CK10 antibodies are available in monoclonal and polyclonal formats, each with distinct properties and applications:
CK10 antibodies are primarily used in immunohistochemistry (IHC), western blotting (WB), and flow cytometry (FCM) to study epithelial differentiation and pathology.
Diagnosis of Squamous Cell Carcinomas: CK10 staining identifies mature squamous differentiation, distinguishing squamous cell carcinomas (SCCs) from adenocarcinomas .
Tumor Classification: CK10 expression patterns help differentiate benign lesions from laryngeal dysplasia and SCCs .
Research in Epidermal Barrier Function: CK10 is essential for maintaining the epidermal barrier, particularly in palmar and plantar skin .
A study analyzing 131 tumor categories found CK10 positivity in 31.3% of cases, with strong expression in squamous cell carcinomas (18.6–66.1%) and Warthin tumors (47.8%) .
In a study of laryngeal specimens, CK10 staining scores were analyzed across different lesion types:
| Lesion Type | CK10 Staining Score | Percentage Positive |
|---|---|---|
| Squamous Cell Carcinoma (SCC) | 0–4 | 66.3% (55/83) |
| Laryngeal Dysplasia | 0–4 | 38.8% (7/18) |
| Benign Lesions | 0–4 | 25.3% (21/83) |
Negative Control: Colon (no staining in epithelial or stromal cells) .
Localization: Cytoplasmic, with strong staining in keratinizing epithelia .
CKL10 (Casein Kinase 1-Like Protein 10) is a serine/threonine protein kinase expressed in Arabidopsis thaliana. It belongs to the casein kinase family and plays crucial roles in cellular signaling pathways, particularly in plant developmental processes and stress responses. Antibodies targeting CKL10 are valuable tools for investigating protein expression, localization, and functional interactions within plant cellular networks .
CKL10 Antibody is primarily used for Western blotting (WB), immunohistochemistry (IHC), immunocytochemistry (ICC), and immunoprecipitation (IP) applications. These techniques allow researchers to detect, localize, and quantify CKL10 protein in various plant tissues and experimental conditions. The versatility of these applications enables comprehensive analysis of CKL10's role in different physiological and developmental contexts .
Validating antibody specificity is crucial for reliable research outcomes. For CKL10 Antibody, recommended validation approaches include:
Western blot analysis with positive and negative controls
Peptide competition assays to confirm binding specificity
Immunostaining patterns comparison with literature reports
Testing in CKL10 knockout or knockdown plant lines
Cross-reactivity testing with related proteins
These validation steps ensure experimental results accurately reflect CKL10 biology rather than non-specific interactions .
Optimizing IHC protocols for CKL10 detection requires systematic refinement of several parameters:
Fixation method: 4% paraformaldehyde typically preserves CKL10 epitopes while maintaining tissue architecture
Antigen retrieval: Heat-induced epitope retrieval in citrate buffer (pH 6.0) often improves signal detection
Blocking solution: 5% normal serum with 0.3% Triton X-100 minimizes background
Antibody dilution: Begin with manufacturer's recommendation (typically 1:100 to 1:500) and titrate as needed
Incubation conditions: Overnight incubation at 4°C generally provides optimal signal-to-noise ratio
Detection system: Polymer-based detection systems often yield superior results compared to ABC methods
These optimizations should be systematically tested and documented to establish a reliable protocol for specific experimental systems .
When faced with inconsistent experimental outcomes, consider these troubleshooting approaches:
Epitope accessibility: Different sample preparation methods may affect epitope exposure; compare multiple fixation protocols
Antibody batch variation: Compare lot numbers and request validation data from manufacturers
Cross-reactivity: Assess potential cross-reactivity with related plant proteins using sequence alignment tools
Sample degradation: Implement strict sample handling protocols with appropriate protease inhibitors
Technical variables: Standardize incubation times, temperatures, and washing steps
Systematic documentation of these variables across experiments can help identify the source of inconsistency .
Robust experimental design requires appropriate controls:
| Control Type | Implementation | Purpose |
|---|---|---|
| Positive Control | Tissue with confirmed CKL10 expression | Verifies antibody functionality |
| Negative Control | CKL10 knockout tissue or primary antibody omission | Assesses non-specific binding |
| Isotype Control | Irrelevant antibody of same isotype | Evaluates background from antibody class |
| Blocking Peptide | Pre-incubation with immunizing peptide | Confirms epitope specificity |
| Loading Control | Anti-actin or anti-tubulin antibody | Normalizes protein loading (for WB) |
Implementing these controls enables confident interpretation of experimental results and facilitates troubleshooting when necessary .
