to show how periodic exposure to green light enables efficient entrainment, and how the frequency of the forcing signal affects the oscillatory behavior (detuning).

      This work provides an important demonstration of engineering tunability into a foundational genetic circuit, expands the synthetic biology toolbox, and provides a platform to address critical questions about synchronization in biological oscillators. Due to the flexibility of the experimental system, it is also expected to provide a fertile ground for future testing of theoretical predictions regarding non-linear oscillators.

      Strengths:

      * The study provides a simple and elegant mechanism for the entertainment of a synthetic oscillator. The design relies on optogenetic proteins, which enable efficient experimentation compared to alternative approaches (like using chemical inducers). This way, a static culture (without microfluidics or change of growth media) can be easily exposed to flexible temporal sequences of the zeitgeber, and continuously measured through time.

      * The study makes use of both plate-reader-based population-level readout and mother-machine single-cell measurements. Synchronization through entrainment is a single cell level phenomenon, but with a clear population-level manifestation. Thus, this experimental approach combination provides a strong validation to their system. At the same time, differences between the readout from the two systems have emerged, and provided a further opportunity for model refinement and testing.

      * The authors correctly identified the main optimization goal, namely the effective leakiness of their construct even under red light. Then, they successfully overcame this issue using synthetic biology approaches.

      * The work is supported by a simplified model of the repressilator, which provides a convenient analytical and numerical means to draw testable predictions. The model predictions are well aligned with the experimental evidence.

      Weaknesses:

      * Even after optimizing the expression level of the light-sensitive gene, the system is very sensitive, i.e., a very short exposure is sufficient to elicit the strongest entertainment. This limited dynamic range might hamper some model testing and future usage.

      * As a result of the previous point, the system is entrained by transiently "breaking" the oscillator: each pulse of green light represents a Hopf bifurcation into a single attractor. it means that the system cannot oscillate in constant green light. In comparison, this is generally not the case for natural zeitgebers like light and temperature for the circadian rhythms. Extreme values might prevent oscillations (not necessarily due to breaking the core oscillator), but usually, free running is possible in a wide range of constant conditions. In some cases, the free-running period length will vary as a function of the constant value.

      While the approach presented in this manuscript is valid, a comprehensive analysis of more subtle modes of repressilator entrainment could also be of value.

      * The entire work makes use of a single intensity and single duration of the green pulse to force entrainment. While the model has clear predictions for how those modalities should affect entrainment, none of the experiments attempted to validate those predictions.

    1. eLife assessment

      This is a valuable contribution to the electric fish community, and to studies of active sensing, in that it provides evidence that a well-studied behavior (chirping) may serve in active sensing rather than communication. This is likely to stimulate follow-up behavioral and physiological studies to determine whether the active sensing component of the behavior is pre-eminent, or whether their major function is communication. For the most part, the evidence for increased chirping in more cluttered environments and the relationship between chirping and movement are convincing. However, the evidence used to argue that chirping does not vary with behavioral context is less so, and the arguments against a communicative function of chirps are not strong. The main conclusions are only supported by correlations and remain for now at the level of an interesting hypothesis to explore.

    2. Reviewer #1 (Public Review):

      The authors investigate the role of chirping in a species of weakly electric fish. They subject the fish to various scenarios and correlate the production of chirps with many different factors. They find major correlations between the background beat signals (continuously present during any social interactions) or some aspects of social and environmental conditions with the propensity to produce different types of chirps. By analyzing more specifically different aspects of these correlations they conclude that chirping patterns are related to navigation purposes and the need to localize the source of the beat signal (i.e. the location of the conspecific).

      The study provides a wealth of interesting observations of behavior and much of this data constitutes a useful dataset to document the patterns of social interactions in these fish. Some data, in particular the high propensity to chirp in cluttered environments, raises interesting questions. Their main hypothesis is a useful addition to the debate on the function of these chirps and is worth considering and exploring further.

      After the initial reviewers' comments, the authors performed a welcome revision of the way the results are presented. Overall the study has been improved by the revision. However, one piece of new data is perplexing to me. The new Figure 7 presents the results of a model analysis of the strength of the EI caused by a second fish to localize when the focal fish is chirping. From my understanding of this type of model, EOD frequency is not a parameter in the model since it evaluates the strength of the field at a given point in time. Therefore the only thing that matters is the phase relationship and strength of the EOD. Assuming that the second fish's EOD is kept constant and the phases relationship is also the same, the only difference during a chirp that could affect the result of the calculation is the potential decrease in EOD amplitude during the chirp. It is indeed logical that if the focal fish decreased its EOD amplitude the target fish's EOD becomes relatively stronger. Where things are harder to understand is why the different types of chirps (e.g. type 1 vs type 2) lead to the same increase in signal even though they are typically associated with different levels of amplitude modulations. Also, it is hard to imagine that a type 2 chirps that is barely associated with any decrease in EOD amplitude (0-10% maybe), would cause doubling of the EI strength. There might be something I don't understand but the authors should provide a lot more details on how this result is obtained and convince us that it makes sense.

    3. Reviewer #2 (Public Review):

      Studying Apteronotus leptorhynchus (the weakly electric brown ghost knifefish), the authors provide evidence that 'chirps' (brief modulations in the frequency and amplitude of the ongoing electric signal) function in active sensing (specifically homeoactive sensing) rather than communication. Chirping is a behavior that has been well studied, including numerous studies on the sensory coding of chirps and the neural mechanisms for chirp generation. Chirps are largely thought to function in communication behavior, so this alternative function is a very exciting possibility that could have a great impact on the field. The authors do provide convincing evidence that chirps may function in homeoactive sensing. However, their evidence arguing against a role for chirps in communication is not as strong, and fails to sufficiently consider the evidence from a large body of existing research. Ultimately, the manuscript presents very interesting data that is sure to stimulate discussion and follow-up studies, but it suffers from dismissing evidence in support of, or consistent with, a communicative function for chirps. The authors do acknowledge that chirps could function as both a communication and homeactive sensing signal, but it seems clear they wish to argue against the former and for the latter, and the evidence is not yet there to support this.

      In the introduction, the authors state, "Since both chirps and positional parameters (such as size, orientation or motion) can only be detected as perturbations of the beat, and via the same electroreceptors, the inputs relaying both types of information are inevitably interfering." I disagree with this statement, which seems to be a key assumption. Both of these features certainly modulate the activity of electroreceptors, but that does not mean those modulations are ambiguous as to their source. You do not know whether the two types of modulations can be unambiguously decoded from electroreceptor afferent population activity.

