Differential gene expression profiles between two novel murine prostate cancer cell lines derived from androgen‑dependent (PLum‑AD cells) and androgen‑independent (PLum‑AI cells) prostate cancer
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PROVIDER: PRJNA635086 | ENA |
REPOSITORIES: ENA
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Project description:Orthotopic tumors were previously generated from parental Prostate Luminal (PLum) cells under androgen‑dependent (PLum-AD) and androgen‑independent (PLum-AI) conditions in order to establish cellular models of prostate cancer progression (Abou-Kheir et al., 2011; doi: 10.1371/journal.pone.0026112). We used microarrays to evaluate the differential gene expression profiles underlying progression of prostate cancer from primary androgen-dependent stage to advanced androgen-independent stage using newly isolated murine prostate cancer cell lines. Those cell lines represent novel in vitro models of androgen‑dependent and –independent prostate cancer, recapitulating the progression of the disease to a more invasive phenotype upon androgen deprivation.
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Project description:Abstract: BACKGROUND: The aim of this study was to characterize gene expression and DNA copy number profiles in androgen sensitive (AS) and androgen insensitive (AI) prostate cancer cell lines on a genome-wide scale. METHODS: Gene expression profiles and DNA copy number changes were examined using DNA microarrays in eight commonly used prostate cancer cell lines. Chromosomal regions with DNA copy number changes were identified using cluster along chromosome (CLAC). RESULTS: There were discrete differences in gene expression patterns between AS and AI cells that were not limited to androgen-responsive genes. AI cells displayed more DNA copy number changes, especially amplifications, than AS cells. The gene expression profiles of cell lines showed limited similarities to prostate tumors harvested at surgery. CONCLUSIONS: AS and AI cell lines are different in their transcriptional programs and degree of DNA copy number alterations. This dataset provides a context for the use of prostate cancer cell lines as models for clinical cancers. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed
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Project description:This SuperSeries is composed of the following subset Series: GSE4016: Gene expression variations in prostate cancer cell lines GSE4017: DNA copy number changes in prostate cancer cell lines Abstract: BACKGROUND: The aim of this study was to characterize gene expression and DNA copy number profiles in androgen sensitive (AS) and androgen insensitive (AI) prostate cancer cell lines on a genome-wide scale. METHODS: Gene expression profiles and DNA copy number changes were examined using DNA microarrays in eight commonly used prostate cancer cell lines. Chromosomal regions with DNA copy number changes were identified using cluster along chromosome (CLAC). RESULTS: There were discrete differences in gene expression patterns between AS and AI cells that were not limited to androgen-responsive genes. AI cells displayed more DNA copy number changes, especially amplifications, than AS cells. The gene expression profiles of cell lines showed limited similarities to prostate tumors harvested at surgery. CONCLUSIONS: AS and AI cell lines are different in their transcriptional programs and degree of DNA copy number alterations. This dataset provides a context for the use of prostate cancer cell lines as models for clinical cancers. Refer to individual Series
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