French Donald A, Flannery Richard J, Groetsch Charles W, Krantz Willam B, Kleene Steven J
Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH 45221-0025.
Math Comput Model. 2006 Apr;43(7-8):945-956. doi: 10.1016/j.mcm.2005.11.010.
Identification of detailed features of neuronal systems is an important challenge in the biosciences today. Cilia are long thin structures that extend from the olfactory receptor neurons into the nasal mucus. Transduction of an odor into an electrical signal occurs in the membranes of the cilia. The cyclic-nucleotide-gated (CNG) channels which reside in the ciliary membrane and are activated by adenosine 3',5'-cyclic monophosphate (cAMP) allow a depolarizing influx of Ca(2+) and Na(+) and are thought to initiate the electrical signal.In this paper, a mathematical model consisting of two nonlinear differential equations and a constrained Fredholm integral equation of the first kind is developed to model experiments involving the diffusion of cAMP into cilia and the resulting electrical activity. The unknowns in the problem are the concentration of cAMP, the membrane potential and, the quantity of most interest in this work, the distribution of CNG channels along the length of a cilium. A simple numerical method is derived that can be used to obtain estimates of the spatial distribution of CNG ion channels along the length of a cilium. Certain computations indicate that this mathematical problem is ill-conditioned.
识别神经系统的详细特征是当今生物科学中的一项重要挑战。纤毛是从嗅觉受体神经元延伸到鼻黏液中的细长结构。气味向电信号的转换发生在纤毛的膜中。位于纤毛膜中并由3',5'-环磷酸腺苷(cAMP)激活的环核苷酸门控(CNG)通道允许Ca(2+)和Na(+)的去极化内流,并被认为启动电信号。在本文中,开发了一个由两个非线性微分方程和一个第一类约束弗雷德霍姆积分方程组成的数学模型,以模拟涉及cAMP扩散到纤毛中以及由此产生的电活动的实验。该问题中的未知量是cAMP的浓度、膜电位以及在这项工作中最感兴趣的量,即CNG通道沿纤毛长度的分布。推导了一种简单的数值方法,可用于获得CNG离子通道沿纤毛长度的空间分布估计。某些计算表明这个数学问题是病态的。