Evaluated articles

eLife Assessment

This fundamental work by Mäkelä et al. presents compelling experimental evidence supported by a theoretical model that the amount of chromosomal DNA can become limiting for the total rate of mRNA transcription and consequently protein production in the model bacterium Escherichia coli. The work is based on a mutant that allows inhibition of DNA replication while following growth at the single-cell level due to cell filamentation. The work significantly advances our understanding of growth and of the central dogma, and will be of considerable interest within both systems biology and microbial physiology.

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.

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.

eLife assessment

The manuscript presents a machine-learning method to predict protein hotspot residues. The validation is incomplete, along with the misinterpretation of the results with other current methods like FTMap.

eLife Assessment

This important work by Veneditto and colleagues developed a new modeling approach, called a mixture-of-agent hidden Markov model (MoA-HMM), in which choice behaviors are modeled as transitions between discrete states defined by different weighting of several reinforcement learning and decision strategies. The authors apply this approach to their previous data collected from rats performing the two-step task, and show that this method predicts fluctuations in neural and other behavioral data and provides better fits to the data than previous methods. The revision has greatly improved the manuscript, the evidence supporting the conclusions is convincing, and the method is of general interest to the field.

eLife assessment

This study provides valuable insights and allows for hypothesis generation around diet-microbe-host interactions in alcohol use disorder. The strength of the evidence is convincing: the work is done in a rigorous manner in a well-described cohort of patients with AUD before and after withdrawal. There are several weaknesses, including validating the metabolites identified by metabolomics, the cross-sectional study design, the lack of a healthy control group, and the descriptive nature of such clinical cohort studies. Nevertheless, the study provides a wealth of new data that may be the basis for future studies that test causality and elucidate the role of single metabolites in the psychiatric sequela of AUD.

eLife Assessment

This important study introduces a biologically constrained model of telencephalic area of adult zebrafish to highlight the significance of precisely balanced memory networks in olfactory processing. The authors provide compelling evidence that their model performs better in multiple situations (for e.g. in terms of network stability and shaping the geometry of representations), compared to traditional attractor networks and persistent activity. The work supports recent studies reporting functional E/I subnetworks in several sensory cortexes, and will be of interest to both theoretical and experimental neuroscientists studying network dynamics based on structured excitatory and inhibitory interactions.

eLife Assessment

The authors present an algorithm and workflow for the inference of developmental trajectories from single-cell data, including a mathematical approach to increase computational efficiency. In this latest version, the authors addressed the benchmarking of the novel method, but the absence of quantitative comparisons to state-of-the-art methods still make this study incomplete. Based on the shown validation approaches, one can neither ultimately judge if the shown method will be an advance over previous work nor whether the approach will be of general useful applicability.

eLife Assessment

This fundamental work provides creative and thoughtful analysis of rodent foraging behavior and its dependence on body reference frame-based vs world reference frame-based cues. Compelling evidence demonstrates that a robust map, capable of supporting taking novel shortcuts, can be learned primarily if not exclusively based on self-motion cues, which has rarely if ever been reported outside of the human literature. The work, which will be of interest to a broad audience of neuroscientists, provides a rich discussion about the role of the hippocampus in supporting the behavior that should guide future neurophysiological investigations.

eLife Assessment

In this useful study, the authors tested a novel approach to eradicate the HIV reservoir by constructing a herpes simplex virus (HSV)-based therapeutic vaccine designed to reactivate HIV from latently infected cells and induce an immune response to kill such infected cells. Testing this approach with SIV in a primate model, the authors report that the SIV reservoir was reduced. However, the evidence presented appears to be incomplete because the animal group size was small and the SIV reservoir size highly variable.

eLife Assessment

This study reports single-cell RNA sequencing results of lung adenocarcinoma, comparing 4 treatment-naive and 5 post-neoadjuvant chemotherapy tumor samples. Of interest is the delineation of two macrophage subtypes: Anti-mac cells (CD45+CD11b+CD86+) and Pro-mac cells (CD45+CD11b+ARG+), with the proportion of Pro-mac/pro-tumorigenic cells significantly increasing in LUAD tissues after neoadjuvant chemotherapy. In terms of significance, the findings might be useful. However issues remain after the revision with lengthy descriptive clustering type analysis, insufficient statistical support, and inefficient figure presentation. As it stands, the level of supportive evidence is inadequate.

eLife Assessment

This manuscript presents valuable findings showing that rapamycin directly activates the cool-sensing ion channel, TRPM8, acting through a different binding site than other small-molecule cooling agents such as menthol. The use of Ca2+-imaging, electrophysiology, and computational biology provides solid evidence to support the finding. The authors also present a novel NMR-based method to help identify details of the binding site interactions. In this revised version, some analysis and the presentation have been corrected and improved. Their findings provide insights into TRP channel pharmacology and may indicate previously unknown physiological effects or therapeutic mechanisms of the immunosuppressant, rapamycin.

eLife Assessment

Leveraging state-of-the-art experimental and analytical approaches, this important study characterizes the recruitment and activation of large populations of human motor units during slow isometric contractions in two lower limb muscles. Evidence for the main claims is solid and advances our understanding of how humans generate and control voluntary force.

eLife assessment

This valuable study has characterized the unique expression of Schlemm's canal endothelial cells (SECs) using FACS-sorted specific cell bulk RNA-Seq and scRNA-/snRNA-Seq of mouse SECs. The compelling study identified novel biomarkers for SECs and molecular markers for two inner wall SEC states and outwall SECs in mouse eyes. Significant gene networks and pathways were elucidated for their potential contribution to glaucoma pathogenesis, providing targets for further research in relation to glaucoma.

eLife Assessment

This fundamental work demonstrates the importance of considering overlapping modes of functional organization (i.e. gradients) in the hippocampus, showing associations with aging, dopaminergic receptor distribution and episodic memory. The evidence supporting the conclusions is convincing, although not all analyses were performed in a replication sample. The work will be of broad interest to basic and clinical neuroscientists.

eLife Assessment

This useful study reports on the impact of antibiotic pressure on the genomic stability of the mc2155 strain of Mycobacterium smegmatis, a model for Mycobacterium tuberculosis. The findings of the study indicate that exposure to antibiotics did not lead to the development of new adaptive mutations in controlled laboratory environments, challenging the notion that antibiotic resistance arises from drug-induced microevolution. The genomic analysis provides detailed insights into the stability of M. smegmatis following exposure to standard TB treatment antibiotics, and the evidence suggesting that antibiotic pressure does not contribute to the emergence of new adaptive mutations is solid.

eLife Assessment

The article uses a cell-based model to investigate how mutations and cells spread throughout a tumour. The paper uses published data and the proposed model to understand how growth and death mechanisms lead to the observed data. This work provides an important insight into the early stages of tumour development. From the work provided here, the results are convincing, using a thorough analysis.

eLife assessment

This study presents a valuable optimization algorithm to identify polymer models that best fit population-averaged chromosome contact data that will be of interest to physicists and biologists working on chromatin organization. The conclusions are supported by solid evidence.

eLife Assessment

This important study reports single-nucleus multiomics-based profiling of transcriptome and chromatin accessibility of mouse XX and XY primordial germ cells (PGCs). The main conclusions of this study, which will be of interest to developmental and reproductive biologists, as well as andrologists, are supported by convincing data.

eLife assessment

The fundamental findings of this work substantially advance our understanding of the impact of the host on its gut microbes. The authors provided compelling evidence at single-cell resolution that the host can drive heterogeneity in the populations of gut microbes with significant consequences for the host physiology.