Deng Zhenzhen, Mao Jiawei, Wang Yan, Zou Hanfa, Ye Mingliang
From the ‡Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
§Graduate School of Chinese Academy of Sciences, Beijing 100049, China.
Mol Cell Proteomics. 2017 Jan;16(1):135-145. doi: 10.1074/mcp.M116.062869. Epub 2016 Nov 16.
Many important experiments in proteomics including protein digestion, enzyme substrate screening, enzymatic labeling, etc., involve the enzymatic reactions in a complex system where numerous substrates coexists with an enzyme. However, the enzyme kinetics in such a system remains unexplored and poorly understood. Herein, we derived and validated the kinetics equations for the enzymatic reactions in complex system. We developed an iteration approach to depict the enzymatic reactions in complex system. It was validated by 630 time-course points from 24 enzymatic reaction experiments and was demonstrated to be a powerful tool to simulate the reactions in the complex system. By applying this approach, we found that the ratio of substrate depletion is independent of other coexisted substrates under specific condition. This observation was then validated by experiments. Based on this striking observation, a simplified model was developed to determine the catalytic efficiencies of numerous competing substrates presented in the complex enzyme reaction system. When coupled with high-throughput quantitative proteomics technique, this simplified model enabled the accurate determination of catalytic efficiencies for 2369 peptide substrates of a protease by using only one enzymatic reaction experiment. Thus, this study provided, in the first time, a validated model for the large scale determination of specificity constants which could enable the enzyme substrate screening approach turned from a qualitative method of identifying substrates to a quantitative method of identifying and prioritizing substrates. Data are available via ProteomeXchange with identifier PXD004665.
蛋白质组学中的许多重要实验,包括蛋白质消化、酶底物筛选、酶促标记等,都涉及复杂系统中的酶促反应,在此类系统中,众多底物与一种酶共存。然而,此类系统中的酶动力学仍未得到探索,人们对此了解甚少。在此,我们推导并验证了复杂系统中酶促反应的动力学方程。我们开发了一种迭代方法来描述复杂系统中的酶促反应。该方法通过24个酶促反应实验的630个时间进程点进行了验证,并被证明是模拟复杂系统中反应的有力工具。通过应用此方法,我们发现,在特定条件下,底物消耗的比例与其他共存底物无关。这一观察结果随后通过实验得到了验证。基于这一显著观察结果,我们开发了一个简化模型,以确定复杂酶反应系统中众多竞争性底物的催化效率。当与高通量定量蛋白质组学技术相结合时,这个简化模型仅通过一次酶促反应实验就能准确测定一种蛋白酶的2369个肽底物的催化效率。因此,本研究首次提供了一个经过验证的大规模测定特异性常数的模型,该模型可使酶底物筛选方法从一种鉴定底物的定性方法转变为一种鉴定底物并对其进行优先级排序的定量方法。数据可通过ProteomeXchange获得,标识符为PXD004665。