A comparative gene expression profiling of spondyloarthropathy and rheumatoid arthritis using oligonucleotide based microarrays
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE30023 | GEO | 2013/07/15
SECONDARY ACCESSION(S): PRJNA143705
REPOSITORIES: GEO
Similar Datasets
Project description:Rheumatoid arthritis (RA) and spondyloarthropathy (SpA) are chronic inflammatory disorders primarily targeting joints. Although the type of inflammatory cells present in affected joints implicated in the disease pathogenesis is the same, the diseases differ in terms of disease activity and manifestation. So to comprehend the two diseases in better terms, we carried out a comparative gene expression profiling using the inflammatory mononuclear cells from knee aspirated synovial fluid samples as this joint fluid bathes the affected region thereby giving us a closer view of the pathological site. We identified 1469 differentially regulated genes. Out of 1469 differentially regulated genes, 1366 genes were upregulated in SpA and 103 genes were downregulated in SpA versus RA. The proposed study carried out mRNA expression profiling of mononuclear cells from synovial fluid samples of seven RA and five SpA cases. We have used 4X44K and 1X44K arrays from Agilent Technologies platform. Based on the RNA integrity, selected molecules were processed further using single-color microarray based gene expression. The raw data files obtained from this study were eventually analyzed with R package of the BioConductor suite.
2013-07-15 | E-GEOD-30023 | biostudies-arrayexpress
Project description:Objectives: Epigenetics can influence disease susceptibility and severity. While DNA methylation of individual genes has been explored in autoimmunity, no unbiased systematic analyses have been reported. Therefore, a genome-wide evaluation of DNA methylation loci in fibroblast-like synoviocytes (FLS) isolated from the site of disease in rheumatoid arthritis (RA) was performed. Methods: Genomic DNA was isolated from six RA and five osteoarthritis (OA) FLS lines and evaluated using the Illumina HumanMethylation450 chip. Cluster analysis of data was performed and corrected using Benjamini–Hochberg adjustment for multiple comparisons. Methylation was confirmed by pyrosequencing and gene expression was determined by qPCR. Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genomes. Results: RA and control FLS segregated based on DNA methylation, with 1859 differentially methylated loci. Hypomethylated loci were identified in key genes relevant to RA, such as CHI3L1, CASP1, STAT3, MAP3K5, MEFV and WISP3. Hypermethylation was also observed, including TGFBR2 and FOXO1. Hypomethylation of individual genes was associated with increased gene expression. Grouped analysis identified 207 hypermethylated or hypomethylated genes with multiple differentially methylated loci, including COL1A1, MEFV and TNF. Hypomethylation was increased in multiple pathways related to cell migration, including focal adhesion, cell adhesion, transendothelial migration and extracellular matrix interactions. Confirmatory studies with OA and normal FLS also demonstrated segregation of RA from control FLS based on methylation pattern. Conclusions: Differentially methylated genes could alter FLS gene expression and contribute to the pathogenesis of RA. DNA methylation of critical genes suggests that RA FLS are imprinted and implicate epigenetic contributions to inflammatory arthritis.
2013-04-25 | GSE46364 | GEO
Project description:Objectives: Epigenetics can influence disease susceptibility and severity. While DNA methylation of individual genes has been explored in autoimmunity, no unbiased systematic analyses have been reported. Therefore, a genome-wide evaluation of DNA methylation loci in fibroblast-like synoviocytes (FLS) isolated from the site of disease in rheumatoid arthritis (RA) was performed. Methods: Genomic DNA was isolated from six RA and five osteoarthritis (OA) FLS lines and evaluated using the Illumina HumanMethylation450 chip. Cluster analysis of data was performed and corrected using Benjamini–Hochberg adjustment for multiple comparisons. Methylation was confirmed by pyrosequencing and gene expression was determined by qPCR. Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genomes. Results: RA and control FLS segregated based on DNA methylation, with 1859 differentially methylated loci. Hypomethylated loci were identified in key genes relevant to RA, such as CHI3L1, CASP1, STAT3, MAP3K5, MEFV and WISP3. Hypermethylation was also observed, including TGFBR2 and FOXO1. Hypomethylation of individual genes was associated with increased gene expression. Grouped analysis identified 207 hypermethylated or hypomethylated genes with multiple differentially methylated loci, including COL1A1, MEFV and TNF. Hypomethylation was increased in multiple pathways related to cell migration, including focal adhesion, cell adhesion, transendothelial migration and extracellular matrix interactions. Confirmatory studies with OA and normal FLS also demonstrated segregation of RA from control FLS based on methylation pattern. Conclusions: Differentially methylated genes could alter FLS gene expression and contribute to the pathogenesis of RA. DNA methylation of critical genes suggests that RA FLS are imprinted and implicate epigenetic contributions to inflammatory arthritis. Fibroblast-like synoviocyte cell-lines from osteoarthritis (OA) and rheumatoid arthritis (RA) patients.
