Design and optimization of genetically encoded biosensors for high-throughput screening of chemicals

被引:58
|
作者
Lim, Hyun Gyu [1 ]
Jang, Sungho [1 ]
Jang, Sungyeon [1 ]
Seo, Sang Woo [2 ]
Jung, Gyoo Yeol [1 ,3 ]
机构
[1] Pohang Univ Sci & Technol, Dept Chem Engn, 77 Cheongam Ro, Pohang 37673, Gyeongbuk, South Korea
[2] Seoul Natl Univ, Inst Chem Proc, Sch Chem & Biol Engn, 1 Gwanak Ro, Seoul 08826, South Korea
[3] Pohang Univ Sci & Technol, Sch Interdisciplinary Biosci & Bioengn, 77 Cheongam Ro, Pohang 37673, Gyeongbuk, South Korea
基金
新加坡国家研究基金会;
关键词
INDUCIBLE GENE-EXPRESSION; COMPUTATIONAL DESIGN; REGULATOR SYSTEM; EVOLUTION; PATHWAY; RECOGNITION; PRINCIPLES;
D O I
10.1016/j.copbio.2018.01.011
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Evolutionary engineering of microbes for the production of metabolites requires efficient screening methods to test vast mutant libraries. Genetically encoded biosensors are regarded as promising screening devices owing to their wide range of detectable ligands and great applicability to high-throughput screening and selection. Here, we reviewed the current progress in design and optimization of biosensors for high throughput screening of chemicals. First, we summarized genetic parts of biosensors and strategies for their discovery and development. Next, we explained the properties of biosensors that are relevant to high-throughput screening. Finally, we described various methods for tuning biosensors to fulfill requirements of an efficient screening.
引用
收藏
页码:18 / 25
页数:8
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