IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-62599-9.html
   My bibliography  Save this article

Multimodal spatial transcriptomic characterization of mouse kidney injury and repair

Author

Listed:
  • Qiao Xuanyuan

    (Washington University in St. Louis School of Medicine)

  • Haojia Wu

    (Washington University in St. Louis School of Medicine)

  • Hemalatha Sundaramoorthi

    (Washington University in St. Louis School of Medicine)

  • Pierre Isnard

    (Washington University in St. Louis School of Medicine
    Paris-Cité University)

  • Changfeng Chen

    (Washington University in St. Louis School of Medicine)

  • Waleed Rahmani

    (Washington University in St. Louis School of Medicine)

  • Benjamin D. Humphreys

    (Washington University in St. Louis School of Medicine
    Washington University in St. Louis School of Medicine)

Abstract

The transition from acute kidney injury to chronic kidney disease is characterized by significant changes in the cellular composition and molecular interactions within the kidney. Utilizing high-resolution Xenium and whole transcriptome Visium spatial transcriptomics platforms, we analyze over a million cells on 12 male mouse kidneys across six stages of renal injury and repair. We define and validate 20 major kidney cell populations and delineate distinct cellular neighborhoods through this multimodal spatial analysis. We further reveal a specific fibro-inflammatory niche enriched in failed-repair proximal tubule cells, fibroblasts, and immune cells, with conserved neighborhood gene signatures across mouse and human. Within this niche, we predict Runx2 as a key upstream regulator, along with platelet-derived growth factor and integrin beta-2 signaling pathways shaping the fibrogenic microenvironment. Altogether, our study provides deep insights into the cellular and molecular dynamics during kidney injury and repair and establishes a comprehensive multimodal analytical framework applicable to other spatial omics studies.

Suggested Citation

  • Qiao Xuanyuan & Haojia Wu & Hemalatha Sundaramoorthi & Pierre Isnard & Changfeng Chen & Waleed Rahmani & Benjamin D. Humphreys, 2025. "Multimodal spatial transcriptomic characterization of mouse kidney injury and repair," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62599-9
    DOI: 10.1038/s41467-025-62599-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-62599-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-62599-9?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
    ---><---

    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:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62599-9. 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.