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Interpreting Frequency Responses to Dose-Conserved Pulsatile Input Signals in Simple Cell Signaling Motifs

机译:解释简单单元信号母题中对剂量守恒的脉冲输入信号的频率响应

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摘要

Many hormones are released in pulsatile patterns. This pattern can be modified, for instance by changing pulse frequency, to encode relevant physiological information. Often other properties of the pulse pattern will also change with frequency. How do signaling pathways of cells targeted by these hormones respond to different input patterns? In this study, we examine how a given dose of hormone can induce different outputs from the target system, depending on how this dose is distributed in time. We use simple mathematical models of feedforward signaling motifs to understand how the properties of the target system give rise to preferences in input pulse pattern. We frame these problems in terms of frequency responses to pulsatile inputs, where the amplitude or duration of the pulses is varied along with frequency to conserve input dose. We find that the form of the nonlinearity in the steady state input-output function of the system predicts the optimal input pattern. It does so by selecting an optimal input signal amplitude. Our results predict the behavior of common signaling motifs such as receptor binding with dimerization, and protein phosphorylation. The findings have implications for experiments aimed at studying the frequency response to pulsatile inputs, as well as for understanding how pulsatile patterns drive biological responses via feedforward signaling pathways.
机译:许多激素以搏动形式释放。可以例如通过改变脉冲频率来修改该模式以编码相关的生理信息。通常,脉冲模式的其他属性也会随频率变化。这些激素靶向的细胞的信号通路如何响应不同的输入模式?在这项研究中,我们检查给定剂量的激素如何根据目标剂量的时间分布,如何从目标系统中诱导出不同的输出。我们使用前馈信号基序的简单数学模型来了解目标系统的特性如何引起输入脉冲模式的偏爱。我们根据对脉动输入的频率响应来构架这些问题,其中脉冲的幅度或持续时间会随频率而变化,以节省输入剂量。我们发现系统稳态输入输出函数中的非线性形式可以预测最佳输入模式。通过选择最佳输入信号幅度来实现。我们的结果预测了常见信号转导基序的行为,例如受体与二聚体结合以及蛋白质磷酸化。这些发现对旨在研究对搏动性输入的频率响应的实验,以及对理解搏动性模式如何通过前馈信号通路驱动生物响应的实验具有重要意义。

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