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10.1016/j.celrep.2016.07.061 http://scihub22266oqcxt.onion/10.1016/j.celrep.2016.07.061 C5009115!5009115 !27545896     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27545896 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Cell+Rep 2016 ; 16 (9 ): 2525-37 Nephropedia Template TP {{tp|p=27545896 |t=2016. Synthetic Biology Platform for Sensing and Integrating Endogenous Transcriptional Inputs in Mammalian Cells |pdf=|usr=}}{{27545896 }} gab.com Text Synthetic Biology Platform for Sensing and Integrating Endogenous Transcriptional Inputs in Mammalian Cells JO: Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=27545896 #FOAvip One of the goals of synthetic biology is to develop programmable artificial gene networks that can transduce multiple endogenous molecular cues to precisely control cell behavior. Realizing this vision requires interfacing natural molecular inputs with synthetic components that generate functional molecular outputs. Interfacing synthetic circuits with endogenous mammalian transcription factors has been particularly difficult. Here, we describe a systematic approach that enables integration and transduction of multiple mammalian transcription factor inputs by a synthetic network. The approach is facilitated by a proportional amplifier sensor based on synergistic positive autoregulation. The circuits efficiently transduce endogenous transcription factor levels into RNAi, transcriptional transactivation, and site-specific recombination. They also enable AND logic between pairs of arbitrary transcription factors. The results establish a framework for developing synthetic gene networks that interface with cellular processes through transcriptional regulators. Twit Text FOAVip Synthetic Biology Platform for Sensing and Integrating Endogenous Transcriptional Inputs in Mammalian Cells ????Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=27545896 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27545896 #FOAvip English Wikipedia <ref>{{Cite pmid|27545896 }}</ref> Synthetic Biology Platform for Sensing and Integrating Endogenous Transcriptional Inputs in Mammalian Cells #MMPMID27545896 Angelici B ; Mailand E ; Haefliger B ; Benenson Y Cell Rep 2016[Aug]; 16 (9 ): 2525-37 PMID27545896 show ga One of the goals of synthetic biology is to develop programmable artificial gene networks that can transduce multiple endogenous molecular cues to precisely control cell behavior. Realizing this vision requires interfacing natural molecular inputs with synthetic components that generate functional molecular outputs. Interfacing synthetic circuits with endogenous mammalian transcription factors has been particularly difficult. Here, we describe a systematic approach that enables integration and transduction of multiple mammalian transcription factor inputs by a synthetic network. The approach is facilitated by a proportional amplifier sensor based on synergistic positive autoregulation. The circuits efficiently transduce endogenous transcription factor levels into RNAi, transcriptional transactivation, and site-specific recombination. They also enable AND logic between pairs of arbitrary transcription factors. The results establish a framework for developing synthetic gene networks that interface with cellular processes through transcriptional regulators. |*Biosensing Techniques [MESH] |*Gene Regulatory Networks [MESH] |Animals [MESH] |Cell Line, Tumor [MESH] |HCT116 Cells [MESH] |HEK293 Cells [MESH] |HeLa Cells [MESH] |Hepatocytes/cytology/metabolism [MESH] |Humans [MESH] |Metabolic Engineering/*methods [MESH] |RNA Interference [MESH] |Recombination, Genetic [MESH] |Signal Transduction [MESH] |Synthetic Biology/*methods [MESH] |Transcription Factors/*genetics/metabolism [MESH]Synthetic Biology Platform for Sensing and Integrating Endogenous Tran(epmc).pdf DeepDyve Pubget Overpricing