STRING: 7955.ENSDARP00000105244
UniGene: Dr.132199
HOXC9 antibodies have been validated for multiple experimental applications with varying reliability. Based on published research and manufacturer data , the following applications have demonstrated consistent performance:
| Application | Reliability | Typical Dilution Range | Notes |
|---|---|---|---|
| Western Blot (WB) | High | 1:500-1:2000 | Most commonly validated application |
| Immunofluorescence (IF) | High | 0.25-2 μg/mL | Effective for subcellular localization studies |
| Immunohistochemistry (IHC) | Moderate-High | 1-5 μg/mL | Paraffin sections require appropriate antigen retrieval |
| Immunoprecipitation (IP) | Moderate | 2-5 μg per sample | Efficiency depends on antibody quality |
| Chromatin IP (ChIP) | Variable | Follow validated protocols | Critical for studying DNA-binding activity |
For optimal results, researchers should perform antibody titration experiments to determine ideal concentrations for their specific experimental conditions and sample types .
Proper control design is critical for accurate flow cytometry results with HOXC9 antibodies:
Essential controls:
Unstained controls: To establish baseline autofluorescence for each experimental condition
Single-stain compensation controls: Use the same reagents as in the experimental samples
Fluorescence Minus One (FMO) controls: Particularly important in multicolor panels to define background and spillover
Positive biological controls: Cell lines with known HOXC9 expression (e.g., gastric cancer cell lines like SGC7901 or MKN45)
Negative biological controls: Cell lines with confirmed absence of HOXC9 expression
Addressing non-specific binding:
Dead cell discrimination:
Remember that flow cytometry gates should be established based on FMO controls rather than isotype controls for more accurate discrimination of positive populations .
Optimizing HOXC9 immunostaining in cancer tissues requires attention to several critical factors:
Fixation and antigen retrieval:
Antibody selection and protocol optimization:
Cancer-specific considerations:
When analyzing results, researchers should compare HOXC9 expression patterns between normal and tumor tissues. Research has shown that upregulation of HOXC9 negatively regulates immune response in cancer tissues, which may have implications for immunotherapy selection .
The performance of HOXC9 antibodies differs significantly between Western blot and immunofluorescence applications due to differences in protein conformation and epitope accessibility:
For Western blot applications:
Select appropriate gel percentage (10-12% for HOXC9) for optimal resolution
Knockdown/knockout controls using HOXC9 siRNA are valuable for antibody validation
For immunofluorescence applications:
Test different fixation methods as they can affect epitope recognition
Include counterstaining markers to verify subcellular localization (nuclear for HOXC9)
Consider testing multiple antibody clones as epitope accessibility can vary in fixed tissues
Investigating Hox gene regulatory networks requires sophisticated experimental approaches using HOXC9 antibodies:
Chromatin Immunoprecipitation (ChIP) applications:
HOXC9 binds to multiple regions within Hox-a and Hox-c clusters, with the most over-represented binding motif being similar to in vitro determined Hox9 binding sites
ChIP protocol optimization:
Cross-linking: 1% formaldehyde at room temperature for 5 minutes
Cross-link termination: 125 mM glycine for 10 minutes
Sonication: Target 200-400 bp chromatin fragments
Immunoprecipitation: Use 2-5 μg of HOXC9 antibody per sample
For in vivo validation, thoracic spinal cord samples can be used, where most neurons express HOXC9
Analysis of repressive functions:
Integrated approaches:
Recent research has identified HOXC9 as a novel oncogene in gastric cancer, primarily through negatively regulating immune response . This finding suggests HOXC9 antibodies can be valuable tools for investigating the intersection of developmental Hox networks and cancer immunity.
