Skin fibroblast subtypes are uncertain, and different studies typically use distinct nomenclature. We performed the largest integration of scRNA-seq data for skin fibroblasts, combined with single-cell resolution spatial transcriptomics, to decode fibroblast heterogeneity.
"Integration" contains scripts used for integration
"Figures" contains scripts for producing figures \
Data (scRNA and Xenium) can be visualized and downloaded here: https://app.cellatlas.io/skin-fibroblast/ https://collections.cellatlas.io/skin-fibroblast
Steele, L. et al. A single-cell and spatial genomics atlas of human skin fibroblasts reveals shared disease-related fibroblast subtypes across tissues. Nat. Immunol. 1–14 (2025).
ls34@sanger.ac.uk Wellcome Sanger Institute, Cambridge