Literature DB >> 36056198

Developing a dynamic equilibrium system in Escherichia coli to improve the production of recombinant proteins.

Zi-Xu Zhang1, Yu-Zhou Wang1, Fang-Tong Nong1, Yan Xu1, Chao Ye1, Yang Gu1, Xiao-Man Sun2, He Huang1.   

Abstract

The combination of Escherichia coli BL21 (DE3) and the pET expression system is used extensively for the expression of various recombinant proteins (RPs). However, RP overexpression often introduces a growth burden for the host, especially in the case of toxic proteins. The key to solving this problem is to reduce the host burden associated with protein overproduction, which is often achieved by regulating the expression or activity of T7 RNAP or growth-decoupled systems. However, these strategies mainly relieve or interrupt the robbing of host resources, and do not eliminate other types of host burdens in the production process. In this study, we constructed a production system based on a dynamic equilibrium to precisely relieve the host burden and increase the RP production. The system is composed of three modules, including the overexpression of basic growth-related genes (rRNA, RNAP core enzyme, sigma factors), prediction and overexpression of key proteins using the enzyme-constrained model ec_iECBD_1354, and dynamic regulation of growth-related and key protein expression intensity based on a burden-driven promoter. Using this system, the production of many high-burden proteins, including autolysis protein and E. coli membrane proteins, was increased to varying degrees. Among them, the cytosine transporter protein (CodB) was most significantly improved, with a 4.02-fold higher production compared to the wild strain. This system can effectively reduce the optimizing costs, and is suitable for developing various types of RP expression hosts rapidly. KEY POINTS: • The basic growth-related resources can relieve the host burden from recombinant protein. • The enzyme-constrained model can accurately predict key genes to improve yield. • The expression intensity can be dynamically adjusted with changes in burden.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  BL21 (DE3); Burden-driven feedback control; Enzyme-constrained model; Host burden; Recombinant protein production

Mesh:

Substances:

Year:  2022        PMID: 36056198     DOI: 10.1007/s00253-022-12145-0

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   5.560


  46 in total

1.  Green fluorescent protein functions as a reporter for protein localization in Escherichia coli.

Authors:  B J Feilmeier; G Iseminger; D Schroeder; H Webber; G J Phillips
Journal:  J Bacteriol       Date:  2000-07       Impact factor: 3.490

2.  Antagonistic regulation of motility and transcriptome expression by RpoN and RpoS in Escherichia coli.

Authors:  Tao Dong; Rosemary Yu; Herb Schellhorn
Journal:  Mol Microbiol       Date:  2010-11-29       Impact factor: 3.501

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.  Next-Generation Machine Learning for Biological Networks.

Authors:  Diogo M Camacho; Katherine M Collins; Rani K Powers; James C Costello; James J Collins
Journal:  Cell       Date:  2018-06-07       Impact factor: 41.582

5.  Dynamic Blue Light-Inducible T7 RNA Polymerases (Opto-T7RNAPs) for Precise Spatiotemporal Gene Expression Control.

Authors:  Armin Baumschlager; Stephanie K Aoki; Mustafa Khammash
Journal:  ACS Synth Biol       Date:  2017-10-18       Impact factor: 5.110

6.  Burden-driven feedback control of gene expression.

Authors:  Francesca Ceroni; Alice Boo; Simone Furini; Thomas E Gorochowski; Olivier Borkowski; Yaseen N Ladak; Ali R Awan; Charlie Gilbert; Guy-Bart Stan; Tom Ellis
Journal:  Nat Methods       Date:  2018-03-26       Impact factor: 28.547

7.  Highly Reversible Tunable Thermal-Repressible Split-T7 RNA Polymerases (Thermal-T7RNAPs) for Dynamic Gene Regulation.

Authors:  Wai Kit David Chee; Jing Wui Yeoh; Viet Linh Dao; Chueh Loo Poh
Journal:  ACS Synth Biol       Date:  2022-01-28       Impact factor: 5.110

8.  Improved poly-γ-glutamic acid production in Bacillus amyloliquefaciens by modular pathway engineering.

Authors:  Jun Feng; Yanyan Gu; Yufen Quan; Mingfeng Cao; Weixia Gao; Wei Zhang; Shufang Wang; Chao Yang; Cunjiang Song
Journal:  Metab Eng       Date:  2015-09-26       Impact factor: 9.783

9.  Enhanced production of insulin-like growth factor I fusion protein in Escherichia coli by coexpression of the down-regulated genes identified by transcriptome profiling.

Authors:  Jong Hyun Choi; Sang Jun Lee; Seok Jae Lee; Sang Yup Lee
Journal:  Appl Environ Microbiol       Date:  2003-08       Impact factor: 4.792

10.  Dissecting specific and global transcriptional regulation of bacterial gene expression.

Authors:  Luca Gerosa; Karl Kochanowski; Matthias Heinemann; Uwe Sauer
Journal:  Mol Syst Biol       Date:  2013-04-16       Impact factor: 11.429

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