Applications : Western blot
Sample type: Human Tissues
Review: Both AT-EVs and WJ-EVs showed the expression of EV markers which were positive for CD63 and TSG101.
CD63 is a 53 kDa type III lysosomal glycoprotein belonging to the tetraspanin (TM4SF) family. It is also known as LAMP-3, ME491, granulophysin, and TSPAN30 . CD63 is primarily localized in late endosomes and lysosomes, but redistributes to the plasma membrane upon cellular activation . Its expression pattern varies across cell types - it is abundant in activated platelets, monocytes, and macrophages, while being weakly expressed in resting granulocytes, T lymphocytes, and B lymphocytes . CD63 is also found in non-hematopoietic cells including endothelium, fibroblasts, osteoclasts, and smooth muscle cells .
For optimal detection of CD63 in different cellular compartments, consider these methodological approaches:
For surface CD63: Flow cytometry with non-permeabilized cells
For total CD63: Flow cytometry with fixed and permeabilized cells (paraformaldehyde fixation followed by saponin permeabilization works well)
For subcellular localization: Immunofluorescence microscopy with co-staining for compartment-specific markers
CD63 antibodies have diverse applications across multiple research areas:
When designing experiments, select antibodies validated for your specific application, as performance can vary between techniques .
Selecting the optimal CD63 antibody requires consideration of multiple factors:
Target species: Human CD63 shares 67% and 65% amino acid sequence identity with mouse and rat CD63, respectively . Some antibodies like clone H5C6 recognize human CD63 and cross-react with non-human primates .
Application compatibility: Different antibody clones perform differently across applications. Review validation data for your specific application (WB, IHC, IF, FC) .
Epitope recognition: Some antibodies target the large extracellular loop (LEL) of CD63, which is crucial for interactions with partners like HIV-1 gp41 . For functional studies, epitope location matters.
Clone type: Monoclonal antibodies (e.g., H5C6, CLB-Gran/12) offer high specificity for a single epitope, while polyclonal antibodies may provide higher sensitivity by recognizing multiple epitopes .
Format requirements: Consider whether you need conjugated antibodies (PE, FITC) for direct detection or unconjugated antibodies for flexibility in secondary detection systems .
Always pilot test multiple antibodies when beginning a new research direction with CD63.
Optimal dilutions vary by antibody formulation, application, and sample type. Based on the search results, recommended ranges include:
For optimal results:
Always titrate the antibody for your specific sample type and detection system
Include appropriate isotype controls at the same concentration
Consider signal amplification methods for low abundance targets
Follow manufacturer's recommendations for storage and handling to maintain antibody activity
Verifying antibody specificity is critical for generating reliable data. Implement these methodological approaches:
Positive and negative controls: Compare staining between:
Genetic validation: Compare antibody staining in:
Molecular weight verification: In western blots, CD63 typically appears as a smear between 30-60 kDa (often around 50-53 kDa) due to variable glycosylation .
Deglycosylation test: Treatment with N-glycanase yields a sharp band at 25 kDa, closer to the predicted molecular weight of 25.6 kDa .
Multiple antibody comparison: Use antibodies recognizing different CD63 epitopes and compare staining patterns.
Cross-validation with literature: Compare your results with published CD63 localization patterns for your cell type.
Remember that CD63 detection patterns will vary based on cell activation status, fixation methods, and detection systems.
CD63 is a canonical exosome marker that plays functional roles in exosome formation and cargo selection. To leverage CD63 antibodies for exosome research:
Exosome isolation validation:
Cargo selection studies:
Use CD63 antibodies for immunoprecipitation to identify cargo proteins that interact with CD63
Compare exosome content before and after CD63 knockdown/knockout
Investigate if CD63 antibody treatment affects cargo loading
Exosome uptake tracking:
Label purified exosomes with fluorescently-conjugated CD63 antibodies
Use flow cytometry and microscopy to track cellular uptake
Compare uptake of CD63-positive versus CD63-depleted exosomes
Functional blocking experiments:
Test if CD63 antibodies can block exosome-cell interactions
Assess impact on exosome-mediated signaling and phenotypic changes
Tetraspanin web analysis:
Use proximity ligation assays (PLAs) to visualize CD63 interactions with other tetraspanins
Investigate how these interactions contribute to exosome composition
When interpreting results, remember that CD63's role in exosomes may be cell type-specific and context-dependent. Multiple tetraspanins have overlapping functions, so compensation mechanisms may exist in CD63-deficient conditions.
