CD31 Recombinant Monoclonal Antibody

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Description

Structure and Production of CD31 Recombinant Monoclonal Antibodies

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 .

FeatureDetails
IsotypeIgG1 (mouse) or IgGκ (rabbit)
Epitope TargetN-terminal Ig-like domains of CD31 (homophilic binding regions)
Species ReactivityHuman, mouse, or cross-reactive (e.g., rabbit models)
ApplicationsWestern blotting (WB), immunoprecipitation (IP), immunohistochemistry (IHC), immunofluorescence (IF), flow cytometry (FACS)

Key advantages over traditional antibodies:

  • Enhanced specificity due to engineered variable regions .

  • Consistent lot-to-lot performance .

  • Reduced immunogenicity in animal models (e.g., rabbit antibodies) .

Functional Roles and Targeting Mechanisms

CD31 rMABs modulate CD31’s dual roles in adhesion and signaling:

  1. Cell-Cell Adhesion: Binds to the N-terminal Ig-like domain to disrupt or enhance homophilic interactions between endothelial cells and leukocytes .

  2. Immunoregulation: Engages intracellular immunoreceptor tyrosine inhibitory motifs (ITIMs) to suppress T-cell and macrophage activation .

Therapeutic implications:

  • 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 .

Applications in Research and Diagnostics

CD31 rMABs are employed across diverse experimental platforms:

CloneIsotypeSpecies ReactivityApplicationsKey References
RM247 (MA5-33063)Rabbit IgGκHumanIHC, IF
A00829 (GenScript)Mouse IgG1MurineWB, IP, FACS
WM59 (ab218)Mouse IgG1HumanICC/IF, Flow Cyt
EPR17260-254 (ab213175)Rabbit IgGHuman/MouseWB, IP, ELISA
89C2 (Cell Signaling)Mouse IgG1HumanWB, IP, IHC, IF

Notable Research Findings:

  • 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 .

Challenges in CD31 Targeting

  • 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 .

Therapeutic Potential and Future Directions

CD31 remains a promising target for cardiovascular and oncological therapies:

  1. Atherosclerosis: CD31 agonist peptides enhance arterial repair in murine models, while stent-bound peptides improve vascular integration in pigs .

  2. Immunotherapy: CD31 ITIM engagement suppresses autoimmune responses, offering a pathway for modulating T-cell activation .

Unresolved Questions:

  • Agonist vs. Antagonist: Early antibody studies misinterpreted CD31’s role as adhesive vs. signaling, necessitating further mechanistic clarity .

  • Biomarker Utility: CD31 expression levels in leukocytes may predict disease progression in atherosclerosis and cancer .

Product Specs

Buffer
Rabbit IgG in phosphate buffered saline, pH 7.4, 150mM NaCl, 0.02% sodium azide and 50% glycerol.
Description

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).

Form
Liquid
Lead Time
Generally, we can ship the products within 1-3 business days after receiving your order. The delivery time may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery times.
Synonyms
PECAM1; Platelet endothelial cell adhesion molecule; PECAM-1; EndoCAM; GPIIA'; PECA1; CD antigen CD31
Target Names
Uniprot No.

