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10.1073/pnas.1411932111 http://scihub22266oqcxt.onion/10.1073/pnas.1411932111 C4260601!4260601!25404303     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       Proc+Natl+Acad+Sci+U+S+A 2014 ; 111 (48): 17330-5 Nephropedia Template TP {{tp|p=25404303|t=2014. Noise decomposition of intracellular biochemical signaling networks using nonequivalent reporters |pdf=|usr=}}{{25404303}} gab.com Text Noise decomposition of intracellular biochemical signaling networks using nonequivalent reporters JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=25404303 #FOAvip In response to a uniform stimulus, biochemical networks display a high degree of variability when assayed across many individual cells. However, due to their complexity, the relative contributions of different pathways to the overall network variability are hard to evaluate and control. Here we introduce a technique allowing for ?noise mapping? to be performed within such networks. By experimentally assaying three distinct tumor necrosis factor (TNF) activated transcription factors within a mathematical framework, we show how noise is distributed in the TNF-induced network, in the presence or absence of feedback. This framework is readily scalable to allow the noise decomposition of larger and more complex signaling networks, permitting further investigations into the dependence of biological noise on signaling system architecture. Twit Text FOAVip Noise decomposition of intracellular biochemical signaling networks using nonequivalent reporters ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=25404303 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25404303 #FOAvip English Wikipedia <ref>{{Cite pmid|25404303}}</ref> Noise decomposition of intracellular biochemical signaling networks using nonequivalent reporters #MMPMID25404303 Rhee A; Cheong R; Levchenko A Proc Natl Acad Sci U S A 2014[Dec]; 111 (48): 17330-5 PMID25404303show ga In response to a uniform stimulus, biochemical networks display a high degree of variability when assayed across many individual cells. However, due to their complexity, the relative contributions of different pathways to the overall network variability are hard to evaluate and control. Here we introduce a technique allowing for ?noise mapping? to be performed within such networks. By experimentally assaying three distinct tumor necrosis factor (TNF) activated transcription factors within a mathematical framework, we show how noise is distributed in the TNF-induced network, in the presence or absence of feedback. This framework is readily scalable to allow the noise decomposition of larger and more complex signaling networks, permitting further investigations into the dependence of biological noise on signaling system architecture. äNoise decomposition of intracellular biochemical signaling networks us(epmc).pdf DeepDyve Pubget Overpricing