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Strategies for investigating the plant metabolic network withTI Strategies for investigating the plant metabolic network with steady-state metabolic flux analysis: lessons from an Arabidopsis cell culture and other systems

机译:用稳态代谢通量分析调查植物代谢网络的策略研究植物代谢网络的策略:拟南芥细胞培养和其他系统的课程

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Steady-state C-13 metabolic flux analysis (MFA) is currently the experimental method of choice for generating flux maps of the compartmented network of primary metabolism in heterotrophic and mixotrophic plant tissues. While statistically robust protocols for the application of steady-state MFA to plant tissues have been developed by several research groups, the implementation of the method is still far from routine. The effort required to produce a flux map is more than justified by the information that it contains about the metabolic phenotype of the system, but it remains the case that steady-state MFA is both analytically and computationally demanding. This article provides an overview of principles that underpin the implementation of steady-state MFA, focusing on the definition of the metabolic network responsible for redistribution of the label, experimental considerations relating to data collection, the modelling process that allows a set of metabolic fluxes to be deduced from the labelling data, and the interpretation of flux maps. The article draws on published studies of Arabidopsis cell cultures and other systems, including developing oilseeds, with the aim of providing practical guidance and strategies for handling the issues that arise when applying steady-state MFA to the complex metabolic networks encountered in plants.
机译:稳态C-13代谢通量分析(MFA)是目前用于在异养和混纺植物组织中产生初级代谢网络的流动映射的选择方法。虽然若干研究组开发了统计上稳健的稳健协议对植物组织进行植物组织的影响,但该方法的实施仍然远离常规。产生通量映射所需的努力不仅仅是由其含有系统的代谢表型的信息,而且仍然是稳态MFA在分析和计算上要求的情况。本文概述了支撑稳态MFA的实施的原则,专注于负责标签重新分配的代谢网络的定义,与数据收集有关的实验考虑,允许一组代谢通量的建模过程从标签数据推断,并对磁通贴图的解释。本文涉及拟南芥细胞培养物和其他系统的公布研究,包括开发油籽,目的是提供实际的指导和策略,用于处理将稳态MFA施加到植物中遇到的复杂代谢网络时出现的问题。

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