LC-MS metabolomics from study design to data-analysis-using a versatile pathogen as a test case

Maya Berg, Manu Vanaerschot, Andris Jankevics, Bart Cuypers, Rainer Breitling, Jean Claude Dujardin

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Thanks to significant improvements in LC-MS technology, metabolomics is increasingly used as a tool to discriminate the responses of organisms to various stimuli or drugs. In this minireview we discuss all aspects of the LC-MS metabolomics pipeline, using a complex and versatile model organism, Leishmania donovani , as an illustrative example. The benefits of a hyphenated mass spectrometry platform and a detailed overview of the entire experimental pipeline from sampling, sample storage and sample list set-up to LC-MS measurements and the generation of meaningful results with state-of-the-art data-analysis software will be thoroughly discussed. Finally, we also highlight important pitfalls in the processing of LC-MS data and comment on the benefits of implementing metabolomics in a systems biology approach. © 2013 Berg et al.
    Original languageEnglish
    Article numbere201301002
    JournalComputational and Structural Biotechnology Journal
    Volume4
    Issue number5
    DOIs
    Publication statusPublished - 2013

    Keywords

    • Global molecular profiles
    • HILIC
    • Leishmania
    • Mass spectrometry
    • Systems biology
    • Unicellular trypanosomatid parasites

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