Synthetic promoter design for new microbial chassis

被引:42
|
作者
Gilman, James [1 ]
Love, John [1 ]
机构
[1] Univ Exeter, Coll Life & Environm Sci, Biosci, Stocker Rd, Exeter EX4 4QD, Devon, England
关键词
artificial neural networks; partial least squares modelling; promoter; synthetic biology; systems biology; HIGH-LEVEL EXPRESSION; ESCHERICHIA-COLI PROMOTERS; TUNING GENETIC-CONTROL; P-BAD PROMOTER; SACCHAROMYCES-CEREVISIAE; CORYNEBACTERIUM-GLUTAMICUM; BACTERIAL PROMOTERS; ARABAD PROMOTER; TRANSCRIPTIONAL REGULATION; BACTERIOPHAGE-LAMBDA;
D O I
10.1042/BST20160042
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 judicious choice of promoter to drive gene expression remains one of the most important considerations for synthetic biology applications. Constitutive promoter sequences isolated from nature are often used in laboratory settings or small-scale commercial production streams, but unconventional microbial chassis for new synthetic biology applications require well-characterized, robust and orthogonal promoters. This review provides an overview of the opportunities and challenges for synthetic promoter discovery and design, including molecular methodologies, such as saturation mutagenesis of flanking regions and mutagenesis by error-prone PCR, as well as the less familiar use of computational and statistical analyses for de novo promoter design.
引用
收藏
页码:731 / 737
页数:7
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