Type of noise defines global attractors in bistable molecular regulatory systems.
Type of noise defines global attractors in bistable molecular regulatory systems.
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DOI:
10.1016/j.jtbi.2012.10.004
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发表时间:
2013-01-21
影响因子:
2
通讯作者:
Lipniacki, Tomasz
中科院分区:
文献类型:
--
作者:
Jaruszewicz, Joanna;Zuk, Pawel J.;Lipniacki, Tomasz
The aim of this study is to demonstrate that in molecular dynamical systems with the underlying bi- or multistability, the type of noise determines the most strongly attracting steady state or stochastic attractor. As an example we consider a simple stochastic model of autoregulatory gene with a nonlinear positive feedback, which in the deterministic approximation has two stable steady state solutions. Three types of noise are considered: transcriptional and translational – due to the small number of gene product molecules and the gene switching noise – due to gene activation and inactivation transitions. We demonstrate that the type of noise in addition to the noise magnitude dictates the allocation of probability mass between the two stable steady states. In particular, we found that when the gene switching noise dominates over the transcriptional and translational noise (which is characteristic of eukaryotes), the gene preferentially activates, while in the opposite case, when the transcriptional noise dominates (which is characteristic of prokaryotes) the gene preferentially remains inactive. Moreover, even in the zero-noise limit, when the probability mass generically concentrates in the vicinity of one of two steady states, the choice of the most strongly attracting steady state is noise type-dependent. Although the epigenetic attractors are defined with the aid of the deterministic approximation of the stochastic regulatory process, their relative attractivity is controlled by the type of noise, in addition to noise magnitude. Since noise characteristics vary during the cell cycle and development, such mode of regulation can be potentially employed by cells to switch between alternative epigenetic attractors.
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影响因子:
3.7
作者:
Cohen AA;Kalisky T;Mayo A;Geva-Zatorsky N;Danon T;Issaeva I;Kopito RB;Perzov N;Milo R;Sigal A;Alon U
通讯作者:
Alon U
影响因子:
30.8
作者:
Becskei, A;Kaufmann, BB;van Oudenaarden, A
通讯作者:
van Oudenaarden, A
DOI:
10.1073/pnas.040411297
发表时间:
2000-02-29
影响因子:
11.1
作者:
Hasty, J;Pradines, J;Collins, JJ
通讯作者:
Collins, JJ
影响因子:
3.7
作者:
Frigola D;Casanellas L;Sancho JM;Ibañes M
通讯作者:
Ibañes M
DOI:
10.1016/j.jmaa.2006.11.043
发表时间:
2007-09-15
影响因子:
1.3
作者:
Bobrowski, Adam;Lipniacki, Tomasz;Rudnicki, Ryszard
通讯作者:
Rudnicki, Ryszard