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Noise in Gene Regulatory Networks

  • Juan M. PedrazaEmail author
  • Alexander van Oudenaarden
Part of the Topics in Biomedical Engineering International Book Series book series (ITBE)

Abstract

Gene expression is based on biochemical processes that are inherently stochastic. The resulting fluctuations in mRNA and protein levels can sometimes be exploited but generally need to be controlled for reliable function of regulatory networks. From models of these biochemical processes it is possible to obtain analytical expressions for the stochastic properties of the resulting distributions of expression levels. We present a review of the two main analytical techniques for modeling stochastic gene expression.

Keywords

Master Equation Gene Regulatory Network Noise Term Macroscopic Equation Eukaryotic Gene Expression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Inc. 2006

Authors and Affiliations

  1. 1.Department of PhysicsMassachusetts Institute of TechnologyCambridge

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