Full-length G Protein-coupled Receptors Research Articles

Towards deorphanizing G protein-coupled receptors of Schistosoma mansoni using the MALAR yeast two-hybrid system.

Schistosomiasis is an acute and chronic disease caused by parasitic worms of the genus Schistosoma. Treatment is solely dependent on praziquantel. In the face of the worldwide dimension, projects have been initiated to develop new chemotherapies. Due to their proven druggability, G protein-coupled receptors (GPCRs) are promising targets for anthelmintics. However, to identify candidate receptors, a deeper understanding of GPCR signalling in schistosome biology is essential. Comparative transcriptomics of paired and unpaired worms and their gonads revealed 59 differentially regulated GPCR-coding genes putatively involved in neuronal processes. In general, the diversity among GPCRs and their integral membrane topology make it difficult to characterize and deorphanize these receptors. To overcome existing limitations, we performed a pilot approach and utilized the innovative Membrane-Anchored Ligand And Receptor yeast two-hybrid system (MALAR-Y2H) to associate potential neuropeptide ligands with their cognate receptors. Here, we demonstrated the ability to express full-length GPCRs of Schistosoma mansoni in a heterologous yeast-based system. Additionally, we localized GPCRs and chimeras of neuropeptides fused to the WBP1 transmembrane domain of yeast to the plasma membrane of yeast cells. Reporter gene assays indicated ligand-receptor binding, which allowed us to identify certain neuropeptides as potential ligands for two GPCRs, which had been found before to be differentially expressed in schistosomes in a pairing-dependent manner. Thus, the MALAR-Y2H system appears suitable to unravel schistosome GPCR-ligand interactions. Besides its relevance for understanding schistosome biology, identifying and characterizing GPCR-ligand interaction will also contribute to applied research aspects.

Disease-associated extracellular loop mutations in the adhesion G protein-coupled receptor G1 (ADGRG1; GPR56) differentially regulate downstream signaling

Mutations to the adhesion G protein-coupled receptor ADGRG1 (G1; also known as GPR56) underlie the neurological disorder bilateral frontoparietal polymicrogyria. Disease-associated mutations in G1 studied to date are believed to induce complete loss of receptor function through disruption of either receptor trafficking or signaling activity. Given that N-terminal truncation of G1 and other adhesion G protein-coupled receptors has been shown to significantly increase the receptors' constitutive signaling, we examined two different bilateral frontoparietal polymicrogyria-inducing extracellular loop mutations (R565W and L640R) in the context of both full-length and N-terminally truncated (ΔNT) G1. Interestingly, we found that these mutations reduced surface expression of full-length G1 but not G1-ΔNT in HEK-293 cells. Moreover, the mutations ablated receptor-mediated activation of serum response factor luciferase, a classic measure of Gα12/13-mediated signaling, but had no effect on G1-mediated signaling to nuclear factor of activated T cells (NFAT) luciferase. Given these differential signaling results, we sought to further elucidate the pathway by which G1 can activate NFAT luciferase. We found no evidence that ΔNT activation of NFAT is dependent on Gαq/11-mediated or β-arrestin-mediated signaling but rather involves liberation of Gβγ subunits and activation of calcium channels. These findings reveal that disease-associated mutations to the extracellular loops of G1 differentially alter receptor trafficking, depending on the presence of the N terminus, and differentially alter signaling to distinct downstream pathways.

Disruption of Rhodopsin Dimerization with Synthetic Peptides Targeting an Interaction Interface

