Literature DB >> 31162606

Engineering repressors with coevolutionary cues facilitates toggle switches with a master reset.

Rey P Dimas1, Xian-Li Jiang2, Jose Alberto de la Paz2, Faruck Morcos2,3,4, Clement T Y Chan1,5.   

Abstract

Engineering allosteric transcriptional repressors containing an environmental sensing module (ESM) and a DNA recognition module (DRM) has the potential to unlock a combinatorial set of rationally designed biological responses. We demonstrated that constructing hybrid repressors by fusing distinct ESMs and DRMs provides a means to flexibly rewire genetic networks for complex signal processing. We have used coevolutionary traits among LacI homologs to develop a model for predicting compatibility between ESMs and DRMs. Our predictions accurately agree with the performance of 40 engineered repressors. We have harnessed this framework to develop a system of multiple toggle switches with a master OFF signal that produces a unique behavior: each engineered biological activity is switched to a stable ON state by different chemicals and returned to OFF in response to a common signal. One promising application of this design is to develop living diagnostics for monitoring multiple parameters in complex physiological environments and it represents one of many circuit topologies that can be explored with modular repressors designed with coevolutionary information.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2019        PMID: 31162606      PMCID: PMC6547410          DOI: 10.1093/nar/gkz280

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  63 in total

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4.  Epistatic contributions promote the unification of incompatible models of neutral molecular evolution.

Authors:  Jose Alberto de la Paz; Charisse M Nartey; Monisha Yuvaraj; Faruck Morcos
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5.  Engineering DNA recognition and allosteric response properties of TetR family proteins by using a module-swapping strategy.

Authors:  Rey P Dimas; Benjamin R Jordan; Xian-Li Jiang; Catherine Martini; Joseph S Glavy; Dustin P Patterson; Faruck Morcos; Clement T Y Chan
Journal:  Nucleic Acids Res       Date:  2019-09-19       Impact factor: 16.971

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  6 in total

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