Engineering Adhesion of the Probiotic Strain Escherichia coli Nissle to the Fungal Pathogen Candida albicans

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Alexandre Chamas*, Carl-Magnus Svensson, Carla Maneira, Marta Sporniak, Marc Thilo Figge and Gerald Lackner, 
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引用次数: 0

Abstract

Engineering live biotherapeutic products against fungal pathogens such as Candida albicans has been suggested as a means to tackle the increasing threat of fungal infections and the development of resistance to classical antifungal treatments. One important challenge in the design of live therapeutics is to control their localization inside the human body. The specific binding capability to target organisms or tissues would greatly increase their effectiveness by increasing the local concentration of effector molecules at the site of infection. In this study, we utilized surface display of carbohydrate binding domains to enable the probiotic E. coli Nissle 1917 to adhere specifically to the pathogenic yeast Candida albicans. Binding was quantified using a newly developed method based on the automated analysis of microscopic images. In addition to a rationally selected chitin binding domain, a synthetic peptide of identical length but distinct sequence also conferred binding. Efficient binding was specific to fungal hyphae, the invasive form of C. albicans, while the yeast form, as well as abiotic cellulose and PET particles, was only weakly recognized.

益生菌大肠杆菌与白色念珠菌的工程黏附
针对真菌病原体(如白色念珠菌)的工程活生物治疗产品已被建议作为解决真菌感染日益增加的威胁和对经典抗真菌治疗的耐药性的一种手段。设计活体疗法的一个重要挑战是控制其在人体内的定位。对目标生物或组织的特异性结合能力将通过增加感染部位效应分子的局部浓度大大提高其有效性。在这项研究中,我们利用碳水化合物结合结构域的表面展示,使益生菌e.c oli Nissle 1917能够特异性地粘附在致病性白色念珠菌上。结合使用一种基于显微图像自动分析的新方法进行量化。除了合理选择甲壳素结合结构域外,还可合成长度相同但序列不同的肽。有效结合是真菌菌丝(白色念珠菌的入侵形式)所特有的,而酵母形式以及非生物纤维素和PET颗粒仅被弱识别。
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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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