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寻找最佳微生物工厂:高通量生物传感器和分析技术用于筛选小分子。

Searching for the optimal microbial factory: high-throughput biosensors and analytical techniques for screening small molecules.

机构信息

Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK.

Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK.

出版信息

Curr Opin Biotechnol. 2024 Jun;87:103125. doi: 10.1016/j.copbio.2024.103125. Epub 2024 Mar 27.

Abstract

High-throughput screening technologies have been lacking in comparison to the plethora of high-throughput genetic diversification techniques developed in biotechnology. This review explores the challenges and advancements in high-throughput screening for high-value natural products, focusing on the critical need to expand ligand targets for biosensors and increase the throughput of analytical techniques in screening microbial cell libraries for optimal strain performance. The engineering techniques to broaden the scope of ligands for biosensors, such as transcription factors, G protein-coupled receptors and riboswitches are discussed. On the other hand, integration of microfluidics with traditional analytical methods is explored, covering fluorescence-activated cell sorting, Raman-activated cell sorting and mass spectrometry, emphasising recent developments in maximising throughput.

摘要

与生物技术中大量开发的高通量遗传多样化技术相比,高通量筛选技术一直缺乏。本综述探讨了高通量筛选高价值天然产物的挑战和进展,重点是迫切需要扩大生物传感器的配体靶标,并提高筛选微生物细胞文库以获得最佳菌株性能的分析技术的通量。讨论了拓宽生物传感器配体范围的工程技术,如转录因子、G 蛋白偶联受体和核糖开关。另一方面,还探讨了微流控与传统分析方法的集成,涵盖了荧光激活细胞分选、拉曼激活细胞分选和质谱分析,强调了最大限度提高通量的最新发展。

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