ZG16B (zymogen granule protein 16 homolog B), also known as PAUF (pancreatic adenocarcinoma upregulated factor), is a 156-amino acid secreted protein (20–25 kDa) belonging to the jacalin-binding lectin family . Recombinant monoclonal antibodies (mAbs) targeting ZG16B are engineered to bind specifically to this protein, enabling applications in research, diagnostics, and therapeutic development. These antibodies are typically produced in mammalian cell systems (e.g., E. coli or CHO cells) and validated for use in Western blotting (WB), immunohistochemistry (IHC-P), and ELISA .
ZG16B mAbs are widely used to study protein expression in cancer tissues. For example:
Western Blot: Detects ZG16B in lysates of human placenta, prostate, and pancreas cancer tissues, with a characteristic band at ~22 kDa .
IHC-P: Identifies cytoplasmic and plasma membrane staining in pancreatic adenocarcinoma cells, confirming its role in tumor progression .
ELISA: Quantifies ZG16B levels in serum or cell lysates for biomarker studies .
ZG16B mAbs inhibit signaling pathways critical to cancer progression:
ZG16B is overexpressed in pancreatic adenocarcinomas and promotes:
Tumor Growth: Facilitates adhesion, migration, and cytokine production via TLR2/TLR4 and FAK-Src pathways .
Immune Evasion: Activates myeloid-derived suppressor cells (MDSCs) and inhibits NF-κB-dependent immune responses .
Studies using humanized anti-ZG16B mAbs show:
Antitumor Efficacy: Inhibits migration and invasion in OVCAR-5 cells, reducing tumor growth in xenograft models .
Synergistic Effects: Combines with docetaxel to enhance chemosensitivity, suggesting therapeutic potential .
ZG16B is associated with:
Prognosis: High expression correlates with poor outcomes in epithelial ovarian cancer and colorectal cancer .
Early Diagnosis: Elevated levels in serum or tissues may aid in detecting pancreatic, gastric, and cervical cancers .
ZG16B mAbs modulate oncogenic pathways by:
Blocking TLR2/TLR4-Mediated Signaling: Inhibits TPL2/MEK/ERK and NF-κB pathways, reducing AP-1-driven cytokine production .
Suppressing Angiogenesis: Neutralizes ZG16B’s VEGF-like effects on endothelial cells, limiting tumor vascularization .
Enhancing Immunotherapy: Counteracts MDSC activation, potentially improving immune checkpoint inhibitor efficacy .
While ZG16B mAbs show promise, challenges remain:
Specificity: Cross-reactivity with ZG16A (related paralog) must be minimized .
Therapeutic Translation: Preclinical data need validation in clinical trials, particularly for combination therapies (e.g., mAbs + chemotherapy) .
Biomarker Utility: Standardized assays are required to integrate ZG16B into clinical diagnostics .
CUSABIO meticulously developed the ZG16B recombinant monoclonal antibody through a rigorous process. Initially, B cells were isolated from the spleen of an immunized animal, using the recombinant human ZG16B protein as the immunogen. Subsequently, RNA was extracted from these B cells and reverse transcribed into cDNA. Utilizing this cDNA as a template, the gene encoding the ZG16B antibody was amplified using degenerate primers and inserted into a vector. This vector was then introduced into host cells via transfection, enabling efficient antibody expression. The ZG16B recombinant monoclonal antibodies were harvested from the cell culture supernatant and purified using affinity chromatography. This antibody is recommended for the detection of human ZG16B protein in ELISA assays.
ZG16B (Zymogen granule protein 16 homolog B), also known as PAUF (pancreatic adenocarcinoma upregulated factor), is a 156 amino acid, approximately 20-25 kDa secreted protein that belongs to the jacalin-binding lectin family . ZG16B has emerged as a novel oncogene that is aberrantly expressed in multiple cancers, particularly pancreatic cancer . The protein contains a β-prism fold structure that contributes to its ability to regulate cell adhesion, metastasis, apoptosis, angiogenesis, and cell-cell interactions for pathogen recognition .
