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Elsevier, Computational and Structural Biotechnology Journal, 5(4), p. e201301002, 2013

DOI: 10.5936/csbj.201301002

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

Journal article published in 2013 by Maya Berg, Manu Vanaerschot, Andris Jankevics, Bart Cuypers ORCID, Rainer Breitling ORCID, Jean-Claude Dujardin, Vanaerschot M Jankevics A Cuypers B Breitling R Dujardin Jc Berg M.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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.