Literature DB >> 27472026

Sensing new chemicals with bacterial transcription factors.

Vincent Libis1, Baudoin Delépine1, Jean-Loup Faulon2.   

Abstract

Bacteria rely on allosteric transcription factors (aTFs) to sense a wide range of chemicals. The variety of effectors has contributed in making aTFs the most used input system in synthetic biological circuits. Considering their enabling role in biotechnology, an important question concerns the size of the chemical space that can potentially be detected by these biosensors. From digging into the ever changing repertoire of natural regulatory circuits, to advances in aTF engineering, we review here different strategies that are pushing the boundaries of this chemical space. We also review natural and synthetic cases of indirect sensing, where aTFs work in combination with metabolism to enable detection of new molecules.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27472026     DOI: 10.1016/j.mib.2016.07.006

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  15 in total

Review 1.  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 2.  Redefining fundamental concepts of transcription initiation in bacteria.

Authors:  Citlalli Mejía-Almonte; Stephen J W Busby; Joseph T Wade; Jacques van Helden; Adam P Arkin; Gary D Stormo; Karen Eilbeck; Bernhard O Palsson; James E Galagan; Julio Collado-Vides
Journal:  Nat Rev Genet       Date:  2020-07-14       Impact factor: 53.242

3.  Evolution-guided engineering of small-molecule biosensors.

Authors:  Tim Snoek; Evan K Chaberski; Francesca Ambri; Stefan Kol; Sara P Bjørn; Bo Pang; Jesus F Barajas; Ditte H Welner; Michael K Jensen; Jay D Keasling
Journal:  Nucleic Acids Res       Date:  2020-01-10       Impact factor: 16.971

Review 4.  Protein Engineering for Improving and Diversifying Natural Product Biosynthesis.

Authors:  Chenyi Li; Ruihua Zhang; Jian Wang; Lauren Marie Wilson; Yajun Yan
Journal:  Trends Biotechnol       Date:  2020-01-15       Impact factor: 19.536

5.  Directed Evolution of Transcription Factor-Based Biosensors for Altered Effector Specificity.

Authors:  Leopoldo Ferreira Marques Machado; Neil Dixon
Journal:  Methods Mol Biol       Date:  2022

Review 6.  Biosensor-enabled pathway optimization in metabolic engineering.

Authors:  Yuxi Teng; Jianli Zhang; Tian Jiang; Yusong Zou; Xinyu Gong; Yajun Yan
Journal:  Curr Opin Biotechnol       Date:  2022-02-11       Impact factor: 10.279

7.  A Versatile Transcription Factor Biosensor System Responsive to Multiple Aromatic and Indole Inducers.

Authors:  Mohamed A Nasr; Logan R Timmins; Vincent J J Martin; David H Kwan
Journal:  ACS Synth Biol       Date:  2022-03-22       Impact factor: 5.249

8.  A Förster Resonance Energy Transfer-Based Ratiometric Sensor with the Allosteric Transcription Factor TetR.

Authors:  Thuy T Nguyen; Margaret Chern; R C Baer; James Galagan; Allison M Dennis
Journal:  Small       Date:  2020-04-06       Impact factor: 13.281

9.  Sort-Seq Approach to Engineering a Formaldehyde-Inducible Promoter for Dynamically Regulated Escherichia coli Growth on Methanol.

Authors:  Julia Rohlhill; Nicholas R Sandoval; Eleftherios T Papoutsakis
Journal:  ACS Synth Biol       Date:  2017-05-09       Impact factor: 5.110

10.  Dynamic control of endogenous metabolism with combinatorial logic circuits.

Authors:  Felix Moser; Amin Espah Borujeni; Amar N Ghodasara; Ewen Cameron; Yongjin Park; Christopher A Voigt
Journal:  Mol Syst Biol       Date:  2018-11-27       Impact factor: 11.429

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