2011
DOI: 10.1063/1.3574387
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Transient dynamics around unstable periodic orbits in the generalized repressilator model

Abstract: We study the temporal dynamics of the generalized repressilator, a network of coupled repressing genes arranged in a directed ring topology, and give analytical conditions for the emergence of a finite sequence of unstable periodic orbits that lead to reachable long-lived oscillating transients. Such transients dominate the finite time horizon dynamics that is relevant in confined, noisy environments such as bacterial cells (see our previous work [Strelkowa and Barahona, J. R. Soc. Interface 7, 1071 (2010)]), … Show more

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Cited by 27 publications
(22 citation statements)
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“…Long transient times were also reported in a model for inhibitory ring GRNs that does not incorporate time delays, but instead includes an intermediate step in gene expression, which gives an effective delay time [68].…”
Section: Mathematical Model Of the Repressilator With Delaymentioning
confidence: 99%
“…Long transient times were also reported in a model for inhibitory ring GRNs that does not incorporate time delays, but instead includes an intermediate step in gene expression, which gives an effective delay time [68].…”
Section: Mathematical Model Of the Repressilator With Delaymentioning
confidence: 99%
“…The oscillations and their quality are simultaneously affected by changes in the parameter set (c i ) and the system size Ω. A reasonable experimental strategy to sweep the bifurcation parameter c 1 studied in our earlier work [10] is to change the gene copy number, d 0 , since they are linearly related. The gene copy number d 0 can be manipulated experimentally and used as a "biological knob" to induce oscillations in synthetic repressilators implemented in living bacterial populations.…”
Section: The Dependence Of the Reaction Rates On The System Size ωmentioning
confidence: 99%
“…where J is the drift matrix equal to the deterministic Jacobian (see [10]) and σ is the diffusion matrix. The stationary stochastic power spectrum of this linear SDE is calculated with the well-known formula for multi-variable linear SDEs ( [18], Chap.…”
Section: Linear Noise Approximation Close To the Hopf Bifurcationmentioning
confidence: 99%
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