The CD79B Antibody, HRP conjugated (e.g., ab306480 from Abcam) is a rabbit recombinant monoclonal antibody designed for research applications in immunology and oncology. It targets CD79B (B-cell-specific glycoprotein B29), a key component of the B-cell receptor complex (BCR) involved in signaling, antigen recognition, and B-cell activation . The antibody is conjugated with horseradish peroxidase (HRP), enabling its use in enzyme-linked immunosorbent assays (ELISA), Western blotting, and immunohistochemistry (IHC) to detect CD79B expression in B-cell malignancies and normal tissue .
Target Specificity: Binds to CD79B, a transmembrane protein expressed on mature B cells (excluding plasma cells) and malignant B-cell populations .
Applications: Validated for ELISA, Western blot, and IHC-P (paraffin-embedded tissue sections) .
Species Reactivity: Reacts with human samples; cross-reactivity with mouse and rat tissues has been reported in some variants .
| Parameter | Description |
|---|---|
| Clonality | Recombinant monoclonal antibody (rabbit origin) |
| Conjugation | Covalently linked to HRP via a proprietary process |
| Epitope | CD79B extracellular domain (membrane-proximal region) |
| Working Dilution | ELISA: 1:1,000–1:10,000; IHC: 1:500–1:1,000 |
| Immunogen | Recombinant human CD79B protein expressed in HEK293 cells |
The antibody has been employed in studies investigating B-cell malignancies, including diffuse large B-cell lymphoma (DLBCL) and chronic lymphocytic leukemia (CLL) . Validation data from Abcam indicates:
ELISA EC50: 3.214–3.642 ng/mL (human CD79B protein binding) .
Western Blot: Detects a 26–39 kDa band in lysates from Raji (human Burkitt lymphoma) cells .
IHC: Stains germinal center B cells in human tonsil sections and rat spleen tissue .
| Product | Conjugation | Species Reactivity | Applications | Citation |
|---|---|---|---|---|
| ab306480 (Abcam) | HRP | Human, Rat | ELISA, WB, IHC | |
| CSB-PA004958LB01HU | HRP | Human | ELISA | |
| ab134147 (Abcam) | Unlabeled | Human, Mouse, Rat | IHC, Flow Cyt, WB |
CD79B-targeted therapies, such as polatuzumab vedotin (an ADC approved for relapsed/refractory DLBCL), highlight the antigen’s role in oncology . While the HRP-conjugated antibody is not therapeutic, its research utility supports biomarker discovery and companion diagnostics for B-cell malignancies .
CD79B is essential for B-cell antigen receptor complex (BCR) signal transduction. It cooperates with CD79A to initiate a cascade leading to BCR internalization, trafficking to late endosomes, and subsequent antigen presentation. CD79B enhances CD79A phosphorylation, potentially by recruiting kinases that phosphorylate CD79A or by recruiting proteins that prevent CD79A dephosphorylation.
CD79B's role in B-cell function is further highlighted by the following research findings:
CD79B (also known as B29 or Ig-beta) is a critical component of the B cell antigen receptor complex (BCR). It forms a heterodimer with CD79A and is essential for BCR signal transduction. CD79B contains cytoplasmic immunoreceptor tyrosine-based activation motifs (ITAMs) that mediate intracellular signaling after antigen engagement . The protein is required for:
Initiation of the signal transduction cascade activated by the BCR
Internalization of the BCR complex
Trafficking to late endosomes and antigen presentation
Enhanced phosphorylation of CD79A, possibly by recruiting kinases or protective proteins
These functions make CD79B an excellent marker for B cells and a potential therapeutic target for B cell malignancies and autoimmune disorders.
HRP-conjugated CD79B antibodies are versatile tools with multiple applications in research. Based on validated protocols, these antibodies can be used for:
| Application | Recommended Dilution | Key Considerations |
|---|---|---|
| Western Blot (WB) | 1:500-2000 | Optimal for protein detection on blots with enhanced chemiluminescence detection systems |
| Immunohistochemistry (IHC) | 1:2000 | Provides direct visualization without secondary antibody in paraffin-embedded tissues |
| Flow Cytometry (FC) | Variable by product | Direct labeling of cells with optimized protocols |
The direct HRP conjugation eliminates the need for secondary antibodies, reducing background and cross-reactivity while streamlining experimental workflows .
