CD31 rMABs are produced via in vitro expression systems, where DNA sequences encoding antibody variable regions are cloned from immunoreactive rabbits or mice. These antibodies combine the precision of monoclonal technology with the versatility of recombinant engineering, enabling tailored epitope targeting and reduced batch-to-batch variability .
Feature | Details |
---|---|
Isotype | IgG1 (mouse) or IgGκ (rabbit) |
Epitope Target | N-terminal Ig-like domains of CD31 (homophilic binding regions) |
Species Reactivity | Human, mouse, or cross-reactive (e.g., rabbit models) |
Applications | Western blotting (WB), immunoprecipitation (IP), immunohistochemistry (IHC), immunofluorescence (IF), flow cytometry (FACS) |
CD31 rMABs modulate CD31’s dual roles in adhesion and signaling:
Cell-Cell Adhesion: Binds to the N-terminal Ig-like domain to disrupt or enhance homophilic interactions between endothelial cells and leukocytes .
Immunoregulation: Engages intracellular immunoreceptor tyrosine inhibitory motifs (ITIMs) to suppress T-cell and macrophage activation .
Atherosclerosis: CD31 agonists (e.g., synthetic peptides) promote arterial healing by modulating leukocyte infiltration and endothelial repair .
Tumor Angiogenesis: High CD31 expression correlates with aggressive tumor growth, making it a biomarker for anti-angiogenic therapies .
CD31 rMABs are employed across diverse experimental platforms:
Atherosclerosis Models: CD31 rMABs in murine studies revealed altered leukocyte CD31 expression during acute coronary syndromes, suggesting therapeutic potential for agonists .
Tumor Microenvironment: High CD31 staining in vascular endothelial cells correlates with increased angiogenesis and poor prognosis in solid tumors .
Mechanistic Insights: CD31 ligation by rMABs induces detachment signals in viable leukocytes, preventing macrophage-mediated phagocytosis .
Dynamic Localization: CD31 redistributes to membrane microdomains under mechanical stress, complicating consistent epitope accessibility .
Proteolytic Shedding: Soluble CD31 fragments may hinder therapeutic targeting over time .
CD31 remains a promising target for cardiovascular and oncological therapies:
Atherosclerosis: CD31 agonist peptides enhance arterial repair in murine models, while stent-bound peptides improve vascular integration in pigs .
Immunotherapy: CD31 ITIM engagement suppresses autoimmune responses, offering a pathway for modulating T-cell activation .
CUSABIO has cloned the DNA sequence encoding the CD31 monoclonal antibody into a plasmid and subsequently transfected it into a cell line for expression. The product has been purified using an affinity-chromatography method, resulting in the recombinant CD31 monoclonal antibody. This antibody is classified as rabbit IgG and is recommended for the detection of human CD31 protein in ELISA, WB, IHC, and FC applications.
CD31, also known as PECAM1, plays a crucial role in endothelial cell tight junctions, leukocyte trafficking, and immunological responses through its homophilic and heterophilic binding patterns. It also participates in vasculogenesis and angiogenesis, acting as a key mediator of transendothelial migration (TEM).
CD31 (also known as PECAM-1) is a 130kDa transmembrane glycoprotein belonging to the immunoglobulin superfamily of cell adhesion molecules. It functions as an inhibitory coreceptor involved in regulating T cell and B cell signaling through dual immunoreceptor tyrosine-based inhibitory motifs (ITIMs). CD31 is expressed ubiquitously within the vascular compartment, primarily at junctions between adjacent endothelial cells, and serves as a specific marker for endothelial differentiation . Its significance in vascular research stems from its multifunctional nature, with diverse roles in integrin-mediated cell adhesion, transendothelial migration of leukocytes, angiogenesis, apoptosis, negative regulation of immunoreceptor signaling, and thrombosis . Additionally, CD31 expression levels can help determine the degree of tumor angiogenesis, with high expression potentially indicating rapidly growing tumors and serving as a predictor of tumor recurrence .
CD31 recombinant monoclonal antibodies are produced using in vitro expression systems through a sophisticated process that begins with cloning specific antibody DNA sequences from immunoreactive rabbits or mice. The expression systems are developed specifically for the production of these antibodies, and individual clones undergo rigorous screening to select the best candidates for production . The process typically involves:
Identification of immunoreactive host animals
Isolation of B cells producing antibodies against CD31
Sequencing of antibody-producing genes
Cloning these sequences into expression vectors
Transfection into production cell lines
Screening of resultant antibody clones for specificity and sensitivity
Large-scale production of selected clones
Purification and quality control testing
This approach differs significantly from traditional hybridoma techniques and offers numerous advantages for research applications .
