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Predicting axonal response to molecular gradients with a computational model of filopodial dynamics

机译:利用拟态动力学计算模型预测轴突对分子梯度的响应

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摘要

Axons are often guided to their targets in the developing nervous system by attractive or repulsive molecular concentration gradients. We propose a computational model for gradient sensing and directed movement of the growth cone mediated by filopodia. We show that relatively simple mechanisms are sufficient to generate realistic trajectories for both the short-term response of axons to steep gradients and the long-term response of axons to shallow gradients. The model makes testable predictions for axonal response to attractive and repulsive gradients of different concentrations and steepness, the size of the intracellular amplification of the gradient signal, and the differences in intracellular signaling required for repulsive versus attractive turning.
机译:轴突通常通过有吸引力的或排斥的分子浓度梯度被引导至发育中的神经系统中的靶标。我们提出了一种梯度感测和由丝状伪足介导的生长锥的定向运动的计算模型。我们显示相对简单的机制足以生成轴突对陡峭梯度的短期响应和轴突对浅梯度的长期响应的现实轨迹。该模型对不同浓度和陡度的有吸引力和排斥梯度的轴突反应,梯度信号的细胞内扩增大小以及排斥和吸引力转弯所需的细胞内信号传导差异做出了可预测的预测。

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