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10.1016/j.cell.2015.08.056 http://scihub22266oqcxt.onion/10.1016/j.cell.2015.08.056 C4644236!4644236!26388441     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell 2015 ; 163 (1): 202-17 Nephropedia Template TP {{tp|p=26388441|t=2015. Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling |pdf=|usr=}}{{26388441}} gab.com Text Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling JO: Cell http://www.kidney.de/pget.php?&tw=1&pmid=26388441 #FOAvip Cancer cells acquire pathological phenotypes through accumulation of mutations that perturb signaling networks. However, global analysis of these events is currently limited. Here, we identify six types of network-attacking mutations (NAMs), including changes in kinase and SH2 modulation, network rewiring, and the genesis and extinction of phosphorylation sites. We developed a computational platform (ReKINect) to identify NAMs and systematically interpreted the exomes and quantitative (phospho-)proteomes of five ovarian cancer cell lines and the global cancer genome repository. We identified and experimentally validated several NAMs, including PKC? M501I and PKD1 D665N, which encode specificity switches analogous to the appearance of kinases de novo within the kinome. We discover mutant molecular logic gates, a drift toward phospho-threonine signaling, weakening of phosphorylation motifs, and kinase-inactivating hotspots in cancer. Our method pinpoints functional NAMs, scales with the complexity of cancer genomes and cell signaling, and may enhance our capability to therapeutically target tumor-specific networks. Twit Text FOAVip Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling ????Cell http://www.kidney.de/pget.php?&tw=1&pmid=26388441 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26388441 #FOAvip English Wikipedia <ref>{{Cite pmid|26388441}}</ref> Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling #MMPMID26388441 Creixell P; Schoof E; Simpson C; Longden J; Miller C; Lou H; Perryman L; Cox T; Zivanovic N; Palmeri A; Wesolowska-Andersen A; Helmer-Citterich M; Ferkinghoff-Borg J; Itamochi H; Bodenmiller B; Erler J; Turk B; Linding R Cell 2015[Sep]; 163 (1): 202-17 PMID26388441show ga Cancer cells acquire pathological phenotypes through accumulation of mutations that perturb signaling networks. However, global analysis of these events is currently limited. Here, we identify six types of network-attacking mutations (NAMs), including changes in kinase and SH2 modulation, network rewiring, and the genesis and extinction of phosphorylation sites. We developed a computational platform (ReKINect) to identify NAMs and systematically interpreted the exomes and quantitative (phospho-)proteomes of five ovarian cancer cell lines and the global cancer genome repository. We identified and experimentally validated several NAMs, including PKC? M501I and PKD1 D665N, which encode specificity switches analogous to the appearance of kinases de novo within the kinome. We discover mutant molecular logic gates, a drift toward phospho-threonine signaling, weakening of phosphorylation motifs, and kinase-inactivating hotspots in cancer. Our method pinpoints functional NAMs, scales with the complexity of cancer genomes and cell signaling, and may enhance our capability to therapeutically target tumor-specific networks. äKinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Si(epmc).pdf DeepDyve Pubget Overpricing