E-GEOD-55235
Ontology highlight
ABSTRACT:
PROVIDER: E-GEOD-55235 | ExpressionAtlas | 2019-03-20
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation
| PRJNA238979 | ENA
Project description:Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation [Leipzig]
| PRJNA240148 | ENA
Project description:Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation [Jena]
| PRJNA240150 | ENA
Project description:Autoimmune rheumatic diseases are complex disorders, whose etiopathology is attributed to a crosstalk between genetic predisposition and environmental factors. Both variants of autoimmune susceptibility genes and environment are involved in the generation of aberrant epigenetic profiles in a cell-specific manner, which ultimately result in dysregulation of expression. Furthermore, changes in miRNA expression profiles also cause gene dysregulation associated with aberrant phenotypes. In rheumatoid arthritis, several cell types are involved in the destruction of the joints, synovial fibroblasts being among the most important. In this study we performed DNA methylation and miRNA expression screening of a set of rheumatoid arthritis synovial fibroblasts and compared the results with those obtained from osteoarthritis patients with a normal phenotype. DNA methylation screening allowed us to identify changes in novel key target genes like IL6R, CAPN8 and DPP4, as well as several HOX genes. A significant proportion of genes undergoing DNA methylation changes were inversely correlated with expression. miRNA screening revealed the existence of subsets of miRNAs that underwent changes in expression. Integrated analysis highlighted sets of miRNAs that are controlled by DNA methylation, and genes that are regulated by DNA methylation and are targeted by miRNAs with a potential use as clinical markers. Our study enabled the identification of novel dysregulated targets in rheumatoid arthritis synovial fibroblasts and generated a new workflow for the integrated analysis of miRNA and epigenetic control. Comparison between the DNA methylation levels of synovial fibroblasts isolated from 6 Osteoarthritis and 6 Rheumatoid arthritis patients isolated from synovial tissues at the time of joint replacement. Bisulphite converted DNA from the 12 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip
2013-05-07 | E-GEOD-46650 | biostudies-arrayexpress
Project description:Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from osteoarthritis patients and to normal donors. Keywords: disease state analysis Two disease conditions (rheumatoid arthritis and osteoarthritis) in comparison to normal donors were investigated. For the two disease groups samples derived from three individual patients and two pools of patients were hybridised.
2004-11-04 | E-GEOD-1919 | biostudies-arrayexpress
Project description:Gene expression profiling of BMMC from patients with rheumatoid arthritis (RA) vs. osteoarthritis (OA).
2011-05-31 | GSE27390 | GEO
Project description:mRNA expression levels in synovial fibroblasts in 6 rheumatoid arthritis patients versus 6 osteoarthritis patients. Keywords: disease type comparison, mRNA expression study
2007-08-30 | GSE7669 | GEO
Project description:Rheumatoid arthritis (RA) is an inflammatory joint disorder that results in progressive joint damage when insufficiently treated. In order to prevent joint destruction and functional disability in RA, early diagnosis and initiation of appropriate treatment with Disease-Modifying Antirheumatic Drugs (DMARDs) is needed. However, in daily clinical practice, patients may initially display symptoms of arthritis that do not fulfil the classification criteria for a definite diagnosis of RA, or any other joint disease, a situation called “Undifferentiated Arthritis” (UA). Out of the patients with UA, 30 to 50% usually develop RA, and early identification of these remains a challenge. At the present time, although several risk factors associated with the development of RA have been identified (6-9), a model that reliably predicts the probability of evolution of UA into RA in individual patients is lacking. In order to better identify early RA patients, an American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) collaboration recently developed new classification criteria. Although these criteria are more sensitive, the risk of over-diagnosis is an important issue to consider, especially in very early disease. In this context, the present study explores the feasibility of a molecular diagnosis of arthritis, based on the identification of disease-specific transcriptomic profiles in synovial biopsies from patients with arthritis according to the underlying condition. In a previous study, we performed global analyses of gene expression in synovial biopsies from patients with RA, Systemic Lupus Erythematosus (SLE) and Osteoarthritis (OA), using high-density oligonucleotide spotted microarrays. We found that the gene expression profiles are strikingly different according to the underlying condition. Thus, the majority of the genes up-regulated in SLE are type I Interferon-inducible genes, as compared with the up-regulation genes involved in T cell and B cell activation in RA, and in extracellular matrix homeostasis in OA. Based on these results, similar analyses were performed in synovial biopsies from patients with seronegative arthritis (SA) and microcrystalline arthritis (MIC), in order to identify disease-specific molecular signatures.
2012-03-27 | GSE36700 | GEO
Project description:Gene expression profiling of BMMC from patients with rheumatoid arthritis (RA) vs. osteoarthritis (OA). Bone marrow was obtained from patients with RA (n=9) or OA (n=10). The bone marrow samples from the 10 OA patients are used as controls.
2011-05-31 | E-GEOD-27390 | biostudies-arrayexpress
Project description:Rheumatoid arthritis (RA), a chronic and systemic disease of unknown etiology, is characterized by hyperplasia of synovial cells, which ultimately lead to the destruction of cartilage and bone. To elucidate the molecular mechanisms that lead to RA, we analyzed synovial cells established from patient with RA by oligonucleotide microarrays. Gene expression profiles reveal a novel pathophysiologic function of RA synovial cells as a generator of oxidative stress, and a self-defense mechanism against self-generated oxidative stress. Experiment Overall Design: We isolated synovial cell culture from patients with rheumatoid arthritis and osteoarthritis. Fibroblast from patient with osteoarthritis was used for the reference.
2008-10-26 | E-GEOD-9329 | biostudies-arrayexpress