Recombinant CD31 monoclonal antibodies offer several distinct advantages over traditional monoclonal antibodies:
Enhanced specificity and sensitivity: The recombinant production process allows for selection of clones with optimal binding characteristics, resulting in more precise target recognition and reduced background .
Consistent lot-to-lot performance: Because these antibodies are produced in controlled in vitro systems rather than animals, their production characteristics remain highly stable between manufacturing batches, ensuring more reproducible experimental results .
Animal origin-free formulations: Many recombinant antibody preparations are completely animal-component free, eliminating concerns about potential contaminants from animal sources and simplifying regulatory compliance for translational research .
Broader immunoreactivity: The larger immune repertoire of rabbits compared to traditional mouse antibody production systems enables development of antibodies with recognition capabilities across more diverse epitopes and sometimes across multiple species .
Improved stability: Recombinant antibodies often demonstrate superior shelf-life and stability during storage and experimental use.
CD31 antibodies specifically target cell membrane-associated CD31/PECAM-1 and are effective for identifying numerous structures and cell types:
Endothelial cells: CD31 is highly expressed on endothelial cells lining blood vessels, making these antibodies excellent markers for vascular structures in tissues .
Endothelial junctions: CD31 is concentrated at intercellular junctions between adjacent endothelial cells .
Hematopoietic and immune cells: CD31 is expressed on platelets, monocytes, neutrophils, natural killer cells, and certain T-cell populations .
Vascular tumors: CD31 antibodies can identify both benign and malignant endothelial cells in angiosarcomas with greater consistency than some other vascular markers .
Tumor blood vessels: These antibodies enable visualization and quantification of tumor vasculature, aiding assessment of angiogenesis in cancer research .
Lateral border recycling compartment (LBRC): CD31 plays a critical role in this structure, which is essential for leukocyte transendothelial migration .
When employing CD31 antibodies for tumor angiogenesis quantification, researchers should consider several methodological factors to ensure robust and reproducible results:
Antibody clone selection: Different CD31 antibody clones may have varying sensitivities for detecting tumor vasculature. Clones like JC70 have demonstrated superior capabilities for evaluating tumor angiogenesis compared to some other vascular markers .
Tissue processing protocol standardization: Fixation time, processing methods, and antigen retrieval techniques must be standardized across all samples to ensure comparable staining intensity and pattern recognition.
Microvessel density (MVD) quantification approach: Establish clear criteria for what constitutes a countable vessel (e.g., any CD31-positive cell or cell cluster separate from adjacent vessels). The methodology should include:
Identification of vascular hotspots at low magnification
Vessel counting in multiple high-power fields
Averaging of counts across fields and specimens
Use of digital image analysis software for objectivity
Distinction between tumor and normal vasculature: CD31 positivity alone cannot differentiate tumor-associated vessels from pre-existing normal vasculature. Consider combining CD31 with other markers (e.g., αVβ3 integrin) for more specific identification of newly formed tumor vessels.
Correlation with clinicopathological parameters: The level of CD31 expression can help determine the degree of tumor angiogenesis, and high levels may indicate rapidly growing tumors and potentially predict tumor recurrence .
