Transcriptional Programming of Normal and Inflamed Human Epidermis at Single-Cell Resolution
Author(s) -
Jeffrey B. Cheng,
Andrew J. Sedgewick,
Alex Finnegan,
Paymann Harirchian,
Jerry Lee,
Sunjong Kwon,
Marlys S. Fassett,
Justin Golovato,
Matthew A. Gray,
Ruby Ghadially,
Wilson Liao,
Bethany E. Perez White,
Theodora M. Mauro,
Thaddeus W. Mully,
Esther A. Kim,
Hani Sbitany,
Isaac Neuhaus,
Roy C. Grekin,
Siegrid S. Yu,
Joe W. Gray,
Elizabeth Purdom,
Ralf Paus,
Charles Vaske,
Stephen C. Benz,
Jun S. Song,
Raymond J. Cho
Publication year - 2018
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2018.09.006
Subject(s) - epidermis (zoology) , resolution (logic) , microbiology and biotechnology , cell , biology , computational biology , computer science , anatomy , genetics , artificial intelligence
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 IL1β hi CCL3 hi CD14 + 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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