Evaluated articles

eLife Assessment

This work identifies a novel, conserved link between glycolysis and sulfur metabolism that governs fungal morphogenesis and virulence. The compelling evidence, integrating multiple approaches, provides an important conceptual advance. A future mechanistic dissection of how sulfur metabolites interface with known pathways is encouraged.

eLife Assessment

This valuable work investigates the role of protein N-glycosylation in regulating T-cell activation and function and suggests that B4GALT1 is a potential target for tumor immunotherapy. The strength of evidence is solid, and further mechanistic validation could be provided.

eLife Assessment

This valuable study provides insights into the role of Pten mutations in SHH-medulloblastoma, by using mouse models to resolve the effects of heterozygous vs homozygous mutations on proliferation and cell death throughout tumorigenesis. The experiments presented are convincing, with rigorous quantifications and orthogonal experimentation provided throughout, and the models employing sporadic oncogene induction, rather than EGL-wide genetic modifications, represent an advancement in experimental design. However, additional experimentation focused on a greater characterization of macrophage phenotypes (e.g., microglia vs circulating monocytes) would enhance this study. The work will be of interest to medical biologists studying general cancer mechanisms, as the function of Pten may be similar across tumor types.

eLife Assessment

The study provides important mechanistic insight into the transcriptional control of γδT17 development, elegantly demonstrating how HEB and Id3 act sequentially and cooperatively to regulate γδT17 cell specification and maturation. The study provides compelling evidence that advances the understanding of E-Id protein dynamics in thymic T cell specification. The work is comprehensive, technically rigorous, and conceptually clear, and will be of interest to immunologists, developmental biologists, and those studying the molecular underpinnings of physiological outcomes.

eLife Assessment

The current work uses DNA-tethered motor trapping to reduce vertical forces and improve datasets for kinesin-1 motility under load. The evidence is compelling and the significance is important to the kinesin field. Kinesin-1 is more robust and less prone to premature detachment than previously indicated. This represents a significant advancement in the field and is generally applicable to work with optical tweezers.

eLife Assessment

This useful manuscript reports findings indicating that cell cycle progression and cytokinesis both contribute to the transition from early to late neural stem cell fates. Although orthogonal approaches would help confirm the findings, which are based on loss-of-function, the experimental evidence is convincing. Lastly, an investigation of the underlying mechanisms linking the cell cycle to temporal factor expression is still needed.

eLife Assessment

This study provides a valuable genome-centric characterization of microbial communities across deep sediment cores from a Spartina patens salt marsh. The study provides claims on the metabolic capabilities of the deep sediment microbiome as well as on a burial microbial assembly process and functional complementarity at depth. However, some of these claims remain incomplete and would benefit from further supporting evidence. Overall, this work will be of interest to microbial ecologists working on wetlands.

eLife Assessment

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other influences, particularly thirst, by comparing model fits across neurons. Although the question and approach are valuable, several limitations of the current manuscript mean that support for the conclusions is incomplete.

eLife Assessment

In reporting on a valuable "learning proteome" for a C. elegans gustatory associative learning paradigm, this work identifies a new set of genes to be tested for roles in learning and memory, describes molecular pathways involving these genes and relevant for learning and memory in C. elegans, and deliver a new set of tools for prodding worm behavior. The methods and results convincingly support the findings, which will be of interest to neuroscientists and developmental biologists seeking to understand the self-assembly and operation of neural circuits for learning and memory.