Target Background

Function
CD31 is a cell adhesion molecule essential for leukocyte transendothelial migration (TEM) under most inflammatory conditions. Tyrosine residue 690 (Tyr-690) plays a critical role in TEM, being required for efficient trafficking of PECAM1 to and from the lateral border recycling compartment (LBRC). Tyr-690 is also essential for targeting the LBRC membrane around migrating leukocytes. Trans-homophilic interactions may contribute to endothelial cell-cell adhesion via cell junctions. Heterophilic interactions with CD177 are involved in the transendothelial migration of neutrophils. Homophilic ligation of PECAM1 prevents macrophage-mediated phagocytosis of neighboring viable leukocytes by transmitting a detachment signal. Conversely, it promotes macrophage-mediated phagocytosis of apoptotic leukocytes by tethering them to phagocytic cells; the PECAM1-mediated detachment signal appears to be disabled in apoptotic leukocytes. CD31 modulates bradykinin receptor BDKRB2 activation and regulates bradykinin- and hyperosmotic shock-induced ERK1/2 activation in endothelial cells. It induces susceptibility to atherosclerosis but does not provide protection against apoptosis.
Gene References Into Functions
  1. High CD31 expression is associated with Central Giant Cell Granuloma. PMID: 30139237
  2. TNF-alpha and IL-10 treatment can affect the expression of ICAM-1 and CD31 in human coronary artery endothelial cells. PMID: 29949812
  3. High CD31 expression is associated with early-stage, but not in late-stage, laryngeal squamous cell carcinoma. PMID: 29523110
  4. Adenocarcinomas showed significantly higher staining scores of both VEGF and alphaSMA than squamous cell carcinomas did. In 42 cases of high CD31 score, five-year survival rate (87%) of patients with lung cancer showing mature tumor vessels was significantly better than that (69%) of patients with immature tumor vessels PMID: 29970531
  5. Differences in trafficking of CD31(+) cytotoxic T lymphocytes during acute influenza infection could modulate tolerance and contribute to a dampened adaptive immune response in neonates PMID: 28355204
  6. Cell adhesion assays on wildtype and mutant PECAM-1 further characterized the structural determinants in cell junction and communication. PMID: 27958302
  7. In primary hip OA, angiogenesis may be induced by a combined mechanism: hypoxia-related VEGF-dependent vasculogenesis and endothelial differentiation of the activated pluripotent cells, which are released from the hyperplastic synovial cells layer. An endothelial mesenchymal transition is assumed to be involved in the fibrotic process. PMID: 27704157
  8. Upregulation of sVEGFR-1 with concomitant decline of PECAM-1 and sVEGFR-2 levels in preeclampsia compared to normotensive pregnancies, irrespective of the HIV status PMID: 28609170
  9. Increased expression of PECAM-1, ICAM-3, and VCAM-1 in colonic biopsies from patients with inflammatory bowel disease (IBD) in clinical remission is associated with subsequent flares; this suggests that increases in the expression of these proteins may be early events that lead to flares in patients with IBD. PMID: 27552332
  10. PECAM-1 gene polymorphisms are associated with Kawasaki disease with and without coronary artery lesions in Chinese children. PMID: 28512385
  11. Sirt1 expression is associated with CD31 expression in endothelial progenitor cells from patients with chronic obstructive pulmonary disease. PMID: 27784320
  12. We found a significant cumulative contribution of the genetic heterogeneity of glycoproteins Ia and IIIa and platelet-endothelial cell adhesion molecule-1 and P-Selectin genes in the risk of recurrent IVF-ET failures. The coexistence of these SNPs was associated with increased IVF-ET failure risk and the more polymorphic alleles or genotypes were present the higher the risk of IVF-ET failure, especially for younger women PMID: 28388872
  13. Dimer conformation of soluble PECAM-1 PMID: 27270333
  14. RrgA binds both polymeric immunoglobulin receptor (pIgR) and PECAM-1, whereas the choline binding protein PspC binds, but to a lower extent, only pIgR PMID: 28515075
  15. This study shows a significant role for CD31 during T cell development PMID: 28159903
  16. Cells in high glucose for 7 days showed a significant decrease in mRNA expression of CD31 and VE-cadherin, and a significant increase in that of alpha-SMA and collagen I. PMID: 28347704
  17. Patients who had optic neuritis that progressed to multiple sclerosis had a decrease in serum PECAM-1 levels. PMID: 27806869
  18. Platelet endothelial cell adhesion molecule (PECAM-1) is expressed in endothelial cells (ECs), platelets, and leukocytes, regulating the interaction between those cells. PMID: 27079772
  19. Data indicate no association of maternal or fetal ITGA2 C807T SNP, ITGB3 T1565C SNP, PECAM1 CTG - GTG and SELP A/C polymorphisms with fetal growth restriction (FGR). PMID: 28358707
  20. These data suggest that a sialic acid-containing glycan emanating from Asn-25 reinforces dynamic endothelial cell-cell interactions by stabilizing the PECAM-1 homophilic binding interface. PMID: 27793989
