Literature DB >> 33451181

Period-amplitude co-variation in biomolecular oscillators.

Venkat Bokka1, Abhishek Dey1, Shaunak Sen1.   

Abstract

The period and amplitude of biomolecular oscillators are functionally important properties in multiple contexts. For a biomolecular oscillator, the overall constraints in how tuning of amplitude affects period, and vice versa, are generally unclear. Here, the authors investigate this co-variation of the period and amplitude in mathematical models of biomolecular oscillators using both simulations and analytical approximations. The authors computed the amplitude-period co-variation of 11 benchmark biomolecular oscillators as their parameters were individually varied around a nominal value, classifying the various co-variation patterns such as a simultaneous increase/decrease in period and amplitude. Next, the authors repeated the classification using a power norm-based amplitude metric, to account for the amplitudes of the many biomolecular species that may be part of the oscillations, finding largely similar trends. Finally, the authors calculate 'scaling laws' of period-amplitude co-variation for a subset of these benchmark oscillators finding that as the approximated period increases, the upper bound of the amplitude increases, or reaches a constant value. Based on these results, the authors discuss the effect of different parameters on the type of period-amplitude co-variation as well as the difficulty in achieving an oscillation with large amplitude and small period.
© 2020 The Institution of Engineering and Technology.

Entities:  

Keywords:  analytical approximations; biology computing; biomolecular oscillators; circadian rhythms; co-variation patterns; mathematical models; molecular biophysics; oscillations; period-amplitude co-variation; power norm-based amplitude metric; scaling laws

Year:  2018        PMID: 33451181      PMCID: PMC8687215          DOI: 10.1049/iet-syb.2018.0015

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  24 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

Review 2.  A comparative analysis of synthetic genetic oscillators.

Authors:  Oliver Purcell; Nigel J Savery; Claire S Grierson; Mario di Bernardo
Journal:  J R Soc Interface       Date:  2010-06-30       Impact factor: 4.118

3.  Systems-level dissection of the cell-cycle oscillator: bypassing positive feedback produces damped oscillations.

Authors:  Joseph R Pomerening; Sun Young Kim; James E Ferrell
Journal:  Cell       Date:  2005-08-26       Impact factor: 41.582

4.  Impulses and Physiological States in Theoretical Models of Nerve Membrane.

Authors:  R Fitzhugh
Journal:  Biophys J       Date:  1961-07       Impact factor: 4.033

5.  Programmable chemical controllers made from DNA.

Authors:  Yuan-Jyue Chen; Neil Dalchau; Niranjan Srinivas; Andrew Phillips; Luca Cardelli; David Soloveichik; Georg Seelig
Journal:  Nat Nanotechnol       Date:  2013-09-29       Impact factor: 39.213

6.  Modeling circadian oscillations with interlocking positive and negative feedback loops.

Authors:  P Smolen; D A Baxter; J H Byrne
Journal:  J Neurosci       Date:  2001-09-01       Impact factor: 6.167

7.  A synthetic gene-metabolic oscillator.

Authors:  Eileen Fung; Wilson W Wong; Jason K Suen; Thomas Bulter; Sun-gu Lee; James C Liao
Journal:  Nature       Date:  2005-05-05       Impact factor: 49.962

8.  Robust, tunable biological oscillations from interlinked positive and negative feedback loops.

Authors:  Tony Yu-Chen Tsai; Yoon Sup Choi; Wenzhe Ma; Joseph R Pomerening; Chao Tang; James E Ferrell
Journal:  Science       Date:  2008-07-04       Impact factor: 47.728

9.  Positive feedback promotes oscillations in negative feedback loops.

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

10.  Temperature-amplitude coupling for stable biological rhythms at different temperatures.

Authors:  Gen Kurosawa; Atsuko Fujioka; Satoshi Koinuma; Atsushi Mochizuki; Yasufumi Shigeyoshi
Journal:  PLoS Comput Biol       Date:  2017-06-08       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.