Building synthetic gene circuits from combinatorial libraries: screening and selection strategies

被引:27
作者
Schaerli, Yolanda [1 ,2 ]
Isalan, Mark [1 ,2 ]
机构
[1] CRG, EMBL CRG Syst Biol Res Unit, Barcelona 08003, Spain
[2] UPF, Barcelona 08003, Spain
基金
欧洲研究理事会;
关键词
GREEN FLUORESCENT PROTEIN; DIRECTED EVOLUTION; MICROFLUIDIC TECHNOLOGIES; COMPUTATIONAL DESIGN; DUAL SELECTION; BIOLOGY; EXPRESSION; NETWORKS; CONSTRUCTION; CELLS;
D O I
10.1039/c2mb25483b
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The promise of wide-ranging biotechnology applications inspires synthetic biologists to design novel genetic circuits. However, building such circuits rationally is still not straightforward and often involves painstaking trial-and- error. Mimicking the process of natural selection can help us to bridge the gap between our incomplete understanding of nature's design rules and our desire to build functional networks. By adopting the powerful method of directed evolution, which is usually applied to protein engineering, functional networks can be obtained through screening or selecting from randomised combinatorial libraries. This review first highlights the practical options to introduce combinatorial diversity into gene circuits and then examines strategies for identifying the potentially rare library members with desired functions, either by screening or selection.
引用
收藏
页码:1559 / 1567
页数:9
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