Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA219174 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We applied Illumina Human Methylation450K array to perform a genomic-scale single-site resolution DNA methylation analysis in neuronal and nonneuronal (primarily glial) nuclei separated from the orbitofrontal cortex of postmortem human brain. The findings were validated using enhanced reduced representation bisulfite sequencing. We identified thousands of sites differentially methylated (DM) between neuronal and nonneuronal cells. The DM sites were depleted within CpG islandM-bM-^@M-^Scontaining promoters but enriched in predicted enhancers. Classification of the DM sites into those undermethylated in neurons (neuronal type) and those undermethylated in nonneuronal cells (glial type), combined with findings of others that methylation within control elements typically negatively correlates with gene expression, yielded large sets of predicted neuron-specific and nonneuron-specific genes. These sets of predicted genes were in excellent agreement with the available direct measurements of gene expression in human and mouse. We also found a distinct set of DNA methylation patterns that were unique for neuronal cells. In particular, neuronal-type differential methylation was overrepresented in CpG island shores, enriched within gene bodies but not in intergenic regions, and preferentially harbored binding motifs for a distinct set of transcription factors, including neuron-specific activity-dependent factors. Finally, non-CpG methylation was substantially more prevalent in neurons than in nonneuronal cells. Extended Reduced Representation Bisulfite Sequencing (ERRBS) was performed on genomic DNA to validate the Infinium HM450K DNA methylation data (Kozlenkov et. al., 2013, Nucleic Acids Research, accepted for publication).
2013-09-14 | E-GEOD-50852 | biostudies-arrayexpress
Project description:We applied Illumina Human Methylation450K array to perform a genomic-scale single-site resolution DNA methylation analysis in neuronal and nonneuronal (primarily glial) nuclei separated from the orbitofrontal cortex of postmortem human brain. The findings were validated using enhanced reduced representation bisulfite sequencing. We identified thousands of sites differentially methylated (DM) between neuronal and nonneuronal cells. The DM sites were depleted within CpG island–containing promoters but enriched in predicted enhancers. Classification of the DM sites into those undermethylated in neurons (neuronal type) and those undermethylated in nonneuronal cells (glial type), combined with findings of others that methylation within control elements typically negatively correlates with gene expression, yielded large sets of predicted neuron-specific and non– neuron-specific genes. These sets of predicted genes were in excellent agreement with the available direct measurements of gene expression in human and mouse. We also found a distinct set of DNA methylation patterns that were unique for neuronal cells. In particular, neuronal-type differential methylation was overrepresented in CpG island shores, enriched within gene bodies but not in intergenic regions, and preferentially harbored binding motifs for a distinct set of transcription factors, including neuron-specific activity-dependent factors. Finally, non-CpG methylation was substantially more prevalent in neurons than in nonneuronal cells. Genomic DNA was isolated from FACS-sorted human brain neuronal and nonneuronal nuclei. DNA was bisulfite converted and hybridised to the Illumina Infinium 450K Human Methylation Beadchip array. Six subjects in two technical replicate expriments were analyzed.
2013-09-13 | E-GEOD-50798 | biostudies-arrayexpress
Project description:We applied Illumina Human Methylation450K array to perform a genomic-scale single-site resolution DNA methylation analysis in neuronal and nonneuronal (primarily glial) nuclei separated from the orbitofrontal cortex of postmortem human brain. The findings were validated using enhanced reduced representation bisulfite sequencing. We identified thousands of sites differentially methylated (DM) between neuronal and nonneuronal cells. The DM sites were depleted within CpG island–containing promoters but enriched in predicted enhancers. Classification of the DM sites into those undermethylated in neurons (neuronal type) and those undermethylated in nonneuronal cells (glial type), combined with findings of others that methylation within control elements typically negatively correlates with gene expression, yielded large sets of predicted neuron-specific and nonneuron-specific genes. These sets of predicted genes were in excellent agreement with the available direct measurements of gene expression in human and mouse. We also found a distinct set of DNA methylation patterns that were unique for neuronal cells. In particular, neuronal-type differential methylation was overrepresented in CpG island shores, enriched within gene bodies but not in intergenic regions, and preferentially harbored binding motifs for a distinct set of transcription factors, including neuron-specific activity-dependent factors. Finally, non-CpG methylation was substantially more prevalent in neurons than in nonneuronal cells.
