Literature DB >> 29578536

Burden-driven feedback control of gene expression.

Francesca Ceroni1,2, Alice Boo2,3, Simone Furini4, Thomas E Gorochowski5, Olivier Borkowski2,3, Yaseen N Ladak6, Ali R Awan2,3, Charlie Gilbert2,3, Guy-Bart Stan2,3, Tom Ellis2,3.   

Abstract

Cells use feedback regulation to ensure robust growth despite fluctuating demands for resources and differing environmental conditions. However, the expression of foreign proteins from engineered constructs is an unnatural burden that cells are not adapted for. Here we combined RNA-seq with an in vivo assay to identify the major transcriptional changes that occur in Escherichia coli when inducible synthetic constructs are expressed. We observed that native promoters related to the heat-shock response activated expression rapidly in response to synthetic expression, regardless of the construct. Using these promoters, we built a dCas9-based feedback-regulation system that automatically adjusts the expression of a synthetic construct in response to burden. Cells equipped with this general-use controller maintained their capacity for native gene expression to ensure robust growth and thus outperformed unregulated cells in terms of protein yield in batch production. This engineered feedback is to our knowledge the first example of a universal, burden-based biomolecular control system and is modular, tunable and portable.

Entities:  

Mesh:

Year:  2018        PMID: 29578536     DOI: 10.1038/nmeth.4635

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  41 in total

1.  Regulon and promoter analysis of the E. coli heat-shock factor, sigma32, reveals a multifaceted cellular response to heat stress.

Authors:  Gen Nonaka; Matthew Blankschien; Christophe Herman; Carol A Gross; Virgil A Rhodius
Journal:  Genes Dev       Date:  2006-07-01       Impact factor: 11.361

2.  Synthetic spike-in standards for RNA-seq experiments.

Authors:  Lichun Jiang; Felix Schlesinger; Carrie A Davis; Yu Zhang; Renhua Li; Marc Salit; Thomas R Gingeras; Brian Oliver
Journal:  Genome Res       Date:  2011-08-04       Impact factor: 9.043

3.  Quantifying cellular capacity identifies gene expression designs with reduced burden.

Authors:  Francesca Ceroni; Rhys Algar; Guy-Bart Stan; Tom Ellis
Journal:  Nat Methods       Date:  2015-04-06       Impact factor: 28.547

Review 4.  A standard-enabled workflow for synthetic biology.

Authors:  Chris J Myers; Jacob Beal; Thomas E Gorochowski; Hiroyuki Kuwahara; Curtis Madsen; James Alastair McLaughlin; Göksel Mısırlı; Tramy Nguyen; Ernst Oberortner; Meher Samineni; Anil Wipat; Michael Zhang; Zach Zundel
Journal:  Biochem Soc Trans       Date:  2017-06-15       Impact factor: 5.407

5.  Regulatory conservation and divergence of sigma32 homologs from gram-negative bacteria: Serratia marcescens, Proteus mirabilis, Pseudomonas aeruginosa, and Agrobacterium tumefaciens.

Authors:  K Nakahigashi; H Yanagi; T Yura
Journal:  J Bacteriol       Date:  1998-05       Impact factor: 3.490

6.  Empirical model and in vivo characterization of the bacterial response to synthetic gene expression show that ribosome allocation limits growth rate.

Authors:  Javier Carrera; Guillermo Rodrigo; Vijai Singh; Boris Kirov; Alfonso Jaramillo
Journal:  Biotechnol J       Date:  2011-06-16       Impact factor: 4.677

Review 7.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

Review 8.  Ribosome profiling reveals the what, when, where and how of protein synthesis.

Authors:  Gloria A Brar; Jonathan S Weissman
Journal:  Nat Rev Mol Cell Biol       Date:  2015-10-14       Impact factor: 94.444

9.  Tunable protein degradation in bacteria.

Authors:  D Ewen Cameron; James J Collins
Journal:  Nat Biotechnol       Date:  2014-11-17       Impact factor: 54.908

10.  Isocost Lines Describe the Cellular Economy of Genetic Circuits.

Authors:  Andras Gyorgy; José I Jiménez; John Yazbek; Hsin-Ho Huang; Hattie Chung; Ron Weiss; Domitilla Del Vecchio
Journal:  Biophys J       Date:  2015-08-04       Impact factor: 4.033

View more
  70 in total

1.  Prediction of Cellular Burden with Host-Circuit Models.

Authors:  Evangelos-Marios Nikolados; Andrea Y Weiße; Diego A Oyarzún
Journal:  Methods Mol Biol       Date:  2021

2.  A quantitative method for proteome reallocation using minimal regulatory interventions.

Authors:  Gustavo Lastiri-Pancardo; Jonathan S Mercado-Hernández; Juhyun Kim; José I Jiménez; José Utrilla
Journal:  Nat Chem Biol       Date:  2020-07-13       Impact factor: 15.040

3.  Engineering Sensors for Gene Expression Burden.

Authors:  Alice Boo; Francesca Ceroni
Journal:  Methods Mol Biol       Date:  2021

Review 4.  DNA-based memory devices for recording cellular events.

Authors:  Ravi U Sheth; Harris H Wang
Journal:  Nat Rev Genet       Date:  2018-11       Impact factor: 53.242

Review 5.  CRISPR Tools To Control Gene Expression in Bacteria.

Authors:  Antoine Vigouroux; David Bikard
Journal:  Microbiol Mol Biol Rev       Date:  2020-04-01       Impact factor: 11.056

6.  Plasmid expression level heterogeneity monitoring via heterologous eGFP production at the single-cell level in Cupriavidus necator.

Authors:  Catherine Boy; Julie Lesage; Sandrine Alfenore; Nathalie Gorret; Stéphane E Guillouet
Journal:  Appl Microbiol Biotechnol       Date:  2020-05-02       Impact factor: 4.813

7.  A Modelling Framework Linking Resource-Based Stochastic Translation to the Optimal Design of Synthetic Constructs.

Authors:  Peter Sarvari; Duncan Ingram; Guy-Bart Stan
Journal:  Biology (Basel)       Date:  2021-01-07

Review 8.  Synthetic Biological Circuits within an Orthogonal Central Dogma.

Authors:  Alan Costello; Ahmed H Badran
Journal:  Trends Biotechnol       Date:  2020-06-22       Impact factor: 19.536

Review 9.  Understanding and Engineering Distributed Biochemical Pathways in Microbial Communities.

Authors:  Xinyun Cao; Joshua J Hamilton; Ophelia S Venturelli
Journal:  Biochemistry       Date:  2018-11-20       Impact factor: 3.162

10.  Engineered dCas9 with reduced toxicity in bacteria: implications for genetic circuit design.

Authors:  Shuyi Zhang; Christopher A Voigt
Journal:  Nucleic Acids Res       Date:  2018-11-16       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.