Recombinant Human Popeye Domain-Containing Protein 3 (POPDC3) is a transmembrane protein that belongs to the Popeye domain-containing family. It is characterized by a unique cyclic adenosine monophosphate (cAMP) binding site, which plays a crucial role in various physiological and pathological processes. POPDC3 is primarily expressed in cardiac and skeletal muscle tissues but has also been implicated in cancer progression and radioresistance .
POPDC3 contains three putative transmembrane domains and is part of the POP family of proteins. Its structure includes a Popeye domain, which is essential for its function as a cAMP effector protein. This domain facilitates interactions with other proteins and signaling pathways, influencing cell communication and muscle function .
Studies have shown that POPDC3 interacts with several proteins involved in cancer progression, such as KIF20A and SLU7 . In NSCLC, POPDC3 knockdown reduces cell proliferation and invasion, suggesting its potential as a therapeutic target . Additionally, POPDC3 gene variants have been associated with limb-girdle muscular dystrophy (LGMD) type 26, further expanding its role in muscle pathology .
| Application Area | Potential Use |
|---|---|
| Cancer Therapy | Target for reducing cancer progression and radioresistance |
| Muscular Dystrophy | Investigated for its role in LGMD type 26 |
Despite the promising findings, there is a need for further research into the biological role of POPDC3, its interacting proteins, and the signaling pathways it regulates. In vitro and in vivo studies are required to fully understand POPDC3's mechanisms in cancer and muscle diseases . Additionally, developing prognostic nomograms based on POPDC3 expression could enhance predictive accuracy for patient outcomes in various cancers .
Human POPDC3 is a transmembrane protein consisting of 291 amino acids with a unique cyclic adenosine monophosphate (cAMP) binding domain known as the Popeye domain. The protein contains transmembrane regions, with the amino acid sequence including characteristic hydrophobic segments that form membrane-spanning helices. The full sequence is: MERNSSLWKNLIDEHPVCTTWKQEAEGAIYHLASILFVVGFMGGSGFFGLLYVFSLLGLGFLCSAVWAWVDVCAADIFSWNFVLFVICFMQFVHIAYQVRSITFAREFQVLYSSLFQPLGISLPVFRTIALSSEVVTLEKEHCYAMQGKTSIDKLSLLVSGRIRVTVDGEFLHYIFPLQFLDSPEWDSLRPTEEGIFQVTLTAETDCRYVSWRRKKLYLLFAQHRYISRLFSVLIGSDIA DKLYALNDRVYIGKRYHYDIRLPNFYQMSTPEIRRSPLTQHFQNSRRYCDK .
POPDC3 contains several critical functional domains:
The Popeye domain - a characteristic cAMP binding region that is unique to the POPDC family
Transmembrane domains - allow proper membrane integration
Carboxy-terminal domain - involved in protein-protein interactions
Mutations affecting highly conserved residues in the Popeye domain (such as p.Leu155His and p.Leu217Phe) and carboxy-terminal domain (p.Arg261Gln) have been associated with limb girdle muscular dystrophy, indicating their functional importance in skeletal muscle physiology .
POPDC3 is widely expressed in mammalian tissues, with the highest levels of expression found in skeletal muscle. It is also present in cardiac tissue, though at lower levels. The differential expression pattern suggests tissue-specific functions, particularly in muscle tissues. This expression pattern makes it particularly relevant for studying muscle-related disorders and potentially as a biomarker in certain cancers where aberrant expression has been observed .
There are two primary expression systems commonly used for recombinant POPDC3 production:
Mammalian expression systems (HEK-293 cells) - Provides proper post-translational modifications and protein folding, resulting in proteins with >90% purity as determined by Bis-Tris PAGE. This system is particularly recommended for studies requiring functional interactions with mammalian proteins .
Bacterial expression systems (E. coli) - More cost-effective but may lack some post-translational modifications. Still achieves >90% purity as determined by SDS-PAGE. This system is suitable for structural studies and applications where glycosylation is not critical .
The choice depends on your specific research needs - mammalian systems are preferred for functional studies, while bacterial systems may be sufficient for structural analyses.
For optimal stability of recombinant POPDC3:
Store lyophilized protein at -20°C/-80°C upon receipt
After reconstitution, add 5-50% glycerol (final concentration) with a recommended default of 50%
Aliquot to avoid repeated freeze-thaw cycles
Working aliquots can be stored at 4°C for up to one week
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Centrifuge vials briefly before opening to bring contents to the bottom
Following these storage procedures minimizes protein degradation and maintains functional integrity for experimental use .
