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Complex and Surprising Dynamics in Gene Regulatory Networks

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Quantitative Physiology

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Abstract

Interacting genetic networks are governed by mechanisms describing nonlinear dynamics of such elements. As a result, several surprising effects can appear. Here we show how clustering and oscillation death can appear in a system of coupled repressilators, how cellular decision making can depend on speed in noisy genetic networks, and how one can implement genetic intelligence.

The human genome is a script, waiting for the amino actors, the protein players to strut and fret their hour. —Johnny Rich

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Notes

  1. 1.

    Reprinted whole article with permission.

  2. 2.

    Reprinted whole article with permission from [105].

  3. 3.

    Reprinted whole article with permission from [11]. Copyright 2014 by the American Physical Society.

  4. 4.

    Reprinted whole article with permission from [12].

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Authors and Affiliations

  1. School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Hubei, China

    Shangbin Chen

  2. Department of Mathematics and Institute for Women’s Health, University College London, London, UK

    Alexey Zaikin

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Chen, S., Zaikin, A. (2020). Complex and Surprising Dynamics in Gene Regulatory Networks. In: Quantitative Physiology. Springer, Singapore. https://doi.org/10.1007/978-981-33-4033-6_12

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