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Lipidomics: Mass Spectrometry Based Untargeted Profiling and False Positives

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Lipidomics in Health & Disease

Part of the book series: Translational Bioinformatics ((TRBIO,volume 14))

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Abstract

Lipid metabolism is increasingly popular in recent years. Lipidomics analysis is the most powerful technique for large scale analysis of lipid molecules. Untargeted lipidomics using high resolution mass spectrometry is the mainstream due to the wide coverage of lipids. This review discusses the major platforms of untargeted lipidomics from lipid extraction to molecular assignment. Various false positives are also summarized to improve the confidence of untargeted lipidomic analysis. Quantitation of cellular or organellar lipid composition is essential to understand lipid physiological function. Therefore, the approaches of quantifying different lipids are included in this review.

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Authors and Affiliations

  1. School of Life Sciences, Tsinghua University, Beijing, China

    Xiaohui Liu, Lina Xu, Xueying Wang & Yupei Jiao

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  1. Xiaohui Liu
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  2. Lina Xu
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  3. Xueying Wang
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  4. Yupei Jiao
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Correspondence to Xiaohui Liu .

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Editors and Affiliations

  1. Zhongshan Hospital Institute of Clinical Science, Fudan University Shanghai Medical College, Shanghai, China

    Xiangdong Wang

  2. Zhongshan Hospital Institute of Clinical Science, Fudan University Shanghai Medical School, Shanghai, China

    Duojiao Wu

  3. Institutes of Biomedicine, Fudan University, Shanghai, China

    Huali Shen

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Liu, X., Xu, L., Wang, X., Jiao, Y. (2018). Lipidomics: Mass Spectrometry Based Untargeted Profiling and False Positives. In: Wang, X., Wu, D., Shen, H. (eds) Lipidomics in Health & Disease. Translational Bioinformatics, vol 14. Springer, Singapore. https://doi.org/10.1007/978-981-13-0620-4_10

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