Systems level analysis of lipidome

doi:10.1007/s11515-011-1147-1

Front Biol

2011, Vol. 6

Issue (3) : 183-189 https://doi.org/10.1007/s11515-011-1147-1

MINI-REVIEW

Systems level analysis of lipidome

Guanghou SHUI(

)

Life Science Institute, National University of Singapore, Singapore 117456, Singapore

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Abstract

Lipids, once thought to be mainly for energy-storage and structural purpose, have now gained immense recognition as a class of critical metabolites with versatile functions. The diversity and complexity of the cellular lipids are the main challenge for the comprehensive analysis of a lipidome. Lipidomics, which aims at mapping all of the lipids in a cell, is expanded rapidly in recent years, mainly attributed to recent advances in mass spectrometry (MS). MS-based lipidomic approaches developed recently allow the quick profiling of hundreds of lipids in a crude lipid extract. With the aid of latest computational tools/software (chemometrics), aberrant lipid metabolites or important signaling lipid(s) could be easily identified using unbiased lipid profiling approaches. Further tandem MS (MS/MS)-based lipidomic approaches, known as targeted approaches and able to convey structural information, hold the promise for high-throughput lipidome analysis. In this review, I discussed the basic strategy for systems level analysis of lipidome in biomedical study.

Keywords lipidomics lipid mass spectrometry metabolite

Corresponding Author(s): SHUI Guanghou,Email:lsisgh@nus.edu.sg, bchsgh@nus.edu.sg

Issue Date: 01 June 2011

Cite this article:

Guanghou SHUI. Systems level analysis of lipidome[J]. Front Biol, 2011, 6(3): 183-189.

URL:

https://academic.hep.com.cn/fib/EN/10.1007/s11515-011-1147-1
https://academic.hep.com.cn/fib/EN/Y2011/V6/I3/183

Fig.1 Typical structure of major membrane lipids. DAG, diacylglycerol; PA, phosphatidic acid; PC, phosphatidylcholine; PE, phosphatidylethanolamine; PI, phosphatidylinositol; PS, phosphatidylserine; PG, phosphatidylglycerol; SM, sphingomyelins; Cer, ceramides; Chol, cholesterol.

Fig.2 Mass spectrometry-based analysis of lipidome in biological samples. Flow chart illustrating quantitative and comparative lipidomic approaches.

Fig.3 Non-targeted lipidomic analysis (modified from Shui et al. ()). (A) Normalized lipid profile for lipid extract from the wild type cell of yeast ; (B) normalized lipid profile for the mutant; (C) differential plot (log ratio) of the mutant compared to wild type.

Fig.4 Tandem mass spectrometric (MS/MS) strategies for lipidomics. (A) various MS/MS techniques: PIS, product ion scan; PreIS, precursor ion scan; NLS, neutral loss scan; MRM, multiple reaction monitoring. (B) NLS scan of 87 to detect specific PS species in yeast mutant (unpublished data).

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