Challenges and perspectives for naming lipids in the context of lipidomics.

Autor: Witting M; Metabolomics and Proteomics Core, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354, Freising-Weihenstephan, Germany., Malik A; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK., Leach A; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK., Bridge A; SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1211, Geneva 4, Switzerland., Aimo L; SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1211, Geneva 4, Switzerland., Conroy MJ; Division of Infection and Immunity, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff, CF14 4XN, UK., O'Donnell VB; Division of Infection and Immunity, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff, CF14 4XN, UK., Hoffmann N; Institute for Bio- and Geosciences (IBG-5), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany., Kopczynski D; Institute for Analytical Chemistry, Universität Wien, Währingerstrasse 38, 1090, Vienna, Austria., Giacomoni F; Université Clermont Auvergne, INRAE, UNH, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France.; MetaboHUB, National Infrastructure of Metabolomics and Fluxomics ANR-11-INBS-0010, 31077, Toulouse, France., Paulhe N; Université Clermont Auvergne, INRAE, UNH, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France.; MetaboHUB, National Infrastructure of Metabolomics and Fluxomics ANR-11-INBS-0010, 31077, Toulouse, France., Gassiot AC; Singapore Lipidomics Incubator, Life Sciences Institute, and Precision Medicine TRP, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore., Poupin N; UMR1331 Toxalim, Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France., Jourdan F; MetaboHUB, National Infrastructure of Metabolomics and Fluxomics ANR-11-INBS-0010, 31077, Toulouse, France.; UMR1331 Toxalim, Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France., Bertrand-Michel J; MetaboHUB, National Infrastructure of Metabolomics and Fluxomics ANR-11-INBS-0010, 31077, Toulouse, France. Justine.bertrand-michel@inserm.fr.; I2MC, Inserm U1297, Université de Toulouse, Toulouse, France. Justine.bertrand-michel@inserm.fr.
Jazyk: angličtina
Zdroj: Metabolomics : Official journal of the Metabolomic Society [Metabolomics] 2024 Jan 24; Vol. 20 (1), pp. 15. Date of Electronic Publication: 2024 Jan 24.
DOI: 10.1007/s11306-023-02075-x
Abstrakt: Introduction: Lipids are key compounds in the study of metabolism and are increasingly studied in biology projects. It is a very broad family that encompasses many compounds, and the name of the same compound may vary depending on the community where they are studied.
Objectives: In addition, their structures are varied and complex, which complicates their analysis. Indeed, the structural resolution does not always allow a complete level of annotation so the actual compound analysed will vary from study to study and should be clearly stated. For all these reasons the identification and naming of lipids is complicated and very variable from one study to another, it needs to be harmonized.
Methods & Results: In this position paper we will present and discuss the different way to name lipids (with chemoinformatic and semantic identifiers) and their importance to share lipidomic results.
Conclusion: Homogenising this identification and adopting the same rules is essential to be able to share data within the community and to map data on functional networks.
(© 2024. The Author(s).)
Databáze: MEDLINE
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