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- W2149884465 abstract "Mol Syst Biol. 2: 2006.0025Networks of interacting genes are central to a cell's ability to sense and process information. Such networks are seldom comprised of simple linear cascades; feedback loops are ubiquitous and are implicated in processes such as cellular differentiation, circadian rhythm, and cell cycle control. Noise, or stochastic fluctuation in network components and the cellular environment, is an inherent feature of biochemical networks (Kaern et al , 2005). More importantly, fluctuations in a single molecular species can be transmitted via the network to affect multiple components. Given the abundance of feedback loops in such networks, it is not surprising that they can play important roles in noise processing. For instance, negative feedback loops can dampen fluctuations (Becskei and Serrano, 2000; Paulsson, 2004), whereas positive feedback loops can act as noise amplifiers that drive spontaneous state transitions (Figure 1A ). In an exciting paper by Suel et al (2006), two feedback loops coupled with noisy components in the competence induction network of Bacillus subtilis were shown to be responsible for its transient differentiation into the competent state.Figure 1. ( A ) Phase diagram illustrating how noise coupled with positive feedback can lead to spontaneous state transitions. The black dots denote stable fixed points and the blue arrows indicate the direction of flow when X is perturbed away from the fixed points. The red wiggling arrow denotes possible fluctuations away from one of the stable fixed points. Note that any fluctuation that goes past the unstable …" @default.
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- W2149884465 date "2006-01-01" @default.
- W2149884465 modified "2023-10-17" @default.
- W2149884465 title "Exciting fluctuations: monitoring competence induction dynamics at the single‐cell level" @default.
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- W2149884465 doi "https://doi.org/10.1038/msb4100064" @default.
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