To synthesize the COL10A1 antibody, a partial recombinant protein of the human collagen alpha-1(X) chain protein corresponding to the 521-680 amino acids was used to immunize a rabbit. The resulting COL10A1 antibody is an unconjugated IgG isoform that underwent antigen affinity purification.
Rigorous quality control of this COL10A1 polyclonal antibody has been performed in multiple applications, including ELISA, WB, and IHC, to ensure its reliability. It has been demonstrated to be reactive with human COL10A1 protein. The COL10A1 protein plays a role in bone development, angiogenesis, cell migration, and cancer progression.
This COL10A1 antibody was generated by immunizing a rabbit with a partial recombinant protein of the human collagen alpha-1(X) chain protein encompassing amino acids 521-680. The resulting antibody is an unconjugated IgG isoform purified through antigen affinity chromatography.
Rigorous quality control measures have been implemented for this COL10A1 polyclonal antibody, ensuring its reliability in multiple applications including ELISA, Western blotting, and immunohistochemistry. It has been validated for reactivity with human COL10A1 protein. The COL10A1 protein plays a critical role in bone development, angiogenesis, cell migration, and cancer progression.
Type X collagen is a product of hypertrophic chondrocytes and has been localized to the presumptive mineralization zones of hyaline cartilage.
COL10A1 encodes the protein 'collagen type X alpha 1 chain' in humans, also known as collagen alpha-1(X) chain. This 66.2 kilodalton protein plays a crucial role in the development and maintenance of hypertrophic chondrocytes within the growth plate of long bones, essential for proper endochondral ossification . Recent research has expanded COL10A1's significance beyond skeletal development to include its role as a potential biomarker in colorectal cancer and its involvement in the tumor microenvironment . Its dual relevance in both developmental biology and oncology makes COL10A1 a particularly interesting research target across multiple disciplines.
COL10A1 protein forms a distinct structural architecture crucial to its function. The protein consists of three identical alpha 1(X) chains that form a triple-helical region, which provides stability and functional capacity . This triple-helical domain is flanked by a short N-terminal sequence and a larger non-collagenous C-terminal (NC1) domain . The NC1 domain is particularly important for initiating the assembly of the triple helix and for interactions with other extracellular matrix components. Understanding these structural elements is essential when selecting antibodies targeting specific epitopes for different experimental applications.
Selecting the appropriate COL10A1 antibody depends on several factors related to your experimental design:
Species reactivity: Ensure the antibody detects COL10A1 in your species of interest. Available antibodies may react with human, mouse, rat, avian, or other species' COL10A1 .
Application compatibility: Different antibodies are optimized for specific applications such as Western blot (WB), immunohistochemistry (IHC), immunofluorescence (IF), or enzyme-linked immunosorbent assay (ELISA) . Select an antibody validated for your intended method.
Clonality: Consider whether a monoclonal antibody (like X-AC9) or polyclonal antibody best suits your needs. Monoclonals offer higher specificity for a single epitope, while polyclonals may provide stronger signals by binding multiple epitopes .
Conjugation: Determine whether you need a conjugated antibody (e.g., with HRP, PE, FITC, or Alexa Fluor®) or an unconjugated version, depending on your detection method .
Validation data: Review published literature or supplier data showing the antibody's performance in applications similar to yours.
For successful immunohistochemistry with COL10A1 antibodies, the following methodological approach is recommended:
Tissue preparation: Fix tissues in 10% neutral buffered formalin (24-48 hours) and embed in paraffin. Section at 4-6 μm thickness.
Antigen retrieval: Heat-induced epitope retrieval using citrate buffer (pH 6.0) is generally effective for COL10A1. Boil sections for 15-20 minutes followed by cooling to room temperature.
Blocking and primary antibody incubation: Block with 5% normal serum from the species of your secondary antibody for 1 hour at room temperature. Incubate with COL10A1 antibody at an optimized dilution (typically 1:100-1:500 depending on the specific antibody) overnight at 4°C .
Detection system: Use a detection system appropriate for your primary antibody (e.g., HRP-conjugated secondary antibody with DAB chromogen for brightfield microscopy or fluorophore-conjugated secondary antibody for fluorescence microscopy) .
Controls: Always include positive controls (tissues known to express COL10A1, such as growth plate cartilage) and negative controls (primary antibody omission and isotype controls).
For paraffin-embedded sections specifically, antibodies like X-AC9 have been validated and work effectively when following this protocol .
