CD82 (Cluster of Differentiation 82), also known as KAI1, is a tetraspanin protein involved in metastasis suppression, cell adhesion, and signaling regulation . The HRP-conjugated CD82 antibody is a polyclonal rabbit antibody linked to horseradish peroxidase (HRP), enabling enzymatic detection of CD82 in assays like ELISA. This conjugation enhances sensitivity for applications requiring colorimetric or chemiluminescent readouts.
The HRP-conjugated CD82 antibody has been validated for ELISA applications, where it detects CD82 in mouse samples . While no direct data exist for Western Blot (WB), Immunohistochemistry (IHC), or Flow Cytometry, general CD82 antibodies (non-HRP conjugated) have demonstrated utility in these methods .
Note: HRP-conjugated CD82 antibody performance in these applications requires experimental validation.
While the HRP-conjugated antibody’s direct research use is limited, CD82’s established functions inform its potential utility:
CD82 inhibits cancer cell migration and invasion by regulating MMP9 and TIMP1/2 activity . Overexpression of CD82 reduces pro-MMP9 activity, suppressing extracellular matrix remodeling .
CD82 attenuates canonical Wnt signaling by stabilizing β-catenin at the cell membrane and reducing its nuclear translocation . This mechanism underpins its role in maintaining epithelial integrity.
CD82 correlates with TIMP1 expression and regulates S100A7/9 in cancer cells, influencing inflammation and metastasis .
Limited Testing: Currently validated only for ELISA; WB, IHC, and Flow Cytometry require optimization.
Cross-Reactivity: No data on cross-reactivity with non-mouse species or isoforms.
Clinical Relevance: While CD82 is implicated in cancer prognosis, the HRP-conjugated antibody’s diagnostic potential remains unexplored.
CD82/KAI1 is a member of the tetraspanin family of proteins that functions as a structural component of specialized membrane microdomains known as tetraspanin-enriched microdomains (TERMs). These microdomains serve as platforms for receptor clustering and signaling . CD82 participates in diverse biological functions including cell signal transduction, adhesion, migration, and protein trafficking.
CD82 acts primarily as an attenuator of EGF signaling by facilitating ligand-induced endocytosis of the receptor and its subsequent desensitization . Mechanistically, it modulates ligand-induced ubiquitination and trafficking of EGFR via E3 ligase CBL phosphorylation by PKC . Additionally, CD82 increases cell-matrix adhesion by regulating membrane organization of various integrins, including alpha4/ITA4, alpha6/ITGA6, and beta1/ITGB1, thereby suppressing cell migration .
Beyond its well-established role in cancer metastasis suppression, CD82 also participates in immune regulation. It associates with CD4 or CD8 and delivers costimulatory signals for the TCR/CD3 pathway, plays a role in TLR9 trafficking, inhibits LPS-induced inflammatory responses, and contributes to macrophage activation into anti-inflammatory phenotypes .
The selection between polyclonal and monoclonal CD82 antibodies depends on experimental requirements and desired specificity:
| Feature | Polyclonal CD82 Antibody (e.g., ab66400, CSB-PA13269B0Rb) | Monoclonal CD82 Antibody (e.g., EPR4112/ab109529) |
|---|---|---|
| Origin | Produced by multiple B-cell lineages | Produced by a single B-cell clone |
| Epitope recognition | Recognizes multiple epitopes on CD82 | Recognizes a single, specific epitope |
| Consistency | Batch-to-batch variation may occur | High consistency between batches |
| Applications | Broader application range (WB, IHC-P, ELISA) | May have more limited applications (primarily WB) |
| Sensitivity | Often higher sensitivity due to multi-epitope binding | Generally more specific but potentially less sensitive |
Polyclonal CD82 antibodies, such as ab66400, have demonstrated effectiveness in multiple applications including Western blot and immunohistochemistry on paraffin-embedded tissues . For example, ab66400 at 1/50 dilution successfully stained CD82 in paraffin-embedded mouse salivary gland tissue and human tonsil tissue (1:80 dilution), clearly highlighting follicular dendritic cell networks .
