@article {Yanagawa205161, author = {Masataka Yanagawa and Michio Hiroshima and Yuichi Togashi and Mitsuhiro Abe and Takahiro Yamashita and Yoshinori Shichida and Masayuki Murata and Masahiro Ueda and Yasushi Sako}, title = {Title: Single-molecule diffusion-based estimation of ligand effects on G protein-coupled receptors}, elocation-id = {205161}, year = {2018}, doi = {10.1101/205161}, publisher = {Cold Spring Harbor Laboratory}, abstract = {G protein-coupled receptors (GPCRs) are major drug targets and have high potential for drug discovery. The development of a method for measuring the activities of GPCRs is essential for pharmacology and drug screening. However, it is difficult to measure the effects of a drug by monitoring the receptor on the cell surface, and changes in the concentrations of downstream signaling molecules, which depend on signaling pathway selectivity of the receptor, are used as an index of the receptor activity. Here, we show that single-molecule imaging analysis provides an alternative method for assessing ligand effects on GPCR. We monitored the dynamics of the diffusion of metabotropic glutamate receptor 3 (mGluR3), a class C GPCR, under various ligand conditions by using total internal reflection fluorescence microscopy (TIRFM). The single-molecule tracking analysis demonstrates that changes in the average diffusion coefficient of mGluR3 quantitatively reflect the ligand-dependent activity. Then, we reveal that the diffusion of receptor molecules is altered by the common physiological events associated with GPCRs, including G protein binding or accumulation in clathrin-coated pits, by inhibition experiments and dual-color single-molecule imaging analysis. We also confirm the generality of agonist-induced diffusion change in class A and B GPCRs, demonstrating that the diffusion coefficient is a good index for estimating the ligand effects on many GPCRs regardless of the phylogenetic groups, chemical properties of the ligands, and G protein-coupling selectivity.One Sentence Summary: Single-molecule imaging for evaluating ligand effects on GPCRs by monitoring the diffusion dynamics on the cell surface.}, URL = {https://www.biorxiv.org/content/early/2018/04/23/205161}, eprint = {https://www.biorxiv.org/content/early/2018/04/23/205161.full.pdf}, journal = {bioRxiv} }