Although homo- and heterodimerizations of G protein-coupled receptors (GPCRs) are well documented, GPCR monomers are able to assemble in different ways, thus causing variations in the interactive interface between receptor monomers among different GPCRs. Moreover, the functional consequences of this phenomenon, which remain to be clarified, could be specific for different GPCRs. Synthetic peptides derived from transmembrane (TM) domains can interact with a full-length GPCR, blocking dimer formation and affecting its function. Here we used peptides corresponding to TM helices of bovine rhodopsin (Rho) to investigate the Rho dimer interface and functional consequences of its disruption. Incubation of Rho with TM1, TM2, TM4, and TM5 peptides in rod outer segment (ROS) membranes shifted the resulting detergent-solubilized protein migration through a gel filtration column toward smaller molecular masses with a reduced propensity for dimer formation in a cross-linking reaction. Binding of these TM peptides to Rho was characterized by both mass spectrometry and a label-free assay from which dissociation constants were calculated. A BRET (bioluminescence resonance energy transfer) assay revealed that the physical interaction between Rho molecules expressed in membranes of living cells was blocked by the same four TM peptides identified in our in vitro experiments. Although disruption of the Rho dimer/oligomer had no effect on the rates of G protein activation, binding of Gt to the activated receptor stabilized the dimer. However, TM peptide-induced disruption of dimer/oligomer decreased receptor stability, suggesting that Rho supramolecular organization could be essential for ROS stabilization and receptor trafficking.

Small expression tags enhance bacterial expression of the first three transmembrane segments of the apelin receptor.

G-protein coupled receptors (GPCRs) are inherently dynamic membrane protein modulators of various important cellular signaling cascades. The apelin receptor (AR or APJ) is a class A GPCR involved in numerous physiological processes, implicated in angiogenesis during tumour formation and as a CD4 co-receptor for entry of human immunodeficiency virus type 1 (HIV-1) to cells. Due to the lack of efficient methods to produce full-length GPCRs enriched with nuclear magnetic resonance (NMR) active (15)N, (13)C, and (or) (2)H isotopes, small GPCR fragments typically comprising 1-2 transmembrane segments are frequently studied using NMR spectroscopy. Here, we report successful overexpression of transmembrane segments 1-3 of AR (AR_TM1-3) in the C41(DE3) strain of Escherichia coli using an AT-rich gene tag previously reported to enhance cell-free expression yields. The resulting protein, with 6 additional N-terminal residues due to the expression tag, was purified using high-performance liquid chromatography (HPLC). Far UV circular dichroism spectropolarimetry demonstrates that AR_TM1-3 has the predicted ~40% α-helical character in membrane-mimetic environments. (1)H-(15)N HSQC NMR experiments imply amenability to high-resolution NMR structural characterization and stability in solution for weeks. Notably, this small expression tag approach may also be generally applicable to other membrane proteins that are difficult to express in E. coli.

CHIP-MYTH: A novel interactive proteomics method for the assessment of agonist-dependent interactions of the human β2-adrenergic receptor

G-protein coupled receptors (GPCRs) are involved in a variety of disease processes and comprise major drug targets. However, the complexity of integral membrane proteins such as GPCRs makes the identification of their interacting partners and subsequent drug development challenging. A comprehensive understanding of GPCR protein interaction networks is needed to design effective therapeutic strategies to inhibit these drug targets. Here, we developed a novel split-ubiquitin membrane yeast two-hybrid (MYTH) technology called CHIP-MYTH, which allows the unbiased characterization of interaction partners of full-length GPCRs in a drug-dependent manner. This was achieved by coupling DNA microarray technology to the MYTH approach, which allows a quantitative evaluation of interacting partners of a given integral membrane protein in the presence or absence of drug. As a proof of principle, we applied the CHIP-MYTH approach to the human β2-adrenergic receptor (β2AR), a target of interest in the treatment of asthma, chronic obstructive pulmonary disease (COPD), neurological disease, cardiovascular disease, and obesity. A CHIP-MYTH screen was performed in the presence or absence of salmeterol, a long-acting β2AR-agonist. Our results suggest that β2AR activation with salmeterol can induce the dissociation of heterotrimeric G-proteins, Gαβγ, into Gα and Gβγ subunits, which in turn activates downstream signaling cascades. Using CHIP-MYTH, we confirmed previously known and identified novel β2AR interactors involved in GPCR-mediated signaling cascades. Several of these interactions were confirmed in mammalian cells using LUminescence-based Mammalian IntERactome (LUMIER) and co-immunoprecipitation assays. In summary, the CHIP-MYTH approach is ideal for conducting comprehensive protein-protein interactions (PPI) screenings of full-length GPCRs in the presence or absence of drugs, thus providing a valuable tool to further our understanding of GPCR-mediated signaling.

