POPDC3 antibodies target the POPDC3 protein, encoded by the POPDC3 gene (Entrez Gene ID: 64208). This protein contains three transmembrane domains and is predominantly expressed in cardiac and skeletal muscle . POPDC3 antibodies are critical for investigating its role in cellular processes and disease mechanisms, particularly in cancer biology.
Immunogen: A fusion protein corresponding to amino acids 1-291 of human POPDC3 (UniProt ID: Q9HBV1) .
Observed Molecular Weight: ~60 kDa (vs. calculated 34 kDa, likely due to post-translational modifications) .
POPDC3 antibodies are validated for multiple experimental techniques:
| Expression Level | Median Survival (Months) | 3-Year Survival Rate |
|---|---|---|
| Low POPDC3 (74.51%) | 23 | 16.7% |
| High POPDC3 (25.49%) | 55 | 84.6% |
Low POPDC3 expression was an independent prognostic factor, particularly in early-stage tumors (χ² = 104.741, P < 0.0001) .
Functional Pathways:
Biomarker Potential:
POPDC3 (Popeye domain-containing protein 3) is a 291-amino acid transmembrane protein containing three putative transmembrane domains. It belongs to the Popeye domain-containing family, which is highly evolutionarily conserved. Under physiological conditions, POPDC3 is predominantly expressed in cardiac and skeletal muscle tissues .
Immunohistochemistry studies have detected positive POPDC3 staining in:
Mouse heart tissue
Human skeletal muscle tissue
Human placenta tissue
Human testis tissue
Human spleen tissue
The protein is primarily involved in signaling pathways critical for cell communication and may play roles in cell adhesion, cell motility, DNA methylation, and tumorigenesis .
POPDC3 antibodies have been validated for multiple research applications. The recommended applications and dilutions based on experimental validation include:
| Application | Recommended Dilution | Validated Cell/Tissue Types |
|---|---|---|
| Western Blot (WB) | 1:500-1:2000 | COLO 320 cells, HEK-293 cells |
| Immunoprecipitation (IP) | 0.5-4.0 μg per 1.0-3.0 mg of total protein | HeLa cells |
| Immunohistochemistry (IHC) | 1:50-1:500 | Multiple human and mouse tissues |
| Immunofluorescence (IF) | 1:200-1:500 | Various cell types |
| ELISA | Varies by kit | Human samples |
For optimal antigen retrieval in IHC applications, TE buffer (pH 9.0) is recommended, though citrate buffer (pH 6.0) may be used as an alternative . Optimization for specific experimental conditions is often necessary to achieve ideal results.
When using tagged versions of POPDC3 (such as POPDC3-CFP or POPDC3-MYC) for protein interaction studies, the molecular weight will increase accordingly based on the size of the fusion tag . For accurate assessment of POPDC3 protein expression, appropriate positive controls like COLO 320 or HEK-293 cells should be included in Western blot experiments.
Sample preparation is critical for successful detection of POPDC3, particularly due to its transmembrane nature. Consider these methodological approaches:
For Western blot analysis:
For detecting POPDC3-containing complexes, cells can be lysed using 4M urea and 10% SDS without reducing agents
Cell lysates should be sonicated and centrifuged for 30 minutes at >16,000g
The cleared lysate should be incubated at 37°C for 30 minutes prior to Western blot analysis
For immunohistochemistry:
Formalin-fixed, paraffin-embedded tissues are suitable for POPDC3 detection
Antigen retrieval with TE buffer (pH 9.0) is recommended
Optimal primary antibody dilution ranges from 1:50 to 1:500 depending on tissue type and antibody concentration
For immunoprecipitation:
Cells should be lysed using a 1% Triton X-100 based lysis buffer supplemented with protease inhibitors
The ProFound™ c-Myc Tag IP/co-IP Kit or Pierce HA Tag IP/Co-IP Kit have been successfully used for tagged versions of POPDC3
POPDC3 shows distinct expression patterns across different cancer types compared to normal tissues, suggesting context-dependent roles:
Gastric Cancer:
Low expression of POPDC3 was detected in 74.51% (228 of 306) of gastric cancer cases, while high expression was found in only 25.49% (78 of 306) cases
This contrasts significantly with nontumor gastric mucosa, where POPDC3 was detected in 85.71% (72 of 84) of samples
The differences were statistically significant (χ² = 1.010E2, P < 0.0001)
Frequent silencing of POPDC3 in gastric cancer was associated with promoter hypermethylation
Non-Small Cell Lung Cancer (NSCLC):
Unlike in gastric cancer, POPDC3 was significantly overexpressed in NSCLC tissues compared to adjacent non-cancerous tissues
IHC analysis revealed notable overexpression in both lung adenocarcinoma and lung squamous cell carcinoma samples (P < 0.05)
Elevated POPDC3 expression was significantly associated with adverse clinical outcomes and poorer survival
Head and Neck Squamous Cell Carcinoma (HNSCC):
High POPDC3 expression was associated with radioresistance and poor prognosis in HNSCC patients
POPDC3 was highly expressed in the post-irradiation group compared with the non-irradiation group
The subcellular localization of POPDC3 also differs between normal and cancer tissues. In normal cells, POPDC3 shows stronger membrane association, whereas in tumor cells, it exhibits predominantly cytoplasmic localization .
