Explanatory signal interpretation and metabolite identification strategies for nominal mass FIE-MS metabolite fingerprints

David Patrick Overy, David Pierre Louis Enot, Kathleen Tailliart, Helen Ann Jenkins, David A Parker, Manfred Beckmann, John Draper

Research output: Contribution to journalArticlepeer-review

39 Citations (SciVal)

Abstract

Flow injection electrospray mass spectrometry (FIE-MS) metabolite fingerprinting is widely used as a 'first pass' screen for compositional differences, where discrimination between samples can be achieved without any preconceptions. Powerful data analysis algorithms can be used to select and rank FIE-MS fingerprint variables highly explanatory of the biological problem under investigation. We describe how to create a species-specific FIE-MS/MSn metabolite database and how to then query the database to predict the identity of highly significant variables within FIE-MS fingerprints. The protocol details how to interpret m/z signals within the explanatory variable list based on a correlation analysis in conjunction with an investigation of mathematical relationships regarding (de) protonated molecular ions, salt adducts, neutral losses and dimeric associations routinely observed in FIE-MS fingerprints. Although designed for use by biologists/analytical chemists, collaboration with data-mining experts is generally advised. The protocol is applicable in any areas of bioscience research involving FIE-MS fingerprinting
Original languageEnglish
Pages (from-to)471-485
Number of pages15
JournalNature Protocols
Volume3
DOIs
Publication statusPublished - 28 Feb 2008

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