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10.1016/j.celrep.2016.05.037

http://scihub22266oqcxt.onion/10.1016/j.celrep.2016.05.037
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C4912004!4912004!27264179
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suck abstract from ncbi


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pmid27264179      Cell+Rep 2016 ; 15 (11): 2348-56
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  • A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors #MMPMID27264179
  • Gayvert K; Dardenne E; Cheung C; Boland MR; Lorberbaum T; Wanjala J; Chen Y; Rubin M; Tatonetti NP; Rickman D; Elemento O
  • Cell Rep 2016[Jun]; 15 (11): 2348-56 PMID27264179show ga
  • Mutations in transcription factors (TFs) genes are frequently observed in tumors, often leading to aberrant transcriptional activity. Unfortunately, TFs are often considered undruggable due to the absence of targetable enzymatic activity. To address this problem, we developed CRAFTT, a Computational drug-Repositioning Approach For Targeting Transcription factor activity. CRAFTT combines ChIP-seq with drug-induced expression profiling to identify small molecules that can specifically perturb TF activity. Application to ENCODE ChIP-seq datasets revealed known drug-TF interactions and a global drug-protein network analysis further supported these predictions. Application of CRAFTT to ERG, a pro-invasive, frequently over-expressed oncogenic TF predicted that dexamethasone would inhibit ERG activity. Indeed, dexamethasone significantly decreased cell invasion and migration in an ERG-dependent manner. Furthermore, analysis of Electronic Medical Record data indicates a protective role for dexamethasone against prostate cancer. Altogether, our method provides a broadly applicable strategy to identify drugs that specifically modulate TF activity.
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