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The potential of metabolomics for Leishmania research in the post-genomics era

Published online by Cambridge University Press:  29 January 2010

RICHARD A. SCHELTEMA
Affiliation:
Groningen Bioinformatics Centre, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Kerklaan 30, 9751 NN Haren, The Netherlands
SASKIA DECUYPERE
Affiliation:
Department of Parasitology, Unit of Molecular Parasitology, Institute of Tropical Medicine, Antwerp B-2000, Belgium Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0NR, Scotland
RUBEN T'KINDT
Affiliation:
Department of Parasitology, Unit of Molecular Parasitology, Institute of Tropical Medicine, Antwerp B-2000, Belgium Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0NR, Scotland
JEAN-CLAUDE DUJARDIN
Affiliation:
Department of Parasitology, Unit of Molecular Parasitology, Institute of Tropical Medicine, Antwerp B-2000, Belgium
GRAHAM H. COOMBS
Affiliation:
Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0NR, Scotland
RAINER BREITLING*
Affiliation:
Groningen Bioinformatics Centre, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Kerklaan 30, 9751 NN Haren, The Netherlands
*
*Address correspondence to: Rainer Breitling (r.breitling@rug.nl), Tel: +31-50-3638088, Fax: +31-50-3637976.

Summary

The post-genomics era has provided researchers with access to a new generation of tools for the global characterization and understanding of pathogen diversity. This review provides a critical summary of published Leishmania post-genomic research efforts to date, and discusses the potential impact of the addition of metabolomics to the post-genomic toolbox. Metabolomics aims at understanding biology by comprehensive metabolite profiling. We present an overview of the design and interpretation of metabolomics experiments in the context of Leishmania research. Sample preparation, measurement techniques, and bioinformatics analysis of the generated complex datasets are discussed in detail. To illustrate the concepts and the expected results of metabolomics analyses, we also present an overview of comparative metabolic profiles of drug-sensitive and drug-resistant Leishmania donovani clinical isolates.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2010

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