ADORA3 is a purinergic receptor that binds adenosine, modulating pathways in cerebral ischemia, inflammation, and cancer progression . It is expressed in the brain, heart, kidney, and immune cells, with elevated levels observed in tumors and autoimmune diseases .
Cerebral Ischemia: Anti-ADORA3 antibodies detected receptor upregulation in mouse models of chronic L-DOPA treatment, linking ADORA3 to dopamine-dependent neuroplasticity .
Neuroinflammation: ADORA3 staining in mouse brain sections revealed its role in modulating microglial activation .
Diagnostic Marker: Elevated ADORA3 levels in tumors correlate with poor prognosis. Antibodies like AAR-004 have been used to validate ADORA3 as a therapeutic target in preclinical models .
ADORA3 activation via antibodies demonstrated cardioprotective effects in ischemia-reperfusion injury models, reducing infarct size by 40% .
| Study | Method | Finding |
|---|---|---|
| Solis et al. (2017) | IHC (mouse brain) | DRD3/ADORA3 co-expression in L-DOPA-treated mice |
| Elgueta et al. (2019) | Flow cytometry | ADORA3 detection in CD4+ T-cells |
Specificity: AAR-004 was validated in ADORA3 knockout mice, showing no cross-reactivity with related adenosine receptors .
Limitations: Polyclonal antibodies may exhibit batch variability; epitope alignment checks are recommended for reproducibility.
ADORA3-targeting antibodies are being explored for:
ADO3 is a component of an SCF (Skp1-Cullin-F-box protein) E3 ubiquitin ligase complex crucial for blue light-dependent circadian rhythms. Its function as a blue light photoreceptor, enabled by its flavin mononucleotide (FMN) cofactor, mediates light-regulated protein degradation of key clock components via the proteasome. The SCF(ADO3) complex regulates circadian clock-dependent processes, including flowering time, hypocotyl elongation, and cotyledon and leaf movement rhythms. ADO3 forms a complex with GIGANTEA (GI) to control CONSTANS (CO) expression. During long-day light periods, it enhances CO expression by reducing CDF1 and CDF2 stability and directly interacting with and stabilizing CO. ADO3's function is largely dependent on GI and it does not regulate CDF1 transcription. Interactions between ADO1/ZTL and ADO2 with ADO3 prevent its interaction with CDF1.
Further Research on Related Genes:
DOK3 (Docking protein 3) is an enzymatically inert adaptor or scaffolding protein that provides a docking platform for the assembly of multimolecular signaling complexes. It functions as a negative regulator of JNK signaling in B-cells through interaction with INPP5D/SHIP1 and may modulate ABL1 function. These interactions inhibit excessive activation signals, allowing DOK3 to maintain immune system homeostasis and ensure proper immune function . As a member of the DOK protein family, it plays a crucial role in regulating immune responses by facilitating protein-protein interactions that modulate signaling cascades following receptor activation.
The DOK3 antibody (such as ab236609) has been validated for multiple laboratory applications, including Western Blotting (WB), Immunohistochemistry on paraffin-embedded sections (IHC-P), and Immunocytochemistry/Immunofluorescence (ICC/IF) . These diverse applications make it versatile for researchers investigating DOK3 protein expression and localization across different experimental contexts. The antibody has been successfully used to detect DOK3 in various tissue samples including heart, placenta, and tonsil tissue, demonstrating its utility across different biological systems .
Current DOK3 antibodies, such as the rabbit polyclonal antibody referenced in the search results, show confirmed reactivity with both mouse and human samples . This cross-species reactivity is particularly valuable for translational research that aims to correlate findings between animal models and human systems. When selecting a DOK3 antibody for research, it's important to verify species reactivity based on the specific experimental design and target tissue or cell type.
For Western blotting applications, DOK3 antibody should be used at a dilution of approximately 1/500. The documented protocol shows successful detection in mouse heart and placenta tissue lysates using this dilution . The predicted band size for DOK3 is approximately 53 kDa. For optimal results, secondary detection should use an anti-rabbit IgG (such as goat polyclonal to rabbit IgG) at an appropriate dilution (1/50000 has been successful in published protocols) . Standard Western blotting procedures including proper protein extraction, SDS-PAGE separation, and transfer to membrane should be followed, with blocking in appropriate blocking buffer before antibody incubation.
For immunohistochemistry on paraffin-embedded tissue sections, a dilution of 1/100 has been shown to be effective for DOK3 detection . The protocol should include proper deparaffinization, antigen retrieval (which may vary depending on tissue type), blocking of endogenous peroxidases and non-specific binding sites, followed by primary antibody incubation (DOK3 antibody), appropriate secondary antibody application, and visualization using a suitable detection system. Successful staining has been documented in human tonsil tissue using this approach . Optimization may be required for different tissue types or experimental conditions.
Antibody validation is a critical step to ensure experimental reliability. For DOK3 antibody, validation should include multiple complementary approaches:
Positive and negative control samples (tissues/cells known to express or not express DOK3)
Comparison with alternative antibodies targeting different epitopes of the same protein
Knockdown or knockout validation where feasible
Assessment of expected molecular weight in Western blot applications
Comparison of staining patterns with published literature
Similar to validation approaches used for other antibodies, researchers might consider using domain-specific constructs to verify binding specificity, as demonstrated in the anti-idiotypic antibody characterization described in the literature .
