Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE89253 | GEO | 2016/10/28

SECONDARY ACCESSION(S): PRJNA350837

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways (methylation)

Project description:Multifactorial diseases, including autoimmune juvenile idiopathic arthritis (JIA), result from a complex interplay between genetics and environment. Epigenetic mechanisms are believed to integrate such gene-environment interactions, fine-tuning gene expression and possibly contributing to immune system dysregulation. Although anti-TNF therapy has strongly increased JIA remission rates, it is not curative and up to 80% of patients flare upon treatment withdrawal. Thus, a crucial unmet medical and scientific need is to understand the immunological mechanisms associated with remission or flare to inform clinical decisions. Here, we explored the CD4+ T cell DNA methylome of 68 poly-articular and extended oligo-articular JIA patients, before and after anti-TNF therapy withdrawal, to identify features associated with maintenance of inactive disease (ID). Individual CpG sites were clustered in coherent modules without a priori knowledge of their function through network analysis. The methylation level of several CpG modules, specifically those enriched in CpG sites belonging to genes that mediate T cell activation, uniquely correlated with clinical activity. Differences in DNA methylation were already detectable at the time of therapy discontinuation, suggesting epigenetic predisposition. RNA profiling also detected differences in T cell activation markers, including HLA-DR, but, overall, its sensitivity was lower than epigenetic profiling. Changes to the T cell activation signature at the protein level were detectable by flow cytometry, confirming the biological relevance of the observed alterations in methylation. Our work proposes, for the first time, epigenetic discrimination between clinical activity states, and reveals T cell-related biological functions tied to, and possibly predicting and/or causing, clinical outcome.

2016-10-28 | GSE89251 | GEO

Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways.

Project description: Not available

| S-EPMC5137722 | biostudies-literature

Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways (expression)

2016-10-28 | GSE89252 | GEO

Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways

Project description:Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways

| PRJNA350837 | ENA

HIV infection-associated immune activation occurs by two distinct pathways that differentially affect CD4 and CD8 T cells.

Project description: Not available

| S-EPMC2596741 | biostudies-literature

HtrA2 suppresses autoimmune arthritis and regulates activation of STAT3.

Project description: Not available

| S-EPMC5180098 | biostudies-literature

The Autoimmune-Associated Single Nucleotide Polymorphism Within PTPN22 Correlates With Clinical Outcome After Lung Transplantation.

Project description: Not available

| S-EPMC6344400 | biostudies-literature

In vitro glucocorticoid sensitivity is associated with clinical glucocorticoid therapy outcome in rheumatoid arthritis.

Project description: Not available

| S-EPMC3580593 | biostudies-literature

Autoimmune arthritis associated with mutated interleukin (IL)-6 receptor gp130 is driven by STAT3/IL-7-dependent homeostatic proliferation of CD4+ T cells.

Project description: Not available

| S-EPMC2118324 | biostudies-other

A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome

Project description:Transcriptome of high grade serous ovarian carcinoma isolated from patient acites and associated macrophages was analyzed using RNASeq.

2016-02-29 | E-MTAB-4162 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data