Literature DB >> 19593456

Sensitivity Measures for Oscillating Systems: Application to Mammalian Circadian Gene Network.

Stephanie R Taylor1, Rudiyanto Gunawan, Linda R Petzold, Francis J Doyle.   

Abstract

Vital physiological behaviors exhibited daily by bacteria, plants, and animals are governed by endogenous oscillators called circadian clocks. The most salient feature of the circadian clock is its ability to change its internal time (phase) to match that of the external environment. The circadian clock, like many oscillators in nature, is regulated at the cellular level by a complex network of interacting components. As a complementary approach to traditional biological investigation, we utilize mathematical models and systems theoretic tools to elucidate these mechanisms. The models are systems of ordinary differential equations exhibiting stable limit cycle behavior. To study the robustness of circadian phase behavior, we use sensitivity analysis. As the standard set of sensitivity tools are not suitable for the study of phase behavior, we introduce a novel tool, the parametric impulse phase response curve (pIPRC).

Entities:  

Year:  2008        PMID: 19593456      PMCID: PMC2707818          DOI: 10.1109/TAC.2007.911364

Source DB:  PubMed          Journal:  IEEE Trans Automat Contr        ISSN: 0018-9286            Impact factor:   5.792


  29 in total

1.  Robustness as a measure of plausibility in models of biochemical networks.

Authors:  Mineo Morohashi; Amanda E Winn; Mark T Borisuk; Hamid Bolouri; John Doyle; Hiroaki Kitano
Journal:  J Theor Biol       Date:  2002-05-07       Impact factor: 2.691

Review 2.  Coordination of circadian timing in mammals.

Authors:  Steven M Reppert; David R Weaver
Journal:  Nature       Date:  2002-08-29       Impact factor: 49.962

3.  Robustness properties of circadian clock architectures.

Authors:  Jörg Stelling; Ernst Dieter Gilles; Francis J Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-30       Impact factor: 11.205

4.  On the phase reduction and response dynamics of neural oscillator populations.

Authors:  Eric Brown; Jeff Moehlis; Philip Holmes
Journal:  Neural Comput       Date:  2004-04       Impact factor: 2.026

5.  Entrainment in a model of the mammalian circadian oscillator.

Authors:  Florian Geier; Sabine Becker-Weimann; Achim Kramer; Hanspeter Herzel
Journal:  J Biol Rhythms       Date:  2005-02       Impact factor: 3.182

6.  Isochron-based phase response analysis of circadian rhythms.

Authors:  Rudiyanto Gunawan; Francis J Doyle
Journal:  Biophys J       Date:  2006-06-30       Impact factor: 4.033

7.  Design principles underlying circadian clocks.

Authors:  D A Rand; B V Shulgin; D Salazar; A J Millar
Journal:  J R Soc Interface       Date:  2004-11-22       Impact factor: 4.118

Review 8.  Systems interface biology.

Authors:  Francis J Doyle; Jörg Stelling
Journal:  J R Soc Interface       Date:  2006-10-22       Impact factor: 4.118

9.  A molecular model for intercellular synchronization in the mammalian circadian clock.

Authors:  Tsz-Leung To; Michael A Henson; Erik D Herzog; Francis J Doyle
Journal:  Biophys J       Date:  2007-03-16       Impact factor: 4.033

10.  A novel computational model of the circadian clock in Arabidopsis that incorporates PRR7 and PRR9.

Authors:  Melanie N Zeilinger; Eva M Farré; Stephanie R Taylor; Steve A Kay; Francis J Doyle
Journal:  Mol Syst Biol       Date:  2006-11-14       Impact factor: 11.429

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  22 in total

1.  Influence of parameter values on the oscillation sensitivities of two p53-Mdm2 models.

Authors:  Christian E Cuba; Alexander R Valle; Giancarlo Ayala-Charca; Elizabeth R Villota; Alberto M Coronado
Journal:  Syst Synth Biol       Date:  2015-06-05

2.  Oscillator model reduction preserving the phase response: application to the circadian clock.

Authors:  Stephanie R Taylor; Francis J Doyle; Linda R Petzold
Journal:  Biophys J       Date:  2008-05-16       Impact factor: 4.033

3.  Synchrony and entrainment properties of robust circadian oscillators.

Authors:  Neda Bagheri; Stephanie R Taylor; Kirsten Meeker; Linda R Petzold; Francis J Doyle
Journal:  J R Soc Interface       Date:  2008-08-06       Impact factor: 4.118

4.  Robust entrainment of circadian oscillators requires specific phase response curves.

Authors:  Benjamin Pfeuty; Quentin Thommen; Marc Lefranc
Journal:  Biophys J       Date:  2011-06-08       Impact factor: 4.033

5.  Amplitude metrics for cellular circadian bioluminescence reporters.

Authors:  Peter C St John; Stephanie R Taylor; John H Abel; Francis J Doyle
Journal:  Biophys J       Date:  2014-12-02       Impact factor: 4.033

6.  An energy-optimal approach for entrainment of uncertain circadian oscillators.

Authors:  Dan Wilson; Jeff Moehlis
Journal:  Biophys J       Date:  2014-10-07       Impact factor: 4.033

7.  A systems theoretic approach to analysis and control of mammalian circadian dynamics.

Authors:  John H Abel; Francis J Doyle
Journal:  Chem Eng Res Des       Date:  2016-10-08       Impact factor: 3.739

8.  Compensating for Sensor Error in the Model Predictive Control of Circadian Clock Phase.

Authors:  Lindsey S Brown; Elizabeth B Klerman; Francis J Doyle
Journal:  IEEE Control Syst Lett       Date:  2019-05-28

9.  Robustness of circadian clocks to daylight fluctuations: hints from the picoeucaryote Ostreococcus tauri.

Authors:  Quentin Thommen; Benjamin Pfeuty; Pierre-Emmanuel Morant; Florence Corellou; François-Yves Bouget; Marc Lefranc
Journal:  PLoS Comput Biol       Date:  2010-11-11       Impact factor: 4.475

10.  Inhibitory and excitatory networks balance cell coupling in the suprachiasmatic nucleus: A modeling approach.

Authors:  Nathaniel J Kingsbury; Stephanie R Taylor; Michael A Henson
Journal:  J Theor Biol       Date:  2016-03-10       Impact factor: 2.691

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