Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Labouesse, Marie A., Cola, Reto B., Patriarchi, Tommaso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672611/
https://www.ncbi.nlm.nih.gov/pubmed/33126757
http://dx.doi.org/10.3390/ijms21218048
_version_ 1783611171284189184
author Labouesse, Marie A.
Cola, Reto B.
Patriarchi, Tommaso
author_facet Labouesse, Marie A.
Cola, Reto B.
Patriarchi, Tommaso
author_sort Labouesse, Marie A.
collection PubMed
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.
format Online
Article
Text
id pubmed-7672611
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-76726112020-11-19 GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In Vivo Imaging Labouesse, Marie A. Cola, Reto B. Patriarchi, Tommaso Int J Mol Sci Review 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. MDPI 2020-10-28 /pmc/articles/PMC7672611/ /pubmed/33126757 http://dx.doi.org/10.3390/ijms21218048 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Labouesse, Marie A.
Cola, Reto B.
Patriarchi, Tommaso
GPCR-Based Dopamine Sensors—A Detailed Guide to Inform Sensor Choice for In Vivo Imaging
title 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_short 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
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672611/
https://www.ncbi.nlm.nih.gov/pubmed/33126757
http://dx.doi.org/10.3390/ijms21218048
work_keys_str_mv AT labouessemariea gpcrbaseddopaminesensorsadetailedguidetoinformsensorchoiceforinvivoimaging
AT colaretob gpcrbaseddopaminesensorsadetailedguidetoinformsensorchoiceforinvivoimaging
AT patriarchitommaso gpcrbaseddopaminesensorsadetailedguidetoinformsensorchoiceforinvivoimaging