Epcam Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
Epithelial cell adhesion molecule (Ep-CAM) (Epithelial glycoprotein 314) (EGP314) (mEGP314) (Protein 289A) (Tumor-associated calcium signal transducer 1) (CD antigen CD326), Epcam, Tacstd1
Target Names
Uniprot No.

Target Background

Function
EpCAM, also known as epithelial cell adhesion molecule, plays a crucial role in maintaining the integrity of epithelial tissues. It acts as a homophilic interaction molecule between intestinal epithelial cells (IECs) and intraepithelial lymphocytes (IELs) at the mucosal epithelium, forming a crucial first line of defense against mucosal infections. Moreover, EpCAM is involved in the proliferation and differentiation of embryonic stem cells, upregulating the expression of key genes like FABP5, MYC, and cyclins A and E.
Gene References Into Functions
  1. EpCAM mRNA expression, a marker of potential hepatic stem-like cells, is regulated by LEF1, which is in turn controlled by CLOCK. PMID: 29958886
  2. EpEX/EpCAM, when combined with Oct4 or Klf4, can reprogram fibroblasts into induced pluripotent stem cells (iPSCs). PMID: 28157205
  3. Extracellular vesicles are found in the intestinal tract, specifically associated with the epithelial cell adhesion molecule. PMID: 27721471
  4. EpCAM-expressing proliferating ductal cells (PDC) are a potential cellular origin of hepatocellular carcinoma (HCC), indicating the involvement of stem/progenitor cells in hepatocarcinogenesis. PMID: 28951464
  5. The activation of hepatic H19RNA promotes cholestatic liver fibrosis through the ZEB1/EpCAM signaling pathway. PMID: 28407375
  6. EpCAM is a substrate of matriptase, linking HAI-2, matriptase, EpCAM, and claudin-7 in a functionally important pathway that contributes to disease when dysregulated. PMID: 28094766
  7. EpCAM differentially regulates Langerhans cell mobility/migration in varying inflammatory conditions, with different effects in limited inflammation compared to intense inflammation triggered by contact sensitizers. PMID: 27106675
  8. A knock-down EpCAM cell model of congenital tufting enteropathy was developed, along with an in vivo inducible mouse model resulting in a mutant EpCAM protein. PMID: 25482158
  9. Sox9(+)EpCAM(-) cells, besides converting to cholangiocyte-like cells, contribute to luminal space near expanded ductular structures, preventing deterioration of injuries and potentially supplying new hepatocytes for tissue repair. PMID: 24482234
  10. EpCAM is a highly conserved protein found in various vertebrates, including fishes, amphibians, reptiles, birds, marsupials, and placental mammals. It undergoes shedding, gamma-secretase-dependent regulated intramembrane proteolysis, and proteasome-mediated degradation. PMID: 24009667
  11. EpCAM plays a crucial role in intestinal epithelial structure and integrity, with mutations leading to congenital tufting enteropathy. PMID: 24337010
  12. mTrop1/Epcam knockout mice develop congenital tufting enteropathy through dysregulation of intestinal E-cadherin/beta-catenin. PMID: 23209569
  13. EpCAM contributes to the formation of the intestinal barrier by recruiting claudins to cell-cell junctions. PMID: 22819673
  14. EpCAM expression is directly linked to Langerhan cell (LC) motility/migration, and this migration is further connected to immune regulation. PMID: 22411813
  15. SSCs (spermatogonial stem cells) are concentrated in the CD9(+)EPCAM(low/-) population, indicating the significant role of EPCAM in progenitor cell amplification within the mouse spermatogenic system. PMID: 21858196
  16. EpCAM is implicated in the pathogenesis of lung cancer. PMID: 21535318
  17. EpCAM is essential for the differentiation or survival of parietal trophoblast giant cells, normal development of the placental labyrinth, and establishment of a functional maternal-fetal circulation. PMID: 20046825
  18. Analysis of EpCAM expression in normal, non-pathological tissues. PMID: 17981779
  19. The spatiotemporal expression pattern of EpCAM changes during nephrogenesis. PMID: 18025791
  20. EpCAM, in tumor cell lines of colorectal and lung cancer, is involved in signal transduction, triggering various intracellular signaling pathways. PMID: 19002182
  21. EpCAM(+) cells isolated from injured liver proliferate to form colonies in vitro, and these expanded cells differentiate into hepatocytes and cholangiocytes. This suggests that the oval cell fraction contains potential hepatic stem cells (HSCs). PMID: 19429791
  22. The expression of EpCAM and DLK1 provides insights into the developmental pathways of mouse liver progenitors. PMID: 19527784

