Suppr超能文献

利用噬菌体细胞壁结合蛋白进行李斯特菌的快速诊断。

Use of bacteriophage cell wall-binding proteins for rapid diagnostics of Listeria.

作者信息

Schmelcher Mathias, Loessner Martin J

机构信息

Institute of Food, Nutrition and Health, ETH Zurich, Schmelzbergstrasse 7, CH-8092, Zurich, Switzerland.

出版信息

Methods Mol Biol. 2014;1157:141-56. doi: 10.1007/978-1-4939-0703-8_12.

Abstract

Diagnostic protocols for food-borne bacterial pathogens such as Listeria need to be sensitive, specific, rapid, and inexpensive. Conventional culture methods are hampered by lengthy enrichment and incubation steps. Bacteriophage-derived high-affinity binding molecules (cell wall-binding domains, CBDs) specific for Listeria cells have recently been introduced as tools for detection and differentiation of this pathogen in foods. When coupled with magnetic separation, these proteins offer advantages in sensitivity and speed compared to the standard diagnostic methods. Furthermore, fusion of CBDs to differently colored fluorescent reporter proteins enables differentiation of Listeria strains in mixed cultures. This chapter provides protocols for detection of Listeria in food by CBD-based magnetic separation and subsequent multiplexed identification of strains of different serotypes with reporter-CBD fusion proteins.

摘要

针对食源性病原体(如李斯特菌)的诊断方案需要具备灵敏、特异、快速且成本低廉的特点。传统培养方法因富集和培养步骤冗长而受到限制。最近,已引入对李斯特菌细胞具有特异性的噬菌体衍生高亲和力结合分子(细胞壁结合结构域,CBDs)作为检测和区分食品中该病原体的工具。与标准诊断方法相比,当与磁分离相结合时,这些蛋白质在灵敏度和速度方面具有优势。此外,将CBDs与不同颜色的荧光报告蛋白融合能够区分混合培养物中的李斯特菌菌株。本章提供了基于CBDs磁分离检测食品中李斯特菌以及随后使用报告蛋白-CBD融合蛋白对不同血清型菌株进行多重鉴定的方案。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验