VTCN1/B7-H4 inhibits T-cell proliferation, cytokine production, and cell cycle progression, enabling immune escape in tumors . Antibodies targeting VTCN1 are designed to block this immunosuppressive interaction, reactivating antitumor immunity.
Structure: Contains a V-set immunoglobulin domain and nuclear localization sequence (NLS) .
Expression: Overexpressed in cancers (e.g., breast, ovarian, gastric) and associated with poor prognosis .
Role: Functions as a cytoplasmic-nuclear shuttle protein, influencing tumor cell proliferation and metastasis .
Commercial and research-grade VTC1 antibodies are engineered for specificity and functionality.
| Parameter | Specification |
|---|---|
| Target | Human VTCN1 (B7-H4) |
| Host Species | Rabbit |
| Applications | WB, IHC, ICC, IP |
| Immunogen Region | Pro153–Thr241 |
| Accession Number | Q7Z7D3 |
| Gene ID | 79679 |
| Reactivity | Human (Homo sapiens) |
| Conjugate | Unconjugated |
| Purification | Affinity-purified |
This antibody has been validated for detecting VTCN1 in diverse cancer models, supporting its utility in diagnostic and therapeutic research .
A pan-cancer analysis revealed VTCN1’s overexpression in 12 tumor types, correlating with poor survival and serving as an independent risk factor :
VTCN1 expression also correlates with tumor mutational burden (TMB) and microsatellite instability (MSI) in 10 and 7 cancer types, respectively .
Bispecific Antibodies: A B7-H4/CD3-bispecific Fab-scFv antibody demonstrated potent antitumor activity in vitro and in vivo, redirecting T cells to lyse B7-H4+ breast cancer cells (EC50: 0.1–1.0 nM) .
Immune Cell Infiltration: VTCN1 expression inversely correlates with CD8+ T-cell infiltration in tumors, suggesting its blockade could enhance immune activity .
Validation: Antibodies must undergo rigorous testing for cross-reactivity and batch consistency. For example, Biomatik’s antibody was validated across WB, IHC, and IP .
Challenges: Structural instability of early anti-B7-H4 monoclonal antibodies limited efficacy, prompting engineering of bispecific formats .
KEGG: sce:YER072W
STRING: 4932.YER072W
VTC1 (GDP-mannose pyrophosphorylase) is a critical enzyme in the ascorbic acid (AsA) biosynthetic pathway, playing an essential role in vitamin C production in plants. This enzyme catalyzes the conversion of glucose-1-phosphate to GDP-mannose, a rate-limiting step in AsA biosynthesis. Antibodies against VTC1 are invaluable research tools for investigating the regulation of AsA biosynthesis, protein-protein interactions involving VTC1, and its degradation mechanisms.
Research has demonstrated that VTC1 interacts with CSN5B, a component of the COP9 signalosome (CSN), which modulates ascorbic acid synthesis. This interaction represents a critical regulatory mechanism for vitamin C production in response to environmental signals . Antibodies against VTC1 enable researchers to track protein expression, localization, and interactions, providing insights into how AsA biosynthesis is regulated at the molecular level.
Anti-VTC1 antibodies for research applications are typically generated using recombinant protein expression systems. Based on published methodologies, the process involves:
Cloning the full-length VTC1 cDNA into a bacterial expression vector
Expressing the recombinant VTC1 protein in Escherichia coli
Purifying the recombinant protein using affinity chromatography
Immunizing animals (typically rabbits) with the purified recombinant VTC1
Collecting and purifying the antibodies from serum
As documented in recent research, anti-VTC1 antibodies have been successfully generated by "injecting E. coli–expressed recombinant VTC1 into rabbits" for use in Western blotting and other detection methods . The specificity of these antibodies is critical for research applications and should be validated using appropriate controls, including vtc1 mutant tissues or cell extracts.
