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10.1093/nar/gkw1235 http://scihub22266oqcxt.onion/10.1093/nar/gkw1235 C5388427!5388427!28180313     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       Nucleic+Acids+Res 2017 ; 45 (3): 1069-78 Nephropedia Template TP {{tp|p=28180313|t=2017. Stochastic timing in gene expression for simple regulatory strategies |pdf=|usr=}}{{28180313}} gab.com Text Stochastic timing in gene expression for simple regulatory strategies JO: Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=28180313 #FOAvip Timing is essential for many cellular processes, from cellular responses to external stimuli to the cell cycle and circadian clocks. Many of these processes are based on gene expression. For example, an activated gene may be required to reach in a precise time a threshold level of expression that triggers a specific downstream process. However, gene expression is subject to stochastic fluctuations, naturally inducing an uncertainty in this threshold-crossing time with potential consequences on biological functions and phenotypes. Here, we consider such ?timing fluctuations? and we ask how they can be controlled. Our analytical estimates and simulations show that, for an induced gene, timing variability is minimal if the threshold level of expression is approximately half of the steady-state level. Timing fluctuations can be reduced by increasing the transcription rate, while they are insensitive to the translation rate. In presence of self-regulatory strategies, we show that self-repression reduces timing noise for threshold levels that have to be reached quickly, while self-activation is optimal at long times. These results lay a framework for understanding stochasticity of endogenous systems such as the cell cycle, as well as for the design of synthetic trigger circuits. Twit Text FOAVip Stochastic timing in gene expression for simple regulatory strategies ????Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=28180313 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28180313 #FOAvip English Wikipedia <ref>{{Cite pmid|28180313}}</ref> Stochastic timing in gene expression for simple regulatory strategies #MMPMID28180313 Co AD; Lagomarsino MC; Caselle M; Osella M Nucleic Acids Res 2017[Feb]; 45 (3): 1069-78 PMID28180313show ga Timing is essential for many cellular processes, from cellular responses to external stimuli to the cell cycle and circadian clocks. Many of these processes are based on gene expression. For example, an activated gene may be required to reach in a precise time a threshold level of expression that triggers a specific downstream process. However, gene expression is subject to stochastic fluctuations, naturally inducing an uncertainty in this threshold-crossing time with potential consequences on biological functions and phenotypes. Here, we consider such ?timing fluctuations? and we ask how they can be controlled. Our analytical estimates and simulations show that, for an induced gene, timing variability is minimal if the threshold level of expression is approximately half of the steady-state level. Timing fluctuations can be reduced by increasing the transcription rate, while they are insensitive to the translation rate. In presence of self-regulatory strategies, we show that self-repression reduces timing noise for threshold levels that have to be reached quickly, while self-activation is optimal at long times. These results lay a framework for understanding stochasticity of endogenous systems such as the cell cycle, as well as for the design of synthetic trigger circuits. äStochastic timing in gene expression for simple regulatory strategies (epmc).pdf DeepDyve Pubget Overpricing