REPS2 antibodies are immunoglobulin (IgG) molecules designed to specifically bind to REPS2, a 71–72 kDa protein encoded by the REPS2 gene (NCBI Gene ID: 9185) . These antibodies enable detection, quantification, and functional analysis of REPS2 in research and diagnostic applications.
REPS2 contains structural domains critical for protein-protein interactions:
EH domain: Binds NPF motifs in partners like Epsin 1 (EPN1) and EPS15 .
Proline-rich motifs (PRMs): Interact with SH3 domain-containing proteins (e.g., GRB2) .
Coiled-coil domain: Mediates binding to RALBP1, a GTPase-activating protein .
REPS2 antibodies are produced in hosts like rabbits and are available as monoclonal or polyclonal formats. Key applications include:
Esophageal Squamous Cell Carcinoma (ESCC): High miR-675-5p expression downregulates REPS2, activating RalBP1/RAC1/CDC42 signaling to promote metastasis . REPS2 antibodies confirmed inverse correlation between REPS2 and miR-675-5p in patient tissues .
Hepatocellular Carcinoma (HCC): LXR agonists (e.g., T0901317) upregulate REPS2 via LXRE binding, inhibiting EGFR/AKT/NF-κB pathways and reducing tumor growth .
Prostate Cancer: REPS2 loss correlates with androgen-independent progression. REPS2 interacts with NF-κB p65 to suppress survival signals .
REPS2 (RALBP1 Associated Eps Domain Containing Protein 2), also known as POB1, is a multifunctional protein involved in growth factor signaling through its influence on the Ral signaling pathway . It plays a critical role in ligand-dependent receptor-mediated endocytosis of epidermal growth factor (EGF) and insulin receptors . REPS2 functions by binding to RALBP1, thereby inhibiting the RALBP1/RAL signaling pathway, which consequently inhibits the endocytosis of EGF and insulin . By controlling growth factor receptor endocytosis, REPS2 regulates cell survival and, through ASAP1, may modulate cell adhesion and migration .
Recent research has implicated REPS2 in various cancer types. Downregulation of REPS2 expression coincides with the androgen-dependent to androgen-independent transition in prostate cancer . REPS2 also binds to p65 reciprocally to inhibit NF-κB activity and is involved in the development and prognosis of breast cancer, esophageal squamous cell carcinoma, and colorectal cancer .
REPS2 antibodies have been validated for multiple research applications. The table below summarizes available applications by antibody format:
When selecting an antibody for your research, consider the specific application requirements, target species, and whether polyclonal or monoclonal antibodies would be more appropriate for your experimental design .
72 kDa (full-length protein)
55 kDa (potential isoform or post-translationally modified variant)
These variations in observed molecular weight may depend on cell type, experimental conditions, and potential post-translational modifications. When validating your REPS2 antibody, it is advisable to use positive control lysates from cells known to express REPS2, such as LnCap, T47-D, or 293T cells, which have been documented to express detectable levels of REPS2 .
REPS2 plays a crucial role in the endocytosis of growth factor receptors through multiple mechanisms:
RALBP1 Interaction: REPS2 binds to RALBP1, inhibiting the RALBP1/RAL signaling pathway that normally promotes receptor endocytosis .
EGF-mediated EGFR Endocytosis: Research demonstrates that REPS2 inhibits EGF-mediated endocytosis of EGFR as well as downstream signaling pathways including AKT/NF-κB, p38MAPK, and ERK1/2 .
Cell Survival Regulation: By controlling growth factor receptor endocytosis, REPS2 may regulate cell survival mechanisms .
Cell Adhesion and Migration: Through interaction with ASAP1, REPS2 may regulate cell adhesion and migration processes .
In hepatocellular carcinoma (HCC) cells, increased expression of REPS2 (induced by T317, a Liver X Receptor agonist) inhibits EGF-mediated endocytosis of EGFR and subsequently downregulates the activation of downstream signaling pathways . This regulatory mechanism provides potential therapeutic targets for cancer treatment, as REPS2 expression levels are inversely correlated with HCC development, with reduced expression associated with poor prognosis .
REPS2 has emerged as a significant player in cancer biology with distinct expression patterns and prognostic implications:
Hepatocellular Carcinoma (HCC): Clinical data analysis reveals that REPS2 expression levels are inversely correlated with HCC development. Reduced REPS2 expression is associated with poor prognosis, suggesting that REPS2 might function as a tumor suppressor in HCC .
