Target: OR2J3 (Olfactory Receptor 2J3), a G-protein-coupled receptor (GPCR) involved in odorant signal transduction .
Host Species: Rabbit (polyclonal antibody) .
Applications:
Immunogen: Synthesized peptide derived from the internal region of human OR2J3 .
Specificity: Confirmed via Western blotting and immunocytochemistry, showing a single band at ~40 kDa (matching OR2J3’s molecular weight) and localization to the cell membrane/cytoplasm .
Cross-reactivity: No reported cross-reactivity with other olfactory receptors (e.g., OR2W3, OR1J1) .
OR2J3 expression and activation have been studied in cancer models:
OR2J3 is expressed in neuroendocrine tumor cell lines (e.g., QGP-1) and localizes to the membrane and cytoplasm .
Validated via immunocytochemistry using OR2J3-specific antibodies .
OR2J3 (Olfactory Receptor 2J3) is one of approximately 400 intact odorant receptors in humans that belongs to the G protein-coupled receptor superfamily. Unlike most olfactory receptors that increase intracellular calcium when activated, OR2J3 stimulation causes a decrease in intracellular Ca²⁺ levels, mediated through a cGMP-dependent protein kinase (PKG) pathway . This receptor has been identified as responsive to specific odorants, most notably helional and cis-3-hexen-1-ol . Functionally, OR2J3 demonstrates considerable genetic variability across human populations, with specific variants (particularly those containing T113A and R226Q amino acid substitutions) showing impaired ability to respond to cis-3-hexen-1-ol . These genetic variations can explain up to 26.4% of the variation in cis-3-hexen-1-ol detection thresholds among individuals .
Based on the available data, OR2J3 antibodies have been successfully employed in multiple research applications including:
Enzyme-Linked Immunosorbent Assay (ELISA): Typically using dilutions of 1/20000
Immunofluorescence/Immunocytochemistry (IF/ICC): Optimal dilutions ranging from 1/100 to 1/500
Western blotting: Successfully used at 1:250 dilution for detecting OR2J3 protein (~40 kDa)
These applications have proven effective for detecting endogenous levels of total OR2J3 protein in various cell types. For immunocytochemistry protocols, researchers typically fix cells with ice-cold acetone for 5 minutes, block nonspecific binding with 1% cold-water fish gelatin in TBS with 0.05% Triton X-100, followed by incubation with the primary OR2J3 antibody . For Western blotting, the protocol typically involves loading samples onto SDS gels, blotting to nitrocellulose membranes, blocking with 50% casein in TBS, and detection using HRP-coupled secondary antibodies .
Commercial OR2J3 antibodies typically share the following specifications:
| Parameter | Specification |
|---|---|
| Target | Olfactory Receptor 2J3 (OR2J3) |
| Clonality | Polyclonal |
| Reactivity | Human |
| Host | Rabbit |
| Isotype | IgG |
| Form | Liquid |
| Purification Method | Affinity chromatography using epitope-specific immunogen |
| Storage Conditions | Aliquot and store at -20°C, avoid repeated freeze/thaw cycles |
| Buffer Composition | PBS (without Mg²⁺ and Ca²⁺), pH 7.4, 150 mM NaCl, 0.02% sodium azide, 50% glycerol |
| Specificity | Detects endogenous levels of total OR2J3 protein |
| Concentration | 1 mg/ml |
The immunogen typically consists of a synthesized peptide derived from the internal region of human OR2J3 .
Validating OR2J3 antibody specificity in non-olfactory tissues requires a multi-faceted approach to confirm true expression rather than non-specific binding. Based on published methodologies, the following validation strategy is recommended:
Multi-level expression confirmation: Begin with RT-PCR to verify expression at the mRNA level before proceeding to protein detection. Design specific primers for OR2J3 (and related receptors if investigating specificity against similar ORs). For example, in QGP-1 cells, researchers detected transcripts for OR2J3 but not for related receptors OR1A2 and OR3A1, confirming specificity .