Recent research has uncovered important functions of POPDC3 in modulating the tumor microenvironment (TME) and immune cell interactions:
In NSCLC, multiplex immunohistochemistry (mIHC) studies revealed:
A significant positive correlation between elevated POPDC3 expression and enhanced infiltration of CD4+ T cells within NSCLC tissues
No similar correlation was observed with CD8+ T cell densities
An elevated proportion of PD-1 positive cells in NSCLC tissues exhibiting high POPDC3 expression
Functional validation in animal models demonstrated:
Ectopic overexpression of POPDC3 in Lewis lung carcinoma (LLC) xenograft tissues in C57BL/6J mice resulted in increased CD4+ T cell infiltration
This was accompanied by heightened PD-1 expression in the tumor microenvironment
These findings suggest a dual role for POPDC3 in immune modulation:
Promoting T cell recruitment to the tumor site
Potentially contributing to subsequent T cell exhaustion through increased PD-1 expression
This mechanism may explain how POPDC3-high expressing NSCLC cells could evade immune surveillance, despite triggering immune cell infiltration. The relationship between POPDC3 expression, PD-1-positive CD4+ T cell infiltration, and potential T cell exhaustion suggests POPDC3 could influence responses to immune checkpoint inhibitor therapies, though direct assessment of immunotherapy efficacy in this context requires further investigation .
Functional studies have revealed multiple mechanisms through which POPDC3 influences cancer cell behavior and disease progression:
Cell Proliferation and Viability:
In NSCLC cell lines (A549, H1299) and primary NSCLC cells, ectopic overexpression of POPDC3 significantly promoted:
In vivo studies confirmed that POPDC3 overexpression accelerated the growth of NSCLC xenografts in nude mice
Cell Migration and Invasion:
POPDC3-overexpressing NSCLC cells demonstrated accelerated in vitro migration and invasion
These effects were observed in both established cell lines and primary NSCLC cells
Epithelial-Mesenchymal Transition (EMT):
POPDC3 overexpression promoted EMT, as evidenced by:
Upregulation of N-Cadherin, Vimentin, and Slug
Downregulation of E-Cadherin
These EMT-related changes were detected in POPDC3-overexpressing NSCLC xenograft tissues
Apoptosis Regulation:
POPDC3 overexpression altered the balance of pro- and anti-apoptotic proteins:
In contrast to its apparent oncogenic role in NSCLC and HNSCC, in gastric cancer, reduced POPDC3 expression correlates with depth of invasion, lymph node metastasis, distant metastasis, advanced TNM stage, and poor differentiation, suggesting a potential tumor suppressor function in this context .
