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Metabolic Control Analysis: A Tool for Designing Strategies to Manipulate Metabolic Pathways

机译:代谢控制分析:一种设计策略来操纵代谢途径的工具

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The traditional experimental approaches used for changing the flux or the concentration of a particular metabolite of a metabolic pathway have been mostly based on the inhibition or over-expression of the presumed rate-limiting step. However, the attempts to manipulate a metabolic pathway by following such approach have proved to be unsuccessful. Metabolic Control Analysis (MCA) establishes how to determine, quantitatively, the degree of control that a given enzyme exerts on flux and on the concentration of metabolites, thus substituting the intuitive, qualitative concept of rate limiting step. Moreover, MCA helps to understand (i) the underlying mechanisms by which a given enzyme exerts high or low control and (ii) why the control of the pathway is shared by several pathway enzymes and transporters. By applying MCA it is possible to identify the steps that should be modified to achieve a successful alteration of flux or metabolite concentration in pathways of biotechnological (e.g., large scale metabolite production) or clinical relevance (e.g., drug therapy). The different MCA experimental approaches developed for the determination of the flux-control distribution in several pathways are described. Full understanding of the pathway properties when working under a variety of conditions can help to attain a successful manipulation of flux and metabolite concentration.
机译:用于改变代谢途径的特定代谢物的通量或浓度的传统实验方法主要是基于对假定的限速步骤的抑制或过表达。然而,已经证明通过遵循这种方法来操纵代谢途径的尝试是不成功的。代谢控制分析(MCA)建立了如何定量确定给定酶对通量和代谢物浓度施加控制的程度,从而取代了限速步骤的直观,定性概念。此外,MCA有助于理解(i)给定酶发挥高控制或低控制作用的基本机制,以及(ii)几种途径酶和转运蛋白为何共同控制该途径。通过应用MCA,有可能确定应该修改的步骤,以成功改变生物技术(例如大规模代谢产物的产生)或临床相关性(例如药物治疗)的通量或代谢物浓度。描述了为确定几种途径中的通量控制分布而开发的不同MCA实验方法。在各种条件下工作时,充分了解途径的特性有助于成功地控制通量和代谢物的浓度。

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