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Combinatorial synthesis of genetic networks
Author(s): Guet CC, Elowitz MB, Hsing WH, Leibler S
Source: SCIENCE    Volume: 296    Issue: 5572    Pages: 1466-1470    Published: MAY 24 2002  
Times Cited: 187     References: 18     
Abstract: A central problem in biology is determining how genes interact as parts of functional networks. Creation and analysis of synthetic networks, composed of well-characterized genetic elements, provide a framework for theoretical modeling. Here, with the use of a combinatorial method, a library of networks with varying connectivity was generated in Escherichia coli. These networks were composed of genes encoding the transcriptional regulators Lacl, TetR, and lambda Cl, as well as the corresponding promoters. They displayed phenotypic behaviors resembling binary logical circuits, with two chemical "inputs" and a fluorescent protein "output." Within this simple system, diverse computational functions arose through changes in network connectivity. Combinatorial synthesis provides an alternative approach for studying biological networks, as well as an efficient method for producing diverse phenotypes in vivo.
Document Type: Article
Language: English
Reprint Address: Leibler, S (reprint author), Rockefeller Univ, Lab Living Matter, 1230 York Ave, New York, NY 10021 USA
Addresses:
1. Rockefeller Univ, Lab Living Matter, New York, NY 10021 USA
2. Princeton Univ, Howard Hughes Med Inst, Dept Mol Biol, Princeton, NJ 08544 USA
3. Princeton Univ, Dept Phys, Princeton, NJ 08544 USA
Publisher: AMER ASSOC ADVANCEMENT SCIENCE, 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA
Subject Category: Multidisciplinary Sciences
IDS Number: 557LP
ISSN: 0036-8075
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