Bacterial Identification by Protein Mass Mapping Combined with an Experimentally Derived Protein Mass Database

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• 作者：Lidan Tao ; Xinlei Yu ; A. Peter Snyder ; and Liang Li
• 刊名：Analytical Chemistry
• 出版年：2004
• 出版时间：November 15, 2004
• 年：2004
• 卷：76
• 期：22
• 页码：6609 - 6617
• 全文大小：534K
• 年卷期：v.76,no.22(November 15, 2004)
• ISSN：1520-6882

文摘

A protein mass mapping approach using mass spectrometry (MS) combined with an experimentally derived protein mass database is presented for rapid and effectiveidentification of bacterial species. A prototype massdatabase from the protein extracts of nine bacterialspecies has been created by off-line high-performanceliquid chromatography (HPLC) matrix-assisted laser desorption/ionization (MALDI) MS, in which the microbiological parameter of bacterial growth time is considered.A numerical method using a statistical weight factoralgorithm is devised for matching the protein masses ofan unknown bacterial sample against the database. Thesum of these weight factors produces a correspondingsummed weight factor score for each bacterial specieslisted in the database, and the database species producingthe highest score represents the identity of the respectiveunknown bacterium. The applicability and reliability ofthis protein mass mapping approach has been tested withseven bacterial species in a single-blind study by bothdirect MALDI MS and HPLC electrospray ionization MSmethods, and identification results with 100% accuracyare obtained. Our studies have demonstrated that theprotein mass database can be rapidly established andreadily adopted with relatively less dependency on experimental factors. Furthermore, it is shown that anumber of proteins can be detected using a proteinsample amount equivalent to an extract of less than 1000cells, demonstrating that this protein mass mappingapproach can potentially be highly sensitive for rapidbacterial identification.