Arthritis & rheumatology (Hoboken, N.J.) · 2019
Association of Dendritic Cell Signatures With Autoimmune Inflammation Revealed by Single-Cell Profiling.
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Ashton Michelle P, Eugster Anne, Dietz Sevina, Loebel Doreen, Lindner Annett, Kuehn Denise, Taranko Anna E, Heschel Babett, Gavrisan Anita, Ziegler Anette-Gabriele, Aringer Martin, Bonifacio Ezio
Аннотация
OBJECTIVE: To identify single-cell transcriptional signatures of dendritic cells (DCs) that are associated with autoimmunity, and determine whether those DC signatures are correlated with the clinical heterogeneity of autoimmune disease.
METHODS: Blood-derived DCs were single-cell sorted from the peripheral blood of patients with rheumatoid arthritis, systemic lupus erythematosus, or type 1 diabetes as well as healthy individuals. DCs were analyzed using single-cell gene expression assays, performed immediately after isolation or after in vitro stimulation of the cells. In addition, protein expression was measured using fluorescence-activated cell sorting.
RESULTS: CD1c+ conventional DCs and plasmacytoid DCs from healthy individuals exhibited diverse transcriptional signatures, while the DC transcriptional signatures in patients with autoimmune disease were altered. In particular, distinct DC clusters, characterized by up-regulation of TAP1, IRF7, and IFNAR1, were abundant in patients with systemic autoimmune disease, whereas DCs from patients with type 1 diabetes had decreased expression of the regulatory genes PTPN6, TGFB, and TYROBP. The frequency of CD1c+ conventional DCs that expressed a systemic autoimmune profile directly correlated with the extent of disease activity in patients with rheumatoid arthritis (Spearman's r = 0.60, P = 0.03).
CONCLUSION: DC transcriptional signatures are altered in patients with autoimmune disease and are associated with the level of disease activity, suggesting that immune cell transcriptional profiling could improve our ability to detect and understand the heterogeneity of these diseases, and could guide treatment choices in patients with a complex autoimmune disease.
METHODS: Blood-derived DCs were single-cell sorted from the peripheral blood of patients with rheumatoid arthritis, systemic lupus erythematosus, or type 1 diabetes as well as healthy individuals. DCs were analyzed using single-cell gene expression assays, performed immediately after isolation or after in vitro stimulation of the cells. In addition, protein expression was measured using fluorescence-activated cell sorting.
RESULTS: CD1c+ conventional DCs and plasmacytoid DCs from healthy individuals exhibited diverse transcriptional signatures, while the DC transcriptional signatures in patients with autoimmune disease were altered. In particular, distinct DC clusters, characterized by up-regulation of TAP1, IRF7, and IFNAR1, were abundant in patients with systemic autoimmune disease, whereas DCs from patients with type 1 diabetes had decreased expression of the regulatory genes PTPN6, TGFB, and TYROBP. The frequency of CD1c+ conventional DCs that expressed a systemic autoimmune profile directly correlated with the extent of disease activity in patients with rheumatoid arthritis (Spearman's r = 0.60, P = 0.03).
CONCLUSION: DC transcriptional signatures are altered in patients with autoimmune disease and are associated with the level of disease activity, suggesting that immune cell transcriptional profiling could improve our ability to detect and understand the heterogeneity of these diseases, and could guide treatment choices in patients with a complex autoimmune disease.
Предметные рубрики MeSH
ATP Binding Cassette Transporter, Subfamily B, Member 2Adaptor Proteins, Signal TransducingArthritis, RheumatoidAutoimmune DiseasesCase-Control StudiesDendritic CellsDiabetes Mellitus, Type 1Flow CytometryGene Expression ProfilingHumansInflammationInterferon Regulatory Factor-7Lupus Erythematosus, SystemicMembrane ProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 6Receptor, Interferon alpha-betaSeverity of Illness IndexSingle-Cell AnalysisTransforming Growth Factor betaUp-Regulation