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Database Links

KEGG: mmu:17075

STRING: 10090.ENSMUSP00000061935

UniGene: Mm.4259

Protein Families
EPCAM family
Subcellular Location
Lateral cell membrane; Single-pass type I membrane protein. Cell junction, tight junction.

Q&A

What is EpCAM and why is it a significant target for antibody development?

EpCAM (Epithelial Cell Adhesion Molecule) is a calcium-independent homophilic intercellular adhesion factor that contributes to cell signaling, differentiation, proliferation, and migration. It is considered essential for carcinogenesis in numerous types of human cancer and is robustly expressed in various epithelial cancers including lung, breast, ovarian, cervical, and colorectal cancers. This widespread expression pattern in cancers makes EpCAM a promising target for both cancer diagnosis and therapeutic interventions. According to GLOBOCAN 2018 data, colorectal cancer (CRC) is the third most commonly occurring cancer worldwide, and EpCAM expression is particularly relevant in this context as a potential treatment target .

What are the primary structural domains of EpCAM that antibodies can target?

EpCAM protein consists of two primary domains that can be targeted by antibodies: the EpCL (EpCAM cleaved domain, amino acids 24-80) and the EpRE (EpCAM membrane residual domain, amino acids 81-265). These domains are formed when EpCAM is cleaved at the Arg 80-Arg 81 position on the cell surface. Research indicates that the EpCL domain more efficiently induces monoclonal antibodies (mAbs) that bind to conformational epitopes presented on the cell surface. Analysis of 72 native-form binding antibodies showed that approximately 66.3% of EpCL-reactive mAbs could bind to native EpCAM on the cell surface, compared to only 5.5% of EpRE-reactive mAbs, suggesting EpCL has higher immunogenicity .

How are EpCAM antibodies typically validated for research applications?

Validation of EpCAM antibodies typically employs multiple complementary techniques to ensure specificity and functionality:

  • Flow cytometry to assess binding to EpCAM-expressing cells versus control cells

  • Western blot analysis to confirm specific binding to EpCAM protein

  • Immunohistochemical analysis to evaluate binding patterns in tissue samples

  • ELISA using recombinant EpCAM proteins

  • Native conformational recognition analysis using unfixed cells

For example, in the development of EpMab-16, validation included testing its reactivity against EpCAM-overexpressing CHO-K1 cells versus parental CHO-K1 cells, as well as testing on colorectal adenocarcinoma Caco-2 cells. The antibody demonstrated specific binding to EpCAM-expressing cells while showing no binding to control cells, confirming its specificity .

What mechanisms of action distinguish different EpCAM antibodies in cancer therapy research?

EpCAM antibodies employ distinct mechanisms for targeting cancer cells, which researchers should consider when selecting antibodies for experimental therapeutics:

Antibody TypeMechanism of ActionExampleKey Characteristics
Conventional mAbsADCC/CDC activationEpMab-16IgG2a that induces strong ADCC and CDC in Caco-2 cells
Signal-inhibiting mAbsDirect apoptosis inductionEpAb2-6Inhibits EpCAM signaling without requiring accessory immune mechanisms
Bispecific mAbsDual targetingCatumaxomabConsists of paired mouse anti-CD3 and rat anti-EpCAM mAbs for targeting both tumor cells and T cells
Antibody conjugatesToxin deliveryOportuzumab monatoxSingle-chain variable fragment conjugated with Pseudomonas exotoxin A

The selection of antibody type should align with research objectives. For instance, EpMab-16 demonstrated significant antitumor activity in a Caco-2 xenograft model through ADCC and CDC mechanisms, making it potentially suitable for colorectal adenocarcinoma targeting .

