Recommendations for good practice in MS-based lipidomics

Autor: Harald C. Köfeler, Robert Ahrends, Erin S. Baker, Kim Ekroos, Xianlin Han, Nils Hoffmann, Michal Holčapek, Markus R. Wenk, Gerhard Liebisch
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Lipid Research, Vol 62, Iss , Pp 100138- (2021)
Druh dokumentu: article
ISSN: 0022-2275
DOI: 10.1016/j.jlr.2021.100138
Popis: In the last 2 decades, lipidomics has become one of the fastest expanding scientific disciplines in biomedical research. With an increasing number of new research groups to the field, it is even more important to design guidelines for assuring high standards of data quality. The Lipidomics Standards Initiative is a community-based endeavor for the coordination of development of these best practice guidelines in lipidomics and is embedded within the International Lipidomics Society. It is the intention of this review to highlight the most quality-relevant aspects of the lipidomics workflow, including preanalytics, sample preparation, MS, and lipid species identification and quantitation. Furthermore, this review just does not only highlights examples of best practice but also sheds light on strengths, drawbacks, and pitfalls in the lipidomic analysis workflow. While this review is neither designed to be a step-by-step protocol by itself nor dedicated to a specific application of lipidomics, it should nevertheless provide the interested reader with links and original publications to obtain a comprehensive overview concerning the state-of-the-art practices in the field.
Databáze: Directory of Open Access Journals