Transcriptomics

Dataset Information

0

Genome-wide DNA methylation profiling identifies epigenetic changes in CD4+ and CD14+ cells of multiple sclerosis patients [CD14]


ABSTRACT: Multiple sclerosis (MS) is a chronic autoimmune and degenerative disease of the central nervous system, which develops in genetically predisposed individuals upon exposure to environmental influences. Environmental triggers of MS, such as viral infections or smoking, were demonstrated to affect DNA methylation, and thus to involve this important epigenetic mechanism in the development of pathological processes. To identify DNA methylation hallmarks, associated with MS, we performed genome-wide DNA methylation profiling of two cell populations (CD4+ T-lymphocytes and CD14+ monocytes), collected from the same individuals (relapsing-remitting MS patients and healthy subjects), using Illumina 450K methylation arrays. We revealed significant changes in DNA methylation for both cell populations of studied groups. In CD4+ cells the majority of differentially methylated positions (DMPs) were shown to be hypomethylated, while in CD14+ cells – hypermethylated in MS patients. Noteworthy, in CD4+, but not in CD14+ cells, we found differential methylation of HLA-DRB6 gene from HLA locus, which is known to have the strongest genetic association with MS. Besides, about 20% of DMPs identified in studied cells were identical; they all had the same direction of methylation changes in both cell populations and may be involved in basic epigenetic processes occuring in MS. These findings suggest that the epigenetic mechanism of DNA methylation in immune cells contributes to MS; further studies are now required to validate these results and understand their functional significance.

ORGANISM(S): Homo sapiens

PROVIDER: GSE189256 | GEO | 2022/02/28

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-02-28 | GSE189255 | GEO
2011-09-08 | E-GEOD-32001 | biostudies-arrayexpress
2020-02-07 | GSE135770 | GEO
| PRJNA782259 | ENA
2011-09-09 | GSE32001 | GEO
2019-06-01 | GSE130030 | GEO
2019-06-01 | GSE130029 | GEO
| PRJNA782252 | ENA
2011-06-15 | E-MEXP-3223 | biostudies-arrayexpress
| PRJNA782255 | ENA