Prostate Cancer: Downregulation of REPS2 expression coincides with the transition from androgen-dependent to androgen-independent prostate cancer, indicating a potential role in disease progression .
Other Cancers: REPS2 is also involved in the development and prognosis of breast cancer, esophageal squamous cell carcinoma, and colorectal cancer, though the specific mechanisms may vary across cancer types .
Mechanistically, REPS2 exerts its tumor-suppressive effects by:
Inhibiting EGF-mediated endocytosis of EGFR and downstream signaling pathways including AKT/NF-κB, p38MAPK, and ERK1/2
Potentially modulating cell adhesion and migration through interaction with ASAP1
These findings suggest that REPS2 could serve as a prognostic biomarker and potential therapeutic target in multiple cancer types.
When designing immunoprecipitation (IP) experiments with REPS2 antibodies, researchers should consider several key factors:
Antibody Selection: Recombinant monoclonal antibodies such as EPR12033(B) (ab170883 and ab249563) have been specifically validated for IP applications with human samples . These antibodies have demonstrated efficacy in precipitating REPS2 from cell lysates.
Cell Line Selection: 293T cells have been documented as effective sources for REPS2 immunoprecipitation . Other cell lines with high REPS2 expression, such as LnCap and T47-D, may also be suitable.
Experimental Protocol:
Validation: Confirm the specificity of the immunoprecipitation by:
Western blot analysis of the IP pellet
Comparing with known molecular weights (expected 72 kDa for full-length REPS2)
Including appropriate negative controls
Downstream Applications: Consider how the immunoprecipitated REPS2 will be used (protein-protein interaction studies, post-translational modification analysis, etc.) and adjust your protocol accordingly.
By carefully considering these factors, researchers can optimize their REPS2 immunoprecipitation experiments for successful outcomes and reliable data.
REPS2 expression is regulated through several transcriptional mechanisms, with recent research highlighting the role of Liver X Receptors (LXRs):
LXR-mediated Regulation: Studies have demonstrated that LXRα/β play a critical role in regulating REPS2 expression. Knockdown of LXRα/β in HepG2 cells significantly decreases REPS2 expression .
LXRE in REPS2 Promoter: A functional LXR-response element (LXRE) has been identified in the REPS2 promoter region. The binding of LXR protein to this LXRE enhances REPS2 transcription .
T317 Compound Effects: The LXR agonist T317 enhances REPS2 expression at the transcriptional level by promoting the binding of LXR protein to the LXRE in the REPS2 promoter region .
The specific methodological approach to study this regulation includes:
Promoter Activity Assay: The human REPS2 promoter (from −1687 to −921) can be amplified using PCR and inserted into a luciferase reporter vector (pGL4.10) to study promoter activity .
Site-directed Mutagenesis: Mutation of the predicted LXRE sequence allows for functional validation of the LXR binding site .
Chromatin Immunoprecipitation (ChIP) Assay: To determine the binding of LXR protein to the LXRE in the REPS2 promoter, researchers treat cells with T317 (400 nM) for 18 hours, then perform ChIP using specific LXRα or LXRβ monoclonal antibodies .
ChIP Primers: Forward 5′-TCAAGCCTGTAATCCCAGCACTTT-3′, Reverse 5′-GGCTGTAGTTCAATGGCACAGTCTT-3′ .
This transcriptional regulation of REPS2 represents a potential therapeutic target, particularly in cancer contexts where REPS2 expression is frequently dysregulated.
To investigate REPS2's role in receptor endocytosis pathways, researchers can employ several sophisticated methodological approaches:
Gene Expression Modulation:
RNA interference (siRNA or shRNA) targeting REPS2
CRISPR-Cas9 gene editing to create REPS2 knockout models
Overexpression systems using plasmid vectors containing REPS2 cDNA
Receptor Internalization Assays:
Fluorescently labeled EGF or insulin to track receptor internalization
Flow cytometry to quantify surface receptor expression before and after ligand stimulation
Confocal microscopy with dual-labeled antibodies to simultaneously track REPS2 and receptor localization
Protein-Protein Interaction Studies:
Signaling Pathway Analysis:
Phospho-specific antibodies to monitor activation of downstream pathways (AKT/NF-κB, p38MAPK, ERK1/2) following EGF stimulation in the presence and absence of REPS2
Inhibitors of specific pathway components to dissect the hierarchy of signaling events
Time-course experiments to determine the kinetics of receptor internalization and signal transduction
Live Cell Imaging:
REPS2-GFP fusion proteins to track localization during endocytosis
TIRF microscopy to visualize membrane-proximal events
High-content imaging to quantify endocytic vesicle formation
These methodological approaches can be combined to provide a comprehensive understanding of how REPS2 regulates receptor endocytosis and influences downstream signaling pathways in normal and pathological conditions.
