Genetically Encoded Biosensors for Constrained Biological Functions in Probiotic Escherichia coli Nissle

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Shan Jiang, Haofeng Chen, Shiyao Chen, Na Chen, Haofeng Yang, Yiyang Duan, Shiqi Ao, Ruoxi Wang, Xin Wang, Yalin Zhang* and Jifeng Yuan*, 
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Abstract

The probiotic Escherichia coli Nissle (EcN) is an exceptional strain that has attracted significant attention not only for its clinical efficacy in the treatment and prevention of gastrointestinal disorders but also as a burgeoning microbial chassis for living therapeutic applications. However, there is an immediate necessity to develop conditional expression systems that confine the activity of EcN specifically in the gastrointestinal tract, to avoid influencing the environment. Here, we constructed two genetically encoded interchangeable sensors responsive to body temperature at 37 °C, and small molecules such as protocatechuic acid (PCA), a metabolite found in green tea. By employing dCpf1 targeted deactivation of the LacI gene, we thereby coupled the above sensing modules with the Ptrc-lacO system and achieved improved signal outputs and relatively high ON/OFF ratios. Subsequently, we validated the biological function of engineering EcN using the enhanced green fluorescent protein (eGFP) in an animal model of mice. Taken together, the construction of genetically encoded sensors to restrict the biological functions of EcN would be applicable for the real-world implementation of living therapeutics or drug delivery.

Abstract Image

益生菌大肠杆菌鼻中限制生物功能的基因编码生物传感器
益生菌大肠杆菌(EcN)是一种特殊的菌株,不仅因其在治疗和预防胃肠道疾病方面的临床疗效而引起了极大的关注,而且作为一种新兴的微生物底盘,用于生活治疗应用。然而,迫切需要开发条件表达系统,将EcN的活性专门限制在胃肠道中,以避免影响环境。在这里,我们构建了两个基因编码的可互换传感器,对37°C的体温和小分子(如绿茶中的代谢物原儿茶酸(PCA))做出反应。通过dCpf1靶向LacI基因失活,我们将上述传感模块与Ptrc-lacO系统耦合,实现了改善的信号输出和相对较高的开/关比。随后,我们利用增强的绿色荧光蛋白(eGFP)在小鼠动物模型中验证了工程EcN的生物学功能。综上所述,构建基因编码传感器来限制EcN的生物学功能将适用于现实世界的活体治疗或药物输送。
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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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