High-quality POPDC3 protein can be obtained through:
One-step affinity chromatography - Using His-tag affinity purification for bacterial or mammalian expressed proteins
Quality control methods - Including:
Bis-Tris PAGE or SDS-PAGE (>90% purity)
Anti-tag ELISA
Western Blot analysis
Analytical SEC (HPLC)
These methods ensure protein purity while maintaining structural integrity and functional activity. For experiments requiring extremely high purity, additional chromatography steps may be necessary .
POPDC3 gene variants cause a newly described form of limb-girdle muscular dystrophy (LGMD type 26) through several mechanisms:
Specific missense mutations - Homozygous POPDC3 missense variants (p.Leu155His, p.Leu217Phe, and p.Arg261Gln) affect highly conserved residues in the Popeye and carboxy-terminal domains
Functional consequences - These mutations disrupt proper POPDC3 function in:
cAMP signaling
Improper modulation of the mechano-gated potassium channel TREK-1
Potential disruption of muscle membrane integrity
Patients with these variants present with:
Proximal muscle weakness with adult-onset
Lower limbs affected earlier than upper limbs
Serum creatine kinase levels of 1,050 to 9,200 U/l
Dystrophic changes on muscle biopsy
Fat replacement of paraspinal and proximal leg muscles on MRI
This information is valuable for understanding how specific molecular defects in POPDC3 translate to clinical manifestations of muscular dystrophy .
Multiple lines of evidence support POPDC3 as a potential biomarker for cancer radioresistance, particularly in head and neck squamous cell carcinoma (HNSCC):
These findings suggest that POPDC3 expression levels could serve as a biomarker to predict radiotherapy response in HNSCC patients, potentially guiding treatment decisions and identifying patients who might benefit from radiation dose intensification or alternative therapeutic approaches .
While POPDC3 shows lower expression in cardiac tissue compared to skeletal muscle, studies in animal models suggest it may still contribute to cardiac function:
POPDC3 is part of the POPDC family, which includes POPDC1 and POPDC2 that have established roles in cardiac function
POPDC3 interacts with the mechano-gated potassium channel TREK-1, which regulates membrane potential in cardiac cells
cAMP binding by POPDC3 may modulate cardiac cell signaling, potentially affecting contractility and electrical conduction
Zebrafish models have proven valuable for investigating POPDC3 function:
Knockdown approach:
Using splice-site blocking morpholinos targeting popdc3
Two different morpholinos can be used for validation and to minimize off-target effects
Phenotypic assessment:
Knockdown results in larvae with tail curling
Histological analysis reveals dystrophic muscle features
Behavioral assays can quantify swimming deficits
Advantages of zebrafish:
Rapid development
Optical transparency facilitating imaging
Ability to screen compounds for therapeutic potential
Conservation of POPDC3 function between zebrafish and humans
This model system provides an efficient way to study POPDC3's role in muscle development and function, and to screen potential therapeutic interventions before moving to more complex mammalian models .
Xenopus laevis oocytes represent an excellent heterologous expression system for studying POPDC3 interactions with ion channels, particularly TREK-1:
Experimental approach:
Cloning wild-type and mutant POPDC3 sequences into expression vectors
Co-expression with TREK-1 channel
Two-electrode voltage clamp recordings to measure TREK-1 currents
Comparison of channel modulation between wild-type and mutant POPDC3
Key findings:
All three POPDC3 mutants (p.Leu155His, p.Leu217Phe, and p.Arg261Gln) cause aberrant modulation of TREK-1
This suggests a mechanistic link between POPDC3 mutations and muscle dysfunction through altered ion channel regulation
Advantages:
Large cell size facilitating microinjection and electrophysiological recording
Low background of endogenous channels
Ability to control expression levels
Reproducible functional measurements
This system has been instrumental in elucidating how POPDC3 mutations affect ion channel function, providing mechanistic insights into the pathophysiology of POPDC3-associated muscular dystrophy .
