title: Isolating intrinsic noise sources in a stochastic genetic switch.
abstract: The stochastic mutual repressor model is analysed using perturbation methods. This simple model of a gene circuit consists of two genes and three promotor states. Either of the two protein products can dimerize, forming a repressor molecule that binds to the promotor of the other gene. When the repressor is bound to a promotor, the corresponding gene is not transcribed and no protein is produced. Either one of the promotors can be repressed at any given time or both can be unrepressed, leaving three possible promotor states. This model is analysed in its bistable regime in which the deterministic limit exhibits two stable fixed points and an unstable saddle, and the case of small noise is considered. On small timescales, the stochastic process fluctuates near one of the stable fixed points, and on large timescales, a metastable transition can occur, where fluctuations drive the system past the unstable saddle to the other stable fixed point. To explore how different intrinsic noise sources affect these transitions, fluctuations in protein production and degradation are eliminated, leaving fluctuations in the promotor state as the only source of noise in the system. The process without protein noise is then compared to the process with weak protein noise using perturbation methods and Monte Carlo simulations. It is found that some significant differences in the random process emerge when the intrinsic noise source is removed.
authors.affiliation: Mathematical Institute, University of Oxford, 24-29 St. Giles', Oxford OX1 3LB, UK. newby@maths.ox.ac.uk
authors.forename: Jay M
authors.initials: JM
authors.lastname: Newby
mesh_terms: D001419:Bacteria / Q000235:genetics; D003198:Computer Simulation; D053263:Gene Regulatory Networks; D008390:Markov Chains; D008957:Models, Genetic; D009010:Monte Carlo Method; D011401:Promoter Regions, Genetic; D012097:Repressor Proteins / Q000378:metabolism
chemical_list: D012097:Repressor Proteins