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  4. 'Deadman' and 'Passcode' microbial kill switches for bacterial containment

'Deadman' and 'Passcode' microbial kill switches for bacterial containment

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Author(s)
Bashor, Caleb
•
Collins, James J.
•
Chan, Clement T. Y.
•
Lee, Jeongwook
•
Cameron, Douglas
Date Issued
December 2015
Journal
Nature Chemical Biology
Publisher
Nature Publishing Group
Citation
Chan, Clement T Y, Jeong Wook Lee, D Ewen Cameron, Caleb J Bashor, and James J Collins. “‘Deadman’ and ‘Passcode’ Microbial Kill Switches for Bacterial Containment.” Nature Chemical Biology 12, no. 2 (December 7, 2015): 82–86.
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Author's final manuscript
Abstract
Biocontainment systems that couple environmental sensing with circuit-based control of cell viability could be used to prevent escape of genetically modified microbes into the environment. Here we present two engineered safeguard systems known as the 'Deadman' and 'Passcode' kill switches. The Deadman kill switch uses unbalanced reciprocal transcriptional repression to couple a specific input signal with cell survival. The Passcode kill switch uses a similar two-layered transcription design and incorporates hybrid LacI-GalR family transcription factors to provide diverse and complex environmental inputs to control circuit function. These synthetic gene circuits efficiently kill Escherichia coli and can be readily reprogrammed to change their environmental inputs, regulatory architecture and killing mechanism.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Synthetic Biology Center
Harvard University--MIT Division of Health Sciences and Technology
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/108106
DOI of Published Version
https://doi.org/10.1038/nchembio.1979
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