Genomics

Dataset Information

0

Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [ChIP-Seq]


ABSTRACT: Purpose:Assess the reprogramming of H3K4me1, H3K4me3, H3K27ac and H3K27me3 in paclitaxel-resistant triple-negative breast cancer cells relative to paclitaxel-sensitive cells Methods: ChIP-seq was performed on paclitaxel-treated MDA-MB-436 cells that are resistant to Paclitaxel (R20A, R20B, R20C) and in control-treated (DMSO) parental MDA-MB-436 cells that are sensitive to Paclitaxel (DMSO) Results: Using we mapped about 20 million sequence reads per sample to the human genome (hg19) and identified significant peaks in each cell lines using MACS.2.0 tool. Conclusions: Our study identified major reprogramming of H3K27me3 in the taxol-resistant TNBC cells relative to parental (TNBC cells), with loss of discrete H3K27me3 peaks in the resistant cells concomittent to acquisition of clusters of H3K27me3.

ORGANISM(S): Homo sapiens

PROVIDER: GSE113684 | GEO | 2020/08/18

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2020-08-18 | GSE113685 | GEO
2020-08-18 | GSE111541 | GEO
2020-08-18 | GSE111920 | GEO
2017-02-28 | GSE90564 | GEO
2011-07-18 | E-GEOD-12791 | biostudies-arrayexpress
2023-08-31 | E-MTAB-12821 | biostudies-arrayexpress
2015-05-12 | E-GEOD-55399 | biostudies-arrayexpress
2011-07-19 | GSE12791 | GEO
2015-02-20 | E-GEOD-56812 | biostudies-arrayexpress
2017-01-26 | GSE86839 | GEO