Evaluated articles

eLife Assessment

This important study dissects the mathematical and biological assumptions underlying the commonly used Activity-by-Contact model of enhancer action in transcriptional regulation. The authors provide a convincing mathematical analysis that links this (mostly phenomenological) model to concrete molecular mechanisms of enhancer function. This work provides a strong foundation from which to analyze a broad swath of genome-wide data such as that generated by CRISPRi screens.

eLife Assessment

This valuable study presents computational analyses of over 5,000 predicted extant and ancestral nitrogenase structures. The data analyses are convincing, it offers unique insights into the relationship between structural evolution and environmental and biological phenotypes. The data generated in this study provide a vast resource that can serve as a starting point for studies of reconstructed and extant nitrogenases.

eLife Assessment

This valuable study provides solid evidence that supports TANGO2 homologs, including HRG-9 and HRG-10, can play a role in cellular bioenergetics and oxidative stress homeostasis. It also challenges the previously reported role of TANGO in heme transport and paves the way for future mechanistic studies addressing the mechanisms of how TANGO2 regulates oxidative stress homeostasis. The strengths include the use of different model systems, genetic tools, behavioral assays and efforts by the authors in using the same reagents to reproduce results of other groups.

eLife Assessment

The submission by Praveen et al. reports important findings describing the structure of genetic and colour variation in its native range for the globally invasive weed Lantana camara. Whilst the importance of the research question and the scale of the sampling is appreciated, the analysis, which is currently incomplete, requires further tests to support the claims made by the authors.

eLife Assessment

By using sparse Cre-dependent deletion of GluN1 subunit, in vitro quadruple patch clamp recordings, and pharmacological interventions, the authors show that spike timing dependent plasticity at between L5 synapses in the mouse visual cortex is: (i) dependent on presynaptic NMDA receptors; (ii) mediated by non-ionotropic NMDA receptor signaling, and (iii) reliant on presynaptic JNK2/Syntaxin-1a interactions. These fundamental findings advance our understanding of the molecular mechanisms underlying spike time dependent plasticity. The data are compelling and are supported by the elegant application of sophisticated experimental approaches.

eLife Assessment

Shihabeddin et al utilized single-cell RNA-Seq analysis of adult P23H zebrafish animals to identify transcription factors (e2fs, Prdm1a, Sp1) expressed selectively in neural progenitors and immature rods, and validated their necessity for regeneration using morphant analysis. The finding is useful, and the evidence is convincing. The deeper mechanistic analysis could further strengthen the current work by (1) distinguishing developmental vs regenerative transcriptional factors, (2) the addition of matched scATAC-Seq data, and (3) integration with single-cell multiome data from developing retina.

eLife Assessment

This work presents a brain-wide atlas of vasopressin (Avp) and vasopressin receptor 1A (Avpr1a) mRNA expression in mouse brains using high-resolution RNAscope in situ hybridization. The single-transcript approach provides precise localization and identifies additional brain regions expressing Avpr1a, creating a valuable resource for the field. The revised manuscript is clearer and more impactful, with improved figures, stronger data organization, and enhanced scholarship through added context and citations. Overall, the evidence is compelling, and the atlas should be broadly of use to researchers studying vasopressin signaling and related neural circuits.

eLife Assessment

This study dissects the function of 3 outputs of a specific population of modulatory neurons, dorsal raphe dopamine neurons, in social and affective behavior. It provides valuable information that both confirms prior results and provides new insights. The strength of the evidence is convincing, based on cutting-edge approaches and analysis. This study will be of interest to behavioral and systems neuroscientists, especially those interested in social and emotional behavior.

eLife Assessment

This valuable study investigates the computational role of top-down feedback - a property found in biological circuits - in artificial neural network (ANN) models of the neocortex. Using hierarchical recurrent ANNs in an audiovisual integration task, the authors show that an anatomically inspired feedback motif induces a stable visual bias consistent with human perception and yields modest but meaningful benefits for learning dynamics and robustness. The strength of evidence is solid: the modeling, analyses, and controls mostly support the central claim that top-down feedback motifs impose persistent inductive biases that shape functional specialization and behavior. But the evidence for a broad, general framework that predicts behavior remains only partially supported, and the Methods would benefit from a compact, reproducible summary of hyperparameters and architectural details.

