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Lipidomics pp 339–368Cite as

Bioinformatics Strategies for the Analysis of Lipids

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Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 580))

Summary

Owing to their importance in cellular physiology and pathology as well as to recent technological advances, the study of lipids has reemerged as a major research target. However, the structural diversity of lipids presents a number of analytical and informatics challenges. The field of lipidomics is a new postgenome discipline that aims to develop comprehensive methods for lipid analysis, necessitating concomitant developments in bioinformatics. The evolving research paradigm requires that new bioinformatics approaches accommodate genomic as well as high-level perspectives, integrating genome, protein, chemical and network information. The incorporation of lipidomics information into these data structures will provide mechanistic understanding of lipid functions and interactions in the context of cellular and organismal physiology. Accordingly, it is vital that specific bioinformatics methods be developed to analyze the wealth of lipid data being acquired. Herein, we present an overview of the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and application of its tools to the analysis of lipid data. We also describe a series of software tools and databases (KGML-ED, VANTED, MZmine, and LipidDB) that can be used for the processing of lipidomics data and biochemical pathway reconstruction, an important next step in the development of the lipidomics field.

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Acknowledgments

This research was supported by the Åke Wibergs Stiftelse, the Fredrik and Ingrid Thurings Stiftelse, and The Royal Swedish Academy of Sciences. C.E.W. was supported by a fellowship from the Centre for Allergy Research.

Author information

Authors and Affiliations

  1. Department of Medical Biochemistry and Biophysics, Division of Physical Chemistry II, Karolinska Institutet, Stockholm, Sweden

    Craig E. Wheelock & Fabio Luiz D’Alexandri

  2. Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, Japan

    Craig E. Wheelock & Susumu Goto

  3. VTT Technical Research Centre of Finland, Espoo, Finland

    Laxman Yetukuri & Matej Orešič

  4. Department of Parasitology, Department of Biochemical Sciences, University of San Paulo, San Paulo, Brazil

    Fabio Luiz D’Alexandri

  5. Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany

    Christian Klukas

  6. Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben and Institute of Computer Science, Martin-Luther-University, Halle-Wittenberg, Germany

    Falk Schreiber

Authors
  1. Craig E. Wheelock
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  2. Susumu Goto
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  3. Laxman Yetukuri
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  4. Fabio Luiz D’Alexandri
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  5. Christian Klukas
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  6. Falk Schreiber
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  7. Matej Orešič
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Editor information

Editors and Affiliations

  1. Golden Leaf Rd. 215, Mars Hill, 28754, U.S.A.

    Donald Armstrong

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© 2009 Humana Press, a part of Springer Science+Business Media, LLC

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Wheelock, C.E. et al. (2009). Bioinformatics Strategies for the Analysis of Lipids. In: Armstrong, D. (eds) Lipidomics. Methods in Molecular Biology™, vol 580. Humana Press. https://doi.org/10.1007/978-1-60761-325-1_19

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  • DOI: https://doi.org/10.1007/978-1-60761-325-1_19

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60761-324-4

  • Online ISBN: 978-1-60761-325-1

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