Knowing a synapse when you see one.
Knowing a synapse when you see one.
复制标题
DOI：
10.3389/fnana.2015.00100
复制
发表时间：
2015
影响因子：
2.9
通讯作者：
Weinberg RJ
中科院分区：
文献类型：
--
作者：
Burette A;Collman F;Micheva KD;Smith SJ;Weinberg RJ
近年来，人们对定义大脑突触网络的无数单个突触连接的复杂性和多样性的认识迅速增长。越来越明显的是，突触本身是理解这些突触网络的发育、功能和适应性的关键。尽管这种认识不断增长，但单个突触的分子、结构和功能特征以及它们在功能网络中的不同特征的模式化在很大程度上回避了利用现有成像技术的定量研究。在这里，我们提供了一个新的计算成像方法的概述，承诺带来单突触突触分析的突触网络的前列。我们特别关注与单个突触的定量检测以及测量哺乳动物大脑中网络规模群体中的单个突触相关的挑战和机遇。
Recent years have seen a rapidly growing recognition of the complexity and diversity of the myriad individual synaptic connections that define brain synaptic networks. It has also become increasingly apparent that the synapses themselves are a major key to understanding the development, function and adaptability of those synaptic networks. In spite of this growing appreciation, the molecular, structural and functional characteristics of individual synapses and the patterning of their diverse characteristics across functional networks have largely eluded quantitative study with available imaging technologies. Here we offer an overview of new computational imaging methods that promise to bring single-synapse analysis of synaptic networks to the fore. We focus especially on the challenges and opportunities associated with quantitative detection of individual synapses and with measuring individual synapses across network scale populations in mammalian brain.