2013-04-25 | E-GEOD-46364 | biostudies-arrayexpress
Project description:In order to characterize genomic response and identify molecular marker for acute neural injury, we performed RNA-sequencing 4 hours after spinal cord injury. We found a group of genes with significant differential expression (DEG) after Benjamini-Hochberg FDR multiple corrections. These DEGs mainly include early response genes, neuroinflammation, and cell injury and death. Notely, activating transcription factor 3 (ATF3) is one of the most significantly upregulated genes by 9.9 folds and is a well-recognized molecular marker for DRG sensory neuron injury in peripheral nerve injury model.
2021-12-31 | GSE180767 | GEO
Project description:Malondialdehyde-modified epitopes (MDA-epitopes) can elicit specific autoantibody that expressed oxidative stress arising in rheumatoid arthritis (RA). The purpose of this study was to discover and validate MDA-peptide adducts as novel biomarkers using concanavalin A affinity chromatography, 1D SDS-PAGE, in-gel digestion, and label-free nano-LC-MS, and evaluate levels of serum MDA, MDA-protein adducts, proteins and autoantibody isotypes against an unmodified and MDA-peptide from Taiwanese female patients with RA and healthy controls (HCs). Levels of serum MDA and MDA-protein adducts were significantly higher in RA patients versus HCs. Four differentially expressed novel MDA-peptides were selected that relative modification ratio were 2-fold differences to examine protein levels and assess autoantibodies to MDA-peptides in RA patients compared with HCs. Four of peptides are autoantigens. Furthermore, 4 MDA-peptides can induce more autoantibody isotypes that are statistical significance in RA patients compared to HCs. Serum IgG and IgM against MDA-peptides showed excellent diagnostic performance in discriminating among RA patients and HCs: area under the curve (AUC, 0.96 ~ 0.98), sensitivity (88.9% ~ 97.8%) and specificity (88.9% ~ 100%). Autoantibodies to MDA-epitopes indicate oxidative modifications occurring in RA, and might be useful as clinical markers fro RA diagnosis if further investigated.
2021-02-25 | PXD004546 | Pride
Project description:Purpose: The goals of this study are to compare transcriptome profiling (RNA-seq) resulting from a Mesp1Cre driven ablation of Hira in the heart at E11.5 and E12.5. Methods: RNA extraction was done in triplicate from Mesp1Cre;Hira-/fl and Mesp1Cre;Hira+/fl embryonic hearts at E11.5 and E12.5 using the QIAGEN RNeasy mini kit. RNAseq was processed by the ICH genomics facility, reads were aligned and normalised using BOWTIE and DEseq R package. Strand NGS 2.5 software was used to re-analyse the aligned files (.bam). By applying the Mann Whitney unpaired test, Benjamini Hochberg False discovery rate (FDR) and filtering the genes using adjusted p-value ≤ 0.05 and absolute fold change ≥ 1.5, 95 % of the results were identical to the DEseq package used by the UCL Genomics facility. Results: We identified 360 coding transcripts changed in the mutant hearts (Mann Whitney unpaired test, Benjamini Hochberg FDR, p ≤ 0.05, FC ≥ 1.5) with no trend towards up- or down-regulation of global transcription (48.8% down vs 51.2% up) at E12.5. Conclusions: This work analyses the role of HIRA in mouse cardiac development. It was found that Tnni2 is the most upregulated gene in the absence of Hira. qRT-PCR validation of 25 targets. Little (<5%) or no variation of fold change between RNAseq and qRT-PCR data were observed.