By contrast, monoclonal CD82 antibodies like EPR4112 (ab109529) provide high specificity for a single epitope, making them especially valuable for distinguishing between closely related proteins or specific conformational states of CD82 .
HRP conjugation provides significant methodological advantages in CD82 research applications:
Direct detection capability: HRP-conjugated CD82 antibodies (such as CSB-PA13269B0Rb) enable direct detection without requiring secondary antibodies, simplifying experimental protocols and reducing potential sources of variability .
Increased sensitivity: The enzymatic amplification provided by HRP can enhance signal detection, especially beneficial when studying samples with low CD82 expression levels.
Reduced background: Direct conjugation eliminates potential cross-reactivity associated with secondary antibodies, potentially reducing non-specific background signals.
Time efficiency: HRP-conjugated antibodies streamline experimental workflows by eliminating secondary antibody incubation and washing steps, particularly valuable in high-throughput studies.
Versatility: HRP-conjugated CD82 antibodies can be utilized across multiple applications including ELISA, Western blot, and immunohistochemistry with appropriate detection substrates .
The HRP-conjugated CD82 antibody CSB-PA13269B0Rb, for example, is specifically optimized for ELISA applications with human samples, utilizing recombinant human CD82 antigen protein (amino acids 111-228) as an immunogen .
For optimal ELISA results with HRP-conjugated CD82 antibodies, researchers should carefully consider multiple methodological parameters:
Sample Preparation:
For cell lysates: Extract proteins using RIPA buffer containing protease inhibitors
For serum/plasma: Use appropriate dilution (typically 1:10-1:100) in blocking buffer
For tissue extracts: Homogenize in PBS with protease inhibitors, centrifuge, and use supernatant
Protocol Optimization:
Coating: Use purified CD82 protein or capture antibody (1-10 μg/ml) in carbonate buffer (pH 9.6), incubate overnight at 4°C
Blocking: 3-5% BSA or non-fat milk in PBS-T (PBS + 0.05% Tween-20) for 1-2 hours at room temperature
HRP-conjugated CD82 antibody application: For CSB-PA13269B0Rb, use at manufacturer-recommended dilution (typically 1:1000 to 1:5000) in blocking buffer
Incubation: 1-2 hours at room temperature or overnight at 4°C with gentle agitation
Washing: 4-6 times with PBS-T to remove unbound antibody
Detection: Use TMB substrate followed by stop solution (2N H₂SO₄)
Quantification: Read absorbance at 450 nm with 570 nm reference wavelength
The CSB-PA13269B0Rb antibody has been specifically validated for ELISA applications with human samples, with optimal concentration determined through careful titration experiments .
Successful Western blot detection of CD82 requires attention to several critical methodological details:
Sample Preparation:
Cell lysis: Use RIPA or NP-40 buffer containing protease inhibitors
Protein quantification: Bradford or BCA assay to ensure equal loading
Sample denaturation: Heat at 70°C for 10 minutes (not boiling) to preserve tetraspanin structure
Electrophoresis and Transfer:
Load 10-30 μg total protein per lane
Use 10-12% SDS-PAGE gels for optimal resolution
Transfer to PVDF membrane (preferred over nitrocellulose for tetraspanins)
Use semi-dry transfer at 15V for 30 minutes or wet transfer at 30V overnight at 4°C
Immunodetection:
Blocking: 5% non-fat milk in TBS-T for 1 hour at room temperature
Primary antibody: For non-conjugated antibodies like ab109529, use at 1:1000 dilution
For HRP-conjugated antibodies: Apply directly at manufacturer-recommended dilution
Incubation: Overnight at 4°C with gentle agitation
Washing: 4 × 5 minutes with TBS-T
Detection: Use enhanced chemiluminescence (ECL) substrate
Exposure: Start with 30-second exposure, adjust as needed
Band Interpretation:
CD82 typically appears as multiple bands between 40-60 kDa due to glycosylation. In U-87 MG and Jurkat cell lines, specific bands have been validated with the EPR4112 monoclonal antibody .
