| Source | Catalog # | Expression System | Purity | Applications |
|---|---|---|---|---|
| MyBioSource | MBS7028223 | Cell-free | >97% | WB, ELISA, Immunogen |
| Antibodies-Online | ABIN7407487 | E. coli | >97% | WB, SDS-PAGE, Immunogen |
Recombinant PTGIR retains native receptor functionality, including:
Signaling Pathways:
Ligand Binding: Binds prostacyclin (PGI₂) and synthetic agonists like taprostene with nanomolar affinity .
Glucocorticoid Synergy: Taprostene (IP agonist) enhances dexamethasone-induced anti-inflammatory gene expression (e.g., GILZ, MKP-1) in airway epithelial cells via cAMP/PKA pathways .
Mutagenesis Studies:
Recombinant PTGIR is widely used in:
Drug Development: Screening IP agonists/antagonists for cardiovascular therapies .
Mechanistic Studies: Resolving signaling crosstalk between cAMP, PKA, and MAPK pathways .
Diagnostics: Detecting PTGIR autoantibodies in chronic renal failure sera .
The Prostacyclin receptor (PTGIR) is a member of the G protein-coupled receptor family 1 that serves as the receptor for prostacyclin (prostaglandin I2 or PGI2) . PTGIR couples to Gαs proteins and, upon activation by its ligand PGI2, stimulates adenylate cyclase to convert GTP into cyclic AMP (cAMP) . This receptor plays critical roles in multiple physiological systems, particularly in vascular tissues where it mediates vasodilation and inhibits platelet aggregation . PTGIR is expressed in vascular endothelium, platelets, and various immune cells, with expression levels varying significantly across tissue types.
PTGIR signaling primarily operates through a Gαs-coupled pathway that activates adenylyl cyclase, leading to cAMP production and subsequent protein kinase A (PKA) activation . This activation cascade stimulates the activity of multiple transcription factors including CtBP1, SPI1, and STAT3 through phosphorylation mechanisms . Notably, PTGIR signaling has been demonstrated to control the expression of S100A8 and S100A9 genes, which encode the two subunits of calprotectin (CP) . This regulatory pathway appears to be dependent on adenylate cyclase and STAT3 signaling, linking prostaglandin signaling to inflammatory responses.
PTGIR modulates several critical physiological functions:
Cardiovascular regulation: Mediates vasodilation and inhibits platelet aggregation, contributing to vascular homeostasis
Nociception: Participates in pain perception pathways, particularly in inflammatory contexts
Inflammation: Regulates inflammatory processes through its effects on immune cell function and inflammatory mediator production
Gene expression: Controls the expression of inflammatory proteins, particularly calprotectin, through cAMP-dependent transcriptional regulation
The diverse functions of PTGIR make it a compelling target for research across multiple disease areas, particularly in conditions with inflammatory or vascular components.
Two structurally distinct series of selective IP receptor antagonists have been developed for research applications: RO1138452 and RO3244794 . These compounds display different pharmacological profiles while both maintaining high affinity for the IP receptor.
| Property | RO1138452 | RO3244794 |
|---|---|---|
| Chemical class | 4,5-dihydro-1H-imidazol-2-yl derivative | Benzofuran derivative |
| Receptor affinity (human platelets, pKi) | 9.3±0.1 | 7.7±0.03 |
| Receptor affinity (recombinant system, pKi) | 8.7±0.06 | 6.9±0.1 |
| Functional antagonism (pKi) | 9.0±0.06 | 8.5±0.11 |
| Selectivity profile | Cross-reactivity with I2 (8.3) and PAF (7.9) receptors | Highly selective for IP receptor |
| Cross-reactivity with other prostanoid receptors | Not specified | EP1(<5), EP3(5.38), EP4(5.74), TP(5.09) |
Both antagonists have demonstrated efficacy in reducing pain responses in experimental models, including acetic acid-induced abdominal constrictions and carrageenan-induced mechanical hyperalgesia and edema formation . RO3244794 additionally reduced chronic joint discomfort in models of monoiodoacetate-induced arthritis . The higher selectivity of RO3244794 makes it particularly valuable for studies requiring minimal off-target effects.
Recent functional genomics research has established a direct link between PTGIR signaling and the expression of calprotectin, an important inflammatory biomarker . Specifically:
Increasing PTGIR expression or stimulating PTGIR signaling with agonists like Beraprost significantly upregulates S100A8 and S100A9 gene expression (fold change = 6.25 and 6.85 respectively, p < 0.001)
Conversely, knockdown of PTGIR or treatment with the antagonist RO1138452 decreases S100A8 and S100A9 expression (fold change = 0.46 and 0.48 respectively, p < 0.01)
This regulatory pathway operates through adenylyl cyclase and requires STAT3 signaling
These findings have significant implications for inflammatory disease research, particularly for inflammatory bowel disease (IBD), where PTGIR, PTGER4, and calprotectin have all been implicated through genome-wide association studies (GWAS) . The established mechanistic link provides potential new therapeutic targets for modulating calprotectin levels, which serve as both biomarkers and mediators of inflammatory conditions.
