Genomics

Dataset Information

0

ChIP-seq analysis of H3K4Me3- and H3K27Me3-marked chromatin in mesenchymal stem cells (MSCs), osteoblasts derived from MSCs and the osteosarcoma cell line U2OS


ABSTRACT: Many DNA-hypermethylated cancer genes are occupied by the polycomb (PcG) repressor complex in embryonic stem cells (ESCs). Their prevalence in the full spectrum of cancers, the exact context of chromatin involved, and their status in adult cell renewal systems are unknown. Using a genome-wide analysis, we demonstrate that approximately 75% of hypermethylated genes are marked by PcG in the context of bivalent chromatin in both ESC and adult stem/progenitor cells. A large number of these genes are key developmental regulators and a subset, which we call the "DNA hypermethylation module", comprise a portion of the PcG target genes that are downregulated in cancer. Genes with bivalent chromatin have a low, poised gene transcription state that has been shown to maintain stemness and self-renewal in normal stem cells. However, when DNA-hypermethylated in tumors, we find these genes are further repressed. We also show that the methylation status of these genes can cluster important subtypes of colon and breast cancers. By evaluating the subsets of genes that are methylated in different cancers with consideration of their chromatin status in ESCs, we provide evidence that DNA-hypermethylation preferentially targets the subset of PcG genes that are developmental regulators, and this may contribute to the stem-like state of cancer. Additionally, the capacity for global methylation profiling to cluster tumors by phenotype may have important implications for further refining tumor behavior patterns that may ultimately aid therapeutic interventions.

ORGANISM(S): Homo sapiens

PROVIDER: GSE35573 | GEO | 2012/03/02

SECONDARY ACCESSION(S): PRJNA156085

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2012-03-02 | E-GEOD-35573 | biostudies-arrayexpress
2007-10-26 | GSE4809 | GEO
2014-07-01 | GSE43093 | GEO
2009-01-20 | GSE11173 | GEO
2023-01-12 | GSE222521 | GEO
2023-01-12 | GSE222611 | GEO
2023-01-11 | GSE222612 | GEO
2023-01-12 | GSE222523 | GEO
2014-07-01 | E-GEOD-43093 | biostudies-arrayexpress
2014-09-25 | E-GEOD-52112 | biostudies-arrayexpress