BETVIA antibodies specifically bind to the Major pollen allergen Bet v 1-A (UniProt ID: P13612), a 17 kDa pathogenesis-related protein responsible for birch pollen allergies . This protein acts as a steroid carrier and is a key trigger of IgE-mediated hypersensitivity reactions in humans .
Structure: Comprises 160 amino acids with a conserved PR-10 fold .
Function: Binds lipids and steroids, facilitating allergen-immune system interactions .
Clinical Relevance: Primary cause of seasonal allergic rhinitis and cross-reactivity with food allergens (e.g., apples, hazelnuts) .
BETVIA antibodies are utilized in:
Allergy Studies: Quantifying Bet v 1-A in environmental samples or patient sera to assess allergen exposure .
Immune Modulation: Investigating Bet v 1-A's role in suppressing dendritic cell activation and T-cell responses .
Diagnostic Development: Enabling ELISA-based detection of birch pollen-specific IgE antibodies .
Bet v 1-A antibodies inhibit IgE binding, reducing allergic reactions in vitro .
Structural analysis reveals epitopes critical for cross-reactivity with homologous food allergens .
ELISA: Detects Bet v 1-A at concentrations as low as 0.1 ng/mL .
Western Blot: Clear bands at ~17 kDa under reducing conditions .
BETVIA Antibody is a polyclonal antibody that specifically targets Major pollen allergen Bet v 1-A protein from Betula pendula (European white birch, also known as Betula verrucosa). This antibody recognizes epitopes on the recombinant Betula pendula Major pollen allergen Bet v 1-A protein, specifically amino acids 2-160 . The target protein has been assigned UniProt ID P15494 and is believed to function as a general steroid carrier protein within biological systems . This antibody serves as a valuable tool for researchers studying allergen biology, particularly those focused on birch pollen allergies and cross-reactivity patterns in immunological studies.
BETVIA Antibody is commercially available in multiple conjugated forms to accommodate different experimental applications and detection systems. The primary formats include HRP (horseradish peroxidase) conjugated (PACO65158), which enables direct detection in assays through enzymatic color development , Biotin conjugated versions that allow for signal amplification through avidin-biotin systems , and non-conjugated formats (PACO50286) that provide flexibility for researchers to apply custom secondary detection methods . Each conjugation format has specific advantages depending on the detection system, sensitivity requirements, and experimental design parameters being employed in the research project.
BETVIA Antibody is a polyclonal antibody raised in rabbits using recombinant Betula pendula Major pollen allergen Bet v 1-A protein (amino acids 2-160) as the immunogen . The polyclonal nature means that it consists of a heterogeneous mixture of antibodies that recognize multiple epitopes on the target protein. This provides robust detection capabilities across different experimental conditions. The antibody belongs to the IgG isotype and has been purified using Protein G affinity chromatography to achieve greater than 95% purity . The polyclonal nature offers advantages in certain applications where detection of multiple epitopes may provide more comprehensive antigen recognition compared to monoclonal antibodies.
BETVIA Antibody has been validated for several experimental applications with specific recommended working dilutions. The primary validated applications include Enzyme-Linked Immunosorbent Assay (ELISA) with recommended dilutions of 1:2000-1:10000, and Western Blotting (WB) with recommended dilutions of 1:500-1:5000 . The HRP-conjugated version is particularly optimized for ELISA applications , while the non-conjugated version demonstrates versatility in both ELISA and Western Blot techniques . When performing Western Blot, positive detection has been confirmed with recombinant protein samples using the antibody at 2.8μg/ml concentration with a secondary goat polyclonal antibody to rabbit IgG . Researchers should validate optimal working concentrations for their specific experimental systems.
For optimal preservation of BETVIA Antibody activity, proper storage conditions are critical. Upon receipt, the antibody should be stored at either -20°C or -80°C . It is supplied in liquid form with a preservation buffer containing 0.03% Proclin 300, 50% Glycerol, and 0.01M PBS, pH 7.4 . This formulation helps maintain stability during storage. A key consideration is avoiding repeated freeze-thaw cycles, which can significantly diminish antibody activity through protein denaturation and aggregation . For researchers requiring frequent access, aliquoting the antibody into single-use volumes upon receipt is recommended to minimize freeze-thaw damage. Properly stored antibody with minimal freeze-thaw cycles should maintain activity throughout the manufacturer's recommended shelf life.
