title: Reporting of lipidomics data should be standardized.
abstract: This article highlights, to our opinion, some of the most pertinent issues related to producing high quality lipidomics data. These issues include pitfalls related to sample collection and storage, lipid extraction, the use of shotgun and LC-MS-based lipidomics approaches, and the identification, annotation and quantification of lipid species. We hope that highlighting these issues will help stimulate efforts to implement reporting standards for dissemination of lipidomics data. This article is part of a Special Issue entitled: BBALIP_Lipidomics Opinion Articles edited by Sepp Kohlwein.
authors.affiliation: Institute of Clinical Chemistry and Laboratory Medicine, University of Regensburg, Germany. Electronic address: gerhard.liebisch@ukr.de.
authors.forename: Gerhard
authors.initials: G
authors.lastname: Liebisch
authors.affiliation: Lipidomics Consulting Ltd., FI-02230 Esbo, Finland. Electronic address: kim@lipidomicsconsulting.com.
authors.forename: Kim
authors.initials: K
authors.lastname: Ekroos
authors.affiliation: Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, DK-5230 Odense, Denmark. Electronic address: martinher@bmb.sdu.dk.
authors.forename: Martin
authors.initials: M
authors.lastname: Hermansson
authors.affiliation: Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, DK-5230 Odense, Denmark. Electronic address: cse@bmb.sdu.dk.
authors.forename: Christer S
authors.initials: CS
authors.lastname: Ejsing
mesh_terms: D000818:Animals; D002853:Chromatography, Liquid / Q000379:methods; D050356:Lipid Metabolism / Q000502:physiology*; D008055:Lipids / Q000737:chemistry*; D013058:Mass Spectrometry / Q000379:methods; D055432:Metabolomics / Q000379:methods; D012015:Reference Standards
chemical_list: D008055:Lipids