Project description:Large-scale gene expression profiling of peripheral blood mononuclear cells from Rheumatoid Arthritis (RA) patients could provide a molecular description that reflects the contribution of diverse cellular responses associated with this disease. The aim of our study is to identify peripheral blood gene expression profiles for RA patients, using Illumina technology, to gain insights into RA molecular mechanisms. The Illumina Human-6v2 Expression BeadChips were used for a complete genome-wide transcript profiling of peripheral blood mononuclear cells from 18 RA patients and 15 Controls. Differential analysis per gene was performed with one-way analysis of variance (ANOVA) and P values were adjusted to control the False Discovery Rate (FDR<5%). Genes differentially expressed at significant level between patients and controls were analyzed using Gene Ontology (GO) in the PANTHER database to identify biological processes. A differentially expression of 339 Reference Sequence genes (238 down-regulated and 101 up-regulated) between the two groups was observed. We identified a remarkably elevated expression of a spectrum of genes involved in Immunity and Defense in peripheral blood mononuclear cells of RA patients compared to Controls. This result is confirmed by GO analysis, suggesting that these genes could be activated systemically in RA. No significant down-regulated ontology groups were found. Microarrays data were validated by real time PCR in a set of nine genes showing a high degree of correlation. Our study highlighted several new genes that could contribute in the identification of innovative clinical biomarkers for diagnostic procedures and therapeutic intervention. Further studies on larger scale groups of patients should be performed with the same technology to replicate these results and to allow clinical stratification. 33 samples analyzed corresponding to 18 Rheumatoid Arthritis Patients and 15 Controls
Project description:Our goal was to find correlations between gene expression patterns and impaired vascular pathophysiolgy in rheumatoid arthritis Patients with rheumatoid arthritis were recruited and venous blood samples were collected, then peripheral blood mononuclear cells were separated. After RNA isoltaion, we used Affymetrix PrimeView arrays to obtain whole gene expression data.
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.
Project description:Genome wide microRNA profiling in peripheral blood mononuclear cells from rheumatoid arthritis (RA) patients and healthy controls. The Affymetrix miRNA 4.0 chip was used to obtain RNA profiles in 28 RA patients and 18 healthy controls.
Project description:Genome wide DNA methylation profiling of rheumatoid arthritis (RA) patients and healthy controls. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles in peripheral blood mononuclear cells (PBMCs). Samples included 25 RA patients and 18 healthy controls.
Project description:To explore markers which predict the efficacy of abatacept in rheumatoid arthritis, peripheral blood mononuclear cells were obtained before abatacept treatment.
Project description:In order to identify new biomarkers for the diagnosis of rheumatoid arthritis, we used circRNA microarray technology to screen the differential expression of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis. We identified a total of 399 differentially expressed circRNAs in RA patients and healthy controls, of which 149 circRNAs were significantly up-regulated in RA patients and 250 were down-regulated. Among them, hsa_circRNA_101328 may be a potential biomarker for the diagnosis of RA.
Project description:The expression profiles of lncRNAs in peripheral blood mononuclear cells (PBMCs) from rheumatoid arthritis (RA) patients have not been well researched. Therefore, we identified the lncRNA expression profiles in PBMCs from female patients with RA and explored the possible role of the abundantly expressed lncRNAs in RA.
