Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.jlr.2021.100138
DC Field | Value | |
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dc.title | Recommendations for good practice in ms-based lipidomics | |
dc.contributor.author | Köfeler, H.C. | |
dc.contributor.author | Ahrends, Robert | |
dc.contributor.author | Baker, Erin S. | |
dc.contributor.author | Ekroos, Kim | |
dc.contributor.author | Han, Xianlin | |
dc.contributor.author | Hoffmann, Nils | |
dc.contributor.author | Holcapek, Michal | |
dc.contributor.author | Wenk, Markus R. | |
dc.contributor.author | Liebisch, Gerhard | |
dc.date.accessioned | 2022-10-11T08:04:03Z | |
dc.date.available | 2022-10-11T08:04:03Z | |
dc.date.issued | 2021-01-01 | |
dc.identifier.citation | Köfeler, H.C., Ahrends, Robert, Baker, Erin S., Ekroos, Kim, Han, Xianlin, Hoffmann, Nils, Holcapek, Michal, Wenk, Markus R., Liebisch, Gerhard (2021-01-01). Recommendations for good practice in ms-based lipidomics. Journal of Lipid Research 62 : 100138. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jlr.2021.100138 | |
dc.identifier.issn | 0022-2275 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/232150 | |
dc.description.abstract | 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. © 2021 American Society for Biochemistry and Molecular Biology Inc.. All rights reserved. | |
dc.publisher | American Society for Biochemistry and Molecular Biology Inc. | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus OA2021 | |
dc.subject | Chromatography | |
dc.subject | Ion mobility spectrometry | |
dc.subject | LC-MS | |
dc.subject | Lipid identification | |
dc.subject | Lipidomics | |
dc.subject | Metabolomics | |
dc.subject | MS | |
dc.subject | Phospholipids | |
dc.subject | Sphingolipids | |
dc.type | Review | |
dc.contributor.department | BIOCHEMISTRY | |
dc.description.doi | 10.1016/j.jlr.2021.100138 | |
dc.description.sourcetitle | Journal of Lipid Research | |
dc.description.volume | 62 | |
dc.description.page | 100138 | |
Appears in Collections: | Staff Publications Elements |
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10_1016_j_jlr_2021_100138.pdf | 1.35 MB | Adobe PDF | OPEN | None | View/Download |
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