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细菌趋化作用中的兴奋与适应模型。

A model of excitation and adaptation in bacterial chemotaxis.

作者信息

Spiro P A, Parkinson J S, Othmer H G

机构信息

Department of Mathematics, University of Utah, Salt Lake City, UT 84112, USA.

出版信息

Proc Natl Acad Sci U S A. 1997 Jul 8;94(14):7263-8. doi: 10.1073/pnas.94.14.7263.

DOI:10.1073/pnas.94.14.7263
PMID:9207079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC23809/
Abstract

Bacterial chemotaxis is widely studied because of its accessibility and because it incorporates processes that are important in a number of sensory systems: signal transduction, excitation, adaptation, and a change in behavior, all in response to stimuli. Quantitative data on the change in behavior are available for this system, and the major biochemical steps in the signal transduction/processing pathway have been identified. We have incorporated recent biochemical data into a mathematical model that can reproduce many of the major features of the intracellular response, including the change in the level of chemotactic proteins to step and ramp stimuli such as those used in experimental protocols. The interaction of the chemotactic proteins with the motor is not modeled, but we can estimate the degree of cooperativity needed to produce the observed gain under the assumption that the chemotactic proteins interact directly with the motor proteins.

摘要

细菌趋化性因其易于研究且包含了许多感觉系统中重要的过程而被广泛研究

信号转导、兴奋、适应以及行为改变,所有这些都对刺激做出反应。该系统有关于行为变化的定量数据,并且信号转导/处理途径中的主要生化步骤已被确定。我们已将最新的生化数据纳入一个数学模型,该模型能够重现细胞内反应的许多主要特征,包括趋化蛋白水平对阶跃和斜坡刺激(如实验方案中所使用的那些刺激)的变化。趋化蛋白与运动蛋白的相互作用未被建模,但在趋化蛋白直接与运动蛋白相互作用的假设下,我们可以估计产生观察到的增益所需的协同程度。

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