HRP-conjugated OPN3 antibodies are polyclonal or monoclonal antibodies chemically linked to the enzyme horseradish peroxidase. This conjugation enables chromogenic or chemiluminescent detection of OPN3 in assays such as ELISA, Western blotting (WB), and immunohistochemistry (IHC). HRP catalyzes reactions with substrates like 3,3'-diaminobenzidine (DAB) or 3,3',5,5'-tetramethylbenzidine (TMB), producing detectable signals proportional to OPN3 levels .
HRP-conjugated OPN3 antibodies facilitate quantitative and qualitative analyses in multiple studies:
MC1R Complex Formation: Anti-OPN3 antibodies (unconjugated) were used in co-immunoprecipitation (Co-IP) assays to demonstrate OPN3-MC1R complex formation in melanocytes. HRP-conjugated secondary antibodies enabled visualization via Western blot .
Colocalization: Immunofluorescence (IF) paired with HRP-based tyramide signal amplification confirmed OPN3-MC1R colocalization in intracellular compartments .
Melanogenesis Regulation: OPN3 knockdown via siRNA reduced melanin synthesis in human epidermal melanocytes (HEMs), validated using WB with HRP-conjugated antibodies .
Cancer Metastasis: High OPN3 expression in lung adenocarcinoma correlated with epithelial-mesenchymal transition (EMT), assessed via IHC using HRP-linked detection .
Specificity: Antibodies showed >50% colocalization with epitope-tagged OPN3 in HeLa cells .
Sensitivity: Detected endogenous OPN3 at concentrations as low as 1:500 dilution in WB .
Western Blot: Antibodies detected OPN3 in lysates from HEMs, HeLa cells, and lung adenocarcinoma lines (A549, HCC827) .
ELISA: Linear detection range of 0.1–10 ng/mL for recombinant OPN3 .
Cross-Reactivity: Validated for human and mouse OPN3; no cross-reactivity with EP2 receptor .
| Supplier | Product Code | Price (USD) |
|---|---|---|
| Cusabio | CSB-PA872435LB01HU | $166 |
| Leading Biology | APR22382N | $271 |
HRP-conjugated OPN3 antibodies have advanced understanding of:
Skin Pigmentation: OPN3 modulates MC1R signaling, reducing cAMP and melanin production .
Cancer Biology: OPN3 promotes EMT in lung adenocarcinoma, linked to poor patient prognosis .
Apoptosis: OPN3 knockdown induces melanocyte apoptosis, highlighting its survival role .
OPN3 (Opsin 3) is a member of the G protein-coupled receptor superfamily classified as a photoreceptive non-visual opsin. It is strongly expressed in brain and testis, with weaker expression detected in liver, placenta, heart, lung, skeletal muscle, kidney, and pancreas . OPN3 antibodies are essential tools for characterizing protein expression patterns, subcellular localization, and potential functions in various tissues. The development of specific antibodies has been particularly crucial for neuroscience research, where traditional methods have faced challenges in detecting this protein in complex neural tissues .
HRP conjugation provides distinct advantages for OPN3 detection:
| Feature | Benefit |
|---|---|
| Direct enzymatic detection | Eliminates need for secondary antibodies |
| Signal amplification | Enhances sensitivity for low-abundance proteins |
| Multiple substrate compatibility | Allows colorimetric, chemiluminescent or fluorescent detection |
| Stability | Extended shelf-life compared to fluorescent conjugates |
This conjugation approach is particularly valuable for detecting OPN3, which may be expressed at relatively low levels in certain tissues . The HRP enzyme catalyzes reactions with substrates to generate detectable signals, making it ideal for applications requiring high sensitivity.
Based on the literature, OPN3 shows distinct expression patterns across multiple tissues:
Brain: Particularly in distinct layers of the cerebral cortex, hippocampal formation, and thalamic nuclei
Other tissues: Liver, placenta, heart, lung, skeletal muscle, kidney, and pancreas (with weaker expression)
Cell types: Both neuronal (including GABAergic neurons) and non-neuronal cells
The OPN3-mCherry knock-in mouse model has revealed previously undocumented brain subregions expressing OPN3, highlighting how antibody-based approaches can validate and expand upon these findings in different species and experimental contexts .
Multiple antibodies targeting different regions of OPN3 can provide more comprehensive insights:
Using antibodies targeting different epitopes provides complementary information about protein conformation, processing, and interactions. For instance, if a C-terminal antibody fails to detect OPN3 while a middle-region antibody shows positive staining, this might indicate C-terminal processing or masking due to protein-protein interactions .
The development of the OPN3-mCherry knock-in mouse model has revealed important insights:
The model was specifically created to overcome limitations of antibody-based detection, suggesting challenges with traditional immunodetection methods for OPN3
This genetic approach revealed OPN3 expression in:
The reporter model provides advantages for developmental studies as OPN3 has been shown to be developmentally regulated in the brain
The fusion protein approach allows for native promoter control and endogenous expression levels, providing a more physiologically relevant view than conventional antibody-based approaches
This comparison highlights how complementary approaches (antibody-based and genetic reporters) can provide a more complete understanding of OPN3 biology.
Based on the available data, optimal dilutions vary by application and specific antibody:
For HRP-conjugated antibodies specifically (like ABIN7162242), manufacturers note that "optimal working dilution should be determined by the investigator" . This highlights the importance of titration experiments to determine the optimal signal-to-noise ratio for each specific experimental context.
