IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v638y2025i8050d10.1038_s41586-024-08243-w.html
   My bibliography  Save this article

MorPhiC Consortium: towards functional characterization of all human genes

Author

Listed:
  • Mazhar Adli

    (Feinberg School of Medicine)

  • Laralynne Przybyla

    (University of California)

  • Tony Burdett

    (European Molecular Biology Laboratory)

  • Paul W. Burridge

    (Feinberg School of Medicine)

  • Pilar Cacheiro

    (Queen Mary University of London)

  • Howard Y. Chang

    (Stanford University)

  • Jesse M. Engreitz

    (Stanford University
    Stanford University)

  • Luke A. Gilbert

    (University of California)

  • William J. Greenleaf

    (Stanford University)

  • Li Hsu

    (Fred Hutchinson Cancer Center)

  • Danwei Huangfu

    (Sloan Kettering Institute)

  • Ling-Hong Hung

    (University of Washington Tacoma)

  • Anshul Kundaje

    (Stanford University)

  • Sheng Li

    (The Jackson Laboratory for Genomic Medicine)

  • Helen Parkinson

    (European Molecular Biology Laboratory)

  • Xiaojie Qiu

    (Stanford University
    Stanford University)

  • Paul Robson

    (The Jackson Laboratory for Genomic Medicine)

  • Stephan C. Schürer

    (University of Miami)

  • Ali Shojaie

    (University of Washington)

  • William C. Skarnes

    (The Jackson Laboratory for Genomic Medicine)

  • Damian Smedley

    (Queen Mary University of London)

  • Lorenz Studer

    (Sloan Kettering Institute)

  • Wei Sun

    (Fred Hutchinson Cancer Center)

  • Dušica Vidović

    (University of Miami)

  • Thomas Vierbuchen

    (Sloan Kettering Institute)

  • Brian S. White

    (The Jackson Laboratory for Genomic Medicine)

  • Ka Yee Yeung

    (University of Washington Tacoma)

  • Feng Yue

    (Feinberg School of Medicine)

  • Ting Zhou

    (Sloan Kettering Institute)

Abstract

Recent advances in functional genomics and human cellular models have substantially enhanced our understanding of the structure and regulation of the human genome. However, our grasp of the molecular functions of human genes remains incomplete and biased towards specific gene classes. The Molecular Phenotypes of Null Alleles in Cells (MorPhiC) Consortium aims to address this gap by creating a comprehensive catalogue of the molecular and cellular phenotypes associated with null alleles of all human genes using in vitro multicellular systems. In this Perspective, we present the strategic vision of the MorPhiC Consortium and discuss various strategies for generating null alleles, as well as the challenges involved. We describe the cellular models and scalable phenotypic readouts that will be used in the consortium’s initial phase, focusing on 1,000 protein-coding genes. The resulting molecular and cellular data will be compiled into a catalogue of null-allele phenotypes. The methodologies developed in this phase will establish best practices for extending these approaches to all human protein-coding genes. The resources generated—including engineered cell lines, plasmids, phenotypic data, genomic information and computational tools—will be made available to the broader research community to facilitate deeper insights into human gene functions.

Suggested Citation

  • Mazhar Adli & Laralynne Przybyla & Tony Burdett & Paul W. Burridge & Pilar Cacheiro & Howard Y. Chang & Jesse M. Engreitz & Luke A. Gilbert & William J. Greenleaf & Li Hsu & Danwei Huangfu & Ling-Hong, 2025. "MorPhiC Consortium: towards functional characterization of all human genes," Nature, Nature, vol. 638(8050), pages 351-359, February.
  • Handle: RePEc:nat:nature:v:638:y:2025:i:8050:d:10.1038_s41586-024-08243-w
    DOI: 10.1038/s41586-024-08243-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-024-08243-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-024-08243-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:638:y:2025:i:8050:d:10.1038_s41586-024-08243-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.