Suppr超能文献

使用气相色谱-质谱联用仪进行通量组分析。

Fluxome analysis using GC-MS.

作者信息

Wittmann Christoph

机构信息

Biochemical Engineering Institute, Saarland University, Saarbrücken, Germany.

出版信息

Microb Cell Fact. 2007 Feb 7;6:6. doi: 10.1186/1475-2859-6-6.

Abstract

Fluxome analysis aims at the quantitative analysis of in vivo carbon fluxes in metabolic networks, i. e. intracellular activities of enzymes and pathways. It allows investigating the effects of genetic or environmental modifications and thus precisely provides a global perspective on the integrated genetic and metabolic regulation within the intact metabolic network. The experimental and computational approaches developed in this area have revealed fascinating insights into metabolic properties of various biological systems. Most of the comprehensive approaches for metabolic flux studies today involve isotopic tracer studies and GC-MS for measurement of the labeling pattern of metabolites. Initially developed and applied mainly in the field of biomedicine these GC-MS based metabolic flux approaches have been substantially extended and optimized during recent years and today display a key technology in metabolic physiology and biotechnology.

摘要

通量组分析旨在对代谢网络中的体内碳通量进行定量分析,即酶和代谢途径的细胞内活性。它能够研究基因或环境修饰的影响,从而精确地提供关于完整代谢网络内综合遗传和代谢调控的全局视角。该领域开发的实验和计算方法揭示了各种生物系统代谢特性的迷人见解。如今,大多数用于代谢通量研究的综合方法都涉及同位素示踪研究和用于测量代谢物标记模式的气相色谱 - 质谱联用技术。这些基于气相色谱 - 质谱联用技术的代谢通量方法最初主要在生物医学领域开发和应用,近年来得到了大幅扩展和优化,如今已成为代谢生理学和生物技术中的一项关键技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4a9/1805451/40e83a1c7df4/1475-2859-6-6-1.jpg

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