Complementary protein detection methods: Use at least two independent methods such as Western blotting and immunocytochemistry. For Western blotting, a single band at approximately 40 kDa indicates specific OR2J3 detection, with β-actin (also ~40 kDa) serving as a loading control . For immunocytochemistry, include appropriate controls such as secondary antibody-only controls to rule out non-specific binding .
Functional validation: Confirm functional expression through physiological responses to known OR2J3 agonists. For instance, OR2J3-expressing cells should demonstrate specific responses (e.g., decreased intracellular Ca²⁺) when exposed to helional in dose-dependent manner .
Knockdown verification: Where possible, implement siRNA knockdown of OR2J3 and demonstrate corresponding reduction in antibody signal to further confirm specificity.
This multi-layered approach provides robust validation of OR2J3 antibody specificity in non-canonical tissues.
Genetic variations in OR2J3 present significant considerations for antibody selection and experimental design, particularly given the functional consequences of these variations:
Haplotype diversity consideration: The human OR2J3 gene contains at least 5 predicted haplotypes across populations, with specific amino acid substitutions (notably T113A and R226Q) that impair receptor function . Researchers should determine whether their antibody's epitope encompasses regions containing common variants, as this could affect recognition efficiency.
Population-specific experimental design: Since approximately 26.4% of variation in cis-3-hexen-1-ol detection is explained by OR2J3 haplotypes , researchers studying olfactory function should consider genotyping study participants when selecting cellular models or donor samples. This is particularly important for experiments examining OR2J3 function across diverse populations.
Epitope mapping requirements: Due to the functionally significant variations in the coding sequence, researchers should preferentially select antibodies with well-characterized epitopes that target conserved regions of the protein. Alternatively, when studying specific variants, custom antibodies targeting variant-specific epitopes may be necessary.
Functional verification across variants: When analyzing OR2J3 protein expression in heterogeneous populations, researchers should verify antibody recognition across multiple protein variants using recombinant expression systems with known OR2J3 haplotypes to ensure consistent detection regardless of genetic background.
These considerations are particularly important for studies examining olfactory perception variation or when using OR2J3 as a biomarker in diverse populations.
To investigate OR2J3-mediated signaling in non-olfactory tissues, specialized methodological approaches are required that account for the unique signaling properties of this receptor:
Calcium imaging protocols: Unlike most olfactory receptors that induce calcium increases, OR2J3 activation causes a transient decrease in intracellular Ca²⁺ levels. Ratiofluorometric Ca²⁺ imaging using dual-wavelength indicators (e.g., Fura-2 with f340/f380 ratio measurement) is recommended to accurately capture this distinctive response . When stimulating with helional, dose-dependent decreases in the f340/f380 ratio should be observed (e.g., 100 μM: −0.020 ± 0.010; 300 μM: −0.036 ± 0.018; 800 μM: −0.063) .
PKG pathway investigation: Since OR2J3 mediates its effects through protein kinase G, experiments should incorporate specific PKG inhibitors (e.g., Rp-8-pCPT-cGMPS) to verify signaling pathway involvement. Complementary approaches should include direct PKG activators (e.g., 8-bromo-cGMP) as positive controls for downstream effects .
Functional secretion assays: For tissues where OR2J3 may regulate secretory functions (e.g., serotonin release from enteroendocrine cells), researchers should implement quantitative secretion assays. For instance, in QGP-1 cells, helional stimulation induces dose-dependent serotonin release comparable to that induced by direct PKG activation .
Cell surface expression verification: To distinguish between functional and non-functional OR2J3 expression, fluorescence-activated cell sorting (FACS) analysis can be implemented using protocols established for olfactory receptors. This involves transfection with Rho-tagged OR2J3, immunostaining with anti-rhodopsin antibodies (e.g., 4D2), and analysis of cell surface expression using flow cytometry .
This integrated approach enables comprehensive characterization of OR2J3 signaling in non-canonical tissues while accounting for its unique signaling properties.
Optimizing immunocytochemistry protocols for OR2J3 detection requires specific considerations given the complex membrane protein nature of this receptor:
These optimizations allow for robust detection of OR2J3 across diverse cell types while maximizing signal specificity and sensitivity.