A Novel Unified Ab Initio and Template-Based Approach to GPCR Modeling: Case of EDG-LPA Receptors.

G-protein-coupled receptors (GPCRs) mediate diverse biological functions through intracellular signal cascades initiated by intracellular G-protein coupling following extracellular agonist binding. GPCRs are quintessential targets for drug design due to their involvement in pathophysiological conditions. The difficulty associated with GPCR crystallization and lack of accurate computational method for GPCR modeling constitutes the major setbacks for GPCRbased drug development. Here, we reported the combination of previously known ab initio and template-based methods as a novel approach applicable for modeling geometrically optimized full-length GPCR. First, geometry-optimized transmembrane helices (7Tms) of full-length GPCR are modeled using the GPCR server (http://gpcr.usc.es) followed by loop-refinement. A second structure is generated via the Iterative approach as implemented on I-TASSER (http://zhanglab.ccmb.med.umich.edu/I-TASSER/) server. The best Structures are then selected from the servers based on DOPE-score (GPCR server) and C-score (I-TASSER server) and piped into ModRefiner algorithm as initial and reference models respectively. ModRefiner drives the folding of the N- and C-termini regions of the initial model towards the reference model without altering the local geometries of the 7Tms and the loop regions as evaluated by Local-Global Alignment (LGA) algorithm. Finally, atomic clashes in the ModelRefiner output are resolved using Fragment-Guided Molecular Dynamics (FG-MD) simulation. Comparatively, FG-MD output structures of our test proteins (Endothelial Differentiation Gene-class (EDG) Lysophosphatidic acid receptors) have better model qualities than the initial and reference structures as evaluated by the QmeanScore6 algorithm. Keywords: C-and N-terminal optimization, EDG-LPAs, GPCR modeling, mod refiner, I-TASSER.

DNA Display Selection of Peptide Ligands for a Full-Length Human G Protein-Coupled Receptor on CHO-K1 Cells

The G protein-coupled receptors (GPCRs), which form the largest group of transmembrane proteins involved in signal transduction, are major targets of currently available drugs. Thus, the search for cognate and surrogate peptide ligands for GPCRs is of both basic and therapeutic interest. Here we describe the application of an in vitro DNA display technology to screening libraries of peptide ligands for full-length GPCRs expressed on whole cells. We used human angiotensin II (Ang II) type-1 receptor (hAT1R) as a model GPCR. Under improved selection conditions using hAT1R-expressing Chinese hamster ovary (CHO)-K1 cells as bait, we confirmed that Ang II gene could be enriched more than 10,000-fold after four rounds of selection. Further, we successfully selected diverse Ang II-like peptides from randomized peptide libraries. The results provide more precise information on the sequence-function relationships of hAT1R ligands than can be obtained by conventional alanine-scanning mutagenesis. Completely in vitro DNA display can overcome the limitations of current display technologies and is expected to prove widely useful for screening diverse libraries of mutant peptide and protein ligands for receptors that can be expressed functionally on the surface of CHO-K1 cells.

Screening of GPCR C-Terminal Tails for Interactions with PSD-95 - A Quantitative Approach to Identify and Characterize GPCR-PDZ Interactions

Scaffolding proteins containing PDZ domains are among the most abundant interaction partners of G protein-coupled receptors (GPCRs). Discovery and characterization of GPCR-PDZ interactions are important steps in the understanding of these interactions and how they affect the function of GPCRs. We have used the prototypical PDZ domain scaffold postsynaptic density protein 95 (PSD-95) to develop a generic high-throughput compatible approach to accelerate the description of GPCR-PDZ interactions. By screening of two libraries of GPCR C-terminal tails, we have identified a number of novel GPCR interactions with PSD-95, e.g. four of the somatostatin receptors (SSTRs), the neuropeptide Y receptor Y2 and the chemokine receptor CXCR2. These in vitro findings correlated well with the interactions in HEK293 cells, which shows the potential for discovery of new interactions. We show that a fluorescence polarization-based assay has higher sensitivity than a pull-down assay for primary screening of GPCR-PDZ interactions. Quantitative characterization showed inhibition constants (Ki values) around 100 μM or lower for known GPCR-PSD-95 interactions, and Ki values ranging from below 100 μM to the detection limit of 1000 μM for the identified interactions. Quantitative characterization is useful to evaluate the significance of an interaction and to compare the results with other studies. The results obtained with different lengths of the receptor (full-length GPCR, the full cytosolic C-terminal tail and peptides containing only the PDZ motif) and of the PDZ protein (full-length PSD-95 and isolated PDZ domains) were generally in close agreement.

