Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma
C. Ganier, P. Mazin, G. Herrera-Oropeza, X. Du-Harpur, M. Blakeley, J. Gabriel, A. Predeus, B. Cakir, M. Prete, N. Harun, J.-F. Darrigrand, A. Haiser, S. Wyles, T. J. Shaw, S. A. Teichmann, M. Haniffa, F. M. Watt, M. D. Lynch
Abstract
Our understanding of how human skin cells differ according to anatomical site and tumour formation is limited. To address this we have created a multi-scale spatial atlas of healthy skin and basal cell carcinoma (BCC), incorporating in vivo optical coherence tomography, single cell RNA sequencing, spatial global transcriptional profiling and in situ sequencing. Computational spatial deconvolution and projection revealed the localisation of distinct cell populations to specific tissue contexts. Although cell populations were conserved between healthy anatomical sites and in BCC, mesenchymal cell populations including fibroblasts and pericytes retained signatures of developmental origin. Spatial profiling and in silico lineage tracing support a hair follicle origin for BCC and demonstrate that cancer-associated fibroblasts are an expansion of a POSTN+ subpopulation associated with hair follicles in healthy skin. RGS5+ pericytes are also expanded in BCC suggesting a role in vascular remodelling. We propose that the identity of mesenchymal cell populations is regulated by signals emanating from adjacent structures and that these signals are repurposed to promote the expansion of skin cancer stroma. The resource we have created is publicly available in an interactive format for the research community. Significance statementSingle cells RNA sequencing has revolutionised cell biology, enabling high resolution analysis of cell types and states within human tissues. Here, we report a comprehensive spatial atlas of adult human skin across different anatomical sites and basal cell carcinoma (BCC) - the most common form of skin cancer - encompassing in vivo optical coherence tomography, single cell RNA sequencing, global spatial transcriptomic profiling and in situ sequencing. In combination these modalities have allowed us to assemble a comprehensive nuclear-resolution atlas of cellular identity in health and disease.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A single-cell spatial transcriptomic census of human skin anatomy
Paula Restrepo, Alexis Wilder, … Andrew L. Ji·bioRxiv·Sep 22, 2025
- A single cell and spatial genomics atlas of human skin fibroblasts in health and disease
Lloyd Steele, Bayanne Olabi, … Muzlifah A. Haniffa·Nature ImmunologyPeer-reviewed·Sep 24, 2025
- Development of an Integrated Single-Cell and Spatial Transcriptomics Atlas of Healthy Human Skin Focusing on the Pilosebaceous Unit
Tolga Düz, Dániel Törőcsik, … Nicholas Holzscheck·bioRxiv·Sep 9, 2025
- Integrating 12 Spatial and Single Cell Technologies to Characterise Tumour Neighbourhoods and Cellular Interactions in three Skin Cancer Types
P. Prakrithi, Laura F. Grice, … Quan Hoang Nguyen·bioRxiv·Jul 25, 2025
- The molecular anatomy of mouse skin during hair growth and rest
S. Joost, K. Annusver, … M. Kasper·bioRxiv·Aug 30, 2019
- Molecular and spatial design of early skin development
Tina Jacob, Karl Annusver, … Maria Kasper·bioRxiv·Dec 28, 2022