Recombinant GPR150 is synthesized using multiple expression systems, each optimized for specific research applications.
C-Myc/DDK: Facilitates purification and detection (Boster Bio) .
His-Tag: Enables nickel-affinity chromatography (Creative BioMart) .
Recombinant GPR150 is validated for purity, stability, and functionality.
| Parameter | Specification | Source |
|---|---|---|
| Purity | >80% (SDS-PAGE, Coomassie staining) | Boster Bio, Origene |
| Concentration | >50 µg/mL (microplate BCA assay) | Boster Bio |
| Storage | -80°C in PBS + 10% glycerol | Boster Bio, Cusabio |
GPR150 is linked to signaling pathways involving cAMP modulation and circadian rhythm regulation . Key interacting partners include:
Ovarian Cancer: Silencing via promoter methylation correlates with tumor progression .
Pain Signaling: Expressed in dorsal root ganglia neurons; potential target for osteoarthritis pain .
Recombinant GPR150 is critical for:
Drug Discovery: Screening for ligands targeting orphan GPCRs .
Mechanistic Studies: Elucidating roles in circadian rhythms and cancer .
Antibody Validation: Used as a positive control in Western blotting and immunohistochemistry .
Current research prioritizes:
GPR150 (G-protein coupled receptor 150) is classified as a Class A (rhodopsin-like) GPCR. Like other members of this family, it possesses the characteristic seven-transmembrane domain structure and likely signals through heterotrimeric G proteins. Class A represents the largest subfamily of GPCRs and includes well-characterized receptors such as adrenergic receptors, histamine receptors, and opioid receptors .
The classification is based on sequence homology and structural characteristics. GPR150 remains an orphan receptor, meaning its endogenous ligand has not yet been definitively identified. While many GPCRs couple to specific G protein families (Gs, Gi/o, Gq/11, or G12/13), the coupling profile of GPR150 remains to be fully characterized through experimental validation .
Methodological approach for classification studies:
Sequence alignment with known GPCRs
Phylogenetic analysis to determine evolutionary relationships
Structural prediction through homology modeling
Experimental G protein coupling assays similar to those used for other GPCRs
Several expression systems can be employed for producing recombinant GPR150, each with distinct advantages:
| Expression System | Advantages | Limitations | Typical Yield | Post-translational Modifications |
|---|---|---|---|---|
| HEK293/HEK293T | Native mammalian PTMs, good for functional studies | Lower yields | Low-Medium | Complete |
| CHO cells | Stable expression, scalable | Time-consuming to develop stable lines | Medium | Complete |
| Sf9/Hi5 insect cells | Higher expression levels | Different glycosylation patterns | High | Partial |
| Pichia pastoris | High-density culture, cost-effective | Glycosylation differences | Medium-High | Different pattern |
For functional studies, mammalian expression systems (particularly HEK293 cells) are recommended as they provide the most physiologically relevant post-translational modifications and cellular environment. For structural studies requiring larger protein quantities, insect cell systems using baculovirus expression vectors may be more appropriate .
Methodological considerations:
Include epitope tags (FLAG, HA, His) for detection and purification
Optimize codon usage for the chosen expression system
Consider including fusion partners to enhance expression and membrane trafficking
Validate functional activity through G protein coupling assays similar to those used for GPR15
Without known endogenous ligands, validating GPR150 functionality requires multiple approaches:
Expression validation:
Western blotting with anti-tag antibodies
Flow cytometry to confirm surface expression
Immunofluorescence to verify membrane localization
Functional coupling assessment:
BRET-based G protein activation assays testing multiple Gα subtypes (Gi1, Gi2, Gi3, GoA, GoB, Gz, Gs, Gq, G11, G15, G13) similar to methods used for GPR15
Second messenger assays:
cAMP accumulation (for Gs/Gi coupling)
Calcium mobilization (for Gq coupling)
RhoA activation (for G12/13 coupling)
Use of pathway-specific inhibitors (e.g., pertussis toxin for Gi/o pathways)
Constitutive activity assessment:
Compare basal signaling levels between GPR150-expressing cells and control cells
Inverse agonist screening if constitutive activity is detected
Data analysis should include dose-response relationships, activation kinetics, and statistical comparison with appropriate controls including other well-characterized GPCRs.
