eLife

Latest preprint reviews

1. The title and authors for this article are not available from our external data provider yet:
   10.1101/2024.05.23.595569

2. We couldn't get details of this article at this time:
   10.1101/2024.11.14.623694

3. We couldn't get details of this article at this time:
   10.1101/2024.11.11.622942

4. Interpreting prediction intervals and distributions for decoding biological generality in meta-analyses

   This article has 5 authors:

   1. Yefeng Yang
   2. Daniel WA Noble
   3. Alistair M Senior
   4. Malgorzata Lagisz
   5. Shinichi Nakagawa

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This useful study provides a novel perspective on assessing the generalizability of meta-analytic findings by introducing prediction intervals (and distributions) as tools to evaluate whether future studies will likely yield non-zero effects. The methodology is generally solid, with a thorough exploration of a large set of published meta-analyses that broadens our understanding of between-study heterogeneity. However, some critical details are incomplete, requiring refinement to ensure statistical rigor.

   Reviewed by eLife

5. Genome Restructuring around Innate Immune Genes in Monocytes in Alcohol-associated Hepatitis

   This article has 7 authors:

   1. Adam Kim
   2. Megan R McMullen
   3. Annette Bellar
   4. David Streem
   5. Jaividhya Dasarathy
   6. Nicole Welch
   7. Srinivasan Dasarathy

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This potentially useful manuscript addresses the 3D chromatin architecture in monocytes from a few patients with alcohol-associated hepatitis and its relationship to enhanced transcription of innate immune genes. While the concept and methodological approach are interesting in principle, the evidence is incomplete as a result of insufficient sample sizes as well as other substantive analytical concerns.

   Reviewed by eLife

6. Bridging the Gap in Cancer Cell Behavior Against Matrix Stiffening: Insights from a Trizonal Model

   This article has 6 authors:

   1. Mohammad E Torki
   2. Fan Liu
   3. Rongguang Xu
   4. Yunfeng Chen
   5. Jeffery Fredberg
   6. Zi Chen

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This study presents a valuable nonlinear mathematical model that addresses how cell shape transitions in response to ECM stiffness. The evidence supporting the claims of the authors is solid, although additional work is required to improve the manuscript. For instance, the authors should improve the overall readability of the text and amend the experimental validation section. The work will be of interest to scientists working on a spectrum of fields including cell mechanics, cell behaviors, and cancer research.

   Reviewed by eLife

7. Structure of METTL3-METTL14 with an m6A nucleotide reveals insights into m6A conversion and sensing

   This article has 12 authors:

   1. Shan Qi
   2. Abhay Kumar
   3. Shuang Chen
   4. Shuo Zhou
   5. Manish Parihar
   6. Carmen Villalobos
   7. Navom Gupta
   8. Siu-Hong Chan
   9. Manjeet K Rao
   10. Stanton F McHardy
   11. Shozeb Haider
   12. Yogesh K Gupta

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     The manuscript by Qi et al. provides valuable insights into the structural basis of RNA methylation by the METTL3-METTL14 complex, revealing a novel cryptic pocket critical for m6A recognition. The solid experimental approach, integrating crystallography, molecular simulations, and functional assays, supports a proposed two-step mechanism for enzymatic activity. Refining structural data and addressing binding kinetic inconsistencies would further enhance clarity and impact. This manuscript will interest researchers in RNA modification, cancer biology, and therapeutic drug development.

   Reviewed by eLife

8. We couldn't get details of this article at this time:
   10.1101/2024.11.26.625360

9. We couldn't get details of this article at this time:
   10.1101/2024.10.15.618390

10. We couldn't get details of this article at this time:
    10.1101/2024.09.16.613011