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从突触后电流的第一个潜伏期估算中枢突触神经递质的释放时间进程。

Estimation of the time course of neurotransmitter release at central synapses from the first latency of postsynaptic currents.

机构信息

Department of Neuroscience, Physiology and Pharmacology, University College London, Gower Street, London WC1E 6BT, UK.

出版信息

J Neurosci Methods. 2012 Mar 30;205(1):49-64. doi: 10.1016/j.jneumeth.2011.12.015. Epub 2011 Dec 29.

Abstract

Measurement of the release time course (RTC) and of the quantal content is important for quantifying synaptic precision and understanding the molecular basis of the release process at central synapses. In theory, the RTC can be determined directly from the histogram of first latencies of quantal events only if a maximum of one vesicle is released per trial, but at most synapses multiple vesicles are released. Traditionally, first latency histograms have been corrected for multiple releases using a simple correction, derived by Barrett and Stevens (BS; 1972b) for quantifying release at the neuromuscular junction. This correction has also been used to quantify release at central synapses. We show, by combining an analytical approach and numerical simulations of stochastic quantal release, that the BS correction gives a biased estimate for RTC and quantal content. The bias increases with release probability, and is therefore particularly problematic for central synapses. We show that this is due to assuming infinite availability of releasable vesicles and we derive a formula for estimating the RTC from first latencies without this assumption. The resulting 'binomial correction' requires knowledge of the maximum number of quanta that can be released following an action potential (N), which can be estimated with variance-mean analysis. We show with simulations that estimating RTC and quantal content from first latencies using the binomial correction is robust in the presence of noise and when release probability is non-uniform. We also provide an alternative method for estimating RTC from the first latencies when N cannot be determined.

摘要

测量释放时间过程 (RTC) 和量子含量对于量化突触精度和理解中枢突触释放过程的分子基础非常重要。从理论上讲,如果每次试验中最多只释放一个囊泡,则可以直接从量子事件的第一个潜伏期的直方图中确定 RTC,但在大多数突触中,会释放多个囊泡。传统上,已经使用 Barrett 和 Stevens (BS; 1972b) 为神经肌肉接头的释放量化而推导的简单校正来校正多次释放对第一个潜伏期直方图的影响,也用于量化中枢突触的释放。我们通过结合随机量子释放的分析方法和数值模拟表明,BS 校正会对 RTC 和量子含量产生有偏差的估计。这种偏差随着释放概率的增加而增加,因此对于中枢突触来说尤其成问题。我们表明,这是由于假设可释放的囊泡数量是无限的,并且我们推导出了一种无需此假设即可从第一个潜伏期估计 RTC 的公式。由此产生的“二项式校正”需要知道动作电位后可以释放的最大量子数 (N),可以通过方差-均值分析进行估计。我们通过模拟表明,在存在噪声和释放概率不均匀的情况下,使用二项式校正从第一个潜伏期估计 RTC 和量子含量是稳健的。我们还提供了一种替代方法,用于在无法确定 N 时从第一个潜伏期估计 RTC。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03d3/3314961/883f6b76cfcf/gr1.jpg

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