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在体内逐个可视化神经元:利用可逆荧光蛋白对神经网络进行光学剖析与重建。

Visualizing neurons one-by-one in vivo: optical dissection and reconstruction of neural networks with reversible fluorescent proteins.

作者信息

Aramaki Shinsuke, Hatta Kohei

机构信息

Laboratory for Vertebrate Body Plan, Center for Developmental Biology, RIKEN, Kobe, Japan.

出版信息

Dev Dyn. 2006 Aug;235(8):2192-9. doi: 10.1002/dvdy.20826.

DOI:10.1002/dvdy.20826
PMID:16607643
Abstract

A great many axons and dendrites intermingle to fasciculate, creating synapses as well as glomeruli. During live imaging in particular, it is often impossible to distinguish between individual neurons when they are contiguous spatially and labeled in the same fluorescent color. In an attempt to solve this problem, we have taken advantage of Dronpa, a green fluorescent protein whose fluorescence can be erased with strong blue light, and reversibly highlighted with violet or ultraviolet light. We first visualized a neural network with fluorescent Dronpa using the Gal4-UAS system. During the time-lapse imaging of axonal navigation, we erased the Dronpa fluorescence entirely; re-highlighted it in a single neuron anterogradely from the soma or retrogradely from the axon; then repeated this procedure for other single neurons. After collecting images of several individual neurons, we then recombined them in multiple pseudo-colors to reconstruct the network. We have also successfully re-highlighted Dronpa using two-photon excitation microscopy to label individual cells located inside of tissues and were able to demonstrate visualization of a Mauthner neuron extending an axon. These "optical dissection" techniques have the potential to be automated in the future and may provide an effective means to identify gene function in morphogenesis and network formation at the single cell level.

摘要

大量轴突和树突相互交织成束,形成突触以及小球体。特别是在实时成像过程中,当单个神经元在空间上相邻且用相同荧光颜色标记时,往往无法区分它们。为了解决这个问题,我们利用了Dronpa,一种绿色荧光蛋白,其荧光可以被强蓝光消除,并用紫光或紫外光可逆地突出显示。我们首先使用Gal4-UAS系统用荧光Dronpa可视化神经网络。在轴突导航的延时成像过程中,我们完全消除了Dronpa荧光;从胞体正向或从轴突逆向在单个神经元中重新突出显示它;然后对其他单个神经元重复这个过程。在收集了几个单个神经元的图像后,我们然后用多种伪颜色将它们重新组合以重建网络。我们还成功地使用双光子激发显微镜重新突出显示了Dronpa,以标记位于组织内部的单个细胞,并能够展示一个延伸轴突的毛特纳神经元的可视化。这些“光学解剖”技术未来有可能实现自动化,并可能提供一种在单细胞水平上识别形态发生和网络形成中基因功能的有效方法。

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