      My biggest issue with this manuscript is that it is much too strong in dismissing evidence that chirping correlates with context. In your behavioral observations, you found sex differences in chirping as well as differences between freely interacting and physically separated fish. Chirps tended to occur in close proximity to another fish. Your model of chirp variability found that environmental experience, social experience, and beat frequency (DF) are the most important factors explaining chirp variability. Are these not all considered behavioral or social context? Beat frequency (DF) in particular is heavily downplayed as being a part of "context" but it is a crucial part of the context, as it provides information about the identity of the fish you're interacting with. The authors show quite convincingly that the types of chirps produced do not vary with these contexts, but chirp rates do.

      Further, in your playback experiments, fish responded differently to small vs. large DFs, males chirped more than females, type 2 chirps became more frequent throughout a playback, and rises tended to occur at the end of a playback. These are all examples of context-dependent behavior.

      In the results, the authors state, "Overall, the majority of chirps were produced by male subjects, in comparable amounts regardless of environmental experience (resident, intruder or equal; Figure S1A,C), social status (dominant or subordinate; Figure S1B) or social experience (novel or experienced; Figure S1D)." This is not what is shown in Figure S1. S1A shows clear differences between resident vs. intruder males, S1B shows clear differences between dominant vs. subordinate males, and S1D shows clear differences between naïve and experienced males. The analysis shown in Figure 2 would seem to support this. Indeed, the authors state, "Overall, this analysis indicated that environmental and social experience, together with beat frequency (DF) are the most important factors explaining chirp variability."

      The choice of chirp type varied widely between individuals but was relatively consistent within individuals across trials of the same experiment. The authors interpret this to mean that chirping does not vary with internal state, but is it not likely that the internal states of individuals are stable under stable conditions, and that individuals may differ in these internal states across the same conditions? Stable differences in communication signals between individuals are frequently interpreted as reflecting differences between those individuals in certain characteristics, which are being communicated by these signals.

      I am not convinced of the conclusion drawn by the analysis of chirp transitions. The transition matrices show plenty of 1-2 and 2-1 transitions occurring. Further, the cross-correlation analysis only shows that chirp timing between individuals is not phase-locked at these small timescales. It is entirely possible that chirp rates are correlated between interacting individuals, even if their precise timing is not. Further, it is not clear to me how "transitions" were defined. The methods do not make this clear, and it is not clear to me how you can have zero chirp transitions between two individuals when those two individuals are both generating chirps throughout an interaction.

      In the results, "Although all chirp types were used during aggressive interactions, these seemed to be rather less frequent in the immediate surround of the chirps (Figure 6A)." A lack of precise temporal correlation on short timescales does not mean there is no association between the two behaviors. An increased rate of chirping during aggression is still a correlation between the two behaviors, even if chirps and specific aggressive behaviors are not tightly time-locked.

      In summary, it is simply too strong to say that chirping does not correlate with context, or to claim that there is convincing evidence arguing against a communication function of chirps. Importantly, however, this does not detract from your exciting and well-supported hypothesis that chirping functions in homeoactive sensing. A given EOD behavior could serve both communication and homeoactive sensing. I actually suspect this is quite common in electric fish (both gymnotiforms and mormyrids), and perhaps in other actively sensing species such as echolocating animals. The two are not mutually exclusive.

    4. Reviewer #3 (Public Review):

      Summary:

      This important paper provides the best-to-date characterization of chirping in weakly electric fish using a large number of variables. These include environment (free vs divided fish, with or without clutter), breeding state, gender, intruder vs resident, social status, locomotion state and social and environmental experience, without and with playback experiments. It applies state-of-the-art methods for reducing the dimensionality of the data and finding patterns of correlation between different kinds of variables (factor analysis, K-means). The strength of the evidence, collated from a large number of trials with many controls, leads to the conclusion that the traditionally assumed communication function of chirps may be secondary to its role in environmental assessment and exploration that takes social context into account. Based on their extensive analyses, the authors suggest that chirps are mainly used as probes that help detect beats caused by other fish and as well as objects.

      Strengths:

      The work is based on completely novel recordings using interaction chambers. The amount of new data and associated analyses is simply staggering, and yet, well organized in presentation. The study further evaluates the electric field strength around a fish (via modelling with the boundary element method) and how its decay parallels the chirp rate, thereby relating the above variables to electric field geometry.

      The main conclusions are that the lack of any significant behavioural correlates for chirping, and the lack of temporal patterning in chirp time series, cast doubt on a primary communication goal for most chirps. Rather, the key determinants of chirping are the difference frequency between two interacting conspecifics as well as individual subjects' environmental and social experience. The paper concludes that there is a lack of evidence for stereotyped temporal patterning of chirp time series, as well as of sender-receiver chirp transitions beyond the known increase in chirp frequency during an interaction.

      These conclusions by themselves will be very useful to the field. They will also allow scientists working on other "communication" systems to perhaps reconsider and expand the goals of the probes used in those senses. A lot of data are summarized in this paper, with thorough referencing to past work.

      The alternative hypotheses that arise from the work are that chirps are mainly used as environmental probes for better beat detection and processing and object localization, and in this sense are self-directed signals. This led to their prediction that environmental complexity ("clutter") should increase chirp rate, which is fact was revealed by their new experiments. The authors also argue that waveform EODs have less power across high spatial frequencies compared to pulse-type fish, with a resulting relatively impoverished power of resolution. Chirping in wave-type fish could temporarily compensate for the lower frequency resolution while still being able to resolve EOD perturbations with a good temporal definition (which pulse-type fish lack due to low pulse rates).

      The authors also advance the interesting idea that the sinusoidal frequency modulations caused by chirps are the electric fish's solution to the minute (and undetectable by neural wetware) echo-delays available to it, due to the propagation of electric fields at the speed of light in water. The paper provides a number of experimental avenues to pursue in order to validate the non-communication role of chirps.

      Weaknesses:

      My main criticism is that the alternative putative role for chirps as probe signals that optimize beat detection could be better developed. The paper could be clearer as to what that means precisely, especially since beating - and therefore detection of some aspects of beating due to the proximity of a conspecific - most often precedes chirping. One meaning the authors suggest, tentatively, is that the chirps could enhance electrosensory responses to the beat, for example by causing beat phase shifts that remediate blind spots in the electric field of view.

      A second criticism is that the study links the beat detection to underwater object localization. The paper does not significantly develop that line of thought given their data - the authors tread carefully here given the speculative aspect of this link. It is certainly possible that the image on the fish's body of an object in the environment will be slightly modified by introducing a chirp on the waveform, as this may enhance certain heterogeneities of the object in relation to its environment. The thrust of this argument derives mainly from the notion of Fourier analysis with pulse type fish EOD waveforms (see above, and radar theory more generally), where higher temporal frequencies in the beat waveform induced by the chirp will enable a better spatial resolution of objects. It remains to be seen whether experiments can show this to be significant.

