Latest preprint reviews

  1. Role of ADMA-histones in dual-strand piRNA source loci recognition by Rhino

    This article has 6 authors:
    1. Raku Saito
    2. Hirotsugu Ishizu
    3. Ritsuko Harigai
    4. Kensaku Murano
    5. Yurika Namba
    6. Mikiko C Siomi
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This valuable study identifies asymmetric dimethylarginine (ADMA) modification of histones as a potential key determinant of the initial genomic binding of Rhino, a Drosophila-specific chromatin protein essential for piRNA cluster specification. The authors provide correlative genomic and imaging data to support their model, although functional validation of the proposed mechanism remains incomplete. Testing the redundancy between dART4 and dART1, which together could affect the prominent piRNA loci, in addition to the minor ones investigated in the manuscript, may change our assessment.

    Reviewed by eLife

    This article has 7 evaluationsAppears in 1 listLatest version Latest activity
  2. Minus the Error: Testing for Positive Selection in the Presence of Residual Alignment Errors

    This article has 9 authors:
    1. Avery Selberg
    2. Nathan L Clark
    3. Timothy B Sackton
    4. Spencer V Muse
    5. Alexander G Lucaci
    6. Steven Weaver
    7. Anton Nekrutenko
    8. Maria Chikina
    9. Sergei L Kosakovsky Pond
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems to perform well and is generally convincing, although the evidence could be made more direct and more complete through additional simulations to determine the extent to which alignment errors are being properly captured.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  3. Design of combination therapeutics from protein response to drugs in ovarian cancer cells

    This article has 9 authors:
    1. Alexandra Franz
    2. Ciyue Shen
    3. Fabian Coscia
    4. Kenneth Munroe
    5. Lea Charaoui
    6. Anil Korkut
    7. Matthias Mann
    8. Augustin Luna
    9. Chris Sander
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      In this important study, the authors provide a simple yet elegant approach to identifying therapeutic targets that synergize to prevent therapeutic resistance in ovarian cancer using cell lines, data-independent acquisition proteomics, and bioinformatic analysis. The authors convincingly identify several combinations of pharmaceuticals that were able to overcome or prevent therapeutic resistance in culture models of ovarian cancer, a disease with an unmet diagnostic and therapeutic need. This work will be of interest to researchers focused on ovarian cancer.

    Reviewed by eLife

    This article has 7 evaluationsAppears in 1 listLatest version Latest activity
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