Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Identifying actionable targets through integrative analyses of GEM model and human prostate cancer profiling [Agilent]


ABSTRACT: Here we prolife prostate cancers derived from GEM models of prostate cancer representative of human prostate cancer Total DNA was isolated from established prostate cancers in 4 GEM models of prostate cancer - PB-MYC, Pten-/-, Pten-/- p53-/-, Pten-/- Rosa26-ERG, and 3 cell lines derived from GEM models including CaP8, MYC CaP, and MPC3 and normalized to wild-type prostate of litter-mate mice of same genetic background strain

ORGANISM(S): Mus musculus

SUBMITTER: Jeffrey Zhao 

PROVIDER: E-GEOD-61382 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Identifying actionable targets through integrative analyses of GEM model and human prostate cancer genomic profiling.

Wanjala Jackie J   Taylor Barry S BS   Chapinski Caren C   Hieronymus Haley H   Wongvipat John J   Chen Yu Y   Nanjangud Gouri J GJ   Schultz Nikolaus N   Xie Yingqiu Y   Liu Shenji S   Lu Wenfu W   Yang Qing Q   Sander Chris C   Chen Zhenbang Z   Sawyers Charles L CL   Carver Brett S BS  

Molecular cancer therapeutics 20141107 1


Copy-number alterations (CNA) are among the most common molecular events in human prostate cancer genomes and are associated with worse prognosis. Identification of the oncogenic drivers within these CNAs is challenging due to the broad nature of these genomic gains or losses which can include large numbers of genes within a given region. Here, we profiled the genomes of four genetically engineered mouse prostate cancer models that reflect oncogenic events common in human prostate tumors, with t  ...[more]

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