    1. I]dj\]cZkZggZaZVhZY^ci]ZViZgh

      why wasn't it released?

    Annotators

    1. we must engage with those at the helm of decision-making, at every level. As individuals

      for - question - leaders - commons movement - citizen movement - SIMACT / SIMPOL

      question - leaders - Is there an untapped potential here to engage NOT JUST WITH LEADERS, - but with individuals and citizens?

    1. Any selective disclosure is potentially ineffective unless per-formed within the confines of a contractually protected disclosure that imposes an incentive onthe disclosee (verifier) to protect that disclosure (counter-incentive against the exploitation ofthat discloser).
    1. She

      I cringe every time I see "she" ... it seems as if "she" is always doing something wrong! suggest "they" (with or without changing investigator to investigators ...

    2. widering

      widering? maybe "widening" or just "wider"? or even "increasing the width of"

    3. in

      "only" in rare ...

    1. where do I start?

      reply to u/rocklover7 at https://www.reddit.com/r/typewriters/comments/1cnljgm/where_do_i_start/

      The best thing you could do is to take a moment at the library or bookshop and pick up a copy of Polt, Richard. The Typewriter Revolution: A Typist’s Companion for the 21st Century. 1st ed. Woodstock, VT: Countryman Press, 2015.

      He looks at typewriters from a writers' writer perspective which I'm sure you'll appreciate. He's got experience with a wide variety of machines as well as a large collection himself. He goes over all of the common/popular (and solid machines) in a variety of sizes and formats to help you figure out which one you might like to start out with. He also covers some of the common problems and repairs that regularly pop up. The book is really a "best of" list of typewriter material from the past 15+ years of this reddit forum and material from the "typosphere" of which he's been not only an active member, but literal ring-leader. The vast majority of the questions which appear on a weekly basis here are discussed and addressed in his book, along with some emphasis on writerly concerns and practice which most beginners here wouldn't be asking. Even reading 3 or 4 of the 8 chapters which are rife with images will give you a solid crash course for exactly the sorts of typewriter (and writing) advice you're searching for.

      Definitely DO NOT pick up a new machine off of Amazon. They're even worse than some of the late 70s/early 80s machines. Instead, for beginners (and for the value) I'd recommend looking at Remingtons (Quiet-Riter), Royals (Quiet De Luxe), or Smith-Coronas (Clipper, Silent, Super) from roughly 1948-1958 which is generally the peak of U.S. typewriter manufacturing as well as for features. These were all built like tanks and are usually still in very good condition, even when they're in bad condition. I've provided links to some of these models in the typewriter database, so you have an idea visually of what to look out for.

      If desperate, and you live in an area where machines are priced starting over $50 or you're more price sensitive (making eBay, Facebook Marketplace or Craigslist less appealing), you can find some of these every day listed at shopgoodwill.com starting at $10. Even with heaving bidding on auctions, these usually don't go over $35 (except for some of the Smith-Coronas). I've even seen them (sadly) not move at all for $10. This would give you an incredibly solid and inexpensive machine to tinker on, and will most likely work for you out of the box (as long as it's got a ribbon.) You'll end up with a solid machine to start off on while you search for your dream machine. It'll also give you some experience cleaning up and maintaining one. Of the seven machines I've gotten this way and paid an average of about $30-35 each (all in with shipping, tax, etc.) All but one were all immediately usable and only needed moderate cleaning that one could do at home with a cloth, dish soap, a toothbrush and maybe some canned air. Two of the seven were in near mint condition and didn't need any work at all. Tag/garage sales are also inexpensive options that usually allow you test out a machine, but it requires some shoe leather and lots of patience. If you've got a favorite author you love and trust, you might try searching out their machines: https://site.xavier.edu/polt/typewriters/typers.html

      If there are any type-ins in your local area, try to go so you can not only meet others, but it might give you a chance to see and try out the machines of others to see what might suit you best.

      Happiness and best wishes on your search!

    1. I like writers who aren't afraid of thinking out loud on the page and sharing bits of themselves that might present as awkward or uncooked.

      Note to noggin: Remember this.

      I'm guilty of holding back sometimes. Or writing too blandly like I'm in front of an audience. An old habit.

      What is it that makes me write like this sometimes? Insecurity? Imposter syndrome? Or being lazy?

      Note to self: Write for yourself as if in your journal. Forget the world, just write.

    1. The extent of this ionization will depend on AH+AH+A_{H^+} according to Kion=[BH+]AH+[B]

      I think there is a mistake.

    2. pH used to describe the acidity of aqueous solutions but instead refers to the pure acid:

      pH define for aqueous solutions but Hamett acidity function is for pure acid..and all other things are same.

    1. file: : ローカルにあるテキストファイルのパスを _toc.yml ファイルからの相対パスで指定します。 glob: : glob モジュール [1] に従ったパターンを指定します。 url: : ウェブサイトのリンクを指定します。

      箇条書きにした方が見やすいです。

    2. ルートページ(最初のページ)

      「最初のページ(以降ルートページ)」という表現の方が分かりやすいと思います。

    3. ブックの構造は目次ファイルで決まります。目次ファイルは _toc.yml というYAMLファイルで作成し、このファイルに記述された順序や階層に従ってブックが作成されます。

      _toc.yml の公式ドキュメントへのリンクがあると親切だと思います。

    1. four categories

      I think these are the program management outcomes

    2. An event with the ability to impact (inhibit, enhance or cause doubt about) the effectiveness andefficiency of the core processes of an organization

      The book's definition of risk

    Annotators

    1. I wish you way more than luck

      S: David Foster Wallace O: 2005 Kenyon Commencement Address A: Keyon graduates P: to emphasize the freedom we have in our way of life, thinking and perspectives S: various advice and reflection on life Tone: reflective, critical, inspiring

    2. I know that this stuff probably doesn't sound fun and breezy or grandlyinspirational the way a commencement speech is supposed to sound

      Close to addressing rebuttals/criticism, shows critical thinking

    3. That is real freedom

      Change in sentence structure -> short sentences change flow and draw emphasis

    4. all different kinds offreedom

      Similar to the different kinds of values and perspectives, as he's mentioned previously

    5. Worship power, you will end up feeling weak and afraid, and you willneed ever more power over others to numb you to your own fear

      Shows the dark side/negatives of each trait -> no life track is the "right" one

    6. there is actually no such thing as atheism. There isno such thing as not worshipping. Everybody worships. The only choicewe get is what to worship

      partly ethos appeal by bringing up higher powers who, in this argument, all people worship and respect, thus unifies him and his audience