  21. Decreased FoxP3 expression in CD31(+) Tr cells. PMID: 27997991
  22. These results suggested that PECAM-1 could mediate platelet adhesion to endothelial cells under shear stress. Platelets binding to endothelial cells interfered with endothelial cell mechanotransduction through PECAM-1, affecting endothelial cell inflammatory responses towards pathological shear flow. PMID: 28013181
  23. Immunohistochemical expression of CD31 and vascular endothelial growth factor (VEGF) were assessed in parallel. PMID: 27270504
  24. CD31 is expressed in mycosis fungoides (MF) skin biopsies, which provides new evidence for the role of angiogenesis in the progression of MF PMID: 27630298
  25. The Leu125Val polymorphism of PECAM-1 and the level of soluble PECAM-1 are not associated with diabetic nephropathy in Caucasians with type 2 diabetes mellitus. PMID: 28116228
  26. We provide the first report that pro-angiogenic genes PECAM1, PTGS1, FGD5, and MCAM may play a vital role in pathological dermal angiogenesis disorders of psoriasis. PMID: 26748901
  27. The PECAM-1 functions as an adhesive stress-response protein to both maintain endothelial cell junctional integrity and speed restoration of the vascular permeability barrier following inflammatory or thrombotic challenge. PMID: 27055047
  28. These studies indicate a role for PECAM-1 in enhancing the inhibitory functions of TGF-beta in T cells PMID: 26956486
  29. PECAM1 plays an important role in the formation of tight junction complex. PMID: 26607202
  30. The most significant associations were detected for PECAM1*V/V + DDAH1*C (OR = 4.17 CI 1.56-11.15 Pperm = 0.005) PMID: 26662939
  31. Soluble CD38 (sCD38) in seminal plasma increases the capacitation of sperm via specific interactions between sCD38 and the CD31 on the sperm. PMID: 26407101
  32. Expression levels of CD31/ PECAM1 are deregulated in human glioblastoma multiforme tissue specimens; correlation among CD31/PECAM1 and HIF-1alpha and N-cadherin and ADAM-10, two other markers of aggressiveness in the same tumors PMID: 26376118
  33. Radiation-induced stress conditions induce a transient accumulation of granulocytes within the liver by down-regulation/absence of PECAM-1. PMID: 26177067
  34. Suggest that CD31 expression correlates with prognosis in gastrointestinal stromal tumors. PMID: 26078569
  35. PECAM-1 125C/G polymorphism is associated with deep vein thrombosis. PMID: 25846278
  36. Heterogeneity was found in the endothelial cells: their shape, the expression of adhesion molecules(ICAM-1, VCAM-1, and PECAM ), and the adhesion of lymphocytes and monocytes to them changed during the progression of the atherosclerotic process. PMID: 26841644
  37. PECAM1+ melanoma cells form vascular channels PMID: 25335460
  38. Low shear stress can induce inflammatory response via PECAM-1/PARP-1/HMGB1 pathway. PMID: 25793984
  39. Nck promoted oxidative stress-induced activation of NF-kappaB by coupling the tyrosine phosphorylation of PECAM-1 (platelet endothelial cell adhesion molecule-1) to the activation of p21-activated kinase PMID: 25714462
  40. PECAM-1 has a role in mediating the profibrotic and prometastasic environment caused by ethanol in endothelial cells PMID: 24734240
  41. Report correlation between mast cell tryptase and CD31 expression in odontogenic tumors. PMID: 26247531
  42. There are associations between various PECAM-1 polymorphisms in rheumatoid arthritis and systemic lupus erythematosus patients, and PECAM-1 polymorphisms in SLE are protective against atherosclerotic complications PMID: 25201689
  43. Preeclampsia does not significantly affect vascular growth or the expression of endothelial junction proteins in human placentas PMID: 25362142
  44. C-CD31 have impaired angiogenic potential and the number of circulating CD31(+) cells were correlated with cardiovascular disease risk PMID: 25267411
  45. Demonstrate a functional link between HO-1 gene expression and PECAM-1 in endothelial cells, which might play a critical role in the regulation of inflammation PMID: 24500083
  46. The positive correlation is established between content of polymorphic nuclear monocytes and level of expression of molecules of LFA-1, ICAM-1, LFA-3, and PECAM-1. PMID: 25884075
  47. High CD31 expression associated significantly with better survival and VEGFR3 had no association with survival. Both higher tumor grade and stage were associated with a decreased survival time PMID: 25667475
  48. Suggest that cell confluence and the type of flow are critical independent factors in the induction of TF and PECAM-1 phosphorylation in endothelial cells exposed to disturbed pulsatile flow and chemical stimuli. PMID: 24342062
  49. The finding that the adhesive properties of PECAM-1 are regulatable suggests novel approaches for controlling endothelial cell migration and barrier function in a variety of vascular permeability disorders. PMID: 24936065
  50. For the cytological diagnosis of angiosarcomas, ERG and CD31 are more sensitive vascular markers than CD34 PMID: 25352641

