EPHA6 is a transmembrane tyrosine kinase receptor that binds ephrin-A ligands (A1–A5) . Its extracellular domain includes a globular domain, cysteine-rich motif, and fibronectin type III repeats, while its intracellular region contains a kinase domain and sterile alpha motif (SAM) for signaling . Activation triggers autophosphorylation, enabling downstream signaling pathways critical for processes like axon guidance, neural plasticity, and cancer progression .
The antibody is used in:
Immunohistochemistry (IHC): Detects EPHA6 in tissue sections (e.g., brain, prostate) .
Western Blot (WB): Validates protein expression in cell lysates (e.g., LNCaP prostate cancer cells) .
Flow Cytometry: Analyzes surface expression on live cells (e.g., THP-1 monocytic leukemia cells) .
| Antibody Source | Host Species | Immunogen | Applications |
|---|---|---|---|
| R&D Systems (AF607) | Mouse | Recombinant | WB, IHC |
| Abcam (ab113239) | Rabbit | Synthetic peptide | IHC-P, ICC/IF |
| Thermofisher (BS-7033R) | Rabbit | Native protein | WB, IHC |
| Alomone (AER-016) | Rabbit | Peptide (C)KEHEQLTYSSTRSK | WB, IHC, Flow Cytometry |
EPHA6 is overexpressed in prostate cancer (CaP) tissues compared to benign samples . Knockdown experiments in PC-3M cells reduced invasion, angiogenesis, and metastasis to lymph nodes/lungs . Clinically, high EPHA6 expression correlates with vascular/neural invasion, PSA levels, and TNM staging in CaP patients .
EPHA6 is critical for learning/memory in mice, with deficiency linked to behavioral deficits . Its signaling pathways (e.g., PI3K/AKT) regulate synaptic plasticity and axon regeneration .
EPHA6 promotes tumor angiogenesis by enhancing endothelial tube formation in vitro and microvessel density in vivo .
EPHA6, also known as EHK-2 and HEK12, belongs to the Eph receptor family which binds members of the ephrin ligand family. It functions as a receptor tyrosine kinase that plays crucial roles in:
Neural development including axon guidance, neuron-target interactions, and synaptic functions
Learning and memory formation (genetic inhibition of EPHA6 in mice produces specific behavioral deficits)
Cancer progression and metastasis in several tumor types
EPHA6 is highly expressed in the brain and testis, with reduction in EPHA6 detected in hypospadias, a common defect affecting the growth and closure of external genitalia. The receptor binds promiscuously to GPI-anchored ephrin-A family ligands (ephrin-A1, A2, A3, A4, and A5) residing on adjacent cells, leading to contact-dependent bidirectional signaling .
EPHA6 antibodies differ significantly in their target epitopes, host species, and validated applications:
When selecting an EPHA6 antibody, researchers should consider:
Experimental application (IHC, WB, ELISA, etc.)
Target species compatibility
Epitope location (extracellular vs intracellular domains)
EPHA6 shares the characteristic domain organization of Eph receptors:
Extracellular region:
Globular domain (ephrin binding domain)
Cysteine-rich domain
Two fibronectin type III domains
Transmembrane region
Cytoplasmic region:
The calculated molecular weight of EPHA6 is 116 kDa, and the protein catalyzes the reaction: ATP + [protein]-L-tyrosine = ADP + [protein]-L-tyrosine phosphate . The sterile alpha motif (SAM) domain of EPHA6 can bind to both SAMD5 and SHIP2/Odin SAM domains, unlike some other Eph receptors that exhibit more restricted binding specificity .
For optimal immunohistochemistry with EPHA6 antibodies, consider the following methodology:
Antigen Retrieval:
For formalin-fixed, paraffin-embedded tissues: Use TE buffer pH 9.0 (preferred) or citrate buffer pH 6.0 as alternatives
Dilution Range:
For polyclonal antibody 20211-1-AP: 1:20-1:200 (optimal dilution is sample-dependent)
For anti-EPHA6 extracellular antibody: 1:200
Protocol Elements:
Dewax sections with xylene and rehydrate in descending alcohol series (100%, 95%, 70%)
Block endogenous peroxidase with 0.3% hydrogen peroxide (30 min at 37°C)
Perform antigen retrieval
Block with normal goat serum (1:20) for 30 min at 37°C
Incubate with primary antibody (overnight at 4°C recommended)
Positive Control Tissues:
The validation gallery for specific antibodies should be consulted for reference images and expected staining patterns in different tissues .