The literature contains some apparently contradictory findings regarding OR2J3 function and expression that require careful methodological approaches to reconcile:
Integrated multi-omics approach: Combine transcriptomic (RNA-seq), proteomic (mass spectrometry), and functional data to comprehensively characterize OR2J3 expression and function. This approach can help resolve discrepancies between mRNA detection and functional protein expression. For instance, while OR2J3 transcripts may be detected in multiple tissues, functional expression should be confirmed through calcium imaging and ligand response assays .
Haplotype-specific functional analysis: Given that genetic variations can significantly impact OR2J3 function, researchers should explicitly determine which haplotype(s) they are studying. In vitro experiments should test all five major haplotypes and key individual amino acid substitutions (particularly T113A and R226Q) to account for functional differences between variants.
Signal transduction pathway verification: Unlike most ORs that increase intracellular calcium, OR2J3 causes calcium decrease through PKG . Researchers should verify the complete signaling pathway within their specific cellular context, as tissue-specific effector coupling may explain functional differences observed between studies.
Expression quantification standardization: To address conflicting reports of expression levels, implement absolute quantification methods such as digital PCR or targeted proteomics with isotope-labeled standards, rather than relying solely on relative quantification methods that may not be comparable across studies.
Cross-validation of antibody specificity: When conflicting expression patterns are reported, cross-validate findings using multiple antibodies targeting different epitopes of OR2J3, complemented by genetic approaches (e.g., CRISPR/Cas9 knockout controls) to confirm specificity of detection.
This systematic approach can help reconcile apparently contradictory findings and contribute to a more unified understanding of OR2J3 biology across different cellular contexts.
Based on published methodologies, the following optimized protocol is recommended for Western blotting applications with OR2J3 antibodies:
Sample preparation: Extract proteins using lysis buffer containing 20 mM MOPS, 2 mM EGTA, 5 mM EDTA, 30 mM sodium fluoride, 60 mM β-glycerophosphate, 20 mM sodium pyrophosphate, 1 mM sodium orthovanadate, 1% Triton X-100, and protease inhibitor cocktail .
Protein quantification and loading: Determine protein concentrations using a BCA assay. Load 30-50 μg of total protein per well onto 10-12% SDS-PAGE gels, as OR2J3 has an expected molecular weight of approximately 40 kDa .
Electrophoresis and transfer: Perform electrophoresis at 120V for 90 minutes, followed by transfer to nitrocellulose membranes at 100V for 60 minutes or 30V overnight at 4°C.
Blocking: Block membranes in 50% casein (50% TBS buffer and 50% casein in TBS) for 1 hour at room temperature . This blocking solution has been specifically effective for OR2J3 detection.
Primary antibody incubation: Dilute OR2J3 antibody (polyclonal) to 1:250 in 75% TBS buffer and 25% casein . Incubate overnight at 4°C with gentle agitation.
Secondary antibody incubation: After washing (3 × 10 minutes in TBS-T), incubate with HRP-coupled secondary antibody (goat anti-rabbit) diluted 1:2000-1:5000 in blocking buffer for 1 hour at room temperature .
Detection: Visualize using enhanced chemiluminescence (ECL) reagents. For OR2J3, expect a specific band at approximately 40 kDa .
Controls: Always include β-actin (rabbit polyclonal, 1:1000) as a loading control . Consider including a positive control (cells/tissues with confirmed OR2J3 expression) and negative control (OR2J3-null cells or tissues) when available.
This optimized protocol has been validated for detecting endogenous levels of OR2J3 protein in various cell types including QGP-1 cells.
To comprehensively investigate the functional implications of OR2J3 genetic variants, researchers should implement the following experimental design strategy:
Haplotype identification and cloning: Beginning with the 5 major OR2J3 haplotypes identified in population studies , clone each variant into an expression vector with an epitope tag (e.g., Rho-tag) to enable surface expression monitoring. Additionally, generate constructs with individual amino acid substitutions (particularly T113A and R226Q) to isolate their specific effects .
