Abstract
In this chapter of the book, a dynamical model of the gene regulatory networks (GRNs) under positive feedback is analyzed. The model considered involve static nonlinearities with negative Schwarzian derivatives, and a time delay in the feedback path. A set of conditions are derived for the global stability of the class of GRNs considered. As a special case, homogenous GRNs are also analyzed and an appropriate stability condition is obtained; that depends only on the parameters of the nonlinearity function, which is assumed to be a Hill type function. In particular, conditions leading to bistability of the system are obtained. The results presented here naturally extend to similar classes of cyclic biological processes involving time delayed feedback.
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Ahsen, M.E.: Analysis of two types of cyclic biological system models with time delays. MS Thesis, Graduate School of Engineering and Sciences. Bilkent University, Ankara, Turkey (July 2011)
Ahsen, M.E., Özbay, H., Niculescu, S.-I.: Stability analysis of a dynamical model representing gene regulatory networks. In: Proc. of the 10th IFAC Workshop on Time Delay Systems, Boston, USA, pp. 191–196 (June 2012)
Ahsen, M.E., Ă–zbay, H., Niculescu, S.-I.: On the analysis of a dynamical model representing gene regulatory networks under negative feedback. Int. J. Robust and Nonlinear Control (2013), doi:10.1002/rnc.2947
Alon, U.: An introduction to systems biology: design principles of biological circuits. Chapman Hall//CRC (2007)
Angeli, D., Sontag, E.D.: Multistability in monotone input/output systems. Systems Control Letters 51, 185–202 (2004)
Chen, L., Aihara, K.: Stability of genetic regulatory networks with time delay. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 49(5), 602–608 (2002)
Elowitz, M.B., Leibler, S.: A synthetic oscillatory network of transcriptional regulators. Nature, 335–338 (2000)
Enciso, G.A.: On the asymptotic behaviour of a cylic biochemical system with delay. In: Proceedings of the 45th IEEE Conference on Decision and Control, pp. 2388–2393 (2006)
Gardner, T.S., Cantor, C.R., Collins, J.J.: Construction of a genetic toggle switch in Escherichia coli. Nature 403(6767), 339–342 (2000)
Goldbeter, A.: Biochemical Oscillations and Cellular Rythms. The Molecular Basis of Periodic and Chaotic Behavior. Cambridge University Press (1996)
Levine, M., Davidson, E.H.: Gene regulatory networks for development. Proceedings of the National Academy of Sciences 102(14), 4936–4942 (2005)
Liz, E., Pinto, M., Robledo, G., Trofimchuk, S., Tkachenko, V.: Wright type delay differential equations with negative Schwarzian. Discrete and Continuous Dynamical Systems 9(2), 309–321 (2003)
Morarescu, C.I., Niculescu, S.-I.: Some remarks on the delay effects on the stability of biochemical networks. In: 16th Mediterranean Conference on Control and Automation, pp. 801–805 (2008)
Müller, S., Hofbauer, J., Endler, L., Flamm, C., Widder, S., Schuster, P.: A generalized model of the repressilator. Journal of Mathematical Biology 53, 905–937 (2006)
Purnick, P.E.M., Weiss, R.: The second wave of synthetic biology: from modules to systems. Nature Reviews Molecular Cell Biology 10(6) (2009)
Scheper, T.O., Klinkenberg, D., Pennartz, C., van Pelt, J.: A mathematical model for the intracellular circadian rhythm generator. The Journal of Neuroscience 19, 40–47 (1999)
Sedeghat, H.: Nonlinear Difference Equations. Kluwer Academic Publishers (2003)
Smith, H.: Monotone Dynamical Systems: An introduction to the theory of competitive and cooperative systems. American Mathematical Society (2008)
Smolen, P., Baxter, D.A., Byrne, J.H.: Modeling transcriptional control in gene networks – Methods, recent results and future directions. Bull. Math. Biol. 62, 247–292 (2000a)
Smolen, P., Baxter, D.A., Byrne, J.H.: Mathematical modeling of gene networks. Neuron 26, 567–580 (2000b)
Sontag, E.D.: Asymptotic amplitudes and Cauchy gains: a small-gain principle and an application to inhibitory biological feedback. Systems Control Letters 47, 167–179 (2002)
Tozeren, A., Byers, S.W.: New biology for engineers and computer scientists. Prentice Hall (2003)
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Ahsen, M.E., Ă–zbay, H., Niculescu, SI. (2014). Analysis of Gene Regulatory Networks under Positive Feedback. In: VyhlĂdal, T., Lafay, JF., Sipahi, R. (eds) Delay Systems. Advances in Delays and Dynamics, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-01695-5_10
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DOI: https://doi.org/10.1007/978-3-319-01695-5_10
Publisher Name: Springer, Cham
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