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Database Links

HGNC: 8823

OMIM: 173445

KEGG: hsa:5175

UniGene: Hs.376675

Subcellular Location
Cell membrane; Single-pass type I membrane protein.; [Isoform Long]: Cell membrane; Single-pass type I membrane protein. Membrane raft. Cell junction.; [Isoform Delta15]: Cell junction. Note=Localizes to the lateral border recycling compartment (LBRC) and recycles from the LBRC to the junction in resting endothelial cells.
Tissue Specificity
Expressed on platelets and leukocytes and is primarily concentrated at the borders between endothelial cells. Expressed in human umbilical vein endothelial cells (HUVECs) (at protein level). Expressed on neutrophils (at protein level). Isoform Long predom

Q&A

What is CD31 and why is it significant in vascular research?

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 .

How are CD31 recombinant monoclonal antibodies produced?

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 .

What are the key advantages of recombinant monoclonal antibodies for CD31 detection?

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.

Which cellular structures and cell types can be effectively identified using CD31 antibodies?

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 .

What methodological considerations are important when using CD31 antibodies for quantitative analysis of tumor angiogenesis?

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 .

What are the optimal dilutions and protocols for using CD31 antibodies across different applications?

Optimal protocols for CD31 antibody usage vary by application and specific clone. Based on manufacturer recommendations and research practices:

Western Blotting (WB):

  • Recommended dilution range: 1:1000-1:5000

  • 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

  • Verified samples: Jurkat cell lysates

Immunohistochemistry for Paraffin-embedded tissues (IHC-P):

  • Recommended dilution range: 1:20-1:100

  • Antigen retrieval methods: Heat-induced epitope retrieval in citrate buffer (pH 6.0) or EDTA buffer (pH 8.0)

  • Verified samples: Human lung cancer tissues

  • Incubation time: Typically 30-60 minutes at room temperature or overnight at 4°C

Flow Cytometry:

  • Recommended clone for human samples: WM59

  • Titration is essential for determining optimal concentration for specific experimental conditions

  • Use appropriate isotype controls to establish gating strategies

Immunofluorescence/Immunocytochemistry:

  • The WM59 clone has been validated for ICC/IF applications with human samples

  • Include appropriate controls to distinguish specific staining from background fluorescence

How can researchers troubleshoot inconsistent CD31 antibody staining in tissue sections?

