The moxd2 Antibody is a recombinant monoclonal antibody designed to bind specifically to the moxd2 protein (UniProt ID: Q08CS6). This protein is classified as a single-pass type I membrane protein, suggesting its localization to cellular membranes. Its functional role involves enzymatic activity associated with copper-dependent monooxygenase processes.
While specific research data on moxd2 Antibody is limited, its classification as a monoclonal antibody suggests potential use in:
Immunodetection: Western blot, immunoprecipitation, or immunohistochemistry to study moxd2 protein expression .
Therapeutic development: Targeting moxd2 in diseases linked to aberrant monooxygenase activity, though no clinical trials are reported.
The moxd2 Antibody is part of a broader category of monoclonal antibodies used in research and medicine . General monoclonal antibodies are engineered for high specificity, enabling precise targeting of antigens. Their mechanisms include neutralization, opsonization, or modulating immune responses .
Research findings: No peer-reviewed studies on moxd2 Antibody efficacy or applications were identified in the provided sources.
Source diversity: Information is currently restricted to a single commercial product page, limiting cross-validation.
STRING: 7955.ENSDARP00000029391
UniGene: Dr.107389
MOXD2 (Mitogenic Oxidase 2) is a protein that belongs to the NADPH oxidase family, which is involved in reactive oxygen species (ROS) generation. It is also known by several synonyms including GP91-3, gp91phox homolog 3, and NADPH oxidase 3 . This protein plays crucial roles in cellular signaling pathways related to oxidative stress responses and inflammatory processes. MOXD2 is expressed endogenously in various human, mouse, and rat tissues, with detection possible through specific antibodies against this protein . Understanding its function is essential for research in oxidative stress-related cellular mechanisms and potential involvement in pathological conditions.
MOXD2 antibodies are primarily utilized in three major research applications: Western Blot (WB), Immunohistochemistry (IHC), and Enzyme-Linked Immunosorbent Assay (ELISA) . In Western Blot applications, MOXD2 antibodies allow detection of endogenous levels of MOXD2 protein in cell lysates, enabling quantitative assessment of protein expression across different experimental conditions. For IHC applications, these antibodies facilitate visualization of MOXD2 protein distribution in tissue sections, providing insights into cellular and subcellular localization patterns. ELISA applications enable quantitative measurement of MOXD2 in solution-based samples. Scientific validation data demonstrating successful Western Blot detection in COLO205 cells and rat muscle tissue confirms the utility of these antibodies in detecting endogenous MOXD2 protein .
Currently available MOXD2 antibodies demonstrate cross-reactivity with human, mouse, and rat samples . This multi-species reactivity is particularly valuable for comparative studies and translational research where findings in rodent models need to be validated in human systems. The cross-species reactivity stems from the high degree of conservation in the MOXD2 protein sequence across these mammalian species. When designing experiments, researchers should verify the specific epitope recognized by their chosen antibody to ensure consistent detection across species, as minor sequence variations may affect binding efficiency in different experimental contexts.
For optimal Western Blot detection of MOXD2 protein, researchers should follow these methodological guidelines:
Sample preparation: Lyse cells in RIPA buffer containing protease inhibitors
Protein separation: Use 8-12% SDS-PAGE gels (MOXD2 has a molecular weight that separates well in this range)
Transfer: Implement semi-dry or wet transfer to PVDF or nitrocellulose membranes
Blocking: Block with 5% non-fat milk or BSA in TBST for 1 hour at room temperature
Primary antibody incubation: Dilute MOXD2 polyclonal antibody at 1:500-1:1000 in blocking buffer and incubate overnight at 4°C
Secondary antibody: Use appropriate anti-rabbit IgG-HRP conjugated secondary antibody
Detection: Develop using enhanced chemiluminescence (ECL) substrate
Validation data from COLO205 cells and rat muscle tissue demonstrates successful detection using these conditions . Researchers should optimize antibody concentrations based on their specific samples and detection systems.
To preserve antibody activity and specificity, MOXD2 antibodies should be stored according to these guidelines:
Storage buffer: The antibody is typically formulated in PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide, which helps maintain stability
Aliquoting: Divide into small single-use aliquots to prevent repeated freeze-thaw cycles
Shelf life: When stored properly, the antibody maintains its activity for approximately 1 year
Handling: When working with the antibody, keep on ice and return to -20°C promptly after use
Following these storage recommendations ensures that the antibody maintains its specific binding properties and minimizes background signal in experimental applications.