DOK3 antibody serves as a valuable tool for investigating the molecular mechanisms underlying immune system homeostasis. Researchers can design experiments to:
Assess DOK3 expression levels in various immune cell populations under different activation states
Investigate co-localization with binding partners like INPP5D/SHIP1 using dual immunofluorescence
Examine changes in DOK3 expression or localization in models of immune dysfunction
Study phosphorylation states of DOK3 following receptor activation
These approaches can help elucidate how DOK3 functions as a negative regulator of immune signaling cascades. The antibody can be used in combination with functional assays to correlate DOK3 expression or modification with changes in cellular responses to various stimuli.
DOK3 functions as a negative regulator of JNK signaling in B-cells through its interaction with INPP5D/SHIP1 . To investigate these pathways, researchers can employ DOK3 antibody in:
Immunoprecipitation experiments to pull down DOK3 and identify interaction partners
Phospho-specific Western blotting to track signaling cascade activation in the presence/absence of DOK3
Immunocytochemistry to monitor subcellular localization changes during B-cell activation
Flow cytometry to correlate DOK3 expression with B-cell maturation states or activation markers
These methodological approaches can reveal the spatiotemporal dynamics of DOK3 function within B-cell signaling networks and help identify novel regulatory mechanisms that maintain appropriate immune responses.
Recent advances in antibody discovery could significantly improve research antibodies, including those targeting DOK3. Vanderbilt University Medical Center's AI-based approach aims to democratize antibody discovery against any antigen target of interest . Similarly, microfluidics-enabled screening technologies allow for rapid monoclonal antibody discovery by compartmentalizing single antibody-secreting cells and selecting for specificity . These technologies could potentially:
Generate more specific DOK3 antibodies with reduced cross-reactivity
Create a panel of antibodies recognizing different epitopes for comprehensive protein analysis
Develop phospho-specific antibodies to track DOK3 activation states
Produce antibodies with improved sensitivity for detecting low-abundance DOK3 in specific cell types
As these technologies mature, researchers can expect higher quality antibody reagents that enable more precise investigation of DOK3 biology and function.
When working with DOK3 antibody, researchers may encounter several challenges:
Background signal: Optimize blocking conditions and antibody dilutions; consider using alternative blocking reagents specific to the tissue/cell type
Weak or absent signal: Verify protein expression in your sample; optimize antigen retrieval methods for IHC-P; adjust antibody concentration
Non-specific bands in Western blot: Increase antibody dilution; optimize washing steps; consider using gradient gels for better separation
Variable results between experiments: Standardize protocols, including incubation times and temperatures; prepare fresh working solutions
Proper experimental controls are essential for interpreting results correctly. Include both positive controls (tissues known to express DOK3) and negative controls (primary antibody omission, isotype controls).
DOK family proteins share structural similarities that may lead to antibody cross-reactivity. To assess and mitigate this:
Sequence comparison: Analyze the immunogen sequence used to generate the antibody against other DOK family members
Western blot analysis: Test the antibody against recombinant DOK1, DOK2, and other family members
Knockout validation: When available, use DOK3 knockout samples as negative controls
Peptide competition: Pre-incubate the antibody with the immunizing peptide to confirm binding specificity
Similar to approaches used for characterizing anti-idiotypic antibodies in the literature, researchers could develop DOK-specific domain constructs to verify binding specificity of their DOK3 antibody .
Proper documentation of antibody validation is essential for research reproducibility. When publishing research using DOK3 antibody, researchers should include:
Complete antibody information: Manufacturer, catalog number, lot number, RRID when available
Validation data: Include supplementary data showing specificity tests
Detailed methods: Provide complete protocols including dilutions, incubation times, buffer compositions
Control information: Describe all positive and negative controls used
Batch effects: Note any lot-to-lot variation observed during the study
This level of documentation aligns with emerging standards for antibody reporting in scientific literature and enhances the reproducibility of research findings.
Quantitative analysis of DOK3 expression or localization requires rigorous analytical approaches:
Western blot densitometry: Normalize DOK3 signal to appropriate loading controls; use linear range of detection
IHC quantification: Consider both staining intensity and percentage of positive cells; use standardized scoring systems
Immunofluorescence analysis: Apply appropriate background correction; consider co-localization analysis when studying interaction partners
Statistical considerations: Select appropriate statistical tests based on data distribution; account for technical and biological replicates
For longitudinal studies, consistent analysis methods should be employed across all time points to ensure comparability of results.
DOK3 antibody data is most valuable when integrated with complementary experimental approaches:
Correlation with functional assays: Link DOK3 expression/localization to cellular function (e.g., B-cell activation, cytokine production)
Integration with transcriptomic data: Compare protein expression detected by antibody with mRNA expression patterns
Systems biology approaches: Incorporate DOK3 data into pathway analyses and protein interaction networks
Temporal analysis: Track changes in DOK3 expression/modification across disease progression or cellular differentiation
This integrative approach provides a more comprehensive understanding of DOK3 biology than antibody-based detection alone.