小柯机器人

近日，美国加州大学旧金山分校Xin Duan研究组利用Trans-Seq绘制出一个选择性的哺乳动物视网膜突触。2022年5月6日出版的《自然—神经科学》杂志发表了这项成果。

Author: Tsai, Nicole Y., Wang, Fei, Toma, Kenichi, Yin, Chen, Takatoh, Jun, Pai, Emily L., Wu, Kongyan, Matcham, Angela C., Yin, Luping, Dang, Eric J., Marciano, Denise K., Rubenstein, John L., Wang, Fan, Ullian, Erik M., Duan, Xin

Issue&Volume: 2022-05-06

Abstract: The mouse visual system serves as an accessible model to understand mammalian circuit wiring. Despite rich knowledge in retinal circuits, the long-range connectivity map from distinct retinal ganglion cell (RGC) types to diverse brain neuron types remains unknown. In this study, we developed an integrated approach, called Trans-Seq, to map RGCs to superior collicular (SC) circuits. Trans-Seq combines a fluorescent anterograde trans-synaptic tracer, consisting of codon-optimized wheat germ agglutinin fused to mCherry, with single-cell RNA sequencing. We used Trans-Seq to classify SC neuron types innervated by genetically defined RGC types and predicted a neuronal pair from αRGCs to Nephronectin-positive wide-field neurons (NPWFs). We validated this connection using genetic labeling, electrophysiology and retrograde tracing. We then used transcriptomic data from Trans-Seq to identify Nephronectin as a determinant for selective synaptic choice from αRGC to NPWFs via binding to Integrin α8β1. The Trans-Seq approach can be broadly applied for post-synaptic circuit discovery from genetically defined pre-synaptic neurons.

DOI: 10.1038/s41593-022-01068-8

Source: https://www.nature.com/articles/s41593-022-01068-8

Nature Neuroscience：《自然—神经科学》，创刊于1998年。隶属于施普林格·自然出版集团，最新IF：28.771
官方网址：https://www.nature.com/neuro/
投稿链接：https://mts-nn.nature.com/cgi-bin/main.plex