Institute for Synaptic Physiology, University Medical Center Hamburg-Eppendorf, Hamburg, D-20251, Germany.
Department of Biological Sciences, Dartmouth College, Hanover, NH, 03755, USA.
Nat Commun. 2020 May 18;11(1):2464. doi: 10.1038/s41467-020-16315-4.
Information within the brain travels from neuron to neuron across billions of synapses. At any given moment, only a small subset of neurons and synapses are active, but finding the active synapses in brain tissue has been a technical challenge. Here we introduce SynTagMA to tag active synapses in a user-defined time window. Upon 395-405 nm illumination, this genetically encoded marker of activity converts from green to red fluorescence if, and only if, it is bound to calcium. Targeted to presynaptic terminals, preSynTagMA allows discrimination between active and silent axons. Targeted to excitatory postsynapses, postSynTagMA creates a snapshot of synapses active just before photoconversion. To analyze large datasets, we show how to identify and track the fluorescence of thousands of individual synapses in an automated fashion. Together, these tools provide an efficient method for repeatedly mapping active neurons and synapses in cell culture, slice preparations, and in vivo during behavior.
大脑中的信息在数十亿个突触间从一个神经元传递到另一个神经元。在任何给定的时刻,只有一小部分神经元和突触处于活跃状态,但在脑组织中找到活跃的突触一直是一个技术挑战。在这里,我们引入了 SynTagMA 来标记用户定义的时间窗口内的活跃突触。在 395-405nm 光照下,如果这个活性的基因编码标记物与钙结合,它会从绿色荧光转变为红色荧光。SynTagMA 靶向突触前末梢,可以区分活跃和沉默的轴突。靶向兴奋性突触后,postSynTagMA 在光转化之前创建一个活跃突触的快照。为了分析大型数据集,我们展示了如何以自动化的方式识别和跟踪数千个单个突触的荧光。这些工具一起为在细胞培养物、切片制剂和行为过程中重复绘制活跃神经元和突触的图谱提供了一种高效的方法。