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ABSTRACT: Background
The aim of this study was to identify the molecular mechanism of dysregulation of B cell subpopulations of primary Sjögren's syndrome (pSS) at the transcriptome level.Methods
We enrolled patients with pSS (n = 6) and healthy controls (HCs) (n = 6) in the discovery cohort using microarray and pSS (n = 14) and HCs (n = 12) in the validation cohort using quantitative PCR (qPCR). Peripheral B cells acquired from these subjects were separated by cell sorting into four subsets: CD38-IgD+ (Bm1), CD38+IgD+ (naive B cells), CD38highIgD+ (pre-germinal centre B cells) and CD38±IgD- (memory B cells). We performed differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA).Results
Expression of the long non-coding RNA LINC00487 was significantly upregulated in all B cell subsets, as was that of HLA and interferon (IFN) signature genes. Moreover, the normalized intensity value of LINC00487 significantly correlated with the disease activity score of all pSS B cell subsets. Studies of human B cell lines revealed that the expression of LINC00487 was strongly induced by IFNα. WGCNA revealed six gene clusters associated with the B cell subpopulation of pSS. Further, SOX4 was identified as an inter-module hub gene.Conclusion
Our transcriptome analysis revealed key genes involved in the dysregulation of B cell subpopulations associated with pSS.Trial registration
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SUBMITTER: Inamo J
PROVIDER: S-EPMC7310138 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Inamo Jun J Suzuki Katsuya K Takeshita Masaru M Kassai Yoshiaki Y Takiguchi Maiko M Kurisu Rina R Okuzono Yuumi Y Tasaki Shinya S Yoshimura Akihiko A Takeuchi Tsutomu T
Arthritis research & therapy 20200622 1
<h4>Background</h4>The aim of this study was to identify the molecular mechanism of dysregulation of B cell subpopulations of primary Sjögren's syndrome (pSS) at the transcriptome level.<h4>Methods</h4>We enrolled patients with pSS (n = 6) and healthy controls (HCs) (n = 6) in the discovery cohort using microarray and pSS (n = 14) and HCs (n = 12) in the validation cohort using quantitative PCR (qPCR). Peripheral B cells acquired from these subjects were separated by cell sorting into four subse ...[more]