Assessment of Synaptic Function During Short-Term Facilitation in Motor Nerve Terminals in the Crayfish

Mohati Desai-Shah, K. Viele, G. Sparks, J. Nadolski, B. Hayden, V. Srinivasan, R. Cooper
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引用次数: 8

Abstract

An enhanced buildup of (Ca 2+ )i occurs during short-term facilitation (STF) at the crayfish neuromuscular junc- tion (NMJ). As a model system, this NMJ allows discrete postsynaptic quantal events to be counted and characterized in relation to STF. Providing 10 pulses, at 20 and 40Hz, we monitored postsynaptic quantal events over a discrete region of a nerve terminal with a focal macropatch electrode. Characteristics of quantal events were clustered into groups by peak amplitude and time to the peak amplitude. Since the synapses at this NMJ have varied spacing of active zones, number of active zones and synaptic size, the graded nature of synaptic recruitment is likely one means of titrating synaptic efficacy for the graded depolarization on the non-spiking muscle fiber. Synapses in this preparation would appear to have a "quan- tal signature" that can be used for quantifying their activity which is useful in estimating the overall number of active sites. We use mixture modeling to estimate n (number of active sites) and p (probability of vesicle fusion) from the quan- tal characteristics. In a preparation that was stimulated at 40Hz, synapses were recruited (increase in n) and the number active synapses increased in p. In a different preparation, p increased as the stimulation was changed from 20 to 40Hz, but n did not show a substantial increase; however, during the STF train, p increases slightly. This study provides a novel ap- proach in determining subsets of the single evoked quanta to better estimate n and p which describe synaptic function.
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小龙虾运动神经末梢短期易化过程中突触功能的评估
在小龙虾神经肌肉连接(NMJ)的短期促进(STF)过程中,(ca2 +)i的积累增强。作为一个模型系统,这个NMJ允许离散的突触后量子事件被计数和表征与STF有关。提供10个脉冲,在20和40Hz,我们监测突触后量子事件在神经末梢的一个离散区域与焦点大贴片电极。量子事件的特征根据峰值振幅和到峰值振幅的时间聚类。由于该NMJ的突触具有不同的活跃区间距、活跃区数量和突触大小,因此突触招募的分级性质可能是衡量非尖峰肌纤维上的分级去极化突触功效的一种手段。这种制备的突触似乎有一个“全特征”,可以用来量化它们的活性,这对估计活性位点的总数很有用。我们使用混合模型从全特征中估计n(活性位点数)和p(囊泡融合概率)。在40Hz刺激的准备中,突触被招募(n增加),p的活跃突触数量增加。在不同的准备中,p随着刺激从20到40Hz的变化而增加,但n没有明显增加;然而,在STF列车期间,p略有增加。本研究提供了一种确定单诱发量子子集的新方法,以更好地估计描述突触功能的n和p。
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