Several bioinformatic tools have proven effective for analyzing POPDC3 expression in cancer datasets:
The Cancer Genome Atlas (TCGA) - Provides comprehensive genomic, transcriptomic, and clinical data for various cancer types
X-tile analysis - Determines optimal cut-off values for POPDC3 expression levels based on survival information
Weighted Correlation Network Analysis (WGCNA) - Identifies hub genes and gene modules associated with radioresistance
Database for Annotation, Visualization and Integrated Discovery (DAVID) - Performs functional pathway analysis, including Gene Ontology term enrichment and KEGG pathway analysis
Protein-Protein Interaction (PPI) network analysis - Constructed using STRING database and visualized with Cytoscape to evaluate interactions
Kaplan-Meier Plotter - Analyzes survival data based on POPDC3 expression levels
These tools collectively enable comprehensive analysis of POPDC3's role in cancer, particularly in identifying its potential as a prognostic biomarker and therapeutic target .
Reconciling contradictory findings regarding POPDC3 function across different tissues requires a multifaceted approach:
Tissue-specific expression patterns:
Quantify expression levels across tissues using qPCR, RNA-seq, and protein quantification
Consider splice variants that may have tissue-specific distribution
Interacting protein partners:
Perform co-immunoprecipitation and mass spectrometry in different tissues
Map tissue-specific interactomes that may explain functional differences
Signaling pathway analysis:
Investigate tissue-specific signaling pathways that may interact with POPDC3
Consider the varying concentrations of cAMP across tissues
Functional redundancy:
Assess expression of other POPDC family members (POPDC1, POPDC2) in tissues where POPDC3 mutations show minimal effect
Generate tissue-specific conditional knockout models to bypass developmental compensation
This methodological framework helps explain why POPDC3 mutations primarily affect skeletal muscle despite broader expression patterns and why cardiac phenotypes may be absent despite POPDC3 expression in cardiac tissue .
When interpreting POPDC3 as a biomarker in cancer prognosis studies, researchers should consider:
Expression threshold determination:
Use X-tile analysis to establish clinically relevant cut-off values
Validate thresholds across independent cohorts
Multivariate analysis:
Include established clinical variables (stage, grade, age, etc.) in Cox regression models
Calculate hazard ratios with 95% confidence intervals
Develop nomograms incorporating POPDC3 with other prognostic factors
Cancer type specificity:
POPDC3's prognostic value may vary across cancer types
Head and neck squamous cell carcinoma shows strong association with radioresistance
Biological context:
Consider the biological mechanisms by which POPDC3 might influence cancer progression
Evaluate potential contributions to treatment resistance, particularly radioresistance
Technical considerations:
Account for tumor heterogeneity in sampling
Consider method of detection (RNA-seq, immunohistochemistry, etc.)
Standardize protocols for quantification
These methodological considerations are essential for robust interpretation of POPDC3 as a prognostic biomarker and for designing prospective validation studies .
To address POPDC3's dual role in muscle physiology and cancer, the following experimental designs are recommended:
Comparative expression analysis:
| Tissue/Cell Type | Method | Parameters to Measure |
|---|---|---|
| Normal muscle | RNA-seq & proteomics | Baseline expression, splice variants |
| Dystrophic muscle | RNA-seq & proteomics | Expression changes, pathway alterations |
| Normal epithelium | RNA-seq & proteomics | Baseline expression, splice variants |
| Cancer cells | RNA-seq & proteomics | Expression changes, correlation with aggression |
CRISPR-based approaches:
Generate cell-type specific knockout models
Create isogenic cell lines with specific POPDC3 mutations
Perform rescue experiments with wild-type POPDC3
Functional assays:
Measure membrane integrity in muscle cells vs. migration in cancer cells
Assess response to cAMP modulation in both contexts
Evaluate TREK-1 current in both cell types
Animal models with tissue-specific manipulation:
Muscle-specific POPDC3 knockout or mutation
Cancer xenografts with POPDC3 modulation
Combination models to assess interactions
Translational approaches:
Correlate POPDC3 variants in patients with both muscular and cancer phenotypes
Develop tissue-specific targeting strategies
This comprehensive experimental approach allows for systematic investigation of how the same protein contributes to distinct pathophysiological processes in different tissue contexts .
Several promising therapeutic approaches for targeting POPDC3 in muscular dystrophy warrant further investigation:
Gene therapy approaches:
AAV-mediated delivery of wild-type POPDC3 to affected muscles
CRISPR-Cas9 correction of specific POPDC3 mutations
Antisense oligonucleotides to modulate splicing if applicable
Small molecule development:
High-throughput screening for compounds that stabilize mutant POPDC3
cAMP analogs that might compensate for altered binding in mutants
Allosteric modulators that restore POPDC3-TREK-1 interaction
TREK-1 channel modulation:
Direct TREK-1 agonists to bypass defective POPDC3 regulation
Compounds that strengthen remaining POPDC3-TREK-1 interactions
Signaling pathway interventions:
Modulation of downstream pathways affected by POPDC3 dysfunction
Targeting compensatory mechanisms in muscle cells
These approaches provide multiple avenues for therapeutic development, with the optimal strategy likely depending on the specific POPDC3 mutation and clinical presentation .
