CD82 Antibody, HRP conjugated

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Description

Introduction to CD82 Antibody, HRP Conjugated

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.

3.1. Validated Use: ELISA

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 .

Potential Applications (Inferred from CD82 Biology)

ApplicationRationale
WBDetect CD82 in lysates (band ~30–36 kDa)
IHCStain CD82 in tissues (e.g., tonsil, placental villi)
Functional StudiesInvestigate CD82’s role in Wnt signaling, TIMP1 regulation, or cell migration

Note: HRP-conjugated CD82 antibody performance in these applications requires experimental validation.

Research Context: CD82’s Biological Roles

While the HRP-conjugated antibody’s direct research use is limited, CD82’s established functions inform its potential utility:

4.1. Metastasis Suppression

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 .

4.2. Wnt Signaling Regulation

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.

4.3. TIMP1 and S100 Protein Interactions

CD82 correlates with TIMP1 expression and regulates S100A7/9 in cancer cells, influencing inflammation and metastasis .

Limitations and Future Directions

  • 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.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship the products within 1-3 business days after receiving your order. Delivery times may vary depending on the purchase method or location. For specific delivery times, please consult your local distributor.
Synonyms
CD82; KAI1; SAR2; ST6; TSPAN27; CD82 antigen; C33 antigen; IA4; Inducible membrane protein R2; Metastasis suppressor Kangai-1; Suppressor of tumorigenicity 6 protein; Tetraspanin-27; Tspan-27; CD antigen CD82
Target Names
Uniprot No.