How do conformational epitopes impact the development and efficacy of EpCAM antibodies?

Conformational epitopes significantly influence EpCAM antibody development and efficacy. Research indicates that many highly effective EpCAM antibodies recognize discontinuous epitopes that depend on the protein's tertiary structure. For example, HO-3 (the EpCAM-binding arm of catumaxomab) recognizes a discontinuous epitope .

The native conformation of EpCAM on the cell surface often differs from recombinant proteins used in ELISA, explaining why some antibodies that perform well in ELISA fail to recognize native EpCAM. In a comprehensive analysis of 377 anti-EpCAM mAb clones, only 72 (19.1%) could recognize the native conformation of EpCAM on unfixed cells, despite all showing reactivity with recombinant EpCAM proteins in ELISA .

This phenomenon appears particularly pronounced with EpRE-reactive antibodies, where only 5.5% recognized native EpCAM, compared to 66.3% of EpCL-reactive antibodies. These findings underscore the importance of screening antibodies against native EpCAM in unfixed cells when developing therapeutically relevant antibodies .

What factors influence the binding affinity of EpCAM antibodies, and how can this be optimized?

Several factors influence the binding affinity of EpCAM antibodies, which can be critical for their research and therapeutic applications:

  • Epitope targeting: Antibodies targeting the EpCL domain generally show better binding to native EpCAM than those targeting EpRE

  • Immunization strategy: Cell-based immunization and screening (CBIS) methods enhance the probability of generating antibodies that recognize native conformational epitopes

  • Antibody subclass: Different IgG subclasses can affect binding characteristics and effector functions

  • Host species: Different host species generate antibodies with distinct properties

For optimization, researchers should consider analyzing dissociation constants (KD) to quantify binding affinity. For example, EpMab-16 demonstrated a KD of 1.8×10^-8 M in Caco-2 colorectal adenocarcinoma cells, indicating moderate binding affinity . Flow cytometry-based binding assays provide a reliable method for determining binding affinity using EpCAM-expressing cell lines rather than recombinant proteins, which may not fully replicate the native conformation .

What are the most effective techniques for generating EpCAM-specific monoclonal antibodies?

The most effective techniques for generating EpCAM-specific monoclonal antibodies include:

  • Cell-Based Immunization and Screening (CBIS): This method, demonstrated in the development of EpMab-16, involves:

    • Immunizing mice with EpCAM-overexpressing cells (e.g., CHO/EpCAM)

    • Multiple immunizations followed by a final booster injection

    • Harvesting spleen cells and fusion with mouse plasma cell myeloma P3U1 cells using PEG1500

    • Hybridoma selection in RPMI-1640 medium with hypoxanthine, aminopterin, and thymidine

    • Screening using flow cytometry to identify antibodies that bind to EpCAM-expressing cells but not control cells

  • Fully Human Antibody Generation:

    • Using transgenic mice (e.g., TC-mAb mice) expressing human antibody genes

    • Multiple screening techniques to identify antibodies with desired characteristics

The CBIS approach is particularly valuable because it selects for antibodies recognizing native conformations of EpCAM as expressed on cell surfaces, which is crucial for therapeutic applications .

What are the optimal methods for validating EpCAM antibody specificity and functionality?

A comprehensive antibody validation strategy should include multiple orthogonal techniques:

Validation MethodPurposeTechnical Considerations
Flow cytometryAssess binding to native EpCAM on live cellsUse both EpCAM-positive and EpCAM-negative cell lines (e.g., CHO/EpCAM vs. CHO-K1; Caco-2 vs. BINDS-16)
Western blottingConfirm binding to denatured EpCAM proteinUse anti-β-actin antibodies as loading controls; appropriate secondary antibodies (HRP-conjugated anti-mouse/rat IgG)
ImmunohistochemistryEvaluate binding patterns in tissue samplesAssess plasma membrane-like staining pattern in clinical samples
ELISA with recombinant proteinsMap epitope regionsCompare binding to different EpCAM domains (e.g., EpEX vs. EpRE)
ICC with unfixed cellsConfirm binding to native conformationCritical for identifying therapeutically relevant antibodies
Binding affinity determinationQuantify interaction strengthFlow cytometry-based KD determination (e.g., EpMab-16: 1.8×10^-8 M)