COL10A1 antibodies can provide valuable insights into the tumor microenvironment through these methodological approaches:
Multi-color immunofluorescence: Co-stain COL10A1 with markers for cancer-associated fibroblasts (CAFs) such as FAP, PDPN, and THY1, as COL10A1 shows strong positive correlation (r=0.89) with CAF signatures . This enables visualization of spatial relationships between COL10A1-expressing cells and other stromal components.
Sequential tissue sections: Perform immunohistochemistry on sequential sections with COL10A1 and immune cell markers like CD19 and CD79A (B cells) or CD163 and VSIG4 (M2 macrophages), which show significant correlation with COL10A1 expression (p<0.001) .
Quantitative analysis: Use digital image analysis to quantify COL10A1 staining intensity and distribution relative to immune cell infiltration and extracellular matrix parameters. COL10A1 expression correlates with elevated stromal immunity (r=0.84) and extracellular matrix scores (r=0.53) .
Functional assays: Combine antibody staining with functional assays to determine how COL10A1-expressing cells influence tumor invasiveness, as COL10A1 levels predict metastatic properties of colorectal cancer .
This multi-faceted approach allows for comprehensive characterization of COL10A1's role in the complex tumor microenvironment.
For optimal Western blot analysis of COL10A1:
Sample preparation:
For cellular samples: Lyse cells in RIPA buffer containing protease inhibitors
For tissue samples: Homogenize in RIPA buffer with additional collagenase inhibitors
For detection of secreted COL10A1: Concentrate cell culture supernatants
Protein separation: Use 8% SDS-PAGE to effectively resolve the 66.2 kDa COL10A1 protein .
Transfer conditions: Transfer to PVDF membrane at 30V overnight at 4°C for this relatively large protein.
Blocking and antibody incubation:
Block with 5% non-fat milk in TBST for 1 hour
Incubate with primary COL10A1 antibody (1:500-1:1000 dilution) overnight at 4°C
Wash thoroughly and incubate with appropriate HRP-conjugated secondary antibody
Detection optimization:
For weak signals: Consider using Signal Enhancer solutions
For high background: Increase washing steps and optimize antibody dilutions
For detection: Use sensitive chemiluminescence substrate appropriate for your expected signal strength
Controls: Include positive control (cell lines known to express COL10A1) and loading control (β-actin or GAPDH) to normalize expression levels .
Several monoclonal and polyclonal antibodies are validated for Western blot applications and can detect COL10A1 in human, mouse, and rat samples with high specificity .
Research has revealed significant correlations between COL10A1 expression and cancer progression characteristics:
| Cancer Characteristic | Correlation with COL10A1 | Statistical Significance |
|---|---|---|
| Histomorphological malignancy grading | Positive correlation | p<0.001 |
| Perineural invasion | Elevated expression | p<0.001 |
| Lymph node invasion | Elevated expression | p<0.001 |
| CAF presence | Strong positive (r=0.89) | p<0.001 |
| B cell infiltration | Moderate positive (r=0.19) | p<0.001 |
| Macrophage infiltration | Strong positive (r=0.66) | p<0.001 |
| Extracellular matrix score | Positive (r=0.53) | p<0.001 |
| Immune checkpoint markers (PD1, CD86, PDL1, CTLA4, LAG3, TIM3) | Positive correlation | p<0.001 |
These correlations suggest that COL10A1 serves as an indicator of tumor invasiveness and plays a role in modulating the immune microenvironment . The notably strong correlation with cancer-associated fibroblasts (CAFs) suggests COL10A1 may mediate interactions between tumor cells and stromal components. For researchers, these correlations provide rationale for investigating COL10A1 as both a biomarker and potential therapeutic target in cancer progression.
To investigate COL10A1's functional role in disease models, consider these methodological approaches:
Gene knockdown/knockout studies:
Use siRNA, shRNA, or CRISPR-Cas9 to reduce or eliminate COL10A1 expression in cell lines
Validate knockdown efficiency using validated COL10A1 antibodies in Western blot or immunofluorescence
Assess effects on cell proliferation, migration, invasion, and differentiation
Co-culture systems:
Establish co-cultures of tumor cells with fibroblasts to study COL10A1's role in tumor-stroma interactions
Perform immunofluorescence with COL10A1 antibodies to track protein localization and expression changes
Analyze conditioned media to measure secreted COL10A1 levels, as functional studies show strongest COL10A1 signal in cell supernatants
3D organoid models:
Develop organoid models incorporating tumor cells, stromal cells, and immune components
Use COL10A1 antibodies to visualize matrix organization and cellular interactions
Assess how modulating COL10A1 affects organoid formation and invasive properties
Animal models:
Generate or utilize COL10A1-deficient mouse models
Employ conditional knockouts for tissue-specific COL10A1 depletion
Use COL10A1 antibodies for tissue analysis at different disease stages
Rescue experiments:
Reintroduce wild-type or mutant COL10A1 in knockdown/knockout models
Use antibodies to confirm expression and localization of introduced protein
Evaluate phenotypic rescue to determine domain-specific functions
These approaches, combined with appropriate antibody-based detection methods, provide comprehensive strategies for elucidating COL10A1's functional roles in disease pathogenesis.