CD63 is implicated in multiple aspects of viral infection, particularly for HIV-1. According to the search results, the large extracellular loop (LEL) of CD63 interacts with the gp41 transmembrane envelope protein of HIV-1 at the virological synapse (VS) where viral particles are transferred between cells .
Methodological approaches using CD63 antibodies to study viral pathogenesis include:
Mapping virus-host protein interactions:
Visualizing virus-induced cellular changes:
Immunofluorescence microscopy can track CD63 redistribution during infection
Live cell imaging with CD63 antibodies can monitor recruitment to the virological synapse
Super-resolution microscopy can provide detailed localization information
Functional blocking studies:
Mutational analysis:
This research area could yield insights for antiviral therapeutic development targeting host factors rather than viral components, potentially offering broader spectrum activity.
CD63 has emerging roles in cancer biology, with expression patterns varying across cancer types. CD63 antibodies have proven valuable in multiple aspects of cancer research:
Expression profiling in tumors:
IHC studies have detected CD63 in various cancers including lung cancer, melanoma, and epithelial carcinomas
CD63 was found to be identical to the ME491 antigen expressed by melanoma cells
The search results mention successful staining of human lung cancer tissue using the MAB50482 antibody at 0.3 μg/mL
Correlation with clinical parameters:
CD63 antibodies enable quantification of expression levels for correlation with:
Tumor stage and grade
Metastatic potential
Patient prognosis
Treatment response
Functional studies in cancer cells:
Targeting CD63-positive cancer cells:
The search results describe the CD63-1 aptamer with medium-high binding affinity (Kd ~100 nM) that specifically targets CD63-overexpressing cancer cells like MDA-MB-231 breast cancer cells
This moderate affinity may provide an advantage by preferentially targeting high-expression cancer cells while sparing normal cells with low CD63 expression
CD63 as a cancer biomarker:
CD63 antibodies are used in liquid biopsy approaches to detect cancer-derived exosomes
Multiplex staining with CD63 and other markers can characterize tumor heterogeneity
Methodological considerations include selecting antibodies validated for specific cancer applications and optimizing staining protocols for each tumor type.
Flow cytometry is a powerful technique for analyzing CD63 expression in single cells. For optimal results:
Sample preparation optimization:
For surface CD63: Use live cells or gentle fixation without permeabilization
For total CD63: Fix cells with paraformaldehyde (PFA) and permeabilize with saponin or specialized buffers like FlowX FoxP3/Transcription Factor Fixation & Perm Buffer Kit
Cell detachment method matters: The search results note that trypsinization doesn't reduce CD63 epitope detection (mean fluorescence intensity was 87.00 for EDTA-detached cells vs. 110.51 for trypsin-detached cells)
Antibody selection and titration:
Fluorochrome considerations:
For direct detection, use pre-conjugated antibodies (PE, FITC)
For amplified signal, use primary antibodies with fluorescent secondary antibodies
Consider spectral overlap when designing multicolor panels
Controls and validation:
Analytical approaches:
For activation studies: Compare CD63 mean fluorescence intensity before and after stimulation
For heterogeneous populations: Use CD63 in combination with lineage markers
For exosome analysis: Couple exosomes to beads for enhanced detection
The search results specifically mention successful detection of CD63 in PBMCs using flow cytometry with appropriate fixation and permeabilization for intracellular staining .
CD63 exists in multiple functional states depending on cellular activation, localization, post-translational modifications, and protein-protein interactions. Advanced approaches to distinguish these states include:
Activation-state specific detection:
Conformation-dependent antibodies:
Post-translational modification detection:
Protein complex analysis:
Subcellular localization:
Immunofluorescence with compartment markers can distinguish between:
Lysosomal CD63
Plasma membrane CD63
Exosomal CD63
Super-resolution microscopy can provide detailed localization information
These approaches enable researchers to connect specific CD63 states with distinct biological functions, providing deeper insights into tetraspanin biology across health and disease contexts.