Researchers should note that antibodies showing strong reactivity in ELISA may not necessarily bind to native EpCAM on cell surfaces, as demonstrated by studies where only 19.1% of ELISA-positive antibodies recognized native EpCAM .

How can researchers effectively assess the therapeutic potential of EpCAM antibodies?

Assessing therapeutic potential requires both in vitro and in vivo experiments:

  • In vitro functional assays:

    • ADCC assay: Measures the ability of antibodies to induce target cell killing by effector cells (typically NK cells or peripheral blood mononuclear cells)

    • CDC assay: Evaluates complement-mediated cytotoxicity using human serum as a complement source

    • Direct cytotoxicity: Assesses whether the antibody directly induces apoptosis or other cell death mechanisms

  • In vivo models:

    • Murine xenograft models using human cancer cell lines (e.g., Caco-2)

    • Treatment regimens typically include multiple antibody administrations

    • Key endpoints include tumor volume/weight, survival time, and toxicity assessment

For example, EpMab-16 demonstrated strong ADCC and CDC induction against Caco-2 cells in vitro. In vivo experiments in a Caco-2 xenograft model showed that EpMab-16 treatment significantly reduced tumor growth compared to control mouse IgG, establishing its potential therapeutic value for EpCAM-expressing colorectal adenocarcinomas .

How does species specificity impact the selection of EpCAM antibodies for preclinical research?

Species specificity is a critical consideration when selecting EpCAM antibodies for preclinical studies. As demonstrated with the G8.8 antibody, which recognizes mouse EpCAM but not human or rat EpCAM, researchers must carefully match antibodies to their experimental systems .

When transitioning from in vitro human cell line studies to in vivo mouse models, researchers have several options:

  • Use humanized mouse models expressing human EpCAM for testing human-specific antibodies

  • Select antibodies with cross-reactivity between species (though these are relatively rare)

  • Use species-specific antibodies appropriate for the model organism (e.g., G8.8 for mouse studies)

The lack of cross-reactivity between species can significantly complicate translational research, requiring careful selection of appropriate antibody clones for each experimental system. Researchers should verify species reactivity through manufacturer documentation or preliminary validation experiments .

What approaches enable evaluation of EpCAM antibody efficacy in complex tumor microenvironments?

Evaluating EpCAM antibody efficacy in complex tumor microenvironments requires sophisticated experimental designs:

  • 3D organoid cultures:

    • Patient-derived organoids maintain EpCAM expression patterns and tumor heterogeneity

    • Allow assessment of antibody penetration and efficacy in three-dimensional structures

    • Enable co-culture with immune cells for ADCC/CDC studies

  • Humanized mouse models:

    • Mice engrafted with human immune system components

    • Particularly valuable for testing antibodies that depend on human immune effector functions

    • Allow evaluation of bispecific antibodies like catumaxomab that engage both tumor and immune cells

  • Multiparameter analysis:

    • Flow cytometry to assess immune cell infiltration and activation

    • Immunohistochemistry to visualize antibody distribution within tumors

    • RNA sequencing to evaluate changes in gene expression profiles

These approaches provide more physiologically relevant information than traditional 2D cell culture or xenograft models alone, and can better predict clinical efficacy of EpCAM-targeting therapeutic antibodies.

How can researchers address epitope masking and antigen heterogeneity in EpCAM antibody applications?

