Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Anal Bioanal Chem. 2012 Mar;402(9):2923-33. doi: 10.1007/s00216-012-5773-5. Epub 2012 Feb 23.
Lipidomics is a critical part of metabolomics and aims to study all the lipids within a living system. We present here the development and evaluation of a sensitive capillary UPLC-MS method for comprehensive top-down/bottom-up lipid profiling. Three different stationary phases were evaluated in terms of peak capacity, linearity, reproducibility, and limit of quantification (LOQ) using a mixture of lipid standards representative of the lipidome. The relative standard deviations of the retention times and peak abundances of the lipid standards were 0.29% and 7.7%, respectively, when using the optimized method. The linearity was acceptable at >0.99 over 3 orders of magnitude, and the LOQs were sub-fmol. To demonstrate the performance of the method in the analysis of complex samples, we analyzed lipids extracted from a human cell line, rat plasma, and a model human skin tissue, identifying 446, 444, and 370 unique lipids, respectively. Overall, the method provided either higher coverage of the lipidome, greater measurement sensitivity, or both, when compared to other approaches of global, untargeted lipid profiling based on chromatography coupled with MS.
脂质组学是代谢组学的一个重要组成部分,旨在研究活体内所有的脂质。本文介绍了一种灵敏的毛细管 UPLC-MS 方法,用于全面的自上而下/自下而上的脂质分析。我们使用脂质标准混合物评估了三种不同的固定相在峰容量、线性、重现性和定量限(LOQ)方面的性能。使用优化后的方法,脂质标准的保留时间和峰丰度的相对标准偏差分别为 0.29%和 7.7%。线性度在 3 个数量级以上大于 0.99,LOQ 为亚飞摩尔。为了证明该方法在复杂样品分析中的性能,我们分析了从人细胞系、大鼠血浆和模型人皮肤组织中提取的脂质,分别鉴定出 446、444 和 370 种独特的脂质。总的来说,与基于色谱与 MS 联用的其他靶向脂质分析方法相比,该方法在脂质组学的覆盖范围、测量灵敏度或两者方面都具有更高的性能。