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Connect-seq 可将分子与解剖神经回路图谱叠加。

Connect-seq to superimpose molecular on anatomical neural circuit maps.

机构信息

Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109.

Department of Genome Sciences, University of Washington, Seattle, WA 98115.

出版信息

Proc Natl Acad Sci U S A. 2020 Feb 25;117(8):4375-4384. doi: 10.1073/pnas.1912176117. Epub 2020 Feb 7.

Abstract

The mouse brain contains about 75 million neurons interconnected in a vast array of neural circuits. The identities and functions of individual neuronal components of most circuits are undefined. Here we describe a method, termed "Connect-seq," which combines retrograde viral tracing and single-cell transcriptomics to uncover the molecular identities of upstream neurons in a specific circuit and the signaling molecules they use to communicate. Connect-seq can generate a molecular map that can be superimposed on a neuroanatomical map to permit molecular and genetic interrogation of how the neuronal components of a circuit control its function. Application of this method to hypothalamic neurons controlling physiological responses to fear and stress reveals subsets of upstream neurons that express diverse constellations of signaling molecules and can be distinguished by their anatomical locations.

摘要

小鼠大脑中约有 7500 万个神经元相互连接,形成了庞大的神经网络。大多数神经网络中单个神经元的组成及其功能尚不清楚。本文描述了一种名为“Connect-seq”的方法,它结合逆行病毒示踪和单细胞转录组学,揭示特定回路中上游神经元的分子特征及其通讯所使用的信号分子。Connect-seq 可以生成一个分子图谱,可与神经解剖图谱叠加,从而对回路的神经元成分如何控制其功能进行分子和遗传研究。将该方法应用于控制对恐惧和压力生理反应的下丘脑神经元,揭示了上游神经元的亚群,它们表达不同的信号分子组合,并可根据其解剖位置进行区分。

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