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代谢组学:用于表征外源性物质毒性和疾病诊断的体液和组织的核磁共振光谱及模式识别分析

Metabonomics: NMR spectroscopy and pattern recognition analysis of body fluids and tissues for characterisation of xenobiotic toxicity and disease diagnosis.

作者信息

Griffin Julian L

机构信息

Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QW, UK.

出版信息

Curr Opin Chem Biol. 2003 Oct;7(5):648-54. doi: 10.1016/j.cbpa.2003.08.008.

DOI:10.1016/j.cbpa.2003.08.008
PMID:14580571
Abstract

Global profiling tools are required to fully understand the impact of genetic modifications and toxicological interventions on the network of transcripts, proteins and metabolites found within a cell, tissue or organism. High-resolution 1H NMR spectroscopy in conjunction with statistical pattern recognition is one such technique, referred to as metabonomics or metabolomics, which is increasingly being used to globally profile metabolites. This review examines analytical advances in NMR spectroscopy that have aided this development including high-resolution magic angle spinning NMR spectroscopy, cryogenically cooled probes and high-through put systems. This has allowed the approach to identify genetically modified yeast strains and distinguish both disease presence and severity in coronary heart disease.

摘要

需要全球分析工具来全面了解基因修饰和毒理学干预对细胞、组织或生物体中转录本、蛋白质和代谢物网络的影响。高分辨率¹H核磁共振光谱结合统计模式识别是一种这样的技术,称为代谢组学,它越来越多地用于对代谢物进行全球分析。本综述探讨了有助于这一发展的核磁共振光谱分析进展,包括高分辨率魔角旋转核磁共振光谱、低温冷却探头和高通量系统。这使得该方法能够识别基因改造的酵母菌株,并区分冠心病的疾病存在情况和严重程度。

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