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Recommendations for good practice in MS-based lipidomics

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...

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Autores principales: Köfeler, Harald C., Ahrends, Robert, Baker, Erin S., Ekroos, Kim, Han, Xianlin, Hoffmann, Nils, Holčapek, Michal, Wenk, Markus R., Liebisch, Gerhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Biochemistry and Molecular Biology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585648/
https://www.ncbi.nlm.nih.gov/pubmed/34662536
http://dx.doi.org/10.1016/j.jlr.2021.100138
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author Köfeler, Harald C.
Ahrends, Robert
Baker, Erin S.
Ekroos, Kim
Han, Xianlin
Hoffmann, Nils
Holčapek, Michal
Wenk, Markus R.
Liebisch, Gerhard
author_facet Köfeler, Harald C.
Ahrends, Robert
Baker, Erin S.
Ekroos, Kim
Han, Xianlin
Hoffmann, Nils
Holčapek, Michal
Wenk, Markus R.
Liebisch, Gerhard
author_sort Köfeler, Harald C.
collection PubMed
description 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.
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spelling pubmed-85856482021-11-18 Recommendations for good practice in MS-based lipidomics Köfeler, Harald C. Ahrends, Robert Baker, Erin S. Ekroos, Kim Han, Xianlin Hoffmann, Nils Holčapek, Michal Wenk, Markus R. Liebisch, Gerhard J Lipid Res Thematic Review Series 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. American Society for Biochemistry and Molecular Biology 2021-10-16 /pmc/articles/PMC8585648/ /pubmed/34662536 http://dx.doi.org/10.1016/j.jlr.2021.100138 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Thematic Review Series
Köfeler, Harald C.
Ahrends, Robert
Baker, Erin S.
Ekroos, Kim
Han, Xianlin
Hoffmann, Nils
Holčapek, Michal
Wenk, Markus R.
Liebisch, Gerhard
Recommendations for good practice in MS-based lipidomics
title Recommendations for good practice in MS-based lipidomics
title_full Recommendations for good practice in MS-based lipidomics
title_fullStr Recommendations for good practice in MS-based lipidomics
title_full_unstemmed Recommendations for good practice in MS-based lipidomics
title_short Recommendations for good practice in MS-based lipidomics
title_sort recommendations for good practice in ms-based lipidomics
topic Thematic Review Series
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585648/
https://www.ncbi.nlm.nih.gov/pubmed/34662536
http://dx.doi.org/10.1016/j.jlr.2021.100138
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