    7. The only thing that'scapital-T True is that you get to decide how you're gonna try to see it

      Uses very simple language towards a younger but still educated audience - depicts his "rejection" of traditional education and life, gives his audience a break from the complicated information/assignments they're used to, and makes him more relatable and the info easier to digest

    8. likelihood that everyoneelse in the supermarket's checkout line is just as bored and frustrated as Iam, and that some of these people probably have harder, more tediousand painful lives than I do

      Interesting hearing all this because I quite like the supermarket and doing errands, even on my busiest of days

    9. In this traffic, all these vehicles stopped andidling in my way, it's not impossible that some of these people in SUV'shave been in horrible auto accidents in the past

      These are both sides of very extreme examples -> adds to logos so audience is able to reason with middle ground (his argument) more

    1. もう一度、「Content with notebooks」を確認します。コード実行時のエラーはなくなり、Matplotlibによるグラフが描画されています。

      JupyterBookを使用していて同様のエラーに遭遇して解決できずにいました。この解決方法の参考にされたブログなどはありますか?

    1. f, height, abdomen

      ? plot title? Predicted Fat Fraction based on Height and Abdominal Circumference given Age = 43 ??

    1. Retention

      comparison between the amount of risk transferred via insurance vs the amount of risk retained

      risk retention is inversely related to the cost of risk insurance

    2. Theyintroduce a twin‐tier approach with a first tier being the correlation of cyber risks within a firm(e.g., correlated failure of multiple systems on its internal network). The second tier refers tothe correlation at a global level meaning correlation across independent firms in an insurer'sportfolio. Local cyber loss events such as an insider attack (high internal, low global correla-tion) are easier to insure than global loss events because the necessary premium for global lossevents would be extremely high due to the lack of diversification opportunities.

      Internal: stuff that goes wrong within a firm

      External: stuff that goes wrong that effects a firm's clients and third parties (I think??)

    3. actuarial

      statistics, particularly relating to insurance

    4. Transfer

      This part is very heavy on the use of cyber insurance It goes into a lot insurance stuff that kinda just went over my head

    5. Mitigation

      Proactively mitigate risk by analyzing main security concerns and how to satisfy them

      Also goes into detail on how to properly invest in information security by comparing each investment with the value of the risk (I still don't understand how this is done)

    6. four security issues (“access to informationsystems, secure communication, security management, and development of secure informationsystems”) and related techniques (password and biometrical authentication; cryptographictechniques; key management, virtual private networks, and programming language security)

      Technical mitigations defined by established security considerations and their associated techniques

    7. Parkerian hexad

      Like the CIA triad but more detailed, containing 6 pillars as opposed to the original 3

    8. Avoidance

      Avoiding risk wherever possible This treatment is not as relevant today because it isn't resilient-focused (I think)

      They use the example of requiring security policies of IoT devices bc they're usually cheap They also say that this example could be under mitigation

    9. The estimated likelihood and potential impact are used to determine the appropriate treatment,which includes avoidance, mitigation to reduce likelihood and/or potential impact, transfer, andretention.

      The proper treatment for a cyber incident is determined by: the likelihood of the event the potential impact of said event

      The three types of treatments are: Avoidance Mitigation to reduce likelihood/potential impacy Transfer Retention

    10. One way to classify and identify cyberattacks is whether they affect the “con-fidentiality, availability or integrity of information or information systems”

      The CIA triad

    11. This section summarizes, in chronological order, the discussions surrounding cybersecurity issues inthe early days and how cyber risk was eventually identified as one of the major risk categories facingorganizations

      gives historical account of how cyber risks have been identified

    Annotators

  2. classroom.google.com classroom.google.com
    1. Nolan Grimes has forced me to write everything

    1. Biolegend, catalogue #505022

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 505022, RRID:AB_2563240)

      Curator: @abever99

      SciCrunch record: RRID:AB_2563240


      What is this?

    2. BioLegend, catalogue # 505826

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 505826, RRID:AB_2295770)

      Curator: @abever99

      SciCrunch record: RRID:AB_2295770


      What is this?

    3. BioLegend, catalogue #515403

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 515403, RRID:AB_2114575)

      Curator: @abever99

      SciCrunch record: RRID:AB_2114575


      What is this?

    4. BioLegend, catalogue #154304

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 154304, RRID:AB_2721463)

      Curator: @abever99

      SciCrunch record: RRID:AB_2721463


      What is this?

    5. BioLegend, catalogue #506322

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 506322, RRID:AB_961434)

      Curator: @abever99

      SciCrunch record: RRID:AB_961434


      What is this?

    6. BioLegend, catalogue #504508

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 504508, RRID:AB_10694868)

      Curator: @abever99

      SciCrunch record: RRID:AB_10694868


      What is this?

    7. BioLegend, catalogue #135214

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 135214, RRID:AB_10680238)

      Curator: @abever99

      SciCrunch record: RRID:AB_10680238


      What is this?

    8. BD Biosciences, catalogue #741926

      DOI: 10.1101/2024.01.23.576951

      Resource: (BD Biosciences Cat# 741926, RRID:AB_2871239)

      Curator: @abever99

      SciCrunch record: RRID:AB_2871239


      What is this?

    9. Biolegend, catalogue #109246

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 109246, RRID:AB_2629697)

      Curator: @abever99

      SciCrunch record: RRID:AB_2629697


      What is this?

    10. Biolegend catalogue #100240

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 100240, RRID:AB_2563427)

      Curator: @abever99

      SciCrunch record: RRID:AB_2563427


      What is this?

    11. BioLegend catalogue #101222

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 101222, RRID:AB_493705)

      Curator: @abever99

      SciCrunch record: RRID:AB_493705


      What is this?

    12. BioLegend catalogue # 123130

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 123130, RRID:AB_2293450)

      Curator: @abever99

      SciCrunch record: RRID:AB_2293450


      What is this?

    13. BioLegend catalogue #103232

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 103232, RRID:AB_493717)

      Curator: @abever99

      SciCrunch record: RRID:AB_493717


      What is this?

    14. BioLegend, catalogue #100749

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 100749, RRID:AB_11218801)

      Curator: @abever99

      SciCrunch record: RRID:AB_11218801


      What is this?

    15. BioLegend, catalogue #117339

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 117339, RRID:AB_2562414)

      Curator: @abever99

      SciCrunch record: RRID:AB_2562414


      What is this?

    16. BioLegend, catalogue #107635

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 107635, RRID:AB_2561397)

      Curator: @abever99

      SciCrunch record: RRID:AB_2561397


      What is this?