Validating EPHA6 antibody specificity requires a multi-faceted approach:
Positive and negative control tissues:
Antibody validation techniques:
Western blot analysis: Confirm single band at ~116 kDa in brain membrane preparations
Peptide competition: Pre-incubate antibody with immunizing peptide to block specific binding
Genetic controls: Use EPHA6 knockout tissues or cells (if available) or EPHA6 siRNA knockdown samples
Cross-reactivity assessment: Test against recombinant proteins of related Eph receptors
Expression correlation:
Application-specific controls:
Thermal shift assays can also help determine binding specificity by measuring protein denaturation curves fitted to the Boltzmann sigmoid equation to obtain melting temperature (Tm) .
Multiple complementary approaches are recommended for comprehensive EPHA6 detection in cancer tissues:
1. Immunohistochemistry (IHC):
Fixed tissues: Use antibodies validated for FFPE sections (e.g., 20211-1-AP at 1:20-1:200 dilution)
Frozen sections: Anti-EphA6 extracellular antibody (AER-016) at 1:200 dilution followed by fluorescent secondary antibody
Evaluate cellular localization patterns (membrane, cytoplasmic, nuclear)
2. mRNA Expression Analysis:
RT-qPCR using validated EPHA6 primers:
Forward: 5′-TTGGAGAAGTCTGTAGTGGG-3′
Reverse: 5′-CTTCTTTGCCGATCCATGTG-3′
Use GAPDH as normalizing control
3. Western Blot Analysis:
Brain membrane preparations serve as positive controls
Human cancer cell lines (PC-3M, LNCaP prostate cancer cells) can be used as reference materials
4. Bioinformatic Analysis:
Utilize public datasets from REMBRANDT and TCGA
Extract Z-scored expression values from cBioPortal
Divide patients into tertiles based on mRNA expression levels
Evaluate correlation with clinical parameters using statistical tools like R software
Substantial evidence connects EPHA6 to cancer progression across multiple tumor types:
Prostate Cancer:
EPHA6 is consistently overexpressed in prostate cancer lymph node metastatic cell lines
Immunohistochemistry shows strong EPHA6 expression in primary prostate cancer tissues compared to minimal detection in adjacent non-tumor tissues
EPHA6 knockdown significantly decreases cancer cell invasion and extracellular matrix degradation in vitro
In vivo studies demonstrate reduced incidence of metastases to local draining lymph nodes and lungs in EPHA6 knockdown models
EPHA6 expression positively correlates with vascular invasion, neural invasion, PSA level, and TNM staging in clinical samples
Breast Cancer:
RT-qPCR and IHC analyses show increased EPHA6 expression in breast cancer tissues compared to adjacent normal tissues
EPHA6 overexpression correlates with clinicopathological parameters in breast cancer patients
Glioma:
EPHA6 physically interacts with BMP type I receptor ALK-2
This interaction sensitizes glioma-initiating cells to specific therapeutic approaches
Mechanism of Action:
EPHA6 promotes angiogenesis through:
Enhanced tube formation of endothelial cells in vitro
Increased microvascular density in tumor tissues
Genome-wide expression analysis in EPHA6 knockdown cells identified differentially regulated genes including PIK3IPA, AKT1, and EIF5A2
These findings identify EPHA6 as a potential novel metastasis gene that positively correlates with cancer progression across multiple types, suggesting its value as a possible therapeutic target in metastatic disease .
EPHA6 expression demonstrates significant correlations with multiple clinical parameters and outcomes:
Prostate Cancer:
EPHA6 mRNA expression is significantly higher in 112 prostate cancer tumor samples compared to benign tissues from 58 benign prostate hyperplasia patients
Positive correlations exist between EPHA6 expression and:
Vascular invasion (p < 0.01)
Neural invasion (p < 0.01)
PSA levels (p < 0.01)
TNM staging (p < 0.01)
Interestingly, no significant correlation was found with Gleason scores, possibly because the samples started from Gleason 6, representing already aggressive disease
Cancer Survival Analysis:
Patient datasets from TCGA Pan-Cancer clinical data reveal:
Uveal Melanoma:
These clinical correlations suggest EPHA6 could serve as both a prognostic biomarker and potential therapeutic target. Research methods for such correlation studies typically involve:
Immunohistochemical scoring of tissue microarrays
RNA expression analysis using RT-qPCR
Statistical correlation with clinical parameters using multivariate analysis
Kaplan-Meier survival curves stratified by expression levels
EPHA6 exhibits significant crosstalk with multiple signaling pathways:
Cancer Signaling Pathways:
BMP Signaling: EPHA6 physically interacts with BMP type I receptor ALK-2 through coimmunoprecipitation experiments
Downstream Effectors: Genome-wide gene expression analysis in EPHA6 knockdown cells identified differentially regulated genes:
Structural Interaction Mechanisms:
EPHA6 SAM domain can bind to both SAMD5 and SHIP2/Odin SAM domains
Specific residues are critical for these interactions:
Ephrin-Based Signaling:
EPHA6 binds promiscuously to GPI-anchored ephrin-A family ligands:
ephrin-A1, ephrin-A2, ephrin-A3, ephrin-A4, and ephrin-A5
Only membrane-bound or Fc-clustered ligands activate the receptor
Soluble monomeric ligands bind but don't induce receptor autophosphorylation
This leads to bidirectional signaling: forward (into EPHA6-expressing cell) and reverse (into ephrin-expressing cell)
Understanding these pathway interactions is crucial for developing targeted therapeutic strategies and explaining the tissue-specific functions of EPHA6 in both neural development and cancer progression .
