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Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry
Ist Teil von
Nature immunology, 2019-07, Vol.20 (7), p.928-942
Ort / Verlag
United States
Erscheinungsjahr
2019
Quelle
MEDLINE
Beschreibungen/Notizen
To define the cell populations that drive joint inflammation in rheumatoid arthritis (RA), we applied single-cell RNA sequencing (scRNA-seq), mass cytometry, bulk RNA sequencing (RNA-seq) and flow cytometry to T cells, B cells, monocytes, and fibroblasts from 51 samples of synovial tissue from patients with RA or osteoarthritis (OA). Utilizing an integrated strategy based on canonical correlation analysis of 5,265 scRNA-seq profiles, we identified 18 unique cell populations. Combining mass cytometry and transcriptomics revealed cell states expanded in RA synovia: THY1(CD90)
HLA-DRA
sublining fibroblasts, IL1B
pro-inflammatory monocytes, ITGAX
TBX21
autoimmune-associated B cells and PDCD1
peripheral helper T (T
) cells and follicular helper T (T
) cells. We defined distinct subsets of CD8
T cells characterized by GZMK
, GZMB
, and GNLY
phenotypes. We mapped inflammatory mediators to their source cell populations; for example, we attributed IL6 expression to THY1
HLA-DRA
fibroblasts and IL1B production to pro-inflammatory monocytes. These populations are potentially key mediators of RA pathogenesis.