Rai Amit, Umashankar Shivshankar, Swarup Sanjay
Metabolites Biology Lab, Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
Methods Mol Biol. 2013;1069:279-312. doi: 10.1007/978-1-62703-613-9_19.
Metabolomics is one of the most recent additions to the functional genomics approaches. It involves the use of analytical chemistry techniques to provide high-density data of metabolic profiles. Data is then analyzed using advanced statistics and databases to extract biological information, thus providing the metabolic phenotype of an organism. Large variety of metabolites produced by plants through the complex metabolic networks and their dynamic changes in response to various perturbations can be studied using metabolomics. Here, we describe the basic features of plant metabolic diversity and analytical methods to describe this diversity, which includes experimental workflows starting from experimental design, sample preparation, hardware and software choices, combined with knowledge extraction methods. Finally, we describe a scenario for using these workflows to identify differential metabolites and their pathways from complex biological samples.
代谢组学是功能基因组学方法中最新增加的内容之一。它涉及使用分析化学技术来提供代谢谱的高密度数据。然后使用先进的统计学方法和数据库对数据进行分析，以提取生物学信息，从而提供生物体的代谢表型。利用代谢组学可以研究植物通过复杂代谢网络产生的各种各样的代谢物及其对各种扰动的动态变化。在这里，我们描述了植物代谢多样性的基本特征以及描述这种多样性的分析方法，其中包括从实验设计、样品制备、硬件和软件选择开始的实验工作流程，以及知识提取方法。最后，我们描述了一种使用这些工作流程从复杂生物样品中鉴定差异代谢物及其途径的方案。
