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使用多种示踪剂进行13C代谢通量分析。

Using multiple tracers for 13C metabolic flux analysis.

作者信息

Antoniewicz Maciek R

机构信息

Metabolic Engineering and Systems Biology Laboratory, Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA.

出版信息

Methods Mol Biol. 2013;985:353-65. doi: 10.1007/978-1-62703-299-5_17.

Abstract

(13)C-Metabolic flux analysis ((13)C-MFA) is a powerful technique for quantifying intracellular metabolic fluxes in living cells. These in vivo fluxes provide important information on the physiology of cells in culture, which can be used for metabolic engineering purposes and serve as inputs for systems biology modeling. The (13)C-MFA technique consists of several steps: (1) selecting appropriate tracers for a given system of interest, (2) performing isotopic labeling experiments, (3) measuring isotopic labeling distributions in metabolic products, (4) estimating metabolic fluxes using least-squares regression, and (5) evaluating the goodness of fit and computing confidence intervals for estimated fluxes. In this chapter, we provide guidelines for performing (13)C-MFA studies using multiple isotopic tracers, a technique that is especially useful for elucidating fluxes in complex biological systems where multiple carbon sources are present. Here, as an example, we describe key steps and decision points for designing (13)C-MFA studies for microbes grown on mixtures of glucose and xylose. The general concepts described in this chapter are applicable to many other biological systems. For example, the same procedures can be applied to design (13)C-MFA studies in mammalian cells, which are generally grown in complex media containing multiple substrates such as glucose and amino acids.

摘要

(13)C-代谢通量分析((13)C-MFA)是一种用于定量活细胞内代谢通量的强大技术。这些体内通量提供了有关培养细胞生理学的重要信息,可用于代谢工程目的,并作为系统生物学建模的输入。(13)C-MFA技术包括几个步骤:(1)为给定的感兴趣系统选择合适的示踪剂;(2)进行同位素标记实验;(3)测量代谢产物中的同位素标记分布;(4)使用最小二乘法回归估计代谢通量;(5)评估拟合优度并计算估计通量的置信区间。在本章中,我们提供了使用多种同位素示踪剂进行(13)C-MFA研究的指南,这是一种特别有助于阐明存在多种碳源的复杂生物系统中通量的技术。在此,作为示例,我们描述了为在葡萄糖和木糖混合物上生长的微生物设计(13)C-MFA研究的关键步骤和决策点。本章中描述的一般概念适用于许多其他生物系统。例如,相同的程序可应用于设计哺乳动物细胞中的(13)C-MFA研究,哺乳动物细胞通常在含有多种底物(如葡萄糖和氨基酸)的复杂培养基中生长。

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