{"title":"Genetically Encoded Biosensors for Constrained Biological Functions in Probiotic <i>Escherichia coli</i> Nissle.","authors":"Shan Jiang, Haofeng Chen, Shiyao Chen, Na Chen, Haofeng Yang, Yiyang Duan, Shiqi Ao, Ruoxi Wang, Xin Wang, Yalin Zhang, Jifeng Yuan","doi":"10.1021/acssynbio.4c00747","DOIUrl":null,"url":null,"abstract":"<p><p>The probiotic <i>Escherichia coli</i> 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 <i>LacI</i> gene, we thereby coupled the above sensing modules with the P<sub>trc</sub>-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.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.4c00747","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
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.
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.