CPA4 is synthesized as a zymogen with a signal peptide (residues 1–16), pro region (17–113), and mature chain (114–421). The mature form is a 46.6 kDa glycosylated protein expressed in Sf9 baculovirus cells with an 8-amino acid His tag at the C-terminus . The amino acid sequence includes key residues for zinc coordination (His69, Glu72, His196) and a catalytic water molecule .
The structure of human CPA4 (hCPA4) bound to latexin reveals:
Active-site geometry: A funnel-shaped catalytic cleft with zinc tetrahedrally coordinated by His69, Glu72, His196, and a solvent molecule .
Substrate specificity: Preferential cleavage of hydrophobic residues (e.g., leucine, phenylalanine) .
Latexin inhibition: Blocks activity by occupying the active site, validated through biochemical assays .
CPA4 is implicated in multiple cancers, including:
EMT and CSC maintenance: CPA4 knockdown reduces vimentin expression and sphere formation in TNBC cells .
Histone hyperacetylation: Linked to tumor progression in prostate cancer via chromatin remodeling .
Immune evasion: Correlates with reduced CD8+ T-cell infiltration in ccRCC .
Latexin: Endogenous inhibitor with clinical potential for CPA4-driven cancers .
Gene silencing: shRNA-mediated knockdown reduces TNBC cell viability and EMT markers .
Combination therapy: Synergistic effects with anti-VEGF agents in NSCLC .
In ccRCC, CPA4 forms hubs with cell cycle regulators:
Carboxypeptidase A4 (CPA4) is a member of the metallocarboxypeptidase family that catalyzes the release of carboxy-terminal amino acids from protein substrates. It functions as a secreted protein that plays a role in establishing the tumor microenvironment. The protein is characterized as a monomer with a molecular mass of approximately 47 kDa as predicted, though it appears as 48 kDa when analyzed by SDS-PAGE under reducing conditions . Human CPA4 is derived from the sequence Gly17-Tyr421 and has measurable enzymatic activity in cleaving specific peptide substrates like Ac-Phe-Thiaphe-OH in experimental settings . CPA4 activity contributes to protein processing and regulation of peptide activity, which may explain its role in both normal physiological processes and disease states .
Multiple methodological approaches are employed for detecting and measuring CPA4:
Protein Detection Methods:
Activity Measurement:
Gene Expression Analysis:
Human CPA4 exhibits several key structural and biochemical properties relevant to research applications:
Structural Features:
Biochemical Properties:
Production Considerations:
Research has demonstrated significant alterations in CPA4 expression across various cancer types:
These alterations suggest CPA4 plays an important role in cancer development and progression, making it a potential biomarker for both diagnostic and prognostic applications.
Several molecular mechanisms connect CPA4 to cancer progression:
Tumor Microenvironment Modification:
Pathway Involvement:
Immune System Interactions:
Angiogenesis Connection:
Multiple lines of evidence establish CPA4's potential as both a diagnostic and prognostic biomarker:
These findings collectively position CPA4 as a promising biomarker that could enhance both cancer detection and outcome prediction, potentially improving clinical decision-making.
Advanced research on CPA4 utilizes sophisticated analytical approaches:
Multi-omics Analysis:
Immune Contextualization:
Integrative Approaches:
These comprehensive methodologies provide multidimensional insights into CPA4's functional role in both normal physiology and disease states.
When designing genetic manipulation experiments involving CPA4, researchers should consider:
Model Selection:
Cell line choice based on endogenous CPA4 expression and cancer type relevance
Consideration of in vitro versus in vivo approaches based on specific research questions
Selection of appropriate controls that account for both technical and biological variability
Manipulation Strategies:
For knockdown: siRNA, shRNA, or CRISPR-Cas9 approaches with careful target sequence selection
For overexpression: vector selection (transient vs. stable), promoter choice, and tag placement that preserves enzymatic activity
Validation at both mRNA and protein levels, with functional assessment of enzymatic activity
Functional Readouts:
Cell proliferation, migration, and invasion assays for cancer-related phenotypes
Analysis of CPA4-associated pathways identified through GSEA studies
Assessment of immune cell interactions when investigating microenvironment effects
Gene expression profiling to identify downstream molecular changes
Experimental Design Principles:
Following these methodological considerations ensures robust and reproducible results in functional studies of CPA4.
Production of high-quality recombinant CPA4 protein involves several critical steps:
Expression Systems:
Design Considerations:
Quality Control Measures:
Activity Validation:
Storage and Handling:
These standardized approaches ensure consistent production of functional recombinant CPA4 suitable for diverse experimental applications.
