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利用表面增强激光解吸电离质谱和多变量数据分析鉴别土拉热弗朗西斯菌亚种

Discrimination of Francisella tularensis subspecies using surface enhanced laser desorption ionization mass spectrometry and multivariate data analysis.

作者信息

Lundquist Margaretha, Caspersen Mikael B, Wikström Per, Forsman Mats

机构信息

Swedish Defence Research Agency, Department of NBC-analysis, 901 82, Umeå, Sweden.

出版信息

FEMS Microbiol Lett. 2005 Feb 1;243(1):303-10. doi: 10.1016/j.femsle.2004.12.020.

Abstract

Francisella tularensis causes the zoonotic disease tularemia, and is considered a potential bioterrorist agent due to its extremely low infection dose and potential for airborne transmission. Presently, F. tularensis is divided into four subspecies; tularensis, holarctica, mediasiatica and novicida. Phenotypic discrimination of the closely related subspecies with traditional methods is difficult and tedious. Furthermore, the results may be vague and they often need to be complemented with virulence tests in animals. Here, we have used surface enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) to discriminate between the four subspecies of F. tularensis. The method is based on the differential binding of protein subsets to chemically modified surfaces. Bacterial thermolysates were added to anionic, cationic, and copper ion-loaded immobilized metal affinity SELDI chip surfaces. After binding, washing, and SELDI-TOF-MS different protein profiles were obtained. The spectra generated from the different surfaces were then used to characterize each bacterial strain. The results showed that the method was reproducible, with an average intensity variation of 21%, and that the mass precision was good (300-450 ppm). Moreover, in subsequent cluster analysis and principal component analysis (PCA) data for the analyzed Francisella strains grouped according to the recognized subspecies. Partial least squares-discriminant analysis (PLS-DA) of the protein profiles also identified proteins that differed between the strains. Thus, the protein profiling approach based on SELDI-TOF-MS holds great promise for rapid high-resolution phenotypic identification of bacteria.

摘要

土拉弗朗西斯菌可引发人畜共患疾病兔热病,因其极低的感染剂量及空气传播的可能性,被视为一种潜在的生物恐怖主义制剂。目前,土拉弗朗西斯菌分为四个亚种:土拉亚种、全北区亚种、中亚亚种和新凶手亚种。用传统方法对亲缘关系密切的亚种进行表型鉴别既困难又繁琐。此外,结果可能不明确,往往还需要通过动物毒力试验加以补充。在此,我们利用表面增强激光解吸电离飞行时间质谱(SELDI-TOF-MS)对土拉弗朗西斯菌的四个亚种进行鉴别。该方法基于蛋白质亚群与化学修饰表面的差异结合。将细菌热解产物添加到阴离子、阳离子和负载铜离子的固定化金属亲和SELDI芯片表面。结合、洗涤后,通过SELDI-TOF-MS获得不同的蛋白质谱。然后利用不同表面产生的光谱对每个细菌菌株进行表征。结果表明,该方法具有可重复性,平均强度变化为21%,质量精度良好(300 - 450 ppm)。此外,在随后的聚类分析和主成分分析(PCA)中,所分析的弗朗西斯菌菌株的数据根据公认的亚种进行分组。对蛋白质谱的偏最小二乘判别分析(PLS-DA)也鉴定出了菌株之间存在差异的蛋白质。因此,基于SELDI-TOF-MS的蛋白质谱分析方法在细菌的快速高分辨率表型鉴定方面具有很大的前景。

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