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...
Main Authors: | , , |
---|---|
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 |
id |
doaj-93751cce0e144b5895e3fdda0df293a5 |
---|---|
record_format |
Article |
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 |
_version_ |
1724456745627025408 |