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Bioinformatics Advance Access published online on March 17, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti392
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© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received December 5, 2004
Revised February 23, 2005
Accepted March 15, 2005

Article

Noise-induced cooperative behavior in a multi-cell system

Luonan Chen 1*, Ruiqi Wang 1, Tianshou Zhou 2, and Kazuyuki Aihara 3

1 Department of Electrical Engineering and Electronics, Osaka Sangyo University, Daito, Osaka 574-8530, Japan
2 Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China
3 Institute of Industrial Science, The University of Tokyo, Komaba 4-6-1, Meguro, Tokyo 153-8505; ERATO Aihara Complexity Modelling Project, JST, Oyama 45-18, Shibuya-ku, Tokyo 151-0065, Japan

* To whom correspondence should be addressed.
Luonan Chen, E-mail: chen{at}elec.osaka-sandai.ac.jp


  Abstract

Motivation: All cell components exhibit intracellular noise due to random births and deaths of individual molecules, and extracellular noise due to environment perturbations. In particular, gene regulation is an inherently noisy process with transcriptional control, alternative splicing, translation, diffusion and chemical modification reactions, which all involve stochastic fluctuations. Such stochastic noises may not only affect the dynamics of the entire system but may also be exploited by living organisms to actively facilitate certain functions, such as cooperative behavior and communication.

Results: We have provided a general model and an analytic tool to examine the cooperative behavior of a multi-cell system with both intracellular and extracellular stochastic fluctuations. A multi-cell system with a synthetic gene network is adopted to demonstrate the effects of noises and coupling on collective dynamics. These results establish not only a theoretical foundation but also a quantitative basis for understanding essential roles of noises on cooperative dynamics, such as synchronization and communication among cells.


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