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Links from GEO DataSets

Items: 20

1.
Full record GDS5402

Rheumatoid arthritis and osteoarthritis: synovial tissues (Leipzig dataset)

Analysis of synovial tissues from patients with rheumatoid arthritis or osteoarthritis. Results used to generate rule-based classifiers to distinguish patients with rheumatoid arthritis from those with osteoarthritis.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 disease state sets
Platform:
GPL96
Series:
GSE55584
16 Samples
Download data: CEL
2.

Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation [Leipzig]

(Submitter supplied) Discrimination of rheumatoid arthritis (RA) patients from patients with other inflammatory/degenerative joint diseases or healthy individuals purely on the basis of genes differentially expressed in high-throughput data has proven very difficult. Thus, the present study sought to achieve such discrimination by employing a novel unbiased approach using rule-based classifiers. Three multi-center genome-wide transcriptomic data sets (Affymetrix HG- U133 A/B) from a total of 79 individuals, including 20 healthy controls (control group - CG), as well as 26 osteoarthritis (OA) and 33 RA patients, were used to infer rule- based classifiers to discriminate the disease groups. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5402
Platform:
GPL96
16 Samples
Download data: CEL
Series
Accession:
GSE55584
ID:
200055584
3.

Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation [Jena]

(Submitter supplied) Discrimination of rheumatoid arthritis (RA) patients from patients with other inflammatory/degenerative joint diseases or healthy individuals purely on the basis of genes differentially expressed in high-throughput data has proven very difficult. Thus, the present study sought to achieve such discrimination by employing a novel unbiased approach using rule-based classifiers. Three multi-center genome-wide transcriptomic data sets (Affymetrix HG- U133 A/B) from a total of 79 individuals, including 20 healthy controls (control group - CG), as well as 26 osteoarthritis (OA) and 33 RA patients, were used to infer rule- based classifiers to discriminate the disease groups. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5403
Platform:
GPL96
33 Samples
Download data: CEL
Series
Accession:
GSE55457
ID:
200055457
4.

Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation

(Submitter supplied) Discrimination of rheumatoid arthritis (RA) patients from patients with other inflammatory/degenerative joint diseases or healthy individuals purely on the basis of genes differentially expressed in high-throughput data has proven very difficult. Thus, the present study sought to achieve such discrimination by employing a novel unbiased approach using rule-based classifiers. Three multi-center genome-wide transcriptomic data sets (Affymetrix HG- U133 A/B) from a total of 79 individuals, including 20 healthy controls (control group - CG), as well as 26 osteoarthritis (OA) and 33 RA patients, were used to infer rule- based classifiers to discriminate the disease groups. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5401
Platform:
GPL96
30 Samples
Download data: CEL
Series
Accession:
GSE55235
ID:
200055235
5.
Full record GDS5403

Rheumatoid arthritis and osteoarthritis: synovial tissues (Jena dataset)

Analysis of synovial tissues from patients with rheumatoid arthritis or osteoarthritis. Results used to generate rule-based classifiers to distinguish patients with rheumatoid arthritis from those with osteoarthritis.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 3 disease state sets
Platform:
GPL96
Series:
GSE55457
33 Samples
Download data: CEL
6.
Full record GDS5401

Rheumatoid arthritis and osteoarthritis: synovial tissues (Berlin dataset)

Analysis of synovial tissues from patients with rheumatoid arthritis or osteoarthritis. Results used to generate rule-based classifiers to distinguish patients with rheumatoid arthritis from those with osteoarthritis.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 3 disease state sets
Platform:
GPL96
Series:
GSE55235
30 Samples
Download data: CEL
7.

Adapted Boolean Network Models for Extracellular Matrix Formation

(Submitter supplied) Background Rheumatoid arthritis (RA) is a chronic inflammatory disease, characterized by joint destruction and perpetuated by the synovial membrane (SM). In the inflamed SM, activated synovial fibroblasts (SFB) form the major cell type promoting development and progression of the disease by an abnormal expression/secretion of pro-inflammatory cytokines, tissue-degrading enzymes resulting in a predominant degradation of the extra-cellular matrix (ECM), and collagens causing joint fibrosis. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
60 Samples
Download data: CEL, CHP
Series
Accession:
GSE13837
ID:
200013837
8.

Identification of inter-individual and gene-specific variances in mRNA expression profiles in the RA SM

(Submitter supplied) Background. Rheumatoid arthritis (RA) is a chronic inflammatory and destructive joint disease, characterized by overexpression of pro-inflammatory/-destructive genes and other activating genes (e.g., proto-oncogenes) in the synovial membrane (SM). The gene expression in disease is often characterized by significant inter-individual variances via specific synchronization/ desynchronization of gene expression. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL96 GPL97
57 Samples
Download data: CEL
Series
Accession:
GSE12021
ID:
200012021
9.

Peripheral blood mononuclear cells, control vs. Kashin-Beck Disease

(Submitter supplied) Objective: To investigate the differences between the gene expression profiles in peripheral blood mononuclear cells (PBMC) from normal controls and patients with Kashin-Beck disease (KBD). Methods: Twenty KBD patients and 12 normal subjects were selected from a KBD-endemic area and divided into four pairs of KBD vs. control (KBD, n=5 per pair; control, n=3 per pair). RNAs were respectively isolated from KBD PBMCs and normal PBMCs. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL7264
4 Samples
Download data: GPR
Series
Accession:
GSE32127
ID:
200032127
10.

