化学
代谢组学
色谱法
质谱法
衍生化
分辨率(逻辑)
气相色谱法
气相色谱-质谱法
样品制备
计算生物学
人工智能
计算机科学
生物
作者
Fernanda Rey-Stolle,Danuta Dudzik,Carolina González‐Riano,Miguel Fernández-García,Vanesa Alonso‐Herranz,David Rojo,Coral Barbas,Antonia Garcı́a
标识
DOI:10.1016/j.aca.2021.339043
摘要
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.
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