Genome-wide 5-hydroxymethylcytosine (5hmC) profiling by hMeDIP-seq in primary human CD4+T-cells polarized towards Th1 and Th2 time-series
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ABSTRACT:
PROVIDER: PRJEB13837 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1397230_1.fastq.gz | Fastqsanger.gz | |||
| ERR1397230_2.fastq.gz | Fastqsanger.gz | |||
| ERR1397231_1.fastq.gz | Fastqsanger.gz | |||
| ERR1397231_2.fastq.gz | Fastqsanger.gz | |||
| ERR1397232_1.fastq.gz | Fastqsanger.gz |
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Project description:Differentiation of CD4+T-cells into effector subsets is a critical component of the adaptive immune system and an incorrect response can lead to autoimmunity or immune deficiency. Cellular differentiation including T-cell differentiation is accompanied by large-scale epigenetic remodeling, including changes in DNA methylation at key regulators of T-cell differentiation. The TET family of enzymes were recently shown to be able to catalyse methylated cytosine (5mC) into 5-hydroxymethylcytosine (5hmC) enabling a pathway of active removal of DNA methylation. Here, we characterize 5hmC, 5mC and transcriptional dynamics during human CD4+T-cell polarisation in a time series approach and relate these changes to profiles in ex-vivo CD4+memory subsets. We observed large-scale remodelling during early CD4+T-cell differentiation which was predictive of subsequent changes during late time points, these changes were also related to disease associated regions which we show can act as functional regulatory elements. This dataset was designed to assess how 5-hydroxymethylcytosine (5hmC) changes over time during human CD4+T-cell polarization towards Th1 and Th2. We tested an early (1 day) and late (5 day) timepoint to distinguish between replication-independent (early) and replication-dependent (late) changes. When comparing the time-series profiles, we observed an early gain followed by a late loss of 5hmC suggesting active 5hmC remodelling precedes lineage specification in CD4+T-cells. This submission contains the data from genome-wide 5-hydroxymethylcytosine (5hmC) profiling by hMeDIP-seq in primary human CD4+T-cells polarized towards Th1 and Th2 time-series. This submission is part of series containing 5hmC and DNA methylation profiling of the same samples. See related experiments E-MTAB-4685, E-MTAB-4687, E-MTAB-4688, E-MTAB-4689.
2016-07-11 | E-MTAB-4686 | biostudies-arrayexpress
Project description:5-hydroxymethylcytosine (5hmC) methylation profiling of adult mouse brain and liver tissues (hMeDIP-seq)
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Project description:Ten-eleven translocation (Tet) hydroxylases (Tet1-3) oxidize 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC). In neurons increased 5hmC levels within gene bodies correlate positively with gene expression. Here, we studied 5hmC profiles (hMeDIP) during retinal maturation between postnatal week 2 and postnatal week 3 using HiSeq 2000 instrument.
2015-04-02 | GSE65860 | GEO
Project description:5-hydroxymethylcytosine (5hmC) is the first oxidative product of the TET-mediated 5-methylcytosine (5mC) demethylation pathway. It is a key intermediate in cytosine demethylation, and have potential regulatory functions with emerging importance in mammalian biology. In this work, we used a chemical capture-based technique that coupled with next-generation sequencing to investigate the global 5hmC methylation in five brain subregions (cerebellum, cortex, hippocampus, hypothalamus and thalamus) and liver tissues from female and male adult mice. We also performed total RNA sequencing to study the association between 5hmC and gene expression. The enriched 5-hmC library was sequenced on a HiSeq2500 by paired-end sequencing with 100 bp read length.
