基于转录因子的生物传感器在细胞工厂高通量筛选中的研究进展与展望

Changfan Li, Chang Wang, Jiang Zhu, Feng Xue, Xiaoman Sun, Yang Gu
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引用次数: 3

摘要

非/半合理的工程策略可以提高微生物细胞工厂在代谢调控和相互作用不明确的情况下的性能。然而,通过这些策略产生积极变体的可能性非常低。使用传统的筛选方法来评估突变体的性能,如质谱法和色谱法,是低通量、慢检测和劳动密集型的。具体而言,菌株筛选的高通量筛选(HTS)效率可达到103 ~ 106株/天,弥合了非/半合理工程策略与微生物细胞工厂建设之间的差距。本文综述了基于转录因子的生物传感器在HTS合成生物传感器的研究进展。我们希望这一综述有助于充分利用有价值的TFs来指导高温超导技术,促进其发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advances and prospects of transcription-factor-based biosensors in high-throughput screening for cell factories construction

Advances and prospects of transcription-factor-based biosensors in high-throughput screening for cell factories construction

Non/semi-rational engineering strategies can improve the performance of microbial cell factories under the situations of indistinct metabolic regulations and interactions. However, generating positive variants through these strategies is remarkably low. Using traditional screening methods to evaluate the performance of mutants, such as mass spectrometry and chromatography, is low-throughput, slow-detection, and labor-intensive. Specifically, the efficiency of high-throughput screening (HTS) for strain screening could reach even more 103−106 strains/day, bridging the gap between non/semi-rational engineering strategies and microbial cell factories construction. This review highlights transcription factor (TFs)-based biosensors in the advances in developing synthetic biosensors for HTS. We hope that this review will help take full advantage of valuable TFs to guide the HTS technology and promote its development.

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