VTC1 antibodies serve multiple experimental purposes across plant molecular biology and biochemistry. Common applications include:
Protein Detection and Quantification:
Western blotting to monitor VTC1 protein levels in different tissues or under various treatments
Immunoprecipitation to isolate VTC1 and associated proteins
ELISA for quantitative measurement of VTC1 levels
Protein-Protein Interaction Studies:
Co-immunoprecipitation (CoIP) assays to identify VTC1-interacting proteins
Pull-down experiments to confirm direct protein interactions
Bimolecular fluorescence complementation (BiFC) assays to visualize interactions in vivo
Localization Studies:
Immunohistochemistry to determine tissue-specific expression
Subcellular fractionation followed by immunoblotting to analyze distribution between nuclear and cytoplasmic compartments
Immunoelectron microscopy for high-resolution localization studies
Research has demonstrated that VTC1 antibodies are effective in CoIP assays for detecting interactions with CSN5B and other components of the COP9 signalosome complex . These antibodies have also been employed in gel filtration chromatography experiments to demonstrate that VTC1 co-fractionates with CSN complex components .
When utilizing VTC1 antibodies, proper experimental controls are essential to ensure result validity and interpretation. Recommended controls include:
| Control Type | Description | Purpose |
|---|---|---|
| Negative Controls | Samples from vtc1 knockout mutants | Verify antibody specificity |
| Secondary antibody-only samples | Detect non-specific binding | |
| Pre-immune serum | Establish baseline reactivity | |
| Positive Controls | Tissues known to express VTC1 | Confirm assay functionality |
| Recombinant VTC1 protein | Verify detection capability | |
| Loading Controls | Housekeeping proteins (actin, tubulin) | Normalize protein loading |
| Competition Controls | Pre-incubation with recombinant VTC1 | Demonstrate binding specificity |
| Cross-reactivity Controls | Testing on related proteins | Establish antibody specificity |
In published VTC1 research, antibodies against actin or β-tubulin have been used effectively as loading controls when examining VTC1 protein levels in various experimental conditions . Additionally, when studying VTC1 degradation kinetics, appropriate controls included proteasome inhibitor (MG132) treatment alongside DMSO vehicle controls .
Optimizing VTC1 antibodies for protein-protein interaction studies requires careful consideration of several methodological factors:
Antibody Selection and Modification:
Use affinity-purified antibodies to minimize non-specific interactions
Consider epitope-specific antibodies when particular domains are of interest
For pull-down assays, covalently cross-link antibodies to solid supports to prevent interference with binding partners
Buffer Optimization:
Adjust salt concentration to balance specificity with sensitivity (typically 150-300mM NaCl)
Test various detergents (NP-40, Triton X-100) at different concentrations
Include protease inhibitors to prevent degradation of interaction complexes
Experimental Design:
Validate interactions using multiple complementary techniques (CoIP, BiFC, yeast two-hybrid)
Perform reciprocal immunoprecipitations when antibodies to both proteins are available
Consider size-exclusion chromatography to confirm complex formation
Research exploring VTC1-CSN5B interactions utilized multiple complementary approaches, including yeast two-hybrid screens, CoIP assays, pull-down experiments, and BiFC assays . This comprehensive strategy confirmed that "the N-terminal region of VTC1 interacts with the N-terminal region of CSN5B in plants" . Additionally, gel filtration experiments demonstrated that VTC1 co-fractionated with CSN complex components, indicating it forms part of a high-molecular-weight complex .
