GC-MS libraries for the identification of metabolites in complex biological samples

Nicolas Schauer, Dirk Steinhauser, Sergej Strelkov, Dietmar Schomburg, Gordon G. Allison, Thomas Moritz, Krister Lundgren, Ute Roessner-Tunali, Megan Forbes, Lothar Willmitzer, Alisdair R. Fernie, Joachim Kopka

Research output: Contribution to journalArticlepeer-review

535 Citations (SciVal)

Abstract

Gas chromatography–mass spectrometry based metabolite profiling of biological samples is rapidly becoming one of the cornerstones of functional genomics and systems biology. Thus, the technology needs to be available to many laboratories and open exchange of information is required such as those achieved for transcript and protein data. The key-step in metabolite profiling is the unambiguous identification of metabolites in highly complex metabolite preparations with composite structure. Collections of mass spectra, which comprise frequently observed identified and non-identified metabolites, represent the most effective means to pool the identification efforts currently performed in many laboratories around the world. Here, we describe a platform for mass spectral and retention time index libraries that will enable this process (MSRI; www.csbdb.mpimp-golm.mpg.de/gmd.html). This resource should ameliorate many of the problems that each laboratory will face both for the initial establishment of metabolome analysis and for its maintenance at a constant sample throughput.
Original languageEnglish
Pages (from-to)1332-1337
Number of pages6
JournalFEBS Letters
Volume579
Issue number6
Early online date28 Jan 2005
DOIs
Publication statusPublished - 28 Feb 2005

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