Arjun Sengupta, A. Weljie
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{"title":"NMR Spectroscopy–Based Metabolic Profiling of Biospecimens","authors":"Arjun Sengupta, A. Weljie","doi":"10.1002/cpps.98","DOIUrl":null,"url":null,"abstract":"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 1H 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.","PeriodicalId":10866,"journal":{"name":"Current Protocols in Protein Science","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpps.98","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols in Protein Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/cpps.98","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 7
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基于核磁共振光谱的生物标本代谢谱分析
代谢组学是指研究生物标本中的代谢物,如血清、组织和尿液。核磁共振(NMR)光谱和超高效液相色谱-串联质谱(UPLC - MS/MS);质谱法和液相色谱法最常用于分析复杂的生物/临床样品。与UPLC‐MS/MS相比,NMR是一种相对不敏感的工具,但提供了直接的定量和鉴定以及简单的样品处理。一维1H NMR光谱本质上是定量的,可以很容易地用于代谢物的定量,而不需要单独的代谢物标准。二维光谱法最常用于代谢物的鉴定,但也可用于定量。虽然核磁共振实验对分析物的化学性质是公正的,但为了获得最佳结果,坚持适当的代谢物提取方案是至关重要的。选择和实施合适的核磁共振脉冲程序也很重要。最后,采用正确的代谢物定量策略也是至关重要的。在本单元中,介绍了从典型生物标本中运行核磁共振代谢组学实验的一步一步指导。该单元描述了一种优化的代谢物提取方案,随后实施了核磁共振实验和使用所谓的“靶向分析”技术的定量策略。这种方法依赖于在类似条件下获得的代谢物光谱的基础集。并提出了一些数据统计分析的策略。总的来说,这组协议应该作为任何希望进入基于核磁共振代谢组学分析世界的人的指南。©2019 by John Wiley & Sons, Inc。
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