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Transcriptional data of inflamatory arthritis T cells.

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE141934
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With a focus on rheumatoid arthritis (RA), we sought new insight into genetic mechanisms of adaptive immune dysregulation to help prioritise molecular pathways for targeting in this and related immune pathologies. Whole genome methylation and transcriptional data from isolated CD4+ T cells and B cells of >100 genotyped and phenotyped inflammatory arthritis patients, all of whom were naïve to immunomodulatory treatments, were obtained. Analysis integrated these comprehensive data with GWAS findings across IMDs and other publically available resources. Suspected inflammatory arthritis patients of Northern European ancestry were recruited prior to treatment with immunomodulatory drugs. RA patients were classified using current, internationally accepted criteria, and matched with disease controls in respect of demographic and clinical characteristics. CD4+ cells were isolated from fresh peripheral blood using magnetic bead-based positive selection, with isolation of paired, high-integrity RNA and DNA using the AllPrep DNA/RNA Mini Kit (Qiagen, UK). The majority of samples are from GSE80513.
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2020-03-17
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