Proper validation is critical for ensuring experimental rigor:
Positive controls: Use tissues or cell lines with known CD79B expression (e.g., B cell lines such as Raji or Daudi)
Negative controls: Include CD79B-negative cells (T cells, epithelial cells)
Blocking experiments: Pre-incubate the antibody with recombinant CD79B protein
Knockdown validation: Compare staining in CD79B knockdown/knockout samples
Cross-reactivity testing: Verify species reactivity as per manufacturer specifications (e.g., human, mouse, rat)
When interpreting results, consider that CD79B expression varies throughout B cell development and activation states.
To maintain activity and specificity of HRP-conjugated CD79B antibodies:
Store at -20°C in aliquots to avoid freeze-thaw cycles
For short-term storage (1-2 weeks), 4°C is acceptable
Typical storage buffers contain PBS (pH 7.3) with 1% BSA and 50% glycerol
Protect from light to prevent photobleaching
Expected stability is approximately 12 months from date of receipt when properly stored
Activity loss can be monitored through regular testing with positive control samples.
Anti-CD79B antibodies can significantly modulate BCR signaling pathways. Research indicates that anti-CD79B binding without Fc region effector function does not cause significant B cell depletion but induces several functional changes:
Decreased expression of plasma membrane-associated IgM and IgD
Uncoupling of BCR-induced tyrosine phosphorylation from calcium mobilization
Increased expression of PTEN, consistent with an anergic B cell phenotype
When designing experiments to study these signaling effects, researchers should consider time-course analyses (5-60 minutes post-stimulation) to capture both early phosphorylation events and downstream calcium flux. Phospho-specific antibodies against Syk, Btk, and PLCγ2 can be used in conjunction with CD79B antibodies to create a comprehensive signaling profile.
When studying B cell malignancies with CD79B antibodies, researchers should consider:
Heterogeneous expression: CD79B expression varies across lymphoma subtypes; diffuse large B-cell lymphomas and follicular lymphomas typically show strong expression, while some Burkitt's lymphomas may show reduced levels
Mutation status: Approximately 21% of activated B-cell diffuse large B-cell lymphomas carry CD79B mutations, primarily in the ITAM domain
Internalization kinetics: CD79B undergoes rapid internalization upon antibody binding, making it an excellent target for antibody-drug conjugates
Comparison with other markers: Correlate CD79B expression with CD19, CD20, and other B cell markers for comprehensive phenotyping
For therapeutic development applications, monitoring potential antigen loss is critical, as target antigen escape has been observed in 27% of relapsed patients after CAR-T therapies targeting other B cell markers .
For developing multiplexed assays incorporating CD79B detection:
Antibody compatibility: Ensure CD79B antibodies are compatible with other antibodies in multiplex panels by checking species, isotypes, and fluorophore/enzyme combinations
Signal separation: When using HRP-conjugated CD79B antibodies alongside other detection systems, employ sequential detection with appropriate blocking steps
Tyramide Signal Amplification (TSA): Consider TSA systems for enhanced sensitivity in multiplexed IHC applications
Spectral overlap: Account for potential cross-talk between detection systems
A typical B cell panel might include CD79B, CD19, CD20, PAX5, and BCL6, requiring careful titration of each antibody to achieve balanced signal intensities .
Recent research investigating CD79B as a therapeutic target has identified several mechanisms that can lead to target antigen loss:
Transcriptional downregulation: Epigenetic silencing of CD79B expression
Alternative splicing: Generation of truncated isoforms lacking the antibody-binding epitope
Mutations in binding domains: Alterations that reduce antibody affinity
Internalization and degradation: Enhanced endocytic clearance of CD79B
Selection pressure: Therapeutic targeting may select for CD79B-negative tumor cell populations
Understanding these mechanisms is essential for developing combination therapies that might prevent escape. Monitoring CD79B expression before and after therapeutic intervention using flow cytometry or IHC can help identify patients at risk for antigen loss.
Anti-CD79B treatment shows distinctive properties in autoimmune disease models:
Disease prevention: Anti-human CD79B antibodies prevent disease development in multiple mouse models of autoimmunity
Mechanism distinction: Unlike anti-CD20 antibodies that deplete B cells, anti-CD79B without Fc effector function modulates B cell function without significant depletion
Plasma cell effects: Evidence suggests anti-CD79B may inhibit antibody secretion by terminally differentiated plasmablasts and plasma cells in vitro, which is not typically achieved with anti-CD20 therapies
Long-term outcomes: The durability of response may differ from other B cell-targeting approaches
When designing experiments to compare these approaches, include readouts for both B cell numbers (flow cytometry) and function (ELISPOT for antibody-secreting cells, serum antibody titers).
