Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1371/journal.pcbi.1005089 http://scihub22266oqcxt.onion/10.1371/journal.pcbi.1005089 C4999240!4999240 !27560383     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 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\27560383 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       PLoS+Comput+Biol 2016 ; 12 (8 ): e1005089 Nephropedia Template TP {{tp|p=27560383 |t=2016. Noncommutative Biology: Sequential Regulation of Complex Networks |pdf=|usr=}}{{27560383 }} gab.com Text Noncommutative Biology: Sequential Regulation of Complex Networks JO: PLoS Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=27560383 #FOAvip Single-cell variability in gene expression is important for generating distinct cell types, but it is unclear how cells use the same set of regulatory molecules to specifically control similarly regulated genes. While combinatorial binding of transcription factors at promoters has been proposed as a solution for cell-type specific gene expression, we found that such models resulted in substantial information bottlenecks. We sought to understand the consequences of adopting sequential logic wherein the time-ordering of factors informs the final outcome. We showed that with noncommutative control, it is possible to independently control targets that would otherwise be activated simultaneously using combinatorial logic. Consequently, sequential logic overcomes the information bottleneck inherent in complex networks. We derived scaling laws for two noncommutative models of regulation, motivated by phosphorylation/neural networks and chromosome folding, respectively, and showed that they scale super-exponentially in the number of regulators. We also showed that specificity in control is robust to the loss of a regulator. Lastly, we connected these theoretical results to real biological networks that demonstrate specificity in the context of promiscuity. These results show that achieving a desired outcome often necessitates roundabout steps. Twit Text FOAVip Noncommutative Biology: Sequential Regulation of Complex Networks ????PLoS Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=27560383 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27560383 #FOAvip English Wikipedia <ref>{{Cite pmid|27560383 }}</ref> Noncommutative Biology: Sequential Regulation of Complex Networks #MMPMID27560383 Letsou W ; Cai L PLoS Comput Biol 2016[Aug]; 12 (8 ): e1005089 PMID27560383 show ga Single-cell variability in gene expression is important for generating distinct cell types, but it is unclear how cells use the same set of regulatory molecules to specifically control similarly regulated genes. While combinatorial binding of transcription factors at promoters has been proposed as a solution for cell-type specific gene expression, we found that such models resulted in substantial information bottlenecks. We sought to understand the consequences of adopting sequential logic wherein the time-ordering of factors informs the final outcome. We showed that with noncommutative control, it is possible to independently control targets that would otherwise be activated simultaneously using combinatorial logic. Consequently, sequential logic overcomes the information bottleneck inherent in complex networks. We derived scaling laws for two noncommutative models of regulation, motivated by phosphorylation/neural networks and chromosome folding, respectively, and showed that they scale super-exponentially in the number of regulators. We also showed that specificity in control is robust to the loss of a regulator. Lastly, we connected these theoretical results to real biological networks that demonstrate specificity in the context of promiscuity. These results show that achieving a desired outcome often necessitates roundabout steps. |*Gene Regulatory Networks/genetics/physiology [MESH] |*Models, Biological [MESH] |*Signal Transduction/genetics/physiology [MESH] |Computational Biology/*methods [MESH]Noncommutative Biology: Sequential Regulation of Complex Networks (epmc).pdf DeepDyve Pubget Overpricing