PLoS ONE · 2012 · 67 citations · 32 references
Life SciencesBiologyGeneticsCell SignalingComputational BiologySignal TransductionCell Signaling NetworksSignal Transduction ModelingStochastic Differential EquationsStochastic Processes In BiophysicsStochastic Systems ModelingBistability In Genetic NetworksBistable MechanismsLangevin EquationsLangevin ModelsMaster EquationsMultiple Steady StatesNoise-induced SwitchingStochastic Biological Modeling
Low-copy-number molecules are involved in many functions in cells. The intrinsic fluctuations of these numbers can enable stochastic switching between multiple steady states, inducing phenotypic variability. Herein we present a theoretical and computational study based on Master Equations and Fokker-Planck and Langevin descriptions of stochastic switching for a genetic circuit of autoactivation. We show that in this circuit the intrinsic fluctuations arising from low-copy numbers, which are inherently state-dependent, drive asymmetric switching. These theoretical results are consistent with experimental data that have been reported for the bistable system of the gallactose signaling network in yeast. Our study unravels that intrinsic fluctuations, while not required to describe bistability, are fundamental to understand stochastic switching and the dynamical relative stability of multiple states.
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