The POPDC family consists of three members (POPDC1/BVES, POPDC2, and POPDC3) that form complex interaction networks:
Interaction Patterns:
POPDC1 undergoes complex formation with both POPDC2 and POPDC3
No detectable interaction has been observed between POPDC2 and POPDC3
These interactions occur through a helix-helix interface located at the C-terminus of the Popeye domain
Ultra-conserved hydrophobic residues in this region are critical for mediating protein-protein interactions
Methodological Approaches for Studying POPDC Interactions:
Co-immunoprecipitation (Co-IP):
Cells expressing tagged POPDC proteins can be lysed using 1% Triton X-100 based buffer with protease inhibitors
For POPDC3-containing complexes, cells expressing POPDC1-CFP and POPDC3-MYC can be lysed using 4M urea and 10% SDS without reducing agents
Commercial IP kits have been successfully used with tagged versions of POPDC proteins
Co-transfection and Confocal Microscopy:
HEK293 cells can be transiently transfected with fluorescently-tagged POPDC constructs (e.g., POPDC1-CFP, POPDC2-EYFP, POPDC3-MYC)
Membrane localization can be visualized using membrane stains like CellBrite Red/DiD
This approach revealed that co-expression of POPDC1 and POPDC2 is required for proper membrane localization
Proximity Ligation Assay (PLA):
Bioluminescence Resonance Energy Transfer (BRET):
Site-Directed Mutagenesis:
Understanding these interactions is crucial as they affect membrane trafficking and function of POPDC proteins, with potential implications for both normal physiology and disease states.
Multiplex immunohistochemistry (mIHC) allows simultaneous detection of multiple proteins in a single tissue section. For successful incorporation of POPDC3 detection in multiplex panels:
Antibody Selection and Validation:
Use POPDC3 antibodies specifically validated for IHC applications
Perform single-plex IHC before multiplexing to:
When selecting multiple antibodies, ensure they are raised in different host species to avoid cross-reactivity
Panel Design Considerations:
A successful multiplex panel including POPDC3 has been demonstrated in NSCLC tissue samples, simultaneously detecting:
PAN-CK (epithelial cell marker)
POPDC3
CD4 (T helper cell marker)
CD8 (cytotoxic T cell marker)
Staining Protocol Optimization:
Consider tyramide signal amplification (TSA) for increased sensitivity when detecting low-abundance proteins
Arrange antibodies in order of decreasing sensitivity
Optimize blocking conditions to minimize background (typically 5-10% normal serum)
Include appropriate controls for specificity validation and autofluorescence subtraction
Quantification Methods:
For POPDC3 expression analysis, the H-score methodology has been successfully applied
This approach confirmed higher POPDC3 expression in NSCLC tissues compared to adjacent normal tissues
Based on POPDC3 expression levels, tissues can be classified into "POPDC3-low expression" and "POPDC3-high expression" groups for correlation with other parameters
This approach enables assessment of POPDC3 expression in relation to tumor cells and infiltrating immune cells, providing insights into its role in the tumor microenvironment and potential implications for immunotherapy response.
The reliability of POPDC3 as a prognostic biomarker varies significantly across different cancer types, with evidence suggesting opposing roles:
Gastric Cancer:
Low expression of POPDC3 correlates with poor prognosis
The 3-year survival rate for patients with low POPDC3 expression was significantly lower than for those with high expression
Median survival difference was dramatic: 55 months (95% CI: 53.515-56.485) for high POPDC3 expression versus 23 months (95% CI: 21.201-24.799) for low expression
For patients with low POPDC3, 1- and 3-year survival rates were 76.75% and 16.7%, compared to 88.46% and 84.6% for high expression
Non-Small Cell Lung Cancer (NSCLC):
Head and Neck Squamous Cell Carcinoma (HNSCC):
These contrasting findings highlight the context-dependent nature of POPDC3's function. The protein appears to be a reliable prognostic marker in each cancer type studied, but the direction of the association varies by cancer type, suggesting tissue-specific roles in cancer biology.