Its significance in cancer research stems from its role in facilitating tumor growth, adhesiveness, and the production of pro-tumorigenic cytokines . ZG16B binds to Toll-like receptors TLR2 and TLR4 and inhibits CXCR4-dependent, TLR2-mediated NF-kB activation . Given its overexpression in pancreatic adenocarcinoma and association with poor prognosis in various cancers, ZG16B represents a promising biomarker for tumor diagnosis and a potential therapeutic target .
ZG16B recombinant monoclonal antibodies have been validated for multiple experimental applications that serve different research objectives:
For optimal results, dilutions should be determined empirically by each laboratory for specific applications .
Validating antibody specificity is crucial for ensuring reliable experimental results. For ZG16B antibodies, a multi-step validation process is recommended:
Western Blot Analysis: Run lysates from tissues known to express ZG16B (e.g., placenta, prostate tissue) alongside negative controls. A specific band should be detected at approximately 22 kDa under reducing conditions .
Immunohistochemistry Comparison: Compare staining patterns in pancreatic cancer tissue (known to overexpress ZG16B) with normal pancreatic tissue. Specific staining should be localized to cytoplasm and plasma membranes of cancer cells .
Positive and Negative Control Tissues: Include tissues with documented high expression (pancreatic adenocarcinoma) and low/no expression of ZG16B.
Knockdown/Knockout Validation: If possible, use ZG16B knockdown or knockout samples to confirm antibody specificity.
Cross-Reactivity Assessment: Test the antibody against related proteins, particularly ZG16P, which shares approximately 25% amino acid sequence identity with ZG16B .
By following these methodological steps, researchers can confirm the specificity of ZG16B antibodies for their experimental system.
Proper storage and handling of ZG16B recombinant monoclonal antibodies are essential for maintaining their functionality and extending their shelf life. Based on manufacturer guidelines:
Long-term Storage: Store at -20°C to -70°C for up to 12 months from the date of receipt as supplied. Some antibodies may be stored at -80°C if preferred .
Medium-term Storage: After reconstitution, store at 2-8°C under sterile conditions for up to 1 month .
Extended Storage After Reconstitution: Store at -20°C to -70°C under sterile conditions for up to 6 months after reconstitution .
Formulation: Typically supplied in PBS with 50% glycerol and preservatives such as 0.03% Proclin 300, pH 7.4 .
Avoid Freeze-Thaw Cycles: Use a manual defrost freezer and avoid repeated freeze-thaw cycles which can degrade antibody quality .
Aliquoting: Upon receipt, consider dividing the antibody into single-use aliquots to minimize freeze-thaw cycles.
Working Dilutions: Prepare working dilutions immediately before use, as storing diluted antibodies may result in reduced performance.
These practices will help maintain antibody performance across experimental applications.
Optimizing antibody concentration is critical for achieving high signal-to-noise ratios across different detection methods. Here are methodological approaches for commonly used techniques:
For Western Blot Analysis:
Start with the manufacturer's recommended concentration (e.g., 1 μg/mL for MAB7777)
Perform a titration series (0.1-10 μg/mL) to determine optimal concentration
Use appropriate blocking buffer (e.g., Immunoblot Buffer Group 1 for MAB7777)
Optimize HRP-conjugated secondary antibody dilution in parallel
For Immunohistochemistry:
Begin with the suggested concentration (e.g., 15 μg/mL for MAB7777)
Perform heat-induced epitope retrieval with Antigen Retrieval Reagent-Basic
Test a range of antibody concentrations (5-25 μg/mL)
Incubate overnight at 4°C for optimal staining
Compare signal intensity and background across concentrations
For ELISA:
Prepare a standard curve using purified recombinant ZG16B protein
Test coating antibody concentrations between 1-10 μg/mL
Titrate detection antibody in 2-fold dilutions
Determine optimal concentration based on signal intensity, background, and linear range of detection
For Gold-Conjugated Applications:
Use optical density measurements to standardize gold-conjugated antibody concentration
Optimal optical density for lateral flow applications is approximately OD 10
Test volumes between 10-30 μL (20 μL has been validated for some applications)
Validation using appropriate positive and negative controls is essential regardless of detection method.
