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代谢组学分析中的现代分析技术。

Modern analytical techniques in metabolomics analysis.

机构信息

National TCM Key Lab of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.

出版信息

Analyst. 2012 Jan 21;137(2):293-300. doi: 10.1039/c1an15605e. Epub 2011 Nov 21.

Abstract

Metabolomics is the comprehensive assessment of endogenous metabolites and attempts to systematically identify and quantify metabolites from a biological sample. Small-molecule metabolites have an important role in biological systems and represent attractive candidates to understand disease phenotypes. Metabolites represent a diverse group of low-molecular-weight structures including lipids, amino acids, peptides, nucleic acids, organic acids, vitamins, thiols and carbohydrates, which makes global analysis a difficult challenge. The recent rapid development of a range of analytical platforms, including GC, HPLC, UPLC, CE coupled to MS and NMR spectroscopy, could enable separation, detection, characterization and quantification of such metabolites and related metabolic pathways. Owing to the complexity of the metabolome and the diverse properties of metabolites, no single analytical platform can be applied to detect all metabolites in a biological sample. The combined use of modern instrumental analytical approaches has unravelled the ideal outcomes in metabolomics, and is beneficial to increase the coverage of detected metabolites that can not be achieved by single-analysis techniques. Integrated platforms have been frequently used to provide sensitive and reliable detection of thousands of metabolites in a biofluid sample. Continued development of these analytical platforms will accelerate widespread use and integration of metabolomics into systems biology. Here, the application of each hyphenated technique is discussed and its strengths and limitations are discussed with selected illustrative examples; furthermore, this review comprehensively highlights the role of integrated tools in metabolomic research.

摘要

代谢组学是对内源性代谢物的全面评估,试图从生物样本中系统地鉴定和定量代谢物。小分子代谢物在生物系统中起着重要作用,是了解疾病表型的有吸引力的候选物。代谢物代表了一组包括脂质、氨基酸、肽、核酸、有机酸、维生素、硫醇和碳水化合物在内的低分子量结构的多样性,这使得全面分析成为一项具有挑战性的任务。最近,一系列分析平台的快速发展,包括 GC、HPLC、UPLC、CE 与 MS 和 NMR 光谱学的联用,使得能够分离、检测、鉴定和定量这些代谢物和相关代谢途径。由于代谢组的复杂性和代谢物的多样性,没有单一的分析平台可以用于检测生物样本中的所有代谢物。现代仪器分析方法的综合应用揭示了代谢组学的理想结果,并有助于增加通过单一分析技术无法检测到的代谢物的检测覆盖率。综合平台已被广泛用于提供对生物流体样本中数千种代谢物的灵敏和可靠检测。这些分析平台的持续发展将加速代谢组学在系统生物学中的广泛应用和整合。在这里,讨论了每种联用技术的应用,并结合选定的示例讨论了其优缺点;此外,本综述全面强调了综合工具在代谢组学研究中的作用。

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