Fluorescence Imaging of Neural Activity, Neurochemical Dynamics, and Drug-Specific Receptor Conformation with Genetically Encoded Sensors

被引：55

作者：

Dong, Chunyang ^{[1
,2
]}

Zheng, Yu ^{[3
,4
,5
]}

Long-Iyer, Kiran ^{[2
,6
]}

Wright, Emily C. ^{[2
]}

Li, Yulong ^{[3
,4
,5
]}

Tian, Lin ^{[2
]}

机构：

[1] Univ Calif Davis, Grad Program Biochem Mol Cellular & Dev Biol, Davis, CA 95616 USA

[2] Univ Calif Davis, Sch Med, Dept Biochem & Mol Med, Davis, CA 95616 USA

[3] Peking Univ, State Key Lab Membrane Biol, Sch Life Sci, Beijing, Peoples R China

[4] PKU IDG McGovern Inst Brain Res, Beijing, Peoples R China

[5] Peking Tsinghua Ctr Life Sci, Beijing, Peoples R China

[6] Univ Calif Davis, Neurosci Grad Program, Davis, CA 95616 USA

来源：

ANNUAL REVIEW OF NEUROSCIENCE | 2022年 / 45卷

基金：

美国国家卫生研究院;

关键词：

fluorescence imaging; genetically encoded indicators; biosensors; drug discovery; neuromodulation; neurocircuit imaging; IN-VIVO; BRAIN CHEMISTRY; CALCIUM; VOLTAGE; CA2+; INDICATORS; PROTEINS; EXPRESSION; NEURONS; FLIES;

D O I：

10.1146/annurev-neuro-110520-031137

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Recent advances in fluorescence imaging permit large-scale recording of neural activity and dynamics of neurochemical release with unprecedented resolution in behaving animals. Calcium imaging with highly optimized genetically encoded indicators provides a mesoscopic view of neural activity from genetically defined populations at cellular and subcellular resolutions. Rigorously improved voltage sensors and microscopy allow for robust spike imaging of populational neurons in various brain regions. In addition, recent protein engineering efforts in the past few years have led to the development of sensors for neurotransmitters and neuromodulators. Here, we discuss the development and applications of these genetically encoded fluorescent indicators in reporting neural activity in response to various behaviors in different biological systems as well as in drug discovery. We also report a simple model to guide sensor selection and optimization.

引用

页码：273 / 294

页数：22

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