2013-09-14 | GSE50852 | GEO
Project description:We applied Illumina Human Methylation450K array to perform a genomic-scale single-site resolution DNA methylation analysis in neuronal and nonneuronal (primarily glial) nuclei separated from the orbitofrontal cortex of postmortem human brain. The findings were validated using enhanced reduced representation bisulfite sequencing. We identified thousands of sites differentially methylated (DM) between neuronal and nonneuronal cells. The DM sites were depleted within CpG island–containing promoters but enriched in predicted enhancers. Classification of the DM sites into those undermethylated in neurons (neuronal type) and those undermethylated in nonneuronal cells (glial type), combined with findings of others that methylation within control elements typically negatively correlates with gene expression, yielded large sets of predicted neuron-specific and non– neuron-specific genes. These sets of predicted genes were in excellent agreement with the available direct measurements of gene expression in human and mouse. We also found a distinct set of DNA methylation patterns that were unique for neuronal cells. In particular, neuronal-type differential methylation was overrepresented in CpG island shores, enriched within gene bodies but not in intergenic regions, and preferentially harbored binding motifs for a distinct set of transcription factors, including neuron-specific activity-dependent factors. Finally, non-CpG methylation was substantially more prevalent in neurons than in nonneuronal cells.
2013-09-13 | GSE50798 | GEO
Project description:Differences in DNA methylation between human neuronal and glial cells are concentrated in enhancers and non-CpG sites [methylation array]
| PRJNA219103 | ENA
Project description:To determine whether differences between background strains or housing conditions altered the hepatic methylome, We report the generation and analysis of genome-wide DNA methylation profiles at nucleotide resolution in mouse liver from two male mice on a mixed background (mixed-1, mixed-2) and two males on a pure Black-6 (B6-1, B62) background. Using Enhanced high-throughput Reduced Representation Bisulfite Sequencing (ERRBS), we enriched CpG islands in mouse liver, and covered a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse liver. We found that the total CpG methylation of each methylome was strikingly similar among the 4 mouse liver samples from two different genetic backgrounds. Analysis of all CpG sites with at least 10x coverage showed a bimodal distribution of methylation, with all samples having 25% of hypermethylated CpG sites and 60% as hypomethylated CpG sites. Given the high percent of genome coverage and robust depth at single nucleotide level, these datasets provide a resource for investigation into changes in DNA methylation patterns in liver disease, tumorigenesis and regeneration. Ehanced reduced representation bisulfite sequencing (MspI 70~320bp size fraction) of liver tissue
2016-06-13 | E-GEOD-80761 | biostudies-arrayexpress
Project description:DNA methylation is tightly regulated throughout mammalian development and altered methylation patterns are a hallmark of cancer. The methylcytosine dioxygenase TET2 is frequently mutated in acute myeloid leukemia (AML) and has been suggested to protect CpG islands and promoters from aberrant methylation. By generating a novel mouse model of Tet2-deficient AML we show that loss of Tet2 in hematopoietic cells leads to progressive hypermethylation of active enhancer elements and altered expression of genes implicated in tumorigenesis. In contrast, CpG island and promoter methylation does not change in a Tet2-dependent manner. Furthermore, we confirm this specific enhancer hypermethylation phenotype in human AML patients. Thus, we propose that TET2 prevents leukemic transformation of hematopoietic cells by protecting enhancers from aberrant DNA methylation. Enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analysis of in vitro-grown hematopoietic cells transduced with AML1-ETO or MLL-AF9
2015-04-22 | E-GEOD-59584 | biostudies-arrayexpress
Project description:Enhanced reduced representation bisulfite sequencing (eRRBS) on 45 multiple myeloma samples and 3 normal plasma cell. Enhanced reduced representation bisulfite sequencing (eRRBS) on 45 multiple myeloma samples and 3 normal plasma cell. Libraries were sequenced on a HiSeqTM4000 Illumina machine using 75bp paired-end reads
| EGAD00001007822 | EGA