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A metabolic control analysis approach to introduce the study of systems in biochemistry: the glycolytic pathway in the red blood cell

机译:一种新陈代谢控制分析方法,介绍生物化学系统研究:红细胞中的糖酵解途径

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Metabolic control analysis (MCA) is a promising approach in biochemistry aimed at understanding processes in a quantitative fashion. Here the contribution of enzymes and transporters to the control of a given pathway flux and metabolite concentrations is determined and expressed quantitatively by means of numerical coefficients. Metabolic flux can be influenced by a wide variety of modulators acting on one or more metabolic steps along the pathway. We describe a laboratory exercise to study metabolic regulation of human erythrocytes (RBCs). Within the framework of MCA, students use these cells to determine the sensitivity of the glycolytic flux to two inhibitors (iodoacetic acid: IA, and iodoacetamide: IAA) known to act on the enzyme glyceraldehyde-3-phosphate-dehydrogenase. Glycolytic flux was estimated by determining the concentration of extracellular lactate, the end product of RBC glycolysis. A low-cost colorimetric assay was implemented, that takes advantage of the straightforward quantification of the absorbance signal from the photographic image of the multi-well plate taken with a standard digital camera. Students estimate flux response coefficients for each inhibitor by fitting an empirical function to the experimental data, followed by analytical derivation of this function. IA and IAA exhibit qualitatively different patterns, which are thoroughly analyzed in terms of the physicochemical properties influencing their action on the target enzyme. IA causes highest glycolytic flux inhibition at lower concentration than IAA. This work illustrates the feasibility of using the MCA approach to study key variables of a simple metabolic system, in the context of an upper level biochemistry course. (c) 2018 International Union of Biochemistry and Molecular Biology, 46(5):502-515, 2018.
机译:代谢控制分析(MCA)是旨在以定量方式理解过程的生物化学的有希望的方法。这里,通过数值系数定量地确定酶和转运蛋白对控制给定途径通量和代谢物浓度的贡献。代谢助焊剂可以受到沿着通道的一种或多种代谢步骤的各种调节剂的影响。我们描述了一种研究人红细胞的代谢调节的实验室练习(RBCS)。在MCA的框架内,学生使用这些细胞来确定糖酵解通量对两种抑制剂(碘乙酸:Ia,和碘乙酰胺:IAA)的敏感性,该糖尿病已知作用于酶甘油醛-3-磷酸脱氢酶。通过测定细胞外乳酸盐的浓度,RBC醇糖的最终产物估计糖酵解通量。实施了低成本的比色测定,从而利用来自用标准数码相机拍摄的多孔板的摄影图像的吸光度信号的直接定量。学生通过将经验功能拟合到实验数据,然后进行该功能的分析推导,学生估计每个抑制剂的磁通响应系数。 IA和IAA表现出定性不同的图案,其在影响其对靶酶的作用的物理化学性质方面彻底分析。 Ia在较低浓度低于IAA的糖酵解通量抑制最高。这项工作说明了在上层生物化学课程的背景下使用MCA方法研究简单代谢系统的关键变量的可行性。 (c)2018年国际生物化学和分子生物学联盟,46(5):502-515,2018。

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