Bacterial Sensing and Signaling

Editor(s): Collin M. (Lund) 
Schuch R. (New York, N.Y.) 
Table of Contents
Vol. 16, No. , 2009
Section title: Paper
Collin M, Schuch R (eds): Bacterial Sensing and Signaling. Contrib Microbiol. Basel, Karger, 2009, vol 16, pp 194–225

Engineering Bacterial Signals and Sensors

Salis H.a · Tamsir A.b · Voigt C.a
aDepartment of Pharmaceutical Chemistry and bBiochemistry, Cell & Developmental Biology, and Genetics (Tetrad) Graduate Program, University of California, San Francisco, Calif., USA
email Corresponding Author

Howard Salis, University of California, San Francisco, 1700 4th St., Byer’s Hall MC 2540, Room 408C, San Francisco, CA 94158 (USA), Tel. +1 415 514 9745, Fax +1 415 502 4690, E-Mail

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In the emerging field of synthetic biology, a central goal is to reliably engineer bacteria to respond to environmental signals according to a pre-determined genetic program. The sensor systems and genetic circuitry inside bacteria are the ‘eyes’ and ‘brain’ of a new class of biotechnological applications in which bacteria are used as living, self-replicating computers that can beneficially interact with the physical world. These engineered gene networks are constructed by extracting natural sensor systems and other genetic parts from multiple organisms and recombining them into novel configurations. This chapter is a how-to guide. It describes several strategies for engineering new bacterial sensor systems and synthetic gene networks that are capable of sensing a desired stimulus and generating interesting dynamical or pattern-forming responses. We also provide specification sheets describing many two-component and quorum-sensing systems, focusing on the information that one needs to know in order to use them for engineering applications.

© 2009 S. Karger AG, Basel

Article / Publication Details

First-Page Preview
Abstract of Paper

Published online: 6/2/2009
Cover Date: 2009

Number of Print Pages: 32
Number of Figures: 0
Number of Tables: 0

ISBN: 978-3-8055-9132-4 (Print)
eISBN: 978-3-8055-9133-1 (Online)

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