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利用设计的远红光多巴胺传感器对动态神经化学网络进行多重成像。

multiplex imaging of dynamic neurochemical networks with designed far-red dopamine sensors.

作者信息

Zheng Yu, Cai Ruyi, Wang Kui, Zhang Junwei, Zhuo Yizhou, Dong Hui, Zhang Yuqi, Wang Yifan, Deng Fei, Ji En, Cui Yiwen, Fang Shilin, Zhang Xinxin, Zhang Kecheng, Wang Jinxu, Li Guochuan, Miao Xiaolei, Wang Zhenghua, Yang Yuqing, Li Shaochuang, Grimm Jonathan, Johnsson Kai, Schreiter Eric, Lavis Luke, Chen Zhixing, Mu Yu, Li Yulong

机构信息

Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Beijing 100871, China.

PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China.

出版信息

bioRxiv. 2024 Dec 23:2024.12.22.629999. doi: 10.1101/2024.12.22.629999.

Abstract

Neurochemical signals like dopamine (DA) play a crucial role in a variety of brain functions through intricate interactions with other neuromodulators and intracellular signaling pathways. However, studying these complex networks has been hindered by the challenge of detecting multiple neurochemicals simultaneously. To overcome this limitation, we developed a single-protein chemigenetic DA sensor, HaloDA1.0, which combines a cpHaloTag-chemical dye approach with the G protein-coupled receptor activation-based (GRAB) strategy, providing high sensitivity for DA, sub-second response kinetics, and an extensive spectral range from far-red to near-infrared. When used together with existing green and red fluorescent neuromodulator sensors, Ca indicators, cAMP sensors, and optogenetic tools, HaloDA1.0 provides high versatility for multiplex imaging in cultured neurons, brain slices, and behaving animals, facilitating in-depth studies of dynamic neurochemical networks.

摘要

多巴胺(DA)等神经化学信号通过与其他神经调质和细胞内信号通路的复杂相互作用,在多种脑功能中发挥着关键作用。然而,同时检测多种神经化学物质的挑战阻碍了对这些复杂网络的研究。为了克服这一限制,我们开发了一种单蛋白化学遗传DA传感器HaloDA1.0,它将cpHaloTag-化学染料方法与基于G蛋白偶联受体激活(GRAB)的策略相结合,对DA具有高灵敏度、亚秒级响应动力学,以及从远红到近红外的广泛光谱范围。当与现有的绿色和红色荧光神经调质传感器、Ca指示剂、cAMP传感器和光遗传学工具一起使用时,HaloDA1.0在培养的神经元、脑片和行为动物中进行多重成像具有高度通用性,有助于深入研究动态神经化学网络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d30/11703222/ea2795be388b/nihpp-2024.12.22.629999v1-f0003.jpg

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