Center of Membrane Biochemistry and Lipid Research, University Hospital Carl Gustav Carus and Faculty of Medicine of TU Dresden, Dresden, Germany.
Methods Mol Biol. 2025;2855:269-287. doi: 10.1007/978-1-0716-4116-3_16.
Recent developments in LC-MS instrumentation and analytical technologies together with bioinformatics tools supporting high-throughput processing of large omics datasets significantly enhanced our capabilities and efficiency of identification and quantification of lipids in diverse biological materials. However, each biological matrix is characterized by its unique lipid composition, thus requiring optimization of analytical and bioinformatics workflows for each studied lipidome. Here, we describe an integrated workflow for deep lipidome profiling, accurate annotation, and semi-absolute quantification of complex lipidomes based on reversed phase chromatography and high resolution mass spectrometry. This chapter provides details on selection of the optimal extraction protocol, acquisition of LC-MS/MS data for accurate annotation of lipid molecular species, and design of lipidome-specific mixtures of internal standards to assist quantitative analysis of complex, native lipidomes.
近年来,LC-MS 仪器和分析技术的发展以及支持高通量处理大规模组学数据集的生物信息学工具,显著提高了我们在不同生物材料中鉴定和定量脂质的能力和效率。然而,每种生物基质都具有其独特的脂质组成,因此需要针对每个研究的脂质组优化分析和生物信息学工作流程。在这里,我们描述了一种基于反相色谱和高分辨率质谱的综合工作流程,用于深度脂质组学分析、准确注释和复杂脂质组的半绝对定量。本章详细介绍了选择最佳提取方案、获取 LC-MS/MS 数据以准确注释脂质分子种类,以及设计脂质组特异性内标混合物以协助复杂天然脂质组定量分析的细节。