GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In vivo Imaging

Understanding how dopamine (DA) encodes behavior depends on technologies that can reliably monitor DA release in freely-behaving animals. Recently, red and green genetically encoded sensors for DA (dLight, GRAB-DA) were developed and now provide the ability to track release dynamics at a subsecond r...

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Main Authors: Marie A. Labouesse, Reto B. Cola, Tommaso Patriarchi
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/21/21/8048
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spelling doaj-93751cce0e144b5895e3fdda0df293a52020-11-25T03:58:32ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672020-10-01218048804810.3390/ijms21218048GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In vivo ImagingMarie A. Labouesse0Reto B. Cola1Tommaso Patriarchi2Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USAAnatomy and Program in Neuroscience, University of Fribourg, 1700 Fribourg, SwitzerlandInstitute of Pharmacology and Toxicology, University of Zurich, 8057 Zurich, SwitzerlandUnderstanding how dopamine (DA) encodes behavior depends on technologies that can reliably monitor DA release in freely-behaving animals. Recently, red and green genetically encoded sensors for DA (dLight, GRAB-DA) were developed and now provide the ability to track release dynamics at a subsecond resolution, with submicromolar affinity and high molecular specificity. Combined with rapid developments in in vivo imaging, these sensors have the potential to transform the field of DA sensing and DA-based drug discovery. When implementing these tools in the laboratory, it is important to consider there is not a ‘one-size-fits-all’ sensor. Sensor properties, most importantly their affinity and dynamic range, must be carefully chosen to match local DA levels. Molecular specificity, sensor kinetics, spectral properties, brightness, sensor scaffold and pharmacology can further influence sensor choice depending on the experimental question. In this review, we use DA as an example; we briefly summarize old and new techniques to monitor DA release, including DA biosensors. We then outline a map of DA heterogeneity across the brain and provide a guide for optimal sensor choice and implementation based on local DA levels and other experimental parameters. Altogether this review should act as a tool to guide DA sensor choice for end-users.https://www.mdpi.com/1422-0067/21/21/8048behaviordrug screeninggenetically encodeddopaminefiber photometryfluorescent biosensor
collection DOAJ
language English
format Article
sources DOAJ
author Marie A. Labouesse
Reto B. Cola
Tommaso Patriarchi
spellingShingle Marie A. Labouesse
Reto B. Cola
Tommaso Patriarchi
GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In vivo Imaging
International Journal of Molecular Sciences
behavior
drug screening
genetically encoded
dopamine
fiber photometry
fluorescent biosensor
author_facet Marie A. Labouesse
Reto B. Cola
Tommaso Patriarchi
author_sort Marie A. Labouesse
title GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In vivo Imaging
title_short GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In vivo Imaging
title_full GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In vivo Imaging
title_fullStr GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In vivo Imaging
title_full_unstemmed GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In vivo Imaging
title_sort gpcr-based dopamine sensors—a detailed guide to inform sensor choice for in vivo imaging
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1661-6596
1422-0067
publishDate 2020-10-01
description Understanding how dopamine (DA) encodes behavior depends on technologies that can reliably monitor DA release in freely-behaving animals. Recently, red and green genetically encoded sensors for DA (dLight, GRAB-DA) were developed and now provide the ability to track release dynamics at a subsecond resolution, with submicromolar affinity and high molecular specificity. Combined with rapid developments in in vivo imaging, these sensors have the potential to transform the field of DA sensing and DA-based drug discovery. When implementing these tools in the laboratory, it is important to consider there is not a ‘one-size-fits-all’ sensor. Sensor properties, most importantly their affinity and dynamic range, must be carefully chosen to match local DA levels. Molecular specificity, sensor kinetics, spectral properties, brightness, sensor scaffold and pharmacology can further influence sensor choice depending on the experimental question. In this review, we use DA as an example; we briefly summarize old and new techniques to monitor DA release, including DA biosensors. We then outline a map of DA heterogeneity across the brain and provide a guide for optimal sensor choice and implementation based on local DA levels and other experimental parameters. Altogether this review should act as a tool to guide DA sensor choice for end-users.
topic behavior
drug screening
genetically encoded
dopamine
fiber photometry
fluorescent biosensor
url https://www.mdpi.com/1422-0067/21/21/8048
work_keys_str_mv AT mariealabouesse gpcrbaseddopaminesensorsadetailedguidetoinformsensorchoiceforinvivoimaging
AT retobcola gpcrbaseddopaminesensorsadetailedguidetoinformsensorchoiceforinvivoimaging
AT tommasopatriarchi gpcrbaseddopaminesensorsadetailedguidetoinformsensorchoiceforinvivoimaging
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