eLife Assessment

This study proposes a valuable and interpretable approach for predicting hematoma expansion in patients with spontaneous intracerebral hemorrhage from non-contrast computed tomography. The evidence supporting the proposed method is solid, including predictive performance evaluated through external validation. This quantitative approach has the potential to improve hematoma expansion prediction with better interpretability. The work will be of interest to medical biologists working on stroke and neuroimaging.

eLife Assessment

This important study provides a nuanced analysis of the impact of cues on cost/benefit decision-making deficits in male rats that could have translational relevance to many addictive disorders. The main findings are that cues paired with rewarded outcomes increase the proportion of risky outcomes, whereas risky choice is reduced when cues are paired with reward loss. The experimental data are compelling, whereas the computational analysis based on the optimisation of different Q-learning models is solid. The findings will be of interest to behavioural neuroscientists and clinicians with an interest in risk, decision making, and gambling disorders.

eLife Assessment

This study thoroughly assesses tactile acuity on women's breasts, for which no dependable data currently exists. The study provides two important contributions, by convincingly showing that tactile acuity on the breast is poor in comparison to other body parts, and that acuity is worst in larger breasts, indicating that the number of tactile sensors is fixed. This study will be of interest to the broader community of touch, as well as those interested in breast reconstruction and sexual function.

eLife Assessment

This manuscript provides potentially important findings examining in 2D and 3D models in MYC liver cancer cells changes in DNA repair genes and programs in response to hypoxia. The authors use convincing methodology in most cases, but there is some concern that the analysis is incomplete.

eLife Assessment

This manuscript provides important findings for understanding the mechanisms of a major gene causing the gonad of fish and other vertebrates, including mammals, to become an ovary rather than a testis. Evidence is solid, but alternative explanations for a number of the claims must be considered and discussed. The impact of the work would benefit by placing it in a richer historical context.

eLife Assessment

This useful study provides convincing evidence that Drosophila can taste cholesterol through a subset of bitter-sensing gustatory receptor neurons, and that flies avoid high-cholesterol food. However, the same receptors have been previously found to be involved in the detection of multiple seemingly unrelated chemicals, and the reported expression patterns of these receptors contradict past reports. These caveats are not mentioned in the paper, raising critical concerns about the study's conclusions.

eLife Assessment

This study provides important insights into how Trypanosoma cruzi populations diversify surface protein expression, showing through single-cell RNA sequencing that trans-sialidase-like genes are expressed heterogeneously across individual parasites, a pattern with clear implications for immune evasion. The evidence is convincing, supported by robust single-cell transcriptomic analyses, consistent quantitative measures of expression heterogeneity, and integration with genomic organization that together argue against purely stochastic expression.

eLife Assessment

This valuable study provides a comprehensive description of the Nematostella vectensis matrisome - the genes encoding the proteins of the extracellular matrix. The authors combine new mass spectrometry data with bioinformatic analyses of previously published genomic and single-cell RNAseq data. The analysis is thorough, and the discussion and conclusions are convincing. This work will be of interest to biologists working on the evolution of the matrisome, as well as more broadly those working with non-bilaterian animals.

eLife Assessment

The development of glmSMA represents a valuable advancement in spatial transcriptomics analysis, offering a mathematically robust regression-based approach that achieves higher-resolution mapping of single-cell RNA sequencing data to spatial locations than existing methods. The evidence is convincing, as the authors demonstrate the method's superiority by formulating it as a convex optimization problem that ensures stable solutions, coupled with successful validation across multiple biological systems. The rigorous mathematical framework and validation across diverse tissues enable precise spatial mapping of cellular heterogeneity at enhanced resolution.

eLife Assessment

This study reanalyzed previously published scRNA-seq and TCR-seq data to examine the proportion and characteristics of dual-TCR-expressing Treg cells in mice, presenting some useful insights into TCR diversity and immune regulation. However, the evidence is incomplete, particularly with respect to data interpretation, statistical rigor, and the functionality of dual -TCR Treg cells. The study is potentially of interest to immunologists studying T-cell biology.

eLife Assessment

Kwon et al. present an important paper using a novel approach to estimating rotavirus vaccine efficacy using data from a passive surveillance network in the US. They provide convincing evidence to support their conclusion that using the whole genome, rather than previous use of two surface proteins, enhances our understanding of strain-specific vaccine efficacy. These findings have implications for this vaccine specifically as well as type-specific vaccine evaluation more generally.