@article{cac16b2c3b0c4a16b316e36675679b03,
title = "Probing PAC1 receptor activation across species with an engineered sensor",
abstract = "Class-B1 G protein-coupled receptors (GPCRs) are an important family of clinically relevant drug targets that remain difficult to investigate via high-throughput screening and in animal models. Here, we engineered PAClight1P78A, a novel genetically-encoded sensor based on a class-B1 GPCR (the human PAC1 receptor, hmPAC1R) endowed with high dynamic range (ΔF/F0 = 1100, excellent ligand selectivity and rapid activation kinetics (τON = 1.15 sec). To showcase the utility of this tool for in vitro applications, we thoroughly characterized and compared its expression, brightness and performance between PAClight1P78A transfected and stably-expressing cells. Demonstrating its use in animal models, we show robust expression and fluorescence responses upon exogenous ligand application ex vivo and in vivo in mice, as well as in living zebrafish larvae. Thus, the new GPCR-based sensor can be used for a wide range of applications across the life sciences empowering both basic research and drug development efforts.",
author = "Cola, {Reto B.} and Niethammer, {Salome N.} and Preethi Rajamannar and Andrea Gresch and Bhat, {Musadiq A.} and Kevin Assoumou and Williams, {Elyse T.} and Patrick Hauck and Nina Hartrampf and Dietmar Benke and Miriam Stoeber and Gil Levkowitz and Sarah Melzer and Tommaso Patriarchi",
note = "The results are part of a project that has received funding from the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 research and innovation program (Grant agreement No. 891959) (TP). We also acknowledge funding from the Swiss National Science Foundation (Grant No. 310030_196455 and 310030L_212508), Olga Mayenfisch Foundation, and Hartmann M{\"u}ller Foundation for Medical Research (TP). PR is supported by a research grant for student{\textquoteright}s fellowship from the Benoziyo Endowment Fund for the Advancement of Science and by the Weizmann–CNRS Collaboration Program. GL lab is supported by the Israel Science Foundation (#349/21); Israel Ministry of Science and Technology (#3-16548) and Hedda, Alberto, and David Milman Baron Center for Research on the Development of Neural Networks. MS and KA are supported by a Swiss National Science Foundation Eccellenza Professorial Fellowship to M.S. (PCEFP3_181282). SM and SN have been funded by the Vienna Science and Technology Fund (WWTF) and the City of Vienna through project VRG21-015. We would like to thank Prof. Marco Celio for generously contributing financial support during the project.",
year = "2024",
month = aug,
day = "15",
doi = "10.7554/eLife.96496.3",
language = "الإنجليزيّة",
volume = "13",
journal = "eLife",
issn = "2050-084X",
publisher = "eLife Sciences Publications",
}