{"title":"Biosensors for translatable GPCR bias.","authors":"Ren-Lei Ji, Ya-Xiong Tao","doi":"10.1016/j.tips.2026.05.010","DOIUrl":null,"url":null,"abstract":"<p><p>Biased agonism at G protein-coupled receptors (GPCRs) is increasingly pursued to improve efficacy-safety relationships, but its translation remains limited by assay-dependent definitions of selectivity. Recent biosensors now resolve GPCR signaling across mechanistic layers that older endpoint assays often miss, including receptor conformational dynamics, heterotrimeric G protein coupling, Gα-GTP formation, β-arrestin and G protein-coupled receptor kinase engagement, activation trajectories, and signaling from intracellular compartments. Open and scalable platforms support comparative profiling, whereas more orthogonal unimolecular and endogenous-compatible systems improve mechanistic attribution and physiological relevance. Together with recent receptor-proximal studies, these advances indicate that bias should be treated as graded evidence rather than a binary label. In this opinion article, we discuss how biosensors convert assay-local signatures into translatable pharmacological evidence.</p>","PeriodicalId":23250,"journal":{"name":"Trends in pharmacological sciences","volume":" ","pages":"760-771"},"PeriodicalIF":24.0000,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in pharmacological sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.tips.2026.05.010","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Biased agonism at G protein-coupled receptors (GPCRs) is increasingly pursued to improve efficacy-safety relationships, but its translation remains limited by assay-dependent definitions of selectivity. Recent biosensors now resolve GPCR signaling across mechanistic layers that older endpoint assays often miss, including receptor conformational dynamics, heterotrimeric G protein coupling, Gα-GTP formation, β-arrestin and G protein-coupled receptor kinase engagement, activation trajectories, and signaling from intracellular compartments. Open and scalable platforms support comparative profiling, whereas more orthogonal unimolecular and endogenous-compatible systems improve mechanistic attribution and physiological relevance. Together with recent receptor-proximal studies, these advances indicate that bias should be treated as graded evidence rather than a binary label. In this opinion article, we discuss how biosensors convert assay-local signatures into translatable pharmacological evidence.
期刊介绍:
Trends in Pharmacological Sciences (TIPS) is a monthly peer-reviewed reviews journal that focuses on a wide range of topics in pharmacology, pharmacy, pharmaceutics, and toxicology. Launched in 1979, TIPS publishes concise articles discussing the latest advancements in pharmacology and therapeutics research.
The journal encourages submissions that align with its core themes while also being open to articles on the biopharma regulatory landscape, science policy and regulation, and bioethics.
Each issue of TIPS provides a platform for experts to share their insights and perspectives on the most exciting developments in the field. Through rigorous peer review, the journal ensures the quality and reliability of published articles.
Authors are invited to contribute articles that contribute to the understanding of pharmacology and its applications in various domains. Whether it's exploring innovative drug therapies or discussing the ethical considerations of pharmaceutical research, TIPS provides a valuable resource for researchers, practitioners, and policymakers in the pharmacological sciences.