{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12"],"submitter":["Li Yim AYF"],"funding":["Horizon 2020 Framework Programme"],"pubmed_abstract":["In this study, we sought to characterize synovial tissue obtained from individuals with arthralgia and disease-specific auto-antibodies and patients with established rheumatoid arthritis (RA), by applying an integrative multi-omics approach where we investigated differences at the level of DNA methylation and gene expression in relation to disease pathogenesis. We performed concurrent whole-genome bisulphite sequencing and RNA-Sequencing on synovial tissue obtained from the knee and ankle from 4 auto-antibody positive arthralgia patients and thirteen RA patients. Through multi-omics factor analysis we observed that the latent factor explaining the variance in gene expression and DNA methylation was associated with Swollen Joint Count 66 (SJC66), with patients with SJC66 of 9 or more displa"],"journal":["Frontiers in immunology"],"pagination":["651475"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8100206"],"repository":["biostudies-literature"],"pubmed_title":["Novel Insights Into Rheumatoid Arthritis Through Characterization of Concordant Changes in DNA Methylation and Gene Expression in Synovial Biopsies of Patients With Differing Numbers of Swollen Joints."],"pmcid":["PMC8100206"],"pubmed_authors":["van de Sande MGH","Prinjha RK","Larminie C","Gerlag DM","Li Yim AYF","Mannens MMAM","Ferrero E","Maratou K","Lewis HD","Royal G","de Jonge WJ","Tak PP","Tough DF","Henneman P"],"additional_accession":[]},"is_claimable":false,"name":"Novel Insights Into Rheumatoid Arthritis Through Characterization of Concordant Changes in DNA Methylation and Gene Expression in Synovial Biopsies of Patients With Differing Numbers of Swollen Joints.","description":"In this study, we sought to characterize synovial tissue obtained from individuals with arthralgia and disease-specific auto-antibodies and patients with established rheumatoid arthritis (RA), by applying an integrative multi-omics approach where we investigated differences at the level of DNA methylation and gene expression in relation to disease pathogenesis. We performed concurrent whole-genome bisulphite sequencing and RNA-Sequencing on synovial tissue obtained from the knee and ankle from 4 auto-antibody positive arthralgia patients and thirteen RA patients. Through multi-omics factor analysis we observed that the latent factor explaining the variance in gene expression and DNA methylation was associated with Swollen Joint Count 66 (SJC66), with patients with SJC66 of 9 or more displa","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021","modification":"2026-04-07T18:55:38.925Z","creation":"2025-02-19T00:19:06.037Z"},"accession":"S-EPMC8100206","cross_references":{"pubmed":["33968050"],"doi":["10.3389/fimmu.2021.651475"]}}