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用于高通量筛选化学物质的基因编码生物传感器的设计和优化。

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

机构信息

Department of Chemical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk 37673, Republic of Korea.

School of Chemical and Biological Engineering, Institute of Chemical Process, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul 08826, Republic of Korea.

出版信息

Curr Opin Biotechnol. 2018 Dec;54:18-25. doi: 10.1016/j.copbio.2018.01.011. Epub 2018 Feb 3.

DOI:10.1016/j.copbio.2018.01.011
PMID:29413747
Abstract

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.

摘要

为了生产代谢物,微生物的进化工程需要高效的筛选方法来测试庞大的突变文库。遗传编码的生物传感器因其广泛的可检测配体和对高通量筛选和选择的广泛适用性而被认为是很有前途的筛选设备。在这里,我们综述了用于高通量筛选化学物质的生物传感器的设计和优化的最新进展。首先,我们总结了生物传感器的遗传部件以及它们的发现和开发策略。接下来,我们解释了与高通量筛选相关的生物传感器的特性。最后,我们描述了各种调整生物传感器以满足有效筛选要求的方法。

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