While several recent studies have reported on distinct ligand-dependent GPCR conformations, it remains unclear how these conformations elicit differential downstream responses. In contrast, deciphering G protein selection from functional response is complicated by the myriad of factors that regulate GPCR signaling, including relative abundance and availability of GPCR, G proteins, localization to different membrane surfaces or micro-domains, and the influence of regulatory proteins such as scaffolds, kinases, arrestins and the cellular endocytic apparatus. The proposed research addresses these limitations with a novel class of FRET-based SPASM sensors developed by the PI to systematically modulate protein-protein interactions in live cells. Research will focus o four GPCRs, b2-adrenoceptor (b2-AR), a2A-adrenoceptor, melanocortin4 receptor and b3-adrenoceptor, whose differential G protein selection has important functional consequences in the progression and treatment of heart failure, obesity and diabetes. Studies in aim 1 utilize sensors that detect the interaction between a GPCR and a peptide derived from the Ga subunit c-terminus, a known determinant of GPCR-G protein pairing. FRET-based measurements will be combined with established approaches to test the hypothesis that GPCRs adopt functionally distinct conformations in a ligand-dependent manner to trigger differential downstream responses. In preliminary studies, specificity of sensor measurements was tested with b2-AR and led to the identification of a functional Gi conformation triggered by the beta-blocker metoprolol. Studies are structured to dissect distinct events in the GPCR-G protein interaction followed by stimulation with canonical and biased agonists. A clear understanding of the GPCR-G protein interaction and G protein selection from FRET/BRET studies is limited by the lack of control over relative concentration. Studies in aim 2 will leverage the SPASM technique to delineate the sequence of events prior to and after ligand stimulation. Key questions addressed are: (1) is the ligand-free GPCR basally associated or pre-coupled to a G protein? (2) Does the GPCR dissociate from the G protein following ligand-stimulation? (3) Does G protein selection correlate with the inherent binding affinity of a GPCR for a G protein? (4) To what extent is biased signaling influenced by the local concentration of GPCR and G protein? Systematic variation of the concentration of the GPCR-G protein interaction using the SPASM technique will be used to assess the specificity of FRET and downstream responses. The proposed research has the potential to create a new technical and conceptual platform for future studies on ligand-driven signaling initiated by any GPCR. The extensive validation of the SPASM sensors is an integral part of this study, which in turn will pave the way for their use in live-cell drug screens to identify small molecules that bias GPCR signaling towards therapeutically desired outcomes.

Public Health Relevance

G-protein coupled receptors (GPCRs) are a family of proteins which communicate stimuli such as light, odorants and hormones to cells across the human body. GPCRs are a major target of modern drug therapy. An emerging paradigm in GPCR function, termed functional selectivity, significantly broadens the cellular effects of drugs that target GPCRs. We propose to develop new technologies to study GPCRs and use them to understand the molecular mechanisms that lead to functional selectivity. These studies will significantly enhance our understanding of GPCR function in diseases such as heart failure, diabetes and obesity. The novel technologies and insights gained through this research can be used to identify new drugs that exploit GPCR functional selectivity for improved treatments of these diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM105646-05
Application #
9264541
Study Section
Molecular and Integrative Signal Transduction Study Section (MIST)
Program Officer
Koduri, Sailaja
Project Start
2014-07-01
Project End
2018-04-30
Budget Start
2017-05-01
Budget End
2018-04-30
Support Year
5
Fiscal Year
2017
Total Cost
$290,383
Indirect Cost
$100,383
Name
University of Minnesota Twin Cities
Department
Genetics
Type
Schools of Medicine
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
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