    17. BioLegend, catalogue #109222

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 109222, RRID:AB_893625)

      Curator: @abever99

      SciCrunch record: RRID:AB_893625


      What is this?

    18. Biolegend, catalogue #101224

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 101224, RRID:AB_755986)

      Curator: @abever99

      SciCrunch record: RRID:AB_755986


      What is this?

    19. BioLegend, catalogue #123108

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 123108, RRID:AB_893502)

      Curator: @abever99

      SciCrunch record: RRID:AB_893502


      What is this?

    20. BioLegend, catalogue #152406,

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 152406, RRID:AB_2629815)

      Curator: @abever99

      SciCrunch record: RRID:AB_2629815


      What is this?

    21. BioLegend, catalogue #100206,

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 100206, RRID:AB_312663)

      Curator: @abever99

      SciCrunch record: RRID:AB_312663


      What is this?

    22. BioLegend, catalogue #128026

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 128026, RRID:AB_10640120)

      Curator: @abever99

      SciCrunch record: RRID:AB_10640120


      What is this?

    23. BioLegend, catalogue #100547

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 100548, RRID:AB_2563054)

      Curator: @abever99

      SciCrunch record: RRID:AB_2563054


      What is this?

    24. BD Biosciences, catalogue #561236

      DOI: 10.1101/2024.01.23.576951

      Resource: (BD Biosciences Cat# 561236, RRID:AB_10611860)

      Curator: @abever99

      SciCrunch record: RRID:AB_10611860


      What is this?

    25. BioLegend, catalogue #103128

      DOI: 10.1101/2024.01.23.576951

      Resource: (BioLegend Cat# 103128, RRID:AB_493715)

      Curator: @abever99

      SciCrunch record: RRID:AB_493715


      What is this?

    26. 034159

      DOI: 10.1101/2024.01.23.576951

      Resource: RRID:IMSR_JAX:034159

      Curator: @abever99

      SciCrunch record: RRID:IMSR_JAX:034159


      What is this?

    27. 008766

      DOI: 10.1101/2024.01.23.576951

      Resource: (IMSR Cat# JAX_008766,RRID:IMSR_JAX:008766)

      Curator: @abever99

      SciCrunch record: RRID:IMSR_JAX:008766


      What is this?

    28. Jackson Laboratories: C57BL/6J (strain code: #000664

      DOI: 10.1101/2024.01.23.576951

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

      Curator: @abever99

      SciCrunch record: RRID:IMSR_JAX:000664


      What is this?

    29. 028

      DOI: 10.1101/2024.01.23.576951

      Resource: (IMSR Cat# CRL_028,RRID:IMSR_CRL:028)

      Curator: @abever99

      SciCrunch record: RRID:IMSR_CRL:028


      What is this?

    1. BD BiosciencesRRID556653

      DOI: 10.1016/j.scr.2024.103437

      Resource: (BD Biosciences Cat# 556653, RRID:AB_396517)

      Curator: @abever99

      SciCrunch record: RRID:AB_396517


      What is this?

    2. BD BiosciencesRRID 557145

      DOI: 10.1016/j.scr.2024.103437

      Resource: (BD Biosciences Cat# 557145, RRID:AB_2292652)

      Curator: @abever99

      SciCrunch record: RRID:AB_2292652


      What is this?

    1. 20543–1-AP

      DOI: 10.1016/j.bbadis.2024.167214

      Resource: (Proteintech Cat# 20543-1-AP, RRID:AB_11232216)

      Curator: @abever99

      SciCrunch record: RRID:AB_11232216


      What is this?

    2. A1483

      DOI: 10.1016/j.bbadis.2024.167214

      Resource: (ABclonal Cat# A1483, RRID:AB_2761709)

      Curator: @abever99

      SciCrunch record: RRID:AB_2761709


      What is this?

    3. GTX116651

      DOI: 10.1016/j.bbadis.2024.167214

      Resource: (GeneTex Cat# GTX116651, RRID:AB_10615515)

      Curator: @abever99

      SciCrunch record: RRID:AB_10615515


      What is this?

    4. ab129453

      DOI: 10.1016/j.bbadis.2024.167214

      Resource: (Abcam Cat# ab129453, RRID:AB_11154767)

      Curator: @abever99

      SciCrunch record: RRID:AB_11154767


      What is this?

    1. Miltenyi BiotecCat# 130-049-601

      DOI: 10.1016/j.xcrm.2024.101550

      Resource: (Miltenyi Biotec Cat# 130-049-601, RRID:AB_2927377)

      Curator: @abever99

      SciCrunch record: RRID:AB_2927377


      What is this?

    2. Miltenyi BiotecCat# 130-045-201

      DOI: 10.1016/j.xcrm.2024.101550

      Resource: (Miltenyi Biotec Cat# 130-045-201, RRID:AB_2889920)

      Curator: @abever99

      SciCrunch record: RRID:AB_2889920


      What is this?

    1. Addgene Cat# 12259

      DOI: 10.1016/j.celrep.2024.114211

      Resource: RRID:Addgene_12259

      Curator: @abever99

      SciCrunch record: RRID:Addgene_12259


      What is this?

    2. Addgene Cat# 12260

      DOI: 10.1016/j.celrep.2024.114211

      Resource: RRID:Addgene_12260

      Curator: @abever99

      SciCrunch record: RRID:Addgene_12260


      What is this?

    3. Addgene Cat# 17446

      DOI: 10.1016/j.celrep.2024.114211

      Resource: RRID:Addgene_17446

      Curator: @abever99

      SciCrunch record: RRID:Addgene_17446


      What is this?

    4. Addgene Cat# 16011

      DOI: 10.1016/j.celrep.2024.114211

      Resource: RRID:Addgene_16011

      Curator: @abever99

      SciCrunch record: RRID:Addgene_16011


      What is this?

    5. Addgene Cat# 52962

      DOI: 10.1016/j.celrep.2024.114211

      Resource: RRID:Addgene_52962

      Curator: @abever99

      SciCrunch record: RRID:Addgene_52962


      What is this?

    6. Addgene Cat# 104375

      DOI: 10.1016/j.celrep.2024.114211

      Resource: RRID:Addgene_104375

      Curator: @abever99

      SciCrunch record: RRID:Addgene_104375


      What is this?

    7. JCRB1195

      DOI: 10.1016/j.celrep.2024.114211

      Resource: (JCRB Cat# JCRB1195, RRID:CVCL_2996)

      Curator: @abever99

      SciCrunch record: RRID:CVCL_2996


      What is this?

    8. JCRB1187

      DOI: 10.1016/j.celrep.2024.114211

      Resource: (JCRB Cat# JCRB1187, RRID:CVCL_2992)

      Curator: @abever99

      SciCrunch record: RRID:CVCL_2992


      What is this?

    9. JCRB1179

      DOI: 10.1016/j.celrep.2024.114211

      Resource: (JCRB Cat# JCRB1179, RRID:CVCL_2989)

      Curator: @abever99

      SciCrunch record: RRID:CVCL_2989


      What is this?

    10. CRL-2974

      DOI: 10.1016/j.celrep.2024.114211

      Resource: (IZSLER Cat# BS TCL 237, RRID:CVCL_8792)

      Curator: @abever99

      SciCrunch record: RRID:CVCL_8792


      What is this?

    1. WA01

      DOI: 10.1016/j.stem.2024.04.012

      Resource: (RRID:CVCL_9771)

      Curator: @abever99

      SciCrunch record: RRID:CVCL_9771


      What is this?

    2. Addgene,Cat#12259

      DOI: 10.1016/j.stem.2024.04.012

      Resource: RRID:Addgene_12259

      Curator: @abever99

      SciCrunch record: RRID:Addgene_12259


      What is this?

    3. Addgene,Cat#12260

      DOI: 10.1016/j.stem.2024.04.012

      Resource: RRID:Addgene_12260

      Curator: @abever99

      SciCrunch record: RRID:Addgene_12260


      What is this?

    1. RRID:SCR_000432

      DOI: 10.1016/j.cub.2024.04.039

      Resource: RStudio (RRID:SCR_000432)

      Curator: @abever99

      SciCrunch record: RRID:SCR_000432


      What is this?

    2. RRID: SCR_001622

      DOI: 10.1016/j.cub.2024.04.039

      Resource: MATLAB (RRID:SCR_001622)

      Curator: @abever99

      SciCrunch record: RRID:SCR_001622


      What is this?

    1. CCL-2

      DOI: 10.1016/j.molcel.2024.04.010

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

      Curator: @abever99

      SciCrunch record: RRID:CVCL_0030


      What is this?

    2. CRL-3249

      DOI: 10.1016/j.molcel.2024.04.010

      Resource: (ATCC Cat# CRL-3249, RRID:CVCL_AQ26)

      Curator: @abever99

      SciCrunch record: RRID:CVCL_AQ26


      What is this?

    3. CRL-3216

      DOI: 10.1016/j.molcel.2024.04.010

      Resource: (CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)

      Curator: @abever99

      SciCrunch record: RRID:CVCL_0063


      What is this?

    1. RRID:IMSR_JAX:002120

      DOI: 10.1016/j.immuni.2024.04.014

      Resource: (IMSR Cat# JAX_002120,RRID:IMSR_JAX:002120)

      Curator: @abever99

      SciCrunch record: RRID:IMSR_JAX:002120


      What is this?

    2. AddgeneCat# 80795

      DOI: 10.1016/j.immuni.2024.04.014

      Resource: RRID:Addgene_80795

      Curator: @abever99

      SciCrunch record: RRID:Addgene_80795


      What is this?

    3. AddgeneCat# 80796

      DOI: 10.1016/j.immuni.2024.04.014

      Resource: RRID:Addgene_80796

      Curator: @abever99

      SciCrunch record: RRID:Addgene_80796


      What is this?

  3. febs.onlinelibrary.wiley.com febs.onlinelibrary.wiley.com
    1. RRID: CVCL_0031

      DOI: 10.1111/febs.17145

      Resource: (NCI-DTP Cat# MCF7, RRID:CVCL_0031)

      Curator: @AniH

      SciCrunch record: RRID:CVCL_0031


      What is this?

    1. Addgene_112865

      DOI: 10.1016/j.isci.2024.109878

      Resource: RRID:Addgene_112865

      Curator: @AniH

      SciCrunch record: RRID:Addgene_112865


      What is this?

    2. Addgene_131000

      DOI: 10.1016/j.isci.2024.109878

      Resource: Addgene_131000

      Curator: @AniH

      SciCrunch record: RRID:Addgene_131000


      What is this?

    3. Addgene_99133

      DOI: 10.1016/j.isci.2024.109878

      Resource: RRID:Addgene_99133

      Curator: @AniH

      SciCrunch record: RRID:Addgene_99133


      What is this?

    4. Addgene_50460

      DOI: 10.1016/j.isci.2024.109878

      Resource: RRID:Addgene_50460

      Curator: @AniH

      SciCrunch record: RRID:Addgene_50460


      What is this?

    5. Addgene_70717

      DOI: 10.1016/j.isci.2024.109878

      Resource: RRID:Addgene_70717

      Curator: @AniH

      SciCrunch record: RRID:Addgene_70717


      What is this?

    6. Addgene_99131

      DOI: 10.1016/j.isci.2024.109878

      Resource: Addgene_99131

      Curator: @AniH

      SciCrunch record: RRID:Addgene_99131


      What is this?

    1. RRID:SCR_000432

      DOI: 10.1158/1055-9965.epi-24-0017

      Resource: RStudio (RRID:SCR_000432)

      Curator: @AniH

      SciCrunch record: RRID:SCR_000432


      What is this?

    1. RRID

      DOI: 10.1016/j.isci.2024.109870

      Resource: (Thermo Fisher Scientific Cat# MA5-42394, RRID:AB_2911535)

      Curator: @AniH

      SciCrunch record: RRID:AB_2911535


      What is this?

    2. RRID

      DOI: 10.1016/j.isci.2024.109870

      Resource: AB_2914710

      Curator: @AniH

      SciCrunch record: RRID:AB_2914710


      What is this?

    3. RRID

      DOI: 10.1016/j.isci.2024.109870

      Resource: AB_2271453

      Curator: @AniH

      SciCrunch record: RRID:AB_2271453


      What is this?

    4. RRID

      DOI: 10.1016/j.isci.2024.109870

      Resource: (Thermo Fisher Scientific Cat# A301-797A-M (also A301-797A-T), RRID:AB_2780130)

      Curator: @AniH

      SciCrunch record: RRID:AB_2780130


      What is this?

    5. RRID

      DOI: 10.1016/j.isci.2024.109870

      Resource: AB_2809579

      Curator: @AniH

      SciCrunch record: RRID:AB_2809579


      What is this?

    6. RRID

      DOI: 10.1016/j.isci.2024.109870

      Resource: AB_2897578

      Curator: @AniH

      SciCrunch record: RRID:AB_2897578


      What is this?

    7. RRID

      DOI: 10.1016/j.isci.2024.109870

      Resource: (Thermo Fisher Scientific Cat# PA1-28838, RRID:AB_2111904)

      Curator: @AniH

      SciCrunch record: RRID:AB_2111904


      What is this?

    1. RRID:  Addgene_12259

      DOI: 10.1016/j.isci.2024.109869

      Resource: RRID:Addgene_12259

      Curator: @AniH

      SciCrunch record: RRID:Addgene_12259


      What is this?

    2. RRID: Addgene_12260

      DOI: 10.1016/j.isci.2024.109869

      Resource: RRID:Addgene_12260

      Curator: @AniH

      SciCrunch record: RRID:Addgene_12260


      What is this?

    3. RRID: Addgene_8453

      DOI: 10.1016/j.isci.2024.109869

      Resource: RRID:Addgene_8453

      Curator: @AniH

      SciCrunch record: RRID:Addgene_8453


      What is this?

    1. RStudio

      DOI: 10.1101/2024.05.02.592220

      Resource: RStudio (RRID:SCR_000432)

      Curator: @AniH

      SciCrunch record: RRID:SCR_000432


      What is this?

    2. Matlab

      DOI: 10.1101/2024.05.02.592220

      Resource: MATLAB (RRID:SCR_001622)

      Curator: @AniH

      SciCrunch record: RRID:SCR_001622


      What is this?

    3. SPM12

      DOI: 10.1101/2024.05.02.592220

      Resource: SPM (RRID:SCR_007037)

      Curator: @AniH

      SciCrunch record: RRID:SCR_007037


      What is this?

    1. RRID: 155 AB_2734779

      DOI: 10.1152/ajpcell.00129.2024

      Resource: (BD Biosciences Cat# 565411, RRID:AB_2734779)

      Curator: @AniH

      SciCrunch record: RRID:AB_2734779


      What is this?

    2. RRID: AB_2890995

      DOI: 10.1152/ajpcell.00129.2024

      Resource: (Proteintech Cat# SA00001-1-A, RRID:AB_2890995)

      Curator: @AniH

      SciCrunch record: RRID:AB_2890995


      What is this?

    3. RRID: AB_2904302

      DOI: 10.1152/ajpcell.00129.2024

      Resource: (BioLegend Cat# 158601 (also 158602), RRID:AB_2904302)

      Curator: @AniH

      SciCrunch record: RRID:AB_2904302


      What is this?

    4. RRID:AB_11156672

      DOI: 10.1152/ajpcell.00129.2024

      Resource: (Abcam Cat# ab130805, RRID:AB_11156672)

      Curator: @AniH

      SciCrunch record: RRID:AB_11156672


      What is this?

    5. RRID:AB_1074849

      DOI: 10.1152/ajpcell.00129.2024

      Resource: (Thermo Fisher Scientific Cat# MA1-35461, RRID:AB_1074849)

      Curator: @AniH

      SciCrunch record: RRID:AB_1074849


      What is this?

    6. RRID: AB_395052

      DOI: 10.1152/ajpcell.00129.2024

      Resource: AB_395052

      Curator: @AniH

      SciCrunch record: RRID: AB_395052


      What is this?

    7. RRID: AB_395050

      DOI: 10.1152/ajpcell.00129.2024

      Resource: AB_395050

      Curator: @AniH

      SciCrunch record: RRID: AB_395050


      What is this?

    8. RRID: AB_1727506

      DOI: 10.1152/ajpcell.00129.2024

      Resource: (BD Biosciences Cat# 560689, RRID:AB_1727506)

      Curator: @AniH

      SciCrunch record: RRID:AB_1727506


      What is this?

    9. RRID:AB_394206

      DOI: 10.1152/ajpcell.00129.2024

      Resource: (BD Biosciences Cat# 551459, RRID:AB_394206)

      Curator: @AniH

      SciCrunch record: RRID:AB_394206


      What is this?

    10. RRID: AB_2890995

      DOI: 10.1152/ajpcell.00129.2024

      Resource: (Proteintech Cat# SA00001-1-A, RRID:AB_2890995)

      Curator: @AniH

      SciCrunch record: RRID:AB_2890995


      What is this?

    1. RRID:AB_224233

      DOI: 10.1152/ajpcell.00718.2023

      Resource: AB_224233

      Curator: @AniH

      SciCrunch record: RRID:AB_224233


      What is this?

    2. RRID:AB_56105

      DOI: 10.1152/ajpcell.00718.2023

      Resource: AB_56105

      Curator: @AniH

      SciCrunch record: RRID:AB_56105


      What is this?

    3. RID:AB_2116390

      DOI: 10.1152/ajpcell.00718.2023

      Resource: (Cell Signaling Technology Cat# 3891, RRID:AB_2116390)

      Curator: @AniH

      SciCrunch record: RRID:AB_2116390


      What is this?

    4. RRID:AB_329830

      DOI: 10.1152/ajpcell.00718.2023

      Resource: (Cell Signaling Technology Cat# 9331, RRID:AB_329830)

      Curator: @AniH

      SciCrunch record: RRID:AB_329830


      What is this?

    5. RRID:AB_915783

      DOI: 10.1152/ajpcell.00718.2023

      Resource: (Cell Signaling Technology Cat# 4691, RRID:AB_915783)

      Curator: @AniH

      SciCrunch record: RRID:AB_915783


      What is this?

    6. RRID:AB_329825

      DOI: 10.1152/ajpcell.00718.2023

      Resource: (Cell Signaling Technology Cat# 9271, RRID:AB_329825)

      Curator: @AniH

      SciCrunch record: RRID:AB_329825


      What is this?

    7. RID:AB_2157444

      DOI: 10.1152/ajpcell.00718.2023

      Resource: (Proteintech Cat# 12175-1-AP, RRID:AB_2157444)

      Curator: @AniH

      SciCrunch record: RRID:AB_2157444


      What is this?

    8. RRID:AB_222021

      DOI: 10.1152/ajpcell.00718.2023

      Resource: AB_222021

      Curator: @AniH

      SciCrunch record: RRID:AB_222021


      What is this?

    9. RRID:AB_221939

      DOI: 10.1152/ajpcell.00718.2023

      Resource: AB_221939

      Curator: @AniH

      SciCrunch record: RRID:AB_221939


      What is this?

    10. RRID:AB_2687505

      DOI: 10.1152/ajpcell.00718.2023

      Resource: (Cell Signaling Technology Cat# 11818, RRID:AB_2687505)

      Curator: @AniH

      SciCrunch record: RRID:AB_2687505


      What is this?

    11. RID:AB_790551

      DOI: 10.1152/ajpcell.00718.2023

      Resource: AB_790551

      Curator: @AniH

      SciCrunch record: RRID:AB_790551


      What is this?

    12. RID:AB_439680

      DOI: 10.1152/ajpcell.00718.2023

      Resource: (Sigma-Aldrich Cat# C3956, RRID:AB_439680)

      Curator: @AniH

      SciCrunch record: RRID:AB_439680


      What is this?

    13. RRID:CVCL_0385

      DOI: 10.1152/ajpcell.00718.2023

      Resource: (JCRB Cat# IFO50364, RRID:CVCL_0385)

      Curator: @AniH

      SciCrunch record: RRID:CVCL_0385


      What is this?

    1. RRID: AB_2336171

      DOI: 10.1152/ajpregu.00295.2023

      Resource: (Vector Laboratories Cat# BA-9200, RRID:AB_2336171)

      Curator: @AniH

      SciCrunch record: RRID:AB_2336171


      What is this?

    2. RRID: AB_2571561

      DOI: 10.1152/ajpregu.00295.2023

      Resource: (EnCor Biotechnology Cat# MCA-2H2, RRID:AB_2571561)

      Curator: @AniH

      SciCrunch record: RRID:AB_2571561


      What is this?

    3. RRID: AB_2336819

      DOI: 10.1152/ajpregu.00295.2023

      Resource: AB_2336819

      Curator: @AniH

      SciCrunch record: RRID: AB_2336819


      What is this?

    4. RRID: AB_231440

      DOI: 10.1152/ajpregu.00295.2023

      Resource: AB_231440

      Curator: @AniH

      SciCrunch record: RRID:AB_231440


      What is this?

    5. RRID: AB_2313606

      DOI: 10.1152/ajpregu.00295.2023

      Resource: (Vector Laboratories Cat# BA-1000, RRID:AB_2313606)

      Curator: @AniH

      SciCrunch record: RRID:AB_2313606


      What is this?

    6. RRID: AB_2336615

      DOI: 10.1152/ajpregu.00295.2023

      Resource: (Vector Laboratories Cat# S-1000, RRID:AB_2336615)

      Curator: @AniH

      SciCrunch record: RRID:AB_2336615


      What is this?

    7. RID: AB_2336231

      DOI: 10.1152/ajpregu.00295.2023

      Resource: (Vector Laboratories Cat# SP-2001, RRID:AB_2336231)

      Curator: @AniH

      SciCrunch record: RRID:AB_2336231


      What is this?

    1. RRID:AB 2889230

      DOI: 10.1158/2767-9764.crc-23-0546

      Resource: (Abcam Cat# ab203457, RRID:AB_2889230)

      Curator: @AniH

      SciCrunch record: RRID:AB_2889230


      What is this?

    1. RRID:AB_2794298

      DOI: 10.1016/j.isci.2024.109719

      Resource: (SouthernBiotech Cat# 1030-09S, RRID:AB_2794298)

      Curator: @evieth

      SciCrunch record: RRID:AB_2794298


      What is this?

    1. Addgene90234

      DOI: 10.1016/j.isci.2024.109718

      Resource: RRID:Addgene_90234

      Curator: @evieth

      SciCrunch record: RRID:Addgene_90234


      What is this?

    2. Addgene12259

      DOI: 10.1016/j.isci.2024.109718

      Resource: RRID:Addgene_12259

      Curator: @evieth

      SciCrunch record: RRID:Addgene_12259


      What is this?

    3. Addgene12253

      DOI: 10.1016/j.isci.2024.109718

      Resource: RRID:Addgene_12253

      Curator: @evieth

      SciCrunch record: RRID:Addgene_12253


      What is this?

    4. Addgene12251

      DOI: 10.1016/j.isci.2024.109718

      Resource: RRID:Addgene_12251

      Curator: @evieth

      SciCrunch record: RRID:Addgene_12251


      What is this?

    5. Addgene90234

      DOI: 10.1016/j.isci.2024.109718

      Resource: RRID:Addgene_90234

      Curator: @evieth

      SciCrunch record: RRID:Addgene_90234


      What is this?

    6. The Jackson Laboratory014602

      DOI: 10.1016/j.isci.2024.109718

      Resource: (IMSR Cat# JAX_014602,RRID:IMSR_JAX:014602)

      Curator: @evieth

      SciCrunch record: RRID:IMSR_JAX:014602


      What is this?

    7. The Jackson Laboratory007676

      DOI: 10.1016/j.isci.2024.109718

      Resource: (IMSR Cat# JAX_007676,RRID:IMSR_JAX:007676)

      Curator: @evieth

      SciCrunch record: RRID:IMSR_JAX:007676


      What is this?

    1. CCL-2

      DOI: 10.1016/j.isci.2024.109777

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

      Curator: @evieth

      SciCrunch record: RRID:CVCL_0030


      What is this?

    2. CRL-3216

      DOI: 10.1016/j.isci.2024.109777

      Resource: (CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)

      Curator: @evieth

      SciCrunch record: RRID:CVCL_0063


      What is this?

    1. HTB-132

      DOI: 10.1016/j.isci.2024.109750

      Resource: (DSMZ Cat# ACC-738, RRID:CVCL_0419)

      Curator: @evieth

      SciCrunch record: RRID:CVCL_0419


      What is this?

    2. HTB-77

      DOI: 10.1016/j.isci.2024.109750

      Resource: (CLS Cat# 300342/p657_SK-OV-3, RRID:CVCL_0532)

      Curator: @evieth

      SciCrunch record: RRID:CVCL_0532


      What is this?

    1. 91640

      DOI: 10.1016/j.celrep.2024.114190

      Resource: RRID:BDSC_91640

      Curator: @abever99

      SciCrunch record: RRID:BDSC_91640


      What is this?

    2. 64085

      DOI: 10.1016/j.celrep.2024.114190

      Resource: (BDSC Cat# 64085,RRID:BDSC_64085)

      Curator: @abever99

      SciCrunch record: RRID:BDSC_64085


      What is this?

    3. 36327

      DOI: 10.1016/j.celrep.2024.114190

      Resource: (BDSC Cat# 36327,RRID:BDSC_36327)

      Curator: @abever99

      SciCrunch record: RRID:BDSC_36327


      What is this?

    4. 52869

      DOI: 10.1016/j.celrep.2024.114190

      Resource: (BDSC Cat# 52869,RRID:BDSC_52869)

      Curator: @abever99

      SciCrunch record: RRID:BDSC_52869


      What is this?

    5. 49211

      DOI: 10.1016/j.celrep.2024.114190

      Resource: (BDSC Cat# 49211,RRID:BDSC_49211)

      Curator: @abever99

      SciCrunch record: RRID:BDSC_49211


      What is this?

    6. 64349

      DOI: 10.1016/j.celrep.2024.114190

      Resource: (BDSC Cat# 64349,RRID:BDSC_64349)

      Curator: @abever99

      SciCrunch record: RRID:BDSC_64349


      What is this?