3 research outputs found

    Recommendations for Good Practice in Mass Spectrometry-Based Lipidomics

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    Kofeler HC, Ahrends R, Baker ES, et al. Recommendations for Good Practice in Mass Spectrometry-Based Lipidomics. Journal of Lipid Research. 2021;62: 100138.In the last two 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 (LSI) 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 (ILS). It is the intention of this review to highlight the most quality-relevant aspects of the lipidomics workflow, including preanalytics, sample preparation, mass spectrometry, and lipid species identification and quantitation. Furthermore, this review does not just highlight examples of best practice, but also sheds light on strengths, drawbacks, and pitfalls in the lipidomic analysis workflow. While this review is not designed to be a step-by-step protocol by itself, nor to be 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. Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved

    Introducing the Lipidomics Minimal Reporting Checklist

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    McDonald JG, Ejsing CS, Kopczynski D, et al. Introducing the Lipidomics Minimal Reporting Checklist. Nature Metabolism . 2022.The rapid increase in lipidomic data has triggered a community-based movement to develop guidelines and minimum requirements for generating, reporting and publishing lipidomic data. The creation of a dynamic checklist summarizing key details of lipidomic analyses using a common language has the potential to harmonize the field by improving both traceability and reproducibility

    Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950-Metabolites in Frozen Human Plasma

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    10.1194/jlr.M079012JOURNAL OF LIPID RESEARCH58122275-228
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