A general method for quantifying ligand binding to unmodified receptors using Gaussia luciferase
Author(s) -
András Dávid Tóth,
Dániel Garger,
Susanne Prokop,
Eszter SoltészKatona,
Péter Várnai,
András Balla,
Gábor Turu,
László Hunyady
Publication year - 2021
Publication title -
journal of biological chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.361
H-Index - 513
eISSN - 1067-8816
pISSN - 0021-9258
DOI - 10.1016/j.jbc.2021.100366
Subject(s) - förster resonance energy transfer , ligand (biochemistry) , ligand binding assay , receptor , bioluminescence , chemistry , biophysics , luciferase , biosensor , biochemistry , biology , fluorescence , physics , transfection , quantum mechanics , gene
Reliable measurement of ligand binding to cell surface receptors is of outstanding biological and pharmacological importance. Resonance energy transfer–based assays are powerful approaches to achieve this goal, but the currently available methods are hindered by the necessity of receptor tagging, which can potentially alter ligand binding properties. Therefore, we developed a tag-free system to measure ligand‒receptor interactions in live cells using the Gaussia luciferase (GLuc) as a bioluminescence resonance energy transfer donor. GLuc is as small as the commonly applied Nanoluciferase but has enhanced brightness, and its proper substrate is the frequently used coelenterazine. In our assay, bystander bioluminescence resonance energy transfer is detected between a GLuc-based extracellular surface biosensor and fluorescent ligands bound to their unmodified receptors. The broad spectrum of applications includes equilibrium and kinetic ligand binding measurements for both labeled and competitive unlabeled ligands, and the assay can be utilized for different classes of plasma membrane receptors. Furthermore, the assay is suitable for high-throughput screening, as evidenced by the identification of novel α 1 adrenergic receptor ligands. Our data demonstrate that GLuc-based biosensors provide a simple, sensitive, and cost-efficient platform for drug characterization and development.
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