Several challenges are common when working with orphan GPCRs like GPR150:
Low surface expression:
Optimize signal peptide sequences
Include chaperones (e.g., CANX, CALR) to improve folding
Create fusion constructs with well-expressed membrane proteins
Use chemical chaperones like glycerol or DMSO
Protein instability:
Screen detergents systematically (DDM, LMNG, GDN)
Include cholesterol hemisuccinate (CHS) during purification
Perform thermostability assays to identify stabilizing conditions
Lack of functional assays without known ligands:
Utilize constitutive activity as a readout
Develop chimeric receptors with known GPCRs
Explore random peptide libraries for activating ligands
Low signal-to-noise ratio in signaling assays:
Use BRET-based assays with improved sensors
Develop cell lines with minimal endogenous GPCR expression
Employ biosensors with enhanced sensitivity
Determining G protein coupling is crucial for understanding GPR150 signaling. A comprehensive approach should include:
Direct G protein activation assays:
BRET-based assays measuring interaction between Gα and Gβγ subunits across multiple G protein subtypes (as described for GPR15)
Bioluminescent assays where masGRK3ct-Nluc serves as BRET energy donor anchored to the cell membrane, and Venus-tagged Gβγ dimers serve as acceptors
Comparison of activation profiles across all four G protein families (Gi/o, Gs, Gq/11, G12/13)
Second messenger quantification:
cAMP modulation (for Gs/Gi coupling)
IP3 production and calcium flux (for Gq/11)
RhoA activation (for G12/13)
Pathway-specific inhibitors:
Pertussis toxin to block Gi/o signaling
YM-254890 to inhibit Gq/11 pathways
CRISPR/Cas9 knockout of specific G proteins to confirm coupling
Analysis should include:
Potency (EC50) determination for each pathway
Efficacy (Emax) comparison across pathways
Activation kinetics analysis
Biased signaling quantification using operational models
This approach would mirror methods used for GPR15, where researchers determined preferential coupling to Gi/o rather than other pathways and further investigated specific Gi/o subtypes (Gi1, Gi2, Gi3, GoA, GoB, Gz) .
Ligand identification for orphan GPCRs requires multiple parallel approaches:
Computational methods:
Homology modeling based on related GPCRs with known structures
Virtual screening of compound libraries against predicted binding pocket
Pharmacophore modeling using related receptor ligands
Molecular dynamics simulations to identify potential binding sites
High-throughput screening:
Functional cell-based assays measuring G protein activation
BRET-based β-arrestin recruitment assays
Label-free assays (dynamic mass redistribution)
Screening diverse compound libraries (small molecules, peptides, biologics)
Deorphanization strategies:
Tissue extract fractionation from high-expression tissues
Reverse pharmacology approaches
Systematic screening of candidate endogenous molecules
Transcriptional correlation analysis to identify potential ligand-receptor pairs
Innovative approaches:
Chemogenomic analysis based on ligands of related GPCRs
Development of surrogate activation systems
CRISPR activation/repression screening to identify pathways
For orphan GPCRs, screening conditions should include various buffer compositions, pH levels, and cellular contexts, as activation conditions may be highly specific.
GPCR dimerization can significantly impact receptor pharmacology and function:
Biophysical methods to detect dimerization:
Resonance energy transfer techniques:
BRET between differently tagged receptor variants
FRET with fluorescent protein fusions
Time-resolved FRET for improved sensitivity
Protein complementation assays:
Split luciferase complementation
Bimolecular fluorescence complementation
Co-immunoprecipitation with differentially tagged receptors
Single-molecule imaging techniques
Functional consequences assessment:
Changes in G protein coupling preferences
Altered ligand binding properties and cooperativity
Modified trafficking and internalization dynamics
Signaling cross-talk between protomers
Potential heterodimer partners:
Closely related orphan GPCRs
GPCRs with overlapping tissue expression
Testing with known dimerizing GPCRs as positive controls
Analysis approaches:
Concentration-dependence studies
Competition with interfering peptides derived from transmembrane domains
Computational prediction of dimerization interfaces
Mutagenesis of predicted interface residues
Results should be interpreted cautiously, with appropriate controls to distinguish specific dimerization from non-specific aggregation.
