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采用平行反应监测的高分辨 HPLC-QqTOF 平台进行深入的脂质发现和快速分析。

A high-resolution HPLC-QqTOF platform using parallel reaction monitoring for in-depth lipid discovery and rapid profiling.

机构信息

School of BioSciences, University of Melbourne, Parkville, VIC 3010, Australia.

School of BioSciences, University of Melbourne, Parkville, VIC 3010, Australia; Metabolomics Australia, School of BioSciences, University of Melbourne, Parkville, VIC 3010, Australia.

出版信息

Anal Chim Acta. 2018 Oct 5;1026:87-100. doi: 10.1016/j.aca.2018.03.062. Epub 2018 Apr 18.

Abstract

Here, we developed a robust lipidomics workflow merging both targeted and untargeted approaches on a single liquid chromatography coupled to quadrupole-time of flight (LC-QqTOF) mass spectrometry platform with parallel reaction monitoring (PRM). PRM assays integrate both untargeted profiling from MS1 scans and targeted profiling obtained from MS/MS data. This workflow enabled the discovery of more than 2300 unidentified features and identification of more than 600 lipid species from 23 lipid classes at the level of fatty acid/long chain base/sterol composition in a barley root extracts. We detected the presence of 142 glycosyl inositol phosphorylceramides (GIPC) with HN(Ac)-HA as the core structure of the polar head, 12 cardiolipins and 17 glucuronosyl diacylglycerols (GlcADG) which have been rarely reported previously for cereal crops. Using a scheduled algorithm with up to 100 precursors multiplexed per duty cycle, the PRM assay was able to achieve a rapid profiling of 291 species based on MS/MS data by a single injection. We used this novel approach to demonstrate the applicability and efficiency of the workflow to study salt stress induced changes in the barley root lipidome. Results show that 221 targeted lipids and 888 unknown features were found to have changed significantly in response to salt stress. This combined targeted and untargeted single workflow approach provides novel applications of lipidomics addressing biological questions.

摘要

在这里,我们开发了一种稳健的脂质组学工作流程,该流程在单个液相色谱与四极杆飞行时间(LC-QqTOF)质谱联用平台上结合了靶向和非靶向方法,并采用平行反应监测(PRM)。PRM 分析整合了来自 MS1 扫描的非靶向分析和来自 MS/MS 数据的靶向分析。该工作流程使我们能够在大麦根提取物中从 23 个脂质类别中发现超过 2300 种未识别的特征,并鉴定出超过 600 种脂质种类,达到脂肪酸/长链碱基/固醇组成水平。我们检测到 142 种带有 HN(Ac)-HA 作为极性头部核心结构的糖基肌醇磷酸神经酰胺(GIPC)、12 种心磷脂和 17 种葡萄糖醛酸二酰甘油(GlcADG),这些物质在谷物作物中以前很少有报道。使用带有多达 100 个前体的预定算法,每个工作周期都可以进行多路复用,该 PRM 分析可以通过单次注射根据 MS/MS 数据快速分析 291 种物质。我们使用这种新方法来证明该工作流程在研究大麦根脂质组盐胁迫诱导变化中的适用性和效率。结果表明,有 221 种靶向脂质和 888 种未知特征被发现对盐胁迫有明显变化。这种靶向和非靶向的单一工作流程方法为解决生物学问题的脂质组学提供了新的应用。

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