Title
LC-MS metabolomics from study design to data-analysis using a versatile pathogen as a test case LC-MS metabolomics from study design to data-analysis using a versatile pathogen as a test case
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences. Pharmacy
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
Publication type
article
Publication
Subject
Biology
Human medicine
Engineering sciences. Technology
Computer. Automation
Source (journal)
Computational and Structural Biotechnology Journal
Volume/pages
4(2013) :5 , p. 1-8
ISSN
2001-0370
Article Reference
e201301002
Carrier
E-only publicatie
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
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.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/6c8f4f/132871.pdf
Handle