Autoimmune disease-associated gene expression is reduced by BET-inhibition.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:26981351", "kind": "science-record", "revision": 6, "content_hash": "sha256:b938d63c336733a438c6421f208a995564ab780c6be16795a5c1ae2ec1af9ecc", "created_at": "2026-11-01T15:40:16Z", "updated_at": "2026-11-01T21:20:27Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Autoimmune disease-associated gene expression is reduced by BET-inhibition.", "doi": "10.1016/j.gdata.2015.11.004", "pmid": "26981351", "authors": ["Janneke G C Peeters", "Stephin J Vervoort", "Gerdien Mijnheer", "Sytze de Roock", "Sebastiaan J Vastert", "Edward E S Nieuwenhuis", "Femke van Wijk", "Berent J Prakken", "Michal Mokry", "Jorg van Loosdregt"], "journal": "Genomics data", "year": 2016, "abstract": "For many autoimmune diseases, the underlying mechanism is still unknown. In order to get more insight into the etiology of autoimmune diseases, we recently published a study were we performed epigenetic profiling and RNA sequencing on CD4(+)CD45RO(+) T cells derived from the site of inflammation of Juvenile Idiopathic Arthritis (JIA) patients and compared this with healthy controls [1]. In this \"Data in Brief\", we focus on the analysis of our RNA sequencing data reported in this study, of which the raw and processed files can be found in GEO under GSE71595. We provide a detailed description of the downstream analysis, quality controls, and different analysis methods or techniques that validate the results obtained with RNA-sequencing.", "claims": [{"id": "claim-method", "statement": "The resulting transcriptome was used for differential gene expression analysis using Cuffdiff. 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