Botanical Institute II, University of Cologne, Zülpicherstrasse 47b, Cologne, Germany.
Plant J. 2012 Apr;70(1):39-50. doi: 10.1111/j.1365-313X.2012.04902.x.
The main goal of metabolomics is the comprehensive qualitative and quantitative analysis of the time- and space-resolved distribution of all metabolites present in a given biological system. Because metabolite structures, in contrast to transcript and protein sequences, are not directly deducible from the genomic DNA sequence, the massive increase in genomic information is only indirectly of use to metabolomics, leaving compound annotation as a key problem to be solved by the available analytical techniques. Furthermore, as metabolites vary widely in both concentration and chemical behavior, there is no single analytical procedure allowing the unbiased and comprehensive structural elucidation and determination of all metabolites present in a given biological system. In this review the different approaches for targeted and non-targeted metabolomics analysis will be described with special emphasis on mass spectrometry-based techniques. Particular attention is given to approaches which can be employed for the annotation of unknown compounds. In the second part, the different experimental approaches aimed at tissue-specific or subcellular analysis of metabolites are discussed including a range of non-mass spectrometry based technologies.
代谢组学的主要目标是全面定性和定量分析给定生物系统中所有存在代谢物的时空调控分布。由于代谢物结构与转录物和蛋白质序列不同,不能直接从基因组 DNA 序列推导出来,因此基因组信息的大量增加对代谢组学只是间接有用,化合物注释仍然是现有分析技术需要解决的关键问题。此外,由于代谢物在浓度和化学行为上存在很大差异,因此没有单一的分析程序可以用于公正、全面地阐明和确定给定生物系统中存在的所有代谢物。在这篇综述中,将描述靶向和非靶向代谢组学分析的不同方法,特别强调基于质谱的技术。特别关注可用于未知化合物注释的方法。在第二部分中,讨论了针对组织特异性或亚细胞代谢物分析的不同实验方法,包括一系列非质谱技术。