Jouhet Juliette, Lupette Josselin, Clerc Olivier, Magneschi Leonardo, Bedhomme Mariette, Collin Séverine, Roy Sylvaine, Maréchal Eric, Rébeillé Fabrice
Laboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.
PLoS One. 2017 Aug 3;12(8):e0182423. doi: 10.1371/journal.pone.0182423. eCollection 2017.
Methods to analyze lipidomes have considerably evolved, more and more based on mass spectrometry technics (LC-MS/MS). However, accurate quantifications using these methods require 13C-labeled standards for each lipid, which is not feasible because of the very large number of molecules. Thus, quantifications rely on standard molecules representative of a whole class of lipids, which might lead to false estimations of some molecular species. Here, we determined and compared glycerolipid distributions from three different types of cells, two microalgae (Phaeodactylum tricornutum, Nannochloropsis gaditana) and one higher plant (Arabidopsis thaliana), using either LC-MS/MS or Thin Layer Chromatography coupled with Gas Chromatography (TLC-GC), this last approach relying on the precise quantification of the fatty acids present in each glycerolipid class. Our results showed that the glycerolipid distribution was significantly different depending on the method used. How can one reconcile these two analytical methods? Here we propose that the possible bias with MS data can be circumvented by systematically running in tandem with the sample to be analyzed a lipid extract from a qualified control (QC) of each type of cells, previously analyzed by TLC-GC, and used as an external standard to quantify the MS results. As a case study, we applied this method to compare the impact of a nitrogen deficiency on the three types of cells.
分析脂质组的方法已经有了很大的发展,越来越多地基于质谱技术(液相色谱-串联质谱法)。然而,使用这些方法进行准确的定量分析需要为每种脂质准备13C标记的标准品,由于脂质分子数量众多,这是不可行的。因此,定量分析依赖于代表整个脂质类别的标准分子,这可能会导致对某些分子种类的错误估计。在这里,我们使用液相色谱-串联质谱法或薄层色谱-气相色谱联用技术(TLC-GC)测定并比较了三种不同类型细胞中的甘油脂分布,这三种细胞分别是两种微藻(三角褐指藻、加的斯微拟球藻)和一种高等植物(拟南芥),后一种方法依赖于对每种甘油脂类中存在的脂肪酸进行精确量化。我们的结果表明,根据所使用的方法不同,甘油脂分布存在显著差异。如何协调这两种分析方法呢?在这里,我们建议,可以通过将每种细胞类型的合格对照(QC)的脂质提取物与待分析样品串联运行来规避质谱数据可能存在的偏差,该脂质提取物先前已通过TLC-GC分析,并用作外标来量化质谱结果。作为一个案例研究,我们应用这种方法比较了氮缺乏对这三种细胞类型的影响。