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一种离散事件模拟方法,用于识别支配多毛皮肤中分支皮肤传入神经树突重塑的规则。

A DISCRETE-EVENT SIMULATION APPROACH TO IDENTIFY RULES THAT GOVERN ARBOR REMODELING FOR BRANCHING CUTANEOUS AFFERENTS IN HAIRY SKIN.

作者信息

Kang Hyojung, Orlowsky Rachel L, Gerling Gregory J

机构信息

Department of Systems and Information Engineering, University of Virginia, 151 Engineers' Way, Charlottesville, VA 22904, USA.

出版信息

Proc Winter Simul Conf. 2017 Dec;2017:2662-2671. doi: 10.1109/WSC.2017.8247992. Epub 2018 Jan 8.

Abstract

In mammals, touch is encoded by sensory receptors embedded in the skin. For one class of receptors in the mouse, the architecture of its Merkel cells, unmyelinated neurites, and heminodes follow particular renewal and remodeling trends over hair cycle stages from ages 4 to 10 weeks. As it is currently impossible to observe such trends across a single animal's hair cycle, this work employs discrete event simulation to identify and evaluate policies of Merkel cell and heminode dynamics. Well matching the observed data, the results show that the baseline model replicates dynamic remodeling behaviors between stages of the hair cycle - based on particular addition and removal polices and estimated probabilities tied to constituent parts of Merkel cells, terminal branch neurites and heminodes. The analysis shows further that certain policies hold greater influence than others. This use of computation is a novel approach to understanding neuronal development.

摘要

在哺乳动物中,触觉由嵌入皮肤的感觉受体编码。对于小鼠的一类受体,其默克尔细胞、无髓神经突和半结的结构在4至10周龄的毛发生长周期各阶段呈现出特定的更新和重塑趋势。由于目前无法在单个动物的毛发生长周期中观察到这些趋势,这项研究采用离散事件模拟来识别和评估默克尔细胞和半结动态变化的策略。结果与观察数据高度匹配,表明基线模型基于特定的添加和去除策略以及与默克尔细胞、终末分支神经突和半结的组成部分相关的估计概率,复制了毛发生长周期各阶段之间的动态重塑行为。分析进一步表明,某些策略比其他策略具有更大的影响力。这种计算方法是理解神经元发育的一种新途径。

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