Literature DB >> 20140658

Integration of systems biology with bioprocess engineering: L: -threonine production by systems metabolic engineering of Escherichia coli.

Sang Yup Lee1, Jin Hwan Park.   

Abstract

Random mutation and selection or targeted metabolic engineering without consideration of its impact on the entire metabolic and regulatory networks can unintentionally cause genetic alterations in the region, which is not directly related to the target metabolite. This is one of the reasons why strategies for developing industrial strains are now shifted towards targeted metabolic engineering based on systems biology, which is termed systems metabolic engineering. Using systems metabolic engineering strategies, all the metabolic engineering works are conducted in systems biology framework, whereby entire metabolic and regulatory networks are thoroughly considered in an integrated manner. The targets for purposeful engineering are selected after all possible effects on the entire metabolic and regulatory networks are thoroughly considered. Finally, the strain, which is capable of producing the target metabolite to a high level close to the theoretical maximum value, can be constructed. Here we review strategies and applications of systems biology successfully implemented on bioprocess engineering, with particular focus on developing L: -threonine production strains of Escherichia coli.

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Year:  2010        PMID: 20140658     DOI: 10.1007/10_2009_57

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


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3.  Improved production of L-threonine in Escherichia coli by use of a DNA scaffold system.

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5.  Developing a high-throughput screening method for threonine overproduction based on an artificial promoter.

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6.  Decreased Rhamnose Metabolic Flux Improved Production of Target Proteins and Cell Flocculation in Pichia pastoris.

Authors:  Chengliang Yan; Xinxin Xu; Xue Zhang; Yuwei Zhang; Yuhong Zhang; Zhifang Zhang; Wei Zhang; Bo Liu
Journal:  Front Microbiol       Date:  2018-08-02       Impact factor: 5.640

  6 in total

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