The G protein-coupled receptor subset of the dog genome is more similar to that in humans than rodents

BackgroundThe dog is an important model organism and it is considered to be closer to humans than rodents regarding metabolism and responses to drugs. The close relationship between humans and dogs over many centuries has lead to the diversity of the canine species, important genetic discoveries and an appreciation of the effects of old age in another species. The superfamily of G protein-coupled receptors (GPCRs) is one of the largest gene families in most mammals and the most exploited in terms of drug discovery. An accurate comparison of the GPCR repertoires in dog and human is valuable for the prediction of functional similarities and differences between the species.ResultsWe searched the dog genome for non-olfactory GPCRs and obtained 353 full-length GPCR gene sequences, 18 incomplete sequences and 13 pseudogenes. We established relationships between human, dog, rat and mouse GPCRs resolving orthologous pairs and species-specific duplicates. We found that 12 dog GPCR genes are missing in humans while 24 human GPCR genes are not part of the dog GPCR repertoire. There is a higher number of orthologous pairs between dog and human that are conserved as compared with either mouse or rat. In almost all cases the differences observed between the dog and human genomes coincide with other variations in the rodent species. Several GPCR gene expansions characteristic for rodents are not found in dog.ConclusionThe repertoire of dog non-olfactory GPCRs is more similar to the repertoire in humans as compared with the one in rodents. The comparison of the dog, human and rodent repertoires revealed several examples of species-specific gene duplications and deletions. This information is useful in the selection of model organisms for pharmacological experiments.

Structure and pH sensitivity of the transmembrane segment 3 of rhodopsin

Activation of G protein-coupled receptors (GPCRs) originates in ligand-induced protein conformational changes that are transmitted to the cytosolic receptor surface. In the photoreceptor rhodopsin, and possibly other rhodopsin-like GPCRs, protonation of a carboxylic acid in the conserved E(D)RY motif at the cytosolic end of transmembrane helix 3 (TM3) is coupled to receptor activation. Here, we have investigated the structure of synthetic peptides derived from rhodopsin TM3. Polarized FTIR spectroscopy reveals a helical structure of a 31-mer TM3 peptide reconstituted into PC vesicles with a large tilt of 40-50 degrees of the helical axis relative to the membrane normal. Helical structure is also observed for the TM3 peptide in detergent micelles and depends on pH, especially in the C-terminal sequence. In addition, the fluorescence emission of the single tyrosine of the D(E)RY motif in the TM3 peptide exhibits a pronounced pH sensitivity that is abolished when Glu is replaced by Gln, demonstrating that protonation of the conserved Glu side chain affects the structure in the environment of the D(E)RY motif of TM3. The pH regulation of the C-terminal TM3 structure may be an intrinsic feature of the E(D)RY motif in other class I receptors, allowing the coupling of protonation and conformation of membrane-exposed residues in full-length GPCRs.

Predicting the Coupling Specificity of G-protein Coupled Receptors to G-proteins by Support Vector Machines

G-protein coupled receptors (GPCRs) represent one of the most important classes of drug targets for pharmaceutical industry and play important roles in cellular signal transduction. Predicting the coupling specificity of GPCRs to G-proteins is vital for further understanding the mechanism of signal transduction and the function of the receptors within a cell, which can provide new clues for pharmaceutical research and development. In this study, the features of amino acid compositions and physiochemical properties of the full-length GPCR sequences have been analyzed and extracted. Based on these features, classifiers have been developed to predict the coupling specificity of GPCRs to G-proteins using support vector machines. The testing results show that this method could obtain better prediction accuracy.