Evaluated articles

eLife Assessment

This work presents an atlas of vasopressin (AVP) and its receptor AVPR1a in mouse brains using RNAscope to map single transcript expressions of Avp and Avpr1a across various brain regions in males and females. The findings are valuable in that they identify brain regions expressing Avpr1a mRNA transcript. The impact of findings is decreased by incomplete analysis of the data due to limited description of Avpr1a mRNA distribution within brain regions and limited statistical inference.

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 that is 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 a visual bias consistent with that observed in human perception, which mildly improves learning speed. While the study offers a tool that is of value for studying top-down feedback in cortical models, with the potential to inspire other fields (e.g. machine learning), the presented evidence for a general framework of deep learning architectures that predict behavior is incomplete, and the methods section lacks sufficient detail in terms of hyperparameter choice and network structures.

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 predictive performance of the proposed method is solid through external validation using two datasets. 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 is convincing, but the computational analysis based on the optimisation of different Q-learning models is incomplete. 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. However, further arguments concerning the role of the nipple in spatial localisation are not well supported by the current evidence. 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 important study utilizes single-cell RNA sequencing to reveal the heterogeneity of trans-sialidase-like superfamily gene expression in Trypanosoma cruzi populations. The approach is highly convincing, as it successfully assigns cells to specific developmental forms and highlights the variability in surface protein expression among trypomastigotes. However, while the findings are solid and contribute to the understanding of immune evasion mechanisms, the study would benefit from a more detailed exploration of the regulatory factors governing trans-sialidase expression. Strengthening this aspect would further enhance its impact on researchers studying T. cruzi pathogenesis and host-parasite interactions.

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. Although 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, in its current state it is incomplete due to the lack of rigorous criteria for manual curation and comprehensive annotation of the predicted matrisome.

eLife Assessment

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its methodological framework remains incomplete regarding spatial communication applications and feature dependence. The approach demonstrates notable utility by enabling higher-resolution cell mapping across multiple biological systems and spatial platforms compared to existing tools.

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.

eLife Assessment

In this manuscript, Lim and collaborators present a useful system for developing self-amplifying RNA that should not provoke a strong host inflammatory response. However, some of the claims are incomplete; additional experiments to investigate the effects on translation of the gene of interest and replication efficiency of the self-amplifying RNA could strengthen the manuscript.

eLife Assessment

This important study shows, for the first time, the structure and snapshots of the dynamics of the full-length soluble Angiotensin-I converting enzyme dimer. The combination of structural and computational approaches elucidates with convincing evidence the conformational dynamics of the complex and key regions mediating the conformational change. This work provides an example of how conformational heterogeneity can be used to gain insights into protein function.

eLife Assessment

This study presents a useful contribution to understanding zinc regulation of sperm physiology, specifically its inhibitory effects on the sperm-specific potassium channel Slo3. However, the evidence supporting the claims is incomplete, as critical experimental controls are lacking, key mechanistic aspects remain insufficiently explored, and experimental descriptions are often inadequate, making it difficult to fully assess the findings. Strengthening the study with additional electrophysiological recordings in sperm cells, improved imaging controls, and clearer methodological descriptions would enhance its impact and rigor.

eLife Assessment

This report explores the role of matrix metalloprotease MMP21 in left-right patterning in Xenopus. Based on a series of compelling experiments, the authors demonstrate that MMP21 can be secreted and acts upstream of dand5 without affecting cilia flow. The experiments are interesting and valuable; however, the claims by the authors lack consideration of other models that could also explain their findings.

eLife Assessment

This important study addresses a topic that is frequently discussed in the literature but is under-assessed, namely correlations among genome size, repeat content, and pathogenicity in fungi. Contrary to previous assertions, the authors found that repeat content is not associated with pathogenicity. Rather, pathogenic lifestyle was found to be better explained by the number of protein-coding genes, with other genomic features associated with insect association status. While the results are considered solid, confidence in the results would be deepened if the authors were to comprehensively account for potential biases stemming from the underlying data quality of the analyzed genomes.