2017-01-31 | E-MTAB-5167 | biostudies-arrayexpress
Project description:Differentiation of CD4+T-cells into effector subsets is a critical component of the adaptive immune system and an incorrect response can lead to autoimmunity or immune deficiency. Cellular differentiation including T-cell differentiation is accompanied by large-scale epigenetic remodeling, including changes in DNA methylation at key regulators of T-cell differentiation. The TET family of enzymes were recently shown to be able to catalyse methylated cytosine (5mC) into 5-hydroxymethylcytosine (5hmC) enabling a pathway of active removal of DNA methylation. Here, we characterize 5hmC, 5mC and transcriptional dynamics during human CD4+T-cell polarisation in a time series approach and relate these changes to profiles in ex-vivo CD4+memory subsets. We observed large-scale remodelling during early CD4+T-cell differentiation which was predictive of subsequent changes during late time points, these changes were also related to disease associated regions which we show can act as functional regulatory elements. This dataset was designed to assess how gene expression changes over time during human CD4+T-cell polarization towards Th1 and Th2. DNA methylation was assessed in relationship to 5hmC levels and changes (see data series), we observed that regions gaining 5hmC early was highly predictive of regions losing DNA methylation during late time points. This submission contains data from the DNA methylation by array profiling of human CD4+T-cells in-vitro polarized towards Th1 and Th2 time-series. It is part of series containing 5hmC and DNA methylation profiling of the same samples. See related experiments E-MTAB-4685, E-MTAB-4686, E-MTAB-4687, E-MTAB-4689.
2016-07-11 | E-MTAB-4688 | biostudies-arrayexpress
Project description:Differentiation of CD4+T-cells into effector subsets is a critical component of the adaptive immune system and an incorrect response can lead to autoimmunity or immune deficiency. Cellular differentiation including T-cell differentiation is accompanied by large-scale epigenetic remodeling, including changes in DNA methylation at key regulators of T-cell differentiation. The TET family of enzymes were recently shown to be able to catalyse methylated cytosine (5mC) into 5-hydroxymethylcytosine (5hmC) enabling a pathway of active removal of DNA methylation. Here, we characterize 5hmC, 5mC and transcriptional dynamics during human CD4+T-cell polarisation in a time series approach and relate these changes to profiles in ex-vivo CD4+memory subsets. We observed large-scale remodelling during early CD4+T-cell differentiation which was predictive of subsequent changes during late time points, these changes were also related to disease associated regions which we show can act as functional regulatory elements. This dataset was designed to assess how gene expression changes over time during human CD4+T-cell polarization towards Th1 and Th2. Gene expression was assessed in relationship to 5hmC and DNA methylation levels and changes (see data series), we observed characteristic gene expression for the specific time points and stimuli or cell type and the expression was correlated with gene body 5hmC as well as anticorrelated with promoter DNA methylation levels. This submission contains data from transcription profiling by array of human CD4+T-cells, Th1/Th2 polarized time-series and primary memory subsets. It is part of series containing 5hmC and DNA methylation profiling of the same samples. See related experiments E-MTAB-4685, E-MTAB-4686, E-MTAB-4688, E-MTAB-4689.
2016-07-11 | E-MTAB-4687 | biostudies-arrayexpress
Project description:We investigated genome-wide analysis of 5-hydroxymethylcytosine (5hmC) distribution in mouse intestinal stem and differentiated cells using hydroxyMethylated DNA immunoprecipitation (hMeDIP) followed by sequencing. Genomic DNA from mouse intestinal stem (Lgr5+) and villus differentiated cells were sonicated, immunoprecipitated by a 5hmC antibody, and sequenced in order to identify differential hydroxymethylated regions and genes.
2016-11-23 | E-MTAB-5202 | biostudies-arrayexpress
Project description:Ten-eleven translocation (Tet) hydroxylases (Tet1-3) oxidize 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC). In neurons increased 5hmC levels within gene bodies correlate positively with gene expression. Here, we studied 5hmC profiles (hMeDIP) during retinal maturation between postnatal week 2 and postnatal week 3 using HiSeq 2000 instrument. Study of retinal 5hmC profile dynamics in 2-week old and 3-week old wild type (WT) mouse.
