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(R))...

Descripción completa

Detalles Bibliográficos
Autores principales: Magny, Romain, Regazzetti, Anne, Kessal, Karima, Genta-Jouve, Gregory, Baudouin, Christophe, Mélik-Parsadaniantz, Stéphane, Brignole-Baudouin, Françoise, Laprévote, Olivier, Auzeil, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345884/
https://www.ncbi.nlm.nih.gov/pubmed/32486009
http://dx.doi.org/10.3390/metabo10060225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345884/
https://www.ncbi.nlm.nih.gov/pubmed/32486009
http://dx.doi.org/10.3390/metabo10060225

Ejemplares similares