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Genome-wide map of H3K4me3 binding sites by ChIP-seq in human lymphoblastoid cell lines treated with doxorubicin

ABSTRACT: We have used chromatin immune-precipitation with parallel sequencing (ChIP-Seq) technology to identify genome-wide H3K4me3 binding in human lymphoblastoid cell lines treated with a DNA-damaging chemotherapeutic reagent doxorubicin.

ORGANISM(S): Homo sapiens

PROVIDER: GSE51713 | GEO | 2014/11/14

SECONDARY ACCESSION(S): PRJNA224699

REPOSITORIES: GEO

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Genome-wide map of H3K4me3 binding sites by ChIP-seq in human lymphoblastoid cell lines treated with doxorubicin

Project description:We have used chromatin immune-precipitation with parallel sequencing (ChIP-Seq) technology to identify genome-wide H3K4me3 binding in human lymphoblastoid cell lines treated with a DNA-damaging chemotherapeutic reagent doxorubicin. ChIP-Seq analysis of H3K4me3 binding sites in human lymphoblastoid cells treated with Doxorubicin or vehicle

2014-11-14 | E-GEOD-51713 | biostudies-arrayexpress

Genome-wide map of p53 binding sites by ChIP-seq in human lymphoblastoid cell lines treated with doxorubicin

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Genome-wide map of p53 binding sites by ChIP-seq in human lymphoblastoid cell lines treated with doxorubicin

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Doxorubicin treatment effects on the young mouse brain transcriptome

Project description:Doxorubicin (Doxo) is a common chemotherapeutic reagent associated with mitochondrial dysfunction, DNA damage, and cognitive impairment in human cancer patients. The purpose of this study was to determine the transcriptional effects of Doxo on the brains of young mice. 4 month old C57B6/J male mice were injected with saline sham or 10mg/kg Doxo +/- MitoQ (a mitochondria-specific antioxidant). Hippocampi were harvested from these mice and RNA was isolated to perform polyA RNA-seq to profile gene expression.

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Genome-wide map of p53 binding sites by ChIP-seq in human lymphoblastoid cell lines treated with ionizing radiation

Project description:We have used chromatin immune-precipitation with parallel sequencing (ChIP-Seq) technology to identify genome-wide p53 binding in human lymphoblastoid cell lines treated withionizing radiation ChIP-Seq analysis of p53 binding sites in human lymphoblastoid cells treated with ionizing radiation or vehicle

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Gene expression in human lymphoblastoid cell-line GM12878 in response to doxorubicin treatment

2014-11-14 | GSE51709 | GEO

Gene expression in human lymphoblastoid cell-line GM12878 in response to doxorubicin treatment

Project description:To determine if induced p53 binding is associated with gene expression in genome-wide. We examined mRNA levels with the Affymetrix Human Exon 1.0 ST platform in human lymphoblastoid GM12878 cells treated with doxorubicin to activate p53. In response to various cellular stresses, the tumor suppressor gene p53 induces activation or repression of more than a thousand human genes. Selective binding and transactivation of a large potential pool of p53 response elements (REs) is believed to regulate the variation in stress response across stress types and between cell types. To elucidate how the human genome is targeted by p53 at the chromatin level, we mapped the genome-wide localization of p53 and H3K4me3 from Doxo-treated human lymphoblastoid cells, and examined the relationships among p53 occupancy, gene expression, H3K4me3, chromatin accessibility (DNase 1 Hypersensitivity, DHS), ENCODE chromatin states, RE sequence specificity and evolutionary conservation. Human lymphoblastoid (GM 12878) cells at a density of 900,000 cells/ml were prepared in triplicate for each time point and treated with 0.5 µM doxorubicin (Calbiochem) for 4, 18 hr or no treatment (at 0 time). Total RNA will be extracted from each culture (9 RNA samples) using the Qiagen RNeasy kit with DNase digestion. RNA was quantified using RiboGreen (Invitrogen), check for quality by OD and Bioanalyzer and stored at -80°C. Expression analysis was conducted at at NIEHS Microarray Core using Affymetrix Human Exon 1.0 ST arrays following the Affymetrix hybridization protocols. Exon expression data were analyzed through Affymetrix Expression Console using gene-level RMA summarization and sketch-quantile normalization methods.

2014-11-14 | E-GEOD-51709 | biostudies-arrayexpress

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