Dataset Information

Histone H3 Lysine 4 mono-, di- and trimethyl and CTCF in CD4+CD25+CD45RA+ regulatory and conventional CD4+CD25- T-cells

ABSTRACT: Analysis of Histone H3 Lysine 4 mono-, di- and trimethyl and the boundary protein CTCF in CD4+CD25+CD45RA+ regulatory T-cells and conventional CD4+CD25- T-cells. To investigate regulatory functions or potential new transcription start sites in Treg and Tconv cells, we investigated the associated histone modifications. Mono- and dimethylation of histone 3 lysin 4 (H3K4) were previously shown to mark enhancer regions, whereas H3K4 trimethylation generally associates with transcription start sites. At imprinted loci, binding of the insulator protein CTCF, which restricts or directs enhancer-promoter interactions, is often regulated by DNA-methylation. Therefore we performed ChIP-on-chip experiments (chromatin immunoprecipitation followed by microarray hybridization; samples were amplified with ligation mediated PCR [see label protocol for the procedure] prior to labeling) for mono- di- and trimethylation of histone 3 lysin 4 and of CTCF in expanded Treg and Tconv cells. Keywords: ChIP-on-chip

ORGANISM(S): Homo sapiens

PROVIDER: GSE14234 | GEO | 2009/05/20

SECONDARY ACCESSION(S): PRJNA114451

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:We have previously developed an approach that fractionates genomic DNA fragments depending on their CpG density (methyl-CpG-immunoprecipitation, MCIp), and adapted this approach to identify regions that are differentially methylated in the two closely related regulatory T-cells (Treg cells) and conventional T-cells (Tconv cells). Because Treg cells naturally occur at a relatively low frequency, we used a previously established protocol to expand Treg cells from a stable naÃ¯ve Treg population that is characterized by the co-expression of CD4, CD25 and CD45RA. We separated gDNA of both expanded T cell lineages (Tregexp and Tconvexp) into unmethylated (CpG) and methylated pools (mCpG) using MCIp and compared cell type-specific differences in DNA methylation by co-hybridization of the two umethylated or the two methylated DNA subpopulations of Treg and Tconv, respectively, to these locus-wide custom tiling arrays. As enriched DNA-fragments from a cell type in the methylated fraction should be depleted in the unmethylated fraction, the signal intensities in CpG pool and mCpG pool hybridizations should complement themselves (âMirror-Imageâ approach) and thereby allow the identification of differentially methylated regions (DMR). Because we expected to find lineage-specific methylation differences with greater probability in regions associated with differential transcriptional activity, we limited our analysis to gene loci that showed cell type-specific gene expression in Treg versus Tconv cells plus a handful of control regions that were equally expressed in both cell types. The microarray used in this study covered 12 megabases of the human genome and contained 69 regions (with a median size of 100.000 kb) and 128 proximal promoter regions and 181 genes, which included a number of well known and functionally relevant genes like CD40LG, IFNG, FOXP3, IL2RA and CTLA4. Keywords: MCIp-on-chip; comparative genomic hybridization With MCIp gDNA from Treg or Tconv cells was separated into hypo- and hypermethylated pools. On each array, wheather the two hypomethylated fractions- one from Treg, the other from Tconv cells- or the two hypermethylated fractions were cohybridized. Two biological replicates.

Dataset Information

Histone H3 Lysine 4 mono-, di- and trimethyl and CTCF in CD4+CD25+CD45RA+ regulatory and conventional CD4+CD25- T-cells

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets