Human CD4+ T-cell transcriptome in early arthritis
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE20098 | GEO | 2012/03/03
SECONDARY ACCESSION(S): PRJNA124345
REPOSITORIES: GEO
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Project description:An exploration of the peripheral blood CD4+ T-cell transcriptome of early arthritis clinic attendees, seeking novel diagnostic tools and pathophysiological insights. Ex-vivo CD4+ T-cell RNA was obtained following first early arthritis clinic attendance from 173 patients. Four diagnostic categories were confirmed at median 28 months follow-up. Outcome categories are ACPA- RA (A; n=31), ACPA+ RA (B; n=41), Non-RA Inflammatory arthritis (C; n=56), and Non-RA/Non-Inflammatory arthritis (D; n=45). In order to derive and validate a diagnostic gene signature, samples were split into Training set (where patients could be diagnosed at presentation; n=111) and validation set of undifferentiated arthritis (UA; n=62) patients, in whom diagnosis could only be confirmed after the follow-up period. Arrays were processed in two phases (phases 1 and 2). Phase 1 was split into 4 labelling batches, Phase 2 was split into 2 labelling batches. Batch effects were controlled for using this information using the empirical Bayes approach of Johnson et al. (2007). The supplementary file 'GSE20098_non-normalized.txt' contains non-normalized data for Samples GSM502124-GSM502280 and GSM506251-GSM506266.
2012-03-03 | E-GEOD-20098 | biostudies-arrayexpress
Project description:An exploration of the peripheral blood CD4+ T-cell transcriptome of early arthritis clinic attendees, (i) to provide validation of previously published observations, and (ii) to facilitate an eQTL analysis.
2018-04-03 | GSE80513 | GEO
Project description:We hypothesised that sustained exposure of naïve CD4+ T cells to IL-6 might imprint them with a distinct transcriptional programme, whose molecular and functional consequences following subsequent TCR ligation was relevant to disease development. Preexposure of healthy naïve CD4+ T-cells to pathophysiological levels of the cytokine caused induction of STAT3 target genes known to discriminate RA patients from disease controls in the clinic. After TCR stimulation IL-6 pre-exposed cells exhibited enhanced proliferative capacity, activation and a propensity towards Th1 differentiation, compared to non-exposed cells.
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Project description:242 patients recruited from an early arthritis clinic donated RNA and DNA from freshly isolated and purified peripheral blood CD19+ B cells. Global gene expression measurement was carried out using Illumina BeadChip HT12v4 microarrays. Objectives included the identification of B cell transcripts differentially expressed between disease phenotypes, where all patients were naive to immunomodulatory therapy. In addition an eQTL analysis was carried out with reference to known genotype data for this cohort of patients
2018-04-18 | GSE100648 | GEO
Project description: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 data from isolated CD4+ T 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.
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Project description:Early arthritis CD4+ T cell DNA methylation profiling
| PRJNA565981 | ENA
Project description: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 data from isolated 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.
2019-12-17 | GSE137594 | GEO
Project description:Systemic juvenile idiopathic arthritis (SJIA) is a clinically heterogenous systemic inflammatory disorder sometimes complicated by macrophage activation syndrome (MAS) and lung disease (LD), which are thought to be driven by IFN signaling. To identify cellular sources and novel gene programs underlying SJIA pathogenesis, we performed the first in-depth single-cell RNA Sequencing (scRNA-Seq) analysis of 21 SJIA, SJIA-LD, and SJIA-MAS patient PBMCs. To define novel heterogenous patient-subtypes associated with shared transcriptional responses and associate these with clinical and diagnostic metadata, we developed the tools UDON and SATAY-UDON. These tools identify hidden patient-subtypes, including a novel Complement and IFN signaling gene program expressed by SJIA-LD monocyte populations, unravel cellular sources of IFN signaling in SJIA-MAS as CD4 T cells and monocytic cell types, and identify a previously unknown role for platelets and S100 proteins as drivers of systemic inflammation. These data provide insights into new potential therapeutic targets for SJIA complications.
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Project description:Rheumatoid arthritis (RA) is an autoimmune disease that causes chronic inflammation of the joints involved with genetic and epigenetic aberrant. Recent evidence found more and more importance of the epigenetic contribution, especially the DNA methylation, to the pathogenesis of rheumatoid arthritis. To understand the extent and nature of dysregulated DNA methylation in rheumatoid arthritis T cells, we performed a genome-wide DNA methylation study in CD4+ T cells in 12 rheumatoid arthritis patients compared to 12 matched normal healthy controls. [Methods and Result] Cytosine methylation status was quantified with Illumina methylation 450K microarray (HM450K, 485512 CpG sites). We identified 810 hypomethylated and 392 hypermethylated CG sites in RA CD4+ T cells compared to normal controls, representing 383 and 785 genes hypermethylated and hypomethylated in RA patients (P<3.4*10-7). Cluster analysis based on significantly differential methylated loci showed distinct separation between RA and normal controls. Gene ontology analysis showed alternative splicing (P=1.2*10-7, FDR) and phosphoprotein (1.7*10-2, FDR) were significantly aberrant in RA patients, indicating the abnormal of transcript alternative splicing and protein modification mediated by DNA methylation might play important role in the pathogenesis of rheumatoid arthritis. What’s more, the result showed human leukocyte antigen (HLA) region was frequently hypomethylated in RA patients, including HLA-DRB6, HLA-DQA1 and HLA-E, however, HLA-DQB1 showed different methylation profiles with significant hypermethylation in CpG island region and hypomethylation in CpG shelf region. Outsite of the MHC region, the most hypermethylated genes in RA included HDAC4, NXN, TBCD and TMEM61 while the most significant hypomethylated genes included ITIH3, TCN2, PRDM16, SLC1A5 and GALNT9. [Conclusion] Genome-wide DNA methylation patterns revealed significant DNA methylation change in CD4+ T cells from patients with rheumatoid arthritis. 12 rheumatoid arthritis and 12 matched health individuals
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Project description:The expression of 723 mature miRNAs in peripheral blood mononuclear cells of patients with early, active psoriatic arthritis ,early-rheumatoid arthritis (ERA) (both groups treatment naïve) and of healthy controls (HC) was analysed using a miRNA microarray.
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