Rey-Stolle Fernanda, Dudzik Danuta, Gonzalez-Riano Carolina, Fernández-García Miguel, Alonso-Herranz Vanesa, Rojo David, Barbas Coral, García Antonia
Centre for Metabolomics and Bioanalysis (CEMBIO), Faculty of Pharmacy, Universidad San Pablo CEU, CEU Universities. Campus Monteprincipe, Boadilla Del Monte, 28668, Madrid, Spain.
Centre for Metabolomics and Bioanalysis (CEMBIO), Faculty of Pharmacy, Universidad San Pablo CEU, CEU Universities. Campus Monteprincipe, Boadilla Del Monte, 28668, Madrid, Spain; Department of Biopharmaceutics and Pharmacodynamics, Faculty of Pharmacy, Medical University of Gdańsk, Poland.
Anal Chim Acta. 2022 Jun 1;1210:339043. doi: 10.1016/j.aca.2021.339043. Epub 2021 Sep 9.
GC-MS for untargeted metabolomics is a well-established technique. Small molecules and molecules made volatile by derivatization can be measured and those compounds are key players in main biological pathways. This tutorial provides ready-to-use protocols for GC-MS-based metabolomics, using either the well-known low-resolution approach (GC-Q-MS) with nominal mass or the more recent high-resolution approach (GC-QTOF-MS) with accurate mass, discussing their corresponding strengths and limitations. Analytical procedures are covered for different types of biofluids (plasma/serum, bronchoalveolar lavage, urine, amniotic fluid) tissue samples (brain/hippocampus, optic nerve, lung, kidney, liver, pancreas) and samples obtained from cell cultures (adipocytes, macrophages, Leishmania promastigotes, mitochondria, culture media). Together with the sample preparation and data acquisition, data processing strategies are described specially focused on Agilent equipments, including deconvolution software and database annotation using spectral libraries. Manual curation strategies and quality control are also deemed. Finally, considerations to obtain a semiquantitative value for the metabolites are also described. As a case study, an illustrative example from one of our experiments at CEMBIO Research Centre, is described and findings discussed.
用于非靶向代谢组学的气相色谱-质谱联用(GC-MS)是一项成熟的技术。小分子以及通过衍生化变为挥发性的分子都可以被检测,这些化合物是主要生物途径中的关键参与者。本教程提供了基于GC-MS的代谢组学即用型方案,使用著名的具有标称质量的低分辨率方法(GC-Q-MS)或更新的具有精确质量的高分辨率方法(GC-QTOF-MS),讨论它们相应的优点和局限性。涵盖了针对不同类型生物流体(血浆/血清、支气管肺泡灌洗液、尿液、羊水)、组织样本(脑/海马体、视神经、肺、肾、肝、胰腺)以及从细胞培养物中获得的样本(脂肪细胞、巨噬细胞、利什曼原虫前鞭毛体、线粒体、培养基)的分析程序。连同样品制备和数据采集一起,特别针对安捷伦设备描述了数据处理策略,包括去卷积软件和使用光谱库的数据库注释。还考虑了人工整理策略和质量控制。最后,也描述了获得代谢物半定量值的注意事项。作为一个案例研究,描述了我们在CEMBIO研究中心的一个实验中的一个说明性例子,并讨论了结果。