Sengupta Arjun, Weljie Aalim M
Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Institute of Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Curr Protoc Protein Sci. 2019 Dec;98(1):e98. doi: 10.1002/cpps.98.
Metabolomics refers to study of metabolites in biospecimens such as blood serum, tissues, and urine. Nuclear magnetic resonance (NMR) spectroscopy and ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS; mass spectrometry coupled with liquid chromatography) are most frequently employed to analyze complex biological/clinical samples. NMR is a relatively insensitive tool compared to UPLC-MS/MS but offers straightforward quantification and identification and easy sample processing. One-dimensional H NMR spectroscopy is inherently quantitative and can be readily used for metabolite quantification without individual metabolite standards. Two-dimensional spectroscopy is most commonly used for identification of metabolites but can also be used quantitatively. Although NMR experiments are unbiased regarding the chemical nature of the analyte, it is crucial to adhere to the proper metabolite extraction protocol for optimum results. Selection and implementation of appropriate NMR pulse programs are also important. Finally, employment of the correct metabolite quantification strategy is crucial as well. In this unit, step-by-step guidance for running an NMR metabolomics experiment from typical biospecimens is presented. The unit describes an optimized metabolite extraction protocol, followed by implementation of NMR experiments and quantification strategies using the so-called "targeted profiling" technique. This approach relies on an underlying basis set of metabolite spectra acquired under similar conditions. Some strategies for statistical analysis of the data are also presented. Overall, this set of protocols should serve as a guide for anyone who wishes to enter the world of NMR-based metabolomics analysis. © 2019 by John Wiley & Sons, Inc. Basic Protocol 1: Metabolite extraction from different biospecimens Basic Protocol 2: Preparation of dried upper fraction for NMR analysis Alternate Protocol: Preparation of urine samples for NMR analysis Basic Protocol 3: NMR experiments Basic Protocol 4: Spectral processing and quantification of metabolites Basic Protocol 5: Statistical analysis of the data.
代谢组学是指对生物样本(如血清、组织和尿液)中的代谢物进行研究。核磁共振(NMR)光谱法和超高效液相色谱-串联质谱法(UPLC-MS/MS;质谱联用液相色谱)是最常用于分析复杂生物/临床样本的方法。与UPLC-MS/MS相比,NMR是一种相对不灵敏工具,但具有直接定量和鉴定以及样品处理简便的优点。一维氢核磁共振光谱本质上是定量的,无需单个代谢物标准品即可轻松用于代谢物定量。二维光谱最常用于代谢物鉴定,但也可用于定量分析。尽管NMR实验对分析物的化学性质没有偏向性,但遵循适当的代谢物提取方案以获得最佳结果至关重要。选择和实施合适的NMR脉冲程序也很重要。最后,采用正确的代谢物定量策略同样至关重要。在本单元中,将介绍从典型生物样本进行NMR代谢组学实验的分步指南。本单元描述了优化的代谢物提取方案,随后使用所谓的“靶向分析”技术实施NMR实验和定量策略。这种方法依赖于在相似条件下获取的一组基本代谢物光谱。还介绍了一些数据统计分析策略。总体而言,这组方案应为任何希望进入基于NMR的代谢组学分析领域的人提供指导。© 2019约翰威立国际出版公司。基本方案1:从不同生物样本中提取代谢物 基本方案2:制备用于NMR分析的干燥上层部分 替代方案:制备用于NMR分析的尿液样本 基本方案3:NMR实验 基本方案4:代谢物的光谱处理和定量 基本方案5:数据的统计分析。