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  1. Deep learning predicts tissue outcomes in retinal organoids

    This article has 12 authors:
    1. Cassian Afting
    2. Norin Bhatti
    3. Christina Schlagheck
    4. Encarnación Sánchez Salvador
    5. Laura Herrera-Astorga
    6. Rashi Agarwal
    7. Risa Suzuki
    8. Nicolaj Hackert
    9. Hanns-Martin Lorenz
    10. Lucie Zilova
    11. Joachim Wittbrodt
    12. Tarik Exner

    Reviewed by Review Commons

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  2. THE FAM53C/DYRK1A axis regulates the G1/S transition of the cell cycle

    This article has 15 authors:
    1. Taylar Hammond
    2. Jong Bin Choi
    3. Miles W Membreño
    4. Janos Demeter
    5. Roy Ng
    6. Debadrita Bhattacharya
    7. Thuyen N Nguyen
    8. Griffin G Hartmann
    9. Caterina I Colón
    10. Carine Bossard
    11. Jan M Skotheim
    12. Peter K Jackson
    13. Anca Pasca
    14. Seth M Rubin
    15. Julien Sage
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This study identifies the uncharacterised protein FAM53C as a novel, potential regulator of the G1/S cell cycle transition, linking its function to the DYRK1A kinase and the RB/p53 pathways. The work is valuable and of interest to the cell cycle field, leveraging a strong computational screen to identify a new candidate. The findings are solid, although confidence in the siRNA depletion phenotypes would have been higher with rescue experiments using an siRNA-resistant cDNA and more robust quantification of some immunoassay data.

      [Editors' note: this paper was reviewed by Review Commons.]

    Reviewed by eLife, Review Commons

    This article has 9 evaluationsAppears in 2 listsLatest version Latest activity
  3. MAVISp: A Modular Structure-Based Framework for Protein Variant Effects

    This article has 33 authors:
    1. Matteo Arnaudi
    2. Mattia Utichi
    3. Kristine Degn
    4. Matteo Tiberti
    5. Ludovica Beltrame
    6. Karolina Krzesińska
    7. Pablo Sánchez-Izquierdo Besora
    8. Eleni Kiachaki
    9. Simone Scrima
    10. Laura Bauer
    11. Katrine Meldgård
    12. Anna Melidi
    13. Lorenzo Favaro
    14. Anu Oswal
    15. Guglielmo Tedeschi
    16. Terézia Dorčaková
    17. Alberte Heering Estad
    18. Joachim Breitenstein
    19. Jordan Safer
    20. Paraskevi Saridaki
    21. Valentina Sora
    22. Francesca Maselli
    23. Philipp Becker
    24. Jérémy Vinhas
    25. Alberto Pettenella
    26. Matteo Lambrughi
    27. Claudia Cava
    28. Anna Rohlin
    29. Mef Nilbert
    30. Sumaiya Iqbal
    31. Peter Wad Sackett
    32. Burcu Aykac Fas
    33. Elena Papaleo

    Reviewed by Review Commons

    This article has 8 evaluationsAppears in 2 listsLatest version Latest activity
  4. Microbiota impact Drosophila ageing via Acetobacter, Tachykinin, and TkR99D

    This article has 7 authors:
    1. Diana Marcu
    2. David R Sannino
    3. Anthony J Dornan
    4. Rita Ibrahim
    5. Atharv Kapoor
    6. Miriam Wood
    7. Adam J Dobson
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This important study demonstrates that in Drosophila melanogaster, tachykinin (Tk) expression is regulated by the microbiota. The authors present convincing evidence that axenic flies raised with no microbiota are longer-lived than conventionally reared animals, and that Tk expression and Tk receptors in the nervous system are required for this effect. They further test individual bacterial strains for their role in these effects and connect the effect to loss of lipid stores and suggest that FOXO may be involved in the phenotype, results that are of interest to the fields of environmental perception, host microbiome interactions, and geroscience.

      [Editors' note: this paper was reviewed by Review Commons.]

    Reviewed by eLife, Review Commons

    This article has 9 evaluationsAppears in 2 listsLatest version Latest activity
  5. Global molecular landscape of early MASLD progression in obesity

    This article has 21 authors:
    1. Qing Zhao
    2. William De Nardo
    3. Ruoyu Wang
    4. Yi Zhong
    5. Umur Keles
    6. Gabrielé Sakalauskaite
    7. Li Na Zhao
    8. Huiyi Tay
    9. Sonia Youhanna
    10. Mengchao Yan
    11. Ye Xie
    12. Youngrae Kim
    13. Sungdong Lee
    14. Rachel Liyu Lim
    15. Guoshou Teo
    16. Pradeep Narayanaswamy
    17. Paul R Burton
    18. Volker M Lauschke
    19. Hyungwon Choi
    20. Matthew J Watt
    21. Philipp Kaldis
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as analyses highlight the importance of previously-described pathophysiologic processes, as well as unveil several new mechanisms as key features of MASLD in obese patients.

    Reviewed by eLife, Review Commons

    This article has 8 evaluationsAppears in 3 listsLatest version Latest activity