Target Background

Function
CD82 Antibody, HRP conjugated, associates with CD4 or CD8 and delivers costimulatory signals for the TCR/CD3 pathway.
Gene References Into Functions
  1. Low CD82 expression has been linked to Biochemical Failure in Prostate cancer. PMID: 29936782
  2. Inhibition of miR-338-5p suppressed growth and metastasis of A375 cells. CD82 mRNA was identified as a direct target mRNA of miR-338-5p. PMID: 29710538
  3. The positive expression rates of KAI1 and nm23 were significantly lower in laryngeal squamous cell carcinoma than normal laryngeal mucosa. PMID: 29187211
  4. Research suggests that CD82 membrane organization regulates sustained PKCalpha signaling, resulting in an aggressive leukemia phenotype. These findings suggest that the CD82 scaffold may be a potential therapeutic target for attenuating aberrant signal transduction in acute myeloid leukemia (AML). PMID: 27417454
  5. CD82 is a component of the promiscuous TIMP-1 interacting protein complex on the cell surface of human pancreatic adenocarcinoma cells. CD82 directly binds to TIMP-1 N-terminal region through its large extracellular loop and co-localizes with TIMP-1. PMID: 28030805
  6. Studies indicate that CD82 suppresses epithelial-to-mesenchymal transition in prostate cancer cells adhered to the fibronectin matrix by repressing adhesion signaling through lateral interactions with the associated alpha3beta1 and alpha5beta1 integrins, leading to reduced cell migration and invasive capacities. PMID: 27926483
  7. Overexpression of LAMC2 and knockdown of CD82 significantly promoted GC cell invasion and activated EGFR/ERK1/2-MMP7 signaling via upregulation of the expression of phosphorylated (p)-EGFR, p-ERK1/2 and MMP7. PMID: 28252644
  8. Authors have shown that miR-K6-5p directly targeted the coding sequence of CD82 molecule (CD82), a metastasis suppressor. PMID: 28534512
  9. A sub-population of DeltaNp63 and CD82-positive cells, whose disruption significantly perturbs the development of prostate metastatic tumor growth. PMID: 28368419
  10. These findings uncovered a previously unknown function of CD82 in severing the linkage between U2AF2-mediated CD44 alternative splicing and cancer aggressiveness, with potential prognostic and therapeutic implications in melanoma PMID: 27041584
  11. Research suggests a mechanism where the membrane organization of CD82, through specific posttranslational modifications, regulates N-cadherin clustering and membrane density, which impacts the in vivo trafficking of AML cells. PMID: 26592446
  12. Methylation of CpG islands within the KAI1 promoter region was observed in the low KAI1-expressing prostate cancer cells. PMID: 27813113
  13. CD82 function may be crucial for muscle stem cell function in muscular disorders. PMID: 27641304
  14. The overexpression of KAI1/CD82 inhibited the proliferation and invasion of OSCC-15 cells. PMID: 28260006
  15. Current work suggests that CD82 on EC is a potential target for anti-angiogenic therapy in VEGFR2-dependent tumor angiogenesis. PMID: 27103437
  16. Research indicates that a loss of KAI1/CD82 and an increase in PDGFR expression in gliomas relate to a progressive tumor growth PMID: 27764516
  17. KAI1 underexpression is associated with gastric cancer. PMID: 27793161
  18. KAI1-induced decreases in VEGFC expression are mediated via Src/STAT3 signaling pathways in pancreatic cancer cells. PMID: 27082851
  19. The simultaneous overexpression of p12CDK2-AP1 and CD82 significantly suppressed the in vivo tumor growth. PMID: 27349208
  20. Lack of expression of the KAI1 might indicate a more aggressive form of breast cancer. PMID: 27509988
  21. KAI1 and KISS1 are implicated in the pathogenesis and maintenance of endometriosis. PMID: 26918694
  22. Ubiquitously expressed CD82 restrains cell migration and cell invasion by modulating both cell-matrix and cell-cell adhesiveness and confining outside-in pro-motility signaling. PMID: 26335499
  23. Survivin, Bcl-2, and KAI1 are metastasis-related factors in cervical cancer. Overexpression of survivin and Bcl-2, and low expression of KAI1 promotes cervical cancer progress and metastasis. PMID: 26681053
  24. KAI1 was able to suppress melanoma angiogenesis by downregulating IL-6 and VEGF expression. PMID: 26199094
  25. Loss of both KAI1 and p27 defines a subgroup of primary melanoma patients with poor prognosis. PMID: 26246476
  26. The expression of KAI1/CD82, CD44, MMP7 and beta-catenin is related to tumor metastasis and prognosis in colorectal carcinoma. PMID: 26408312
  27. Serum-free media and hypoxia protected the MiaPaCa-2 cells from a KAI1-induced apoptosis and proliferation inhibition via autophagy induction. PMID: 25199507
  28. High KAI1 expression is associated with epithelial-mesenchymal transition in non-small cell lung cancer. PMID: 26231404
  29. CD82 regulated BCL2L12 expression via STAT5A and AKT signaling and stimulated proliferation and engrafting of leukemia cells. PMID: 26260387
  30. CD82 enhanced the expression of miR-203 and directly downregulated FZD2 expression, suppressing cancer metastasis/cell migration by inhibiting the Wnt signaling pathway. PMID: 26132195
  31. Blockade of CD82 in leukemia cells lowered EZH2 expression via activation of p38 MAPK signaling. PMID: 25955299
  32. KAI1-splice not only counteracts the tumor-suppressive actions of KAI1 but also promotes alphavbeta3-mediated biological functions in favor of tumor progression and metastasis. PMID: 25435431
  33. CD82 down-regulation could be a critical step involved in the EGFR over-expression and the stronger tumorigenic activity triggered by EGFR mutations PMID: 25912735
  34. These results suggest that microRNA-362-3p or CD82 can be exploited as a new potential target for control of gastric cancers in the future. PMID: 25652145
  35. Expression level of KAI1 was downregulated, while the expression level of VEGF was upregulated in the tissues or serum of patients with hepatocellular carcinoma. Combined detection of KAI1 and VEGF form a reliable panel of diagnostic markers for HCC. PMID: 25071074
  36. Hypermethylation of the CD82 promoter may be an event leading to the development of hepatoma and is likely to be involved in tumor progression. PMID: 25119390
  37. High expression of COX-2 and low expression of KAI-1/CD82 are associated with increased tumor invasiveness in papillary thyroid carcinoma. PMID: 23617728
  38. KAI-1, might be an important biological marker involved in the carcinogenesis, metastasis, and invasion of gallbladder adenocarcinoma. PMID: 25688501
  39. This study reveals that DeltaNp63alpha upregulates CD82 to inhibit cell invasion, and suggests that GSK3beta can regulate cell invasion by modulating the DeltaNp63alpha-CD82 axis. PMID: 24901051
  40. Low CD82 expression is associated with laryngeal squamous cell carcinoma. PMID: 24758564
  41. CD82 overexpression increases the molecular density of alpha4 within membrane clusters, thereby increasing cellular adhesion. PMID: 24623721
  42. Clear cell renal cell carcinoma patients with CD82 positive expression show poor prognosis PMID: 24553302
  43. CD82/KAI expression prevents IL-8-mediated endothelial gap formation in late-stage melanomas. PMID: 23873025
  44. Positive expression of KAI1 protein was found in ovarian tissue in 72.2% cases in BRCA1 mutation carriers and in 72.2 % in the control group. PMID: 23553196
  45. Taken together, these data suggest that anti-miR-197 suppresses HCC migration and invasion by targeting CD82. PMID: 24613834
  46. No statistically significant association was observed in KAI1 exon 9. PMID: 23873015
  47. KAI1 overexpression increases ING4 expression. Decreased KAI1 expression correlated with a worse melanoma patient survival. Increased expression of KAI1 reduces melanoma cell migration. PMID: 24130172
  48. This research provides an important new insight into the modulatory role of CD82 in endocytic trafficking of EGF receptor. PMID: 23897813
  49. KAI1/CD82 and cyclinD1 may serve as markers for determination of invasiveness, metastasis, and prognosis of laryngeal squamous cell carcinoma. PMID: 23696923
  50. Our data suggest that the CD82/STAT5/IL-10 signaling pathway is involved in the survival of CD34(+)/CD38(-) acute myelogenous leukemia cells PMID: 23797738

