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采用液相色谱-数据非依赖采集串联质谱法对生物样本中磷酸肌醇的同分异构体选择全面脂质组学分析。

Isomer Selective Comprehensive Lipidomics Analysis of Phosphoinositides in Biological Samples by Liquid Chromatography with Data Independent Acquisition Tandem Mass Spectrometry.

机构信息

Institute of Pharmaceutical Sciences, Pharmaceutical (Bio-)Analysis, University of Tübingen, Auf der Morgenstelle 8, Tübingen 72076, Germany.

出版信息

Anal Chem. 2021 Jul 13;93(27):9583-9592. doi: 10.1021/acs.analchem.1c01751. Epub 2021 Jun 30.

Abstract

Phosphoinositides (PIPx) play central roles in membrane dynamics and signal transduction of key functions like cellular growth, proliferation, differentiation, migration, and adhesion. They are highly regulated through a network of distinct phosphatidylinositol phosphates consisting of seven groups and three regioisomers in two groups (PIP and PIP2), which arise from phosphorylation at 3', 4', and 5' positions of the inositol ring. Numerous studies have revealed the importance of both fatty acyl chains, degree of phosphorylation, and phosphorylation positions under physiological and pathological states. However, a comprehensive analytical method that allows differentiation of all regioisomeric forms with different acyl side chains and degrees of phosphorylation is still lacking. Here, we present an integrated comprehensive workflow of PIPx analysis utilizing a chiral polysaccharide stationary phase coupled with electrospray ionization high-resolution mass spectrometry with a data independent acquisition technique using the SWATH technology. Correspondingly, a targeted data mining strategy in the untargeted comprehensively acquired MS and MS/MS data was developed. This powerful highly selective method gives a full picture of PIPx profiles in biological samples. Herein, we present for the first time the full PIPx profiles of NIST SRM1950 plasma, lipid extract, and HeLa cell extract, including profile changes upon treatment with potential PI3K inhibitor wortmannin. We also illustrate using this inhibitor that measurements of the PIPx profile averaged over the distinct regioisomers by analytical procedures, which cannot differentiate between the individual PIPx isomers, can easily lead to biased conclusions.

摘要

磷脂酰肌醇磷酸(PIPx)在细胞生长、增殖、分化、迁移和黏附等关键功能的膜动态和信号转导中发挥核心作用。它们通过由七个组组成的独特磷脂酰肌醇磷酸网络高度调控,其中三个组在两个组(PIP 和 PIP2)中具有三种区域异构体,这些异构体来自于肌醇环 3'、4'和 5'位置的磷酸化。大量研究揭示了在生理和病理状态下,脂肪酸链、磷酸化程度和磷酸化位置的重要性。然而,仍然缺乏一种能够区分具有不同酰基侧链和磷酸化程度的所有区域异构体形式的综合分析方法。在这里,我们提出了一种利用手性多糖固定相与电喷雾电离高分辨率质谱联用的 PIPx 分析综合全面工作流程,该方法采用 SWATH 技术进行数据非依赖性采集。相应地,我们开发了一种针对非靶向全面采集的 MS 和 MS/MS 数据的靶向数据挖掘策略。这种强大的高选择性方法可以全面描绘生物样品中的 PIPx 图谱。在这里,我们首次呈现了 NIST SRM1950 血浆、脂质提取物和 HeLa 细胞提取物的完整 PIPx 图谱,包括用潜在的 PI3K 抑制剂渥曼青霉素处理后的图谱变化。我们还通过使用该抑制剂说明了,通过分析程序对不同区域异构体进行平均的 PIPx 图谱测量,无法区分各个 PIPx 异构体,很容易导致有偏差的结论。

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