Single-Cell and Spatial Transcriptomic Analysis of Human Skin Delineates Intercellular Communication and Pathogenic Cells

Kim Thrane, Mårten C.G. Winge, Hongyu Wang, Larry Chen, Margaret G. Guo, Alma Andersson, Xesús M. Abalo, Xue Yang, Daniel S. Kim, Sophia K. Longo, Brian Y. Soong, Jordan M. Meyers, David L. Reynolds, Aaron McGeever, Deniz Demircioglu, Dan Hasson, Reza Mirzazadeh, Adam J. Rubin, Gordon H. Bae, Jim KarkaniasKerri Rieger, Joakim Lundeberg, Andrew L. Ji

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Epidermal homeostasis is governed by a balance between keratinocyte proliferation and differentiation with contributions from cell–cell interactions, but conserved or divergent mechanisms governing this equilibrium across species and how an imbalance contributes to skin disease are largely undefined. To address these questions, human skin single-cell RNA sequencing and spatial transcriptomics data were integrated and compared with mouse skin data. Human skin cell–type annotation was improved using matched spatial transcriptomics data, highlighting the importance of spatial context in cell-type identity, and spatial transcriptomics refined cellular communication inference. In cross-species analyses, we identified a human spinous keratinocyte subpopulation that exhibited proliferative capacity and a heavy metal processing signature, which was absent in mouse and may account for species differences in epidermal thickness. This human subpopulation was expanded in psoriasis and zinc-deficiency dermatitis, attesting to disease relevance and suggesting a paradigm of subpopulation dysfunction as a hallmark of the disease. To assess additional potential subpopulation drivers of skin diseases, we performed cell-of-origin enrichment analysis within genodermatoses, nominating pathogenic cell subpopulations and their communication pathways, which highlighted multiple potential therapeutic targets. This integrated dataset is encompassed in a publicly available web resource to aid mechanistic and translational studies of normal and diseased skin.

Original languageEnglish
Pages (from-to)2177-2192.e13
JournalJournal of Investigative Dermatology
Issue number11
StatePublished - Nov 2023


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