Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Doxorubicin enhances nucleosome turnover around promoters

ABSTRACT: We use a metabolic labeling strategy for directly measuring nucleosome turnover to examine the effect of doxorubicin on chromatin dynamics in squamous cell carcinoma cell lines derived from genetically defined mice. We find that doxorubicin enhances nucleosome turnover around gene promoters, and turnover correlates with gene expression level. Keywords: Chromatin affinity-purification on microarray

ORGANISM(S): Mus musculus

PROVIDER: GSE43753 | GEO | 2013/04/19

SECONDARY ACCESSION(S): PRJNA187334

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Doxorubicin enhances nucleosome turnover around promoters

Project description:We use a metabolic labeling strategy for directly measuring nucleosome turnover to examine the effect of doxorubicin on chromatin dynamics in squamous cell carcinoma cell lines derived from genetically defined mice. We find that doxorubicin enhances nucleosome turnover around gene promoters, and turnover correlates with gene expression level. Keywords: Chromatin affinity-purification on microarray 26 CATCH-IT arrays and 8 expression arrays.

2013-04-19 | E-GEOD-43753 | biostudies-arrayexpress

Doxorubicin enhances nucleosome turnover around promoters.

Project description: Not available

| S-EPMC3678987 | biostudies-literature

Doxorubicin induces double-strand breaks at CpG island promoters

Project description:Doxorubicin is a widely used chemotherapeutic drug that intercalates between DNA base-pairs and posions Topoisomerase II, although the mechanistic basis for cell killing remains speculative. Here we show that both anthracyclines and Topoisomerase II poison cause enhanced DNA double-strand breaks around CpG island promoters of active genes genome-wide. We propose that torsion-based enhancement of nucleosome turnover exposes promoter DNA, ultimately causing DNA breaks around promoters that contributes to cell killing. We have analyzed mouse squamous cell carcinoma cells treated with doxorubicin, aclarubicin and etoposide. The direct in situ Breaks Labeling, Enrichment on Streptavidin (BLESS, PMID 23503052) method was used for mapping DNA double-strand breaks genome-wide.

2015-01-31 | E-GEOD-62927 | biostudies-arrayexpress

Doxorubicin Changes the Spatial Organization of the Genome around Active Promoters

Project description:To investigate the function of the TOP2 inhibitors treatment in binding of chromatin architecture factors, we performed ChIP-seq. We used chromatin from RPE1 cells treated with four different conditions: control (DMSO-treatment), doxorubicin treatment (200 nM and 340 nM) and ICRF193 treatment (5uM).

2023-03-31 | GSE215318 | GEO

Doxorubicin induces double-strand breaks at CpG island promoters

2015-01-31 | GSE62927 | GEO

Doxorubicin Changes the Spatial Organization of the Genome around Active Promoters

Project description:To investigate the function of the doxorubicin treatment in differentiation expression of human genes, we performed gene expression profiling analysis using data obtained from RNA-seq of three different conditions: control (DMSO-treatment) and doxorubicin treatment (200 nM and 340 nM).

2023-03-31 | GSE215321 | GEO

CATCH-IT method for measuring nucleosome turnover

Project description:Direct measurement of nucleosome turnover dynamics by using co-translational incorporation of the methionine (Met) surrogate azidohomoalaine (Aha) into proteins and subsequent ligation of biotin to Aha-containing proteins through the [3+2] cycloaddition reaction between the azide group of Aha and an alkyne linked to biotin. To measure turnover rates, we treat cells briefly with Aha, couple biotin to nucleosomes containing newly incorporated histones, affinity purify with strepavidin, wash stringently to remove non-histone proteins and H2A/H2B dimers, and analyze the affinity-purified DNA using tiling microarrays. We call this strategy 'CATCH-IT' for Covalent Attachment of Tags to Capture Histones and Identify Turnover. Keywords: Chromatin affinity-purification on microarray All experiments were done using strepavidin pulldown DNA cohybridized with total input DNA to the same array. Two channels per array, Cy5 and Cy3, were used in each experiment.

2010-05-27 | E-GEOD-19788 | biostudies-arrayexpress

CATCH-IT method for measuring nucleosome turnover

2010-05-27 | GSE19788 | GEO

Genome-wide incorporation dynamics reveal distinct categories of turnover for the histone variant H3.3

Project description:We developed a system to study the DNA replication-independent turnover nucleosomes containing the histone variant H3.3 in mammalian cells. By measuring the genome-wide incorporation of H3.3 at different time points following epitope-tagged H3.3 expression, we find three categories of H3.3-nucleosome turnover in vivo: rapid turnover, intermediate turnover and, specifically at telomeres, slow turnover. Our data indicate that H3.3-containing nucleosomes at enhancers and promoters undergo a rapid turnover that is associated with active histone modification marks including H3K4me1, H3K4me3, H3K9ac, H3K27ac and the histone variant H2A.Z. The rate of turnover is negatively correlated with H3K27me3 at regulatory regions and with H3K36me3 at gene bodies. Examination of incorporation dynamics of histone variant H3.3

2013-10-23 | E-GEOD-51505 | biostudies-arrayexpress

The nucleosomal barrier to promoter escape by RNA Polymerase II is overcome by the chromatin remodeler Chd1 [NimbleGen]

Project description:We use a metabolic labeling strategy for directly measuring nucleosome turnover to determine the role of chromatin remodeler Chd1 on chromatin dynamics in mouse embryonic fibroblasts expressing with wildtype-Chd1 and dominant negative K510R-Chd1. We find that expression of K510R-Chd1 decreases nucleosome turnover at the promoter and increases turnover within the gene body. 10 Illumina sequencing samples and 4 Nimblegen array samples

2014-04-15 | E-GEOD-52347 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data