2016-08-12 | GSE79937 | GEO
Project description:Rheumatoid arthritis (RA) is a heterogeneous disease. We used cDNA microarray technology to subclassify RA patients and disclose disease pathways in rheumatoid synovium. Hierarchical clustering of gene expression data identified two main groups of tissues (RA-I and RA-II). A total of 121 genes were significantly higher expressed in the RA-I tissues, whereas 39 genes were overexpressed in the RA-II tissues. Among the 121 genes overexpressed in RA-I tissues, a relative majority of nine genes are located on chromosome 6p21.3. An interpretation of biological processes that take place revealed that the gene expression profile in RA-I tissues is indicative for an adaptive immune response. The RA-II group showed expression of genes suggestive for fibroblast dedifferentiation. Within the RA-I group, two subgroups could be distinguished; the RA-Ia group showed predominantly immune-related gene activity, while the RA-Ib group showed an additional higher activity of genes indicative for the classical pathway of complement activation. All tissues except the RA-Ia subgroup showed elevated expression of genes involved in tissue remodeling. These results confirm the heterogeneous nature of RA and suggest the existence of distinct pathogenic mechanisms that contribute to RA. The differences in expression profiles provide opportunities to stratify patients based on molecular criteria. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Keywords: all_pairs
2005-12-15 | GSE3824 | GEO
Project description:<p>During rheumatoid arthritis (RA), TNF activates fibroblast-like synoviocytes (FLS) inducing in a temporal order a constellation of genes, which perpetuate synovial inflammation. Although the molecular mechanisms regulating TNF-induced transcription are well characterized, little is known about the impact of mRNA stability on gene expression and the impact of TNF on decay rates of mRNA transcripts in FLS. To address these issues we performed RNA sequencing and genome-wide analysis of the mRNA stabilome in RA FLS. We found that TNF induces a biphasic gene expression program: initially, the inducible transcriptome consists primarily of unstable transcripts but progressively switches and becomes dominated by very stable transcripts. This temporal switch is due to: a) TNF-induced prolonged stabilization of previously unstable transcripts that enables progressive transcript accumulation over days and b) sustained expression and late induction of very stable transcripts. TNF- induced mRNA stabilization in RA FLS occurs during the late phase of TNF response, is MAPK-dependent, and involves several genes with pathogenic potential such as IL6, CXCL1, CXCL3, CXCL8/IL8, CCL2, and PTGS2. These results provide the first insights into genome-wide regulation of mRNA stability in RA FLS and highlight the potential contribution of dynamic regulation of the mRNA stabilome by TNF to chronic synovitis.</p>
| phs001371 | dbGaP
Project description:Rheumatoid arthritis (RA) is a heterogeneous disease. We used cDNA microarray technology to subclassify RA patients and disclose disease pathways in rheumatoid synovium. Hierarchical clustering of gene expression data identified two main groups of tissues (RA-I and RA-II). A total of 121 genes were significantly higher expressed in the RA-I tissues, whereas 39 genes were overexpressed in the RA-II tissues. Among the 121 genes overexpressed in RA-I tissues, a relative majority of nine genes are located on chromosome 6p21.3. An interpretation of biological processes that take place revealed that the gene expression profile in RA-I tissues is indicative for an adaptive immune response. The RA-II group showed expression of genes suggestive for fibroblast dedifferentiation. Within the RA-I group, two subgroups could be distinguished; the RA-Ia group showed predominantly immune-related gene activity, while the RA-Ib group showed an additional higher activity of genes indicative for the classical pathway of complement activation. All tissues except the RA-Ia subgroup showed elevated expression of genes involved in tissue remodeling. These results confirm the heterogeneous nature of RA and suggest the existence of distinct pathogenic mechanisms that contribute to RA. The differences in expression profiles provide opportunities to stratify patients based on molecular criteria. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Using regression correlation
2005-12-14 | E-GEOD-3824 | biostudies-arrayexpress
Project description:In order to study the cellular response to aminoglycoside-induced mistranslation, we used a whole-genome microarray analysis of geneticin-treated versus untreated cells, which revealed a broad transcriptional response totaling 705 genes. comparison of four geneticin treated biological replicates with four untreated biological replicates (selected for a fold change > 1.2, Benjamini-Hochberg corrected p-value < 0.05)
2014-05-01 | E-GEOD-57198 | biostudies-arrayexpress