Transcriptomics

Dataset Information

0

Single-cell transcriptome analysis of human skin identifies novel fibroblast subpopulation and enrichment of immune subsets in atopic dermatitis


ABSTRACT: Background: Atopic dermatitis (AD) is a prevalent inflammatory skin disease with a complex pathogenesis, involving immune cell and epidermal abnormalities. Despite whole tissue biopsy studies that have advanced the mechanistic understanding of AD, single-cell-based molecular alterations are largely unknown. Objective: To construct a detailed, high-resolution atlas of cell populations, and to assess variability in cell composition and cell-specific gene expression in the skin of AD patients versus controls. Methods: We performed single-cell RNA-sequencing on skin biopsies from 5 patients with AD (4 lesional samples, 5 non-lesional samples) and 7 healthy control subjects, using 10x Genomics. Results: We created transcriptomic profiles for 39,042 AD (lesional and non-lesional) and healthy skin cells. Fibroblasts demonstrated a novel COL6A5+COL18A1+ subpopulation that was unique to lesional AD, and expressed CCL2 and CCL19 cytokines. A corresponding LAMP3+ dendritic cell (DC) population that expressed the CCL19 receptor CCR7 was also unique to AD lesions, illustrating a potential role for fibroblast signaling to immune cells. Lesional AD samples were characterized by expansion of inflammatory DCs (CD1A+FCER1A+) and tissue resident memory T-cells (CD69+CD103+). The frequencies of type 2 (IL13+)/type 22 (IL22+) T-cells were higher than type 1 (IFNG+) in lesional AD, while this ratio was diminished slightly in non-lesional AD and further in controls. Conclusion: AD lesions were characterized by expanded type 2/type 22 T-cells and inflammatory DCs, and a unique inflammatory fibroblast that may interact with immune cells to regulate lymphoid cell organization and type 2 inflammation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE147424 | GEO | 2020/03/24

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2023-06-14 | GSE197023 | GEO
2024-08-22 | PXD050245 | Pride
2016-03-08 | E-GEOD-75890 | biostudies-arrayexpress
2010-06-08 | E-GEOD-20264 | biostudies-arrayexpress
2011-11-30 | E-GEOD-32407 | biostudies-arrayexpress
2010-05-24 | GSE20264 | GEO
2024-12-13 | GSE158955 | GEO
2022-10-04 | PXD025431 | Pride
2016-03-08 | GSE75890 | GEO
2011-11-30 | GSE32407 | GEO