Automated identification and quantification of glycerophospholipid molecular species by multiple precursor ion scanning

被引:321
作者
Ejsing, Christer S.
Duchoslav, Eva
Sampaio, Julio
Simons, Kai
Bonner, Ron
Thiele, Christoph
Ekroos, Kim
Shevchenko, Andrej
机构
[1] Max Planck Inst Mol Cell Biol & Genet, D-01307 Dresden, Germany
[2] MDS Sciex, Concord, ON L4K 4V8, Canada
[3] AstraZeneca R&D, S-43183 Molndal, Sweden
关键词
D O I
10.1021/ac060545x
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
We report a method for the identification and quantification of glycerophospholipid molecular species that is based on the simultaneous automated acquisition and processing of 41 precursor ion spectra, specific for acyl anions of common fatty acids moieties and several lipid class-specific fragment ions. Absolute quantification of identified species was linear within a concentration range of 10 nM-100 mu M and was achieved by spiking into total lipid extracts a set of synthetic lipid standards with diheptadecanoyl (17:0/17: 0) fatty acid moieties, representing six common classes of glycerophospholipids. The automated analysis of total lipid extracts was powered by a robotic nanoflow ion source and produced currently the most detailed description of the glycerophospholipidome.
引用
收藏
页码:6202 / 6214
页数:13
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