1. Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry
- Author
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Zhang, F, Wei, K, Slowikowski, K, Fonseka, CY, Rao, DA, Kelly, S, Goodman, SM, Tabechian, D, Hughes, LB, Salomon-Escoto, K, Watts, GFM, Jonsson, AH, Rangel-Moreno, J, Meednu, N, Rozo, C, Apruzzese, W, Eisenhaure, TM, Lieb, DJ, Boyle, DL, Mandelin, AM, Albrecht, J, Bridges, SL, Buckley, CD, Buckner, JH, Dolan, J, Guthridge, JM, Gutierrez-Arcelus, M, Ivashkiv, LB, James, EA, James, JA, Keegan, J, Lee, YC, McGeachy, MJ, McNamara, MA, Mears, JR, Mizoguchi, F, Nguyen, JP, Noma, A, Orange, DE, Rohani-Pichavant, M, Ritchlin, C, Robinson, WH, Seshadri, A, Sutherby, D, Seifert, J, Turner, JD, Utz, PJ, Boyce, BF, Dicarlo, E, Gravallese, EM, Gregersen, PK, Moreland, L, Firestein, GS, Hacohen, N, Nusbaum, C, Lederer, JA, Perlman, H, Pitzalis, C, Filer, A, Holers, VM, Bykerk, VP, Donlin, LT, Anolik, JH, Brenner, MB, and Raychaudhuri, S
- Subjects
0301 basic medicine ,Immunology ,Cell ,Arthritis ,Gene Expression ,Autoimmunity ,Monocytes ,Article ,Flow cytometry ,GZMB ,Workflow ,Arthritis, Rheumatoid ,03 medical and health sciences ,0302 clinical medicine ,GNLY ,T-Lymphocyte Subsets ,medicine ,Leukocytes ,Immunology and Allergy ,Humans ,CD90 ,Mass cytometry ,medicine.diagnostic_test ,Chemistry ,Gene Expression Profiling ,Synovial Membrane ,Histocompatibility Antigens Class II ,Computational Biology ,High-Throughput Nucleotide Sequencing ,Fibroblasts ,medicine.disease ,Flow Cytometry ,Molecular biology ,030104 developmental biology ,medicine.anatomical_structure ,Cross-Sectional Studies ,Cytokines ,Single-Cell Analysis ,Transcriptome ,CD8 ,Biomarkers ,030215 immunology ,Signal Transduction - Abstract
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-DRAhisublining fibroblasts,IL1B+pro-inflammatory monocytes,ITGAX+TBX21+autoimmune-associated B cells andPDCD1+peripheral helper T (TPH) cells and follicular helper T (TFH) cells. We defined distinct subsets of CD8+T cells characterized byGZMK+,GZMB+, andGNLY+phenotypes. We mapped inflammatory mediators to their source cell populations; for example, we attributedIL6expression toTHY1+HLA-DRAhifibroblasts andIL1Bproduction to pro-inflammatory monocytes. These populations are potentially key mediators of RA pathogenesis.
- Published
- 2019