Understanding structure-function relationships requires systematic investigation:
Mutagenesis studies targeting:
Conserved motifs in Class A GPCRs (DRY, NPxxY, CWxP)
Predicted ligand binding pocket residues
Intracellular loops involved in G protein coupling
Extracellular domains potentially involved in ligand recognition
Residues potentially involved in dimerization
Chimeric receptor approaches:
Domain swapping with well-characterized GPCRs
Systematic replacement of loops and transmembrane regions
Creation of receptors with altered G protein coupling preferences
Structural biology approaches:
Homology modeling based on related GPCRs
Cryo-EM structure determination if expression levels permit
Hydrogen-deuterium exchange mass spectrometry
Disulfide cross-linking to probe conformational changes
Functional readouts for mutants:
Surface expression levels (distinguish trafficking from functional defects)
Constitutive activity (basal signaling)
G protein coupling efficiency
Receptor internalization and trafficking
Data integration should correlate structural elements with specific functional outcomes, building a comprehensive map of critical residues and domains.
Biased signaling (preferential activation of certain pathways over others) has significant implications for drug development:
Experimental approaches:
Parallel measurement of multiple signaling pathways:
G protein activation via BRET
β-arrestin recruitment
Receptor internalization
ERK phosphorylation
Calculation of bias factors using operational models
Kinetic analysis of different signaling events
Phosphorylation site mapping to correlate with pathway activation
Tool development:
Creation of phospho-deficient mutants
Development of pathway-specific biosensors
Construction of G protein-uncoupled mutants
Potential implications:
Therapeutic advantage through selective pathway activation
Understanding of complex physiological responses
Identification of pathway-specific functions
Development of ligands with improved side effect profiles
Analysis frameworks:
Black and Leff operational model
Kinetic context quantification
Systems biology modeling of integrated pathways
This approach mirrors investigations of other GPCRs where differential G protein coupling has been demonstrated, such as the preferential coupling of GPR15 to Gi/o rather than other G protein families .
Purifying GPCRs requires specialized approaches to maintain structural integrity and function:
Solubilization optimization:
Systematic screening of detergents:
Classical detergents (DDM, DM)
Newer detergents (LMNG, GDN)
Styrene maleic acid lipid particles (SMALPs)
Addition of stabilizing lipids (CHS, specific phospholipids)
Buffer optimization (pH, salt concentration, additives)
Affinity purification:
Epitope tag selection (His, FLAG, 1D4, etc.)
Single-step vs. tandem affinity purification
On-column detergent exchange
Elution condition optimization to maintain stability
Size exclusion chromatography:
Assessment of monodispersity
Removal of aggregates
Buffer optimization during SEC
Analysis of oligomeric state
Quality control metrics:
SDS-PAGE and Western blotting
Thermostability assays (CPM, FSEC-TS)
Mass spectrometry for intact mass and modifications
Functional validation post-purification
| Detergent | CMC (mM) | Advantages | Limitations | Recommended Concentration |
|---|---|---|---|---|
| DDM | 0.17 | Well-characterized | Larger micelles | 1% for extraction, 0.1% for purification |
| LMNG | 0.01 | Small micelles, high stability | Expensive | 1% for extraction, 0.01% for purification |
| GDN | 0.018 | Enhanced stability | Limited availability | 1% for extraction, 0.02% for purification |
| SMA | N/A | Native lipid environment | pH limitations | 2.5% w/v polymer |
The purification strategy should be tailored to the intended application, with structural studies requiring higher purity and stability than functional assays.
