Use of cellular impedance to characterize ligand functional selectivity at G protein-coupled receptors

G protein-coupled receptors (GPCRs) represent the largest family of therapeutic targets for the treatment of a wide variety of human pathologies. Decades of research have provided an extensive base of knowledge about these fascinating membrane proteins, yet significant advancements in the understanding of the structural and functional details of these important drug targets continue to accumulate to this day. One such area of research in particular that has caused a paradigm shift in the way we conceptualize receptor function is a recently identified phenomenon known as ligand functional selectivity. This concept refers to the numerous observations that the pharmacological activity of a ligand at a given receptor is not always conserved over all possible signalling events engaged by the receptor, often resulting in the selectivity of a ligand to modulate only a subset of the receptor’s signalling repertoire. This model of receptor activity reveals exciting new possibilities for the discovery of safer and more efficacious drugs targeting GPCRs; through the design of drugs specifically targeting the pathway of therapeutic interest without modulating other, uninvolved pathways which could lead to tolerance or adverse effects. This thesis will describe the use of a novel, label-free technique based on cellular impedance to further characterize ligand functional selectivity at GPCRs. By measuring changes in higher-order cellular responses, such as changes in morphology, adhesion and redistribution of macromolecules, this approach provides a means to simultaneously measure the activity of multiple signalling pathways converging on these responses.  Using the β2-adrenergic receptor (β2AR) as a model system, we have demonstrated that changes in cellular impedance reflect the activity of multiple signalling events elicited following ligand stimulation of the receptor. Isoproterenol, the prototypical agonist of the β2AR, was found to elicit a dose-dependent impedance response consisting of multiple, discrete features over time, which could be blocked in a competitive manner by the antagonist ICI118,551. Using pathway-selective inhibitors, we were able to dissect the contribution of many of the canonical pathways activated by the β2AR, including Gs- and Gi-dependent signalling, as well as cAMP production and ERK1/2 activation. Furthermore, through the pharmacological dissection of this impedance response, we identified a novel Ca2+ mobilization pathway that contributes to the overall cellular response to β2AR stimulation. In a separate study of the mechanism generating this β2AR-promoted Ca2+ response, we revealed a Gs-dependent transactivation mechanism of the Gq-coupled P2Y11 purinergic receptor. Given the ability of impedance measurements to capture this pleiotropic signalling activity, we then reasoned that ligands exhibiting different signalling profiles should generate distinct impedance signatures. In screening a library of functionally selective compounds targeting the β2AR, we obtained a wide variety of impedance signatures. Through the development of a novel computational approach, we were able to cluster these signatures into five distinct compounds classes, which were highly correlated with signalling profiles of the ligands.  In an extension of this approach, we then combined impedance screening with the use of pathway-selective inhibitors to determine if this would provide greater resolution in distinguishing among functionally distinct compounds. By assessing if and how a given signalling pathway contributes to a ligand’s impedance signature, we were able to reveal even more texture among ligands targeting the β2AR. Furthermore, this approach was found to be predictive of the signalling profiles of a library of uncharacterized compounds for the β2AR. This work led to the development of a visualization method to express ligand functional selectivity and revealed potentially novel classes of compounds for the receptor. These compound classes were then validated in human cardiomyocytes, confirming that compounds clustering into different classes produced distinct effects on cardiomyocyte contractility.  Altogether, this work demonstrates the ability of cellular impedance to accurately measure functional differences among compounds targeting GPCRs. In providing a representation of the pluridimensionality of GPCR signalling using a single, label-free assay, impedance profiling represents an innovative strategy to assess ligand functional selectivity and may be a valuable addition to future drug discovery campaigns.

Keyphrases: Cardiomyocytes, G protein-coupled receptors, β2-adrenergic receptor, Ligand functional selectivity, Signalling networks, Cellular impedance