2015-04-02 | E-GEOD-65860 | biostudies-arrayexpress
Project description:Through the analysis of mouse liver tumours promoted by distinct routes (DEN exposure alone, DEN exposure plus non-genotoxic insult with phenobarbital and non-alcoholic fatty liver disease); we report that the cancer associated hyper-methylated CGI events in mice are also predicated by silent promoters that are enriched for both the DNA modification 5-hydroxymethylcytosine (5hmC) and the histone modification H3K27me3 in normal liver. During cancer progression these CGIs undergo hypo-hydroxymethylation, prior to subsequent hyper-methylation; whilst retaining H3K27me3. A similar loss of promoter-core 5hmC is observed in Tet1 deficient mouse livers indicating that reduced Tet1 binding at CGIs may be responsible for the epigenetic dysregulation observed during hepatocarcinogenesis. Consistent with this reduced Tet1 protein levels are observed in mouse liver tumour lesions. As in human, DNA methylation changes at CGIs do not appear to be direct drivers of hepatocellular carcinoma progression in mice. Instead dynamic changes in H3K27me3 promoter deposition are strongly associated with tumour-specific activation and repression of transcription. Our data suggests that loss of promoter associated 5hmC in diverse liver tumours licences DNA methylation reprogramming at silent CGIs during cancer progression. We carry out 5-hydroxymethylation DNA immunoprecipitation (hmeDIP) prior to sequencing Ion Proton P1 to report on the genome-wide 5hmC patterns. Heterozygote pairs of Tet1 B6;129S4-Tet1tm1.1Jae/J mice were bought from The Jackson Laboratory (Maine USA). Heterozygotes were interbred to produce homozygous knock out males with colony mate wild type controls. Genome-wide 5hmC patterns were generated by hydroxymethyl-DNA immuoprecipitation (hmeDIP) followed by genome wide sequencing on the Ion Proton P1 sequencer.
2016-05-17 | E-GEOD-77730 | biostudies-arrayexpress
Project description:Enhancers are developmentally-controlled transcriptional regulatory regions whose activities are modulated through histone modifications or histone variant deposition. Here, we show by genome-wide mapping that the newly discovered DNA modification 5-hydroxymethylcytosine (5hmC) is dynamically associated with transcription factor binding to distal regulatory sites during neural differentiation of mouse P19 cells as well as during adipocyte differentiation of mouse 3T3-L1 cells. Functional annotation reveals that regions gaining 5hmC are associated with genes expressed either in neural tissues when P19 cells undergo neural differentiation or in adipose tissue when 3T3-L1 cells undergo adipocyte differentiation. Furthermore, distal regions gaining 5hmC together with H3K4me2 and H3K27ac in P19 cells behave as differentiation-dependent transcriptional enhancers. Identified regions are enriched in motifs for transcription factors regulating specific cell fates like Meis1 in P19 cells and PPARgamma in 3T3-L1 cells. Accordingly, a fraction of hydroxymethylated Meis1 sites were associated with a dynamic engagement of the 5mC hydroxylase Tet1. In addition, kinetic studies of cytosine hydroxymethylation of selected enhancers indicated that DNA hydroxymethylation is an early event of enhancer activation. Hence, acquisition of 5hmC in cell-specific distal regulatory regions may represent a major event of enhancer progression toward an active state and participate in selective activation of tissue-specific genes Genome-wide 5hmC distribution was determined using hMeDIP-seq. Cells used in this study are P19.6 mouse embryonal carnicoma cells and P19.6 cells treated for 48 hours with 1M-BM-5M all-trans retinoic acid (RA), as well as 3T3-L1 cells and 3T3-L1 derived adipocytes differentiated with dexamethasone, insulin and IBMX (differentiation cocktail - DC). Individual hMeDIP samples from P19.6 ord 3T3-L1 cells were pooled for library preparation. Libraries were prepared and sequenced at the IBL sequencing facility (Lille, France) with an Illumina Genome Analyser II.
2012-06-04 | E-GEOD-38407 | biostudies-arrayexpress