Heterologous expression system optimization: Transfect constructs into Hana3A cells, an HEK293T-derived cell line optimized for odorant receptor expression . Co-transfect with accessory factors like RTP1S to facilitate proper membrane trafficking. Confirm surface expression using FACS analysis with the following protocol:
Dose-response functional characterization: Subject each variant to dose-response studies with known OR2J3 agonists (helional and cis-3-hexen-1-ol). Typical concentration ranges should span from 10⁻⁶ to 10⁻³ M. Quantify responses using luciferase assay normalized to reference allele response .
Structure-function relationship analysis: Perform in silico structural modeling of OR2J3 variants to predict how specific amino acid changes (particularly T113A and R226Q) might affect ligand binding pocket geometry or G-protein coupling.
Physiological correlation studies: Correlate in vitro functional data with psychophysical measurements from human subjects of known OR2J3 genotype. This approach can validate that in vitro observations translate to actual perceptual differences, as demonstrated by the ~26.4% variation in cis-3-hexen-1-ol detection explained by OR2J3 haplotypes .
This comprehensive approach allows for detailed characterization of how genetic variation impacts OR2J3 function at molecular, cellular, and perceptual levels.
The discovery of OR2J3 expression in non-olfactory tissues, particularly enteroendocrine cells, opens several promising research directions where OR2J3 antibodies will play crucial roles:
Enteroendocrine chemosensing mechanisms: OR2J3 antibodies enable investigation of how dietary compounds like helional might regulate hormone secretion from enteroendocrine cells. Studies have already demonstrated that OR2J3 activation triggers serotonin release in QGP-1 cells , suggesting broader applications in gut chemosensing research.
Metabolic disorder biomarker development: Given the connection between enteroendocrine cell function and metabolic regulation, OR2J3 expression patterns (detected via antibody-based assays) could potentially serve as biomarkers for metabolic disorders or gastrointestinal dysfunction.
Nutritional chemosensing pathway mapping: Immunohistochemistry with OR2J3 antibodies can map the distribution of this receptor throughout the digestive tract, potentially revealing specialized chemosensory cells responsive to specific dietary compounds. This could advance understanding of how food components directly signal to the gastrointestinal system.
Cancer research applications: Since OR2J3 has been detected in pancreatic endocrine cell lines , antibody-based screening could evaluate its expression across various neuroendocrine tumors, potentially identifying diagnostic markers or therapeutic targets.
Drug delivery targeting: The specific expression pattern of OR2J3 in certain cell populations could be exploited for targeted drug delivery systems, with antibodies serving as validation tools to confirm target expression in preclinical models.
These emerging applications highlight the expanding relevance of OR2J3 beyond traditional olfactory research and underscore the importance of well-characterized antibodies for this receptor.
Recent advances in machine learning methodologies, particularly active learning strategies, offer promising approaches to improve antibody-antigen binding prediction for challenging targets like OR2J3:
Optimized library-on-library screening: Active learning algorithms can significantly improve the efficiency of experimental antibody binding data generation. Recent research demonstrates that novel active learning strategies can reduce the number of required antigen mutant variants by up to 35% while accelerating the learning process by 28 steps compared to random sampling . Applied to OR2J3, this approach could efficiently identify optimal antibody candidates from large libraries.
Out-of-distribution prediction enhancement: A key challenge in antibody development is predicting binding to novel variants not represented in training data—particularly relevant for OR2J3 given its genetic diversity. Advanced active learning strategies specifically designed for library-on-library settings have demonstrated superior out-of-distribution performance , which could improve prediction of antibody binding across diverse OR2J3 variants.
Integrated computational-experimental pipelines: By implementing iterative cycles where machine learning models guide experimental testing of antibody-OR2J3 binding, researchers can more rapidly converge on optimal antibody candidates while minimizing costly experimental work.
Epitope mapping optimization: Active learning approaches can guide the systematic exploration of epitope space across the OR2J3 protein, efficiently identifying immunogenic regions that maintain recognition across genetic variants and are accessible in native protein conformations.
Cross-reactivity minimization: For applications requiring highly specific OR2J3 detection without cross-reactivity to related olfactory receptors, active learning algorithms can help identify antibody candidates with maximal specificity by strategically exploring closely related antigens.
This integration of computational and experimental approaches promises to accelerate the development of improved OR2J3 antibodies with enhanced specificity, affinity, and consistency across genetic variants.