Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors

被引:12
|
作者
Zhou, Gloria J. [1 ]
Zhang, Fuzhong [1 ,2 ,3 ]
机构
[1] Washington Univ, Dept Energy Environm & Chem Engn, St Louis, MO 63130 USA
[2] Washington Univ, Div Biol & Biomed Sci, St Louis, MO 63130 USA
[3] Washington Univ, Inst Mat Sci & Engn, St Louis, MO 63130 USA
来源
BIOSENSORS-BASEL | 2023年 / 13卷 / 04期
基金
美国国家卫生研究院;
关键词
transcription factor; biosensor tuning; biosensor applications; transcriptional control; translational control; high-throughput screening; dynamic regulation; metabolic heterogeneity; TO-CELL VARIATION; ESCHERICHIA-COLI; DYNAMIC-RANGE; BINDING; CIRCUITS; SYNTHASE; PATHWAY; DESIGN; ACID; TIME;
D O I
10.3390/bios13040428
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Transcription factor (TF)-based biosensors are widely used for the detection of metabolites and the regulation of cellular pathways in response to metabolites. Several challenges hinder the direct application of TF-based sensors to new hosts or metabolic pathways, which often requires extensive tuning to achieve the optimal performance. These tuning strategies can involve transcriptional or translational control depending on the parameter of interest. In this review, we highlight recent strategies for engineering TF-based biosensors to obtain the desired performance and discuss additional design considerations that may influence a biosensor's performance. We also examine applications of these sensors and suggest important areas for further work to continue the advancement of small-molecule biosensors.
引用
收藏
页数:14
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