Bioinformatics and computational methods for lipidomics

Perttu Niemelä, Sandra Castillo, Marko Sysi-Aho, Matej Orešič (Corresponding Author)

Research output: Contribution to journalReview Articlepeer-review

60 Citations (Scopus)


Large amounts of lipidomics data are rapidly becoming available. However, there is a lack of tools capable of taking the full advantage of the wealth of new information. Lipid bioinformatics is thus an emerging need as well as challenge for lipid research. Lipid concentration changes in biological systems reflect regulation at multiple spatial and dynamic scales, e.g., biochemical reactions in the cells, intercellular lipid trafficking, changes in cell membrane composition, systemic lipid metabolism or lipid oxidation. In order to address the complexity of lipids and their regulation, four areas of bioinformatics need to be developed: (1) data processing and lipid identification, (2) statistical data analysis, (3) pathway analysis, and (4) lipid modeling in systems and biophysical contexts. In this paper we overview the current state of the lipid bioinformatics field as well as suggest few potential new areas of research.

Original languageEnglish
Pages (from-to)2855-2862
Number of pages8
JournalJournal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
Issue number26
Publication statusPublished - 2009
MoE publication typeA2 Review article in a scientific journal


  • Bioinformatics
  • Biological membrane
  • Lipid metabolism
  • Lipidomics
  • Liquid chromatography
  • Mass spectrometry
  • Metabolic pathways
  • Stable isotope tracers
  • Systems biology

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