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Control, exploitation and tolerance of intracellular noise

Author

Listed:
  • Christopher V. Rao

    (Lawrence Berkeley National Laboratory, Howard Hughes Medical Institute)

  • Denise M. Wolf

    (Lawrence Berkeley National Laboratory, Howard Hughes Medical Institute)

  • Adam P. Arkin

    (Lawrence Berkeley National Laboratory, Howard Hughes Medical Institute
    University of California, Lawrence Berkeley National Laboratory, Howard Hughes Medical Institute
    Lawrence Berkeley National Laboratory, Howard Hughes Medical Institute)

Abstract

Noise has many roles in biological function, including generation of errors in DNA replication leading to mutation and evolution, noise-driven divergence of cell fates, noise-induced amplification of signals, and maintenance of the quantitative individuality of cells. Yet there is order to the behaviour and development of cells. They operate within strict parameters and in many cases this behaviour seems robust, implying that noise is largely filtered by the system. How can we explain the use, rejection and sensitivity to noise that is found in biological systems? An exploration of the sources and consequences of noise calls for the use of stochastic models.

Suggested Citation

  • Christopher V. Rao & Denise M. Wolf & Adam P. Arkin, 2002. "Control, exploitation and tolerance of intracellular noise," Nature, Nature, vol. 420(6912), pages 231-237, November.
    • Handle: RePEc:nat:nature:v:420:y:2002:i:6912:d:10.1038_nature01258
    DOI: 10.1038/nature01258
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    Cited by:

    1. David M Holloway & Francisco J P Lopes & Luciano da Fontoura Costa & Bruno A N Travençolo & Nina Golyandina & Konstantin Usevich & Alexander V Spirov, 2011. "Gene Expression Noise in Spatial Patterning: hunchback Promoter Structure Affects Noise Amplitude and Distribution in Drosophila Segmentation," PLOS Computational Biology, Public Library of Science, vol. 7(2), pages 1-18, February.
    2. Ankit Gupta & Corentin Briat & Mustafa Khammash, 2014. "A Scalable Computational Framework for Establishing Long-Term Behavior of Stochastic Reaction Networks," PLOS Computational Biology, Public Library of Science, vol. 10(6), pages 1-16, June.
    3. Junjie Luo & Jun Wang & Ting Martin Ma & Zhirong Sun, 2010. "Reverse Engineering of Bacterial Chemotaxis Pathway via Frequency Domain Analysis," PLOS ONE, Public Library of Science, vol. 5(3), pages 1-8, March.
    4. Arantxa Urchueguía & Luca Galbusera & Dany Chauvin & Gwendoline Bellement & Thomas Julou & Erik van Nimwegen, 2021. "Genome-wide gene expression noise in Escherichia coli is condition-dependent and determined by propagation of noise through the regulatory network," PLOS Biology, Public Library of Science, vol. 19(12), pages 1-22, December.
    5. Burton W Andrews & Pablo A Iglesias, 2007. "An Information-Theoretic Characterization of the Optimal Gradient Sensing Response of Cells," PLOS Computational Biology, Public Library of Science, vol. 3(8), pages 1-9, August.
    6. Ankit Gupta & Mustafa Khammash, 2022. "Frequency spectra and the color of cellular noise," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    7. Jordi Heijman & Antonio Zaza & Daniel M Johnson & Yoram Rudy & Ralf L M Peeters & Paul G A Volders & Ronald L Westra, 2013. "Determinants of Beat-to-Beat Variability of Repolarization Duration in the Canine Ventricular Myocyte: A Computational Analysis," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-14, August.
    8. Burton W Andrews & Tau-Mu Yi & Pablo A Iglesias, 2006. "Optimal Noise Filtering in the Chemotactic Response of Escherichia coli," PLOS Computational Biology, Public Library of Science, vol. 2(11), pages 1-12, November.
    9. Thounaojam, Umeshkanta Singh, 2022. "Stochastic chaos in chemical Lorenz system: Interplay of intrinsic noise and nonlinearity," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    10. Lucy Ham & Megan A. Coomer & Kaan Öcal & Ramon Grima & Michael P. H. Stumpf, 2024. "A stochastic vs deterministic perspective on the timing of cellular events," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    11. Mark Hallen & Bochong Li & Yu Tanouchi & Cheemeng Tan & Mike West & Lingchong You, 2011. "Computation of Steady-State Probability Distributions in Stochastic Models of Cellular Networks," PLOS Computational Biology, Public Library of Science, vol. 7(10), pages 1-16, October.
    12. Lucia Marucci & David A W Barton & Irene Cantone & Maria Aurelia Ricci & Maria Pia Cosma & Stefania Santini & Diego di Bernardo & Mario di Bernardo, 2009. "How to Turn a Genetic Circuit into a Synthetic Tunable Oscillator, or a Bistable Switch," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-10, December.
    13. Shuangyu Bi & Manika Kargeti & Remy Colin & Niklas Farke & Hannes Link & Victor Sourjik, 2023. "Dynamic fluctuations in a bacterial metabolic network," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    14. Benjamin B Kaufmann & Qiong Yang & Jerome T Mettetal & Alexander van Oudenaarden, 2007. "Heritable Stochastic Switching Revealed by Single-Cell Genealogy," PLOS Biology, Public Library of Science, vol. 5(9), pages 1-8, September.
    15. Singh, Shakti Nath & Chanu, Athokpam Langlen & Malik, Md. Zubbair & Singh, R.K. Brojen, 2021. "Interplay of cellular states: Role of delay as control mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).

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