Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

MRNA expression data from human breast cancer cell lines after demethylation treatment.


ABSTRACT: The contribution of aberrant DNA methylation and the downstream effects in tumorogenesis through silencing of tumor suppressor genes (TSGs) and microRNAs has been investigated. Since these epigenetic alterations can be reversed, we investigated the effects of the epigenetic therapy in breast cancer cell lines. We used microarrays to investigate the global gene expression profile after demethylation treatment with 5-aza-2’-deoxycytidine (DAC) in breast cancer cell lines and identified distinct classes of early and late systematic stable or transient effects of the treatment. Three selected breast cell lines including MDA-MB231 (a highly aggressive cell line), SKBR3 (a non-aggressive cell line) and HB2 (a breast epithelial cell line as control) were subject for RNA isolation before treatment, after treatment with DAC and at five point follow-ups (1st, 3rd, 5th, 7th and 10th passages) at “drug holiday” condition and hybridized on Affymetrix microarrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Ramin Radpour 

PROVIDER: E-GEOD-28968 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Integrated epigenetics of human breast cancer: synoptic investigation of targeted genes, microRNAs and proteins upon demethylation treatment.

Radpour Ramin R   Barekati Zeinab Z   Kohler Corina C   Schumacher Martin M MM   Grussenmeyer Thomas T   Jenoe Paul P   Hartmann Nicole N   Moes Suzette S   Letzkus Martin M   Bitzer Johannes J   Lefkovits Ivan I   Staedtler Frank F   Zhong Xiao Yan XY  

PloS one 20111104 11


<h4>Background</h4>The contribution of aberrant DNA methylation in silencing of tumor suppressor genes (TSGs) and microRNAs has been investigated. Since these epigenetic alterations are reversible, it became of interest to determine the effects of the 5-aza-2'-deoxycytidine (DAC) demethylation therapy in breast cancer at different molecular levels.<h4>Methods and findings</h4>Here we investigate a synoptic model to predict complete DAC treatment effects at the level of genes, microRNAs and prote  ...[more]

Similar Datasets

2012-01-24 | E-GEOD-28969 | biostudies-arrayexpress
2012-01-24 | GSE28969 | GEO
2012-01-24 | GSE28968 | GEO
2012-03-21 | E-GEOD-20945 | biostudies-arrayexpress
| PRJNA124427 | ENA
2008-04-30 | E-GEOD-10455 | biostudies-arrayexpress
2017-12-08 | GSE97481 | GEO
2011-05-25 | E-GEOD-27515 | biostudies-arrayexpress
2013-06-03 | E-GEOD-40057 | biostudies-arrayexpress
2013-06-03 | E-GEOD-40056 | biostudies-arrayexpress