bioRxivGenomicsPreprint
A single-cell spatial transcriptomic census of human skin anatomy
Paula RestrepoiD, Alexis WilderiD, Aubrey E. HouseriD, Angie Ramirez, M. Grace HreniD, Raman Gill, Abiha Kazmi, Larry CheniD, Deniz Demircioglu, Dan HassoniD, Alan SotoiD, Stephanie McQuillaniD, Edgar Gonzalez‐KozlovaiD, Rachel BrodyiD, Benjamin UngariD, Maria KasperiD, Phillip J. Torina, Jesse M. Lewin, Sacha GnjaticiD, Sai MaiD, Andrew L. JiiD
Abstract
The skin is the largest human organ and a site of significant disease burden, yet its cellular and molecular organization across the body are largely undefined. Here, we construct a spatially-resolved single-cell atlas of 1.2 million cells from normal adult human skin to localize 45 cell types across 15 anatomic sites. We define principles of organ-wide cell composition, including axes of cell diversity and specialization, and distinguish site-enriched cell types. Each body site is comprised of 10 multicellular neighborhoods that define cell-cell communication. Notably, we identify a perivascular neighborhood enriched for immune-stromal crosstalk with features resembling a homeostatic immune niche similar to skin-associated lymphoid tissue. Finally, mapping these neighborhoods onto skin disease reveals pathogenic neighborhood disruptions, including pan-disease immune alterations in the perivascular neighborhood. We present a framework charting the skins multiscale spatial organization across a molecular to macroanatomic scale. This work advances our understanding of organ-wide skin cellular organization and communication, and its architectural disruption in disease. HIGHLIGHTSO_LIHuman skin MERFISH spatial atlas of 1.2 million cells from 114 samples and 22 donors C_LIO_LICellular diversity varies along a central to peripheral body site spatial axis C_LIO_LI10 multicellular neighborhoods define skin microanatomy and homeostatic interactions C_LIO_LIHuman skin diseases feature spatial and transcriptional neighborhood remodeling C_LI
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 3
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