eLife

Latest preprint reviews

1. dbGIST: An LLM-Assisted Multi-Omics Resource for Target Exploration and Cross-Dataset Validation in Gastrointestinal Stromal Tumors

   This article has 20 authors:

   1. Zhao Sun
   2. Qian Zhao
   3. Jie-Han Li
   4. Jia-Jing Li
   5. Hao Liu
   6. Yan-Xu Guo
   7. Ya-Dong Tang
   8. Fei Yang
   9. Xin Liu
   10. San-Fei Peng
   11. Wu-nan Mi
   12. Ge Zhang
   13. Zhen Zhang
   14. Ming-Liang Yuan
   15. Guang-Hui Li
   16. Yun-Fei Wang
   17. Chao Liu
   18. Sheng-Lei Li
   19. Jing-Hua Yang
   20. Yang Fu

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     The paper provides a valuable, foundational dataset that will undoubtedly provide substantial value to the cancer research community. The aggregation and harmonization of a broad, rich, multi-omic dataset is convincing and will potentially support further downstream research on GIST, which currently has poor supporting datasets. Support for the accompanying claims is more incomplete, however: the biological demonstration rests on a single gene tested by one approach, several analyses lack sample sizes and multiple-testing correction, the claims made for the LLM assistant are not backed by direct evaluation, and the curated data matrices would ideally be deposited independently of the web.

   Reviewed by eLife

2. Functional Convergence of Genetically Diverse B-Cell Receptors in Simian-HIV Infected Rhesus Macaques

   This article has 16 authors:

   1. Shengli Song
   2. Hui Li
   3. Chen-Hao Yeh
   4. Akiko Watanabe
   5. Masayuki Kuraoka
   6. Hongmei Gao
   7. Xiaoying Shen
   8. Celia C. LaBranche
   9. Wilton B. Williams
   10. Kevin O. Saunders
   11. M. Anthony Moody
   12. Kevin Wiehe
   13. David C. Montefiori
   14. Barton. F. Haynes
   15. George M. Shaw
   16. Garnett Kelsoe

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This valuable study characterizes how antibody responses converge on similar functional solutions despite diverse genetic backgrounds, providing a resource that is of importance in understanding immune responses and informing vaccine research. The evidence is solid, with extensive and well-executed analyses supporting the primary findings, although broader conclusions regarding vaccine design would benefit from more cautious interpretation and fuller discussion of the study's limitations. The work will be of interest to researchers studying antibody responses, viral evolution, and vaccine development.

   Reviewed by eLife

3. Frequency dynamics predict viral fitness, antigenic relationships and epidemic growth

   This article has 2 authors:

   1. Marlin D Figgins
   2. Trevor Bedford

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     In this important work, the authors develop methods to forecast epidemic growth from viral sequencing data alone. The evidence for the usefulness of the approach is solid, but some justifications and methodological details are incomplete. This study should be of broad interest to the community interested in viral dynamics and epidemiology.

   Reviewed by eLife

4. Quantitative modelling of biological response dynamics reveals novel patterns in plant volatile signalling

   This article has 5 authors:

   1. Jamie M. Waterman
   2. Gareth J. Moore
   3. Loren K. Amdahl-Culleton
   4. Sara Hoefer
   5. Matthias Erb

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This important study presents the development of a model to quantify the dynamics of stress-induced volatile emissions in plants and identify biologically relevant differences in these responses. The model is based on a convincing methodology and represents a starting point for studies of similar responses in other plants or investigations of induced phenotypes in different biological systems.

   Reviewed by eLife

5. We couldn't get details of this article at this time:
   10.64898/2026.02.20.706943

6. We couldn't get details of this article at this time:
   10.64898/2026.01.19.700303

7. We couldn't get details of this article at this time:
   10.1101/2025.09.29.679309

8. We couldn't get details of this article at this time:
   10.64898/2026.05.26.727818

9. We couldn't get details of this article at this time:
   10.64898/2026.05.20.726505

10. Virtual reality reveals fine-scale alterations in behaviour following loss of the ADHD-linked gene adgrl3.1 in zebrafish

    This article has 5 authors:

    1. Phoebe Reynolds
    2. Emily Read
    3. Caitlin Daly-East
    4. Matthew O Parker
    5. Robert Hindges

    This article has been curated by 1 group:

    • Curated by eLife

      eLife Assessment

      The study presents valuable findings on early behavioral phenotypes that arise in an ADHD-associated adgrl3.1 mutant zebrafish, using a new behavioral approach with a closed-loop OMR assay. The evidence supporting the claims of the authors is solid; however, the validation of the method and analysis is incomplete and would benefit from more rigorous approaches and validation practices. This work will be of broad interest to developmental biologists and behavioral neuroscientists.

    Reviewed by eLife