Cellular and subcellular context determine outputs from signaling biosensors

Evolutionary action and structural basis of the allosteric switch controlling β2AR functional selectivity

Functional selectivity of G-protein-coupled receptors is believed to originate from ligand-specific conformations that activate only subsets of signaling effectors. In this study, to identify molecular motifs playing important roles in transducing ligand binding into distinct signaling responses, we combined in silico evolutionary lineage analysis and structure-guided site-directed mutagenesis with large-scale functional signaling characterization and non-negative matrix factorization clustering of signaling profiles. Clustering based on the signaling profiles of 28 variants of the β₂-adrenergic receptor reveals three clearly distinct phenotypical clusters, showing selective impairments of either the Gi or βarrestin/endocytosis pathways with no effect on Gs activation. Robustness of the results is confirmed using simulation-based error propagation. The structural changes resulting from functionally biasing mutations centered around the DRY, NPxxY, and PIF motifs, selectively linking these micro-switches to unique signaling profiles. Our data identify different receptor regions that are important for the stabilization of distinct conformations underlying functional selectivity.

Ligand-induced biased signaling is thought to result in part from ligand-specific receptor conformations that cause the engagement of distinct effectors. Here the authors trace and evaluate the impact of mutations of the β2–adrenergic receptor on multiple signaling outputs to provide structural-level insight into the determinants of GPCR functional selectivity.

Conductive polymer-based bioelectrochemical assembly for in vitro cytotoxicity evaluation: Renoprotective assessment of Salvia officinalis against carbon tetrachloride induced nephrotoxicity

BACKGROUND

The rise of organic electronics represents one of the most prominent technological developments of the last two decades, with its interface with biological systems highlighting new directions of research. The "soft" nature of conducting polymers renders them unique platforms for cell-based microdevices, allowing their implementation in drug discovery, pharmaceutical effect analysis, environmental pollutant testing etc.

METHODS

Cellular adhesion, proliferation and viability experiments were carried out to verify the biocompatibility of a PEDOT conductive polymer surface. Cyclic voltammetry was employed for estimating the electrocatalytic activity of the renal cell/electrode interface. The nephrotoxicity agent CCl₄ and the medicinal plant Salvia officinalis were used on the proposed assembly. Renal cell viability was also assayed through the MTT assay.

RESULTS

Renal cells were able to adhere and proliferate on the conducting polymer surface. Electrochemical responses of the polymer exhibited good correlation with cell number and CCl₄ concentration. Amelioration of the CCl₄-induced renotoxicity by co-incubation with Salvia officinalis extract was demonstrated by both the MTT assay and the electrode's capacitance.

CONCLUSIONS

A conducting polymer-based bioelectrochemical assembly was established for in vitro mammalian cytotoxicity/cytoprotection assessment, employing renal cell monolayers as the primary transducers for signal generation and biological sensing.

GENERAL SIGNIFICANCE

The knowledge on PEDOT mammalian cell biocompatibility and possible applications was expanded. The proposed interdisciplinary approach connects soft electronics with biology and could provide a useful tool for preliminary crude drug screening and bioactivity studies of natural products or plant extracts in vitro.

Conformational Profiling of the AT1 Angiotensin II Receptor Reflects Biased Agonism, G Protein Coupling, and Cellular Context

Here, we report the design and use of G protein-coupled receptor-based biosensors to monitor ligand-mediated conformational changes in receptors in intact cells. These biosensors use bioluminescence resonance energy transfer with Renilla luciferase (RlucII) as an energy donor, placed at the distal end of the receptor C-tail, and the small fluorescent molecule FlAsH as an energy acceptor, its binding site inserted at different positions throughout the intracellular loops and C-terminal tail of the angiotensin II type I receptor. We verified that the modifications did not compromise receptor localization or function before proceeding further. Our biosensors were able to capture effects of both canonical and biased ligands, even to the extent of discriminating between different biased ligands. Using a combination of G protein inhibitors and HEK 293 cell lines that were CRISPR/Cas9-engineered to delete Gα_q, Gα₁₁, Gα₁₂, and Gα₁₃ or β-arrestins, we showed that Gα_q and Gα₁₁ are required for functional responses in conformational sensors in ICL3 but not ICL2. Loss of β-arrestin did not alter biased ligand effects on ICL2P2. We also demonstrate that such biosensors are portable between different cell types and yield context-dependent readouts of G protein-coupled receptor conformation. Our study provides mechanistic insights into signaling events that depend on either G proteins or β-arrestin.

Measuring G protein-coupled receptor signalling in the brain with resonance energy transfer based biosensors

Activation of a G protein-coupled receptor (GPCR) triggers downstream signalling pathways whose identity is determined not only by the genetic background of the cell, but also by the interacting ligand. Assays that measure endogenous GPCR signalling in vivo are needed to specify the intracellular signalling pathways leading to therapeutic vs. adverse outcomes in animal models. To this end, genetically encoded biosensors can be expressed in vivo with cell type specificity to report GPCR signalling in real time. Biosensor imaging is facilitated by novel microscopic and photometric techniques developed for imaging in behaving animals. The techniques discussed here herald a new wave of in vivo signalling studies that will help identify therapeutically relevant signalling, and design functionally selective drugs for neuropsychiatric diseases.

A Pluridimensional View of Biased Agonism

When studying G protein-coupled receptor (GPCR) signaling and ligand-biased agonism, at least three dimensional spaces must be considered, as follows: 1) the distinct conformations that can be stabilized by different ligands promoting the engagement of different signaling effectors and accessory regulators; 2) the distinct subcellular trafficking that can be conferred by different ligands, which results in spatially distinct signals; and 3) the differential binding kinetics that maintain the receptor in specific conformation and/or subcellular localization for different periods of time, allowing for the engagement of distinct signaling effector subsets. These three pluridimensional aspects of signaling contribute to different faces of functional selectivity and provide a complex, interconnected way to define the signaling profile of each individual ligand acting at GPCRs. In this review, we discuss how each of these aspects may contribute to the diversity of signaling, but also how they shed light on the complexity of data analyses and interpretation. The impact of phenotype variability as a source of signaling diversity, and the influence of novel and more sensitive assays in the detection and analysis of signaling pluridimensionality, is also discussed. Finally, we discuss perspectives for the use of the concept of pluridimensional signaling in drug discovery, in which we highlight future predictive tools that may facilitate the identification of compounds with optimal therapeutic and safety properties based on the signaling signatures of drug candidates.