Bioinformatics and computational methods for lipidomics
2009 (English)In: Journal of chromatography. B, ISSN 1570-0232, E-ISSN 1873-376X, Vol. 877, no 26, p. 2855-2862Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
Elsevier, 2009. Vol. 877, no 26, p. 2855-2862
Keywords [en]
Bioinformatics, Biological membrane, Lipid metabolism, Lipidomics, Liquid chromatography, Mass spectrometry, Metabolic pathways, Metabolomics, Stable isotope tracers, Systems biology
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:oru:diva-70939DOI: 10.1016/j.jchromb.2009.01.025ISI: 000269224200019PubMedID: 19200789Scopus ID: 2-s2.0-67849105033OAI: oai:DiVA.org:oru-70939DiVA, id: diva2:1345849
2019-08-262019-08-262019-08-28Bibliographically approved