Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DNA methylation profiles of four immune cell types from MS patients and healthy controls

ABSTRACT: How epigenetic changes contribute to MS pathogenesis is still poorly understood. Therefore, we conducted a comprehensive analysis of genome-wide DNA methylation patterns in four immune cell populations isolated from MS patients at clinical disease onset. We also performed parallel transcriptome analysis in B cells to better understand the functional consequences of the DNA methylation changes in MS.

ORGANISM(S): Homo sapiens

PROVIDER: GSE173787 | GEO | 2022/01/18

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptome profiles of B cells from MS patients and healthy controls

Project description:How epigenetic changes contribute to MS pathogenesis is still poorly understood. Therefore, we conducted a comprehensive analysis of genome-wide DNA methylation patterns in four immune cell populations isolated from MS patients at clinical disease onset. We also performed parallel transcriptome analysis in B cells to better understand the functional consequences of the DNA methylation changes in MS.

2022-01-18 | GSE173789 | GEO

DNA methylation profiles of four immune cell types from MS patients and healthy controls

Project description:DNA methylation profiles of four immune cell types from MS patients and healthy controls

| PRJNA727170 | ENA

Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression (CD8+ T cells)

Project description:Background Multiple Sclerosis (MS) is a chronic inflammatory disease and a leading cause of progressive neurological disability among young adults. DNA methylation, which intersects genes and environment to control cellular functions on a molecular level, may provide insights into MS pathogenesis. Methods We measured DNA methylation in CD4+ T cells (n=31), CD8+ T cells (n=28), CD14+ monocytes (n=35) and CD19+ B cells (n=27) from relapsing-remitting (RRMS), secondary progressive (SPMS) patients and healthy controls (HC) using Infinium HumanMethylation450 arrays. Monocyte (n=25) and whole blood (n=275) cohorts were used for validations. Findings B cells from MS patients displayed most significant differentially methylated positions (DMPs), followed by monocytes, while only few DMPs were detected in T cells. We implemented a non-parametric combination framework (omicsNPC) to increase discovery power by combining evidence from all four cell types. Identified shared DMPs co-localized at MS risk loci and clustered into distinct groups. Functional exploration of changes discriminating RRMS and SPMS from HC implicated lymphocyte signaling, T cell activation and migration. SPMS-specific changes, on the other hand, implicated myeloid cell functions and metabolism. Interestingly, neuronal and neurodegenerative genes and pathways were also specifically enriched in the SPMS cluster. Interpretation We utilized a statistical framework (omicsNPC) that combines multiple layers of evidence to identify DNA methylation changes that provide new insights into MS pathogenesis in general, and disease progression, in particular.

2019-06-01 | GSE130030 | GEO

Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression (CD4+ T cells)

2019-06-01 | GSE130029 | GEO

Transcriptomic profile of macrophages activation state in healthy controls and MS patients

Project description:CD14+CD16- monocytes from MS patients and healthy controls (HC) were activated in vitro to obtain homeostatic-like, pro-inflammatory and pro-regenerative macrophages. Macrophage activation profiles were assessed through RNA sequencing

2024-10-29 | GSE269706 | GEO

Glomus sp. MS strain:MS

Project description:Glomus sp. MS strain:MS Genome sequencing

| PRJNA210520 | ENA

Methanosarcina barkeri MS strain:MS

Project description:Methanosarcina barkeri MS strain:MS Raw sequence reads

| PRJNA613292 | ENA

Gene expression profiles of PBMCs in healthy subjects (CTRL) and patients with Metabolic Syndrome (MS) - PART 2 - miRNAs

Project description:The aim of the present study was to investigate the whole-genome gene and miRNA profiles in MS. Results provide the information of changes in the PBMCs mirnome in subjects with MS.

2018-03-28 | GSE98896 | GEO

Gene expression profiles of PBMCs in healthy subjects (CTRL) and patients with Metabolic Syndrome (MS) - PART 1 - Genes

Project description:The aim of the present study was to investigate the whole-genome gene and miRNA profiles in MS. Results provide the information of changes in the PBMCs transcriptome in subjects with MS.

2018-03-28 | GSE98895 | GEO

The influence of methylenetetrahydrofolate reductase C677T genotype and folate status on deoxyribonucleic acid methylation and uracil misincorporation in the colon of healthy volunteers

Project description:Study hypothesis: Increasing folate status and the MethyleneTetraHydroFolate Reductase (MTHFR) C677T genotype influence intermediary biomarkers of preclinical neoplasia (DeoxyriboNucleic Acid [DNA] methylation and uracil misincorporation) in human colonic epithelium. Primary outcome(s): Changes in genomic and gene specific DNA methylation and uracil misincorporation.

| 2417579 | ecrin-mdr-crc

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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