HRP-conjugated SOX9 antibodies reliably detect SOX9 at ~56–75 kDa in lysates from cell lines like HeLa, SW480, and Hep3B . For example:
Abcam (ab185230): Validated in CRISPR-Cas9-edited HCT116 cells, showing a band at 56 kDa in wild-type lysates absent in SOX9-knockout lines .
R&D Systems (AF3075): Detected SOX9 in Hep3B hepatocellular carcinoma cells, with cross-reactivity observed for SOX10 in ELISA .
Novus Biologicals (NBP3-08399H): Demonstrated nuclear staining in formalin-fixed paraffin-embedded human tissues, supporting SOX9’s role in stem cell maintenance and cancer progression .
GeneTex (GTX01545): Used to localize SOX9 in human colon tissue, highlighting its expression in basal epithelial cells .
Cancer Research: HRP-conjugated SOX9 antibodies identified SOX9 overexpression in hepatocellular carcinoma (HCC), correlating with poor differentiation and shorter survival .
Chromatin Remodeling: Studies using these antibodies revealed SOX9’s competition with AP1 and SWI/SNF complexes to regulate enhancer accessibility during cell fate determination .
Hepatocellular Carcinoma: SOX9 upregulation in HCC tumors (46.4% of cases) was linked to chemoresistance and tumorsphere formation, validated via Western blot and IHC .
Prostate Cancer: SOX9 supports tumor invasion by maintaining luminal epithelial cell survival, as shown in xenograft models .
Chondrogenesis: SOX9 regulates COL2A1 and ACAN expression in cartilage, with HRP-based assays confirming its interaction with MLL3/4 histone modifiers .
Sex Determination: SOX9 antibody staining in fetal gonads revealed its necessity for Sertoli cell differentiation .
SOX9 belongs to the SOX (SRY-like HMG box) family of transcription factors with diverse roles in development. It is expressed in mesenchymal progenitors that give rise to chondrocytes and osteoblasts, as well as in the central nervous system, neural crest, intestine, pancreas, and testis. Mutations in SOX9 are associated with defects in sex determination, cartilage and bone development, and abnormalities of the heart, kidneys, brain, gut, and pancreas . SOX9's critical role in multiple developmental processes makes it an important target for understanding tissue differentiation, organ development, and disease pathogenesis.
SOX9 antibodies are utilized across multiple experimental platforms:
Western blotting for protein expression analysis in cell and tissue lysates
Immunocytochemistry/Immunofluorescence for cellular and subcellular localization
Direct ELISA for quantitative detection and antibody validation
Immunohistochemistry for tissue-specific expression patterns
Flow cytometry for identifying SOX9-expressing cell populations
These applications enable researchers to investigate SOX9 expression, regulation, and function in various biological contexts ranging from normal development to disease states.
HRP-conjugated SOX9 antibodies have the horseradish peroxidase enzyme directly attached to the antibody that recognizes SOX9. This conjugation eliminates the need for a secondary antibody step, streamlining detection protocols and potentially reducing background signal. In contrast, non-conjugated antibodies require a secondary antibody (often HRP-conjugated) to bind to the primary antibody for detection. The search results show examples where non-conjugated primary antibodies were used with HRP-conjugated secondary antibodies for detection in Western blots and immunohistochemistry applications .
For optimal Western blot detection of SOX9, the following conditions have been validated:
| Parameter | Recommended Conditions |
|---|---|
| Sample preparation | 30 μg protein under reducing conditions |
| Gel electrophoresis | 5-20% SDS-PAGE at 70V (stacking)/90V (resolving) for 2-3 hours |
| Membrane transfer | To nitrocellulose at 150 mA for 50-90 minutes |
| Blocking | 5% non-fat milk/TBS for 1.5 hours at room temperature |
| Primary antibody | Anti-SOX9 at 0.5 μg/mL or 1:500 dilution overnight at 4°C |
| Secondary antibody | HRP-conjugated Anti-Goat/Rabbit IgG at 1:1000 for 1.5 hours at RT |
| Detection | Enhanced Chemiluminescent detection (ECL) kit |
| Expected band size | Approximately 70-75 kDa (56 kDa theoretical) |
A specific band for SOX9 is typically detected at approximately 75 kDa, with GAPDH often used as a loading control .
