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Kinetic proofreading models for cell signaling predict ways to escape kinetic proofreading

机译:用于细胞信号传导的动力学校对模型可预测逃脱动力学校对的方法

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摘要

In the context of cell signaling, kinetic proofreading was introduced to explain how cells can discriminate among ligands based on a kinetic parameter, the ligand-receptor dissociation rate constant. In the kinetic proofreading model of cell signaling, responses occur only when a bound receptor undergoes a complete series of modifications. If the ligand dissociates prematurely, the receptor returns to its basal state and signaling is frustrated. We extend the model to deal with systems where aggregation of receptors is essential to signal transduction, and present a version of the model for systems where signaling depends on an extrinsic kinase. We also investigate the kinetics of signaling molecules, “messengers,” that are generated by aggregated receptors but do not remain associated with the receptor complex. We show that the extended model predicts modes of signaling that exhibit kinetic discrimination for some range of parameters but for other parameter values show little or no discrimination and thus escape kinetic proofreading. We compare model predictions with experimental data.
机译:在细胞信号传导的背景下,引入了动力学校对来解释细胞如何基于动力学参数(配体-受体解离速率常数)来区分配体。在细胞信号传导的动力学校对模型中,仅当结合的受体经历了一系列完整的修饰时才发生应答。如果配体过早解离,受体将恢复其基础状态,信号传导受阻。我们扩展该模型以处理其中受体的聚集对于信号转导必不可少的系统,并为信号依赖于外在激酶的系统提供模型的一种版本。我们还研究了由聚集受体产生但不与受体复合物缔合的信号分子“信使”的动力学。我们表明,扩展模型预测的信号模式表现出对某些参数范围的动力学鉴别,而对其他参数值则几乎没有鉴别或没有鉴别,从而逃避了动力学校对。我们将模型预测与实验数据进行比较。

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