Understanding tissue expression patterns provides crucial insights for functional investigation:
Expression analysis methods:
RT-qPCR across diverse tissues
RNA-seq data mining from public databases
Immunohistochemistry with validated antibodies
Single-cell RNA sequencing for cellular resolution
In situ hybridization for spatial localization
Expected expression pattern based on related orphan GPCRs:
Potential for enrichment in specific brain regions
Possible expression in endocrine tissues
Potential immune cell expression
Developmental regulation considerations
Functional study design based on expression:
Selection of physiologically relevant cell models
Development of tissue-specific knockout models
Design of ex vivo assays from high-expression tissues
Correlation with related signaling pathways in expressing tissues
Methodological considerations:
Validation with multiple approaches
Inclusion of positive and negative control tissues
Consideration of splice variants
Comparison across species for evolutionary conservation
This information guides the selection of appropriate cell types for functional studies and suggests potential physiological roles based on expression patterns.
Developing selective antibodies against GPCRs presents unique challenges:
Antigen design strategies:
Peptides from extracellular domains:
N-terminal domain peptides
Extracellular loop peptides
Combined epitope approaches
Recombinant protein fragments
DNA immunization with full-length GPR150
Cell-based immunization with overexpressing cells
Production approaches:
Polyclonal antibodies for initial characterization
Monoclonal antibody development
Phage display for synthetic antibody fragments
Single B-cell cloning from immunized animals
Validation requirements:
Western blotting against recombinant GPR150
Flow cytometry on expressing vs. non-expressing cells
Immunoprecipitation followed by mass spectrometry
Knockout/knockdown controls
Cross-reactivity testing against related GPCRs
Native vs. denatured protein recognition
Application-specific considerations:
Conformation-specific antibodies
Phospho-specific antibodies for activation states
Function-modulating antibodies as research tools
Species cross-reactivity for translational studies
Each application may require different antibody characteristics, necessitating a multi-faceted approach to antibody development and validation.
CRISPR technology offers powerful tools for investigating orphan GPCRs:
Knockout strategies:
Complete gene knockout using paired gRNAs
Exon-specific targeting for functional domain analysis
Inducible knockout systems
Knockout validation methodologies:
Genomic sequencing
Protein expression verification
Off-target analysis
Knockin approaches:
Epitope tag insertion for detection
Fluorescent protein fusion for localization studies
Reporter gene knockin for expression analysis
Point mutations to test structure-function hypotheses
CRISPR activation/inhibition:
CRISPRa to upregulate endogenous expression
CRISPRi to repress expression
Multiplexed approaches to study pathway interactions
Timed activation/inhibition for developmental studies
Screening applications:
Genome-wide screens for GPR150 function modulators
Focused library screens targeting GPCR pathways
Synthetic lethality screens in GPR150-expressing cells
Combinatorial screens for pathway mapping
Careful design of guide RNAs, appropriate control selections, and thorough validation are essential for successful CRISPR-based studies.
Computational methods provide valuable insights when experimental data is limited:
Homology modeling approaches:
Template selection from structurally resolved Class A GPCRs
Model refinement through energy minimization
Validation through Ramachandran plots and quality metrics
Integration of experimental constraints when available
Molecular dynamics simulations:
Receptor behavior in membrane environment
Identification of potential binding pockets
Water and ion pathway analysis
Conformational changes during activation
Virtual screening applications:
Docking of compound libraries to identify potential ligands
Pharmacophore modeling based on related receptors
Fragment-based approaches for binding site mapping
Machine learning integration for improved predictions
Network analysis:
Prediction of protein-protein interactions
Pathway integration and cross-talk analysis
Evolutionary analysis to identify conserved features
Gene co-expression networks to suggest functions
These computational approaches should be iteratively refined as experimental data becomes available, creating a feedback loop between prediction and validation.
