Literature DB >> 22306976

Transcription-based oscillator model for light-induced splitting as antiphase circadian gene expression in the suprachiasmatic nuclei.

Sondra Schroder1, Erik D Herzog, István Z Kiss.   

Abstract

Daily locomotor patterns of a variety of organisms have been interpreted as driven by dual circadian oscillators. Yet, in mammals, cellular data have revealed many circadian oscillators in the bilateral suprachiasmatic nucleus (SCN). To test how large numbers of oscillators could respond to environmental cues as a pair of oscillators, the authors developed a computational model composed of 2 groups of oscillators with strong local interactions and with weaker coupling between the 2 groups. Unlike previous models that assumed that light affects the timing or polarity of coupling between a pair of oscillators, this simulation assumed that light increased the transcription rate of a clock gene and consequently altered circadian properties of individual cells. In constant dark, weak local (within each of the 2 groups) and distant (between group) coupling established in-phase oscillations and a typical single bout of daily activity. In constant light, local synchrony developed only if coupling was strong and resulted in antiphase synchrony between the 2 groups and bimodal daily activity reminiscent of split behavior. These numerical simulations thus showed that splitting behavior can develop with increased light intensity without structural changes in the coupling topology or sign. Instead, the authors propose that light changes intrinsic oscillator properties through the increase of maximal transcription rate of a clock gene, so that as light intensity increases, the output of the coupled network transitions from a single bout of activity through irregular beating to 2 bouts and, in bright constant light, arrhythmicity.

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Year:  2012        PMID: 22306976     DOI: 10.1177/0748730411429659

Source DB:  PubMed          Journal:  J Biol Rhythms        ISSN: 0748-7304            Impact factor:   3.182


  8 in total

1.  Functional network inference of the suprachiasmatic nucleus.

Authors:  John H Abel; Kirsten Meeker; Daniel Granados-Fuentes; Peter C St John; Thomas J Wang; Benjamin B Bales; Francis J Doyle; Erik D Herzog; Linda R Petzold
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-04       Impact factor: 11.205

2.  Emergent hypernetworks in weakly coupled oscillators.

Authors:  Eddie Nijholt; Jorge Luis Ocampo-Espindola; Deniz Eroglu; István Z Kiss; Tiago Pereira
Journal:  Nat Commun       Date:  2022-08-17       Impact factor: 17.694

3.  Integrative gene regulatory network analysis reveals light-induced regional gene expression phase shift programs in the mouse suprachiasmatic nucleus.

Authors:  Haisun Zhu; Rajanikanth Vadigepalli; Rachel Rafferty; Gregory E Gonye; David R Weaver; James S Schwaber
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

4.  Evidence for Weakened Intercellular Coupling in the Mammalian Circadian Clock under Long Photoperiod.

Authors:  M Renate Buijink; Assaf Almog; Charlotte B Wit; Ori Roethler; Anneke H O Olde Engberink; Johanna H Meijer; Diego Garlaschelli; Jos H T Rohling; Stephan Michel
Journal:  PLoS One       Date:  2016-12-22       Impact factor: 3.240

5.  Hypothesis driven single cell dual oscillator mathematical model of circadian rhythms.

Authors:  Shiju S; K Sriram
Journal:  PLoS One       Date:  2017-05-09       Impact factor: 3.240

6.  Weakly circadian cells improve resynchrony.

Authors:  Alexis B Webb; Stephanie R Taylor; Kurt A Thoroughman; Francis J Doyle; Erik D Herzog
Journal:  PLoS Comput Biol       Date:  2012-11-29       Impact factor: 4.475

7.  Two-Community Noisy Kuramoto Model Suggests Mechanism for Splitting in the Suprachiasmatic Nucleus.

Authors:  Jos H T Rohling; Janusz M Meylahn
Journal:  J Biol Rhythms       Date:  2020-01-23       Impact factor: 3.182

8.  Hilbert transform-based time-series analysis of the circadian gene regulatory network.

Authors:  Shiju S; K Sriram
Journal:  IET Syst Biol       Date:  2019-08       Impact factor: 1.615

  8 in total

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