Indentification of special gene expressions in synovial tissues of rheumatoid arthritis
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE39340 | GEO | 2012/10/22
SECONDARY ACCESSION(S): PRJNA170667
REPOSITORIES: GEO
Similar Datasets
Project description:Gene expression microarray was applied to discover novel rheumatoid arthritis (RA)-specific gene expressions by comparing the expression profiles of synovial membranes from patients with RA, osteoarthritis (OA) and ankylosing spondylitis (AS). We performed a gene expression microarray analysis of RA synovial membranes and simultaneously compared the expression profile with the profiles of AS and OA synovial membranes. This study was undertaken to investigate the global gene expression profiles in synovial tissues from RA (n=10), OA (n=7), and AS patients (n=5). The Illumina HumanHT-12 v4 Expression BeadChip were used for a complete genome-wide transcript profiling.
2012-10-22 | E-GEOD-39340 | biostudies-arrayexpress
Project description:We have compared synovial biopsies from ankylosing spondylitis and undifferentiated spondylitis patients with healthy controls and osteoarthritis patients Objective: In spondylarthropies, whole-genome gene expression profiling studies have been limited to peripheral blood to date. By undertaking a study in knee synovial biopsies from spondylarthropy (SpA) and ankylosing spondylitis (AS) patients we aimed to identified joint-specific candidate genes and pathways. These pathways may mediate systemic inflammation driven joint damaging processes and more specifically, the osteoproliferation that is characteristic of these conditions. Methods: RNA was extracted from six seronegative SpA, two AS, three osteoarthritis (OA) and four normal control knee synovial biopsies. Whole genome expression profiling was undertaken using the Illumina DASL system, which assays 24000 cDNA probes. Differentially expressed candidate genes were then validated using quantitative PCR and immunohistochemistry. Results: 416 differentially expressed genes were identified that clearly delineated between AS/SpA and control groups. Pathway analysis showed altered gene-expression in oxidoreductase activity, osteoblast activity, B-cell associated, matrix catabolic, and metabolic pathways. The inflammatory mediator, MMP3, was strongly upregulated in AS/SpA samples and the Wnt pathway inhibitors DKK3 and Kremen1 were downregulated. Conclusion: Pathways mediating both systemic inflammation as well as local tissue changes were identified. This suggests initial systemic inflammation in spondylarthropies transfers to and persists in the local joint environment, subsequently mediating changes in genes directly involved in the destructive tissue remodelling. Fifteen knee synovial biopsy tissue samples consisting of six seronegative spondyloarthropy (SpA), two ankylosing spondylitis (AS), three osteoarthritis (OA) and four normal control biopsies were obtained from the Synovial Tissue Bank at the Repatriation General Hospital in Adelaide, South Australia with the appropriate ethical approval (Supplementary Table 1). All patients provided informed written consent.
2012-12-01 | E-GEOD-41038 | biostudies-arrayexpress
Project description:Single-cell transcriptome of >55,000 cells multiplexed into 4 channels obtained from peripheral blood and synovial fluid of two patients with HLA-B27+ ankylosing spondylitis,.
2021-10-18 | E-MTAB-10948 | biostudies-arrayexpress
Project description:We have compared synovial biopsies from ankylosing spondylitis and undifferentiated spondylitis patients with healthy controls and osteoarthritis patients Objective: In spondylarthropies, whole-genome gene expression profiling studies have been limited to peripheral blood to date. By undertaking a study in knee synovial biopsies from spondylarthropy (SpA) and ankylosing spondylitis (AS) patients we aimed to identified joint-specific candidate genes and pathways. These pathways may mediate systemic inflammation driven joint damaging processes and more specifically, the osteoproliferation that is characteristic of these conditions. Methods: RNA was extracted from six seronegative SpA, two AS, three osteoarthritis (OA) and four normal control knee synovial biopsies. Whole genome expression profiling was undertaken using the Illumina DASL system, which assays 24000 cDNA probes. Differentially expressed candidate genes were then validated using quantitative PCR and immunohistochemistry. Results: 416 differentially expressed genes were identified that clearly delineated between AS/SpA and control groups. Pathway analysis showed altered gene-expression in oxidoreductase activity, osteoblast activity, B-cell associated, matrix catabolic, and metabolic pathways. The inflammatory mediator, MMP3, was strongly upregulated in AS/SpA samples and the Wnt pathway inhibitors DKK3 and Kremen1 were downregulated. Conclusion: Pathways mediating both systemic inflammation as well as local tissue changes were identified. This suggests initial systemic inflammation in spondylarthropies transfers to and persists in the local joint environment, subsequently mediating changes in genes directly involved in the destructive tissue remodelling.