Effective sample preparation is critical for successful CKL10 detection:
Tissue collection: Harvest tissues at consistent developmental stages and time points
Preservation: Flash-freeze in liquid nitrogen to prevent protein degradation
Extraction buffer: Use buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, 0.5% sodium deoxycholate, 0.1% SDS, and protease inhibitor cocktail
Homogenization: Thoroughly homogenize using bead beater or mortar and pestle under cold conditions
Clarification: Centrifuge at 14,000 × g for 15 minutes at 4°C
Protein quantification: Use Bradford or BCA assay to normalize loading
These steps preserve protein integrity and enhance detection specificity across experimental applications .
Accurate quantification requires rigorous analytical approaches:
For Western blot analysis:
Use gradient gels (4-12%) for optimal protein separation
Transfer proteins to PVDF membranes for higher protein binding capacity
Implement densitometric analysis using software like ImageJ
Normalize to validated housekeeping proteins (e.g., GAPDH, actin)
Include standard curves with recombinant protein when absolute quantification is needed
For immunohistochemistry quantification:
Use consistent image acquisition parameters
Analyze multiple fields per sample
Employ automated thresholding methods
Normalize signal intensity to cell number or tissue area
Implement blind analysis to prevent observer bias
Statistical analysis should include appropriate tests for experimental design with clear reporting of biological and technical replicates .
When facing contradictory results between methods:
Analyze methodological differences:
Different epitopes recognized by various antibodies
Diverse sample preparation affecting protein conformation
Method-specific sensitivity thresholds
Consider biological variables:
Post-translational modifications altering epitope accessibility
Subcellular localization affecting detection efficiency
Protein-protein interactions masking binding sites
Resolution strategies:
Employ orthogonal detection methods
Use multiple antibodies targeting different epitopes
Validate with genetic approaches (overexpression or knockdown)
Correlate with mRNA expression data
CKL10 interaction studies benefit from these methodological approaches:
Co-immunoprecipitation (Co-IP):
Use mild lysis conditions to preserve protein complexes
Pre-clear lysates with protein A/G beads
Optimize antibody-to-lysate ratios
Include appropriate controls (IgG, reverse Co-IP)
Proximity ligation assay (PLA):
Combine CKL10 antibody with antibodies against suspected interaction partners
Optimize fixation to preserve cellular architecture
Include positive and negative interaction controls
Bimolecular fluorescence complementation (BiFC) validation:
Use BiFC to confirm direct interactions identified by antibody-based methods
Compare with Co-IP results for comprehensive validation
These complementary approaches provide robust evidence for CKL10 protein interactions in physiological contexts .
Successful multiplex assays require careful planning:
Antibody selection criteria:
Host species compatibility (avoid same-species antibodies)
Fluorophore spectral separation (minimum 30 nm between emission peaks)
Similar optimal dilutions and incubation conditions
Technical considerations:
Sequential application for antibodies requiring different conditions
Thorough blocking between applications
Extensive washing to prevent cross-reactivity
Appropriate negative controls for each antibody
Imaging considerations:
Channel bleed-through controls
Sequential scanning for closely overlapping spectra
Consistent exposure settings across experimental groups
These considerations ensure reliable multiplex detection while minimizing false positive signals from technical artifacts .
When experiencing weak or absent signal:
Antibody-related factors:
Degradation due to improper storage
Insufficient concentration or incubation time
Lot-to-lot variation in binding efficiency
Sample-related factors:
Low target protein expression
Epitope masked by protein-protein interactions
Protein degradation during sample preparation
Post-translational modifications affecting epitope recognition
Protocol-related factors:
Insufficient antigen retrieval
Incomplete membrane blocking
Excessive washing stringency
Suboptimal detection reagents
Systematic evaluation of these factors through controlled experiments can identify and resolve signal detection issues .
Non-specific binding can be minimized through:
Blocking optimization:
Test different blocking agents (BSA, normal serum, commercial blockers)
Increase blocking time and concentration
Add 0.1-0.3% Triton X-100 to blocking solution
Antibody optimization:
Titrate primary antibody concentration
Reduce incubation temperature (4°C rather than room temperature)
Increase washing duration and frequency
Sample preparation refinement:
Optimize fixation protocol
Implement additional permeabilization steps
Test different antigen retrieval methods
Detection system adjustment:
Switch between direct and indirect detection methods
Try polymer-based detection systems
Optimize substrate development time
These adjustments, implemented systematically, can significantly improve signal-to-noise ratio .