Literature DB >> 35610419

Mathematical Modeling in Circadian Rhythmicity.

Marta Del Olmo1, Saskia Grabe2, Hanspeter Herzel2.   

Abstract

Circadian clocks are autonomous systems able to oscillate in a self-sustained manner in the absence of external cues, although such Zeitgebers are typically present. At the cellular level, the molecular clockwork consists of a complex network of interlocked feedback loops. This chapter discusses self-sustained circadian oscillators in the context of nonlinear dynamics theory. We suggest basic steps that can help in constructing a mathematical model and introduce how self-sustained generations can be modeled using ordinary differential equations. Moreover, we discuss how coupled oscillators synchronize among themselves or entrain to periodic signals. The development of mathematical models over the last years has helped to understand such complex network systems and to highlight the basic building blocks in which oscillating systems are built upon. We argue that, through theoretical predictions, the use of simple models can guide experimental research and is thus suitable to model biological systems qualitatively.
© 2022. The Author(s).

Entities:  

Keywords:  Bifurcations; Clocks; Coupled oscillators; Entrainment; Feedback loops; Limit cycles; Modeling; Nonlinearities; Ordinary differential equations; Oscillations; Synchronization

Mesh:

Year:  2022        PMID: 35610419     DOI: 10.1007/978-1-0716-2249-0_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  57 in total

1.  A synthetic oscillatory network of transcriptional regulators.

Authors:  M B Elowitz; S Leibler
Journal:  Nature       Date:  2000-01-20       Impact factor: 49.962

2.  A detailed predictive model of the mammalian circadian clock.

Authors:  Daniel B Forger; Charles S Peskin
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-01       Impact factor: 11.205

3.  Spontaneous synchronization of coupled circadian oscillators.

Authors:  Didier Gonze; Samuel Bernard; Christian Waltermann; Achim Kramer; Hanspeter Herzel
Journal:  Biophys J       Date:  2005-04-22       Impact factor: 4.033

4.  Tuning the phase of circadian entrainment.

Authors:  Grigory Bordyugov; Ute Abraham; Adrian Granada; Pia Rose; Katharina Imkeller; Achim Kramer; Hanspeter Herzel
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

5.  Measuring Relative Coupling Strength in Circadian Systems.

Authors:  Christoph Schmal; Erik D Herzog; Hanspeter Herzel
Journal:  J Biol Rhythms       Date:  2017-12-08       Impact factor: 3.182

6.  Toward a detailed computational model for the mammalian circadian clock.

Authors:  Jean-Christophe Leloup; Albert Goldbeter
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-29       Impact factor: 11.205

7.  Modeling feedback loops of the Mammalian circadian oscillator.

Authors:  Sabine Becker-Weimann; Jana Wolf; Hanspeter Herzel; Achim Kramer
Journal:  Biophys J       Date:  2004-09-03       Impact factor: 4.033

8.  Human chronotypes from a theoretical perspective.

Authors:  Adrián E Granada; Grigory Bordyugov; Achim Kramer; Hanspeter Herzel
Journal:  PLoS One       Date:  2013-03-27       Impact factor: 3.240

9.  Coupling governs entrainment range of circadian clocks.

Authors:  Ute Abraham; Adrián E Granada; Pål O Westermark; Markus Heine; Achim Kramer; Hanspeter Herzel
Journal:  Mol Syst Biol       Date:  2010-11-30       Impact factor: 11.429

10.  Positive feedback promotes oscillations in negative feedback loops.

Authors:  Bharath Ananthasubramaniam; Hanspeter Herzel
Journal:  PLoS One       Date:  2014-08-15       Impact factor: 3.240

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