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Scaling up Functional Analyses of the G Protein-Coupled Receptor Rhodopsin.

Authors :
Scott BM
Chen SK
Van Nynatten A
Liu J
Schott RK
Heon E
Peisajovich SG
Chang BSW
Source :
Journal of molecular evolution [J Mol Evol] 2024 Feb; Vol. 92 (1), pp. 61-71. Date of Electronic Publication: 2024 Feb 07.
Publication Year :
2024

Abstract

Eukaryotic cells use G protein-coupled receptors (GPCRs) to convert external stimuli into internal signals to elicit cellular responses. However, how mutations in GPCR-coding genes affect GPCR activation and downstream signaling pathways remain poorly understood. Approaches such as deep mutational scanning show promise in investigations of GPCRs, but a high-throughput method to measure rhodopsin activation has yet to be achieved. Here, we scale up a fluorescent reporter assay in budding yeast that we engineered to study rhodopsin's light-activated signal transduction. Using this approach, we measured the mutational effects of over 1200 individual human rhodopsin mutants, generated by low-frequency random mutagenesis of the GPCR rhodopsin (RHO) gene. Analysis of the data in the context of rhodopsin's three-dimensional structure reveals that transmembrane helices are generally less tolerant to mutations compared to flanking helices that face the lipid bilayer, which suggest that mutational tolerance is contingent on both the local environment surrounding specific residues and the specific position of these residues in the protein structure. Comparison of functional scores from our screen to clinically identified rhodopsin disease variants found many pathogenic mutants to be loss of function. Lastly, functional scores from our assay were consistent with a complex counterion mechanism involved in ligand-binding and rhodopsin activation. Our results demonstrate that deep mutational scanning is possible for rhodopsin activation and can be an effective method for revealing properties of mutational tolerance that may be generalizable to other transmembrane proteins.<br /> (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Details

Language :
English
ISSN :
1432-1432
Volume :
92
Issue :
1
Database :
MEDLINE
Journal :
Journal of molecular evolution
Publication Type :
Academic Journal
Accession number :
38324225
Full Text :
https://doi.org/10.1007/s00239-024-10154-3