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An efficient and comprehensive plant glycerolipids analysis approach based on high-performance liquid chromatography-quadrupole time-of-flight mass spectrometer.
Plant Direct ( IF 2.3 ) Pub Date : 2019-11-15 , DOI: 10.1002/pld3.183
Shaoping Lu 1 , Hongbo Liu 1 , Cheng Jin 1 , Qing Li 1 , Liang Guo 1
Affiliation  

In past two decades, numerous lipidomics approaches based on mass spectrometry with or without liquid chromatography separation have been established for identification and quantification of lipids in plants. In this study, we developed an efficient and comprehensive lipidomics approach based on UPLC with an Acquity UPLCTM BEH C18 column coupled to TripleTOF using ESI in positive ion mode and MS/MSALL scan for data collection. Lipid extract was prepared to 2 mg/ml solution according to dry tissue weight and mixed with 13 kinds of internal standards including PA, PC, PE, and PG. Each analysis required single injection of 5–10 μl lipid solvent and completed in 32 min. A target method dataset was generated using the LipidView software for prediction of the accurate mass of target lipid species. The dataset was uploaded into the PeakView to create processing datasets to search target lipid species, which achieved batch data processing of multiple samples for lipid species‐specific identification and quantification. As proof of concept, we profiled the lipids of different tissues of rapeseed. Thirteen lipid classes including 218 glycerolipids were identified including 46 TAGs, 15 DAGs, 20 PCs, 24 PEs, 13 PGs, 14 PIs, 26 PSs, 12 PAs, 16 MGDGs, 16 DGDGs, 6 LysoPCs, 5 LysoPEs, and 5 LysoPGs. Together, our approach permits the analysis of glycerolipids in plant tissues with simplicity in sample analysis and data processing using UPLC‐TripleTOF.

中文翻译:

基于高效液相色谱-四极杆飞行时间质谱仪的高效、全面的植物甘油脂分析方法。

在过去的二十年中,已经建立了许多基于质谱法(有或没有液相色谱分离)的脂质组学方法,用于植物中脂质的鉴定和定量。在本研究中,我们开发了一种基于 UPLC 的高效、全面的脂质组学方法,其中 Acquity UPLC TM BEH C18 色谱柱与 TripleTOF 结合,使用正离子模式下的 ESI 和 MS/MS ALL扫描进行数据收集。将脂质提取物按组织干重配制成2mg/ml溶液,与PA、PC、PE、PG等13种内标混合。每次分析需要单次注射 5–10 μl 脂质溶剂,并在 32 分钟内完成。使用 LipidView 软件生成目标方法数据集,用于预测目标脂质种类的准确质量。将数据集上传到PeakView,创建处理数据集来搜索目标脂质种类,实现了多个样品的批量数据处理,以进行脂质种类特异性识别和定量。作为概念证明,我们分析了油菜籽不同组织的脂质。鉴定出包括 218 种甘油脂在内的 13 种脂质类别,包括 46 种 TAG、15 种 DAG、20 种 PC、24 种 PE、13 种 PG、14 种 PI、26 种 PS、12 种 PA、16 种 MGDG、16 种 DGDG、6 种 LysoPC、5 种 LysoPE 和 5 种 LysoPG。总之,我们的方法允许使用 UPLC-TripleTOF 简单地进行样品分析和数据处理来分析植物组织中的甘油脂。
更新日期:2019-11-15
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