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- W2899732012 abstract "The ability of a cell population to maintain simultaneously multiple phenotypic states is crucial for cell fitness. It is well known that the presence of a positive feedback is sufficient to generate multistability. However, many transcription networks contain counteracting positive and negative feedbacks, which indicates that this multiloop design provides additional advantages. Through an experimental and computational study in an interlinked positive and negative feedback motif in which each feedback strength is modulate independently, we explore the dynamic properties of this interlinked network. Our results show that the transition rates between different phenotypic states are not modulated by the positive, but only by the negative feedback strength. These results indicate that the negative feedback strength determines the phenotypic behavior of the cell populations, modulating the range and stability of different multistable states. By measuring noise levels in mRNA expression we show that this differential behavior is possible because noise levels are modulated independently by each feedback motif inside this genetic network. This suggests that in this coupled design, the strength of the negative feedback loop may be tuned to allow a population to enhance its fitness by changing the rate of stochastic transitions between different states, thus ensuring that cells may be prepared to confront a given level of environmental fluctuations." @default.
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- W2899732012 date "2010-01-01" @default.
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- W2899732012 title "Tuning the Range and Stability of Multiple Phenotypic States with Coupled Positive-Negative Feedback Loops" @default.
- W2899732012 doi "https://doi.org/10.1016/j.bpj.2009.12.2330" @default.
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