Thomson P C, Lavidis N A, Robinson J, Bennett M R
School of Mathematics and Statistics, University of Sydney, N.S.W., Australia.
Philos Trans R Soc Lond B Biol Sci. 1995 Aug 29;349(1328):197-214. doi: 10.1098/rstb.1995.0103.
The probability of detecting first, second, and later quanta secreted at release sites of a motor-nerve terminal during the early release period following a nerve impulse has been addressed. The possibility that early quantal release autoinhibits later quantal release during this period has also been ascertained. In this investigation, a model for the secretion of a quantum at a release site is developed in which, following the influx and diffusion of calcium ions to a release site protein associated with synaptic vesicles, kappa steps of association of the ions with the protein then occur at rate alpha. The release site protein then undergoes a conformational change which may not go on to completion if calcium ions dissociate from the protein at rate gamma. If this process does reach completion then a fusion-pore between the vesicle and the presynaptic membrane is created; this happens at rate delta. Key assumptions of this fusion-pore model are that the quantal secretions from each site are independent of each other, and that there is a large number of vesicles, each with a small probability of secretion, so that the number of secretions is Poisson in nature. These assumptions allow analytical expressions to be obtained for predicting the times at which first, second and later quanta are secreted during the early release period following an impulse. To test the model, experiments were performed in which the times of first, second and later quantal releases were determined at discrete regions along the length of visualized motor-terminal branches in toad (Bufo marinus) muscles. Estimates of model rate constants and of kappa from the times for first quantal secretions failed to give satisfactory predictions of the observed times of later secretions. Therefore, either the model fails, or the procedure used for detecting later quantal events as a consequence of their being masked by earlier quantal events is inadequate. To solve this detection problem, a two-dimensional analysis of the spread of charge following the secretion of a quantum at a random site on the motor-terminal branch has been done. This allows determination of the probability that later quanta will be detected following secretion of earlier quanta. The detection model was then incorporated into the fusion-pore model to predict the times at which second and later quanta occur during the early release period, based on the estimates of the model parameters derived from the analysis of first quantal releases. Good estimates were now obtained for the observed times of second and later quantal releases, indicating that appropriate procedures must be adopted for adequate detection of quantal secretions. Furthermore, the experiments provide support for the fusion-pore model. It has been suggested that the binomial nature of quantal release from the entire motor-nerve terminal may be explained if early quantal release inhibits later quantal release during the early quantal release phase (M. R. Bennett & J. Robinson 1990, Proc. R. Soc. Lond. B 239, 329-358). Although the fusion-pore detection error model gave good predictions of the observed times of first, second and later quantal releases, these may be improved if a model for autoinhibition is included. In this model the first quantum was taken as giving rise to an inhibition of secretion that propagates to surrounding release sites with a constant velocity, v. A combined model incorporating the fusion-pore detection error model and that for autoinhibition was then used to predict second and later quantal latencies, by using the first quantal latencies to determine the estimates for the parameters in the combined model. When this analysis was done on the times for quantal secretion at sites on thirteen different motor-nerve terminals, the value of v was estimated as zero in each case, so that no autoinhibitory effect was observed.
在神经冲动后的早期释放期,检测运动神经末梢释放位点分泌的首个、第二个及后续量子的概率已得到研究。在此期间,早期量子释放对后续量子释放的自抑制可能性也已确定。在本研究中,构建了一个释放位点量子分泌模型,其中,钙离子流入并扩散至与突触小泡相关的释放位点蛋白后,离子与该蛋白以速率α发生κ步结合。随后,释放位点蛋白发生构象变化,若钙离子以速率γ从蛋白上解离,则该变化可能无法完成。若此过程确实完成,则在小泡与突触前膜之间形成融合孔;这一过程以速率δ发生。该融合孔模型的关键假设是,每个位点的量子分泌相互独立,且存在大量小泡,每个小泡的分泌概率较小,使得分泌数量呈泊松分布。这些假设使得能够获得解析表达式,用于预测冲动后早期释放期首个、第二个及后续量子的分泌时间。为验证该模型,进行了实验,在蟾蜍(海蟾蜍)肌肉中可视化运动终末分支的长度上的离散区域,确定首个、第二个及后续量子释放的时间。根据首个量子分泌时间对模型速率常数和κ的估计,未能对观察到的后续分泌时间给出令人满意的预测。因此,要么模型不成立,要么由于早期量子事件掩盖了后续量子事件,用于检测后续量子事件的方法不充分。为解决这一检测问题,对运动终末分支上随机位点量子分泌后电荷扩散进行了二维分析。这使得能够确定在早期量子分泌后检测到后续量子的概率。然后将检测模型纳入融合孔模型,根据对首个量子释放分析得出的模型参数估计值,预测早期释放期第二个及后续量子出现的时间。现在对观察到的第二个及后续量子释放时间获得了良好估计,表明必须采用适当程序以充分检测量子分泌。此外,实验为融合孔模型提供了支持。有人提出,如果在早期量子释放阶段早期量子释放抑制后续量子释放,那么从整个运动神经末梢量子释放的二项分布性质或许可以得到解释(M. R. 贝内特和J. 罗宾逊,1990年,《英国皇家学会学报B》239卷,329 - 358页)。尽管融合孔检测误差模型对观察到的首个、第二个及后续量子释放时间给出了良好预测,但如果纳入自抑制模型,这些预测可能会得到改进。在该模型中,首个量子被认为会产生一种分泌抑制,以恒定速度v传播至周围释放位点。然后,通过使用首个量子潜伏期来确定组合模型中的参数估计值,将融合孔检测误差模型与自抑制模型相结合,用于预测第二个及后续量子潜伏期。当对13个不同运动神经末梢位点的量子分泌时间进行此分析时,在每种情况下v值估计为零,因此未观察到自抑制效应。