大变化的代谢控制分析:扩展到可变弹性系数。

L Acerenza, F Ortega
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引用次数: 10

摘要

模块化方法是处理复杂性的强大系统生物学策略。它们包括在概念上把所有与研究问题无关的东西集中起来,明确地留下感兴趣的部分。模块化(或自上而下)代谢控制分析是一种研究复杂代谢系统灵敏度特性的理论和实验方法。最初,它被设想为无限小的变化,但最近,它开始发展为大的代谢变化。这种方法的一个核心结果是,由控制系数表示的系统属性可以表示为孤立模块属性的函数,即弹性系数。在这里,我们将大变化的理论扩展到弹性系数取决于变化程度的情况。该理论被用于分析与控制大肠杆菌中糖酵解通量有关的实验数据。我们的分析表明,大变化的控制模式在数量和质量上都不同于应用无穷小处理得到的控制模式。
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Metabolic control analysis for large changes: extension to variable elasticity coefficients.

Modular approaches are powerful systems biology strategies to deal with complexity. They consist in lumping conceptually all that is irrelevant to the problem under study, leaving explicit the portions of interest. Modular (or top-down) metabolic control analysis is a theoretical and experimental approach to study the sensitivity properties of complex metabolic systems. Initially, it was conceived for infinitesimal changes but, recently, it started to be developed for large metabolic changes. A central result of this approach is that the systemic properties, represented by control coefficients, can be expressed as a function of the properties of isolated modules, the elasticity coefficients. Here we extend the theory for large changes to the case that the elasticity coefficients depend on the extent of the change. The novel theory is used to analyse experimental data related to the control of glycolytic flux in Escherichia coli. Our analysis shows that the pattern of control for large changes is quantitatively and qualitatively different from the one obtained applying the infinitesimal treatment.

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