Spectroscopic and Statistical Techniques for Information Recovery in Metabonomics and Metabolomics
Spectroscopic and Statistical Techniques for Information Recovery in Metabonomics and Metabolomics
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DOI：
10.1146/annurev.anchem.1.031207.113026
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发表时间：
2008-01-01
影响因子：
8
通讯作者：
Nicholson, Jeremy K.
中科院分区：
文献类型：
--
作者：
Lindon, John C.;Nicholson, Jeremy K.
基于核磁共振（NMR）光谱质谱（MS）和化学计量学分析方法的代谢谱的生成和解释方法进行了总结，并讨论了NMR和色谱耦合MS方法的相对优势和劣势。考虑到所有数据集测量的日期，探针子集的复杂的代谢概况，我们描述了最近的发展，增强信息恢复，前面所产生的复杂的数据集，包括整合NMR和MS为基础的代谢组学的结果和代谢组学数据与数据的组合，从蛋白质组学，转录组学和基因组学。我们总结了应用的广度，突出声波当前的活动，讨论有关代谢组学的问题，并确定未来的趋势。
Methods for generating and interpreting metabolic profiles based on nuclear magnetic resonance (NMR) spectroscopy mass spectrometry (MS), and chemometric analysis methods are summarized and the relative strengths and weaknesses of NMR and chromatography coupled MS approaches are discussed. Given that all data sets measured to date only, probe subsets of complex metabolic profiles, we describe recent developments for enhanced information recover,,, front the resulting complex data sets, including integration of NMR and MS-based metabonomic results and combination of metabonomic data with data from proteomics, transcriptomics, and genomics. We summarize the breadth of applications, highlight sonic current activities, discuss the issues relating to metabonomics, and identify future trends.