Whole genome expression and DNA methylation analysis of matched primary-metastases medulloblastomas
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Xin Wang
PROVIDER: E-GEOD-63670 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:DNA methylation was generated from 11 pairs of matched primary-metastases medulloblastoma samples using the Illumina Infinium HumanMethylation450 BeadChip array Total DNA was extracted from primary and metastases medulloblastoma samples, bisulfite converted and hybridized to Illumina Infinium HumanMethylation450 BeadChip according to the manufacturer's instructions.
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Project description:Affymetrix Human Gene 1.1 ST Array profiling of 83 primary SHH-driven medulloblastoma samples. Total RNA was extracted from primary medulloblastoma samples and hybridized to Affymetrix Human Gene 1.1 ST Arrays (24-Array Plates) according to the manufacturer's instructions.
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Project description:In order to examine the impact our probe filtering efforts might have on the analysis of real-world primary data, we analyzed clinical prostate cancer specimens. This included profiling of four prostate tumour tissue samples and four benign prostate tissues using the Illumina Infinium Human Methylation450 (HM450K bead array) BeadChip. These samples were used to explore the effects on analysis with and without a probe filtering. Four tumour samples containing Gleason 6 cancer and four benign samples from other prostate glands containing Gleason 6 cancer were selected for study. Tissue samples were cryosectioned for histopathological assessment. Genomic DNA was extracted from the homogenized samples using the Allprep Micro Kit (Qiagen, CA, USA) following manufacturer’s instructions and bisulfite converted using the Zymo EZ DNA Methylation kit (Zymo Research Corporation, CA, USA). The resulting libraries were hybridized onto the Illumina HumanMethylation450 (HM450K bead array) BeadChip. Raw intensity data was generated using an iScan microarray reader (Illumina).
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Project description:Affymetrix Human Gene 2.0 ST Array profiling of 9 pairs of matched primary-metastases medulloblastoma samples. Total RNA was extracted from primary and metastases medulloblastoma samples and hybridized to Affymetrix Human Gene 2.0 ST Arrays (24-Array Plates) according to the manufacturer's instructions.
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Project description:Aging is a progressive process that results in the accumulation of intra- and extracellular alterations that in turn contribute to a reduction in health. Age-related changes in DNA methylation have been reported before and may be responsible for aging-induced changes in gene expression, although a causal relationship has yet to be shown. Using genome-wide assays, we analyzed age-induced changes in DNA methylation and their effect on gene expression with and without transient induction with the synthetic transcription modulating agent WY14,643. To demonstrate feasibility of the approach, we isolated peripheral blood mononucleated cells (PBMCs) from five young and five old healthy male volunteers and cultured them with or without WY14,643. Infinium 450K BeadChip and Affymetrix Human Gene 1.1 ST expression array analysis revealed significant differential methylation of at least 5 % (M-NM-^TYOM-bM-^@M-^I>M-bM-^@M-^I5 %) at 10,625 CpG sites between young and old subjects, but only a subset of the associated genes were also differentially expressed. Age-related differential methylation of previously reported epigenetic biomarkers of aging including ELOVL2, FHL2, PENK, and KLF14 was confirmed in our study, but these genes did not display an age-related change in gene expression in PBMCs. Bioinformatic analysis revealed that differentially methylated genes that lack an age-related expression change predominantly represent genes involved in carcinogenesis and developmental processes, and expression of most of these genes were silenced in PBMCs. No changes in DNA methylation were found in genes displaying transiently induced changes in gene expression. In conclusion, aging-induced differential methylation often targets developmental genes and occurs mostly without change in gene expression. Peripheral blood mononuclear cells were isolated from 10 volunteers (5 young 5 old), treated with the synthetic PPARalpha agonists WY14,643 or control for 13 hrs, and subjected to genome-wide DNA methylation and gene expression analysis. This entry contains the DNA methylation data.
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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 DNA methylation differs between in-vivo derived CD4+memory T-cell subsets. DNA methylation was assessed in relationship to gene expression levels and changes (see data series), we observed anticorrelation between promoter DNA methylation levels and gene expression. This submission contains data from DNA methylation profiling of primary human CD4+T-cell memory subsets. This is part of a series, containing transcription and DNA methylation profiling of the same samples. See related experiments E-MTAB-4685, E-MTAB-4686, E-MTAB-4687, E-MTAB-4688
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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 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:DNA methylation was generated from 11 pairs of matched primary-metastases medulloblastoma samples using the Illumina Infinium HumanMethylation450 BeadChip array
2015-04-01 | GSE63669 | GEO