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

Nicolas Schauer(Max Planck Institute of Molecular Plant Physiology), Dirk Steinhauser(Max Planck Institute of Molecular Plant Physiology), Sergej Strelkov(University of Cologne), Dietmar Schomburg(University of Cologne), Gordon Allison(Aberystwyth University), Thomas Möritz(Swedish University of Agricultural Sciences), Krister Lundgren(Swedish University of Agricultural Sciences), Ute Roessner(Australian Centre for Plant Functional Genomics), Megan G. Forbes(Australian Centre for Plant Functional Genomics), Lothar Willmitzer(Max Planck Institute of Molecular Plant Physiology), Alisdair R. Fernie(Max Planck Institute of Molecular Plant Physiology), Joachim Kopka(Max Planck Institute of Molecular Plant Physiology)
FEBS Letters
January 28, 2005
Cited by 704Open Access
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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.


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