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代谢系统对酶活性和效应物大幅变化的反应。1. 无分支链的线性处理

Responses of metabolic systems to large changes in enzyme activities and effectors. 1. The linear treatment of unbranched chains.

作者信息

Small J R, Kacser H

机构信息

Department of Genetics, University of Edinburgh, Scotland.

出版信息

Eur J Biochem. 1993 Apr 1;213(1):613-24. doi: 10.1111/j.1432-1033.1993.tb17801.x.

DOI:10.1111/j.1432-1033.1993.tb17801.x
PMID:8477732
Abstract

This first paper in a series investigates the problem of predicting and analysing the effects of large changes in enzyme activities or external nutrients/effectors on metabolic fluxes. We introduce the concept of a deviation index, D, which gives a measure of the relative change in a metabolic variable (e.g. flux) due to a large (non-infinitesimal) relative change in a parameter (e.g. enzyme). Using simplifying kinetic assumptions we have found, for an unbranched metabolic chain, a direct relationship between deviation indices and flux control coefficients. This relationship provides a method to estimate flux control coefficients using a single large change in enzyme activity. We also provide a method of predicting the effects of, for example, DNA manipulation or other techniques for enzyme activity/concentration changes on metabolic fluxes. Up-modulations of single enzymes rarely produce significant changes in fluxes. We show that combined changes of activity of a group of enzymes will produce a more than 'additive' response. We provide a method of predicting the effects of these combined changes, given either the flux control coefficients of the group of enzymes or the effects on the flux of changing the enzymes individually. A similar analysis is carried out for large changes in external nutrients or effectors. These amplification factors, f, give experimentally accessible estimates of the expected changes in metabolic variables. We provide three 'case studies' to illustrate our results.

摘要

本系列的第一篇论文研究了预测和分析酶活性或外部营养物质/效应物的大幅变化对代谢通量的影响这一问题。我们引入了偏差指数D的概念,它衡量了由于参数(如酶)的大幅(非无穷小)相对变化而导致的代谢变量(如通量)的相对变化。利用简化的动力学假设,我们发现,对于一个无分支的代谢链,偏差指数与通量控制系数之间存在直接关系。这种关系提供了一种利用酶活性的单次大幅变化来估计通量控制系数的方法。我们还提供了一种预测例如DNA操作或其他改变酶活性/浓度的技术对代谢通量影响的方法。单个酶的上调很少会使通量产生显著变化。我们表明,一组酶活性的联合变化将产生超过“相加”的响应。给定一组酶的通量控制系数或单独改变酶对通量的影响,我们提供了一种预测这些联合变化影响的方法。对外部营养物质或效应物的大幅变化进行了类似的分析。这些放大因子f给出了代谢变量预期变化的实验可及估计值。我们提供了三个“案例研究”来说明我们的结果。

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