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10.1039/c5ib00252d http://scihub22266oqcxt.onion/10.1039/c5ib00252d C4837018!4837018 !26686885     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26686885 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26686885 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Integr+Biol+(Camb) 2016 ; 8 (4 ): 394-408 Nephropedia Template TP {{tp|p=26686885 |t=2016. Build to understand: synthetic approaches to biology |pdf=|usr=}}{{26686885 }} gab.com Text Build to understand: synthetic approaches to biology JO: Integr Biol (Camb) http://www.kidney.de/pget.php?&tw=1&pmid=26686885 #FOAvip In this review we discuss how synthetic biology facilitates the task of investigating genetic circuits that are observed in naturally occurring biological systems. Specifically, we give examples where experimentation with synthetic gene circuits has been used to understand four fundamental mechanisms intrinsic to development and disease: multistability, stochastic gene expression, oscillations, and cell-cell communication. Within each area, we also discuss how mathematical modeling has been employed as an essential tool to guide the design of novel gene circuits and as a theoretical basis for exploring circuit topologies exhibiting robust behaviors in the presence of noise. Twit Text FOAVip Build to understand: synthetic approaches to biology ????Integr Biol (Camb) http://www.kidney.de/pget.php?&tw=1&pmid=26686885 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26686885 #FOAvip English Wikipedia <ref>{{Cite pmid|26686885 }}</ref> Build to understand: synthetic approaches to biology #MMPMID26686885 Wang LZ ; Wu F ; Flores K ; Lai YC ; Wang X Integr Biol (Camb) 2016[Apr]; 8 (4 ): 394-408 PMID26686885 show ga In this review we discuss how synthetic biology facilitates the task of investigating genetic circuits that are observed in naturally occurring biological systems. Specifically, we give examples where experimentation with synthetic gene circuits has been used to understand four fundamental mechanisms intrinsic to development and disease: multistability, stochastic gene expression, oscillations, and cell-cell communication. Within each area, we also discuss how mathematical modeling has been employed as an essential tool to guide the design of novel gene circuits and as a theoretical basis for exploring circuit topologies exhibiting robust behaviors in the presence of noise. |*Gene Regulatory Networks [MESH] |Animals [MESH] |Bacillus subtilis/genetics [MESH] |Cell Communication [MESH] |Computer Simulation [MESH] |Feedback, Physiological [MESH] |Gene Expression [MESH] |Humans [MESH] |Models, Genetic [MESH] |N-Acetylmuramoyl-L-alanine Amidase/chemistry [MESH] |Oscillometry [MESH] |Stochastic Processes [MESH]Build to understand: synthetic approaches to biology (epmc).pdf DeepDyve Pubget Overpricing