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Status |
Public on Mar 08, 2006 |
Title |
Genome-wide characterization of gene expression variations and DNA copy number changes in prostate cancer cell lines |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array Genome variation profiling by array
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Summary |
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.
This SuperSeries is composed of the SubSeries listed below.
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Overall design |
Refer to individual Series
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Citation(s) |
15486987 |
Submission date |
Mar 07, 2006 |
Last update date |
Dec 28, 2012 |
Organization |
Stanford Microarray Database (SMD) |
E-mail(s) |
array@genome.stanford.edu
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Phone |
650-498-6012
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URL |
http://genome-www5.stanford.edu/
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Department |
Stanford University, School of Medicine
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Street address |
300 Pasteur Drive
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City |
Stanford |
State/province |
CA |
ZIP/Postal code |
94305 |
Country |
USA |
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Platforms (2) |
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Samples (16)
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This SuperSeries is composed of the following SubSeries: |
GSE4016 |
Gene expression variations in prostate cancer cell lines |
GSE4017 |
DNA copy number changes in prostate cancer cell lines |
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Relations |
BioProject |
PRJNA94589 |