Optimizing HRP-conjugated CD79B antibodies for tissue microarray analysis requires:
Antigen retrieval optimization: Test multiple retrieval methods (citrate buffer pH 6.0, EDTA buffer pH 9.0) to maximize signal while preserving tissue morphology
Endogenous peroxidase blocking: Thorough blocking (3% H₂O₂, 10-15 minutes) is essential to reduce background
Titration: Perform careful antibody titration (1:1000, 1:2000, 1:4000) to identify optimal signal-to-noise ratio
Incubation conditions: Standardize temperature (4°C vs. room temperature) and duration (1-2 hours vs. overnight)
Detection systems: Compare different substrate systems (DAB, AEC) for optimal visualization
Multi-tissue validation: Include positive and negative control tissues on each array
Quantitative image analysis should incorporate appropriate thresholding to distinguish specific CD79B staining from background.
| Issue | Possible Causes | Solutions |
|---|---|---|
| High background | Insufficient blocking, excessive antibody concentration | Increase blocking time/concentration, optimize antibody dilution, include 0.1% Tween-20 in wash buffers |
| Weak or no signal | Inadequate antigen retrieval, antibody degradation | Optimize retrieval conditions, check antibody storage, use fresh aliquots, consider signal amplification systems |
| Non-specific binding | Cross-reactivity, protein-protein interactions | Increase blocking agents (BSA, serum), pre-absorb antibody, increase washing stringency |
| Variable results | Inconsistent protocols, antibody instability | Standardize all protocol steps, prepare fresh working solutions for each experiment |
When transitioning between applications (e.g., from WB to IHC), re-optimization of antibody concentration is typically necessary .
Fixation significantly impacts CD79B epitope preservation:
Comparison testing: Systematically compare paraformaldehyde (2-4%), glutaraldehyde (0.1-0.5%), methanol, and acetone
Fixation duration: Test short (10 min) vs. extended (overnight) fixation periods
Temperature effects: Compare fixation at 4°C vs. room temperature
Epitope mapping: Determine if the antibody targets conformational or linear epitopes to guide fixation strategy
Post-fixation recovery: Evaluate antigen retrieval methods specific to each fixation method
Flow cytometric analysis comparing staining intensity across different fixation protocols can help quantify epitope preservation effectiveness .
Recent preclinical research has developed novel chimeric antigen receptor (CAR) constructs targeting CD79B for non-Hodgkin's lymphoma treatment:
Novel CAR designs: Three new CARs against CD79b (termed CARLY1, 2, and 3) have been developed and characterized
Comparison to CD19: These CARs have been evaluated against established CD19-targeting CARs (ARI0001) and BCMA-targeting CARs (ARI0002h)
Antigen loss monitoring: Studies have analyzed CD79B expression loss compared to other targets like CD19 and BCMA
Efficacy parameters: These include cytotoxicity, T-cell persistence, and inflammatory profiles
Researchers investigating this area should consider combinatorial targeting approaches to mitigate antigen escape, as well as evaluating different co-stimulatory domains (CD28 vs. 4-1BB) for optimizing CAR-T persistence.
HRP-conjugated CD79B antibodies are finding new applications in advanced single-cell analysis:
Mass cytometry adaptation: Conjugation with metal isotopes rather than HRP for CyTOF applications
Single-cell proteomics: Integration with microfluidic platforms for protein expression profiling
Spatial transcriptomics: Combined protein-RNA detection to correlate CD79B protein expression with transcriptional programs
In situ protein-protein interaction: Proximity ligation assays using CD79B antibodies to map interaction networks
These approaches require careful validation and often benefit from custom conjugation protocols to ensure antibody functionality is maintained throughout specialized workflows .
CD79B expression patterns can enhance diagnostic precision in B cell malignancies:
Diagnostic algorithms: Integration of CD79B with other B cell markers for improved classification
Intensity quantification: Standardized measurement of CD79B expression levels across different lymphoma subtypes
Correlation with genetic features: Association of CD79B expression patterns with recurrent mutations or chromosomal abnormalities
Prognostic stratification: Assessment of CD79B expression as a potential prognostic indicator
Treatment selection: Potential use of CD79B expression to guide therapy selection, particularly for targeted approaches
Researchers should consider incorporating digital pathology and machine learning approaches to quantify CD79B expression levels across large sample cohorts for improved classification accuracy.