Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26590554
&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\26590554
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 J+Chem+Phys
2015 ; 143
(19
): 195101
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Dichotomous noise models of gene switches
#MMPMID26590554
Potoyan DA
; Wolynes PG
J Chem Phys
2015[Nov]; 143
(19
): 195101
PMID26590554
show ga
Molecular noise in gene regulatory networks has two intrinsic components, one
part being due to fluctuations caused by the birth and death of protein or mRNA
molecules which are often present in small numbers and the other part arising
from gene state switching, a single molecule event. Stochastic dynamics of gene
regulatory circuits appears to be largely responsible for bifurcations into a set
of multi-attractor states that encode different cell phenotypes. The interplay of
dichotomous single molecule gene noise with the nonlinear architecture of genetic
networks generates rich and complex phenomena. In this paper, we elaborate on an
approximate framework that leads to simple hybrid multi-scale schemes well suited
for the quantitative exploration of the steady state properties of large-scale
cellular genetic circuits. Through a path sum based analysis of trajectory
statistics, we elucidate the connection of these hybrid schemes to the underlying
master equation and provide a rigorous justification for using dichotomous noise
based models to study genetic networks. Numerical simulations of circuit models
reveal that the contribution of the genetic noise of single molecule origin to
the total noise is significant for a wide range of kinetic regimes.
free
free
free
