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Circadian clocks limited by noise

Author

Listed:
  • Naama Barkai

    (Princeton University)

  • Stanislas Leibler

    (Princeton University)

Abstract

Circadian rhythms, which provide internal daily periodicity, are used by a wide range of organisms to anticipate daily changes in the environment1. It seems that these organisms generate circadian periodicity by similar biochemical networks within a single cell2. A model based on the common features of these biochemical networks shows that a circadian network can oscillate reliably in the presence of stochastic biochemical noise and when cellular conditions are altered. We propose that the ability to resist such perturbations imposes strict constraints on the oscillation mechanisms underlying circadian periodicity in vivo.

Suggested Citation

  • Naama Barkai & Stanislas Leibler, 2000. "Circadian clocks limited by noise," Nature, Nature, vol. 403(6767), pages 267-268, January.
    • Handle: RePEc:nat:nature:v:403:y:2000:i:6767:d:10.1038_35002258
    DOI: 10.1038/35002258
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    Cited by:

    1. Stefano Ciliberti & Olivier C Martin & Andreas Wagner, 2007. "Robustness Can Evolve Gradually in Complex Regulatory Gene Networks with Varying Topology," PLOS Computational Biology, Public Library of Science, vol. 3(2), pages 1-10, February.
    2. Zhou, Peipei & Cai, Shuiming & Liu, Zengrong & Chen, Luonan & Wang, Ruiqi, 2013. "Coupling switches and oscillators as a means to shape cellular signals in biomolecular systems," Chaos, Solitons & Fractals, Elsevier, vol. 50(C), pages 115-126.
    3. Nick E Phillips & Cerys Manning & Nancy Papalopulu & Magnus Rattray, 2017. "Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processes," PLOS Computational Biology, Public Library of Science, vol. 13(5), pages 1-30, May.
    4. Irene Otero-Muras & Julio R Banga, 2016. "Design Principles of Biological Oscillators through Optimization: Forward and Reverse Analysis," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-26, December.
    5. Šimonka, Vito & Fras, Maja & Gosak, Marko, 2015. "Stochastic simulation of the circadian rhythmicity in the SCN neuronal network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 1-10.
    6. Peter C St. John & Francis J Doyle III, 2015. "Quantifying Stochastic Noise in Cultured Circadian Reporter Cells," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-17, November.

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