Literature DB >> 6742159

What is a biological oscillator?

W O Friesen, G D Block.   

Abstract

Biological oscillators are amenable to qualitative analysis even before they have been described exhaustively in quantitative terms. Qualitative analysis can identify the elements essential for generating the oscillations and can enhance our understanding of underlying oscillator mechanisms. Two essential elements of a biological oscillator are 1) an inhibitory feedback loop, which includes one or more oscillating variables, and 2) a source of delay in this feedback loop, which allows an oscillating variable to overshoot a steady-state value before the feedback inhibition is fully effective. The analysis of the patterns of interactions and delays observed in biological oscillators is simplified by the translation of variables, interactions, and delays into schematic representations. To illustrate how such translations can be implemented, three biological oscillators are described schematically: 1) the glycolytic oscillator, 2) the bursting of the molluscan neuron, R15, and 3) the oscillations underlying smooth muscle contractions.

Mesh:

Year:  1984        PMID: 6742159     DOI: 10.1152/ajpregu.1984.246.6.R847

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  16 in total

1.  Differential control of active and silent phases in relaxation models of neuronal rhythms.

Authors:  Joël Tabak; Michael J O'Donovan; John Rinzel
Journal:  J Comput Neurosci       Date:  2006-07-28       Impact factor: 1.621

2.  Salad days in the rhythms trade.

Authors:  Jay C Dunlap
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

3.  Determining the contributions of divisive and subtractive feedback in the Hodgkin-Huxley model.

Authors:  Sevgi Sengül; Robert Clewley; Richard Bertram; Joël Tabak
Journal:  J Comput Neurosci       Date:  2014-06-25       Impact factor: 1.621

4.  Incoherent Inputs Enhance the Robustness of Biological Oscillators.

Authors:  Zhengda Li; Shixuan Liu; Qiong Yang
Journal:  Cell Syst       Date:  2017-07-26       Impact factor: 10.304

5.  Intercellular delay regulates the collective period of repressively coupled gene regulatory oscillator networks.

Authors:  Yongqiang Wang; Yutaka Hori; Shinji Hara; Francis J Doyle
Journal:  IEEE Trans Automat Contr       Date:  2014-01       Impact factor: 5.792

6.  A graphical and computational modeling platform for biological pathways.

Authors:  Alessandra Livigni; Laura O'Hara; Marta E Polak; Tim Angus; Derek W Wright; Lee B Smith; Tom C Freeman
Journal:  Nat Protoc       Date:  2018-03-15       Impact factor: 13.491

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.  Correlation analysis a tool for comparing relaxation-type models to experimental data.

Authors:  Maurizio Tomaiuolo; Joel Tabak; Richard Bertram
Journal:  Methods Enzymol       Date:  2009       Impact factor: 1.600

9.  Systems and synthetic biology approaches in understanding biological oscillators.

Authors:  Zhengda Li; Qiong Yang
Journal:  Quant Biol       Date:  2017-11-02

10.  Nonlinear phase interaction between nonstationary signals: a comparison study of methods based on Hilbert-Huang and Fourier transforms.

Authors:  Men-Tzung Lo; Vera Novak; C-K Peng; Yanhui Liu; Kun Hu
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-06-29
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