Literature DB >> 18585740

Genetic oscillation deduced from Hopf bifurcation in a genetic regulatory network with delays.

Min Xiao1, Jinde Cao.   

Abstract

To understand how a gene regulatory network functioning as an oscillator is built, a genetic regulatory network with two transcriptional delays is investigated. We show by mathematical analysis and simulation that autorepression of mRNA and protein can provide a mechanism for the intracellular oscillator. Based on the linear stability approach and bifurcation theory, sufficient conditions for the oscillation of the genetic networks are derived, and critical values of Hopf bifurcation are assessed. In particular, the genetic network can exhibit Hopf bifurcation(oscillation appears) as the sum of delays or transcriptional rate passes through some critical values. Moreover, the robustness of amplitudes against change in delay can also be obtained from the delayed genetic network; period of oscillation increases with the total time delay in an almost linear way. While it is exactly opposite for transcriptional rate, the amplitude of oscillations always increases as the transcriptional rate increases; the robustness of period against change in the transcriptional rate occurs. Some simple genetic regulatory networks are used to study the impact of delays and transcriptional rate on the system dynamics where there are delays.

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Year:  2008        PMID: 18585740     DOI: 10.1016/j.mbs.2008.05.004

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  6 in total

1.  PCA based population generation for genetic network optimization.

Authors:  Ahammed Sherief Kizhakkethil Youseph; Madhu Chetty; Gour Karmakar
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2.  Feedback, Mass Conservation and Reaction Kinetics Impact the Robustness of Cellular Oscillations.

Authors:  Katharina Baum; Antonio Z Politi; Bente Kofahl; Ralf Steuer; Jana Wolf
Journal:  PLoS Comput Biol       Date:  2016-12-27       Impact factor: 4.475

3.  Steady-State-Preserving Simulation of Genetic Regulatory Systems.

Authors:  Ruqiang Zhang; Julius Osato Ehigie; Xilin Hou; Xiong You; Chunlu Yuan
Journal:  Comput Math Methods Med       Date:  2017-01-19       Impact factor: 2.238

4.  Approximation of state variables for discrete-time stochastic genetic regulatory networks with leakage, distributed, and probabilistic measurement delays: a robust stability problem.

Authors:  S Pandiselvi; R Raja; Jinde Cao; G Rajchakit; Bashir Ahmad
Journal:  Adv Differ Equ       Date:  2018-04-03

Review 5.  Time-Delayed Models of Gene Regulatory Networks.

Authors:  K Parmar; K B Blyuss; Y N Kyrychko; S J Hogan
Journal:  Comput Math Methods Med       Date:  2015-10-20       Impact factor: 2.238

6.  Splitting strategy for simulating genetic regulatory networks.

Authors:  Xiong You; Xueping Liu; Ibrahim Hussein Musa
Journal:  Comput Math Methods Med       Date:  2014-02-02       Impact factor: 2.238

  6 in total

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