When designing experiments with BETVIA Antibody, proper controls are essential for result validation. For positive controls, recombinant Betula pendula Major pollen allergen Bet v 1-A protein has been successfully used in Western blotting applications . Negative controls should include samples known not to express the target protein and ideally samples from non-Betula species to confirm specificity. Isotype controls using rabbit IgG at matching concentrations should be employed to identify any non-specific binding. For conjugated antibody versions (HRP or biotin), additional controls testing for endogenous peroxidase activity or biotin, respectively, are recommended. When performing quantitative analyses, standard curves using purified recombinant protein at known concentrations should be included to ensure accurate quantification. These comprehensive controls will help distinguish specific signal from background and validate experimental outcomes.
When encountering weak signal intensity in Western blotting with BETVIA Antibody, several optimization strategies can be implemented. First, consider increasing the primary antibody concentration, potentially starting at the upper end of the recommended range (1:500) and titrating as needed . Extending the primary antibody incubation time from standard protocols (typically 1 hour at room temperature) to overnight incubation at 4°C can enhance binding. The transfer efficiency should be verified using reversible protein stains like Ponceau S before immunodetection. For enhanced sensitivity, consider using enhanced chemiluminescence (ECL) substrates with longer signal duration or switching to more sensitive detection systems. The HRP-conjugated version may provide direct detection without secondary antibody requirements, potentially reducing background and improving signal-to-noise ratios . Finally, ensure the protein of interest hasn't degraded during sample preparation by including protease inhibitors and maintaining appropriate temperature conditions throughout sample handling.
Non-specific binding can compromise experimental results when using BETVIA Antibody. To mitigate this issue, several approaches can be implemented. First, optimize blocking conditions by testing different blocking agents (BSA, non-fat dry milk, commercial blockers) at various concentrations (3-5%) and extended blocking times (1-2 hours). Increase the number and duration of washing steps using buffers containing 0.05-0.1% Tween-20 to remove weakly bound antibodies. Consider pre-adsorbing the antibody with proteins from non-target species or using commercially available blocking peptides. Since BETVIA Antibody is polyclonal, batch-to-batch variation may occur; therefore, testing different lots or switching to more specific detection systems might help. For Western blotting specifically, ensuring complete transfer and using freshly prepared buffers can reduce background. In ELISA, titrating both primary and secondary antibodies can help identify optimal concentrations that maximize specific binding while minimizing background signals .
Transitioning between different conjugated forms of BETVIA Antibody (HRP-conjugated, biotin-conjugated, or non-conjugated) requires specific protocol adjustments. When using HRP-conjugated antibody (PACO65158), detection can occur directly without secondary antibodies, but substrate selection becomes critical - TMB for ELISA or enhanced chemiluminescence reagents for Western blotting . For biotin-conjugated antibody (A50481), an additional detection step using streptavidin-reporter molecule conjugates (typically streptavidin-HRP) is required, which can enhance sensitivity through signal amplification but may increase background if not properly optimized . When using non-conjugated antibody (PACO50286), appropriate species-specific secondary antibodies must be selected and optimized . Dilution factors will vary between formats - HRP and biotin-conjugated versions typically require higher dilutions than non-conjugated forms. Detection time and substrate incubation periods should be empirically determined for each format. Additionally, conjugated antibodies may have slightly altered binding characteristics compared to non-conjugated versions, necessitating assay revalidation when switching formats.
Integrating computational approaches with BETVIA Antibody experimental data can significantly enhance research outcomes and interpretations. Homology modeling of antibody-antigen interactions can provide structural insights into epitope binding mechanisms. Similar to approaches described for other antibodies, tools like PIGS server and AbPredict algorithm can be utilized to generate 3D structural models of BETVIA Antibody binding to Bet v 1-A protein . These models can then be refined through molecular dynamics simulations to understand binding energetics and conformational changes upon interaction. Epitope mapping algorithms can predict potential binding sites on the Bet v 1-A protein, which can be experimentally validated using BETVIA Antibody. For quantitative analyses, signal processing algorithms can enhance detection sensitivity in immunoassays by distinguishing signal from noise. Machine learning approaches can also be applied to analyze complex datasets generated from multiple experiments, identifying patterns and correlations that might not be apparent through conventional analysis. By combining computational predictions with experimental validation using BETVIA Antibody, researchers can develop more comprehensive understandings of allergen biology and immunological responses.