Proper controls are essential for ensuring reliable and interpretable results when using POPDC3 antibodies:
Positive Controls:
For Western blot: COLO 320 cells, HEK-293 cells, and HeLa cells have been validated as positive controls for POPDC3 expression
For IHC: Mouse heart tissue, human skeletal muscle tissue, human placenta tissue, and human testis tissue show reliable POPDC3 expression
Primary cardiac and skeletal muscle tissues are optimal physiological positive controls due to high endogenous POPDC3 expression
Negative Controls:
Antibody specificity can be validated using POPDC3 knockdown cells (siRNA or CRISPR/Cas9)
For IHC, omission of primary antibody while maintaining all other staining steps
Competitive peptide blocking using the immunogenic peptide to confirm specificity
Validation of Specificity:
Cross-reactivity with other POPDC family members should be assessed, particularly POPDC1 and POPDC2
When using overexpression systems, confirm that POPDC3 overexpression doesn't affect expression levels of POPDC1 and POPDC2
For tagged versions, verify that the tag doesn't interfere with protein localization or function
Internal Controls for Clinical Samples:
When analyzing tumor samples, including adjacent normal tissue provides an internal reference
For prognostic studies, categorizing samples into "POPDC3-high" and "POPDC3-low" groups requires consistent scoring methods (e.g., H-score methodology)
Implementation of these controls enhances confidence in experimental results and facilitates accurate interpretation of POPDC3 expression and function across different experimental contexts.
Researchers face several challenges when interpreting POPDC3 expression data across different cancer contexts:
Contrasting Prognostic Implications:
POPDC3 shows opposite prognostic associations in different cancer types:
These contradictions suggest context-dependent functions requiring careful interpretation
Technical Considerations:
The observed molecular weight (60 kDa) differs significantly from the calculated molecular weight (34 kDa)
Possible post-translational modifications may affect antibody recognition
Membrane proteins like POPDC3 require specific sample preparation to avoid aggregation or degradation
Expression Level Interpretation:
Relatively weak expression in certain NSCLC tissues and cells raises questions about physiological relevance
Elevated POPDC3 expression observed in lentivirus-transfected NSCLC cells may not accurately reflect conditions in actual tumors
Absolute quantification of POPDC3 in a larger cohort of primary tumor samples is needed for context
Subcellular Localization Variations:
POPDC3 localization differs between normal and malignant tissues
Predominantly membrane-associated in normal cells
These localization differences may reflect altered function or protein interactions
Interaction with Immune Microenvironment:
High POPDC3 expression correlates with increased CD4+ T cell infiltration and PD-1 expression
This represents a complex relationship where increased immune cell infiltration (typically beneficial) is accompanied by increased immune checkpoint expression (potentially immunosuppressive)
To address these challenges, researchers should:
Consider tissue-specific contexts when interpreting POPDC3 expression data
Validate findings across multiple technical approaches
Assess both expression levels and subcellular localization
Incorporate functional studies to understand the biological implications of altered POPDC3 expression
Several innovative approaches can advance our understanding of POPDC3's role in cancer:
CRISPR/Cas9-Mediated Genome Editing:
Generate POPDC3 knockout cell lines to assess loss-of-function effects
Create knock-in models with tagged endogenous POPDC3 to study localization without overexpression artifacts
Introduce specific mutations identified in cancer patients to evaluate functional consequences
Patient-Derived Organoids (PDOs):
Establish 3D organoid cultures from patient tumors with varying POPDC3 expression levels
Use these models to study:
Drug sensitivity correlations with POPDC3 expression
Effects of modulating POPDC3 expression on organoid growth and invasion
Impact on tumor-immune cell interactions in co-culture systems
Single-Cell Analysis:
Apply single-cell RNA sequencing to understand heterogeneity of POPDC3 expression within tumors
Combine with spatial transcriptomics to correlate POPDC3 expression with location in the tumor microenvironment
Integrate with proteomic data to identify co-expression patterns
Advanced Imaging Techniques:
Use live-cell imaging with fluorescently tagged POPDC3 to track dynamic changes in localization
Apply super-resolution microscopy to precisely determine subcellular localization
Implement Förster resonance energy transfer (FRET) or bioluminescence resonance energy transfer (BRET) to study protein-protein interactions in real time
Integrative Multi-Omics Analysis:
Correlate POPDC3 expression with:
Syngeneic Mouse Models with Immune Component:
Established models in C57BL/6J mice with Lewis lung carcinoma (LLC) have successfully demonstrated POPDC3's impact on immune cell infiltration
These models can be expanded to:
Test immunotherapy efficacy in relation to POPDC3 expression
Evaluate combination therapies targeting both POPDC3 and immune checkpoints
Study dynamics of CD4+ T cell recruitment and functional status