编程益生菌:工程布拉氏酵母菌的饮食反应基因表达和定殖控制。

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Deniz Durmusoglu, Daniel J. Haller, Ibrahim S. Al’Abri, Katie Day, Carmen Sands, Andrew Clark, Adriana San-Miguel, Ruben Vazquez-Uribe, Morten O. A. Sommer and Nathan C. Crook*, 
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引用次数: 0

摘要

布拉氏酵母菌(Sb)是向哺乳动物肠道输送生物大分子的新兴益生菌基质,作为唯一的真核益生菌具有独特的优势。然而,对 Sb 中基因表达和肠道停留时间的精确控制仍具有挑战性。为了解决这个问题,我们开发了五个配体响应基因表达系统,并修复了 Sb 中的半乳糖代谢,使该菌株中的诱导型基因表达成为可能。通过对这些系统进行工程改造,我们构建了 AND 逻辑门,控制了蛋白质的表面显示,并开启了小鼠肠道中的蛋白质生产,以对饮食中的糖分做出反应。此外,修复半乳糖代谢扩大了 Sb 在肠道内的栖息地,并导致对肠道停留时间的半乳糖响应控制。这项研究通过控制 Sb 在体内的基因表达水平和在胃肠道内的定位,为通过 Sb 进行精确剂量治疗开辟了新途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Programming Probiotics: Diet-Responsive Gene Expression and Colonization Control in Engineered S. boulardii

Programming Probiotics: Diet-Responsive Gene Expression and Colonization Control in Engineered S. boulardii

Programming Probiotics: Diet-Responsive Gene Expression and Colonization Control in Engineered S. boulardii

Saccharomyces boulardii (Sb) is an emerging probiotic chassis for delivering biomolecules to the mammalian gut, offering unique advantages as the only eukaryotic probiotic. However, precise control over gene expression and gut residence time in Sb have remained challenging. To address this, we developed five ligand-responsive gene expression systems and repaired galactose metabolism in Sb, enabling inducible gene expression in this strain. Engineering these systems allowed us to construct AND logic gates, control the surface display of proteins, and turn on protein production in the mouse gut in response to dietary sugar. Additionally, repairing galactose metabolism expanded Sb’s habitat within the intestines and resulted in galactose-responsive control over gut residence time. This work opens new avenues for precise dosing of therapeutics by Sb via control over its in vivo gene expression levels and localization within the gastrointestinal tract.

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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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