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

How can CD31 antibodies be utilized in studies of leukocyte transendothelial migration?

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:

    • Co-culture of fluorescently labeled leukocytes with endothelial monolayers

    • Real-time visualization of CD31 redistribution during TEM using fluorescently tagged CD31 antibodies

    • Analysis of CD31 clustering at the lateral border recycling compartment (LBRC)

  • 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

What are the considerations for using CD31 antibodies in cancer research and angiogenesis studies?

CD31 antibodies are valuable tools in cancer research, particularly for studying tumor vasculature and angiogenesis. Key considerations include:

  • Selection of appropriate antibody clone:

    • The JC70 clone has demonstrated superior capability for evaluating tumor angiogenesis and angiosarcoma compared to anti-FVIII-Reg antibodies

    • Recombinant versions offer improved consistency across experiments

  • 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:

    • High levels of CD31 expression may indicate rapidly growing tumors

    • CD31 expression patterns can potentially predict tumor recurrence

    • Correlation with other angiogenic markers (VEGF, CD105) provides more comprehensive angiogenic profiling

  • Tumor type considerations:

    • CD31 stains endothelial cells in both benign and malignant scenarios

    • Staining of non-vascular tumors (excluding hematopoietic neoplasms) is rare

    • Different tumor types exhibit varying vascular patterns requiring adjusted analysis parameters

  • 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

How does CD31 antibody performance compare across different immunoassay platforms?

CD31 antibody performance varies across different platforms, with specific considerations for each application:

Western Blotting:

  • 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

Immunohistochemistry:

  • 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

Flow Cytometry:

  • 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

Multiplex Immunoassays:

  • 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

Why might CD31 appear at different molecular weights in Western blot analysis?

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" .

What storage and handling precautions ensure optimal CD31 antibody performance?

To maintain optimal CD31 antibody performance, researchers should adhere to these storage and handling guidelines:

  • Storage temperature:

    • Store at -20°C for long-term preservation

    • Avoid repeated freeze-thaw cycles that can degrade antibody quality

    • Aliquot antibodies upon receipt to minimize freeze-thaw events

  • Shipping and temporary storage:

    • Shipment typically occurs with ice packs

    • Upon receipt, immediately transfer to recommended storage temperature

    • Short-term storage at 4°C (1-2 weeks) is generally acceptable for antibodies in use

  • Buffer composition:

    • Typical formulation includes:

      • 50mM Tris-Glycine (pH 7.4)

      • 0.15M NaCl

      • 40% Glycerol

      • 0.05% stabilizer and protective protein

    • Buffer components help maintain antibody stability and prevent degradation

  • 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

What controls are essential when using CD31 antibodies in experimental designs?

Robust experimental design with CD31 antibodies requires implementation of appropriate controls:

  • Positive controls:

    • Known CD31-expressing tissues/cells:

      • Human umbilical vein endothelial cells (HUVECs)

      • Human lung or kidney sections (rich in vessels)

      • Jurkat cells for Western blot applications

    • Verify antibody functioning under your specific experimental conditions

  • 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)

How are CD31 antibodies being utilized in stem cell research?

CD31 antibodies have become increasingly valuable tools in stem cell research, with applications spanning identification, isolation, and functional characterization:

  • Identification of hematopoietic stem cells:

    • CD31 is expressed by stem cells of the hematopoietic system

    • CD31 antibodies are used to identify and concentrate these cells for experimental studies and bone marrow transplantation

    • Flow cytometric analysis using CD31 as part of stem cell immunophenotyping panels

  • Monitoring endothelial differentiation:

    • CD31 serves as a specific marker of endothelial differentiation

    • Antibodies enable tracking of stem cell differentiation toward endothelial lineages

    • Quantitative assessment of differentiation efficiency in various culture conditions

  • 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

What are the latest developments in CD31 antibody technology for advanced imaging applications?

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

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