Implementing appropriate controls is essential for valid interpretation of results when using MOXD2 antibodies:
Positive control: Include known MOXD2-expressing samples such as COLO205 cells or rat muscle tissue
Negative control: Use samples with low or no MOXD2 expression or MOXD2 knockdown/knockout samples
Secondary antibody control: Omit primary antibody to assess non-specific binding of secondary antibody
Peptide competition assay: Pre-incubate antibody with immunizing peptide to confirm specificity
Isotype control: Use non-specific rabbit IgG at the same concentration as the MOXD2 antibody
Additionally, for IHC applications, tissue-specific controls and omission of primary antibody controls should be included. These controls collectively ensure that signals detected are specifically attributable to MOXD2 protein rather than experimental artifacts.
Characterizing and optimizing MOXD2 antibody specificity requires sophisticated analytical approaches:
Epitope mapping: Identify the precise amino acid sequence recognized by the antibody using peptide arrays or hydrogen-deuterium exchange mass spectrometry
Cross-reactivity assessment: Test against closely related proteins within the NADPH oxidase family
Computational analysis: Apply biophysics-informed modeling to predict binding interactions
Affinity measurements: Determine binding kinetics using biolayer interferometry (BLI) or surface plasmon resonance (SPR)
Selection experiments: Perform phage display with different combinations of ligands to assess binding profiles
By applying these techniques, researchers can fully characterize antibody binding properties and potentially design variants with enhanced specificity. The strategy of identifying different binding modes associated with particular ligands enables the development of antibodies with customized specificity profiles, either with specific high affinity for MOXD2 or with cross-specificity for multiple targets .
Multiple analytical techniques should be employed for comprehensive characterization of MOXD2 antibody quality:
| Analytical Technique | Purpose | Parameters Measured |
|---|---|---|
| Size-Exclusion Chromatography (SEC) | Assess antibody homogeneity | Aggregation, fragmentation |
| Cation Exchange Chromatography (CEX) | Analyze charge variants | Deamidation, oxidation |
| Capillary Electrophoresis (CE) | Evaluate purity | Charge heterogeneity |
| Mass Spectrometry (MS) | Detailed structural analysis | Post-translational modifications |
| Circular Dichroism (CD) | Secondary structure assessment | Conformational integrity |
| Surface Plasmon Resonance (SPR) | Binding kinetics | Association/dissociation rates |
These analytical techniques provide complementary data on antibody physical and chemical properties, ensuring batch-to-batch consistency and maintaining experimental reproducibility . For therapeutic applications or critical research, multiple orthogonal methods should be combined to provide comprehensive quality assessment.
For applications requiring enhanced MOXD2 antibody specificity, consider these advanced strategies:
Affinity maturation: Use directed evolution approaches to improve binding affinity while maintaining specificity
Paired antibody approaches: Employ two antibodies targeting different MOXD2 epitopes, similar to the "anchor and inhibitor" approach used in virus research
Computational design: Apply machine learning algorithms to predict and design antibody sequences with optimized specificity profiles
Negative selection: During antibody development, include selection steps against closely related proteins to eliminate cross-reactivity
Site-specific conjugation: Modify antibodies to carry detection labels at precise locations that don't interfere with antigen binding
These approaches can be particularly valuable when working with complex sample types or when attempting to distinguish between closely related protein isoforms. The computational design approach has demonstrated success in creating antibodies with customized specificity profiles by optimizing energy functions associated with desired binding modes .
False positive signals with MOXD2 antibodies can arise from several sources:
Cross-reactivity with homologous proteins: MOXD2 shares sequence similarity with other NADPH oxidase family members. Solution: Perform validation with knockout/knockdown controls and peptide competition assays.
Non-specific binding: Secondary antibodies may bind to endogenous immunoglobulins. Solution: Include secondary-only controls and use appropriate blocking (5% BSA or milk in TBST).
Sample preparation artifacts: Incomplete blocking or excessive protein loading can create background signal. Solution: Optimize blocking conditions and titrate protein concentration.
Detection system sensitivity: Overly sensitive detection can amplify background noise. Solution: Adjust exposure times and substrate concentration.
Batch variability: Antibody lots may vary in specificity. Solution: Test new lots against reference samples before use in critical experiments.
Systematically addressing these potential sources of false positives through careful experimental design and appropriate controls ensures reliable MOXD2 detection across different experimental settings.
Optimizing IHC protocols for MOXD2 detection requires methodical adjustment of several parameters:
Tissue fixation and processing: Test multiple fixatives (4% PFA, formalin) and fixation times to preserve epitope accessibility.
