2006
DOI: 10.1371/journal.pcbi.0020030
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Dynamical Principles of Two-Component Genetic Oscillators

Abstract: Genetic oscillators based on the interaction of a small set of molecular components have been shown to be involved in the regulation of the cell cycle, the circadian rhythms, or the response of several signaling pathways. Uncovering the functional properties of such oscillators then becomes important for the understanding of these cellular processes and for the characterization of fundamental properties of more complex clocks. Here, we show how the dynamics of a minimal two-component oscillator is drastically … Show more

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Cited by 107 publications
(131 citation statements)
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“…Each simulation run generates a collection of interspike times from which the mean ͳTʹ and the variance ͳ(ͳTʹ Ϫ T) 2 ʹ 1/2 can be calculated. Following Steuer et al (13), the quality of the noise-induced oscillations is measured by using the noise-to-signal ratio T ϭ ͳ(ͳTʹ Ϫ T) 2 ʹ 1/2 /ͳTʹ, and the system is said to exhibit regular oscillations where T is small (13,38). The dependence of T on the repressor degradation rate is shown in Fig.…”
Section: [6]mentioning
confidence: 99%
“…Each simulation run generates a collection of interspike times from which the mean ͳTʹ and the variance ͳ(ͳTʹ Ϫ T) 2 ʹ 1/2 can be calculated. Following Steuer et al (13), the quality of the noise-induced oscillations is measured by using the noise-to-signal ratio T ϭ ͳ(ͳTʹ Ϫ T) 2 ʹ 1/2 /ͳTʹ, and the system is said to exhibit regular oscillations where T is small (13,38). The dependence of T on the repressor degradation rate is shown in Fig.…”
Section: [6]mentioning
confidence: 99%
“…In this way, we have a self-activating bistable unit which is coupled to a negative feedback loop. The simplest, idealized implementation of this unit has been analyzed on a deterministic level, with protein concentrations as the only dynamical variables, and it is known to produce oscillations in a certain range of model parameters [8,9]. In particular, the model studied in Ref.…”
Section: The Modelmentioning
confidence: 99%
“…Since we are interested in the fate of the regular oscillations in case of slow and ultra-slow genes, it is important not to need a finetuning for seeing oscillations for fast genes. Furthermore, we would like to compare our equations (28,29) with the deterministic equations as they were derived for "design I" in [9]. In common with those equations of [9] is the limit of fast genes and the realization of the repression operating on the transcriptional level.…”
Section: Fast Genesmentioning
confidence: 99%
“…Furthermore, we would like to compare our equations (28,29) with the deterministic equations as they were derived for "design I" in [9]. In common with those equations of [9] is the limit of fast genes and the realization of the repression operating on the transcriptional level. The main differences between both sets of equations are firstly the power one of Φ A in Eq.…”
Section: Fast Genesmentioning
confidence: 99%
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