Transcriptional Programming of Normal and Inflamed Human Epidermis at Single-Cell Resolution

单细胞分辨率下正常和发炎人类表皮的转录编程

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作者:Jeffrey B Cheng, Andrew J Sedgewick, Alex I Finnegan, Paymann Harirchian, Jerry Lee, Sunjong Kwon, Marlys S Fassett, Justin Golovato, Matthew Gray, Ruby Ghadially, Wilson Liao, Bethany E Perez White, Theodora M Mauro, Thaddeus Mully, Esther A Kim, Hani Sbitany, Isaac M Neuhaus, Roy C Grekin, Siegrid

Abstract

Perturbations in the transcriptional programs specifying epidermal differentiation cause diverse skin pathologies ranging from impaired barrier function to inflammatory skin disease. However, the global scope and organization of this complex cellular program remain undefined. Here we report single-cell RNA sequencing profiles of 92,889 human epidermal cells from 9 normal and 3 inflamed skin samples. Transcriptomics-derived keratinocyte subpopulations reflect classic epidermal strata but also sharply compartmentalize epithelial functions such as cell-cell communication, inflammation, and WNT pathway modulation. In keratinocytes, ∼12% of assessed transcript expression varies in coordinate patterns, revealing undescribed gene expression programs governing epidermal homeostasis. We also identify molecular fingerprints of inflammatory skin states, including S100 activation in the interfollicular epidermis of normal scalp, enrichment of a CD1C+CD301A+ myeloid dendritic cell population in psoriatic epidermis, and IL1βhiCCL3hiCD14+ monocyte-derived macrophages enriched in foreskin. This compendium of RNA profiles provides a critical step toward elucidating epidermal diseases of development, differentiation, and inflammation.

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