Neutralization experiments with ZG16B recombinant monoclonal antibodies require careful planning to generate meaningful results:
Antibody Selection: Choose antibodies specifically validated for neutralization, such as ZG16B Recombinant Human Monoclonal Antibody (6E5) .
Epitope Considerations: Consider the epitope recognized by the antibody. Neutralizing antibodies should target functional domains of ZG16B that mediate its interactions with binding partners like TLR2, TLR4, or CXCR4 .
Dose-Response Assessment:
Establish a dose-response curve using multiple antibody concentrations
Include isotype control antibodies at equivalent concentrations
Calculate IC50 values to quantify neutralization potency
Functional Readouts: Select appropriate functional assays to evaluate neutralization efficacy:
Validation Approaches:
Compare multiple neutralizing antibodies targeting different epitopes
Confirm specificity with ZG16B knockdown/knockout controls
Use recombinant ZG16B protein to rescue neutralization effects
Kinetic Considerations: Determine optimal pre-incubation times and treatment duration based on the specific cellular response being measured.
These methodological considerations will enhance the rigor and reproducibility of ZG16B neutralization experiments.
ZG16B recombinant monoclonal antibodies can serve as valuable quality control (QC) reagents, replacing the need for human serum samples in diagnostic test validation. This application has important methodological considerations:
Direct QC Reagent Application: Recombinant monoclonal antibodies can be used directly as QC reagents by replacing human serum samples when testing the diagnostic sensitivity of test kits . This approach:
Provides a renewable, standardized positive control
Eliminates variation inherent in human samples
Addresses challenges in obtaining and storing human samples
Gold Nanoparticle Conjugation: ZG16B antibodies can be conjugated to gold nanoparticles to confirm binding with corresponding recombinant proteins on test lines . The procedure involves:
Conjugating antibodies to gold nanoparticles to achieve OD 10
Applying approximately 20 μL of conjugated antibody to lateral flow tests
Observing the development of red-purplish colored lines at test positions
Confirming results within 15-30 minutes of application
Verification of Test Line Integrity: Gold-conjugated antibodies can be used to confirm the antigenicity of test lines after storage for prolonged periods or under unfavorable conditions , ensuring test reliability before use with valuable clinical samples.
Coupling Efficiency Considerations: When preparing antibody columns for QC purposes, coupling efficiency should be monitored. Reported coupling efficiencies range from 69% to 80% for different antibodies .
This application provides significant advantages for maintaining quality control in diagnostic test production and validation, particularly for tests targeting ZG16B as a cancer biomarker.
Immunoaffinity purification using ZG16B antibodies enables isolation of highly purified ZG16B protein for research applications. Based on experimental evidence, the following methodological approach is recommended:
Column Preparation Options:
Coupling Protocol:
Target Antigen Capture:
Apply pre-purified recombinant protein (e.g., His-tag affinity-purified ZG16B)
For complex samples, consider pre-clearing steps to reduce non-specific binding
Optimize binding conditions (pH, ionic strength) based on antibody properties
Column Performance Comparison:
Elution Strategy:
Test different elution conditions to maximize recovery while preserving protein activity
Consider gentle elution with competing peptides for sensitive applications
Immediately neutralize harsh elution buffers to prevent protein denaturation
Applications for Purified Protein:
Highly purified ZG16B can be used for structural studies, binding assays, and functional characterization
Purified protein can serve as standards in diagnostic assays
This methodological framework provides a robust approach for generating highly purified ZG16B protein using immunoaffinity techniques.
