Wasslen Karl V, Canez Carlos R, Lee Hyunmin, Manthorpe Jeffrey M, Smith Jeffrey C
Department of Chemistry and ‡Institute of Biochemistry, Carleton University , Ottawa, Ontario K1S 5B6, Canada.
Anal Chem. 2014 Oct 7;86(19):9523-32. doi: 10.1021/ac501588y. Epub 2014 Sep 24.
A novel mass spectrometry (MS)-based lipidomics strategy that exposes glycerophospholipids to an ethereal solution of diazomethane and acid, derivatizing them to contain a net fixed, permanent positive charge, is described. The sensitivity of modified lipids to MS detection is enhanced via improved ionization characteristics as well as consolidation of ion dissociation to form one or two strong, characteristic polar headgroup fragments. Our strategy has been optimized to enable a priori prediction of ion fragmentation patterns for four subclasses of modified glycerophospholipid species. Our method enables analyte ionization regardless of proton affinity, thereby decreasing ion suppression and permitting predictable precursor ion-based quantitation with improved sensitivity in comparison to MS-based methods that are currently used on unmodified lipid precursors.
本文描述了一种基于质谱(MS)的新型脂质组学策略,该策略将甘油磷脂暴露于重氮甲烷和酸的醚溶液中,使其衍生化以包含净固定的永久正电荷。修饰脂质对MS检测的灵敏度通过改善电离特性以及离子解离的合并而得到增强,从而形成一个或两个强的、特征性的极性头部基团片段。我们的策略已经优化,能够对修饰甘油磷脂物种的四个亚类的离子碎片化模式进行先验预测。我们的方法能够实现无论质子亲和力如何的分析物电离,从而减少离子抑制,并与目前用于未修饰脂质前体的基于MS的方法相比,以更高的灵敏度实现基于可预测前体离子的定量。