Literature DB >> 31552424

De novo design of programmable inducible promoters.

Xiangyang Liu1,2, Sanjan T P Gupta2,3, Devesh Bhimsaria1, Jennifer L Reed2,3, José A Rodríguez-Martínez4, Aseem Z Ansari1,5, Srivatsan Raman1,2,5,6.   

Abstract

Ligand-responsive allosteric transcription factors (aTF) play a vital role in genetic circuits and high-throughput screening because they transduce biochemical signals into gene expression changes. Programmable control of gene expression from aTF-regulated promoter is important because different downstream effector genes function optimally at different expression levels. However, tuning gene expression of native promoters is difficult due to complex layers of homeostatic regulation encoded within them. We engineered synthetic promoters de novo by embedding operator sites with varying affinities and radically reshaped binding preferences within a minimal, constitutive Escherichia coli promoter. Multiplexed cell-based screening of promoters for three TetR-like aTFs generated with this approach gave rich diversity of gene expression levels, dynamic ranges and ligand sensitivities and were 50- to 100-fold more active over their respective native promoters. Machine learning on our dataset revealed that relative position of the core motif and bases flanking the core motif play an important role in modulating induction response. Our generalized approach yields customizable and programmable aTF-regulated promoters for engineering cellular pathways and enables the discovery of new small molecule biosensors.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2019        PMID: 31552424      PMCID: PMC6821364          DOI: 10.1093/nar/gkz772

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


  30 in total

1.  T-Coffee: A novel method for fast and accurate multiple sequence alignment.

Authors:  C Notredame; D G Higgins; J Heringa
Journal:  J Mol Biol       Date:  2000-09-08       Impact factor: 5.469

Review 2.  Determining the specificity of protein-DNA interactions.

Authors:  Gary D Stormo; Yue Zhao
Journal:  Nat Rev Genet       Date:  2010-09-28       Impact factor: 53.242

3.  Allosteric effects govern nuclear receptor action: DNA appears as a player.

Authors:  Hinrich Gronemeyer; William Bourguet
Journal:  Sci Signal       Date:  2009-06-02       Impact factor: 8.192

Review 4.  The TetR family of regulators.

Authors:  Leslie Cuthbertson; Justin R Nodwell
Journal:  Microbiol Mol Biol Rev       Date:  2013-09       Impact factor: 11.056

5.  Induction of Pseudomonas syringae pv. tomato DC3000 MexAB-OprM multidrug efflux pump by flavonoids is mediated by the repressor PmeR.

Authors:  Paola Vargas; Antonia Felipe; Carmen Michán; María-Trinidad Gallegos
Journal:  Mol Plant Microbe Interact       Date:  2011-10       Impact factor: 4.171

6.  Genetic programs constructed from layered logic gates in single cells.

Authors:  Tae Seok Moon; Chunbo Lou; Alvin Tamsir; Brynne C Stanton; Christopher A Voigt
Journal:  Nature       Date:  2012-10-07       Impact factor: 49.962

7.  DNA binding site sequence directs glucocorticoid receptor structure and activity.

Authors:  Sebastiaan H Meijsing; Miles A Pufall; Alex Y So; Darren L Bates; Lin Chen; Keith R Yamamoto
Journal:  Science       Date:  2009-04-17       Impact factor: 47.728

8.  Combinatorial bZIP dimers display complex DNA-binding specificity landscapes.

Authors:  José A Rodríguez-Martínez; Aaron W Reinke; Devesh Bhimsaria; Amy E Keating; Aseem Z Ansari
Journal:  Elife       Date:  2017-02-10       Impact factor: 8.140

9.  Mapping DNA sequence to transcription factor binding energy in vivo.

Authors:  Stephanie L Barnes; Nathan M Belliveau; William T Ireland; Justin B Kinney; Rob Phillips
Journal:  PLoS Comput Biol       Date:  2019-02-04       Impact factor: 4.475

10.  CD-HIT: accelerated for clustering the next-generation sequencing data.

Authors:  Limin Fu; Beifang Niu; Zhengwei Zhu; Sitao Wu; Weizhong Li
Journal:  Bioinformatics       Date:  2012-10-11       Impact factor: 6.937

View more
  8 in total

Review 1.  Strategies for enhancing gene expression in Escherichia coli.

Authors:  Tomo Kondo; Shigehiko Yumura
Journal:  Appl Microbiol Biotechnol       Date:  2020-03-03       Impact factor: 4.813

2.  An autoinducible trp-T7 expression system for production of proteins and biochemicals in Escherichia coli.

Authors:  Jenny Landberg; Hemanshu Mundhada; Alex Toftgaard Nielsen
Journal:  Biotechnol Bioeng       Date:  2020-02-18       Impact factor: 4.530

3.  Multiplexed characterization of rationally designed promoter architectures deconstructs combinatorial logic for IPTG-inducible systems.

Authors:  Timothy C Yu; Winnie L Liu; Marcia S Brinck; Jessica E Davis; Jeremy Shek; Grace Bower; Tal Einav; Kimberly D Insigne; Rob Phillips; Sriram Kosuri; Guillaume Urtecho
Journal:  Nat Commun       Date:  2021-01-12       Impact factor: 14.919

4.  Cell-free biosensors for rapid detection of water contaminants.

Authors:  Jaeyoung K Jung; Khalid K Alam; Matthew S Verosloff; Daiana A Capdevila; Morgane Desmau; Phillip R Clauer; Jeong Wook Lee; Peter Q Nguyen; Pablo A Pastén; Sandrine J Matiasek; Jean-François Gaillard; David P Giedroc; James J Collins; Julius B Lucks
Journal:  Nat Biotechnol       Date:  2020-07-06       Impact factor: 54.908

5.  Translational control of enzyme scavenger expression with toxin-induced micro RNA switches.

Authors:  Nina M Pollak; Justin J Cooper-White; Joanne Macdonald
Journal:  Sci Rep       Date:  2021-01-28       Impact factor: 4.379

Review 6.  Intelligent host engineering for metabolic flux optimisation in biotechnology.

Authors:  Lachlan J Munro; Douglas B Kell
Journal:  Biochem J       Date:  2021-10-29       Impact factor: 3.857

7.  De Novo Design of the ArsR Regulated Pars Promoter Enables a Highly Sensitive Whole-Cell Biosensor for Arsenic Contamination.

Authors:  Sheng-Yan Chen; Yan Zhang; Renjie Li; Baojun Wang; Bang-Ce Ye
Journal:  Anal Chem       Date:  2022-05-10       Impact factor: 8.008

Review 8.  Recent Progress Using De Novo Design to Study Protein Structure, Design and Binding Interactions.

Authors:  Juan Ferrando; Lee A Solomon
Journal:  Life (Basel)       Date:  2021-03-10
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.