ReviewInternational journal of molecular sciences2020
GPCR-Based Dopamine Sensors-A Detailed Guide to Inform Sensor Choice for In vivo Imaging.
Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
36 citing papers in PubMed.
- Subtype-resolved norepinephrine imaging with an engineered αCell reports methods · 2026Article
- Illuminating the Future of Catecholamine Detection.Journal of neurochemistry · 2026Review
- Midbrain endocannabinoids actuate dopamine-based action selection.Cell reports · 2026Article
- Dual cholinergic mechanisms for sculpting striatal dopamine in vivo.bioRxiv : the preprint server for biology · 2025Article
- Sensitive dLight3 for imaging broad-spectrum dopamine events across brain regions.Research square · 2025Article
- PASTa: An Open-Source Analysis and Signal Processing Toolbox for Fiber Photometry Data.Current protocols · 2025Article
- Article
- Histamine Dynamics During Ingestive Behavior Measured by the Novel Biosensor HisLightG.Journal of neurochemistry · 2025Article
- An update on recent advances in fluorescent materials for fluorescence molecular imaging: a review.RSC advances · 2025Review
- A Poly(methacrolein-Nanomaterials (Basel, Switzerland) · 2025Article
- Rapid fluctuations in histamine associated with intake of nutritive and non-nutritive solutions.bioRxiv : the preprint server for biology · 2025Article
- Fluorescence detection of dopamine signaling to the primate striatum in relation to stimulus-reward associations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Principles and Design of Molecular Tools for Sensing and Perturbing Cell Surface Receptor Activity.Chemical reviews · 2025Review
- Batch-fabricated full glassy carbon fibers for real-time tonic and phasic dopamine detection.Frontiers in bioengineering and biotechnology · 2025Article
- Analgesic Properties of Next-Generation Modulators of Endocannabinoid Signaling: Leveraging Modern Tools for the Development of Novel Therapeutics.The Journal of pharmacology and experimental therapeutics · 2024Review
- Midbrain KCC2 downregulation: Implications for stress-related and substance use behaviors.Current opinion in neurobiology · 2024Review
- A chemogenetic approach for dopamine imaging with tunable sensitivity.Nature communications · 2024Article
- Continuous long-range measurement of tonic dopamine with advanced FSCV for pharmacodynamic analysis of levodopa-induced dyskinesia in Parkinson's disease.Frontiers in bioengineering and biotechnology · 2024Article
- Neural mechanisms of dopamine function in learning and memory inNeuronal signaling · 2024Review
- Distinct sub-second dopamine signaling in dorsolateral striatum measured by a genetically-encoded fluorescent sensor.Nature communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.