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

eLife Assessment

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential drivers of arbovirus transmission and recorded incidence. The work is methodologically solid, though it is unclear how much explanatory power inclusion of the covariates adds. The findings will be of interest to researchers working on the epidemiology of arboviruses.

eLife Assessment

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The evidence supporting the tool's capabilities is convincing and solid, with well-documented code, algorithmic innovation, and application to hippocampal pyramidal neurons - although experimental confirmation of the predictions is not provided. The work will be of interest to computational and systems neuroscientists seeking accessible methods to examine dendritic computations.

eLife Assessment

This important study investigates how the nervous system adapts to changes in body mechanics using a tendon transfer surgery that imposes a mismatch between muscle contraction and mechanical action. Using electromyography (EMG) to track muscle activity in two macaque monkeys, the authors conclude that there is a two-phase recovery process that reflects different underlying strategies. However, neither monkey's data includes a full set of EMG and kinematic measurements, and the two datasets are not sufficiently aligned with each other from a behavioural point of view; as a result, the evidence supporting the conclusions is solid but could be improved.

eLife Assessment

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself is solid, the authors have drawn broader conclusions than are directly supported by the presented data. With more measured claims and greater clarity and explanations for the analysis, the study could potentially become stronger.

eLife Assessment

The study presents important insights into the regulation of muscle hypertrophy, regulated by Muscle Ankyrin Repeat Proteins (MARPs) and mTOR. The methods are overall solid and complementary, with only minor limitations. Overall, the findings will be of interest for both muscle-biology specialists and the broader mechanobiology community.

eLife Assessment

This study is important as it demonstrates that 4-aminoquinoline antimalarials antagonize artemisinin activity under physiologically relevant conditions. Using isogenic parasite lines and a chemical probe, the authors provide mechanistic insight and compelling evidence implicating PfCRT in this antagonism. However, some weaknesses have been identified that limit full interpretation of the findings, which are based solely on in vitro assays, though the results have implications that will be of importance in optimizing future antimalarial combination strategies.

eLife Assessment

This study presents vassi, a Python package that streamlines the preparation of training data for machine-learning-based classification of social behaviors in animal groups. This package is a valuable resource for researchers with computational expertise, implementing a framework for the detection of directed social interactions within a group and an interactive tool for reviewing and correcting behavior detections. However, the strength of evidence that the method is widely applicable remains incomplete, performance on benchmark dyadic datasets is comparable to existing approaches, and performance scores on collective behavioral datasets are low. While the package can analyze behavior in large groups of animals, it only outputs dyadic interactions within these groups and does not account for behaviors where more than two animals may be interacting.

eLife Assessment

This study presents valuable findings on the role of KLF6 in in vitro endothelial cells exposed to altered (high or low) shear stress with a customized microfluidic device to investigate mechanisms of atherosclerosis. The finding that altered shear stress results in endothelial cell ferroptosis through reduced expression of KLF6 is compelling and adds a new layer of complexity to the pathogenesis of atherosclerotic plaques. However, the inclusion of an arterial cell line and re-evaluation of the statistical tests used would strengthen the authors' conclusions.

eLife Assessment

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The method, which fits a B-spline model using cross-correlation-based local patch alignment of micrograph frames, represents a valuable tool for the cryo-EM community. The authors elegantly use 2D template matching to provide solid evidence that Unbend outperforms the previously reported method of Unblur by the same authors. The paper would benefit from the inclusion of a similar analysis for established alternative methods, such as MotionCor2.

eLife Assessment

This study uses a novel 3D imaging method to identify the Periportal Lamellar Complex (PLC), an important new structure. Although the methodological advancement and morphological descriptions are convincing, the evidence for its proposed function is incomplete, relying on transcriptomic correlation rather than direct experimental validation. The work would therefore be strengthened by focusing its claims on the robust methodological advancement and detailed morphological characterization.

eLife Assessment

This study investigates how sleep loss and circadian disruption affect whole-organ metabolism in flies (Drosophila melanogaster) and reports that wild-type flies align metabolism in anticipation of diurnal rhythm, while mutant flies with impaired sleep or circadian function shift to reactive or misaligned metabolism. The integration of chamber-based flow-through respirometry with LC-MS metabolomics is innovative, and the significance of the findings is valuable. However, the strength of evidence needed to support the conclusions is incomplete based on concerns regarding the inappropriate use of constant darkness to disrupt circadian rhythms and the lack of details justifying the methods used to correlate respirometry data with whole-body metabolomics.