eLife

Latest preprint reviews

1. Identifying the genetic basis and molecular mechanisms underlying phenotypic correlation between complex human traits using a gene-based approach

   This article has 6 authors:

   1. Jialiang Gu
   2. Chris Fuller
   3. Peter Carbonetto
   4. Xin He
   5. Jiashun Zheng
   6. Hao Li

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     To evaluate phenotypic correlations between complex traits, this study aimed to measure the genetic overlap of traits by evaluating GWAS signals assisted by eQTL signals. They suggested an improved version of the previous Sherlock to integrate SNP-level signals into gene-level signals. Then they compared 59 human traits to identify known and novel genetic distance relationships. This work is valuable to the field, but still needs substantial improvement because many parts of the paper are incomplete.

   Reviewed by eLife

2. Restoring data balance via generative models of T cell receptors for antigen-binding prediction

   This article has 4 authors:

   1. Emanuele Loffredo
   2. Mauro Pastore
   3. Simona Cocco
   4. Rémi Monasson

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This valuable study introduces a data augmentation approach based on generative unsupervised models to address data imbalance in immune receptor modeling. Support for the findings is solid, showing that the use of generated data increases the performance of downstream supervised prediction tasks, e.g., TCR-peptide interaction prediction. However, the validation, mainly relying on synthetic data, could be completed, especially regarding unseen epitopes, and given the exclusive focus on CDR3β. The results should be of interest to the communities working on immunology and biological sequence data analysis.

   Reviewed by eLife

3. We couldn't get details of this article at this time:
   10.1101/2025.06.03.657645

4. We couldn't get details of this article at this time:
   10.1101/2025.05.02.651904

5. Transport kinetics across interfaces between coexisting liquid phases

   This article has 6 authors:

   1. Lars Hubatsch
   2. Stefano Bo
   3. Tyler S Harmon
   4. Anthony A Hyman
   5. Christoph A Weber
   6. Frank Jülicher

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This study offers a valuable theoretical framework for quantifying molecular transport across interfaces between coexisting liquid phases, emphasizing interfacial resistance as a central factor governing transport kinetics. The mathematical derivations are solid. To enhance the paper's relevance and broaden its appeal, it would be helpful to clarify how the key equations connect to existing literature and to elucidate the physical mechanisms underlying scenarios that give rise to substantial interfacial resistance.

   Reviewed by eLife

6. We couldn't get details of this article at this time:
   10.1101/2025.03.18.25324202

7. We couldn't get details of this article at this time:
   10.1101/2023.03.20.533581

8. We couldn't get details of this article at this time:
   10.1101/2025.07.18.665601

9. Modeling metabolic disease susceptibility and resilience in genetically diverse mice

   This article has 14 authors:

   1. Candice N Baker
   2. Jeffrey M Harder
   3. Daniel A Skelly
   4. Isabella Gerdes Gyuricza
   5. Margaret Gaca
   6. Matthew Vincent
   7. Allison Ingalls
   8. Mark P Keller
   9. Alan D Attie
   10. Madeleine Braun
   11. Michael Stitzel
   12. Edison T Liu
   13. Nadia Rosenthal
   14. Gary A Churchill

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     The authors used three genetically diverse mouse models to investigate the impact of genome diversity on metabolic disease outcomes, such as obesity and glucose tolerance. This study is important because it integrates comprehensive metabolic analyses and multi-tissue phenotyping across sexes to reveal pathways relevant to obesity and its complications; the data are convincing and uncover several pathways that advance understanding of disease etiology while suggesting potential therapeutic avenues to prevent obesity-related health risks. There are limitations, such as a limited number of mouse strains used in the work, the 9-week feeding regime may be too short to capture full metabolic remodeling, and the mechanisms by which the immune-adipose axis impacts the broader phenotype are not fully described. Overall, the study is compelling, but the manuscript could be improved by justifying the strain selection, addressing the concern about the feeding duration, and providing stronger mechanistic support or discussion.

   Reviewed by eLife

10. We couldn't get details of this article at this time:
    10.1101/2024.10.15.618344