2012-12-01 | GSE41038 | GEO
Project description:Objective: To study epigenetic patterns in T lymphocytes that accumulate in rheumatoid arthritis (RA) synovium, we characterized DNA methylation of CD3+ T cells in peripheral blood and synovial tissue in RA and osteoarthritis (OA) patients. Methods: Genomic DNA of CD3+ T cells was isolated from RA (n = 8) and OA (n = 5) patients from blood or synovium at the time of arthroplasty using antibodies and magnetic beads. Methylation was measured using Illumina Infinium MethylationEPIC Kit. Differentially methylated loci (DMLs) and genes (DMGs) were identified using Welch’s t-test. Principal component analysis (PCA), hierarchical clustering and pathway analysis were used to determine relationships among groups. Results: Comparing DNA methylation of CD3+ T cells between peripheral blood and synovial tissue within each disease, 4615 and 164 DMLs were identified in RA and OA samples respectively, resulting in 832 and 36 DMGs. PCA showed that methylation differences in T cells were greater based on location (blood vs. synovium) than based on disease (RA vs. OA). Differentially modified pathways were significantly enriched between RA blood and synovial T cells, especially in genes related to complement, integrin cell surface interactions and P53 pathway. The limited number of DMGs identified between OA blood and synovial T cells did not conform to biologic pathways. Conclusion: The patterns of DNA methylation in RA show location-specific differences related to immune pathways, while methylation differences in OA are limited. The RA joint-specific signatures could be due to selective accumulation of T cell populations or expansion of differentially marked adaptive immune cells. Understanding epigenetic patterns could provide clues to the types of T cells that accumulate in the RA joint and identify potential therapeutic targets.
2021-02-01 | GSE164468 | GEO
Project description:mRNA expression levels in synovial fibroblasts in 6 rheumatoid arthritis patients versus 6 osteoarthritis patients. Experiment Overall Design: Synovial tissue was obtained from open joint replacement surgery or Experiment Overall Design: arthroscopic synovectomy. Patients with RA or OA (n = 6 each for gene expression analysis and further patients for validation experiments) were classified according to the ACR criteria.
2009-04-28 | E-GEOD-7669 | biostudies-arrayexpress
Project description:Despite osteoarthritis (OA) and rheumatoid arthritis (RA) being typically age-related, their underlying etiologies are markedly different. We used 1H nuclear magnetic resonance (NMR) spectroscopy to identify differences in metabolite profiles in low volumes of OA and RA synovial fluid (SF). SF was aspirated from knee joints of 10 OA and 14 RA patients. 100 μL SF was analyzed using a 700 MHz Avance IIIHD Bruker NMR spectrometer with a TCI cryoprobe. Spectra were analyzed by Chenomx, Bruker TopSpin and AMIX software. Statistical analysis was undertaken using Metaboanalyst. 50 metabolites were annotated, including amino acids, saccharides, nucleotides and soluble lipids. Discriminant analysis identified group separation between OA and RA cohorts, with 32 metabolites significantly different between OA and RA SF (false discovery rate (FDR) < 0.05). Metabolites of glycolysis and the tricarboxylic acid cycle were lower in RA compared to OA; these results concur with higher levels of inflammation, synovial proliferation and hypoxia found in RA compared to OA. Elevated taurine in OA may indicate increased subchondral bone sclerosis. We demonstrate that quantifiable differences in metabolite abundance can be measured in low volumes of SF by 1H NMR spectroscopy, which may be clinically useful to aid diagnosis and improve understanding of disease pathogenesis.
2018-10-11 | MTBLS564 | MetaboLights
Project description:Synovial tissue mRNA from 21 RA patients and 9 OA patients is hybridized against a common reference sample on lymphochips.
2005-10-13 | E-SMDB-2032 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) have been implicated as fine-tuning regulators controlling diverse biological processes at the level of posttranscriptional repression. Dysregulation of miRNAs has been described in various disease states, including inflammatory autoimmune diseases. By using high-throughput microRNA profiling analysis, we identified a series of miRNAs dysregulated in local inflammatory lesions of human patients with autoimmune diseases such as RA. We isolated the synovial tissues from four RA patients as well as from two normal people (victims of accidental injury) and two osteoarthristis (OA) patients as controls for comparison. Total RNA was extracted for the TaqManM-BM-. Low Density Assay v3.0
2012-12-19 | E-GEOD-37425 | biostudies-arrayexpress
Project description:The aim of this study was to compare gene expression between two pathological groups of human synovial fibroblasts (SF) from rheumatoid arthritis (RA) and osteoarthritis (OA) synovial tissues with normal SF from healthy individuals (HSF). We used microarray expression profiling in SF cultured from OA, RA and normal synovial tissues. We found larger numbers of transcripts with differential expression in OASF compared to the other groups than in RASF compared to HSF. This data demonstrate that cultured OASF display a more robust transcriptomic profile than RASF when compared to HSF. Synovial fibroblasts were obtained from 9 patients with rheumatoid arthritis (RASF), 11 sex and age matched adult healthy donors (HSF) and 11 sex and age matched patients with OA (OASF). SF were collected under similar subconfluent conditions 24h after serum addition. 31 microarray data were used for determine the statistical significance (p value) of the differences in gene expression.
2011-10-24 | E-GEOD-29746 | biostudies-arrayexpress