Recent Advances in Targeted and Untargeted Metabolomics by NMR and MS/NMR Methods.

Q2 Biochemistry, Genetics and Molecular Biology High-Throughput Pub Date : 2018-04-18 DOI:10.3390/ht7020009
Kerem Bingol
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引用次数: 108

Abstract

Metabolomics has made significant progress in multiple fronts in the last 18 months. This minireview aimed to give an overview of these advancements in the light of their contribution to targeted and untargeted metabolomics. New computational approaches have emerged to overcome the manual absolute quantitation step of metabolites in one-dimensional (1D) ¹H nuclear magnetic resonance (NMR) spectra. This provides more consistency between inter-laboratory comparisons. Integration of two-dimensional (2D) NMR metabolomics databases under a unified web server allowed for very accurate identification of the metabolites that have been catalogued in these databases. For the remaining uncatalogued and unknown metabolites, new cheminformatics approaches have been developed by combining NMR and mass spectrometry (MS). These hybrid MS/NMR approaches accelerated the identification of unknowns in untargeted studies, and now they are allowing for profiling ever larger number of metabolites in application studies.

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通过NMR和MS/NMR方法进行靶向和非靶向代谢组学的最新进展。
在过去的18个月里,代谢组学在多个方面取得了重大进展。这篇小型综述旨在根据这些进展对靶向和非靶向代谢组学的贡献对其进行概述。已经出现了新的计算方法来克服一维(1D)´H核磁共振(NMR)光谱中代谢物的手动绝对定量步骤。这使得实验室间的比较更加一致。在统一的网络服务器下集成二维(2D)NMR代谢组学数据库,可以非常准确地识别这些数据库中编目的代谢物。对于剩余的未编目和未知代谢物,通过结合NMR和质谱(MS)开发了新的化学信息学方法。这些混合MS/NMR方法加速了非靶向研究中未知物质的鉴定,现在它们允许在应用研究中分析越来越多的代谢物。
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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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