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用于筛选和动态调控的基于转录因子的生物传感器。

Transcription factor-based biosensors for screening and dynamic regulation.

作者信息

Tellechea-Luzardo Jonathan, Stiebritz Martin T, Carbonell Pablo

机构信息

Institute of Industrial Control Systems and Computing (AI2), Universitat Politècnica de València (UPV), Valencia, Spain.

Institute for Integrative Systems Biology I2SysBio, Universitat de València-CSIC, Paterna, Spain.

出版信息

Front Bioeng Biotechnol. 2023 Feb 6;11:1118702. doi: 10.3389/fbioe.2023.1118702. eCollection 2023.

Abstract

Advances in synthetic biology and genetic engineering are bringing into the spotlight a wide range of bio-based applications that demand better sensing and control of biological behaviours. Transcription factor (TF)-based biosensors are promising tools that can be used to detect several types of chemical compounds and elicit a response according to the desired application. However, the wider use of this type of device is still hindered by several challenges, which can be addressed by increasing the current metabolite-activated transcription factor knowledge base, developing better methods to identify new transcription factors, and improving the overall workflow for the design of novel biosensor circuits. These improvements are particularly important in the bioproduction field, where researchers need better biosensor-based approaches for screening production-strains and precise dynamic regulation strategies. In this work, we summarize what is currently known about transcription factor-based biosensors, discuss recent experimental and computational approaches targeted at their modification and improvement, and suggest possible future research directions based on two applications: bioproduction screening and dynamic regulation of genetic circuits.

摘要

合成生物学和基因工程的进展使一系列基于生物的应用成为焦点,这些应用需要对生物行为进行更好的传感和控制。基于转录因子(TF)的生物传感器是很有前景的工具,可用于检测多种类型的化合物,并根据所需应用引发反应。然而,这类设备的更广泛应用仍受到若干挑战的阻碍,这些挑战可通过增加当前代谢物激活转录因子知识库、开发更好的方法来鉴定新的转录因子以及改进新型生物传感器电路设计的整体工作流程来解决。这些改进在生物生产领域尤为重要,在该领域,研究人员需要更好的基于生物传感器的方法来筛选生产菌株和精确的动态调控策略。在这项工作中,我们总结了目前对基于转录因子的生物传感器的了解,讨论了针对其修饰和改进近期的实验和计算方法,并基于生物生产筛选和基因电路的动态调控这两种应用提出了未来可能的研究方向。

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