Knowns and unknowns in metabolomics identified by multidimensional NMR and hybrid MS/NMR methods

被引:47
|
作者
Bingol, Kerem [1 ]
Bruschweiler, Rafael [2 ,3 ,4 ]
机构
[1] Pacific Northwest Natl Lab, Environm Mol Sci Lab, Richland, WA 99354 USA
[2] Ohio State Univ, Campus Chem Instrument Ctr, Columbus, OH 43210 USA
[3] Ohio State Univ, Dept Chem & Biochem, Columbus, OH 43210 USA
[4] Ohio State Univ, Dept Biol Chem & Pharmacol, Columbus, OH 43210 USA
基金
美国国家卫生研究院;
关键词
NUCLEAR-MAGNETIC-RESONANCE; METABOLITE IDENTIFICATION; COMPLEX-MIXTURES; CHEMICAL-SHIFTS; DATABASE; SPECTROSCOPY; MS; SPECTRA; H-1; STRATEGY;
D O I
10.1016/j.copbio.2016.07.006
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Metabolomics continues to make rapid progress through the development of new and better methods and their applications to gain insight into the metabolism of a wide range of different biological systems from a systems biology perspective. Customization of NMR databases and search tools allows the faster and more accurate identification of known metabolites, whereas the identification of unknowns, without a need for extensive purification, requires new strategies to integrate NMR with mass spectrometry, cheminformatics,. and computational methods. For some applications, the use of covalent and non-covalent attachments in the form of labeled tags or nanoparticles can significantly reduce the complexity of these tasks.
引用
收藏
页码:17 / 24
页数:8
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