2020
DOI: 10.1101/2020.02.07.939504
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A fast genetically encoded fluorescent sensor for faithfulin vivoacetylcholine detection in mice, fish, worms and flies

Abstract: Here we design and optimize a genetically encoded fluorescent indicator, iAChSnFR, for the ubiquitous neurotransmitter acetylcholine, based on a bacterial periplasmic binding protein. iAChSnFR shows large fluorescence changes, rapid rise and decay kinetics, and insensitivity to most cholinergic drugs. iAChSnFR revealed large transients in a variety of slice and in vivo preparations in mouse, fish, fly and worm. iAChSnFR will be useful for the study of acetylcholine in all animals. IntroductionAcetylcholine (AC… Show more

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Cited by 84 publications
(151 citation statements)
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References 126 publications
(147 reference statements)
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“…However, these sensors may have limited dynamics and/or slow kinetics due to the primogenitors' slow kinetics and limited conformational changes associated with ligand binding [24][25][26]. Because PBPs have lower affinities with their ligands, creating the PBP-based sensors with sensitivity matching the endogenous transmitter levels may require painstaking evolution, yet the effort can lead to high-performance sensors with fast kinetics and large dynamics [27][28][29][30]. Membrane surface trafficking of the PBP-based sensors can be less than optimal, but these sensors are usually more amenable for targeted expression in other subcellular compartments.…”
Section: Genetically Encoded Neuromodulatory Transmitter Sensorsmentioning
confidence: 99%
“…However, these sensors may have limited dynamics and/or slow kinetics due to the primogenitors' slow kinetics and limited conformational changes associated with ligand binding [24][25][26]. Because PBPs have lower affinities with their ligands, creating the PBP-based sensors with sensitivity matching the endogenous transmitter levels may require painstaking evolution, yet the effort can lead to high-performance sensors with fast kinetics and large dynamics [27][28][29][30]. Membrane surface trafficking of the PBP-based sensors can be less than optimal, but these sensors are usually more amenable for targeted expression in other subcellular compartments.…”
Section: Genetically Encoded Neuromodulatory Transmitter Sensorsmentioning
confidence: 99%
“…On the other hand, GPCR-based biosensors often respond to all molecules that interact with the parental GPCR, resulting in artifacts when GPCR antagonists or agonists are concurrently used. 11 In addition, GPCR-based biosensors may suffer from slow dissociation kinetics. 11 Furthermore, there are concerns about the overexpression of GPCRs, which may perturb cell signaling that is highly organized and tightly controlled.…”
Section: Figmentioning
confidence: 99%
“…11 In addition, GPCR-based biosensors may suffer from slow dissociation kinetics. 11 Furthermore, there are concerns about the overexpression of GPCRs, which may perturb cell signaling that is highly organized and tightly controlled. 12…”
Section: Figmentioning
confidence: 99%
“…Fiber photometry is a tool that allows for the recording of bulk fluorescent signals from a growing number of sensors including those for detecting levels of cellular activity, such as GCaMP6 (Chen et al, 2013), jGCaMP7 (Dana et al, 2019), jRCAMP1a,b or jRGECO1a (Dana et al, 2016). In addition, a number of sensors have recently been developed for detecting the binding of specific neurotransmitters, such as glutamate via iGluSnFr (Marvin et al, 2018), GABA via iGABASnFr (Marvin et al, 2019), acetylcholine via iAChSnFr (Borden et al, 2020), serotonin via iSeroSnFr (Unger et al, 2019), dopamine via dLight (Patriarchi et al, 2018) or GRAB DA (Sun et al, 2018), and norepinephrine via GRAB NE (Feng et al, 2019).…”
Section: Introductionmentioning
confidence: 99%