Validating antibody specificity is crucial for generating reliable research data. For REPS2 antibodies, researchers face several challenges and can implement specific solutions:
Challenges in REPS2 Antibody Validation:
Multiple Observed Molecular Weights: REPS2 can be detected at 72 kDa (full-length), 55 kDa, and 30 kDa, complicating interpretation of Western blot results .
Cross-Reactivity Concerns: Some antibodies show reactivity with both human and mouse REPS2, requiring careful validation across species .
Isoform Recognition: Multiple isoforms or post-translationally modified forms may exist, affecting antibody recognition.
Background Signal: Non-specific binding can complicate analysis, particularly in techniques like immunohistochemistry.
Methodological Solutions:
Genetic Validation:
Use REPS2 knockout or knockdown models as negative controls
Compare antibody signal in cells with varying REPS2 expression levels
Employ CRISPR-Cas9 gene editing to create epitope-tagged REPS2 for validation
Multiple Antibody Approach:
Application-Specific Validation:
Quantitative Validation:
By implementing these methodological approaches, researchers can ensure the specificity and reliability of their REPS2 antibodies across multiple experimental applications.
REPS2 plays a critical regulatory role in EGFR signaling through several mechanisms that can be studied using specific methodological approaches:
REPS2-EGFR Signaling Interactions:
Inhibition of EGFR Endocytosis: REPS2 inhibits EGF-mediated endocytosis of EGFR, affecting receptor turnover and sustained signaling .
Downstream Pathway Regulation: REPS2 modulates the activation of multiple EGFR-dependent signaling cascades:
RALBP1 Pathway Interaction: REPS2 binds to RALBP1, inhibiting the RALBP1/RAL signaling pathway that normally promotes receptor endocytosis .
Methodological Approaches to Study These Interactions:
Receptor Internalization Assays:
Biotinylation of cell surface proteins followed by internalization assays
Flow cytometry with fluorescently labeled anti-EGFR antibodies
Pulse-chase experiments with labeled EGF
Protein-Protein Interaction Studies:
Signaling Pathway Analysis:
Western blotting with phospho-specific antibodies targeting:
p-EGFR (Y1068, Y1173)
p-AKT (S473, T308)
p-ERK1/2 (T202/Y204)
p-p38MAPK (T180/Y182)
Kinetic studies to determine temporal dynamics of pathway activation
Pathway inhibitor studies to establish signaling hierarchies
Transcriptional Regulation Analysis:
ChIP assays to study NF-κB binding to target genes
Reporter gene assays for NF-κB-responsive elements
RT-qPCR of EGFR pathway target genes
Functional Outcome Measurements:
Cell proliferation assays (e.g., MTT, BrdU incorporation)
Migration assays (wound healing, transwell)
Apoptosis assays (Annexin V/PI staining, caspase activity)
By integrating these methodological approaches, researchers can comprehensively characterize how REPS2 modulates EGFR signaling in normal and pathological contexts, such as cancer development where REPS2 expression is frequently altered .
For maximum stability and performance of REPS2 antibodies, researchers should follow these storage and handling recommendations:
Storage Temperature:
Buffer Composition:
Stability Information:
Handling Practices:
Thaw antibodies on ice before use
Centrifuge briefly to collect contents at the bottom of the tube
Avoid contamination by using sterile technique
Return to -20°C storage promptly after use
Working Dilution Preparation:
Following these storage and handling guidelines will help ensure consistent performance and reliable results when using REPS2 antibodies in various experimental applications.