Investigation of VTC1 ubiquitination requires specialized experimental conditions due to the transient nature of ubiquitinated intermediates. Key methodological considerations include:
Sample Preparation:
Extract proteins using denaturing buffers containing urea (4-8M) to disrupt protein interactions and inhibit deubiquitinating enzymes
Include proteasome inhibitors (e.g., MG132) to prevent degradation of ubiquitinated proteins
Add deubiquitinase inhibitors (N-ethylmaleimide) to preserve ubiquitin attachments
Immunoprecipitation Strategy:
Use tandem purification approaches with antibodies to both VTC1 and ubiquitin
Consider using tagged ubiquitin constructs (His6-Ub, HA-Ub) for enhanced detection sensitivity
Perform immunoprecipitation under both native and denaturing conditions for complementary insights
Detection Methods:
Employ specific anti-ubiquitin antibodies that recognize different ubiquitin chain topologies
Look for characteristic laddering pattern in Western blots indicative of polyubiquitination
Consider mass spectrometry to identify specific ubiquitinated lysine residues
Published research on VTC1 ubiquitination extracted total proteins from seedlings "with buffer containing 50 mM Tris-HCl, pH 7.5, 150 mM NaCl, 0.1% Nonidet P-40, 4 M urea, and 1 mM PMSF" . The proteins were immunoprecipitated with anti-HA-tagged antibodies in the presence of 50 μM MG132, and the immunoprecipitation products were analyzed by immunoblotting with both anti-HA and anti-ubiquitin antibodies . This approach successfully detected "higher molecular mass forms of VTC1-HA" and confirmed "the VTC1-HA fusion was linked with polyubiquitin" .
VTC1 antibodies are valuable tools for studying protein stability and turnover dynamics. Effective experimental approaches include:
Cycloheximide Chase Assays:
Treat samples with cycloheximide to inhibit new protein synthesis
Collect samples at multiple time points after treatment
Use VTC1 antibodies to track protein degradation kinetics via Western blotting
Pulse-Chase Analysis:
Label proteins with radioactive amino acids or non-radioactive labels
Chase with non-labeled amino acids
Immunoprecipitate VTC1 and measure signal decay over time
Proteasome Inhibitor Studies:
Compare VTC1 levels with and without proteasome inhibitors (MG132, bortezomib)
Monitor accumulation of higher molecular weight ubiquitinated forms
Determine if degradation occurs via the 26S proteasome pathway
Research on VTC1 stability utilized cycloheximide chase experiments where "seedlings were incubated in liquid MS medium containing 500 μM cycloheximide with or without light (50 μmol/m2/s)" . This approach, combined with proteasome inhibition studies using MG132, confirmed that "VTC1 protein accumulated to a greater degree in the MG132-pretreated samples than in the DMSO-pretreated samples," indicating that "CSN5B to promote VTC1 degradation may be mediated through the 26S proteasome system" .
Detecting native VTC1 versus tagged recombinant versions presents several technical challenges that can be addressed through specific methodological approaches:
Antibody Selection:
Generate antibodies against multiple epitopes within VTC1
Use peptide antibodies for regions unaffected by tags
Consider monoclonal antibodies for increased specificity
Signal Enhancement Strategies:
Implement tyramide signal amplification for low-abundance native protein
Use biotin-streptavidin systems to amplify detection sensitivity
Consider chemiluminescent substrates with extended signal duration
Fractionation Approaches:
Enrich samples through subcellular fractionation to concentrate the protein
Use size-exclusion or ion-exchange chromatography to separate VTC1-containing complexes
Implement immunoaffinity purification to isolate and concentrate VTC1 before detection
Published research addressing these challenges employed various approaches, including using anti-VTC1 antibodies generated against the full recombinant protein for detecting both native and tagged versions . For complex samples, gel filtration chromatography was used to identify VTC1-containing complexes, with proteins from fractions "concentrated using acetone precipitation" before immunoblot analysis .