Rare loss-of-function (LoF) mutations in PTGIR have been found to be enriched in patients with non-atherosclerotic arterial diseases, particularly fibromuscular dysplasia (FMD) and spontaneous coronary artery dissection (SCAD) . These conditions primarily affect middle-aged women and have previously had poorly understood pathophysiological mechanisms.
Through sequencing studies involving:
1071 unrelated FMD patients
363 SCAD patients
Comparison with gnomAD v3 database (>30,000 individuals of European ancestry)
Researchers have identified a significant enrichment of rare PTGIR LoF variants in these patient populations, suggesting causal relationships between PTGIR dysfunction and these vascular pathologies. This connection provides new insights into the molecular mechanisms underlying these conditions and suggests potential therapeutic interventions targeting prostacyclin signaling pathways.
When studying PTGIR binding and function, researchers should consider multiple complementary approaches:
For binding affinity measurements:
Human platelets provide a physiologically relevant system, with antagonist binding studies using RO1138452 and RO3244794 yielding pKi values of 9.3±0.1 and 7.7±0.03 respectively
Recombinant expression systems using cell lines like CHO-K1 offer a controlled environment for binding studies, though affinity values may differ from native tissues (pKi values of 8.7±0.06 and 6.9±0.1 for the same compounds)
For functional assays:
cAMP accumulation measurements in cells expressing human IP receptor (such as CHO-K1) provide direct assessment of receptor signaling, with functional antagonism showing pKi values of 9.0±0.06 and 8.5±0.11 for RO1138452 and RO3244794
Validation with multiple agonists (such as carbaprostacyclin or Beraprost) and antagonists provides more robust functional characterization
Researchers should include appropriate positive and negative controls and consider the impact of receptor expression levels on apparent potency values.
Based on recent research demonstrating PTGIR's role in regulating calprotectin expression, several effective experimental approaches can be implemented:
Genetic modulation of PTGIR expression:
Pharmacological manipulation:
Treatment with PTGIR agonist Beraprost induced S100A8/A9 expression (fold change 6.25-6.85, p < 0.001)
Treatment with antagonist RO1138452 decreased expression (fold change 0.46-0.48, p < 0.01)
Combination of genetic modulation and pharmacological treatments provides the most comprehensive assessment
Protein quantification:
Pathway analysis:
These multi-modal approaches provide complementary data for robust characterization of PTGIR's gene regulatory functions.
When investigating PTGIR genetic variants, particularly in disease contexts like FMD and SCAD, researchers should implement rigorous methodological approaches:
Sequencing methodology:
Control population selection:
Variant classification:
Functional validation:
Expression of identified variants in appropriate cell systems
Assessment of signaling capacity through cAMP accumulation and downstream target gene expression
Protein stability and trafficking analysis for missense variants
These approaches ensure rigorous identification and characterization of disease-relevant PTGIR variants.
Current research is investigating the complex interplay between PTGIR and other prostanoid receptors, particularly PTGER4 (EP4). Both receptors have been implicated in inflammatory signaling and calprotectin regulation . Some key research findings and future directions include:
PTGER4-specific agonists, like PTGIR agonists, increase calprotectin expression, suggesting convergent signaling pathways
Both receptors utilize adenylyl cyclase and STAT3 signaling, raising questions about pathway cross-talk and synergy
The distinct roles of these receptors in different cell types and inflammatory contexts remains incompletely understood
Future research should investigate:
Temporal dynamics of receptor activation in inflammatory responses
Cell-type specific signaling differences
Compensatory mechanisms when either receptor is genetically or pharmacologically inhibited
Potential for combined modulation as therapeutic approaches
Understanding these complex signaling networks will provide more precise targets for anti-inflammatory therapeutics.
Several cutting-edge technologies hold promise for advancing PTGIR research:
CRISPR-Cas9 gene editing:
Generation of cell lines with precise PTGIR mutations identified in vascular disorders
Creation of isogenic lines for controlled comparison of variant effects
Development of animal models with human PTGIR variants
Single-cell transcriptomics:
Characterization of cell-specific PTGIR expression and signaling responses
Identification of heterogeneous responses within seemingly uniform cell populations
Mapping of PTGIR signaling networks across diverse tissue contexts
Cryo-electron microscopy:
Determination of PTGIR structure in complex with agonists, antagonists, and G proteins
Insights into conformational changes during receptor activation
Structure-based design of more selective modulators
Patient-derived iPSCs:
Generation of vascular cells from patients with PTGIR mutations
Functional characterization in disease-relevant cell types
Platform for personalized therapeutic screening
These technological approaches will enable more precise understanding of PTGIR biology and accelerate therapeutic development.
Based on current understanding of PTGIR function and disease associations, several promising translational directions are emerging:
Vascular disease biomarkers:
Anti-inflammatory therapeutics:
Pain management:
Cardiovascular protection:
Exploration of PTGIR agonists for prevention of platelet aggregation and thrombosis
Tissue-specific targeting to minimize unwanted effects
Genetic risk stratification to identify patients most likely to benefit
These translational approaches represent the frontier of PTGIR research and highlight the clinical potential of targeting this receptor system.