Investigating HOXC9's role in immunotherapy resistance requires a multifaceted approach:
Patient sample analysis:
Compare HOXC9 expression between responders and non-responders to immunotherapy
Research indicates that responders to anti-PD-1 therapy show lower levels of HOXC9 expression
Submap algorithm analysis suggests patients with low HOXC9 expression may be more sensitive to anti-PD-1 therapy (Bonferroni-corrected P = 0.024)
Mechanistic studies:
Functional validation:
| Experimental Model | Key Findings | Applications |
|---|---|---|
| Cell lines (SGC7901, MKN45) | HOXC9 knockdown enhances IFNγ-dependent apoptosis | Mechanism studies |
| Patient-derived organoids | High HOXC9 expression correlates with IFNγ resistance | Translational research |
| Clinical datasets | Lower HOXC9 expression in immunotherapy responders | Biomarker development |
Research has demonstrated a high negative correlation between HOXC9 and p-STAT1 levels, indicating that HOXC9 negatively regulates the IFNγ signaling pathway in cancer cells, inducing resistance to IFNγ .
Conflicting HOXC9 staining patterns between techniques or samples require systematic troubleshooting:
Antibody validation:
Verify antibody specificity using positive and negative controls
Confirm results with multiple antibody clones targeting different epitopes
Use genetic approaches (siRNA, CRISPR) to validate antibody specificity
Check if antibody recognizes specific HOXC9 paralogs or orthologs (e.g., hoxc9a in zebrafish)
Technique-specific considerations:
Western blot: Ensure proper protein extraction from nuclear fractions as HOXC9 is a nuclear protein
IHC/IF: Test multiple fixation and antigen retrieval methods as they significantly impact epitope accessibility
Flow cytometry: Optimize permeabilization conditions for nuclear transcription factors
Sample-specific considerations:
Orthogonal validation:
Correlate protein expression with mRNA expression (qPCR, RNA-seq)
Use mass spectrometry to confirm antibody specificity
Employ functional assays to verify biological activity associated with HOXC9 expression
Researchers should note that HOXC9 has been found to have different functional roles depending on context. For example, it acts as an oncogene in gastric cancer but may have different roles in embryonic development .
When analyzing HOXC9 expression data in clinical contexts, several statistical approaches are recommended:
Research has demonstrated that patients in the HOXC9-high expression group showed lower fractions of 29 immune-related functions, suggesting HOXC9 could promote the formation of a "cold" tumor microenvironment with reduced immune cell infiltration .
HOXC9 antibodies offer valuable tools for investigating developmental pathway repurposing in cancer:
Developmental-cancer axis investigation:
HOXC9 plays crucial roles in anterior-posterior patterning during development, particularly in motor neuron specification
In cancer, HOXC9 functions as an oncogene through mechanisms similar to its developmental role - transcriptional regulation of key target genes
Use ChIP-seq with HOXC9 antibodies to identify shared binding sites between embryonic tissues and cancer samples
Motor neuron development to cancer connections:
During development, HOXC9 has essential roles in organizing the motor system through global repressive activities
Similarly, in cancer, HOXC9 exhibits broad repressive functions on multiple genes including DAPK1
Comparative analysis of HOXC9-regulated genes in neural development versus cancer can reveal conserved pathways
Stem cell regulation:
Research has shown that retinoic acid (RA) signaling regulates HOXC9 expression in both development and cancer contexts. In colorectal cancer cell lines, ATRA treatment significantly reduced HOXC9 expression in a time-dependent manner , providing insight into potential therapeutic approaches targeting developmental pathways.
Several innovative approaches are emerging to enhance HOXC9 antibody performance in complex tissues:
Advanced antibody engineering:
Multiplexed detection systems:
Mass cytometry (CyTOF) using metal-conjugated HOXC9 antibodies for high-dimensional analysis
Multiplexed immunofluorescence with spectral unmixing to reduce autofluorescence interference
Imaging mass cytometry for spatial analysis of HOXC9 in relation to the tumor microenvironment
Single-cell applications:
Optimization of HOXC9 antibodies for single-cell western blot
CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) to correlate HOXC9 protein expression with transcriptome
Single-cell ChIP-seq to analyze HOXC9 binding in heterogeneous tissues
Computational approaches:
Machine learning algorithms to improve antibody specificity prediction
Automated image analysis for quantitative assessment of HOXC9 staining patterns
Integrated multi-omics data analysis incorporating HOXC9 antibody-derived data
For researchers investigating zebrafish hoxc9a, specialized antibody development is ongoing, with custom antibody services offering validation through SDS-PAGE detection, ELISA titer guarantees, and Western blot validation with antigen .