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首页> 外文期刊>PLoS Computational Biology >Can Molecular Motors Drive Distance Measurements in Injured Neurons?
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Can Molecular Motors Drive Distance Measurements in Injured Neurons?

机译:分子电动机可以驱动受损神经元的距离测量吗?

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摘要

Injury to nerve axons induces diverse responses in neuronal cell bodies, some of which are influenced by the distance from the site of injury. This suggests that neurons have the capacity to estimate the distance of the injury site from their cell body. Recent work has shown that the molecular motor dynein transports importin-mediated retrograde signaling complexes from axonal lesion sites to cell bodies, raising the question whether dynein-based mechanisms enable axonal distance estimations in injured neurons? We used computer simulations to examine mechanisms that may provide nerve cells with dynein-dependent distance assessment capabilities. A multiple-signals model was postulated based on the time delay between the arrival of two or more signals produced at the site of injury–a rapid signal carried by action potentials or similar mechanisms and slower signals carried by dynein. The time delay between the arrivals of these two types of signals should reflect the distance traversed, and simulations of this model show that it can indeed provide a basis for distance measurements in the context of nerve injuries. The analyses indicate that the suggested mechanism can allow nerve cells to discriminate between distances differing by 10% or more of their total axon length, and suggest that dynein-based retrograde signaling in neurons can be utilized for this purpose over different scales of nerves and organisms. Moreover, such a mechanism might also function in synapse to nucleus signaling in uninjured neurons. This could potentially allow a neuron to dynamically sense the relative lengths of its processes on an ongoing basis, enabling appropriate metabolic output from cell body to processes.
机译:对神经轴突的损伤在神经元细胞体中引起多种反应,其中一些反应受到距损伤部位的距离的影响。这表明神经元具有估计损伤部位距其细胞体的距离的能力。最近的研究表明,分子动力达因将转运蛋白介导的逆行信号复合物从轴突病变部位转运至细胞体,从而引发了一个问题,即基于达因素的机制能否在受损神经元中进行轴突距离估计?我们使用计算机模拟来检查可能为神经细胞提供依赖于动力蛋白的距离评估功能的机制。基于在受伤部位产生的两个或多个信号到达之间的时间延迟,假设了一个多信号模型-由动作电位或类似机制携带的快速信号与由达因素携带的较慢信号之间的时间延迟。这两类信号到达之间的时间延迟应该反映所经过的距离,并且该模型的仿真表明,它确实可以为神经损伤情况下的距离测量提供基础。分析表明,所建议的机制可以使神经细胞区分其总轴突长度相差10%或更多的距离,并建议神经元中基于达因宁的逆行信号可用于不同规模的神经和生物体。 。此外,这种机制也可能在未受伤的神经元中突触核信号传导。这可能会允许神经元不断地动态感知其过程的相对长度,从而实现从细胞体到过程的适当代谢输出。

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