Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Comparison of miRNA profile of natural T reg cells with conventional CD4+CD25- T cells

ABSTRACT: Low molecular weight RNA from conventional T cells and T reg cells was hybridised to microarrays containing oligonucleotide probes corresponding to known miRNA sequences. Keywords: cell type comparison Six arrays representing three biological replicates and dyeswaps of each.

ORGANISM(S): Mus musculus

SUBMITTER: Bradley Cobb

PROVIDER: E-GEOD-6003 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A role for Dicer in immune regulation.

Cobb Bradley S BS Hertweck Arnulf A Smith James J O'Connor Eric E Graf Daniel D Cook Terence T Smale Stephen T ST Sakaguchi Shimon S Livesey Frederick J FJ Fisher Amanda G AG Merkenschlager Matthias M

The Journal of experimental medicine 20061023 11

Micro RNAs (miRNAs) regulate gene expression at the posttranscriptional level. Here we show that regulatory T (T reg) cells have a miRNA profile distinct from conventional CD4 T cells. A partial T reg cell-like miRNA profile is conferred by the enforced expression of Foxp3 and, surprisingly, by the activation of conventional CD4 T cells. Depleting miRNAs by eliminating Dicer, the RNAse III enzyme that generates functional miRNAs, reduces T reg cell numbers and results in immune pathology. Dicer ...[more]

PMID: 17060477

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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

Comparison of miRNA profile of natural T reg cells with conventional CD4+CD25- T cells

Publications

A role for Dicer in immune regulation.

Similar Datasets

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