Optimizing immunofluorescence (IF) protocols for REPS2 detection requires careful consideration of several methodological parameters:
Antibody Selection:
Fixation Method Optimization:
Compare paraformaldehyde (4%, 10-15 minutes) with methanol fixation (-20°C, 10 minutes)
For membrane-associated REPS2 detection, mild fixation may better preserve epitopes
Consider dual fixation (paraformaldehyde followed by methanol) for detecting both membrane and cytoplasmic pools
Permeabilization Conditions:
Test different permeabilization agents (0.1-0.5% Triton X-100, 0.1-0.5% saponin)
Optimize permeabilization time (5-15 minutes) to balance antibody access with structural preservation
Blocking Strategy:
Use 5-10% normal serum (from the species of the secondary antibody)
Add 1% BSA to reduce non-specific binding
Consider adding 0.1-0.3% Triton X-100 in blocking buffer for better penetration
Antibody Dilution Titration:
Start with manufacturer's recommended dilution and test a series of dilutions
Include a negative control (no primary antibody) to assess background
Signal Amplification Methods:
For weak signals, consider tyramide signal amplification
Evaluate different fluorophore-conjugated secondary antibodies (Alexa Fluor vs. DyLight)
Co-localization Studies:
For REPS2 and EGFR co-localization, use species-distinct primary antibodies
Include appropriate controls for spectral bleed-through
Analyze with quantitative co-localization software (e.g., JACoP plugin for ImageJ)
Confocal Imaging Parameters:
Use sequential scanning to minimize cross-talk between channels
Optimize pinhole size, gain, and laser power to maximize signal-to-noise ratio
Consider deconvolution for improved resolution
By systematically optimizing these parameters, researchers can achieve specific and sensitive detection of REPS2 in immunofluorescence studies, enabling detailed analysis of its subcellular localization and co-localization with interaction partners.
REPS2 antibodies offer several valuable applications in cancer research and therapeutic development:
Prognostic Biomarker Validation:
Therapeutic Target Assessment:
Mechanism of Action Studies:
Investigating how REPS2 regulates EGFR endocytosis in different cancer types
Examining the interplay between REPS2 and NF-κB signaling in tumor progression
Studying REPS2's role in the transition from androgen-dependent to androgen-independent prostate cancer
Combination Therapy Research:
Evaluating synergistic effects between REPS2-targeting approaches and conventional therapies
Identifying resistance mechanisms by analyzing REPS2 expression patterns
Methodological Approaches:
Use immunoprecipitation with monoclonal REPS2 antibodies followed by mass spectrometry to identify novel interaction partners
Employ tissue microarrays with REPS2 antibodies to correlate expression with patient outcomes
Develop phospho-specific REPS2 antibodies to study its post-translational regulation
Translational Applications:
Design companion diagnostic tests using REPS2 antibodies to guide targeted therapy selection
Develop antibody-drug conjugates targeting REPS2-expressing cells
Create imaging agents based on REPS2 antibodies for cancer detection
By leveraging these applications, researchers can advance our understanding of REPS2's role in cancer and potentially develop novel therapeutic strategies targeting this protein or its regulatory pathways.
Several cutting-edge methodologies offer exciting opportunities to advance our understanding of REPS2 biology:
Proximity-Based Labeling Techniques:
BioID or TurboID fusion with REPS2 to identify proximal proteins in living cells
APEX2-REPS2 fusion for temporal mapping of the REPS2 interactome during endocytosis
Split-BioID systems to study context-specific interactions in different cellular compartments
Advanced Imaging Technologies:
Super-resolution microscopy (STORM, PALM, SIM) to visualize REPS2 nanoscale organization
Lattice light-sheet microscopy for long-term, high-resolution imaging of REPS2 dynamics
Correlative light and electron microscopy (CLEM) to link REPS2 localization with ultrastructural features
CRISPR-Based Approaches:
CRISPRa/CRISPRi for endogenous REPS2 expression modulation
CRISPR base editors to introduce specific REPS2 mutations
CRISPR screens to identify synthetic lethal interactions with REPS2 deficiency
Single-Cell Technologies:
Single-cell RNA-seq to profile REPS2 expression heterogeneity in tumors
Single-cell proteomics to correlate REPS2 protein levels with other signaling components
Mass cytometry (CyTOF) with REPS2 antibodies to analyze rare cell populations
Structural Biology Methods:
Cryo-EM to determine the structure of REPS2 in complex with binding partners
Hydrogen-deuterium exchange mass spectrometry to map conformational changes
Integrative modeling approaches combining various structural data
In Vivo Models:
REPS2 conditional knockout mouse models to study tissue-specific functions
Patient-derived xenografts to evaluate REPS2 targeting in personalized medicine
In vivo CRISPR screens to identify context-dependent REPS2 functions
Computational Approaches:
Machine learning algorithms to predict REPS2 interactions from multi-omics data
Molecular dynamics simulations to understand REPS2 conformational dynamics
Systems biology modeling of REPS2's role in receptor trafficking networks