Weckwerth Wolfram
Molecular Systems Biology, University of Vienna, Althanstr. 14, 1090 Vienna, Austria.
Bioanalysis. 2010 Apr;2(4):829-36. doi: 10.4155/bio.09.192.
Metabolomics is the unbiased identification and state-specific quantification of all metabolites in a cell, tissue or whole organism, and has developed rapidly into one of the cornerstones of postgenomic techniques for the quantitative analysis of molecular phenotypes. These large-scale analyses of metabolites are intimately bound to advancements in MS technologies and have emerged in parallel with the development of novel mass analyzers and hyphenated techniques, as well as with the combination of different techniques to cope with the physicochemical diversity of a metabolome. This review gives a brief description of the development and applications of these technologies in biochemistry and systems biology, and discusses their significance in the postgenomic era. Especially, the systematic relation between high-throughput metabolomic data and their interpretation with respect to the underlying biochemical regulatory network is discussed.
代谢组学是对细胞、组织或整个生物体中所有代谢物进行无偏向性鉴定和特定状态定量分析的技术，已迅速发展成为后基因组技术中用于分子表型定量分析的基石之一。这些大规模代谢物分析与质谱技术的进步紧密相关，随着新型质量分析器、联用技术的发展以及不同技术的结合以应对代谢组的物理化学多样性而应运而生。本文综述简要介绍了这些技术在生物化学和系统生物学中的发展与应用，并探讨了它们在后基因组时代的意义。特别地，还讨论了高通量代谢组学数据与基于潜在生化调控网络的解读之间的系统关系。