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Database Links

HGNC: 6210

OMIM: 600623

KEGG: hsa:3732

STRING: 9606.ENSP00000227155

UniGene: Hs.527778

Protein Families
Tetraspanin (TM4SF) family
Subcellular Location
Cell membrane; Multi-pass membrane protein.
Tissue Specificity
Lymphoid specific.

Q&A

What is CD82/KAI1 and what cellular functions does it regulate?

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 .

What are the key differences between polyclonal and monoclonal CD82 antibodies for research applications?

The selection between polyclonal and monoclonal CD82 antibodies depends on experimental requirements and desired specificity:

FeaturePolyclonal CD82 Antibody (e.g., ab66400, CSB-PA13269B0Rb)Monoclonal CD82 Antibody (e.g., EPR4112/ab109529)
OriginProduced by multiple B-cell lineagesProduced by a single B-cell clone
Epitope recognitionRecognizes multiple epitopes on CD82Recognizes a single, specific epitope
ConsistencyBatch-to-batch variation may occurHigh consistency between batches
ApplicationsBroader application range (WB, IHC-P, ELISA)May have more limited applications (primarily WB)
SensitivityOften higher sensitivity due to multi-epitope bindingGenerally 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 .

How does HRP conjugation enhance CD82 antibody utility in experimental protocols?

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 .

What are the optimal experimental conditions for using CD82 Antibody, HRP conjugated in ELISA applications?

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 .

What are the critical steps for successful Western blot detection of CD82 using HRP-conjugated antibodies?

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 .

What controls should be included when validating CD82 detection specificity?

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.

What are common causes of weak or absent signals when using CD82 Antibody, HRP conjugated?

Several factors can contribute to suboptimal signal when using CD82 antibodies:

ProblemPotential CausesOptimization Strategies
No signalDegraded protein sampleUse fresh samples with protease inhibitors; avoid freeze-thaw cycles
Insufficient protein loadedIncrease protein concentration; confirm with loading control
Inefficient transferOptimize transfer conditions; use PVDF membrane for tetraspanins
Inactive HRP conjugateStore antibody according to manufacturer specifications (-20°C/-80°C); avoid repeated freeze-thaw cycles
Weak signalInsufficient antibody concentrationIncrease antibody concentration; check optimal dilution range
Inadequate incubation timeExtend incubation time to overnight at 4°C
Low CD82 expressionUse signal enhancement systems; increase exposure time
Suboptimal substrateUse high-sensitivity ECL substrates

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 .

How can researchers determine the optimal dilution of CD82 Antibody, HRP conjugated for specific applications?

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:

  • Use known positive control tissue (e.g., human tonsil)

  • 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 .

What approaches can address non-specific binding with CD82 Antibody, HRP conjugated?

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 .

How can CD82 Antibody, HRP conjugated be used to investigate CD82's role in EGFR signaling?

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 .

What approaches can be used to study the interaction of CD82 with heparan sulfate proteoglycans (HSPGs)?

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 .

How can CD82 Antibody, HRP conjugated be utilized in cancer metastasis research?

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.

How should researchers interpret varying molecular weight bands when detecting CD82 with specific antibodies?

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 PatternLikely InterpretationVerification Method
30-35 kDa band onlyUnmodified CD82/deglycosylated formCompare with glycosidase-treated samples
45-55 kDa dominant bandFully glycosylated mature CD82Most common pattern in cell lysates
Multiple bands (40-60 kDa)Different glycosylation statesValidate with different antibodies
High MW bands (>70 kDa)Potential dimers or complexesVerify with non-reducing conditions
Low MW bands (<30 kDa)Possible degradation productsCheck 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

What approaches provide robust quantification of CD82 expression for comparative studies?

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.

How can researchers distinguish between CD82 and other tetraspanin family members in experimental systems?

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.

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