Suppr超能文献

采用气相色谱-质谱联用技术对秀丽隐杆线虫中脂质种类进行定量分析。

Quantitative Profiling of Lipid Species in Caenorhabditis elegans with Gas Chromatography-Mass Spectrometry.

机构信息

Center for Translational Epidemiology and Comparative Effectiveness Research, Boston University School of Medicine, Boston, MA, USA.

Department of Medicine, Endocrine Division, and Diabetes Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

出版信息

Methods Mol Biol. 2020;2144:111-123. doi: 10.1007/978-1-0716-0592-9_10.

Abstract

Gas chromatography-mass spectrometry (GC-MS) enables sensitive detection and relative quantification of fatty acids. In Caenorhabditis elegans, the use of GC-MS can corroborate findings from common staining methodologies, providing great resolution on the lipid species altered in abundance in aging, genetic mutants, or with dietary or pharmacologic manipulation. Here we describe a method to quantitate relative abundance of fatty acids in total worm lipid extracts, as well as a method that quantitates fatty acids following separation into neutral lipid pools (triacylglycerols and cholesteryl esters) versus more polar lipids (phospholipids) by solid-phase extraction (SPE).

摘要

气相色谱-质谱联用(GC-MS)可实现脂肪酸的灵敏检测和相对定量。在秀丽隐杆线虫中,GC-MS 的使用可以证实常见染色方法学的发现,从而在衰老、遗传突变体或饮食或药物处理中丰度改变的脂质种类上提供更高的分辨率。在这里,我们描述了一种定量总虫体脂提取物中脂肪酸相对丰度的方法,以及一种通过固相萃取(SPE)将脂肪酸分离为中性脂质池(三酰基甘油和胆固醇酯)与更极性脂质(磷脂)后定量脂肪酸的方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验