Robust statistical methodologies are employed to establish CPA4's biomarker utility:
These statistical approaches collectively establish the significance of CPA4 alterations in cancer and validate its potential as both a diagnostic and prognostic biomarker.
Based on current understanding of CPA4 biology, several therapeutic approaches emerge:
Direct CPA4 Targeting:
Small molecule inhibitors of CPA4's enzymatic activity
Neutralizing antibodies against CPA4 to prevent its effects in the tumor microenvironment
Pathway-Based Interventions:
Immune-Based Strategies:
Expression Modulation:
Epigenetic approaches targeting CPA4 methylation patterns
RNA interference strategies to reduce CPA4 expression in tumors
While these approaches represent promising directions, they require further validation through preclinical and clinical studies before implementation in cancer treatment regimens.
Despite significant progress, several methodological challenges persist in CPA4 research:
Mechanistic Understanding:
Limited knowledge of specific substrates and molecular mechanisms through which CPA4 influences tumor progression
Incomplete understanding of interactions between CPA4 and other components of the tumor microenvironment
Model Systems:
Need for improved in vitro and in vivo models that better recapitulate CPA4's role in human cancers
Standardization of systems for studying CPA4 function across different cancer types
Clinical Translation:
Requirement for larger, prospective clinical studies to validate CPA4's diagnostic and prognostic value
Standardization of measurement methods for clinical application
Establishment of universal cutoff values for diagnostic and prognostic decisions
Technical Challenges:
Optimization of detection methods with improved sensitivity and specificity
Development of standardized protocols for measuring CPA4 enzymatic activity in complex biological samples
Addressing these limitations will advance understanding of CPA4 biology and accelerate its translation into clinical applications.
Several technological advances hold promise for revolutionizing CPA4 research:
Single-Cell and Spatial Technologies:
Single-cell RNA sequencing to understand cell-type-specific expression and effects of CPA4
Spatial transcriptomics and proteomics to map CPA4 expression and activity within the tumor microenvironment
Advanced Proteomics:
Improved mass spectrometry techniques for identifying CPA4 substrates and interaction partners
Proteomics approaches to map post-translational modifications affecting CPA4 activity
CRISPR-Based Technologies:
CRISPR screening to identify synthetic lethal interactions with CPA4
CRISPR base and prime editing for precise manipulation of CPA4 expression and function
Improved Biomarker Detection:
Development of more sensitive methods for detecting CPA4 in liquid biopsies
Integration with other biomarkers in multi-analyte panels
Longitudinal monitoring approaches using minimally invasive sampling
These technological advances will likely accelerate discovery in CPA4 research and facilitate its translation into clinical applications.
Integrative research strategies combining multiple disciplines could significantly enhance CPA4 research:
Computational Biology Integration:
Machine learning approaches for integrating CPA4 with other biomarkers
Network analysis to understand CPA4 in broader biological systems
Structural biology predictions to design specific inhibitors
Immunology-Oncology Interface:
Clinical-Basic Science Collaborations:
Translational studies linking laboratory findings to patient outcomes
Patient-derived models for personalized assessment of CPA4 function
Prospective clinical validation of CPA4-based diagnostic and prognostic tools
Multi-omics Integration:
Combined analysis of genomic, transcriptomic, proteomic, and metabolomic data
Integration of epigenetic regulation with functional consequences
Comprehensive profiling of CPA4-associated molecular signatures across cancer types
These interdisciplinary approaches would provide holistic understanding of CPA4's role in cancer biology and accelerate development of CPA4-based clinical applications.
CPA4 is a secreted enzyme that removes the C-terminal amino acid from peptides having a free C-terminal carboxyl group. It can hydrolyze both amide and ester bonds and has a preference for cleavage at the amino side of hydrophobic residues . The enzyme is characterized by its zinc-binding site, which is essential for its catalytic activity.
Recombinant human CPA4 is produced using a mouse myeloma cell line, NS0, which expresses the human CPA4 protein. The recombinant protein is typically tagged with a C-terminal 10-His tag to facilitate purification . The recombinant form is often used in research to study the enzyme’s function and potential therapeutic applications.
Recombinant CPA4 is used in various biochemical assays to study its enzymatic activity. One common assay involves the cleavage of a colorimetric peptide substrate in the presence of 5,5’-dithio-bis (2-nitrobenzoic acid) (DTNB), which allows for the measurement of the enzyme’s activity . The enzyme’s ability to cleave specific peptide bonds makes it a valuable tool in protein and peptide research.