For effective immunocytochemistry/immunofluorescence detection of SOX9:
Use immersion fixation for cells
Apply SOX9 antibody at 10 μg/mL concentration
Incubate for 3 hours at room temperature
Use appropriate fluorophore-conjugated secondary antibody (e.g., NorthernLights 557-conjugated Anti-Goat IgG)
Counterstain with DAPI to visualize nuclei
Expect nuclear localization of SOX9 staining
In embryonic stem cells and progenitor cells, SOX9 shows specific nuclear localization that can be effectively visualized using these protocols .
SOX9 antibodies have been validated in diverse biological specimens:
| Cell/Tissue Type | Applications | Key Observations |
|---|---|---|
| HeLa, KATO-III, COLO 205, Hep3B | Western blot | Specific band at ~75 kDa |
| HEK293 cells | Immunofluorescence | Nuclear localization |
| BG01V embryonic stem cells | Immunofluorescence | Nuclear staining in lung progenitors |
| Colorectal adenocarcinoma tissue | Immunohistochemistry | Nuclear expression pattern |
| Liver cancer tissue | Immunohistochemistry | Cancer-specific expression |
| Airway basal cells (SOX9+ BCs) | Immunofluorescence | Co-expression with P63, KRT5 markers |
These validated systems provide reference points for researchers using SOX9 antibodies in similar or novel contexts .
SOX9 antibodies may exhibit cross-reactivity with related proteins, particularly other SOX family members. The search results indicate approximately 25% cross-reactivity with recombinant human SOX10 in direct ELISAs for some antibodies . To minimize cross-reactivity concerns:
Select antibodies with validated specificity through multiple techniques
Include appropriate positive and negative controls
Validate specificity in your specific experimental system
Consider using multiple antibodies targeting different SOX9 epitopes
Perform validation experiments such as antibody neutralization
Verify results with complementary techniques (e.g., qPCR)
These strategies help ensure that observed signals are specific to SOX9 rather than related proteins.
Detecting SOX9 presents several technical challenges:
Variable expression levels: SOX9 expression can vary significantly between cell types and developmental stages
Nuclear localization: As a transcription factor, SOX9 localizes primarily to nuclei, requiring effective nuclear extraction protocols
Post-translational modifications: SOX9 undergoes modifications that affect molecular weight and antibody recognition
Molecular weight variations: SOX9 appears at different molecular weights (56-107 kDa) depending on context
Background signal: Non-specific binding can occur, especially in immunohistochemistry
To address these challenges, optimize protocols for each specific cell type and application, and include appropriate controls to validate specificity of detection .
To ensure SOX9 antibody specificity:
Use multiple antibodies targeting different epitopes of SOX9
Include proper positive controls (cells/tissues known to express SOX9) and negative controls
Perform knockdown experiments to confirm signal reduction
Compare staining patterns with published SOX9 expression patterns
Conduct peptide competition assays
Verify results using complementary techniques (e.g., Western blot, qPCR)
Check for expected subcellular localization (primarily nuclear)
The search results demonstrate validation approaches including detection of SOX9 in multiple cell lines and consistent nuclear staining patterns .
SOX9 antibodies can reveal important interactions between SOX9 and the TGF-β pathway:
The search results demonstrate that TGF-β1 treatment stabilizes SOX9 protein without affecting SOX9 mRNA levels in bovine chondrocytes. Western blot analysis using SOX9 antibodies showed increased SOX9 protein levels after 4-6 hours of TGF-β1 treatment despite unchanged mRNA expression. This was accompanied by increased phosphorylated SMAD3, confirming activation of TGF-β signaling .
