Ubhi Baljit K
SCIEX, Redwood City, CA, USA.
Methods Mol Biol. 2018;1730:227-236. doi: 10.1007/978-1-4939-7592-1_15.
Lipids play a key role in the signaling pathways of cancer, cardiovascular, diabetic, and inflammatory diseases. A major challenge in the analysis of lipids is the many isobaric interferences present in highly complex samples that confound identification and accurate quantitation. After obtaining the total lipid extract from a sample, differential mobility separation has proven to be a powerful tool for gas-phase fractionation of lipid classes. When combined with mass spectrometry, this allows the unambiguous identification and thus quantification of lipid molecular species. These components, sample extraction, gas-phase separation, and mass spectrometry, form the basis of a novel integrated quantitative lipid analysis platform.
脂质在癌症、心血管疾病、糖尿病和炎症性疾病的信号通路中起着关键作用。脂质分析中的一个主要挑战是高度复杂的样品中存在许多等压干扰,这会混淆鉴定和准确定量。从样品中获得总脂质提取物后,差分迁移分离已被证明是脂质类气相分离的有力工具。与质谱联用,这使得脂质分子种类能够被明确鉴定并进而进行定量。这些组成部分,即样品提取、气相分离和质谱,构成了一个新型综合定量脂质分析平台的基础。