Epitope masking and antigen heterogeneity present significant challenges in EpCAM antibody research:

  • Epitope masking challenges:

    • EpCAM can undergo proteolytic cleavage (at Arg80-Arg81), potentially masking epitopes

    • Glycosylation patterns may differ between cell types, affecting antibody binding

    • Protein-protein interactions may shield epitopes in certain contexts

  • Solutions for researchers:

    • Use antibody cocktails targeting multiple EpCAM epitopes

    • Select antibodies like EpAb2-6 that specifically target the membrane-bound region after cleavage

    • Perform epitope mapping to identify antibodies binding to accessible regions

    • Consider native conformation screening approaches as used in TC-mAb mice studies

  • Addressing heterogeneity:

    • Screen potential antibodies against multiple cell lines representing different cancer types

    • Validate antibodies on primary patient samples to confirm clinical relevance

    • Consider using antibodies targeting the EpCL domain, which shows higher accessibility (66.3% of EpCL-reactive mAbs bind to native EpCAM versus only 5.5% of EpRE-reactive mAbs)

What strategies optimize EpCAM antibody performance in flow cytometry and immunohistochemistry?

Optimizing EpCAM antibody performance requires technique-specific considerations:

For flow cytometry:

  • Cell preparation: Avoid harsh enzymatic dissociation methods that may damage surface EpCAM

  • Fixation: Where possible, use unfixed cells to preserve native EpCAM conformation

  • Antibody concentration: Titrate antibodies to determine optimal concentration

  • Controls: Include isotype controls and EpCAM-negative cell lines

  • Buffer selection: Use buffers containing protein (BSA/FBS) to reduce non-specific binding

For immunohistochemistry:

  • Fixation methods: Compare multiple fixation protocols to determine optimal epitope preservation

  • Antigen retrieval: Test different antigen retrieval methods (heat-induced vs. enzymatic)

  • Detection systems: Secondary antibody-based vs. polymeric systems

  • Counterstaining: Adjust to ensure visualization of membrane-like staining pattern characteristic of EpCAM

When analyzing clinical samples, researchers should note that EpCAM staining typically shows a plasma membrane-like pattern in colorectal adenocarcinoma tissues, as demonstrated with EpMab-16 .

How might advanced antibody engineering enhance EpCAM-targeting therapeutic strategies?

Advanced antibody engineering offers promising avenues for enhancing EpCAM-targeting therapeutics:

  • Antibody-drug conjugates (ADCs):

    • Conjugating anti-EpCAM mAbs with toxins like α-amanitin has shown significant reduction in cell proliferation in pancreatic, colorectal, breast, and bile duct cancer cell lines

    • Novel linker technologies and payload selection can improve therapeutic index

  • Multispecific antibodies:

    • Building upon the success of bispecific antibodies like catumaxomab

    • Trispecific formats that engage multiple immune cell types simultaneously

    • Combination with checkpoint inhibitor targeting domains

  • CAR-T approaches:

    • Using EpCAM-binding domains in chimeric antigen receptors

    • Particularly for solid tumors with high EpCAM expression

    • Engineering approaches to minimize on-target, off-tumor toxicity

The success of these approaches will likely depend on careful epitope selection, as studies show significant differences in native EpCAM recognition between antibodies targeting different domains (EpCL vs. EpRE) .

What considerations should guide the development of standardized protocols for EpCAM antibody characterization?

Standardized protocols for EpCAM antibody characterization should address:

  • Binding characterization:

    • Native conformation testing on unfixed cells as a primary screen

    • Multiple cell lines representing diverse tissue origins

    • Quantitative affinity determination (KD) using flow cytometry

  • Epitope mapping:

    • Distinguishing between EpCL (aa 24-80) and EpRE (aa 81-265) domain binding

    • Conformational versus linear epitope determination

    • Competition assays with known epitope-mapped antibodies

  • Functional assessment:

    • Standardized ADCC assays with defined effector:target ratios

    • CDC protocols with consistent complement sources

    • Direct cytotoxicity evaluation independent of immune mechanisms

  • Reporting standards:

    • Complete disclosure of immunization strategies and screening methodologies

    • Detailed experimental conditions for reproducibility

    • Comprehensive characterization data including species cross-reactivity information

Adopting these standardized approaches would facilitate better comparison between studies and accelerate translation of promising candidates to clinical applications.

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