Single-cell analysis offers powerful approaches to enhance understanding of POPDC3 function:
Single-cell RNA sequencing:
Reveals cell-type specific expression patterns within heterogeneous tissues
Identifies rare cell populations with distinctive POPDC3 expression
Maps transcriptional consequences of POPDC3 perturbation at cellular resolution
Spatial transcriptomics:
Preserves tissue architecture while providing expression data
Maps POPDC3 expression to specific anatomical locations
Correlates with pathological features in disease states
CyTOF/mass cytometry:
Simultaneously measures multiple protein markers with POPDC3
Quantifies signaling pathway activation states
Identifies cell subpopulations with distinct POPDC3 functions
Live-cell imaging with fluorescent reporters:
Tracks POPDC3 localization in real-time
Monitors cAMP binding dynamics
Visualizes protein-protein interactions in living cells
These methodologies overcome limitations of bulk tissue analysis and capture the heterogeneity of POPDC3 function within complex tissues, potentially revealing new aspects of its biology in both normal physiology and disease states .
To investigate the relationship between POPDC3 and radioresistance mechanisms, the following experimental framework is recommended:
In vitro radioresistance models:
Generate paired radioresistant/radiosensitive cancer cell lines
Manipulate POPDC3 expression using overexpression and knockdown approaches
Perform clonogenic survival assays after radiation with varying POPDC3 levels
Mechanistic investigations:
| Mechanism | Experimental Approach | Outcome Measures |
|---|---|---|
| DNA damage repair | Immunofluorescence for γH2AX foci | Quantification of repair kinetics |
| Cell cycle checkpoints | Flow cytometry, Western blot | Cell cycle distribution, checkpoint activation |
| Hypoxia response | HIF-1α reporter assays | Hypoxia pathway activation |
| Cancer stem cells | Sphere formation assays | Stemness marker expression |
Signaling pathway analysis:
Phosphoproteomic analysis before and after radiation
Assessment of cAMP-dependent pathways
Investigation of MAPK activation (identified in GO analysis)
In vivo validation:
Xenograft models with POPDC3 modulation
Fractionated radiation protocols
Tumor growth delay and local control assessments
Clinical correlation:
Analysis of POPDC3 expression in pre- and post-radiation patient samples
Correlation with treatment outcomes and radiation response
This comprehensive framework addresses multiple aspects of radioresistance and provides a pathway from mechanistic understanding to potential clinical applications .
Essential quality control parameters for recombinant POPDC3 include:
Purity assessment:
90% purity via Bis-Tris PAGE or SDS-PAGE
Analytical SEC (HPLC) to detect aggregates
Mass spectrometry to confirm identity and modifications
Functional validation:
cAMP binding assay to confirm Popeye domain activity
TREK-1 current modulation in heterologous expression systems
Proper membrane localization by immunofluorescence
Structural integrity:
Circular dichroism to assess secondary structure
Thermal stability assays
Limited proteolysis to detect misfolding
Endotoxin testing:
Essential for in vivo applications
Limulus amebocyte lysate (LAL) assay
Storage stability:
Activity testing after storage under recommended conditions
Monitoring for degradation products
These quality control measures ensure experimental reproducibility and reliability of results when working with recombinant POPDC3 proteins .
Optimizing immunodetection methods for POPDC3 requires careful consideration of several factors:
Antibody selection:
Prefer antibodies targeting conserved epitopes in the Popeye domain
Validate specificity using POPDC3 knockout/knockdown controls
Consider using antibodies recognizing tags for recombinant proteins
Western blot optimization:
Use mild detergents (0.5-1% Triton X-100 or NP-40) for extraction
Include protease inhibitors to prevent degradation
Optimize transfer conditions for this transmembrane protein (291 aa, ~33 kDa)
Block with 5% non-fat dry milk or BSA in TBST
Immunohistochemistry/immunofluorescence:
Test multiple fixation methods (4% PFA, methanol)
Optimize antigen retrieval (citrate buffer, pH 6.0)
Include membrane permeabilization step
Use Tyramide Signal Amplification for low expression tissues
Flow cytometry:
Gentle cell dissociation to preserve membrane proteins
Optimize permeabilization for intracellular epitopes
Include viability dye to exclude dead cells
Controls:
Include tissue from POPDC3 knockout models as negative control
Use tissues with known high expression (skeletal muscle) as positive control
Include isotype control antibodies
These methodological considerations improve detection sensitivity and specificity for POPDC3 across various experimental applications .
