A quantitative interpretation of oxidative protein folding activity in Escherichia coli

Microbial Cell Factories

Research

Lukas A. Rettenbacher¹  Tobias von der Haar¹ 

[1] Division of Natural Sciences, School of Biosciences, University of Kent, Canterbury, UK;

关键词: Escherichia coli;    Disulfide bond formation;    Oxidative folding;    Disulfide proteome;    Kinetic modelling;    Systems biology;    Recombinant protein production;   

DOI  :  10.1186/s12934-022-01982-3

 received in 2022-10-24, accepted in 2022-12-05,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundEscherichia coli is of central interest to biotechnological research and a widely used organism for producing proteins at both lab and industrial scales. However, many proteins remain difficult to produce efficiently in E. coli. This is particularly true for proteins that require post translational modifications such as disulfide bonds.ResultsIn this study we develop a novel approach for quantitatively investigating the ability of E. coli to produce disulfide bonds in its own proteome. We summarise the existing knowledge of the E. coli disulfide proteome and use this information to investigate the demand on this organism’s quantitative oxidative folding apparatus under different growth conditions. Furthermore, we built an ordinary differential equation-based model describing the cells oxidative folding capabilities. We use the model to infer the kinetic parameters required by the cell to achieve the observed oxidative folding requirements. We find that the cellular requirement for disulfide bonded proteins changes significantly between growth conditions. Fast growing cells require most of their oxidative folding capabilities to keep up their proteome while cells growing in chemostats appear limited by their disulfide bond isomerisation capacities.ConclusionThis study establishes a novel approach for investigating the oxidative folding capacities of an organism. We show the capabilities and limitations of E. coli for producing disulfide bonds under different growth conditions and predict under what conditions excess capability is available for recombinant protein production.

【 授权许可】

CC BY   
© The Author(s) 2022

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