Engineering Gene Regulatory Networks: A Reductionist Approach to Systems Biology

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• 作者：James J. Collins
• 刊名：Lecture Notes in Computer Science
• 出版年：2005
• 出版时间：2005
• 年：2005
• 卷：3500
• 期：1
• 页码：p.505
• 全文大小：32 KB

文摘

Many fundamental cellular processes are governed by genetic programs which employ protein-DNA interactions in regulating function. Owing to recent technological advances, it is now possible to design synthetic gene regulatory networks, and the stage is set for the notion of engineered cellular control at the DNA level. Theoretically, the biochemistry of the feedback loops associated with protein-DNA interactions often leads to nonlinear equations, and the tools of nonlinear analysis become invaluable. In this talk, we describe how techniques from nonlinear dynamics and molecular biology can be utilized to model, design and construct synthetic gene regulatory networks. We present examples in which we integrate the development of a theoretical model with the construction of an experimental system. We also discuss the implications of synthetic gene networks for gene therapy, biotechnology, biocomputing and nanotechnology. In particular, we describe how engineered gene networks can be used to reverse-engineer naturally occurring gene regulatory networks. Such methods may prove useful in identifying and validating specific drug targets and in deconvolving the effects of chemical compounds.