Citation: ZHU Chao, LIANG Qiong-Lin, WANG Yi-Ming, LUO Guo-An, Rob J. Vreeken, Thomas Hankmeimer. Advance in Analysis and Detection Technologies for Phospholipidomics[J]. Chinese Journal of Analytical Chemistry, ;2016, 44(6): 984-993. doi: 10.11895/j.issn.0253-3820.150971 shu

Advance in Analysis and Detection Technologies for Phospholipidomics

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College of Medicine&Nursing, Dezhou University, 253023, Dezhou Shandong, China;
2.
Department of Chemistry, Key Lab of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Tsinghua University, 100084, Beijing, China;
3.
Division of Analytical Biosciences, Leiden University, P. O. Box 9502, 2300 RA, Leiden, the Netherlands;
4.
Discovery & Exploratory BA, Discovery Sciences, Janssen R&D, Turnhoutseweg 30, 2340 Beerse, Belgium

Received Date: 9 December 2015
Revised Date: 4 February 2016

Fund Project: This work was supported by the National Natural Science Foundation of China (Nos. 81202502, 81130066, 81230079)

Figures(2)

Phospholipids, the principal constituents of cell membranes, have very important physiological functions and is closely related to human health and diseases. Therefore, comprehensive analysis of phospholipids is essential to enhance our understanding of function of phospholipids in disease process. Phospholipidomics is a phospholipids-targeted metabolomic approach which focuses on comprehensive qualitation and quantitation of phospholipids in biological system. Phospholipidomics study is carried out by the analysis and detection technologies involved in sample preparation, separation, qualitation and quantitation and data mining. In this paper, analysis and detection technologies for phospholipidomics are reviewed, providing a valuable reference for developing fast, stable, reliable, high sensitivity, high resolution, and high throughput platform technologies for phospholipidomics. The integrated investigation of phospholipidomics and other omics are proposed to promote the further development of analytical bioscience.
- Phospholipids,
- Analysis and detection technologies,
- Phospholipidomics,
- Review
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