A non-directed approach to the differential analysis of multiple LC–MS-derived metabolic profiles

An essential element of any strategy for non-targeted metabolomics analysis of complex biological extracts is the capacity to perform comparisons between large numbers of samples. As the most widely used technologies are all based on mass spectrometry (e.g. GCMS, LCMS), this entails that we must be...

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Bibliographic Details
Published in:Metabolomics 2005-04, Vol.1 (2), p.169-180
Main Authors: Vorst, O., Vos, C. H. R. de, Lommen, A., Staps, R. V., Visser, R. G. F., Bino, R. J., Hall, R. D.
Format: Article
Language:English
Subjects:
EPS-3
Laboratorium voor Plantenfysiologie
Laboratorium voor Plantenveredeling
Laboratory of Plant Breeding
Laboratory of Plant Physiology
Mass spectrometry
Plant Breeding
PRI Bioscience
RIKILT - Business Unit Safety & Health
RIKILT - Business Unit Veiligheid & Gezondheid
Solanum tuberosum
Studies
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Summary:An essential element of any strategy for non-targeted metabolomics analysis of complex biological extracts is the capacity to perform comparisons between large numbers of samples. As the most widely used technologies are all based on mass spectrometry (e.g. GCMS, LCMS), this entails that we must be able to compare reliably and (semi)automatically large series of chromatographic mass spectra from which compositional differences are to be extracted in a statistically justifiable manner. In this paper we describe a novel approach for the extraction of relevant information from multiple full-scan metabolic profiles derived from LC-MS analyses. Specifically-designed software has made it possible to combine all mass peaks on the basis of retention time and m/z values only, without prior identification, to produce a data matrix output which can then be used for multivariate statistical analysis. To demonstrate the capacity of this approach, aqueous methanol extracts from potato tuber tissues of eight contrasting genotypes, harvested at two developmental stages have been used. Our results showed that it is possible to discover reproducibly discriminatory mass peaks related both to the genetic origin of the material as well as the developmental stage at which it was harvested. In addition the limitations of the approach are explored by a careful evaluation of the alignment quality.[PUBLICATION ABSTRACT]
ISSN:1573-3882
1573-3890
DOI:10.1007/s11306-005-4432-7