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用于小鼠组织脂质组非靶向分析的脂质提取方案评估

Evaluation of Lipid Extraction Protocols for Untargeted Analysis of Mouse Tissue Lipidome.

作者信息

Omar Ashraf M, Zhang Qibin

机构信息

Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC 28081, USA.

Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC 27402, USA.

出版信息

Metabolites. 2023 Sep 9;13(9):1002. doi: 10.3390/metabo13091002.

Abstract

Lipidomics refers to the full characterization of lipids present within a cell, tissue, organism, or biological system. One of the bottlenecks affecting reliable lipidomic analysis is the extraction of lipids from biological samples. An ideal extraction method should have a maximum lipid recovery and the ability to extract a broad range of lipid classes with acceptable reproducibility. The most common lipid extraction relies on either protein precipitation (monophasic methods) or liquid-liquid partitioning (bi- or triphasic methods). In this study, three monophasic extraction systems, isopropanol (IPA), MeOH/MTBE/CHCl (MMC), and EtOAc/EtOH (EE), alongside three biphasic extraction methods, Folch, butanol/MeOH/heptane/EtOAc (BUME), and MeOH/MTBE (MTBE), were evaluated for their performance in characterization of the mouse lipidome of six different tissue types, including pancreas, spleen, liver, brain, small intestine, and plasma. Sixteen lipid classes were investigated in this study using reversed-phase liquid chromatography/mass spectrometry. Results showed that all extraction methods had comparable recoveries for all tested lipid classes except lysophosphatidylcholines, lysophosphatidylethanolamines, acyl carnitines, sphingomyelines, and sphingosines. The recoveries of these classes were significantly lower with the MTBE method, which could be compensated by the addition of stable isotope-labeled internal standards prior to lipid extraction. Moreover, IPA and EE methods showed poor reproducibility in extracting lipids from most tested tissues. In general, Folch is the optimum method in terms of efficacy and reproducibility for extracting mouse pancreas, spleen, brain, and plasma. However, MMC and BUME methods are more favored when extracting mouse liver or intestine.

摘要

脂质组学是指对细胞、组织、生物体或生物系统中存在的脂质进行全面表征。影响可靠脂质组学分析的瓶颈之一是从生物样品中提取脂质。理想的提取方法应具有最大的脂质回收率,并能够以可接受的重现性提取广泛的脂质类别。最常见的脂质提取方法依赖于蛋白质沉淀(单相方法)或液-液分配(双相或三相方法)。在本研究中,评估了三种单相提取系统,即异丙醇(IPA)、甲醇/甲基叔丁基醚/氯仿(MMC)和乙酸乙酯/乙醇(EE),以及三种双相提取方法,即福尔克法、丁醇/甲醇/庚烷/乙酸乙酯(BUME)和甲醇/甲基叔丁基醚(MTBE),它们在表征六种不同组织类型(包括胰腺、脾脏、肝脏、大脑、小肠和血浆)的小鼠脂质组方面的性能。本研究使用反相液相色谱/质谱法研究了16种脂质类别。结果表明,除溶血磷脂酰胆碱、溶血磷脂酰乙醇胺、酰基肉碱、鞘磷脂和鞘氨醇外,所有提取方法对所有测试脂质类别的回收率相当。MTBE方法对这些类别的回收率显著较低,这可以通过在脂质提取前添加稳定同位素标记的内标来补偿。此外,IPA和EE方法在从大多数测试组织中提取脂质时重现性较差。总体而言,就提取小鼠胰腺、脾脏、大脑和血浆的效率和重现性而言,福尔克法是最佳方法。然而,在提取小鼠肝脏或小肠时,MMC和BUME方法更受青睐。

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