LipidAnalyzer: A Bioinformatics Tool for Relative and Absolute Quantitative Lipidomics

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Brief Introduction: Lipids are the major components of cell membranes and play key roles in cells such as energy storage, cell signaling, and interactions with proteins. Dysregulation of lipid homeostasis is a risk factor for many diseases including cancer, diabetes, cardiovascular disease, and neurodegenerative diseases. The comprehensive study of lipids in molecular biology requires accurate identification and quantification of individual lipid species. But the absolute quantitation of lipids in the lipidome-wide scale is very challenge because of its enormously large number (e.g., >40,000 lipids in the LIPID MAPS) and highly structural diversity. In this work, we developed a large-scale and absolute quantitative lipidomics approach, namely LipidAnalyzer, to enable the simultaneous identification and absolute quantification of hundreds to thousands of lipids in one experiment. Our approach has the comparable precision in quantitation compared to the traditional approach. With the availability of the automatic data analysis software, the identification and absolute quantification of lipids are readily achieved in a high-efficient and automatic manner.


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LipidAnalyzer is characterized by three features:

(1) It embeds an in-house lipid MS/MS spectral library, containing 76,361 lipids and 181,300 MS/MS spectra in total, which provides accurate lipid identifications;

(2) It supports the absolute quantitation of hundreds to thousands of lipids in one experiment using only one internal standard lipid combined with response factors;

(3) All the identifications and quantifications are automatically achieved in one step.

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Reference: J. Tu, Y. Yin, M. Xu, R. Wang, and Z.-J. Zhu*(Corresponding author), Development of an Absolute Quantitative Lipidomics Approach to Reveal the Lipidome-wide Consequences of Aging in Mouse Brain, Metabolomics, 2018, 14: 5.