Transcriptomics

Dataset Information

0

Taxane-selected ovarian cancer cell lines


ABSTRACT: Each of the six ovarian carcinoma cell lines was exposed to docetaxel or paclitaxel at IC50 levels (the concentration required to kill 50% of the population). After several passages at this initial concentration of taxanes, drug concentrations were escalated, and this process was repeated until variants displayed at least a 10-fold resistance to the selecting agents. mRNA and genomic DNA were isolated from the parental and resistant variants, and hybridized onto Stanford human cDNA microarrays containing about 42000 elements. We analyzed the gene expression profiles and copy number alterations, and identified a cluster of genes co-activated with MDR1 on chromosome arm 7q21. In six of these variants, regional activation was driven by gene copy number alterations, with low-level gains or high-level amplifications spanning the involved region. However, three variants displayed a regional increases in gene expression even without concomitant gene copy number changes. These results suggest that regional gene activation may be a fundamental mechanism for acquired drug resistance, with or without changes in gene dosage. In addition to numerical and structural chromosomal changes driven by genome instability in cancer cells, other mechanisms might be involved in MDR1 regional activation, such as chromatin remodeling and DNA or histone modifications of the 7q21 region. A compound treatment design type is where the response to administration of a compound or chemical (including biological compounds such as hormones) is assayed. Keywords: compound treatment design, arrayCGH, expression profiles

ORGANISM(S): Homo sapiens

PROVIDER: GSE4173 | GEO | 2006/02/25

SECONDARY ACCESSION(S): PRJNA95091

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2006-02-24 | E-GEOD-4173 | biostudies-arrayexpress
2006-06-06 | E-SMDB-3612 | biostudies-arrayexpress
| PRJNA613282 | ENA
| PRJNA153385 | ENA
| PRJNA146995 | ENA
| PRJNA433353 | ENA
2014-01-18 | GSE54185 | GEO
2017-06-19 | ST000747 | MetabolomicsWorkbench
| PRJNA145845 | ENA
| PRJNA157931 | ENA