Literature DB >> 25589545

Amplification of small molecule-inducible gene expression via tuning of intracellular receptor densities.

Baojun Wang, Mauricio Barahona, Martin Buck.   

Abstract

Ligand-responsive transcription factors in prokaryotes found simple small molecule-inducible gene expression systems. These have been extensively used for regulated protein production and associated biosynthesis of fine chemicals. However, the promoter and protein engineering approaches traditionally used often pose significant restrictions to predictably and rapidly tune the expression profiles of inducible expression systems. Here, we present a new unified and rational tuning method to amplify the sensitivity and dynamic ranges of versatile small molecule-inducible expression systems. We employ a systematic variation of the concentration of intracellular receptors for transcriptional control. We show that a low density of the repressor receptor (e.g. TetR and ArsR) in the cell can significantly increase the sensitivity and dynamic range, whereas a high activator receptor (e.g. LuxR) density achieves the same outcome. The intracellular concentration of receptors can be tuned in both discrete and continuous modes by adjusting the strength of their cognate driving promoters. We exemplified this approach in several synthetic receptor-mediated sensing circuits, including a tunable cell-based arsenic sensor. The approach offers a new paradigm to predictably tune and amplify ligand-responsive gene expression with potential applications in synthetic biology and industrial biotechnology.

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Year:  2015        PMID: 25589545      PMCID: PMC4330358          DOI: 10.1093/nar/gku1388

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


  34 in total

1.  Regulation of noise in the expression of a single gene.

Authors:  Ertugrul M Ozbudak; Mukund Thattai; Iren Kurtser; Alan D Grossman; Alexander van Oudenaarden
Journal:  Nat Genet       Date:  2002-04-22       Impact factor: 38.330

2.  One-component systems dominate signal transduction in prokaryotes.

Authors:  Luke E Ulrich; Eugene V Koonin; Igor B Zhulin
Journal:  Trends Microbiol       Date:  2005-02       Impact factor: 17.079

Review 3.  Biosensors and their applications in microbial metabolic engineering.

Authors:  Fuzhong Zhang; Jay Keasling
Journal:  Trends Microbiol       Date:  2011-06-12       Impact factor: 17.079

4.  Quorum sensing in Vibrio fischeri: essential elements for activation of the luminescence genes.

Authors:  A M Stevens; E P Greenberg
Journal:  J Bacteriol       Date:  1997-01       Impact factor: 3.490

5.  Design of a dynamic sensor-regulator system for production of chemicals and fuels derived from fatty acids.

Authors:  Fuzhong Zhang; James M Carothers; Jay D Keasling
Journal:  Nat Biotechnol       Date:  2012-03-25       Impact factor: 54.908

6.  Programmable bacteria detect and record an environmental signal in the mammalian gut.

Authors:  Jonathan W Kotula; S Jordan Kerns; Lev A Shaket; Layla Siraj; James J Collins; Jeffrey C Way; Pamela A Silver
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-17       Impact factor: 11.205

7.  Independent and tight regulation of transcriptional units in Escherichia coli via the LacR/O, the TetR/O and AraC/I1-I2 regulatory elements.

Authors:  R Lutz; H Bujard
Journal:  Nucleic Acids Res       Date:  1997-03-15       Impact factor: 16.971

8.  Engineering modular and tunable genetic amplifiers for scaling transcriptional signals in cascaded gene networks.

Authors:  Baojun Wang; Mauricio Barahona; Martin Buck
Journal:  Nucleic Acids Res       Date:  2014-07-16       Impact factor: 16.971

Review 9.  The application of Tet repressor in prokaryotic gene regulation and expression.

Authors:  Ralph Bertram; Wolfgang Hillen
Journal:  Microb Biotechnol       Date:  2008-01       Impact factor: 5.813

10.  Programming gene expression with combinatorial promoters.

Authors:  Robert Sidney Cox; Michael G Surette; Michael B Elowitz
Journal:  Mol Syst Biol       Date:  2007-11-13       Impact factor: 11.429

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  29 in total

Review 1.  Synthetic Biology: Engineering Living Systems from Biophysical Principles.

Authors:  Bryan A Bartley; Kyung Kim; J Kyle Medley; Herbert M Sauro
Journal:  Biophys J       Date:  2017-03-28       Impact factor: 4.033

Review 2.  Tailor-made transcriptional biosensors for optimizing microbial cell factories.

Authors:  Brecht De Paepe; Gert Peters; Pieter Coussement; Jo Maertens; Marjan De Mey
Journal:  J Ind Microbiol Biotechnol       Date:  2016-11-11       Impact factor: 3.346

Review 3.  Recent advances in synthetic biology-enabled and natural whole-cell optical biosensing of heavy metals.

Authors:  Ankur Singh; Vipin Kumar
Journal:  Anal Bioanal Chem       Date:  2020-09-22       Impact factor: 4.142

Review 4.  Rational engineering of synthetic microbial systems: from single cells to consortia.

Authors:  Philip Bittihn; M Omar Din; Lev S Tsimring; Jeff Hasty
Journal:  Curr Opin Microbiol       Date:  2018-03-22       Impact factor: 7.934

5.  Engineering prokaryotic transcriptional activators as metabolite biosensors in yeast.

Authors:  Mette L Skjoedt; Tim Snoek; Kanchana R Kildegaard; Dushica Arsovska; Michael Eichenberger; Tobias J Goedecke; Arun S Rajkumar; Jie Zhang; Mette Kristensen; Beata J Lehka; Solvej Siedler; Irina Borodina; Michael K Jensen; Jay D Keasling
Journal:  Nat Chem Biol       Date:  2016-09-19       Impact factor: 15.040

6.  Cheating the Cheater: Suppressing False-Positive Enrichment during Biosensor-Guided Biocatalyst Engineering.

Authors:  Vikas D Trivedi; Karishma Mohan; Todd C Chappell; Zachary J S Mays; Nikhil U Nair
Journal:  ACS Synth Biol       Date:  2021-12-16       Impact factor: 5.249

7.  A Whole-Cell Biosensor for Detection of 2,4-Diacetylphloroglucinol (DAPG)-Producing Bacteria from Grassland Soil.

Authors:  Morten Lindqvist Hansen; Zhiming He; Mario Wibowo; Lars Jelsbak
Journal:  Appl Environ Microbiol       Date:  2021-01-15       Impact factor: 4.792

8.  Construction of cadmium whole-cell biosensors and circuit amplification.

Authors:  Xiaoqiang Jia; Teng Liu; Yubing Ma; Kang Wu
Journal:  Appl Microbiol Biotechnol       Date:  2021-06-23       Impact factor: 4.813

Review 9.  Designer cell signal processing circuits for biotechnology.

Authors:  Robert W Bradley; Baojun Wang
Journal:  N Biotechnol       Date:  2015-01-08       Impact factor: 5.079

Review 10.  Phenotypic Variability in Synthetic Biology Applications: Dealing with Noise in Microbial Gene Expression.

Authors:  Lucia Bandiera; Simone Furini; Emanuele Giordano
Journal:  Front Microbiol       Date:  2016-04-08       Impact factor: 5.640

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