Development of a Quorum Sensing-Mediated Bacterial Autolytic System in Escherichia coli for Automatic Release of Intracellular Products

IF 3.7 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-06-11 DOI:10.1021/acssynbio.4c00084

Xiaofei Song, Yifan Zhao, Yixuan Ren, Ruoyu Liu, Mengting Zhang, Zhikai Zhang, Qiu Meng, Tingheng Zhu, Jianhua Yin and Zhiliang Yu*,

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Abstract

Escherichia coli, one of the most efficient expression hosts for recombinant proteins, is widely used in chemical, medical, food, and other industries. De novo engineering of gene regulation circuits and cell density-controlled E. coli cell lysis are promising directions for the release of intracellular bioproducts. Here, we developed an E. coli autolytic system, named the quorum sensing-mediated bacterial autolytic (QS-BA) system, by incorporating an acyl-homoserine lactone (AHL)-based YasI/YasR-type quorum sensing circuit from Pseudoalteromonas into E. coli cells. The results showed that the E. coli QS-BA system can release the intracellular bioproducts into the cell culture medium in terms of E. coli cell density, which offers an environmentally-friendly, economical, efficient, and flexible E. coli lysis platform for production of recombinant proteins. The QS-BA system has the potential to serve as an integrated system for the large-scale production of target products in E. coli for medical and industrial applications.

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在大肠杆菌中开发由法定量感应介导的细菌自溶系统，以自动释放胞内产物。

大肠杆菌是重组蛋白质最有效的表达宿主之一，广泛应用于化学、医疗、食品和其他行业。基因调控回路的全新工程和细胞密度控制的大肠杆菌细胞裂解是释放胞内生物产品的有前途的方向。在这里，我们通过将来自假交替单胞菌的基于酰基高丝氨酸内酯（AHL）的YasI/YasR型法定量感应电路整合到大肠杆菌细胞中，开发了一种大肠杆菌自溶系统，命名为法定量感应介导的细菌自溶（QS-BA）系统。结果表明，就大肠杆菌细胞密度而言，大肠杆菌 QS-BA 系统能将胞内生物产物释放到细胞培养基中，为生产重组蛋白提供了一个环保、经济、高效、灵活的大肠杆菌裂解平台。QS-BA 系统有可能成为在大肠杆菌中大规模生产目标产品的集成系统，用于医疗和工业应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Synthetic Biology 生物-

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.