ZG16B antibodies serve as critical tools for elucidating cancer pathogenesis mechanisms and developing novel therapeutic strategies. Several advanced research applications demonstrate their utility:
Biomarker Validation Studies:
ZG16B is overexpressed in pancreatic adenocarcinoma and associated with poor prognosis in epithelial ovarian cancer
Antibodies enable quantitative assessment of ZG16B expression across tumor types and stages
Correlation of expression with clinical outcomes can validate ZG16B as a prognostic biomarker
Mechanistic Investigations:
Therapeutic Target Validation:
Companion Diagnostic Development:
ZG16B antibodies can be incorporated into diagnostic tests to identify patients likely to benefit from ZG16B-targeted therapies
Integration with immunohistochemistry platforms for clinical implementation
Antibody-Drug Conjugate (ADC) Research:
ZG16B's expression profile makes it a candidate target for ADC development
Monoclonal antibodies can be assessed for internalization efficiency
Conjugation with cytotoxic payloads can create targeted therapeutic candidates
By leveraging ZG16B antibodies in these advanced applications, researchers can gain deeper insights into cancer biology and accelerate the development of novel diagnostic and therapeutic approaches.
Researchers working with ZG16B antibodies may encounter several technical challenges. Here are methodological solutions for common issues:
Low Signal Intensity in Western Blot:
Problem: Insufficient protein detection despite adequate loading
Solutions:
Increase antibody concentration (up to 2-5 μg/mL)
Extend incubation time (overnight at 4°C)
Use more sensitive detection systems (ECL Plus/Femto)
Ensure reducing conditions are maintained (ZG16B requires reducing conditions for optimal detection)
Verify sample preparation maintains protein integrity
High Background in Immunohistochemistry:
Problem: Non-specific staining obscuring specific signals
Solutions:
Optimize blocking conditions (increase BSA concentration or add non-fat milk)
Perform antigen retrieval optimization (ZG16B detection requires heat-induced epitope retrieval with basic pH reagents)
Include additional washing steps with increased stringency
Titrate primary antibody concentration (optimal: 10-20 μg/mL)
Include proper negative controls (isotype-matched antibodies)
Variable Results Across Tissue Types:
Problem: Inconsistent staining patterns in different tissues
Solutions:
Standardize tissue fixation protocols
Adjust antibody concentration based on tissue type
Optimize incubation times for specific tissues
Consider tissue-specific blocking reagents to reduce background
Failed Detection in Neutralization Assays:
Problem: Inability to observe neutralizing effects
Solutions:
Cross-Reactivity Concerns:
Problem: Potential cross-reactivity with related proteins (e.g., ZG16P)
Solutions:
Perform control experiments with tissues/cells lacking ZG16B but expressing related proteins
Use multiple antibodies targeting different epitopes to confirm specificity
Include antibody validation using genetic knockdown/knockout models
By implementing these methodological solutions, researchers can overcome common technical challenges in ZG16B detection and analysis.
The format of anti-ZG16B antibodies significantly impacts their performance in various applications. Understanding these differences enables researchers to select optimal reagents for specific experimental goals:
Single Chain Fragment Variable (scFv) vs. Full IgG Formats:
Research Findings: Antibodies in scFv format may show different reactivity compared to full IgG or Fc-fused formats. For example, Ab4 (scFv format) showed no reactivity with BmR1 in rapid tests, while Ab4-Fc (Fc-fused format) showed positive reaction .
Implications for ZG16B Studies:
Select scFv formats for applications requiring tissue penetration
Choose Fc-fused formats for applications requiring increased stability or Fc-mediated functions
Consider full IgG formats for applications requiring bivalent binding
Monoclonal vs. Polyclonal Considerations:
Monoclonal Advantages: Provide consistent specificity for single epitopes and batch-to-batch reproducibility
Polyclonal Advantages: Recognize multiple epitopes, potentially increasing detection sensitivity
Application Guidance:
For precise epitope mapping or neutralization studies: use monoclonal antibodies
For maximum detection sensitivity: consider polyclonal antibodies
Impact of Conjugation on Performance:
Gold Nanoparticle Conjugation: Successful conjugation of rmAb proteins to gold nanoparticles enables direct detection in lateral flow formats
Enzymatic Conjugation: HRP-conjugated antibodies provide sensitive detection in Western blot and IHC applications
Optimization Considerations:
Monitor protein activity post-conjugation
Adjust antibody:conjugate ratios based on application requirements
Consider orientation-controlled conjugation methods for maximal activity retention
Combinatorial Approaches:
Format Selection Based on Target Accessibility:
Membrane-Associated ZG16B: Detected primarily in cytoplasm and plasma membranes of cancer cells
Secreted ZG16B: Requires antibodies optimized for detection in solution phase
Format Guidance:
For membrane-associated ZG16B: standard IgG formats work effectively
For secreted ZG16B: consider higher-affinity antibodies or sandwich detection approaches
These considerations should guide researchers in selecting optimal antibody formats for specific ZG16B research applications.
