Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures
- PMID: 33037133
- PMCID: PMC7707175
- DOI: 10.1194/jlr.S120001025
Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures
Abstract
A comprehensive and standardized system to report lipid structures analyzed by MS is essential for the communication and storage of lipidomics data. Herein, an update on both the LIPID MAPS classification system and shorthand notation of lipid structures is presented for lipid categories Fatty Acyls (FA), Glycerolipids (GL), Glycerophospholipids (GP), Sphingolipids (SP), and Sterols (ST). With its major changes, i.e., annotation of ring double bond equivalents and number of oxygens, the updated shorthand notation facilitates reporting of newly delineated oxygenated lipid species as well. For standardized reporting in lipidomics, the hierarchical architecture of shorthand notation reflects the diverse structural resolution powers provided by mass spectrometric assays. Moreover, shorthand notation is expanded beyond mammalian phyla to lipids from plant and yeast phyla. Finally, annotation of atoms is included for the use of stable isotope-labeled compounds in metabolic labeling experiments or as internal standards. This update on lipid classification, nomenclature, and shorthand annotation for lipid mass spectra is considered a standard for lipid data presentation.
Keywords: fatty acyls; glycerolipids; glycerophospholipids; lipidomics; mass spectrometry; sphingolipids; sterols.
Copyright © 2020 Liebisch et al. Published by The American Society for Biochemistry and Molecular Biology, Inc.
Conflict of interest statement
Conflict of interest—The authors declare that they have no conflicts of interest with the contents of this article.
Figures
References
-
- O’Donnell V. B., Dennis E. A., Wakelam M. J. O., and Subramaniam S.. 2019. LIPID MAPS: serving the next generation of lipid researchers with tools, resources, data, and training. Sci. Signal. 12: eaaw2964. - PubMed
-
- Fahy E., Subramaniam S., Brown H. A., Glass C. K., Merrill A. H. Jr., Murphy R. C., Raetz C. R., Russell D. W., Seyama Y., Shaw W., et al. . 2005. A comprehensive classification system for lipids. J. Lipid Res. 46: 839–861. - PubMed
-
- Ekroos K. 2012. From molecular lipidomics to validated clinical diagnosis. In Lipidomics: Technologies and Applications. K. Ekroos, editor. Wiley-VCH, Weinheim, Germany. 1–16.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