Recent advances in protein fusion technology have significant implications for developing improved BETVIA antibodies. As demonstrated in recent research by Sanford Burnham Prebys and Eli Lilly, fusing protein complexes together can enhance stability during immunization and enable more effective antibody generation . This approach could be particularly valuable for BETVIA antibodies, where the target allergen Bet v 1-A often forms complexes with other proteins during immune recognition. By creating fusion constructs that stabilize these complexes, researchers could potentially generate antibodies that recognize conformational epitopes present only in the native protein complex rather than just linear epitopes. These next-generation antibodies might offer superior specificity and sensitivity for detecting physiologically relevant forms of the allergen. Additionally, engineering BETVIA antibodies with novel fusion protein domains could enhance their functionality, such as adding cell-penetrating peptides for intracellular applications or incorporating domains that modulate immune responses for potential therapeutic applications. Such approaches represent an emerging frontier in antibody technology that could substantially expand the utility of BETVIA antibodies beyond current research applications.
BETVIA Antibody research has significant implications for unraveling the complex mechanisms of cross-reactive allergen epitopes in allergic diseases. Since the target protein Bet v 1-A is a major birch pollen allergen with known cross-reactivity to food allergens (particularly fruits, nuts, and vegetables), studying epitope recognition using BETVIA Antibody could reveal critical structural determinants of cross-reactivity . By mapping the precise epitopes recognized by BETVIA Antibody and comparing these with patient IgE binding patterns, researchers can identify immunodominant regions that drive clinical cross-reactivity. Advanced techniques such as epitope mapping through hydrogen-deuterium exchange mass spectrometry or X-ray crystallography of antibody-antigen complexes could provide atomistic details of these interactions. Such knowledge would significantly enhance our understanding of the molecular basis for oral allergy syndrome and other manifestations of pollen-food cross-reactivity. Furthermore, this research could inform the development of hypoallergenic variants for immunotherapy or guide the engineering of proteins with reduced allergenicity for various applications. The potential therapeutic implications extend to developing targeted interventions that block specific cross-reactive epitopes without compromising broader immune functions.
The integration of BETVIA Antibody with emerging single-cell analysis technologies presents exciting new research frontiers. As single-cell proteomics and transcriptomics continue to advance, BETVIA Antibody could be adapted for use in high-resolution techniques like mass cytometry (CyTOF), single-cell Western blotting, or microfluidic antibody capture systems. These approaches would enable researchers to examine Bet v 1-A allergen interactions at unprecedented cellular resolution, potentially revealing cell type-specific responses in allergic reactions. Conjugating BETVIA Antibody with photo-activatable or fluorescent tags compatible with super-resolution microscopy could facilitate visualization of allergen distribution within cells at nanometer-scale resolution. Additionally, combining BETVIA Antibody detection with single-cell RNA sequencing in multimodal approaches could correlate protein expression with transcriptional programs in individual cells responding to allergen exposure. Such integrated analyses would significantly enhance our understanding of the heterogeneity in allergic responses and potentially identify previously unrecognized cell populations involved in allergy pathogenesis. These technological adaptations would transform BETVIA Antibody from a bulk analysis tool to a precision reagent for dissecting cellular heterogeneity in allergic diseases.
BETVIA Antibody holds considerable potential for innovation in both diagnostic and therapeutic applications related to birch pollen allergies. For diagnostics, integrating BETVIA Antibody into multiplex microarray platforms or lateral flow devices could enable rapid, sensitive detection of Bet v 1-A allergen exposure or sensitization patterns. Such tests could provide more personalized allergy profiles than current approaches. The antibody could also be instrumental in developing standardized allergen quantification methods for environmental monitoring or food safety applications . From a therapeutic perspective, understanding the epitope recognition patterns of BETVIA Antibody could inform the design of epitope-specific immunotherapies that target the most clinically relevant portions of the allergen. Additionally, engineered variants of BETVIA Antibody might be developed to block IgE binding to Bet v 1-A without triggering inflammatory responses, potentially serving as blocking antibodies for passive immunotherapy approaches. The protein fusion techniques recently described could be particularly valuable in engineering such therapeutic antibodies with enhanced stability and functionality . As our understanding of allergen-antibody interactions deepens, BETVIA Antibody research may contribute to next-generation approaches for modulating allergic immune responses with greater precision and efficacy.