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10.15252/msb.20167456 http://scihub22266oqcxt.onion/10.15252/msb.20167456 C5408778!5408778!28438832     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 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 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Mol+Syst+Biol 2017 ; 13 (4): ä Nephropedia Template TP {{tp|p=28438832|t=2017. A photoconversion model for full spectral programming and multiplexing of optogenetic systems |pdf=|usr=}}{{28438832}} gab.com Text A photoconversion model for full spectral programming and multiplexing of optogenetic systems JO: Mol Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=28438832 #FOAvip Optogenetics combines externally applied light signals and genetically engineered photoreceptors to control cellular processes with unmatched precision. Here, we develop a mathematical model of wavelength? and intensity?dependent photoconversion, signaling, and output gene expression for our two previously engineered light?sensing Escherichia coli two?component systems. To parameterize the model, we develop a simple set of spectral and dynamical calibration experiments using our recent open?source ?Light Plate Apparatus? device. In principle, the parameterized model should predict the gene expression response to any time?varying signal from any mixture of light sources with known spectra. We validate this capability experimentally using a suite of challenging light sources and signals very different from those used during the parameterization process. Furthermore, we use the model to compensate for significant spectral cross?reactivity inherent to the two sensors in order to develop a new method for programming two simultaneous and independent gene expression signals within the same cell. Our optogenetic multiplexing method will enable powerful new interrogations of how metabolic, signaling, and decision?making pathways integrate multiple input signals. Twit Text FOAVip A photoconversion model for full spectral programming and multiplexing of optogenetic systems ????Mol Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=28438832 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28438832 #FOAvip English Wikipedia <ref>{{Cite pmid|28438832}}</ref> A photoconversion model for full spectral programming and multiplexing of optogenetic systems #MMPMID28438832 Olson EJ; Tzouanas CN; Tabor JJ Mol Syst Biol 2017[Apr]; 13 (4): ä PMID28438832show ga Optogenetics combines externally applied light signals and genetically engineered photoreceptors to control cellular processes with unmatched precision. Here, we develop a mathematical model of wavelength? and intensity?dependent photoconversion, signaling, and output gene expression for our two previously engineered light?sensing Escherichia coli two?component systems. To parameterize the model, we develop a simple set of spectral and dynamical calibration experiments using our recent open?source ?Light Plate Apparatus? device. In principle, the parameterized model should predict the gene expression response to any time?varying signal from any mixture of light sources with known spectra. We validate this capability experimentally using a suite of challenging light sources and signals very different from those used during the parameterization process. Furthermore, we use the model to compensate for significant spectral cross?reactivity inherent to the two sensors in order to develop a new method for programming two simultaneous and independent gene expression signals within the same cell. Our optogenetic multiplexing method will enable powerful new interrogations of how metabolic, signaling, and decision?making pathways integrate multiple input signals. äA photoconversion model for full spectral programming and multiplexing(epmc).pdf DeepDyve Pubget Overpricing