IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v637y2025i8048d10.1038_s41586-024-08338-4.html
   My bibliography  Save this article

The Human Cell Atlas from a cell census to a unified foundation model

Author

Listed:
  • Jennifer E. Rood

    (Human Cell Atlas
    Genentech)

  • Samantha Wynne

    (Human Cell Atlas)

  • Lucia Robson

    (Human Cell Atlas)

  • Anna Hupalowska

    (Human Cell Atlas
    Genentech)

  • John Randell

    (Human Cell Atlas)

  • Sarah A. Teichmann

    (Human Cell Atlas
    Cambridge Biomedical Campus)

  • Aviv Regev

    (Human Cell Atlas
    Genentech)

Abstract

With the convergence of notable advances in molecular and spatial profiling methods and new computational approaches taking advantage of artificial intelligence and machine learning, the construction of cell atlases is progressing from data collection to atlas integration and beyond. Here, we explore five ways in which cell atlases, including the Human Cell Atlas, are already revealing valuable biological insights, and how they are poised to provide even greater benefits in the coming years. In particular, we discuss cell atlases as censuses of cells; as 3D maps of cells in the body, across modalities and scales; as maps connecting genotype causes to phenotype effects; as 4D maps of development; and, ultimately, as foundation models of biology unifying all of these aspects and helping to transform medicine.

Suggested Citation

  • Jennifer E. Rood & Samantha Wynne & Lucia Robson & Anna Hupalowska & John Randell & Sarah A. Teichmann & Aviv Regev, 2025. "The Human Cell Atlas from a cell census to a unified foundation model," Nature, Nature, vol. 637(8048), pages 1065-1071, January.
  • Handle: RePEc:nat:nature:v:637:y:2025:i:8048:d:10.1038_s41586-024-08338-4
    DOI: 10.1038/s41586-024-08338-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-024-08338-4
    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/s41586-024-08338-4?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:637:y:2025:i:8048:d:10.1038_s41586-024-08338-4. 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.