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10.1038/srep22811 http://scihub22266oqcxt.onion/10.1038/srep22811 C4785360!4785360!26960563     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26960563&cmd=llinks): Failed to open stream: HTTP request failed! 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A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia |pdf=|usr=}}{{26960563}} gab.com Text A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26960563 #FOAvip We have studied drug-response associated (DRA) gene expressions by applying a systems biology framework to the Cancer Cell Line Encyclopedia data. More than 4,000 genes are inferred to be DRA for at least one drug, while the number of DRA genes for each drug varies dramatically from almost 0 to 1,226. Functional enrichment analysis shows that the DRA genes are significantly enriched in genes associated with cell cycle and plasma membrane. Moreover, there might be two patterns of DRA genes between genders. There are significantly shared DRA genes between male and female for most drugs, while very little DRA genes tend to be shared between the two genders for a few drugs targeting sex-specific cancers (e.g., PD-0332991 for breast cancer and ovarian cancer). Our analyses also show substantial difference for DRA genes between young and old samples, suggesting the necessity of considering the age effects for personalized medicine in cancers. Lastly, differential module and key driver analyses confirm cell cycle related modules as top differential ones for drug sensitivity. The analyses also reveal the role of TSPO, TP53, and many other immune or cell cycle related genes as important key drivers for DRA network modules. These key drivers provide new drug targets to improve the sensitivity of cancer therapy. Twit Text FOAVip A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26960563 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26960563 #FOAvip English Wikipedia <ref>{{Cite pmid|26960563}}</ref> A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia #MMPMID26960563 Liu X; Yang J; Zhang Y; Fang Y; Wang F; Wang J; Zheng X; Yang J Sci Rep 2016[]; 6 (�): � PMID26960563show ga We have studied drug-response associated (DRA) gene expressions by applying a systems biology framework to the Cancer Cell Line Encyclopedia data. More than 4,000 genes are inferred to be DRA for at least one drug, while the number of DRA genes for each drug varies dramatically from almost 0 to 1,226. Functional enrichment analysis shows that the DRA genes are significantly enriched in genes associated with cell cycle and plasma membrane. Moreover, there might be two patterns of DRA genes between genders. There are significantly shared DRA genes between male and female for most drugs, while very little DRA genes tend to be shared between the two genders for a few drugs targeting sex-specific cancers (e.g., PD-0332991 for breast cancer and ovarian cancer). Our analyses also show substantial difference for DRA genes between young and old samples, suggesting the necessity of considering the age effects for personalized medicine in cancers. Lastly, differential module and key driver analyses confirm cell cycle related modules as top differential ones for drug sensitivity. The analyses also reveal the role of TSPO, TP53, and many other immune or cell cycle related genes as important key drivers for DRA network modules. These key drivers provide new drug targets to improve the sensitivity of cancer therapy. �A systematic study on drug-response associated genes using baseline ge(epmc).pdf DeepDyve Pubget Overpricing