Kinase-dead (KD) EPHA6 mutants provide powerful tools for distinguishing kinase-dependent and kinase-independent functions:
Construction of Kinase-Dead Mutants:
EPHA6 K757R mutant can be constructed using mutagenesis primers: 5′-GTTGCCATTAGAACTTTGAAA-3′
This design is based on corresponding kinase-dead mutants in other Eph receptors:
EPHA8 K666M
EPHA3 K653R
Experimental Applications:
Comparative signaling studies:
Structure-function analysis:
Dominant-negative approaches:
Thermal shift assays:
The juxtaposition of wild-type and kinase-dead mutants reveals which cellular responses require EPHA6 catalytic activity versus those that depend merely on protein-protein interactions, providing crucial insight into the diverse functions of this receptor in different cellular contexts .
Developing highly specific detection systems for EPHA6 faces several significant challenges:
Structural Homology Challenges:
High sequence homology between Eph family members (especially within A or B subfamilies)
Conserved domains (kinase domain, SAM domain) show particular similarity
Cross-reactivity testing shows ~20-30% cross-reactivity between human and mouse EPHA6 antibodies
Epitope Selection Strategies:
Target unique regions:
Validation requirements:
Application-Specific Considerations:
| Application | Challenge | Solution Approach |
|---|---|---|
| IHC | Background staining | Optimize fixation, blocking, and antibody concentration; validate with knockout controls |
| Western blot | Multiple bands | Use specific lysis conditions; compare with recombinant protein controls |
| RT-qPCR | Primer cross-reactivity | Design primers spanning exon junctions unique to EPHA6 |
| Flow cytometry | Surface vs. total expression | Compare paired surface and intracellular staining protocols |
Methodological Recommendations:
Use multiple antibodies targeting different epitopes to confirm results
Combine protein and mRNA detection methods
Include appropriate genetic controls (siRNA knockdown or CRISPR knockout)
Cross-reference findings with genomic databases to identify potential variants
These challenges necessitate rigorous validation strategies when studying EPHA6, particularly in contexts where multiple Eph receptors may be co-expressed, such as neural tissues and various cancer types .
Investigating EPHA6's neural functions requires specialized experimental approaches:
In Vivo Models:
Genetic knockout/knockdown models:
Temporal control systems:
Behavioral Assays:
Learning and memory tests specifically affected by EPHA6 deficiency:
Molecular and Cellular Approaches:
Slice electrophysiology:
Long-term potentiation (LTP) and long-term depression (LTD) measurements
Paired-pulse facilitation for presynaptic function assessment
Field recordings from hippocampal CA1 region
High-resolution imaging:
Molecular interaction studies:
Experimental Design Considerations:
Compare homozygous and heterozygous models to assess dose-dependency
Include sex as biological variable (differences may exist)
Control for developmental compensation in constitutive knockout models
Use multiple antibodies for confirmation (e.g., extracellular domain antibody AER-016 at 1:200 dilution for immunohistochemistry)
The combination of these approaches can elucidate the mechanistic basis of EPHA6's effects on learning and memory, potentially identifying novel therapeutic targets for cognitive disorders .
Emerging evidence supports EPHA6 as a promising therapeutic target in multiple disease contexts:
Cancer Therapeutic Potential:
Prostate Cancer: EPHA6 knockdown reduces:
Glioma: EPHA6 interaction with ALK-2 sensitizes glioma-initiating cells to specific therapeutic approaches
Neurological Applications:
Neural Regeneration: EPHA6 signaling pathways are inhibitory for developing axons
Cognitive Enhancement: Given EPHA6's role in learning and memory:
Therapeutic Approach Options:
| Approach | Mechanism | Development Status | Challenges |
|---|---|---|---|
| Monoclonal antibodies | Block extracellular EPHA6-ephrin binding | Preclinical testing in solid tumors | Specificity, delivery across BBB |
| Kinase inhibitors | Target EPHA6 catalytic activity | Structure-based design phase | Selectivity over other tyrosine kinases |
| Peptide mimetics | Disrupt specific protein-protein interactions | Early development | Stability, delivery, penetration |
| RNA interference | Reduce EPHA6 expression | Validated in preclinical models | Delivery to target tissues |
Validation Methodologies: