Evaluated articles

eLife Assessment

This useful study has demonstrated that MORC2 undergoes phase separation in cells and established multiple interactions responsible for the phase separation. While the characterizations of protein-protein and protein-DNA interactions are solid, there is currently incomplete evidence supporting the claim that MORC2 phase separation contributes to the gene regulatory role of MORC2 in cells. With a stronger link between MORC2 phase separation and cellular function, and further analysis of how disease-linked mutations impact condensation propensity, this study would be of significant interest to biophysicists and molecular biologists working on the role of condensates in gene regulation.

eLife Assessment

This fundamental work substantially advances our understanding of tissue deformation and growth patterns during the earliest stages of mammalian heart development. One of the strengths of the work is the compelling quantitative approach to analyzing time-lapse imaging data using an original computational pipeline, which goes beyond the current state of the art and provides new insights into heart tube formation. Overall, this rigorous study will be of broad interest to computational and developmental biologists studying tissue dynamics.

eLife Assessment

This study presents a screen for small-molecule activators of the kinase GCN2 that phosphorylates the eukaryotic translation initiation factor 2 alpha (eIF2α) in response to diverse stress stimuli. Among the compounds identified, one stands out as a potent activator that functions independently of GCN1, which is important for probing mechanisms of Integrated Stress Response regulation and may have translational relevance in the context of pathogenic GCN2 mutations. While some reviewers found the biochemical analyses convincing, others viewed the cellular evidence as limited, particularly with respect to time points, endogenous readouts, and broader cell-type validation, which prevents a clear assessment of the compound's potential potency in a physiological context.

eLife Assessment

This work presents valuable new data on the role of D-Serine and how it competes with its stereoisomer L-Serine to influence metabolism. The work presents a variety of solid experimental data combined with simulated results to investigate the mechanisms focused on one-carbon metabolism, which is relevant for several research fields. However, some claims are only partially supported by data, and critical areas comparing L- vs D-Serine and further mechanistic studies are incomplete. Furthermore, while the work has potential for various fields, the work has only been studied in a limited cell type and context.

eLife Assessment

Plasmodesmata are channels that allow cell-cell communication in plants; based on the functional similarities between facilitated transport within plasmodesmata and into the nucleus, the authors speculate that nuclear pore complex proteins might be involved in plasmodesmata function. If supported, this would transform our understanding of cell-to-cell communication in plants. The authors localize nuclear pore complex proteins to plasmodesmata using proteomics and heterologous overexpression; however, the data are incomplete since key controls for localization, functionality, and expression level of fluorescent protein fusions are absent.

eLife Assessment

This fundamental work demonstrates that compartmentalized cellular metabolism is a dominant input into cell size control in a variety of mammalian cell types and in Drosophila. The authors show that increased pyruvate import into the mitochondria in liver-like cells and in primary hepatocytes drives gluconeogenesis but reduces cellular amino acid production, suppressing protein synthesis. The evidence supporting the conclusions is compelling, with a variety of genetic and pharmacologic assays rigorously testing each step of the proposed mechanism. This work will be of interest to cell biologists, physiologists, and researchers interested in cell metabolism, and is significant because stem cells and many cancers exhibit metabolic rewiring of pyruvate metabolism.

eLife Assessment

This study reports the important finding that the dynamin inhibitor Dyngo-4a broadly affects lipid packing and plasma membrane dynamics, independently of its action on dynamin. While solid computational, biophysical, and cell-based evidence supports this conclusion, there is incomplete support for the authors' main claim on the role of lipid packing in caveolae internalization, as the causal relationship remains unclear and direct analyses are lacking. With stronger evidence, this work would be of significant interest to cell biologists, biophysicists, and chemists interested in membrane remodeling and drug-membrane interactions.

[Editors' note: this paper was reviewed by Review Commons.]

eLife Assessment

This manuscript describes a novel method for determining the mechanical parameters of the kinesin, KIF1A, that uses fluorescence microscopy and does not require an optical tweezer apparatus. The length of a tethered fluorescent DNA nanospring is measured as the kinesin moves processively along the microtubule and then stalls. The work reports important findings, and (barring a few exceptions) the evidence supporting the claims is generally convincing.

eLife Assessment

This study uses the Drosophila mushroom body as a model to understand the molecular machinery that controls the temporal specification of neuronal cell types. With convincing experimental evidence, the authors made fundamental findings that the Pipsqueak domain-containing transcription factor Eip93F is central to the specification of a later-born neuronal subtype and in inhibiting gene expression for earlier subtypes.

eLife Assessment

This manuscript reports valuable results on the role of MDC1 and Treacle in DSB repair in rDNA repeats. It has been previously established that MDC1 is replaced by Treacle as the main adaptor in the nucleolar DNA damage response. This work provides convincing evidence that MDC1 is required for the recruitment of RAD51 and BRCA1 to DSBs in rDNA. The work involves multiple MDC1 knockout models and establishes that RFN8-RNF168 act downstream of MDC1 in the recruitment of the HR machinery to nucleolar DSBs.

eLife Assessment

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher-order epistasis can play key roles in protein function. This work will be of interest to the communities interested in modeling biological sequence data and understanding mutational effects.

eLife Assessment

This manuscript uses simulations to describe the dynamics of the Pseudomonas-derived cephalosporinase PDC-3 β-lactamase and its mutants to better understand antibiotic resistance. The finding that clinically observed mutations alter the flexibility of the Ω- and R2-loops, reshaping the cavity of the active site, is useful to the field. However, the evidence is considered incomplete; there is a lack of description of methods, and there is a need for additional analysis to demonstrate statistical significance, visualisation of the Markov states, analysis to explain changes due to the different mutations, and possible simulations in the presence of substrates to shed direct light on modulation mechanisms.

eLife Assessment

This manuscript employs cryo-EM, mutational analysis, and biochemical assays to explore the molecular basis by which glutamine promotes filamentation and regulates the activity of human glutamine synthetase (hGS) by stabilizing interactions between hGS decamers. The studies supporting this mechanism are solid, but could be improved by providing more clarity and by addressing methodological issues in the cryoEM data processing workflow. This work will be of particular interest and useful to groups interested in understanding the molecular basis of nutrient sensing, cellular metabolism, and structural regulation of enzyme activity.

eLife Assessment

The is a valuable evaluation of a previously published simulation model on the role of heterozygote advantage in shaping MHC diversity, showing that the conclusions from this model hold only within a narrow parameter range that might be unrealistic. The author presents an alternative model, in which MHC homozygotes with duplicated MHC genes outperform heterozygotes with single genes, thereby challenging the explanation that heterozygote advantage will lead to high allelic variation at a given MHC gene. The topic is highly relevant for eco-immunology and evolutionary genetics, but several major aspects of the author's claim need to be clarified to make the model interpretable. While the work has the potential to improve our understanding of the question of how the extraordinary diversity at the MHC locus evolves, without this addition, the conclusions remain incomplete.

eLife Assessment

This important study shows how hunger alters avoidance of harmful heat in C. elegans by reconfiguring the activity of key sensory neurons. The evidence is convincing, with well-designed behavioural, genetic, and imaging experiments that support the main conclusions. The work will be of interest to neuroscientists studying how internal states shape sensory processing and behaviour across species.

eLife Assessment

This study employed state-of-the-art quantitative imaging and genomics approaches to address a fundamental question regarding the establishment of Polycomb domains during Drosophila embryogenesis. The critical developmental stage was pinpointed to the maternal-to-zygotic transition, rather than earlier stages, providing clarification for the field. The roles of two factors, Zelda and GAGA-factor, were investigated, which reveal that Zelda, but not GAGA-factor, contributes to this process. These compelling findings have implications for chromatin and developmental biology.

eLife Assessment

This useful study examines the contribution of synaptotagmin 1 and synaptotagmin 7 to metabolite antigen presentation to mucosal-associated invariant T (MAIT) cells; it begins to address a critical gap in our understanding of the antigen presentation mechanisms to these cells. Strengths of the study include the use of Mtb to study the dynamics of antigen presentation to MAIT cells instead of a synthetic antigen. However, the strength of the evidence to support the conclusion is currently incomplete. The conclusions could be enhanced by additional dissection of some of the cell biological events that lead to antigen presentation by MR1.

eLife Assessment

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in gene expression along the chromosome. The authors propose that this metric reflects chromatin structure and can serve as a proxy for its changes during aging. While currently the strength of evidence is somewhat incomplete, if revised with further supporting data, this work will provide a systems-level understanding of aging and genome regulation, which is predicted to have a substantive impact on the field.

eLife Assessment

This study presents a valuable quantitative framework for analyzing transcription dynamics data for enhancers and genes expressed in the early Drosophila embryo. By analyzing existing data across both synthetic reporters and an endogenous gene (eve), this work provides evidence that spatial gene expression patterns within the embryo are largely determined by "activity time" - the time during which a gene is bursting. The methods and evidence are solid and should be of broad interest to researchers in developmental biology and quantitative gene regulation, but the study would be significantly enhanced by clarifying the novelty of the findings relative to prior work and presenting a rigorous benchmarking of their algorithm against previously used algorithms.

eLife Assessment

This study presents a new toolbox for Representational Similarity Analysis, representing a valuable contribution to the neuroscience community. The authors offer a well-integrated platform that brings together a range of state-of-the-art methodological advances within a convincing framework, with strong potential to enable more rigorous and insightful analyses of neural data across multiple subfields.