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一种全面的高分辨率靶向工作流程,用于深入分析神经酰胺。

A Comprehensive High-Resolution Targeted Workflow for the Deep Profiling of Sphingolipids.

机构信息

Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V. , 44227 Dortmund, Germany.

Department of Biochemistry and Structural Biology, The University of Texas Health Science Center at San Antonio , San Antonio, Texas 78229, United States.

出版信息

Anal Chem. 2017 Nov 21;89(22):12480-12487. doi: 10.1021/acs.analchem.7b03576. Epub 2017 Nov 2.

Abstract

Sphingolipids make up a highly diverse group of biomolecules that not only are membrane components but also are involved in various cellular functions such as signaling and protein sorting. To obtain a quantitative view of the sphingolipidome, sensitive, accurate, and comprehensive methods are needed. Here, we present a targeted reversed-phase liquid chromatography-high-resolution mass spectrometry-based workflow that significantly increases the accuracy of measured sphingolipids by resolving nearly isobaric and isobaric species; this is accomplished by a use of (i) an optimized extraction procedure, (ii) a segmented gradient, and (iii) parallel reaction monitoring of a sphingolipid specific fragmentation pattern. The workflow was benchmarked against an accepted sphingolipid model system, the RAW 264.7 cell line, and 61 sphingolipids were quantified over a dynamic range of 7 orders of magnitude, with detection limits in the low femtomole per milligram of protein level, making this workflow an extremely versatile tool for high-throughput sphingolipidomics.

摘要

鞘脂是一大类生物分子,不仅是膜的组成成分,而且还参与各种细胞功能,如信号转导和蛋白质分拣。为了获得鞘脂组学的定量视图,需要灵敏、准确和全面的方法。在这里,我们提出了一种基于反相液相色谱-高分辨率质谱的靶向工作流程,通过解析几乎等压和等压的物质,显著提高了所测鞘脂的准确性;这是通过使用(i)优化的提取程序,(ii)分段梯度,和(iii)鞘脂特定碎片模式的平行反应监测来实现的。该工作流程与公认的鞘脂模型系统 RAW 264.7 细胞系进行了基准测试,在 7 个数量级的动态范围内定量了 61 种鞘脂,检测限低至每毫克蛋白的低飞摩尔水平,使该工作流程成为高通量鞘脂组学的极其通用的工具。

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