Lipid Annotation by Combination of UHPLC-HRMS (MS), Molecular Networking, and Retention Time Prediction: Application to a Lipidomic Study of In Vitro Models of Dry Eye Disease

Lipid Annotation by Combination of UHPLC-HRMS (MS), Molecular Networking, and Retention Time Prediction: Application to a Lipidomic Study of In Vitro Models of Dry Eye Disease

Annotation of lipids in untargeted lipidomic analysis remains challenging and a systematic approach needs to be developed to organize important datasets with the help of bioinformatic tools. For this purpose, we combined tandem mass spectrometry-based molecular networking with retention time (t<s...

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Bibliographic Details
Main Authors: Romain Magny, Anne Regazzetti, Karima Kessal, Gregory Genta-Jouve, Christophe Baudouin, Stéphane Mélik-Parsadaniantz, Françoise Brignole-Baudouin, Olivier Laprévote, Nicolas Auzeil
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Metabolites
Subjects:
lipidomic
liquid chromatography
tandem mass spectrometry
molecular network
dry eye disease
hyperosmolarity
Online Access:https://www.mdpi.com/2218-1989/10/6/225

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https://www.mdpi.com/2218-1989/10/6/225

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