Literature DB >> 23417805

Customized optimization of metabolic pathways by combinatorial transcriptional engineering.

Yongbo Yuan1, Jing Du, Huimin Zhao.   

Abstract

Introduction of a heterologous metabolic pathway into a platform microorganism for applications in metabolic engineering and synthetic biology is often technically straightforward. However, the major challenge is to balance the flux in the pathway to obtain high yield and productivity in a target microorganism. To address this limitation, we recently developed a simple, efficient, and programmable approach named "customized optimization of metabolic pathways by combinatorial transcriptional engineering" (COMPACTER) for balancing the flux in a pathway under distinct metabolic backgrounds. Here we use two examples including a cellobiose-utilizing pathway and a xylose-utilizing pathway to illustrate the key steps in the COMPACTER method.

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Year:  2013        PMID: 23417805     DOI: 10.1007/978-1-62703-299-5_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

Review 1.  DNA assembly techniques for next-generation combinatorial biosynthesis of natural products.

Authors:  Ryan E Cobb; Jonathan C Ning; Huimin Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2013-10-15       Impact factor: 3.346

Review 2.  Recent advances in DNA assembly technologies.

Authors:  Ran Chao; Yongbo Yuan; Huimin Zhao
Journal:  FEMS Yeast Res       Date:  2015-01-14       Impact factor: 2.796

3.  Simulation Modeling to Compare High-Throughput, Low-Iteration Optimization Strategies for Metabolic Engineering.

Authors:  Stephen C Heinsch; Siba R Das; Michael J Smanski
Journal:  Front Microbiol       Date:  2018-02-27       Impact factor: 5.640

4.  Endogenous lycopene improves ethanol production under acetic acid stress in Saccharomyces cerevisiae.

Authors:  Shuo Pan; Bin Jia; Hong Liu; Zhen Wang; Meng-Zhe Chai; Ming-Zhu Ding; Xiao Zhou; Xia Li; Chun Li; Bing-Zhi Li; Ying-Jin Yuan
Journal:  Biotechnol Biofuels       Date:  2018-04-10       Impact factor: 6.040

  4 in total

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