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

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 S. Yu, Joe W. Gray, Elizabeth Purdom, Ralf Paus, Charles J. Vaske, Stephen C. Benz, Jun S. Song, Raymond J. Cho

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.

Datasets

1. Skin
Metadata
Re-annotation
assay_ontology_term_id
cell_type_ontology_term_id
development_stage_ontology_term_id
disease_ontology_term_id
donor_id
organism_ontology_term_id
self_reported_ethnicity_ontology_term_id
sex_ontology_term_id
suspension_type
tissue_ontology_term_id
tissue_type
cell_type
assay
disease
organism
sex
tissue
self_reported_ethnicity
development_stage
spinous26321 cells
basal220139 cells
basal16710 cells
melanocyte4280 cells
folicular3396 cells
mitotic3258 cells
WNT11821 cells
channel1140 cells
immune759 cells
granular212 cells
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Transcriptional Programming of Normal and Inflamed Human Epidermis at Single-Cell Resolution

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Source data

https://cellxgene.cziscience.com/collections/43d4bb39-21af-4d05-b973-4c1fed7b916c

Alias names

EGAS00001002927, PMID30355494, PMC6367716

Cite this study

Cheng, J.B., Sedgewick, A.J., Finnegan, A.I., Harirchian, P., Lee, J., Kwon, S., Fassett, M.S., Golovato, J., Gray, M., Ghadially, R. and Liao, W., 2018. Transcriptional programming of normal and inflamed human epidermis at single-cell resolution. Cell reports, 25(4), pp.871-883. https://doi.org/10.1016/j.celrep.2018.09.006