Proper experimental controls are essential for validating CD82 antibody specificity:
Positive Controls:
Cell lines with confirmed CD82 expression: Jurkat (human T cell leukemia) and U-87 MG (human glioblastoma-astrocytoma) have been validated as positive controls
Tissue sections: Human tonsil tissue sections have demonstrated strong membrane staining of follicular dendritic cells with CD82 antibodies
Negative Controls:
Primary antibody omission: Process samples following standard protocol but omit primary antibody
Isotype controls: Use non-specific IgG from same species at equivalent concentration
CD82-knockdown samples: Use siRNA or shRNA to generate CD82-depleted samples as demonstrated in 2.5.2A breast cancer cells
Blocking Peptide Controls:
Pre-incubate antibody with excess immunizing peptide (for CSB-PA13269B0Rb, this would be recombinant Human CD82 antigen protein amino acids 111-228)
Apply pre-absorbed antibody to duplicate samples
Specific staining should be eliminated or significantly reduced
Cross-Reactivity Assessment:
Test antibody against related tetraspanin family members
Evaluate species cross-reactivity if working with non-human samples
Proper controls are critical for distinguishing specific CD82 signals from background or non-specific binding, particularly in complex samples like tissue sections.
Several factors can contribute to suboptimal signal when using CD82 antibodies:
When working with CD82 antibodies, researchers should be aware that CD82 is often post-translationally modified with high levels of glycosylation, which can affect detection . Additionally, proper antigen retrieval is critical for immunohistochemistry applications. For example, ab66400 has been successfully used with heat-mediated antigen retrieval in CC1 Cell Conditioning Buffer using a Ventana Standard Retrieval program .
Determining optimal antibody concentration requires systematic titration:
For Western Blot:
Prepare a known positive control sample (e.g., Jurkat or U-87 MG cell lysate)
Run multiple identical lanes of the same sample
Test a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000)
Process following standard Western blot protocol
Compare signal-to-noise ratio across dilutions
Select dilution that provides best combination of specific signal and minimal background
For ELISA:
Coat plate with target antigen at constant concentration
Perform checkerboard titration with antibody dilutions (e.g., 1:1000 to 1:10,000)
Process following standard ELISA protocol
Generate standard curve for each antibody dilution
Calculate signal-to-noise ratio and determine linear range for each dilution
Select dilution providing optimal sensitivity within linear detection range
For Immunohistochemistry:
Prepare multiple sections of identical tissue
Test antibody dilution series (e.g., 1:50, 1:100, 1:200)
Process following standard IHC protocol
Evaluate specific membrane staining versus background
Select dilution with optimal specific staining and minimal background
For ab66400, the experimentally validated dilutions are 1:50 for mouse salivary gland tissue and 1:80 for human tonsil tissue in immunohistochemistry applications .
Non-specific binding can significantly impact experimental outcomes, requiring systematic troubleshooting:
Optimization of Blocking Conditions:
Test different blocking reagents (BSA, non-fat milk, normal serum, commercial blockers)
Increase blocking time (2-3 hours at room temperature or overnight at 4°C)
Add 0.1-0.3% Triton X-100 to blocking solution for membrane permeabilization
Washing Optimization:
Increase washing frequency (6-8 washes instead of standard 3-5)
Extend washing duration (10 minutes per wash)
Use higher concentration of detergent (0.1% vs. 0.05% Tween-20) in wash buffer
Antibody Incubation Modifications:
Dilute antibody in blocking solution containing 1-5% of protein from the same species as the sample
Add 0.1-0.5 M NaCl to antibody diluent to reduce non-specific ionic interactions
Pre-adsorb antibody against tissues or cell extracts from species of interest
Background Reduction Methods:
For tissue sections: Use avidin/biotin blocking kit if endogenous biotin is present
For cells with high peroxidase activity: Increase H₂O₂ blocking (e.g., 3% H₂O₂ for 10 minutes)
For high autofluorescence: Use Sudan Black B treatment
For immunohistochemistry applications with CD82 antibodies, specific optimization strategies have been documented, including 3% H₂O₂ for 4 minutes at 37°C for peroxidase blocking prior to antibody application .
CD82 plays a critical role in regulating EGFR signaling through several mechanisms that can be investigated using CD82 antibodies:
Ubiquitylation Analysis:
CD82 specifically suppresses ubiquitylation of EGFR after stimulation with heparin-binding EGF (HB-EGF) or amphiregulin (AR), but not with EGF itself . Researchers can design experiments to examine this selective regulation:
Stimulate cells with different EGFR ligands (EGF, HB-EGF, AR)
Immunoprecipitate EGFR
Perform Western blot analysis for ubiquitin and CD82
Compare ubiquitylation levels between CD82-expressing and CD82-depleted cells
Studies have demonstrated that ubiquitylation of EGFR in CD82-depleted cells increased up to 3-fold following HB-EGF stimulation compared to parental cells .
Receptor Trafficking Studies:
CD82 affects EGFR trafficking following ligand stimulation, which can be analyzed through:
Surface biotinylation followed by internalization assays
Immunofluorescence co-localization with endosomal markers
EGFR recycling assays comparing CD82-positive and CD82-negative cells
PKC Phosphorylation Analysis:
CD82 increases phosphorylation of threonine 654 (PKC phosphorylation site) in the juxtamembrane domain of EGFR . This can be examined using:
Phospho-specific antibodies against EGFR-T654
Kinase inhibitor studies to determine PKC involvement
Co-immunoprecipitation of CD82 and EGFR following ligand stimulation
These methodologies allow researchers to dissect the complex regulatory role of CD82 in EGFR signaling, particularly its discriminative control of c-Cbl activity toward heparin-binding ligand-EGFR pairs .
The interaction between CD82 and HSPGs represents an important regulatory mechanism in EGFR signaling that can be investigated through several approaches:
Heparin-Binding Domain Studies:
Research has shown that the heparin-binding domain of HB-EGF is essential for CD82-induced changes in the ubiquitylation of EGFR . Experimental approaches include:
Comparing wild-type HB-EGF versus HB-EGF with deleted heparin-binding domain (sΔHB-EGF)
Analyzing EGFR ubiquitylation following stimulation with modified ligands
Using heparinase treatment to degrade cell surface HSPGs before stimulation
Studies have demonstrated that ubiquitylation of EGFR in both control and CD82-expressing cells was robust and comparable following stimulation with sΔHB-EGF, confirming the critical role of the heparin-binding domain .
Co-immunoprecipitation Studies:
Immunoprecipitate CD82 and probe for HSPGs
Perform reverse co-IP with antibodies against specific HSPGs
Use crosslinking approaches to stabilize transient interactions
Surface Plasmon Resonance (SPR):
Immobilize purified CD82 on SPR chip
Flow over different HSPG variants
Measure binding kinetics and affinity
Functional Consequences Analysis:
Deplete specific HSPGs using siRNA
Overexpress CD82 in HSPG-deficient cells
Analyze EGFR ubiquitylation and trafficking
These approaches help elucidate the critical role of CD82 in regulating communication between HSPGs and ligand-bound EGFR, affecting the activity of c-Cbl and subsequent receptor trafficking .
CD82/KAI1 functions as a metastasis suppressor, making it an important target in cancer research. CD82 antibodies enable several experimental approaches:
Metastatic Potential Correlation Studies:
Analyze CD82 expression across cancer cell lines with different metastatic potentials
Correlate expression levels with invasive properties
Create tissue microarrays from primary tumors and metastatic sites to examine CD82 expression patterns
Functional Mechanism Investigations:
Examine CD82-dependent regulation of integrins (α4/ITA4, α6/ITGA6, β1/ITGB1)
Analyze effect on cell-matrix adhesion
Investigate interaction with urokinase-type plasminogen activator (PLAU) and its receptor (PLAUR)
Therapeutic Target Validation:
Restore CD82 expression in metastatic cell lines
Assess changes in invasive properties
Evaluate effects on EGFR signaling pathways
Examine impact on angiogenesis through CD82's binding and sequestration of VEGFA and PDGFB
Biomarker Development:
Develop quantitative IHC protocols for CD82 detection in clinical samples
Correlate CD82 expression with patient outcomes
Evaluate CD82 as part of multi-marker prognostic panels
These approaches leverage CD82 antibodies to advance understanding of metastasis mechanisms and potentially identify new therapeutic strategies for metastatic disease.
