Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA99739 | ENA |
REPOSITORIES: ENA
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Project description:Synovial fibroblasts in persistent inflammatory arthritis have been suggested to have parallels with cancer growth and wound healing, both of which involve a stereotypical serum response program. We tested the hypothesis that a serum response program can be used to classify diseased tissues, and investigated the serum response program in fibroblasts from multiple anatomical sites and two diseases. To test our hypothesis we utilized a bioinformatics approach to explore a publicly available microarray dataset including RA, OA and normal synovial tissue, then extended those findings in a new microarray dataset representing matched synovial, bone marrow and skin fibroblasts cultured from RA and OA patients undergoing arthroplasty. The classical fibroblast serum response program discretely classified RA, OA and normal synovial tissues. Analysis of low and high serum treated fibroblast microarray data revealed a hierarchy of control, with anatomical site the most powerful classifier followed by response to serum and then disease. In contrast to skin and bone marrow fibroblasts, exposure of synovial fibroblasts to serum led to convergence of RA and OA expression profiles. Pathway analysis revealed three inter-linked gene networks characterising OA synovial fibroblasts: Cell remodelling through insulin-like growth factors, differentiation and angiogenesis through β3 integrin, and regulation of apoptosis through CD44. We have demonstrated that Fibroblast serum response signatures define disease at the tissue level, and that an OA specific, serum dependent repression of genes involved in cell adhesion, extracellular matrix remodelling and apoptosis is a critical discriminator between cultured OA and RA synovial fibroblasts.
2015-06-22 | GSE56409 | 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:Synovial fibroblasts in persistent inflammatory arthritis have been suggested to have parallels with cancer growth and wound healing, both of which involve a stereotypical serum response program. We tested the hypothesis that a serum response program can be used to classify diseased tissues, and investigated the serum response program in fibroblasts from multiple anatomical sites and two diseases. To test our hypothesis we utilized a bioinformatics approach to explore a publicly available microarray dataset including RA, OA and normal synovial tissue, then extended those findings in a new microarray dataset representing matched synovial, bone marrow and skin fibroblasts cultured from RA and OA patients undergoing arthroplasty. The classical fibroblast serum response program discretely classified RA, OA and normal synovial tissues. Analysis of low and high serum treated fibroblast microarray data revealed a hierarchy of control, with anatomical site the most powerful classifier followed by response to serum and then disease. In contrast to skin and bone marrow fibroblasts, exposure of synovial fibroblasts to serum led to convergence of RA and OA expression profiles. Pathway analysis revealed three inter-linked gene networks characterising OA synovial fibroblasts: Cell remodelling through insulin-like growth factors, differentiation and angiogenesis through ?3 integrin, and regulation of apoptosis through CD44. We have demonstrated that Fibroblast serum response signatures define disease at the tissue level, and that an OA specific, serum dependent repression of genes involved in cell adhesion, extracellular matrix remodelling and apoptosis is a critical discriminator between cultured OA and RA synovial fibroblasts. Fibroblasts were isolated from synovium, bone marrow and skin tissue samples taken at the time of knee or hip replacement surgery from 12 rheumatoid arthritis patients meeting the 1987 ACR criteria and 6 osteoarthritis patients diagnosed on the basis of characteristic x-ray findings and the absence of features suggestive of inflammatory arthritis. Only one hip sample was present in either disease group. Fibroblasts were maintained in fibroblast medium (consisting of 81.3% RPMI 1640, 10% FCS, 0.81x MEM non-essential amino acids, 0.81mM sodium orthopyruvate, 1.62mM glutamine, 810U/ml penicillin and 81?g/ml streptomycin) at 37°C in a humidified 5% CO2 atmosphere.
2015-06-22 | E-GEOD-56409 | 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
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.
2011-10-25 | GSE29746 | GEO
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: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.
2012-10-22 | GSE39340 | GEO
Project description:All the synovial tissue specimens for TMT relative quantitative proteomics and further experiments were obtained from the patients with RA or OA undergoing surgical joint replacement at the clinical of joint surgery (Xi'an Hong Hui Hospital, Xi'an Jiaotong University, China). The diagnosis of the patients were accorded to the criteria of the American College of Rheumatology (ACR) and European League Against Rheumatism (EULAR) in 2010.a quantitative proteomic profiling of synovial tissue obtained from RA and OA patients was carried out by using TMT labeling followed by high resolution mass spectrometry analysis. We have identified 4822 proteins out of which 510 proteins were found to be differentially expressed by ≥1.2 fold change in the synovial tissue from RA verses OA patients.
2021-12-30 | PXD027703 | Pride
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