Xiao Chufan, Pan Yuyang, Huang Mingtao
School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China.
Eng Microbiol. 2023 Jun 21;3(4):100103. doi: 10.1016/j.engmic.2023.100103. eCollection 2023 Dec.
The metabolic engineering of has great potential for enhancing the production of high-value chemicals and recombinant proteins. Recent studies have demonstrated the effectiveness of dynamic regulation as a strategy for optimizing metabolic flux and improving production efficiency. In this review, we provide an overview of recent advancements in the dynamic regulation of metabolism. Here, we focused on the successful utilization of transcription factor (TF)-based biosensors within the dynamic regulatory network of . These biosensors are responsive to a wide range of endogenous and exogenous signals, including chemical inducers, light, temperature, cell density, intracellular metabolites, and stress. Additionally, we explored the potential of omics tools for the discovery of novel responsive promoters and their roles in fine-tuning metabolic networks. We also provide an outlook on the development trends in this field.
[具体研究对象]的代谢工程在提高高价值化学品和重组蛋白的产量方面具有巨大潜力。最近的研究表明,动态调控作为一种优化代谢通量和提高生产效率的策略是有效的。在本综述中,我们概述了[具体研究对象]代谢动态调控的最新进展。在此,我们重点关注了基于转录因子(TF)的生物传感器在[具体研究对象]动态调控网络中的成功应用。这些生物传感器对广泛的内源性和外源性信号作出响应,包括化学诱导剂、光、温度、细胞密度、细胞内代谢物和应激。此外,我们探讨了组学工具在发现新型响应启动子及其在微调代谢网络中的作用方面的潜力。我们还展望了该领域的发展趋势。