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通过液相色谱/质谱联用对复杂脂质组进行自动化定量分析。

Automated quantitative analysis of complex lipidomes by liquid chromatography/mass spectrometry.

作者信息

Hermansson Martin, Uphoff Andreas, Käkelä Reijo, Somerharju Pentti

机构信息

Institute of Biomedicine, Department of Biochemistry, University of Helsinki, Helsinki, Finland.

出版信息

Anal Chem. 2005 Apr 1;77(7):2166-75. doi: 10.1021/ac048489s.

Abstract

Recent advances in mass spectrometry have revolutionized the analysis of lipid compositions of cells and other biomaterials by simplifying the analytical protocol dramatically and by increasing the sensitivity of detection by several orders of magnitude. However, the throughput of the published mass spectrometric methods is severely limited by data analysis, which requires extensive operator involvement. Consequently, we have developed an automated method that allows unattended identification and quantification of lipid molecular species of all the major lipid classes from a two-dimensional chromatographic/mass spectrometric data set. More than 100 polar lipid species could be automatically quantified from different biological samples with good accuracy and reproducibility. The response was linear over approximately 3 orders of magnitude with the equipment used, and approximately 35 samples could be analyzed in a day. This method makes high-throughput lipidomics feasible in biology, biotechnology, and medicine.

摘要

质谱技术的最新进展彻底改变了细胞和其他生物材料脂质组成的分析方法,这主要体现在两方面:一是极大地简化了分析流程,二是将检测灵敏度提高了几个数量级。然而,已发表的质谱方法的通量受到数据分析的严重限制,数据分析需要大量操作人员参与。因此,我们开发了一种自动化方法,可从二维色谱/质谱数据集中对所有主要脂质类别的脂质分子种类进行无人值守的鉴定和定量。从不同生物样品中可自动定量分析100多种极性脂质种类,且具有良好的准确性和重现性。使用该设备,响应在大约3个数量级内呈线性,一天大约可分析35个样品。这种方法使高通量脂质组学在生物学、生物技术和医学领域成为可能。

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