To investigate these interactions:
Design time-course experiments with TGF-β treatment
Use SOX9 antibodies alongside phospho-SMAD3 antibodies
Examine correlations between pathway activation and SOX9 stability
Explore downstream effects on SOX9 target genes like PAPSS2
This approach helps elucidate post-transcriptional regulation mechanisms of SOX9.
SOX9 antibodies offer valuable insights into cancer biology:
The search results show SOX9 expression in multiple cancer cell lines including HeLa (cervical), KATO-III (gastric), COLO 205 (colorectal), and Hep3B (hepatocellular) . Additionally, immunohistochemistry demonstrates SOX9 expression in colorectal adenocarcinoma and liver cancer tissues .
Particularly interesting is the finding that HGF stimulation enhances SOX9 expression in cancer cells while simultaneously regulating cancer stem cell markers (CD49b, CD49f, CD44, CD24). Western blot analysis showed enhancement of SOX9 expression upon HGF stimulation from 2 to 24 hours, suggesting SOX9 may play a role in cancer stem cell properties .
These applications enable researchers to investigate SOX9's role in tumorigenesis, cancer stem cells, and potential therapeutic interventions.
SOX9 antibodies are powerful tools for developmental and stem cell research:
The search results demonstrate SOX9 detection in embryonic stem cells differentiated into early proximal lung progenitor cells, showing nuclear localization . Additionally, SOX9+ basal cells (BCs) in human airways have been characterized using SOX9 antibodies in combination with other markers (P63, KRT5, CC10, KI67) .
SOX9 antibodies can be used to:
Track lineage specification during differentiation protocols
Identify SOX9+ progenitor populations in developing tissues
Monitor SOX9 expression through early and late passages of cultured progenitor cells
Analyze co-expression with other developmental markers
Validate gene expression studies at the protein level
qPCR and Western blotting with SOX9 antibodies have been used to compare progenitor cell marker expression between human lung samples and cultured SOX9+ basal cells through early (P2) and late (P8) passages .
SOX9 shows notable molecular weight variations across experimental systems:
| Detection Method | Observed Molecular Weight | Cell/Tissue Type |
|---|---|---|
| Western blot | ~75 kDa | HeLa, KATO-III, COLO 205, Hep3B |
| Western blot | ~70 kDa | Hela, CACO-2, SW620, PC-12, mouse brain |
| Simple Western | ~107 kDa | Crohn's tissue |
| Expected size | 56 kDa | Theoretical |
These variations likely reflect:
Post-translational modifications (phosphorylation, SUMOylation)
Tissue/cell-specific processing
Experimental conditions affecting protein migration
Potential protein complex formation
When interpreting results, researchers should consider these factors and validate findings using appropriate controls .
When comparing SOX9 protein levels:
Loading controls: Use appropriate housekeeping proteins (e.g., GAPDH) for normalization
Antibody consistency: Maintain consistent antibody concentrations across experiments
Detection parameters: Use identical exposure times and imaging settings
Biological replication: Include sufficient biological replicates (n=3 minimum)
Statistical analysis: Apply appropriate statistical tests for significance
Sample handling: Control for variations in extraction efficiency, especially for nuclear proteins
The search results demonstrate proper use of loading controls (GAPDH) in Western blots and adequate biological replication (n=3) in qPCR analyses .
For analyzing SOX9 in complex tissues:
Use multiplexed immunofluorescence with SOX9 and other markers
Perform co-localization studies to identify specific cell populations
Consider sequential sections when antibody compatibility is an issue
Apply digital image analysis for quantitative assessment
Validate findings with multiple techniques (e.g., FACS, qPCR)
The search results show co-staining of SOX9 with markers like P63, KRT5, and CC10 in airway epithelium, and flow cytometry analysis of SOX9 expression in relation to CD44/CD24 populations in cancer cells . These approaches can reveal cell-type specific expression patterns and regulatory relationships in heterogeneous tissues.