E-GEOD-13849
Ontology highlight
ABSTRACT:
PROVIDER: E-GEOD-13849 | ExpressionAtlas | 2025-01-24
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-13849-analysis-methods.tsv | Tabular | |||
| E-GEOD-13849-atlasExperimentSummary.Rdata | Rdata | |||
| E-GEOD-13849-configuration.xml | Xml | |||
| E-GEOD-13849-percentile-ranks.tsv | Tabular | |||
| E-GEOD-13849.condensed-sdrf.tsv | Tabular |
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Project description:Expression Signatures in Polyarticular JIA Show Heterogeneity and Offer a Molecular Classification of Disease Subsets
| PRJNA110529 | ENA
Project description:Objective. Microarray analysis was used to determine whether children with recent onset polyarticular juvenile idiopathic arthritis (JIA) exhibit biologically or clinically informative gene expression signatures in peripheral blood mononuclear cells (PBMC). Methods. Peripheral blood samples were obtained from 59 healthy children and 61 children with polyarticular JIA prior to treatment with second-line medications, such as methotrexate or biological agents. RNA was purified from Ficoll-isolated mononuclear cells, fluorescently labeled and then hybridized to Affymetrix U133 Plus 2.0 GeneChips. Data were analyzed using ANOVA at a 5% false discovery rate threshold after Robust Multi-Array Average pre-processing and Distance Weighted Discrimination normalization. Results. Initial analysis revealed 873 probe sets for genes that were differentially expressed between polyarticular JIA and controls. Hierarchical clustering of these probe sets distinguished three subgroups within polyarticular JIA. Prototypical subjects within each subgroup were identified and used to define subgroup-specific gene expression signatures. One of these signatures was associated with monocyte markers, another with transforming growth factor-beta-inducible genes, and a third with immediate-early genes. Correlation of these gene expression signatures with clinical and biological features of JIA subgroups suggests direct relevance to aspects of disease activity and supports the division of polyarticular JIA into distinct subsets. Conclusions. PBMC gene expression signatures in recent onset polyarticular JIA reflect discrete disease processes and offer a molecular classification of disease. Keywords: Patient vs. control, reassessment of phenotype PBMC samples were obtained from 59 healthy children and 61 children with polyarticular JIA prior to treatment with second-line medications, such as methotrexate or biological agents. RNA was purified from Ficoll-isolated mononuclear cells, fluorescently labeled and then hybridized to Affymetrix U133 Plus 2.0 GeneChips. Data were analyzed using ANOVA at a 5% false discovery rate threshold after Robust Multi-Array Average pre-processing and Distance Weighted Discrimination normalization.
2009-06-30 | E-GEOD-13849 | biostudies-arrayexpress
Project description:Objective. Microarray analysis was used to determine whether children with recent onset polyarticular juvenile idiopathic arthritis (JIA) exhibit biologically or clinically informative gene expression signatures in peripheral blood mononuclear cells (PBMC). Methods. Peripheral blood samples were obtained from 59 healthy children and 61 children with polyarticular JIA prior to treatment with second-line medications, such as methotrexate or biological agents. RNA was purified from Ficoll-isolated mononuclear cells, fluorescently labeled and then hybridized to Affymetrix U133 Plus 2.0 GeneChips. Data were analyzed using ANOVA at a 5% false discovery rate threshold after Robust Multi-Array Average pre-processing and Distance Weighted Discrimination normalization. Results. Initial analysis revealed 873 probe sets for genes that were differentially expressed between polyarticular JIA and controls. Hierarchical clustering of these probe sets distinguished three subgroups within polyarticular JIA. Prototypical subjects within each subgroup were identified and used to define subgroup-specific gene expression signatures. One of these signatures was associated with monocyte markers, another with transforming growth factor-beta-inducible genes, and a third with immediate-early genes. Correlation of these gene expression signatures with clinical and biological features of JIA subgroups suggests direct relevance to aspects of disease activity and supports the division of polyarticular JIA into distinct subsets. Conclusions. PBMC gene expression signatures in recent onset polyarticular JIA reflect discrete disease processes and offer a molecular classification of disease. Keywords: Patient vs. control, reassessment of phenotype
2009-06-30 | GSE13849 | GEO
Project description:Juvenile idiopathic arthritis (JIA) is a chronic rheumatic disease with altered transcriptional signatures at the site of inflammation. mRNA transcription and translation are amongst other epigenetic mechanisms tightly regulated by specific miRNA expression. To determine the roles of different miRNAs within JIA pathogenesis we performed a global miRNA expression analysis in parallel in cells from the arthritic joint and peripheral blood of JIA patients, which demonstrates a different composition of miRNA expression at the site of inflammation. Bioinformatic analysis of predicted miRNA target genes suggests a huge overrepresentation of genes involved in metabolic and oxidative stress pathways in the inflamed joint. On the cellular level enhanced reactive oxygen species (ROS) and signs of highly activated metabolism in JIA T cells are present. Despite enhanced ROS levels within the local inflammatory milieu, JIA T cells are hyperproliferative and reveal a TNFa dependent overexpression of miR-23a, which is an inhibitor of PPIF, the regulator of mitochondrial ROS escape. TNFa blockade reduces miRNA-23a, rescues PPIF expression and ROS shuttling and thereby inhibits hyperproliferation. Our data show a novel mechanism of T cell proliferation and metabolism in JIA, which is mediated by miRNA dependent mitochondrial ROS shuttling.