When designing functional assays to assess POPDC3 activity, researchers should consider these critical parameters:
cAMP binding assays:
Use purified recombinant POPDC3 with confirmed structural integrity
Employ [³H]-cAMP or fluorescent cAMP analogs
Include positive controls (other cAMP-binding proteins)
Determine binding kinetics (Kd, Bmax)
Compare wild-type with mutant POPDC3 variants
TREK-1 current measurements:
Co-express POPDC3 and TREK-1 in Xenopus oocytes
Use two-electrode voltage clamp recordings
Measure current-voltage relationships
Assess modulation by varying cAMP concentrations
Compare wild-type with disease-associated mutants
Membrane localization:
Generate fluorescent protein fusions
Confirm proper trafficking to plasma membrane
Quantify surface/internal distribution ratio
Use subcellular fractionation as complementary approach
Protein-protein interaction assays:
Co-immunoprecipitation with potential partners
Proximity ligation assays in intact cells
FRET/BRET to measure interactions in living cells
Consider the effect of cAMP levels on interactions
These methodologically rigorous approaches allow for comprehensive assessment of POPDC3 functional activity in various experimental contexts and enable comparison between wild-type and mutant variants .
Integrating POPDC3 research into personalized medicine approaches offers several promising avenues:
For muscular dystrophies:
Genetic testing for POPDC3 variants in undiagnosed LGMD patients
Phenotype-genotype correlations to predict disease progression
Potential therapy selection based on specific mutation mechanisms
Monitoring of muscle MRI patterns for early intervention
For cancer management:
POPDC3 expression as a biomarker for radiotherapy response prediction
Integration into multiparameter nomograms for personalized prognosis
Potential radiation dose adjustment based on POPDC3 status
Combination therapy selection guided by POPDC3-associated pathways
Clinical implementation considerations:
Development of standardized assays for clinical laboratories
Integration of POPDC3 testing into existing diagnostic algorithms
Prospective validation in diverse patient populations
Cost-effectiveness evaluation of testing strategies
This integrative approach bridges fundamental scientific discoveries with clinical applications, potentially improving diagnosis and treatment selection for both muscular dystrophies and cancers with aberrant POPDC3 function .
Advancing POPDC3 biology requires interdisciplinary approaches integrating multiple scientific disciplines:
Structural biology and biochemistry:
Cryo-EM or X-ray crystallography of POPDC3 alone and in complex with TREK-1
Hydrogen-deuterium exchange mass spectrometry to map conformational changes
Molecular dynamics simulations of cAMP binding and protein interactions
Systems biology:
Multi-omics integration (transcriptomics, proteomics, metabolomics)
Mathematical modeling of cAMP signaling networks
Network analysis of POPDC3 interactome in different contexts
Physiology and bioengineering:
Development of muscle-on-chip models with POPDC3 variants
Electrophysiological studies in engineered tissues
Biomechanical testing of muscle function
Computational biology:
AI-driven predictions of mutation effects
Virtual screening for small molecule modulators
Mining of electronic health records for genotype-phenotype correlations
Translational research:
Patient-derived organoids and iPSCs
Animal models with humanized POPDC3
Clinical biospecimen analysis with spatial resolution
This interdisciplinary framework leverages diverse expertise to address the complex biology of POPDC3 from molecular mechanisms to clinical implications .
Despite recent advances, significant knowledge gaps remain in POPDC3 research:
Molecular mechanisms:
Complete interactome of POPDC3 beyond TREK-1
Structural basis of cAMP-induced conformational changes
Trafficking and turnover regulation
Post-translational modifications affecting function
Physiological roles:
Precise function in muscle membrane integrity
Role in non-muscle tissues where it's expressed
Developmental functions versus adult maintenance
Interaction with other POPDC family members (functional redundancy)
Pathological involvement:
Mechanism of radioresistance promotion in cancer
Potential role in other cancer types beyond HNSCC
Contribution to non-LGMD muscle disorders
Involvement in aging-related muscle changes
Therapeutic targeting:
Druggable sites on POPDC3
Delivery methods for muscle-targeted therapies
Biomarkers of therapeutic response
Potential for compensatory approaches bypassing POPDC3