Investigating VTC1 subcellular localization and trafficking dynamics requires specialized applications of VTC1 antibodies:
Immunofluorescence Microscopy:
Fix and permeabilize cells/tissues appropriately
Use VTC1 antibodies with fluorescent secondary antibodies
Co-stain with organelle markers for precise localization
Subcellular Fractionation:
Isolate nuclear, cytoplasmic, and membrane fractions
Analyze VTC1 distribution by immunoblotting
Quantify relative abundance across compartments
Immuno-Electron Microscopy:
Fix samples using techniques that preserve antigenicity
Label with VTC1 antibodies and gold-conjugated secondary antibodies
Analyze high-resolution images for precise subcellular distribution
Published research has demonstrated that VTC1 exhibits dual localization patterns. Using subcellular fractionation techniques with nuclear and cytoplasmic isolation, researchers found that "VTC1-HA was detected in both the nucleus and the cytoplasm" . This dual localization is functionally significant as it relates to the interaction with the CSN complex which is "predominantly localized to the nucleus," while "the d-Man/l-Gal pathway exists in the cytoplasm" .
When researchers encounter inconsistent results with VTC1 antibodies, systematic troubleshooting approaches can help identify and resolve issues:
Antibody Validation:
Re-test antibody specificity against recombinant VTC1 and tissue samples
Verify antibody performance using independent lots or sources
Consider epitope mapping to confirm recognition sites
Protocol Optimization:
Systematically vary antigen retrieval methods for fixed tissues
Test multiple blocking agents (BSA, milk, gelatin) at different concentrations
Adjust antibody concentration, incubation time, and temperature
Sample-Related Factors:
Ensure consistent sample preparation and protein extraction methods
Consider protein modification states that might mask epitopes
Verify protein denaturation conditions for Western blotting applications
Analytical Approach:
Document all experimental variables meticulously
Implement quantitative analysis of results when possible
Use positive controls consistently across experiments
In published VTC1 research, optimization strategies included using "affinity-purified antibodies" and applying special sample preparation techniques for different applications . For co-immunoprecipitation experiments, researchers developed specific buffers and washing conditions to minimize background while preserving true interactions .
Integrating VTC1 antibodies with complementary techniques provides comprehensive insights into AsA regulation mechanisms:
Multi-Level Analysis Framework:
Combine transcriptomics (RNA-seq) with VTC1 protein expression analysis
Correlate VTC1 protein levels with enzymatic activity measurements
Integrate subcellular localization data with interaction profiles
Functional Validation Approaches:
Use genetic manipulation (overexpression, CRISPR/Cas9) alongside antibody-based protein detection
Employ in vitro reconstitution assays with purified components
Implement pharmacological interventions targeting relevant pathways
Systems Biology Integration:
Map VTC1 interactions within the broader AsA regulatory network
Model temporal dynamics of VTC1 expression, localization, and degradation
Correlate environmental responses with changes in VTC1 status
Research examining VTC1-mediated AsA regulation successfully integrated multiple approaches, including protein-protein interaction studies (yeast two-hybrid, CoIP, BiFC), protein stability analyses (cycloheximide chase, proteasome inhibition), and AsA quantification via HPLC . This comprehensive approach enabled researchers to propose a regulatory model where "in the light VTC1 exists in a free form or as part of the CSN in cytoplasts and that stable VTC1 protein promotes AsA or glycoprotein synthesis," while "in the dark, VTC1 could enter the nucleus with the CSN through its interaction with CSN5B and subsequently be degraded by the 26S proteasome, resulting in lower AsA content" .
Proper analysis and presentation of quantitative data from VTC1 antibody studies requires rigorous statistical approaches and clear visualization methods:
Quantification Methods:
Use densitometry for Western blot band intensity measurement
Normalize to appropriate loading controls (β-tubulin, actin)
Apply standardized exposure times and image acquisition settings
Statistical Analysis:
Perform multiple independent biological replicates (minimum n=3)
Apply appropriate statistical tests based on data distribution
Include measures of variation (standard deviation, standard error)
Data Visualization:
Present normalized band intensities using bar graphs with error bars
For time-course experiments, use line graphs to show trends
Consider heatmaps for comparing multiple conditions or mutants
Reporting Standards:
Include raw blot images in supplementary materials
Clearly describe image processing steps
Report all statistical parameters including significance thresholds
In published VTC1 research, protein levels were quantified from immunoblots with appropriate normalization to loading controls. For instance, VTC1 protein accumulation experiments included actin or β-tubulin as loading controls to "examine the protein loading levels" . When analyzing VTC1 gene expression, researchers normalized transcript levels to internal control genes like Tubulin4 using quantitative PCR .
