High-resolution magic-angle-spinning NMR spectroscopy for metabolic profiling of intact tissues

被引:0
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作者
Olaf Beckonert
Muireann Coen
Hector C Keun
Yulan Wang
Timothy M D Ebbels
Elaine Holmes
John C Lindon
Jeremy K Nicholson
机构
[1] Biomolecular Medicine,Department of Surgery and Cancer
[2] Faculty of Medicine,undefined
[3] Imperial College London,undefined
[4] State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics,undefined
[5] Wuhan Centre for Magnetic Resonance,undefined
[6] Wuhan Institute of Physics and Mathematics,undefined
[7] The Chinese Academy of Sciences,undefined
来源
Nature Protocols | 2010年 / 5卷
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摘要
Metabolic profiling, metabolomic and metabonomic studies require robust study protocols for any large-scale comparisons and evaluations. Detailed methods for solution-state NMR spectroscopy have been summarized in an earlier protocol. This protocol details the analysis of intact tissue samples by means of high-resolution magic-angle-spinning (HR-MAS) NMR spectroscopy and we provide a detailed description of sample collection, preparation and analysis. Described here are 1H NMR spectroscopic techniques such as the standard one-dimensional, relaxation-edited, diffusion-edited and two-dimensional J-resolved pulse experiments, as well as one-dimensional 31P NMR spectroscopy. These are used to monitor different groups of metabolites, e.g., sugars, amino acids and osmolytes as well as larger molecules such as lipids, non-invasively. Through the use of NMR-based diffusion coefficient and relaxation times measurements, information on molecular compartmentation and mobility can be gleaned. The NMR methods are often combined with statistical analysis for further metabonomics analysis and biomarker identification. The standard acquisition time per sample is 8–10 min for a simple one-dimensional 1H NMR spectrum, giving access to metabolite information while retaining tissue integrity and hence allowing direct comparison with histopathology and MRI/MRS findings or the evaluation together with biofluid metabolic-profiling data.
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页码:1019 / 1032
页数:13
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