Department of Analytical Chemistry, Nutrition and Food Science, School of Veterinary Sciences, University of Santiago de Compostela, Lugo, Spain.
Electrophoresis. 2012 Jul;33(14):2138-42. doi: 10.1002/elps.201200074.
MALDI-TOF MS has proved to be an accurate, rapid, and cost-effective technique for microbial identification in which the spectral fingerprint of an unknown strain can be compared to a database of spectra from reference strains. Most of the existing databases are private and often costly to access, and little spectral information is shared among researchers. The objective of the present communication is to introduce the SpectraBank database (http://www.spectrabank.org), which provides open access MALDI-TOF mass spectra from a variety of microorganisms. This work aims to familiarize readers with the SpectraBank database, from the sample preparation, data collection, and data analysis to how the spectral reference data can be used for microbial species identification. The database currently includes more than 200 MALDI-TOF MS spectra from more than 70 bacterial species and links to the freely available web-based application SPECLUST (http://bioinfo.thep.lu.se/speclust.html) to allow comparisons of the obtained peak mass lists and evaluate phyloproteomic relationships. The SpectraBank database is intended to be expanded by the addition of new spectra from microbial strains, obtained in our laboratory and by other researchers.
基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）已被证明是一种准确、快速且具有成本效益的微生物鉴定技术，其中未知菌株的光谱指纹可以与参考菌株的光谱数据库进行比较。大多数现有的数据库都是私有的，并且通常难以访问，而且研究人员之间很少共享光谱信息。本研究旨在介绍 SpectraBank 数据库（http://www.spectrabank.org），该数据库提供了来自各种微生物的开放获取 MALDI-TOF 质谱。本工作旨在使读者熟悉 SpectraBank 数据库，从样品制备、数据收集和数据分析到如何使用光谱参考数据进行微生物物种鉴定。该数据库目前包含 70 多种细菌物种的 200 多个 MALDI-TOF MS 光谱，并链接到免费的基于网络的应用程序 SPECLUST（http://bioinfo.thep.lu.se/speclust.html），以允许比较获得的峰质量列表并评估系统发育蛋白质组学关系。SpectraBank 数据库旨在通过添加我们实验室和其他研究人员获得的新的微生物菌株的光谱来扩展。