For analyzing COL10A1 in skeletal development and bone disorders:
Developmental tissue analysis:
Use COL10A1 antibodies for immunohistochemistry on growth plate sections at different developmental stages
Focus on the hypertrophic zone where COL10A1 is primarily expressed
Combine with markers of chondrocyte maturation (e.g., Runx2, MMP13) to assess differentiation stages
Pathological sample examination:
Apply validated COL10A1 antibodies on samples from patients with metaphyseal dysplasia type Schmid (SMCD) or related disorders
Compare expression patterns with age-matched controls
Analyze protein localization and potential structural abnormalities
In vitro chondrogenic differentiation models:
Use mesenchymal stem cells or ATDC5 cells induced toward chondrogenic lineage
Monitor COL10A1 expression during differentiation using immunofluorescence or Western blot
Correlate COL10A1 appearance with hypertrophic chondrocyte markers
Transgenic models of COL10A1 mutations:
Analyze growth plate architecture in models of SMCD using COL10A1 antibodies
Evaluate endochondral ossification defects
Assess intracellular retention versus secretion of mutant COL10A1 protein
Molecular interaction studies:
These approaches leverage COL10A1 antibodies for comprehensive investigation of skeletal development mechanisms and pathological processes in bone disorders.
Researchers frequently encounter these challenges when detecting COL10A1:
Low signal intensity:
Challenge: COL10A1 may be expressed at low levels in some tissues or may be difficult to detect due to protein conformation.
Solution: Use signal amplification methods such as tyramide signal amplification for IHC/IF or high-sensitivity ECL substrates for Western blot. Consider using antibodies conjugated to brighter fluorophores like Alexa Fluor® dyes .
High background in immunostaining:
Challenge: Non-specific binding, particularly in tissues with abundant collagen content.
Solution: Increase blocking time (2-3 hours), use specialized blocking reagents containing both serum and bovine serum albumin, and extend washing steps. Consider using monoclonal antibodies like X-AC9 which offer higher specificity .
Cross-reactivity with other collagens:
Challenge: Antibodies may cross-react with other collagen types due to sequence homology.
Solution: Select antibodies raised against the NC1 domain which is more unique to COL10A1. Validate specificity using tissues known to lack COL10A1 as negative controls.
Variable results across sample types:
Challenge: Different fixation methods can affect epitope accessibility.
Solution: Optimize antigen retrieval methods for each tissue type. For formalin-fixed samples, test both citrate (pH 6.0) and EDTA (pH 9.0) retrieval buffers to determine optimal conditions.
Secreted versus cellular protein detection:
By addressing these challenges methodically, researchers can achieve reliable and reproducible COL10A1 detection across various experimental systems.
When faced with conflicting COL10A1 expression data:
Consider methodological differences:
Different antibodies may target distinct epitopes, resulting in varying detection patterns
Antibody sensitivity varies between applications (WB, IHC, IF, ELISA)
Compare specificity controls and validation data for each antibody used
Evaluate biological variables:
Analysis approach reconciliation:
For transcriptomic vs. protein data conflicts, remember that mRNA levels may not directly correlate with protein abundance
When IHC and Western blot data conflict, consider that IHC detects localized protein while WB measures total protein
For single-cell vs. bulk tissue analysis discrepancies, note that single-cell analysis reveals COL10A1 is predominantly expressed in CAFs rather than tumor cells
Systematic validation strategy:
Use multiple antibodies targeting different epitopes
Employ complementary techniques (e.g., in situ hybridization alongside IHC)
Include appropriate positive controls (growth plate cartilage) and negative controls
When possible, validate findings with functional assays
This systematic approach helps reconcile seemingly contradictory data and build a more comprehensive understanding of COL10A1 biology.
