Transcriptional bursting diversifies the behaviour of a toggle switch: hybrid simulation of stochastic gene expression.
Hybrid models for gene expression combine stochastic and deterministic representations of the underlying biophysical mechanisms. According to one of the simplest hybrid formalisms, protein molecules are produced in randomly occurring bursts of a randomly distributed size while they are degraded deterministically. Here, we use this particular formalism to study two key regulatory motifs-the autoregulation loop and the toggle switch. The distribution of burst times is determined and used as a basis for the development of exact simulation algorithms for gene expression dynamics. For the autoregulation loop, the simulations are compared to an analytic solution of a master equation. Simulations of the toggle switch reveal a number of qualitatively distinct scenarios with implications for the modelling of cell-fate selection.
Department of Applied Mathematics and Statistics, Comenius University, Mlynská dolina, Bratislava 842 48, Slovakia. pavol.bokes@fmph.uniba.sk
Pavol
P
Bokes
John R
JR
King
Andrew T A
AT
Wood
Matthew
M
Loose
D000465:Algorithms; D003198:Computer Simulation; D005786:Gene Expression Regulation; D008957:Models, Genetic; D013269:Stochastic Processes; D014158:Transcription, Genetic