Antigen retrieval: Compare heat-induced epitope retrieval methods using citrate buffer (pH 6.0) versus EDTA buffer (pH 9.0) at different temperatures and durations.
Blocking conditions: Evaluate different blocking agents (normal serum, BSA, commercial blockers) for reduction of background staining.
Antibody concentration: Titrate primary MOXD2 antibody (starting at 1:100-1:500) to determine optimal signal-to-noise ratio.
Incubation conditions: Compare overnight incubation at 4°C versus shorter incubations at room temperature.
Detection system: Test chromogenic versus fluorescent detection systems based on expression level and co-localization needs.
Counterstaining: Adjust hematoxylin intensity for chromogenic detection or nuclear dye concentration for fluorescence.
Each tissue type may require specific optimization, and successful protocols should be thoroughly documented to ensure reproducibility across experiments.
MOXD2 antibodies can be integrated into advanced multi-parameter studies through these approaches:
Conjugation strategies: Direct conjugation to fluorophores (Alexa Fluor dyes, PE, APC) for flow cytometry or super-resolution microscopy.
Spectral compatibility: Selection of fluorophores with minimal spectral overlap with other markers in multicolor panels.
Intracellular staining: Optimization of fixation and permeabilization protocols to maintain MOXD2 epitope accessibility while allowing simultaneous detection of other proteins.
Multiplexed imaging: Integration with multiplexed immunofluorescence techniques like cyclic immunofluorescence (CycIF) or CO-Detection by indEXing (CODEX).
Live cell applications: Development of non-toxic labeling strategies for tracking MOXD2 dynamics in living cells.
For successful implementation, researchers should carefully validate antibody performance after any modification and ensure that conjugation doesn't alter binding specificity or affinity. Multi-parameter approaches provide contextual information about MOXD2 expression and localization relative to other cellular markers.
Integrating MOXD2 antibodies with proteomics requires attention to these methodological considerations:
Immunoprecipitation efficiency: Optimize antibody-to-bead ratios and binding conditions to maximize MOXD2 capture while minimizing non-specific binding.
Sample preparation compatibility: Ensure lysis buffers and processing methods are compatible with downstream mass spectrometry analysis.
Cross-linking strategies: Consider formaldehyde or DSS cross-linking to capture transient MOXD2 protein interactions.
Quantification approaches: Implement SILAC, TMT, or label-free quantification for accurate measurement of MOXD2 and interacting partners.
Validation strategies: Confirm proteomics findings using orthogonal methods such as co-immunoprecipitation followed by Western blot.
The combination of MOXD2 antibody-based enrichment with advanced proteomics enables identification of novel interaction partners and post-translational modifications, providing deeper insights into MOXD2 function in different cellular contexts and disease states.
Computational approaches offer promising avenues for developing enhanced MOXD2 antibodies:
Epitope prediction: Advanced algorithms can identify optimal epitopes that are unique to MOXD2 and accessible in native conformations.
Structure-guided design: Using protein structure prediction tools like AlphaFold to model MOXD2-antibody interactions and optimize binding interfaces.
Machine learning applications: Training models on experimental data to predict binding affinities and cross-reactivity profiles .
Energy function optimization: Mathematical approaches to minimize or maximize binding energies for desired specificity profiles, enabling the design of antibodies with customized binding characteristics .
Molecular dynamics simulations: Predicting antibody behavior in different experimental conditions to optimize stability and binding properties.
These computational approaches, when combined with experimental validation, can significantly accelerate the development of MOXD2 antibodies with superior specificity, sensitivity, and stability for challenging research applications.
MOXD2 antibodies provide valuable tools for investigating oxidative stress mechanisms in various disease contexts:
Neurodegenerative disorders: Tracking MOXD2 expression and localization in models of Alzheimer's, Parkinson's, and ALS where oxidative stress plays a significant role.
Cardiovascular disease: Examining MOXD2 contribution to ROS production in atherosclerosis and ischemia-reperfusion injury models.
Cancer biology: Investigating the dual role of ROS in tumor initiation and progression, with MOXD2 potentially serving as both biomarker and therapeutic target.
Inflammatory conditions: Analyzing MOXD2 involvement in chronic inflammation where dysregulated ROS production contributes to tissue damage.
Aging research: Studying MOXD2 expression changes during aging and its contribution to age-related oxidative damage.
By providing specific detection of MOXD2 across multiple experimental platforms, these antibodies enable researchers to dissect the complex roles of oxidative stress in disease pathogenesis and potentially identify new therapeutic strategies targeting MOXD2-related pathways.