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T细胞激活起始模型中的多重稳态及对抗原的反应函数形式

Multiple steady states and the form of response functions to antigen in a model for the initiation of T-cell activation.

作者信息

Rendall Alan D, Sontag Eduardo D

机构信息

Institut für Mathematik, Johannes Gutenberg-Universität, Staudingerweg 9, D-55099 Mainz, Germany.

Department of Mathematics and the Center for Quantitative Biology, Rutgers University, Piscataway, NJ 08854, USA.

出版信息

R Soc Open Sci. 2017 Nov 8;4(11):170821. doi: 10.1098/rsos.170821. eCollection 2017 Nov.

Abstract

The aim of this paper is to study the qualitative behaviour predicted by a mathematical model for the initial stage of T-cell activation. The state variables in the model are the concentrations of phosphorylation states of the T-cell receptor (TCR) complex and the phosphatase SHP-1 in the cell. It is shown that these quantities cannot approach zero and that the model possesses more than one positive steady state for certain values of the parameters. It can also exhibit damped oscillations. It is proved that the chemical concentration which represents the degree of activation of the cell, that of the maximally phosphorylated form of the TCR complex, is, in general, a non-monotone function of the activating signal. In particular, there are cases where there is a value of the dissociation constant of the ligand from the receptor which produces a maximal activation of the T cell. This suggests that mechanisms taking place in the first few minutes after activation and included in the model studied in this paper suffice to explain the optimal dissociation time seen in experiments. In this way, the results of certain simulations in the literature have been confirmed rigorously and some important features which had not previously been seen have been discovered.

摘要

本文旨在研究一个用于T细胞激活初始阶段的数学模型所预测的定性行为。该模型中的状态变量是细胞中T细胞受体(TCR)复合物的磷酸化状态浓度以及磷酸酶SHP - 1的浓度。结果表明,这些量不会趋近于零,并且对于某些参数值,该模型具有多个正稳态。它还可以表现出阻尼振荡。证明了代表细胞激活程度的化学浓度,即TCR复合物最大磷酸化形式的浓度,通常是激活信号的非单调函数。特别地,存在这样的情况,即配体与受体的解离常数的值会产生T细胞的最大激活。这表明在激活后的最初几分钟内发生且包含在本文所研究模型中的机制足以解释实验中观察到的最佳解离时间。通过这种方式,严格证实了文献中某些模拟的结果,并发现了一些以前未见过的重要特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b193/5717646/184042f06335/rsos170821-g1.jpg

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