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E-GEOD-1919

ABSTRACT: Transcription profiling of human synovial samples from patients with osteoarthritis, rheumatoid arthritis vs controls treated with various drug regimes to characterise RA at the molecular level and to uncover key pathomechanisms

PROVIDER: E-GEOD-1919 | ExpressionAtlas | 2019-03-20

REPOSITORIES: ExpressionAtlas

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Transcription profiling of human synovial samples from patients with osteoarthritis, rheumatoid arthritis vs controls treated with various drug regimes to characterise RA at the molecular level and to uncover key pathomechanisms

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.

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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.

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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

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Single cell RNA-seq analysis of freshly isolated synovial fibroblasts in patients with rheumatoid arthritis or osteoarthritis

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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 to normal donors. Keywords: repeat sample Rheumatoid in comparison to normal donors were investigated. For both groups samples derived from individual patients and or pools of patients were hybridised.

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