For rigorous COL10A1 antibody-based experiments, include these essential controls:
Positive tissue controls:
Negative tissue controls:
Antibody controls:
Isotype control (matched immunoglobulin class at same concentration as primary antibody)
Primary antibody omission control
Absorption control (pre-incubation of antibody with immunizing peptide)
Expression validation controls:
Cell lines with confirmed COL10A1 expression (positive) and without expression (negative)
CRISPR knockout or siRNA knockdown samples to confirm specificity
Recombinant COL10A1 protein standards for Western blot
Multi-method validation:
Correlate protein detection with mRNA expression in the same samples
Compare data from multiple antibody clones targeting different epitopes
Cross-reference between techniques (e.g., Western blot versus IHC)
Implementing these controls ensures experimental rigor and supports confident interpretation of COL10A1 expression patterns across different biological contexts.
COL10A1 antibodies have significant potential in cancer biomarker development through several innovative approaches:
Prognostic stratification: COL10A1 antibodies can enable the development of immunohistochemical scoring systems for patient stratification. Research demonstrates that COL10A1 expression levels correlate with tumor invasiveness, perineural invasion, and lymph node metastasis in colorectal cancer . This can be leveraged to create a standardized scoring system to identify patients at higher risk of disease progression.
Multi-marker panels: Combining COL10A1 with other markers can enhance diagnostic accuracy. Research shows significant correlations between COL10A1 and immune checkpoint molecules (PD1, CD86, PDL1, CTLA4, LAG3, and TIM3) , suggesting potential for development of multi-marker IHC panels that simultaneously assess tumor biology and immune microenvironment.
Liquid biopsy applications: Developing highly sensitive immunoassays using COL10A1 antibodies could potentially detect soluble COL10A1 fragments in patient serum or plasma, offering minimally invasive monitoring options.
Tumor microenvironment characterization: COL10A1 antibodies can help identify critical stromal changes associated with cancer progression. The strong correlation between COL10A1 and cancer-associated fibroblasts (r=0.89) suggests its utility in monitoring stromal activation during carcinogenesis.
Therapeutic response monitoring: Serial analysis of COL10A1 expression using antibody-based methods could help monitor response to therapies targeting tumor-stroma interactions or extracellular matrix remodeling.
These applications represent promising avenues where COL10A1 antibodies can advance both basic cancer research and clinical biomarker development.
Several cutting-edge technologies are revolutionizing COL10A1 antibody-based research:
Multiplexed immunofluorescence and imaging mass cytometry:
Single-cell protein analysis:
Proximity ligation assays:
Enables in situ detection of protein interactions involving COL10A1
Helps identify binding partners in both normal development and disease contexts
Provides insights into COL10A1's molecular functions beyond structural roles
3D imaging technologies:
Light-sheet microscopy and optical clearing techniques
Allows visualization of COL10A1 distribution through entire tissue volumes
Particularly valuable for studying COL10A1's role in tissue architecture during development and disease
Antibody engineering approaches:
Development of single-domain antibodies with enhanced tissue penetration
Bi-specific antibodies that can simultaneously target COL10A1 and other markers
Integration with nanoparticle-based detection systems for enhanced sensitivity
These technological advances significantly expand the capabilities of COL10A1 antibody-based research, enabling more comprehensive analysis of this protein's complex roles in development and disease.
To effectively investigate the relationship between COL10A1 and the immune microenvironment:
Spatial transcriptomics and proteomics integration:
Apply COL10A1 antibodies in spatial proteomics platforms
Correlate COL10A1 protein localization with transcriptomic immune signatures
Map the spatial relationship between COL10A1-expressing cells and immune cell populations like B cells and macrophages, which show significant correlation with COL10A1 expression (r=0.19 and r=0.66, respectively)
Co-culture systems with immune components:
Establish triple co-cultures of tumor cells, CAFs, and immune cells
Use COL10A1 antibodies to track expression changes under various conditions
Manipulate COL10A1 levels (via knockdown/overexpression) to assess effects on immune cell recruitment and activation
Flow cytometry-based approaches:
Develop protocols for simultaneous detection of COL10A1 and immune markers
Analyze COL10A1 expression in sorted cell populations
Correlate COL10A1 levels with immune checkpoint expression on various cell types
Functional assays:
Use transwell migration assays to assess how COL10A1-rich matrices influence immune cell migration
Measure cytokine production by immune cells exposed to COL10A1-producing cells
Evaluate how COL10A1 affects immune cell activation status and phenotype
In vivo models with immunological monitoring:
Utilize COL10A1-manipulated tumor models in immunocompetent hosts
Apply multiplex antibody panels to assess immune infiltration
Correlate COL10A1 expression with response to immunotherapy
This multifaceted approach leverages emerging technologies and established methods to comprehensively characterize how COL10A1 shapes and responds to the immune microenvironment, potentially revealing new therapeutic opportunities in cancer and inflammatory diseases.