2022-07-26 | GSE134984 | GEO
Project description:Aim: To discovery biomarkers in JIA base on gene expression from RNA sequencing on PBMC Method: Paired-end Ilumina sequencing to capture gene expression of PBMC from JIA individuals and healthy controls Results:sample heterogeneity makes RNA sequencing on PBMC unsuitable as a first-step method for screening biomarker candidates in JIA
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Project description:With H3K27ac chromatin immunoprecipitation we identified a disease-specific, inflammation-associated, (super-)enhancer signature in JIA patient synovial fluid-derived CD4+ memory/effector T cells. This signature consists of unique pathogenesis-associated epigenetic changes which extend beyond general T cell activation-induced alterations, indicating that disease-specific (super-)enhancers contribute to JIA pathogenesis. In addition, our analysis shows that there is a profound enrichment of JIA-related SNPs in (super-)enhancers in JIA patients compared to controls, illustrating the importance of these non-coding regions for disease pathogenesis. H3K27ac ChIP-sequencing of CD4+ memory/effector T cells derived from peripheral blood (PB) from healthy controls (HC) and PB or synovial fluid (SF) from JIA patients.
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Project description:Systemic sclerosis (SSc) is confounded by considerable disease heterogeneity. Animal models of SSc that recapitulate distinct subsets of disease at the molecular level have not delineated. We applied interspecies comparative analysis of genomic data from multiple mouse models of SSc and patients with SSc to determine which animal models best reflect the SSc intrinsic gene expression subsets. Gene expression measured in skin from mice with sclerodermatous graft-versus-host disease, bleomycin-induced fibrosis, or Tsk1/+ and Tsk2/+ mice was mapped to human orthologs and compared to SSc skin biopsy-derived gene expression.
2015-08-13 | E-GEOD-71991 | biostudies-arrayexpress
Project description:Systemic sclerosis (SSc) is confounded by considerable disease heterogeneity. Animal models of SSc that recapitulate distinct subsets of disease at the molecular level have not delineated. We applied interspecies comparative analysis of genomic data from multiple mouse models of SSc and patients with SSc to determine which animal models best reflect the SSc intrinsic gene expression subsets. Gene expression measured in skin from mice with sclerodermatous graft-versus-host disease, bleomycin-induced fibrosis, or Tsk1/+ and Tsk2/+ mice was mapped to human orthologs and compared to SSc skin biopsy-derived gene expression.
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Project description:Systemic sclerosis (SSc) is confounded by considerable disease heterogeneity. Animal models of SSc that recapitulate distinct subsets of disease at the molecular level have not delineated. We applied interspecies comparative analysis of genomic data from multiple mouse models of SSc and patients with SSc to determine which animal models best reflect the SSc intrinsic gene expression subsets. Gene expression measured in skin from mice with sclerodermatous graft-versus-host disease, bleomycin-induced fibrosis, or Tsk1/+ and Tsk2/+ mice was mapped to human orthologs and compared to SSc skin biopsy-derived gene expression.
2015-08-13 | E-GEOD-71998 | biostudies-arrayexpress
Project description:Gene expression profiles were obtained from 17 children with rheumatoid factor negative (RF-) polyarticular juvenile idiopathic arthritis (JIA). The disease was inactive in all patients at visit 1. Thee disease remained inactive at visit 2 for 9 patients, while the other 8 patients were experiencing a disease flare at visit 2. The goal of the study was to better understand the underlying molecular biology of flares in JIA Total RNA was obtained from PBMC at two different times in the course of disease
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