Human bone marrow-derived mononuclear cells (BMMC): rheumatoid arthritis vs. osteoarthritis

(Submitter supplied) Gene expression profiling of BMMC from patients with rheumatoid arthritis (RA) vs. osteoarthritis (OA).
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
19 Samples
Download data: CEL
Series
Accession:
GSE27390
ID:
200027390
11.

Stimulation of RA SFBs with IL1 or PDGF-D

(Submitter supplied) Synovial fibroblasts of 6 RA patients were treated with IL1 or PDGF-D. The aim of this study was to outline mechanism of the disease RA by a treatment with one of these cytokines.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL15445
60 Samples
Download data: CEL
Series
Accession:
GSE58203
ID:
200058203
12.

DNA methylome signature in rheumatoid arthritis

(Submitter supplied) 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. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL16304
11 Samples
Download data
Series
Accession:
GSE46364
ID:
200046364
13.

Discovery of new candidate genes for rheumatoid arthritis through integration of genetic association data with expression pathway analysis

(Submitter supplied) Purpose: The goal of the study was to integrate verified signals from previous genetic association studies with gene expression and pathway analysis for discovery of new candidate genes and signalling networks, relevant for rheumatoid arthritis (RA). Method:RNA-seq based expression analysis of 377 genes from previously verified RA-associated loci was performed in blood cells from 5 newly diagnosed, non-treated RA patients, 7 patients with treated RA and 12 healthy controls. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
24 Samples
Download data: TXT
14.

Arthritis and Rheumatism

(Submitter supplied) Synovial tissue mRNA from 21 RA patients and 9 OA patients is hybridized against a common reference sample on lymphochips. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL3262
31 Samples
Download data
Series
Accession:
GSE3848
ID:
200003848
15.

Identification of baseline gene expression signatures predicting therapeutic responses to three biologic agents in rheumatoid arthritis: a retrospective observational study

(Submitter supplied) The aim of this study was to identify the specific molecular biological features predicting the therapeutic outcomes of three bDMARDs, infliximab (IFX), tocilizumab (TCZ), and abatacept (ABT) by studying blood gene expression signature of patients prior to biologic treatment in a unified test platform. GSEA analyses showed that inflammasome genes were significantly upregulated in IFX’s NON-REM compared with its REM. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
209 Samples
Download data: TXT
Series
Accession:
GSE78068
ID:
200078068
16.

Joint-specific DNA transcriptome signatures in rheumatoid arthritis [RNA-seq]

(Submitter supplied) Stratifying patients on the basis of molecular signatures could facilitate development of therapeutics that target pathways specific to a particular disease or tissue location. Previous studies suggest that pathogenesis of rheumatoid arthritis (RA) is similar in all affected joints. Here we show that distinct DNA methylation and transcriptome signatures not only discriminate RA fibroblast-like synoviocytes (FLS) from osteoarthritis FLS, but also distinguish RA FLS isolated from knees and hips. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
9 Samples
Download data: TXT
17.

Joint-specific DNA methylation signatures in rheumatoid arthritis [methylation array]

(Submitter supplied) Stratifying patients on the basis of molecular signatures could facilitate development of therapeutics that target pathways specific to a particular disease or tissue location. Previous studies suggest that pathogenesis of rheumatoid arthritis (RA) is similar in all affected joints. Here we show that distinct DNA methylation and transcriptome signatures not only discriminate RA fibroblast-like synoviocytes (FLS) from osteoarthritis FLS, but also distinguish RA FLS isolated from knees and hips. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL16304
24 Samples
Download data: TXT
Series
Accession:
GSE80071
ID:
200080071
18.

Effects of tocilizumab versus methotrexate therapy on gene expression profiles in the early rheumatoid arthrtis synovium

(Submitter supplied) Rheumatoid arthritis (RA) is a chronic, systemic autoimmune inflammatory disease that is characterized by the presence of inflammatory cytokines, including interleukin-6 (IL-6). Here, we investigated the global molecular effects of Tocilizumab, an approved humanized anti-IL6 Receptor antibody, versus Methotrexate therapy, in synovial biopsy samples collected prospectively in early RA before and 12 weeks after administration of the drug. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Datasets:
GDS5068 GDS5069
Platform:
GPL570
40 Samples
Download data: CEL
Series
Accession:
GSE45867
ID:
200045867
19.

Gene expression profiles in synovial biopsies from patients with arthritis

(Submitter supplied) Rheumatoid arthritis (RA) is an inflammatory joint disorder that results in progressive joint damage when insufficiently treated. In order to prevent joint destruction and functional disability in RA, early diagnosis and initiation of appropriate treatment with Disease-Modifying Antirheumatic Drugs (DMARDs) is needed. However, in daily clinical practice, patients may initially display symptoms of arthritis that do not fulfil the classification criteria for a definite diagnosis of RA, or any other joint disease, a situation called “Undifferentiated Arthritis” (UA). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4195
Platform:
GPL570
25 Samples
Download data: CEL, CHP
Series
Accession:
GSE36700
ID:
200036700
20.

Effects of Rituximab on global gene expression profiles in the RA synovium

(Submitter supplied) Objective: Rituximab displays therapeutic benefits in the treatment of rheumatoid arthritis (RA) patients resistant to TNF blockade. However, the precise role of B cells in the pathogenesis of RA is still unknown. In this study we investigated the global molecular effects of rituximab in synovial biopsies obtained from anti-TNF resistant RA patients before and after administration of the drug. Methods: Paired synovial biopsies were obtained from the affected knee of anti-TNF resistant RA patients before (T0) and 12 weeks after initiation of rituximab therapy (T12). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4903
Platform:
GPL570
24 Samples
Download data: CEL, CHP
Series
Accession:
GSE24742
ID:
200024742
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