Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MiRNA expression in CD4+CD25- conventional (Tconv) and CD4+CD25+ regulatory T (Treg) cells

ABSTRACT: miRNA expression profiling in highly purified murine CD4+ Tconv and Treg cells. FoxP3-GFP-hCre1a(high) reporter mice were used to separate both populations based on surface markers and presence or absence of GFP. Two-condition experiment, Tconv vs. Treg. Biological replicates: 1 Tconv, 1 Treg, purified from the same pooled mice. One replicate on 1 array.

ORGANISM(S): Mus musculus

SUBMITTER: Jeffrey Bluestone

PROVIDER: E-GEOD-30847 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

MicroRNA 10a marks regulatory T cells.

Jeker Lukas T LT Zhou Xuyu X Gershberg Kseniya K de Kouchkovsky Dimitri D Morar Malika M MM Stadthagen Gustavo G Lund Anders H AH Bluestone Jeffrey A JA

PloS one 20120518 5

MicroRNAs (miRNAs) are crucial for regulatory T cell (Treg) stability and function. We report that microRNA-10a (miR-10a) is expressed in Tregs but not in other T cells including individual thymocyte subsets. Expression profiling in inbred mouse strains demonstrated that non-obese diabetic (NOD) mice with a genetic susceptibility for autoimmune diabetes have lower Treg-specific miR-10a expression than C57BL/6J autoimmune resistant mice. Inhibition of miR-10a expression in vitro leads to reduced ...[more]

PMID: 22629323

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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

MiRNA expression in CD4+CD25- conventional (Tconv) and CD4+CD25+ regulatory T (Treg) cells

Publications

MicroRNA 10a marks regulatory T cells.

Similar Datasets

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