Suppr超能文献

基于质谱的蛋白质组学的细菌株水平分型和鉴定。

Strain-level typing and identification of bacteria using mass spectrometry-based proteomics.

机构信息

Nanoxis AB, Lennart Torstenssonsgatan 5, SE-40016, Gothenburg, Sweden.

出版信息

J Proteome Res. 2012 May 4;11(5):2710-20. doi: 10.1021/pr2010633. Epub 2012 Apr 11.

Abstract

Because of the alarming expansion in the diversity and occurrence of bacteria displaying virulence and resistance to antimicrobial agents, it is increasingly important to be able to detect these microorganisms and to differentiate and identify closely related species, as well as different strains of a given species. In this study, a mass spectrometry proteomics approach is applied, exploiting lipid-based protein immobilization (LPI), wherein intact bacterial cells are bound, via membrane-gold interactions, within a FlowCell. The bound cells are subjected to enzymatic digestion for the generation of peptides, which are subsequently identified, using LC-MS. Following database matching, strain-specific peptides are used for subspecies-level discrimination. The method is shown to enable a reliable typing and identification of closely related strains of the same bacterial species, herein illustrated for Helicobacter pylori .

摘要

由于具有毒力和抗抗菌药物抗性的细菌的多样性和出现呈惊人的增长,因此能够检测这些微生物并区分和鉴定密切相关的物种以及给定物种的不同菌株变得越来越重要。在这项研究中,应用了一种质谱蛋白质组学方法,利用基于脂质的蛋白质固定化(LPI),其中完整的细菌细胞通过膜金相互作用结合在流池内。结合的细胞进行酶消化以生成肽,然后使用 LC-MS 进行鉴定。通过数据库匹配,使用亚种水平的区分来鉴定种内特定的肽。该方法被证明能够可靠地区分和鉴定相同细菌物种的密切相关菌株,本文以幽门螺杆菌为例进行了说明。

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