Developing selective modulators for orphan receptors requires systematic approaches:
Screening strategies:
High-throughput functional assays:
G protein activation assays
β-arrestin recruitment
Receptor internalization
Fragment-based screening
DNA-encoded library screening
Computational virtual screening
Structure-guided design:
Homology model-based ligand design
Pharmacophore development
Fragment growing and linking strategies
Allosteric modulator development
Tool compound development:
Photoaffinity probes for binding site identification
Fluorescent ligands for binding studies
Radiolabeled compounds for binding assays
Biotinylated compounds for pull-down studies
Selectivity profiling:
Counter-screening against related GPCRs
Broad off-target screening
In vitro safety profiling
Biased signaling characterization
The G protein coupling profile is particularly important for assay development, as demonstrated by the GPR15 studies showing preferential Gi/o coupling .
Single-cell technologies provide unprecedented resolution for receptor studies:
Single-cell transcriptomics:
Identification of GPR150-expressing cell populations
Correlation with other signaling components
Developmental trajectory analysis
Disease-associated expression changes
Spatial transcriptomics:
Tissue localization with cellular resolution
Microenvironment analysis
Cell-cell interaction mapping
Correlation with functional tissue domains
Single-cell proteomics:
Protein-level confirmation of expression
Post-translational modification analysis
Signaling pathway activation states
Correlation with functional readouts
Single-cell functional assays:
Calcium imaging in primary cells
Single-cell BRET/FRET for signaling
Electrophysiological recordings
Secretion analysis from individual cells
Integration of these approaches provides a comprehensive understanding of GPR150 biology in physiologically relevant contexts.
Assessing GPR150 as a therapeutic target requires systematic evaluation:
Target validation criteria:
Genetic evidence from human studies
Expression correlation with disease states
Functional evidence from model systems
Druggability assessment
Disease relevance assessment:
Expression in disease-relevant tissues
Pathway involvement in pathological processes
Genetic association studies
Phenotypic effects of modulation
Safety considerations:
Expression in critical tissues (brain, heart)
Developmental roles
Potential for on-target adverse effects
Redundancy with related receptors
Therapeutic modality selection:
Small molecule feasibility
Antibody accessibility
Peptide agonist/antagonist potential
Biased ligand opportunities
The high proportion of successful GPCR-targeted drugs (approximately 35% of all approved drugs target GPCRs) suggests that orphan GPCRs like GPR150 may represent valuable untapped therapeutic opportunities.
Emerging technologies present new opportunities for orphan GPCR research:
Advanced screening approaches:
DNA-encoded chemical libraries
CRISPR activation/inhibition screens
Spatial transcriptomics integration
Artificial intelligence-driven virtual screening
Novel biosensor technologies:
GPCR conformation-specific sensors
Nanobody-based biosensors
Genetically encoded indicators for G protein subtypes
Single-molecule tracking in native environments
Innovative structural biology methods:
Cryo-EM advances for membrane proteins
Integration of AlphaFold predictions
Mass photometry for native complex analysis
Hydrogen-deuterium exchange mass spectrometry
Systems biology integration:
Multi-omics data integration
Network pharmacology approaches
In silico modeling of GPCR signaling networks
Patient-derived models for translational insights
These technologies, when applied systematically, significantly increase the probability of successful deorphanization and functional characterization.
Determining physiological functions requires complementary approaches:
Genetic models:
Knockout mouse generation
Conditional and inducible knockout systems
Tissue-specific overexpression models
Humanized mouse models
Phenotypic characterization:
Comprehensive phenotyping protocols
Metabolic assessment
Behavioral testing if expressed in CNS
Immune function if expressed in immune cells
Developmental analysis
Multi-system analysis:
Transcriptomic profiling of knockout tissues
Metabolomic analysis
Signaling pathway investigation
Interactome mapping
Human genetic correlation:
Analysis of GPR150 variants in population databases
Correlation with phenotypic traits
Investigation in relevant patient cohorts
Functional characterization of identified variants
Integrating data from these approaches provides a comprehensive understanding of GPR150's physiological significance and potential as a therapeutic target.