Suppr超能文献

代谢组学和代谢组学中信息恢复的光谱和统计技术。

Spectroscopic and statistical techniques for information recovery in metabonomics and metabolomics.

机构信息

Department of Biomolecular Medicine, Imperial College London, United Kingdom.

出版信息

Annu Rev Anal Chem (Palo Alto Calif). 2008;1:45-69. doi: 10.1146/annurev.anchem.1.031207.113026.

Abstract

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 recovery from 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 some current activities, discuss the issues relating to metabonomics, and identify future trends.

摘要

方法生成和解释代谢物基于核磁共振( NMR )波谱,质谱( MS )和化学计量学分析方法的总结和相对优势和劣势的 NMR 和色谱法耦合 MS 的方法进行了讨论。鉴于迄今为止所有的数据集测量只探测复杂代谢物的子集,我们描述了从复杂的数据集中增强信息恢复的最新进展,包括基于 NMR 和 MS 的代谢组学结果的整合以及代谢组学数据与蛋白质组学、转录组学和基因组学数据的结合。我们总结了广泛的应用,突出了一些当前的活动,讨论了与代谢组学相关的问题,并确定了未来的趋势。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验