Essential controls for validating OPN3-HRP antibody specificity include:
Genetic controls: Tissues from OPN3 knockout or knockdown models represent the gold standard negative control. The OPN3-mCherry knock-in mouse could serve as both a positive control and reference for expression patterns
Peptide competition: Pre-incubation of the antibody with the immunizing peptide (described as "a synthetic peptide corresponding to a sequence within amino acids 300-400 of human OPN3") should abolish specific staining
Cross-validation: Compare results with multiple antibodies targeting different OPN3 epitopes (AA 313-402, AA 300-400, AA 161-210)
Molecular weight verification: Western blots should detect bands at the expected molecular weight (listed as "35kDa/44kDa"), with the variation potentially reflecting glycosylation or other post-translational modifications
To optimize specificity when working with OPN3-HRP antibodies:
Buffer composition: Consider the preservation buffers used for commercial antibodies:
Antibody selection: Choose antibodies with demonstrated specificity. Several OPN3 antibodies are described as ">95%, Protein G purified" or "affinity purification"
Washing protocols: Increase wash duration or detergent concentration (Tween-20) to reduce background without compromising specific signals
Antibody titration: As indicated in the technical information, use recommended dilutions (1:500-1:2000 for Western blot) and optimize through titration experiments
Blocking optimization: Use appropriate blocking solutions (typically 5% BSA or milk in TBST) matched to the antibody type
The search results indicate varying cross-reactivity profiles:
When interpreting variable cross-reactivity:
Sequence homology: OPN3 sequence conservation at epitope regions determines cross-reactivity potential. Different regions may have different degrees of conservation across species.
Epitope-specific considerations: Antibodies targeting different regions (AA 313-402, AA 300-400, AA 161-210) will show different cross-reactivity patterns based on conservation of these specific sequences
Validation requirements: Species-specific validation is essential, particularly for studies examining subtle differences in expression patterns or levels
Discrepancies between OPN3 protein detection by antibodies and other methods (mRNA expression, reporter models) may arise from several factors:
Technical sensitivity differences: Detection methods for mRNA (e.g., in situ hybridization, RT-PCR) and protein (immunohistochemistry, Western blotting) have different sensitivity thresholds
Developmental regulation: The search results note that "OPN3 has been shown to be developmentally regulated, at least in the brain" . Temporal dynamics may result in mRNA expression preceding detectable protein accumulation
Antibody limitations: As acknowledged in the research, "there had been a significant lack of encephalic opsin 3 (OPN3) protein characterization, likely driven by the absence of murine OPN3 antibodies"
Post-translational regulation: OPN3 may undergo modifications that affect antibody recognition but not genetic reporter detection
The OPN3-mCherry knock-in mouse model offers a valuable tool for resolving such discrepancies by allowing direct visualization of the OPN3 protein under native promoter control .
Several quantitative methods are appropriate for analyzing OPN3 expression:
Western blot densitometry: Semi-quantitative analysis of band intensity normalized to loading controls. Appropriate for comparing OPN3 levels across samples or conditions.
ELISA quantification: Several OPN3 antibodies are validated for ELISA applications, allowing standard curve-based quantification for absolute protein determination
Immunohistochemistry image analysis:
Cell counting: Percentage of OPN3-positive cells in defined regions
Optical density measurements: For DAB-based detection systems
Threshold-based area measurements: Percentage of tissue area showing OPN3 immunoreactivity
Subcellular quantification: Given the "punctate subcellular localization in the soma" described for OPN3, quantifying puncta size, number, and intensity may provide insights into OPN3 regulation
To establish meaningful correlations between OPN3 expression and function:
Cell type-specific analysis: The research indicates OPN3 expression in "GABAergic neurons and non-neuronal cells" . Co-labeling strategies can correlate OPN3 expression with functional markers of specific neuronal subtypes.
Circuit-level analysis: The detailed expression map in "distinct layers of the cerebral cortex, the hippocampal formation, distinct nuclei of the thalamus" provides anatomical context for circuit-level functional studies
Light sensitivity assays: As a non-visual opsin, OPN3 may mediate light responses. Photostimulation protocols can be correlated with OPN3 expression patterns.
Comparative approaches: The OPN3-mCherry knock-in mouse model enables direct comparison between:
Developmental correlation: Given that "OPN3 has been shown to be developmentally regulated," researchers can correlate developmental expression patterns with the emergence of specific functional properties
Emerging research directions for OPN3-HRP antibodies include:
Extracellular vesicle (EV) studies: Detecting OPN3 in EVs could reveal new intercellular signaling mechanisms
Live tissue imaging: Developing cell-permeable HRP substrates compatible with OPN3-HRP antibodies for dynamic studies
Proximity labeling: Using HRP-conjugated OPN3 antibodies for proximity-dependent biotinylation to identify OPN3 interaction partners
Pathology correlations: Examining OPN3 expression changes in neurological disorders, potentially as a biomarker
Comparative physiology: The varying species reactivity profiles of different OPN3 antibodies enable evolutionary studies across species
Several technological advances could enhance OPN3 detection in the near future:
Single-molecule detection systems that reduce the required amount of antibody while increasing sensitivity
Multiplexed detection platforms combining OPN3-HRP antibodies with other cellular markers for comprehensive phenotyping
Microfluidic-based automated immunoassays for high-throughput screening of OPN3 expression in patient samples or model systems
Advanced tissue clearing methods compatible with HRP-based detection to enable whole-organ imaging of OPN3 expression patterns
Computational approaches for integrating antibody-based detection with data from genetic reporters like the OPN3-mCherry model to build comprehensive expression atlases