Ontology highlight
ABSTRACT:
PROVIDER: PRJEB40185 | ENA |
REPOSITORIES: ENA
Similar Datasets
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Project description:ATAC-seq in human CD4+T cells, CD8+T cells, CD19+B cells and CD14+ monocytes
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Project description:ATAC-seq was carried out to identify regions of nucleosome depletion – marking sites of enhancers and promoters – in the MACS populations of CD4, CD8, CD14, CD19 and Natural Killer (NK) immune cells
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Project description:Peripheral blood leukocytes are the most commonly used surrogates to study epigenome-induced risk and epigenomic response to disease related stress. We considered the hypothesis that the TET enzyme catalyzed hydroxymethylation of 5mC to 5hmC might vary among peripheral blood leukocytes and reflect their responsiveness to environment. Reduction in TET1 and/or TET2 activity leads to the over-proliferation of various leukocyte precursors in bone marrow and acute leukemia, yet, the role of 5mC hydroxymethylation in peripheral blood is less well studied. We developed simplified protocols to rapidly and reiteratively isolate mostly non-overlapping leukocyte populations from a single small sample of fresh or frozen whole blood. Among peripheral leukocyte types we found extreme variation in the levels of transcripts encoding proteins involved in cytosine methylation (DNMT1, 3A, 3B) and turnover by de-methylation (TET1, 2, 3) and DNA repair (GADD45a, b, g) and in the gene-region-specific levels of DNA 5hmC (CD4 T cells >> CD14 monocytes > CD16 neutrophils > CD19 B cells > CD56 NK cells > Siglec 8 eosinophils > CD8 T cells). Taken together our results suggest a hierarchy of responsiveness among classes of leukocytes with CD4+ and CD8+ T cells and CD14 monocytes being the most distinctly potentiated for a rapid methylome response to physiological stress and disease. TAB-seq data on 5-hydroxymehtylcytosine (Yu, M. et al. 2012. Cell 149, 1368-1380.) was collected from seven leukocyte types (CD4+ T cells, CD8+ T cells, CD14+ monocytes, CD16+ neutrophils, CD19+ B cells, CD56+ natural killer cells, and Siglec-8+ eosinophils) reiteratively isolated from peripheral blood collected from a healthy male.
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Project description:Enhancers are powerful regulatory regions, important for development and the maintenance of differentiated cells and tissues. Here, we generate global maps for two enhancer-associated histone marks, H3K4me1 and H3K27ac for a number of major human blood cell types. This data was generated to show that capped RNAs transcribed bidirectionally can identify known and novel enhancers in vivo. ChIP-seq of 2 histone marks in human blood monocytes, CD19+ B cells, CD8+ T cells, CD4+CD25-CD45RA+ naive T cells, & NK cells
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Project description:Blood genomic profiling has been applied to disorders of the blood and various organ systems including brain to elucidate disease mechanisms and identify surrogate disease markers. Since most studies have not examined specific cell types, we performed a preliminary genomic survey of major blood cell types from normal individuals using microarrays. CD4+ T cells, CD8+ T cells, CD19+ B cells, CD56+ natural killer cells, and CD14+ monocytes were negatively selected using the RosetteSep antibody cocktail, while polymorphonuclear leukocytes were separated with density gradient media. Genes differentially expressed by each cell type were identified. To demonstrate the potential use of such cell subtype-specific genomic expression data, a number of the major genes previously reported to be regulated in ischemic stroke, migraine, and Tourette syndrome are shown to be associated with distinct cell populations in blood. These specific gene expression, cell-type-related profiles will need to be confirmed in larger data sets and could be used to study these and many other neurological diseases. This study includes data from major blood cell types from normal individuals. These cell types include CD4+ T cells, CD8+ T cells, CD19+ B cells, CD56+ natural killer cells, CD14+ monocytes and PMN (polymorphonuclear cells). The data were hybridized on 3 separate batches of gene chips.
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Project description:This study performed Illumina Methylation450 analysis of CD4+ T-cells, CD19+ B-cells and CD14+ Monocytes from lupus patients and controls. A validation cohort was further analyzed with the same platform using CD4+ T-cells, CD45RO-CD45RA+ naive T-cells, CD45RO+CD45RA- memory T-cells, and CD25+CD127- regulatory T-cells. SLE v Control comparisions were made within each cell type. The SLE patient samples are labeled SLEnnnn and the controls Xnnnn. The cell type CD4, CD14, CD19, Tmem, Treg, Tnaive is appended to each sample ID.
2014-07-10 | E-GEOD-59250 | biostudies-arrayexpress