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一种用于测量稳定同位素标记细胞中脂肪酸和胆固醇的优化方法。

An optimized method for measuring fatty acids and cholesterol in stable isotope-labeled cells.

作者信息

Argus Joseph P, Yu Amy K, Wang Eric S, Williams Kevin J, Bensinger Steven J

机构信息

Departments of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095.

Departments of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095.

出版信息

J Lipid Res. 2017 Feb;58(2):460-468. doi: 10.1194/jlr.D069336. Epub 2016 Dec 14.

Abstract

Stable isotope labeling has become an important methodology for determining lipid metabolic parameters of normal and neoplastic cells. Conventional methods for fatty acid and cholesterol analysis have one or more issues that limit their utility for in vitro stable isotope-labeling studies. To address this, we developed a method optimized for measuring both fatty acids and cholesterol from small numbers of stable isotope-labeled cultured cells. We demonstrate quantitative derivatization and extraction of fatty acids from a wide range of lipid classes using this approach. Importantly, cholesterol is also recovered, albeit at a modestly lower yield, affording the opportunity to quantitate both cholesterol and fatty acids from the same sample. Although we find that background contamination can interfere with quantitation of certain fatty acids in low amounts of starting material, our data indicate that this optimized method can be used to accurately measure mass isotopomer distributions for cholesterol and many fatty acids isolated from small numbers of cultured cells. Application of this method will facilitate acquisition of lipid parameters required for quantifying flux and provide a better understanding of how lipid metabolism influences cellular function.

摘要

稳定同位素标记已成为确定正常细胞和肿瘤细胞脂质代谢参数的重要方法。传统的脂肪酸和胆固醇分析方法存在一个或多个问题,限制了它们在体外稳定同位素标记研究中的应用。为了解决这个问题,我们开发了一种经过优化的方法,用于从小量稳定同位素标记的培养细胞中测量脂肪酸和胆固醇。我们展示了使用这种方法从广泛的脂质类别中对脂肪酸进行定量衍生化和提取。重要的是,胆固醇也能被回收,尽管回收率略低,这使得能够从同一样品中对胆固醇和脂肪酸进行定量。虽然我们发现背景污染会干扰少量起始材料中某些脂肪酸的定量,但我们的数据表明,这种优化方法可用于准确测量从少量培养细胞中分离出的胆固醇和许多脂肪酸的质量同位素异构体分布。该方法的应用将有助于获取定量通量所需的脂质参数,并更好地理解脂质代谢如何影响细胞功能。

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