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差分离子淌度谱驱动的鸟枪法脂质组学

Differential mobility spectrometry-driven shotgun lipidomics.

作者信息

Lintonen Tuulia P I, Baker Paul R S, Suoniemi Matti, Ubhi Baljit K, Koistinen Kaisa M, Duchoslav Eva, Campbell J Larry, Ekroos Kim

机构信息

Zora Biosciences Oy , Biologinkuja 1, Espoo, FI-02150, Finland.

出版信息

Anal Chem. 2014 Oct 7;86(19):9662-9. doi: 10.1021/ac5021744. Epub 2014 Sep 8.

Abstract

The analysis of lipids by mass spectrometry (MS) can provide in-depth characterization for many forms of biological samples. However, such workflows can also be hampered by challenges like low chromatographic resolution for lipid separations and the convolution of mass spectra from isomeric and isobaric species. To address these issues, we describe the use of differential mobility spectrometry (DMS) as a rapid and predictable separation technique within a shotgun lipidomics workflow, with a special focus on phospholipids (PLs). These analytes, ionized by electrospray ionization (ESI), are filtered using DMS prior to MS analysis. The observed separation (measured in terms of DMS compensation voltage) is affected by several factors, including the m/z of the lipid ion, the structure of an individual ion, and the presence of chemical modifiers in the DMS cell. Such DMS separations can simplify the analysis of complex extracts in a robust and reproducible manner, independent of utilized MS instrumentation. The predictable separation achieved with DMS can facilitate correct lipid assignments among many isobaric and isomeric species independent of the resolution settings of the MS analysis. This leads to highly comprehensive and quantitative lipidomic outputs through rapid profiling analyses, such as Q1 and MRM scans. The ultimate benefit of the DMS separation in this unique shotgun lipidomics workflow is its ability to separate many isobaric and isomeric lipids that by standard shotgun lipidomics workflows are difficult to assess precisely, for example, ether and diacyl species and phosphatidylcholine (PC) and sphingomyelin (SM) lipids.

摘要

通过质谱(MS)对脂质进行分析可为多种生物样品提供深入表征。然而,此类工作流程也可能受到脂质分离色谱分辨率低以及同分异构体和等压物质质谱图卷积等挑战的阻碍。为解决这些问题,我们描述了在鸟枪法脂质组学工作流程中使用差分离子迁移谱(DMS)作为一种快速且可预测的分离技术,特别关注磷脂(PLs)。这些通过电喷雾电离(ESI)电离的分析物在进行MS分析之前使用DMS进行过滤。观察到的分离(以DMS补偿电压衡量)受几个因素影响,包括脂质离子的质荷比、单个离子的结构以及DMS池中化学修饰剂的存在。这种DMS分离能够以稳健且可重复的方式简化复杂提取物的分析,而与所使用的MS仪器无关。DMS实现的可预测分离能够在不依赖MS分析分辨率设置的情况下,促进在众多等压和同分异构物种之间进行正确的脂质鉴定。这通过快速分析,如Q1和MRM扫描,实现了高度全面和定量的脂质组学输出。在这种独特的鸟枪法脂质组学工作流程中,DMS分离的最大好处在于其能够分离许多通过标准鸟枪法脂质组学工作流程难以精确评估的等压和同分异构脂质,例如醚类和二酰基物种以及磷脂酰胆碱(PC)和鞘磷脂(SM)脂质。

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