Optimal protocols for CD31 antibody usage vary by application and specific clone. Based on manufacturer recommendations and research practices:
Expected molecular weight: 130 kDa (note: observed MW may differ from calculated MW of 83 kDa due to post-translational modifications)
Sample preparation should include membrane fraction enrichment for optimal results
Antigen retrieval methods: Heat-induced epitope retrieval in citrate buffer (pH 6.0) or EDTA buffer (pH 8.0)
Incubation time: Typically 30-60 minutes at room temperature or overnight at 4°C
Titration is essential for determining optimal concentration for specific experimental conditions
Use appropriate isotype controls to establish gating strategies
The WM59 clone has been validated for ICC/IF applications with human samples
Include appropriate controls to distinguish specific staining from background fluorescence
When encountering inconsistent CD31 staining in tissue sections, consider the following troubleshooting approaches:
Fixation issues:
Over-fixation may mask CD31 epitopes; limit fixation time with formalin to 24-48 hours
Under-fixation can lead to tissue degradation and loss of antigenicity
Try alternative fixatives if formalin-fixed tissues yield poor results
Antigen retrieval optimization:
Test both heat-induced epitope retrieval (HIER) and enzymatic retrieval methods
Vary pH conditions (citrate buffer pH 6.0 vs. EDTA buffer pH 8.0-9.0)
Adjust retrieval time and temperature parameters
Antibody dilution titration:
Perform a systematic dilution series to identify optimal antibody concentration
Excessive antibody concentration can increase background staining
Too dilute antibody may yield false-negative results
Block optimization:
Use species-appropriate blocking sera to reduce non-specific binding
Consider specialized blocking reagents for tissues with high endogenous biotin or peroxidase activity
Extend blocking times for problematic tissues
Detection system selection:
Polymer-based detection systems may offer improved sensitivity compared to traditional avidin-biotin systems
Tyramide signal amplification can enhance detection of low-abundance CD31 in poorly vascularized tissues
Consider fluorescent detection for multiplex applications or when background is problematic
Tissue-specific considerations:
CD31 epitope preservation varies between tissue types; lung and kidney typically show robust staining
Necrotic or hypoxic tumor regions may show altered CD31 expression
Decalcification of bone specimens can negatively impact CD31 antigenicity
CD31 plays a critical role in leukocyte transendothelial migration (TEM), making CD31 antibodies valuable tools for studying this process. Methodological approaches include:
In vitro transmigration assays:
Endothelial monolayers grown on permeable supports (Transwell)
Pre-treatment of endothelial cells with inflammatory cytokines to upregulate adhesion molecules
Application of CD31 antibodies to block homophilic interactions or as detection reagents
Quantification of migrated leukocytes by flow cytometry or microscopy
Live-cell imaging approaches:
Mechanistic investigations:
Tyrosine-690 in CD31 plays a critical role in TEM and is required for efficient trafficking of PECAM1 to and from the LBRC
This residue is essential for targeting LBRC membrane around migrating leukocytes
CD31 heterophilic interaction with CD177 specifically mediates neutrophil transendothelial migration
Validation controls:
Function-blocking CD31 antibodies to confirm CD31-dependent migration
Comparison with other adhesion molecule blockade (ICAM-1, VCAM-1)
siRNA knockdown of CD31 in endothelial cells as alternative to antibody blocking
CD31 antibodies are valuable tools in cancer research, particularly for studying tumor vasculature and angiogenesis. Key considerations include:
Selection of appropriate antibody clone:
Quantification methodologies:
Microvessel density (MVD) assessment using standardized counting fields
Computer-assisted image analysis for more objective vessel quantification
3D reconstruction techniques for volumetric assessment of vascular networks
Prognostic correlations:
Tumor type considerations:
Therapeutic response assessment:
CD31 staining before and after anti-angiogenic therapy to assess vascular normalization
Combined with perfusion markers to distinguish functional from non-functional vessels
Integration with hypoxia markers to correlate vascular density with tissue oxygenation
CD31 antibody performance varies across different platforms, with specific considerations for each application:
Expected molecular weight: 130 kDa, though calculated MW is 83 kDa
Discrepancy explained by post-translational modifications affecting protein mobility
Sample preparation crucial: membrane enrichment improves detection
Denaturation conditions can affect epitope accessibility
Paraffin-embedded samples require optimization of antigen retrieval
Fresh-frozen tissues may preserve certain CD31 epitopes better than fixed tissues
Signal amplification systems can enhance detection in tissues with low CD31 expression
Chromogenic vs. fluorescent detection offers different advantages for co-localization studies
Direct conjugated antibodies preferred to minimize background and non-specific binding
Cell surface CD31 detection requires gentle cell preparation to preserve membrane integrity
Intracellular CD31 detection necessitates appropriate permeabilization protocols
CD31 antibodies compatible with multiplex IHC/IF when appropriate fluorophores are selected
Sequential staining may be necessary to avoid cross-reactivity in multiplex protocols
Spectral unmixing techniques can improve signal discrimination in complex multiplex panels
The discrepancy between CD31's calculated molecular weight (83 kDa) and its observed molecular weight (130 kDa) in Western blot analysis stems from several factors:
Post-translational modifications:
CD31 undergoes extensive glycosylation, significantly increasing its apparent molecular weight
Phosphorylation at multiple sites, particularly at ITIMs, alters protein mobility
Other modifications may include ubiquitination and proteolytic processing
Sample preparation effects:
Incomplete denaturation can result in aggregates or retained secondary structure
Reduction conditions affect disulfide bonds that may influence protein migration
Sample buffer composition can impact SDS binding and thus apparent molecular weight
Technical considerations:
Gel percentage and type significantly affect protein migration patterns
Running conditions (voltage, temperature) can influence band appearance
Molecular weight markers may not accurately predict migration of heavily modified proteins
As noted in the technical specifications, "the mobility is affected by many factors, which may cause the observed band size to be inconsistent with the expected size. If a protein in a sample has different modified forms at the same time, multiple bands may be detected on the membrane" .
