Multi-omic and spatial analysis of mouse kidneys highlights sex-specific differences in gene regulation across the lifespan

Manuscript

• Link to the manuscript

Data availability

• Raw data for multiome and Visium have been deposited into GEO: GSE252772.
• Raw and processed data for Xenium have been deposited into GEO: GSE286051.

CellxGene: Interactive web interface for integrated snRNA data

• https://cellxgene.cziscience.com/collections/30af2f92-7d2d-440e-b81c-e66079b5728b
• Available to download from this Integrated snRNA object (.h5ad) and ATAC fragment data

Visium Shiny Web App

• A Shiny web app to visualize Visium cell types and spatial gene expression.

Cite this article

Chen, S., Liu, R., Mo, CK. et al. Multi-omic and spatial analysis of mouse kidneys highlights sex-specific differences in gene regulation across the lifespan. Nat Genet (2025). https://doi.org/10.1038/s41588-025-02161-x