CD82 protein often presents multiple bands on Western blots due to post-translational modifications, requiring careful interpretation:
Expected Band Patterns:
Predicted molecular weight: 30-35 kDa (unmodified protein)
Observed molecular weight: 40-60 kDa range (glycosylated forms)
Multiple bands typically represent different glycosylation states
Band Interpretation Guidelines:
| Band Pattern | Likely Interpretation | Verification Method |
|---|---|---|
| 30-35 kDa band only | Unmodified CD82/deglycosylated form | Compare with glycosidase-treated samples |
| 45-55 kDa dominant band | Fully glycosylated mature CD82 | Most common pattern in cell lysates |
| Multiple bands (40-60 kDa) | Different glycosylation states | Validate with different antibodies |
| High MW bands (>70 kDa) | Potential dimers or complexes | Verify with non-reducing conditions |
| Low MW bands (<30 kDa) | Possible degradation products | Check sample preparation protocol |
When evaluating Western blot results, investigators should note that specific cell lines show characteristic patterns. For example, U-87 MG and Jurkat cell lines display specific band patterns when probed with the EPR4112 monoclonal antibody .
Verification Approaches:
Deglycosylation: Treat samples with PNGase F and compare band patterns
Multiple antibodies: Use antibodies recognizing different epitopes
CD82 knockdown: Compare with shRNA-depleted samples as demonstrated in 2.5.2A breast cancer cells
Recombinant protein: Run alongside purified CD82 as size reference
Accurate quantification of CD82 expression requires rigorous methodological approaches:
Western Blot Quantification:
Include dilution series of positive control (e.g., recombinant CD82) on each blot
Use appropriate loading controls (β-actin, GAPDH, or total protein stains)
Employ digital image acquisition with wide dynamic range
Perform densitometry using software that accounts for background
Generate standard curves to ensure measurements fall within linear range
Normalize CD82 signal to loading control or total protein
Perform at least three biological replicates for statistical validity
ELISA-Based Quantification:
Develop sandwich ELISA using two non-competing CD82 antibodies
Create standard curve using recombinant CD82 protein
Validate assay linearity, sensitivity, and reproducibility
Process samples in technical triplicates
Include quality control samples across plates for inter-assay comparison
Flow Cytometry Quantification:
Use calibrated beads with known antibody binding capacity
Calculate molecules of equivalent soluble fluorochrome (MESF)
Determine surface density of CD82 molecules per cell
Compare expression across different cell populations
RT-qPCR for mRNA Quantification:
Design specific primers spanning exon-exon junctions
Validate primer efficiency using dilution series
Use multiple reference genes for normalization
Correlate mRNA with protein levels to identify post-transcriptional regulation
These approaches enable rigorous comparative studies of CD82 expression across different experimental conditions, cell types, or clinical samples.
Distinguishing CD82 from other tetraspanins requires careful methodological considerations:
Antibody Specificity Verification:
Test antibodies against recombinant tetraspanin panel
Use cell lines with defined tetraspanin expression profiles
Employ knockout/knockdown models for validation
Verify epitope specificity through peptide competition
Sequence Homology Analysis:
The tetraspanin family shares structural features but differs in key domains. CD82-specific antibodies like CSB-PA13269B0Rb target unique regions (amino acids 111-228 of human CD82) to minimize cross-reactivity.
Functional Discrimination Approaches:
CD82-specific functions in EGFR regulation can distinguish it from other tetraspanins
CD82 uniquely suppresses ubiquitylation of EGFR after HB-EGF or AR stimulation
CD82's role in PKC-mediated phosphorylation of EGFR differs from other tetraspanins
Mass Spectrometry Verification:
Immunoprecipitate with CD82 antibody
Perform tryptic digestion
Identify unique peptides by LC-MS/MS
Compare against tetraspanin protein database
Co-localization Studies:
Perform dual-color immunofluorescence with antibodies against different tetraspanins
Analyze co-localization coefficients
Use super-resolution microscopy to distinguish closely associated tetraspanins
These strategies enable confident discrimination between CD82 and other tetraspanin family members in experimental systems, ensuring specificity of findings in CD82-focused research.