ReviewMedicinal research reviews2026
Light-Based Molecular Tools to Precisely Monitor and Operate β-Adrenoceptors.
Review in Medicinal research reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
β-Adrenoceptors are important G protein-coupled receptors involved in cardiovascular, metabolic, and neurological regulation. To study their function with high precision, light-based molecular tools have been developed offering precise spatiotemporal control. Fluorescence and bioluminescence techniques allow real-time monitoring of receptor activation and organization, while photopharmacology and optogenetics enable precise external modulation of their activity. A particularly valuable approach involves photoswitchable ligands, which can be switched on and off by specific wavelengths and provide reversible control over receptor activity. In general, the combination of optical biosensing and photopharmacology enhances our ability to analyze GPCR signaling dynamics and function with minimal perturbation. In particular, these approaches open new avenues for targeted research and therapeutic interventions, offering a powerful framework for understanding β-adrenoceptors-related diseases.
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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.