Stochastic phenotype transition of a single cell in an intermediate region of gene-state switching

Abstract

Multiple phenotypic states often arise in a single cell with different gene-expression states that undergo transcription regulation with positive feedback. Recent experiments have shown that at least in E. coli, the gene state switching can be neither extremely slow nor exceedingly rapid as many previous theoretical treatments assumed. Rather it is in the intermediate region which is difficult to handle mathematically.Under this condition, from a full chemical-master-equation description we derive a model in which the protein copy-number, for a given gene state, follow a deterministic mean-field description while the protein synthesis rates fluctuate due to stochastic gene-state switching. The simplified kinetics yields a nonequilibrium landscape function, which, similar to the energy function for equilibrium fluctuation, provides the leading orders of fluctuations around each phenotypic state, as well as the transition rates between the two phenotypic states. This rate formula is analogous to Kramers theory for chemical reactions. The resulting behaviors are significantly different from the two limiting cases studied previously.

6 pages,4 figures

References in corpus (3)

• Exponential sensitivity of noise-driven switching in genetic networks
• What makes the lac-pathway switch: identifying the fluctuations that trigger phenotype switching in gene regulatory systems
• Testing the transition state theory in stochastic dynamics of a genetic switch

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