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首页> 外文期刊>PLoS Computational Biology >Computation predicts rapidly adapting mechanotransduction currents cannot account for tactile encoding in Merkel cell-neurite complexes
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Computation predicts rapidly adapting mechanotransduction currents cannot account for tactile encoding in Merkel cell-neurite complexes

机译:计算预测快速适应的机械转导电流不能解释默克尔细胞神经突复合物中的触觉编码

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Author summary Slowly-adapting type I (SAI) cutaneous afferents help us discriminate fine spatial details. Their physiology and anatomy are distinguished by their slow adaptation in firing to held stimuli and innervation of Merkel cells, respectively. How mechanotransduction currents in Merkel cells and sensory neurons combine to give rise to neural spike firing is unknown. In considering wildtype animals, as well as Atoh1 conditional knockout animals that lack Merkel cells, this effort employs a computational modeling approach constrained by biological measurements. For the developed generator function to recapitulate firing responses across genotype, a previously unsuspected current source is required. Thus, the model makes specific predictions for future experimental studies.
机译:作者摘要缓慢适应的I型(SAI)皮肤传入神经有助于我们分辨出精细的空间细节。它们的生理学和解剖学特征在于它们在缓慢激发时分别适应默克尔细胞的刺激和神经支配。默克尔细胞和感觉神经元中的机械转导电流如何结合以引起神经尖峰放电尚不清楚。在考虑缺乏默克尔细胞的野生型动物以及Atoh1条件性基因敲除动物时,这项工作采用了受生物学测量约束的计算建模方法。对于发达的发电机功能,以概括不同基因型的点火响应,需要以前没有想到的电流源。因此,该模型为将来的实验研究做出了具体的预测。

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