代谢物谱分析的方法、应用和概念:初级代谢。

EXS Pub Date : 2007-01-01 DOI:10.1007/978-3-7643-7439-6_8
Dirk Steinhauser, Joachim Kopka
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引用次数: 0

摘要

在20世纪90年代,对生物系统中的代谢补体进行综合分析的概念,被称为代谢组学或代谢组学,被确立为后基因组时代表型研究的四个基石中的最后一个。随着基因组学、转录组学和蛋白质组学技术的发展以及代谢组学表型的快速发展,所有必要的工具似乎都可以在所有主要系统的生命水平上对生物现象进行全面的功能评估。本章试图描述和讨论建立和维护基于气相色谱/电子冲击电离/质谱(GC-EI-MS)的代谢物分析平台的关键步骤。GC-EI-MS可以被认为是第一个用于同时和无偏差分析生物样品初级代谢物的典型分析技术。这种分析技术的潜力和限制是最容易理解的。大多数问题都得到了解决,同时也发现了隐患。因此,GC-EI-MS为有意进入代谢组学领域的学生和科学家提供了一个理想的例子。本章将偏向于GC-EI-MS分析,但旨在讨论一般主题,如实验设计,代谢物鉴定,定量和数据挖掘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods, applications and concepts of metabolite profiling: primary metabolism.

In the 1990s the concept of a comprehensive analysis of the metabolic complement in biological systems, termed metabolomics or alternately metabonomics, was established as the last of four cornerstones for phenotypic studies in the post-genomic era. With genomic, transcriptomic, and proteomic technologies in place and metabolomic phenotyping under rapid development all necessary tools appear to be available today for a fully functional assessment of biological phenomena at all major system levels of life. This chapter attempts to describe and discuss crucial steps of establishing and maintaining a gas chromatography/electron impact ionization/ mass spectrometry (GC-EI-MS)-based metabolite profiling platform. GC-EI-MS can be perceived as the first and exemplary profiling technology aimed at simultaneous and non-biased analysis of primary metabolites from biological samples. The potential and constraints of this profiling technology are among the best understood. Most problems are solved as well as pitfalls identified. Thus GC-EI-MS serves as an ideal example for students and scientists who intend to enter the field of metabolomics. This chapter will be biased towards GC-EI-MS analyses but aims at discussing general topics, such as experimental design, metabolite identification, quantification and data mining.

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