When different detection methods yield contradictory results for VTC1, systematic interpretation approaches can help resolve discrepancies:
Method-Specific Limitations:
Consider inherent sensitivity differences between techniques
Evaluate whether native protein conformation affects epitope accessibility
Assess whether sample preparation methods might alter VTC1 stability or modification
Antibody-Related Factors:
Compare epitope locations between different antibodies
Evaluate whether post-translational modifications might block specific epitopes
Consider cross-reactivity with related proteins
Biological Context:
Assess whether contradictions reflect genuine biological heterogeneity
Consider developmental stage-specific or stress-responsive regulation
Evaluate whether protein complex formation affects detection
Resolution Strategies:
Apply multiple independent antibodies targeting different epitopes
Use complementary detection methods with different principles
Implement genetic approaches (knockout/knockdown) for validation
In VTC1 research, potential contradictions between protein levels and activity were addressed by combining protein detection methods with functional assays. For example, researchers measured AsA levels using "HPLC using nicotinic acid as an internal standard" while simultaneously monitoring VTC1 protein levels under various conditions . This integrated approach helped establish causality between VTC1 protein abundance and AsA production capacity.
Adapting VTC1 antibodies for high-throughput screening requires optimization of several parameters:
Assay Miniaturization:
Convert traditional Western blots to dot blot formats
Develop ELISA-based detection systems in 96- or 384-well formats
Implement automated liquid handling systems for consistent results
Detection Methods:
Employ fluorescent secondary antibodies for multi-channel detection
Consider time-resolved fluorescence for improved signal-to-noise ratio
Implement automated image acquisition and analysis platforms
Validation Strategy:
Include known modulators of VTC1 as positive controls
Develop Z-factor metrics to assess assay quality
Implement orthogonal confirmation assays for hits
Data Management:
Design database structures for capturing multi-parameter data
Develop analysis pipelines for processing large datasets
Implement machine learning approaches for pattern recognition
While current literature does not specifically describe high-throughput applications of VTC1 antibodies, the established detection methods could be adapted for higher throughput formats. For instance, the demonstrated specificity of VTC1 antibodies in Western blot applications suggests potential for developing ELISA-based methods suitable for screening applications.
Several emerging technologies have potential to significantly enhance VTC1 antibody applications:
Proximity Labeling Approaches:
Adapt VTC1 antibodies for BioID or APEX2-based proximity labeling
Use antibodies to validate proximity labeling results
Develop antibody-enzyme fusion proteins for targeted labeling
Super-Resolution Microscopy:
Optimize VTC1 antibody labeling for STORM, PALM, or STED microscopy
Implement multi-color super-resolution imaging to visualize interaction networks
Combine with live-cell compatible tags for dynamic studies
Single-Cell Analysis:
Develop methods for detecting VTC1 in single-cell Western blotting
Implement CyTOF or antibody-based single-cell proteomics approaches
Combine with single-cell transcriptomics for multi-omic analysis
Synthetic Biology Applications:
Engineer antibody-based biosensors for real-time VTC1 activity monitoring
Develop split-protein complementation systems based on antibody recognition
Create optogenetic tools for controlling VTC1 activity through antibody-based targeting
While these emerging approaches have not been specifically reported for VTC1, the established specificity of existing antibodies provides a foundation for implementing these advanced technologies. Current research utilizing "bimolecular fluorescence complementation (BiFC) assay using Arabidopsis protoplasts to detect the interaction of VTC1 with full-length and N-terminal (MPN), but not C-terminal (ICA), CSN5B" demonstrates the potential for adapting VTC1 antibodies to more sophisticated imaging techniques.