Several cutting-edge technologies show promise for expanding ZG16B antibody applications in cancer research:
Single-Cell Analysis Technologies:
Integration of ZG16B antibodies with mass cytometry (CyTOF) for multi-parameter analysis
Spatial transcriptomics combined with ZG16B protein detection to map expression in tumor microenvironments
Single-cell proteomics to correlate ZG16B expression with cellular phenotypes
Advanced Imaging Applications:
Super-resolution microscopy with fluorescently-labeled ZG16B antibodies to study subcellular localization
Intravital imaging using labeled antibodies to track ZG16B dynamics in vivo
Multiplexed ion beam imaging (MIBI) to simultaneously detect ZG16B and other cancer markers
Antibody Engineering Innovations:
Bispecific antibodies targeting ZG16B and immune effector cells for immunotherapy applications
pH-sensitive antibodies for targeted intracellular delivery
Antibody fragments engineered for enhanced tissue penetration and tumor targeting
Theranostic Applications:
Development of ZG16B antibodies conjugated to imaging agents and therapeutic payloads
Combined diagnostic and therapeutic functionality in a single molecular entity
Patient-specific response monitoring through molecular imaging
Artificial Intelligence Integration:
AI-assisted image analysis for quantitative assessment of ZG16B expression patterns
Machine learning algorithms to correlate ZG16B expression with treatment responses
Computational approaches to predict optimal antibody designs for specific applications
Liquid Biopsy Development:
ZG16B antibodies for detection of circulating tumor cells
Exosome capture and analysis using anti-ZG16B antibodies
Development of ultrasensitive assays for free ZG16B protein in biological fluids
These emerging technologies have the potential to significantly expand the utility of ZG16B antibodies in both basic research and clinical applications.
ZG16B antibodies have significant potential to advance personalized cancer therapy through several methodological approaches:
Biomarker-Guided Patient Stratification:
ZG16B expression has been linked to poor prognosis and chemoresistance in epithelial ovarian cancer
Standardized immunohistochemistry protocols using validated antibodies could identify patients likely to benefit from ZG16B-targeted therapies
Quantitative assessment of expression levels might predict treatment response probability
Monitoring Treatment Response:
Serial sampling and ZG16B quantification could track treatment efficacy
Development of minimally invasive methods (liquid biopsies) using sensitive ZG16B detection
Correlation of ZG16B expression changes with clinical outcomes to optimize treatment protocols
Combination Therapy Optimization:
Given ZG16B's role in multiple signaling pathways, antibody-based assays could identify optimal combination partners
Analysis of pathway activation (CXCR4, TPL2, β-catenin, TPL2/MEK/ERK, FAK/Src) to guide rational drug combinations
Functional assays using neutralizing antibodies to predict efficacy of targeted therapies
Therapeutic Antibody Development:
Several ZG16B antibody drugs are reportedly in clinical stages for pancreatic and ovarian cancer treatment
Optimization of antibody properties (affinity, specificity, effector functions) based on individual tumor characteristics
Development of antibody-drug conjugates with payload selection informed by tumor molecular profiles
Immunotherapy Enhancement:
Resistance Mechanism Identification:
ZG16B antibodies can help characterize resistance mechanisms in tumors that progress during therapy
Dynamic monitoring of expression and signaling pathway activation
Rational design of salvage therapies based on molecular profiling
These approaches highlight the potential of ZG16B antibodies to contribute significantly to the advancement of personalized cancer therapy strategies.