Bhalla Ritu, Narasimhan Kothandaraman, Swarup Sanjay
Temasek Life Sciences Laboratory, National University of Singapore, Singapore, Malaysia.
Plant Cell Rep. 2005 Dec;24(10):562-71. doi: 10.1007/s00299-005-0054-9. Epub 2005 Nov 16.
A natural shift is taking place in the approaches being adopted by plant scientists in response to the accessibility of systems-based technology platforms. Metabolomics is one such field, which involves a comprehensive non-biased analysis of metabolites in a given cell at a specific time. This review briefly introduces the emerging field and a range of analytical techniques that are most useful in metabolomics when combined with computational approaches in data analyses. Using cases from Arabidopsis and other selected plant systems, this review highlights how information can be integrated from metabolomics and other functional genomics platforms to obtain a global picture of plant cellular responses. We discuss how metabolomics is enabling large-scale and parallel interrogation of cell states under different stages of development and defined environmental conditions to uncover novel interactions among various pathways. Finally, we discuss selected applications of metabolomics.
随着基于系统的技术平台变得易于获取，植物科学家所采用的方法正在发生自然转变。代谢组学就是这样一个领域，它涉及在特定时间对给定细胞中的代谢物进行全面的无偏差分析。本综述简要介绍了这个新兴领域以及一系列在代谢组学中与数据分析的计算方法相结合时最有用的分析技术。利用拟南芥和其他选定植物系统的案例，本综述强调了如何将代谢组学和其他功能基因组学平台的信息整合起来，以获得植物细胞反应的全局图景。我们讨论了代谢组学如何能够在不同发育阶段和特定环境条件下对细胞状态进行大规模并行研究，以揭示各种途径之间的新相互作用。最后，我们讨论了代谢组学的一些选定应用。
