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• W3040108051 abstract "Abstract Gene transcription is a stochastic process with random switching between gene off and on states. In this paper, we established a cycle of gene inactivation consisting of two off states. External signals trigger the random transition from the “ground off” (I1) state to the “excited off” (I2) state, which in turn either jumps forward to the on state or recycles back to I1 state. By integrating inactivation cycle with mRNA birth and death processes, we focus on how the recycling efficiency λ21 from I2 to I1 influences dynamical mRNA mean m(t) and the stationary noise strength Φ*. We first reveal a bidirectional regulation of λ21 on m(t): Increase of λ21 can either induce the monotonic dynamics of m(t) to the non-monotonic behavior or suppress non-monotonic dynamics to monotonicity for m(t). For Φ*, we observe two regulation scenarios that the increase of λ21 can significantly up-regulate Φ* and weaken the non-monotonic dependence of Φ* on the other parameter rates. The robustness of these results is further tested against experimental data in E.coli, yeast and mammalian cells. Taken together, we show that the cycle of gene inactivation can provide a more comprehensive mechanism on gene regulation." @default.
• W3040108051 created "2020-07-10" @default.
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• W3040108051 date "2020-12-01" @default.
• W3040108051 modified "2023-10-16" @default.
• W3040108051 title "Nonlinear dynamics and noise actuated by the cycle of gene inactivation in stochastic transcription" @default.
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• W3040108051 doi "https://doi.org/10.1016/j.cnsns.2020.105398" @default.
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