henhaobio
Sign in

CellNeurosciencePeer-reviewed journal article

A genetically-encoded fluorescent sensor enables rapid and specific detection of dopamine in flies, fish, and mice

Fangmiao SuniD, Jianzhi ZengiD, Miao JingiD, Jingheng ZhouiD, Jiesi FengiD, Scott F. OweniD, Yichen LuoiD, Funing Li, Huan WangiD, Takashi YamaguchiiD, Zi-hao YongiD, Yijing Gao, Wanling PengiD, Lizhao Wang, Siyu ZhangiD, Jiulin DuiD, Dayu LiniD, Min XuiD, Anatol C. KreitzeriD, Guohong CuiiD, Yulong LiiD

PDFDOIPreprint

Abstract

Dopamine (DA) is a central monoamine neurotransmitter involved in many physiological and pathological processes. A longstanding yet largely unmet goal is to measure DA changes reliably and specifically with high spatiotemporal precision, particularly in animals executing complex behaviors. Here we report the development of novel genetically-encoded GPCR-Activation-Based-DA (GRABDA) sensors that enable these measurements. In response to extracellular DA rises, GRABDA sensors exhibit large fluorescence increases ({Delta}F/F0[~]90%) with sub-second kinetics, nanomolar to sub-micromolar affinities, and excellent molecular specificity. Importantly, GRABDA sensors can resolve a single-electrical-stimulus evoked DA release in mouse brain slices, and detect endogenous DA release in the intact brains of flies, fish, and mice. In freely-behaving mice, GRABDA sensors readily report optogenetically-elicited nigrostriatal DA release and depict dynamic mesoaccumbens DA changes during Pavlovian conditioning or during sexual behaviors. Thus, GRABDA sensors enable spatiotemporal precise measurements of DA dynamics in a variety of model organisms while exhibiting complex behaviors.

Citations
857
FWCI
39.08
Field percentile
top 1%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSun '20Zhuo '23Nakamoto '20Lv '24Feng '19Herenbrink '21
88% semantic matchNeuroscience
Fangmiao Sun, Jingheng Zhou, Bing Dai+13 more·Nature Methods·Oct 21, 2020· 493 citations