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作为基于基质辅助激光解吸电离傅里叶变换离子回旋共振质谱脂质组学基质的均匀2,5-二羟基苯甲酸层

A uniform 2,5-dihydroxybenzoic acid layer as a matrix for MALDI-FTICR MS-based lipidomics.

作者信息

Wei Yanbo, Zhang Yangyang, Lin Yu, Li Lin, Liu Jian'an, Wang Zhenpeng, Xiong Shaoxiang, Zhao Zhenwen

机构信息

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry Chinese Academy of Sciences, Beijing 100190, China.

出版信息

Analyst. 2015 Feb 21;140(4):1298-305. doi: 10.1039/c4an01964d.

Abstract

A very uniform 2,5-dihydroxybenzoic acid (DHB) layer was for the first time constructed and used as a matrix for matrix-assisted laser desorption ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI-FTICR MS) for quickly exploring the changes in lipids within biological systems. Lipid extracts from biological samples were dissolved in chloroform and deposited onto the DHB layer. Benefiting from the insolubility of DHB in chloroform, the uniform matrix crystals were still maintained, and more importantly, the lipid analytes were distributed homogeneously on the layer, which significantly increased the reproducibility of analysis using MALDI-FTICR MS. Taking advantage of the benefit of high resolution of FTICR MS and the fragment ions obtained by MS/MS, lots of lipids were identified. This method was used for exploring the changes of lipids in drug-resistant tumor cells compared with paired drug-sensitive tumor cells. The principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were employed for discovery of the changed lipids. This method, characterized by the simplicity and the speediness, demonstrated a new and promising approach for lipidomics study.

摘要

首次构建了非常均匀的2,5-二羟基苯甲酸(DHB)层,并将其用作基质辅助激光解吸电离傅里叶变换离子回旋共振质谱(MALDI-FTICR MS)的基质,用于快速探索生物系统中脂质的变化。将生物样品的脂质提取物溶解在氯仿中,并沉积在DHB层上。得益于DHB在氯仿中的不溶性,均匀的基质晶体得以保持,更重要的是,脂质分析物在该层上均匀分布,这显著提高了使用MALDI-FTICR MS进行分析的重现性。利用FTICR MS的高分辨率优势以及通过MS/MS获得的碎片离子,鉴定出了大量脂质。该方法用于探索耐药肿瘤细胞与配对的药物敏感肿瘤细胞相比脂质的变化。采用主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)来发现变化的脂质。这种方法具有简单快速的特点,为脂质组学研究展示了一种新的且有前景的方法。

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