To maintain optimal CD31 antibody performance, researchers should adhere to these storage and handling guidelines:
Storage temperature:
Shipping and temporary storage:
Buffer composition:
Dilution practices:
Use high-quality, filtered buffers for dilutions
Add appropriate carriers (BSA, gelatin) to diluted antibodies to prevent adsorption to tubes
Prepare fresh dilutions for critical applications rather than storing diluted antibody
Contamination prevention:
Use sterile technique when handling antibody vials
Include sodium azide (0.02-0.05%) in working dilutions to prevent microbial growth
Avoid repeated warming of stock vials to room temperature
Robust experimental design with CD31 antibodies requires implementation of appropriate controls:
Positive controls:
Negative controls:
Primary antibody omission to assess secondary antibody specificity
Isotype-matched irrelevant antibodies to evaluate non-specific binding
CD31-negative cell lines (e.g., certain epithelial cell lines)
RNA interference or knockout models where CD31 expression is reduced/eliminated
Technical controls:
Titration series to determine optimal antibody concentration
Multiple fixation/preparation methods comparison
Multiple detection systems assessment
Batch controls across experimental timepoints or conditions
Validation approaches:
Confirmation with multiple CD31 antibody clones recognizing different epitopes
Correlation of protein detection with mRNA expression
Functional validation using blocking antibodies in biological assays
Cross-validation using complementary techniques (e.g., IF, flow cytometry, and WB)
CD31 antibodies have become increasingly valuable tools in stem cell research, with applications spanning identification, isolation, and functional characterization:
Identification of hematopoietic stem cells:
Monitoring endothelial differentiation:
Isolation of endothelial progenitors:
Magnetic or fluorescence-activated cell sorting using CD31 antibodies
Enrichment of vascular progenitors from heterogeneous stem cell populations
Purification of tissue-resident endothelial progenitors for regenerative medicine applications
Functional vascular assessment:
Evaluation of vessel-forming capacity in stem cell-derived tissues
Characterization of vascular network complexity in organoids
Analysis of endothelial-perivascular cell interactions in tissue engineering
Disease modeling:
Assessment of vascular phenotypes in patient-derived stem cell models
Drug screening using CD31 as a readout for vascular effects
Investigation of developmental vascular disorders using stem cell differentiation systems
Recent technological advances have expanded the capabilities of CD31 antibodies in advanced imaging applications:
Super-resolution microscopy compatibility:
Direct conjugation with newer fluorophores optimized for STORM, PALM, or STED microscopy
Enhanced visualization of endothelial junctional complexes below the diffraction limit
Nanoscale distribution analysis of CD31 during leukocyte transendothelial migration
Multiplexed imaging approaches:
Integration with cyclic immunofluorescence (CycIF) for highly multiplexed tissue analysis
Compatibility with mass cytometry imaging (IMC) for simultaneous detection of dozens of markers
Antibody conjugation with DNA barcodes for CODEX multiplexed imaging systems
Intravital imaging applications:
Non-blocking fluorescently labeled CD31 antibodies for in vivo vascular visualization
Reduced antibody size formats (Fab fragments, nanobodies) for improved tissue penetration
Conjugation with near-infrared fluorophores for deeper tissue imaging
3D tissue imaging:
Optimization for whole-organ clearing techniques (CLARITY, iDISCO, CUBIC)
Long-term stability in clearing solutions and compatible mounting media
Software tools for automated vessel network reconstruction and analysis
Functional imaging correlates:
Combined use with perfusion dyes to assess vessel functionality
Integration with hypoxia sensors to correlate vessel patterns with oxygen delivery
Correlation with mechanical sensors to study endothelial mechanobiology