Literature DB >> 18851062

Multistability of synthetic genetic networks with repressive cell-to-cell communication.

Ekkehard Ullner1, Aneta Koseska, Jürgen Kurths, Evgenii Volkov, Holger Kantz, Jordi García-Ojalvo.   

Abstract

We investigate an experimentally feasible synthetic genetic network consisting of two phase repulsively coupled repressilators, which evokes multiple coexisting stable attractors with different features. We perform a bifurcation analysis to determine and classify the dynamical structure of the system. Moreover, some of the dynamical regimes found, such as inhomogeneous steady states and inhomogeneous limit cycles can further be associated with artificial cell differentiation. We also report and characterize the emergence of chaotic dynamics resulting from the intercell coupling.

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Year:  2008        PMID: 18851062     DOI: 10.1103/PhysRevE.78.031904

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  7 in total

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Journal:  J Math Biol       Date:  2013-07-10       Impact factor: 2.259

Review 2.  Cell signaling as a cognitive process.

Authors:  Aneta Koseska; Philippe Ih Bastiaens
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3.  An electronic analog of synthetic genetic networks.

Authors:  Edward H Hellen; Evgenii Volkov; Jurgen Kurths; Syamal Kumar Dana
Journal:  PLoS One       Date:  2011-08-04       Impact factor: 3.240

4.  An integrative quantifier of multistability in complex systems based on ecological resilience.

Authors:  Chiranjit Mitra; Jürgen Kurths; Reik V Donner
Journal:  Sci Rep       Date:  2015-11-05       Impact factor: 4.379

5.  A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks.

Authors:  Inés P Mariño; Alexey Zaikin; Joaquín Míguez
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

6.  Integrated Information as a Measure of Cognitive Processes in Coupled Genetic Repressilators.

Authors:  Luis Abrego; Alexey Zaikin
Journal:  Entropy (Basel)       Date:  2019-04-10       Impact factor: 2.524

7.  Parameter estimation methods for chaotic intercellular networks.

Authors:  Inés P Mariño; Ekkehard Ullner; Alexey Zaikin
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

  7 in total

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