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10.1038/ncomms8440 http://scihub22266oqcxt.onion/10.1038/ncomms8440 C4467457!4467457!26067805     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2015 ; 6 (ä): ä Nephropedia Template TP {{tp|p=26067805|t=2015. Context influences on TALE?DNA binding revealed by quantitative profiling |pdf=|usr=}}{{26067805}} gab.com Text Context influences on TALE DNA binding revealed by quantitative profiling JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=26067805 #FOAvip Transcription activator-like effector (TALE) proteins recognize DNA using a seemingly simple DNA-binding code, which makes them attractive for use in genome engineering technologies that require precise targeting. Although this code is used successfully to design TALEs to target specific sequences, off-target binding has been observed and is difficult to predict. Here we explore TALE?DNA interactions comprehensively by quantitatively assaying the DNA-binding specificities of 21 representative TALEs to ?5,000?20,000 unique DNA sequences per protein using custom-designed protein-binding microarrays (PBMs). We find that protein context features exert significant influences on binding. Thus, the canonical recognition code does not fully capture the complexity of TALE?DNA binding. We used the PBM data to develop a computational model, Specificity Inference For TAL-Effector Design (SIFTED), to predict the DNA-binding specificity of any TALE. We provide SIFTED as a publicly available web tool that predicts potential genomic off-target sites for improved TALE design. Twit Text FOAVip Context influences on TALE DNA binding revealed by quantitative profiling ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=26067805 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26067805 #FOAvip English Wikipedia <ref>{{Cite pmid|26067805}}</ref> Context influences on TALE?DNA binding revealed by quantitative profiling #MMPMID26067805 Rogers JM; Barrera LA; Reyon D; Sander JD; Kellis M; Joung JK; Bulyk ML Nat Commun 2015[]; 6 (ä): ä PMID26067805show ga Transcription activator-like effector (TALE) proteins recognize DNA using a seemingly simple DNA-binding code, which makes them attractive for use in genome engineering technologies that require precise targeting. Although this code is used successfully to design TALEs to target specific sequences, off-target binding has been observed and is difficult to predict. Here we explore TALE?DNA interactions comprehensively by quantitatively assaying the DNA-binding specificities of 21 representative TALEs to ?5,000?20,000 unique DNA sequences per protein using custom-designed protein-binding microarrays (PBMs). We find that protein context features exert significant influences on binding. Thus, the canonical recognition code does not fully capture the complexity of TALE?DNA binding. We used the PBM data to develop a computational model, Specificity Inference For TAL-Effector Design (SIFTED), to predict the DNA-binding specificity of any TALE. We provide SIFTED as a publicly available web tool that predicts potential genomic off-target sites for improved TALE design. äContext influences on TALE?DNA binding revealed by quantitative profil(epmc).pdf DeepDyve Pubget Overpricing