微生物动态调控工具:设计、应用和前景。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-07-18 Epub Date: 2025-06-24 DOI:10.1021/acssynbio.5c00219
Haibin Qin, Junping Zhou, Aiping Pang, Lianggang Huang, Zhiqiang Liu, Yuguo Zheng
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引用次数: 0

摘要

建立高效的微生物细胞工厂来生产功能性保健品、药品、生物燃料和化学产品需要精确的调节来适应关键的酶和途径模块。动态调控策略是实现平衡细胞生长和代谢物生产的一种有前途和有效的方法。动态监管工具作为监管策略的执行者,通常需要合理设计修改策略,以提供质量可靠的工具库。本文介绍了DNA水平(转录水平)、RNA水平(转录后和翻译水平)和蛋白质水平(翻译后)的典型动态调控工具。强调了每种工具的调节机制和设计修改策略。随后,总结了应用调控工具构建代谢途径动态调控网络的策略。最后,讨论了当前动态监管工具的局限性,并展望了未来的发展趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microbial Dynamic Regulatory Tools: Design, Applications, and Prospects.

Establishing efficient microbial cell factories for the production of functional nutraceuticals, pharmaceuticals, biofuels, and chemical products requires precise regulation to adapt key enzymes and pathway modules. Dynamic regulatory strategies are a promising and effective approach to achieve balanced cell growth and metabolite production. Dynamic regulatory tools, as the executors of regulatory strategies, usually require rationally designed modification strategies to provide libraries of tools with reliable quality. Here, typical dynamic regulatory tools at the DNA level (transcriptional level), the RNA level (post-transcriptional and translational level), and the protein level (post-translational) are presented. The regulatory mechanisms and design modification strategies of each tool are highlighted. Subsequently, strategies for applying regulatory tools to construct dynamic regulatory networks of metabolic pathways are summarized. Finally, the limitations of current dynamic regulatory tools are discussed and future trends are outlooked.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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