Storage: PBS with 0.02% sodium azide and 50% glycerol at -20°C .
CBY1 is a 15-kDa coiled-coil protein that:
Inhibits β-catenin signaling: Competes with transcription factors for β-catenin binding, suppressing oncogenic pathways .
Promotes ciliogenesis: Recruits Rab8 and membrane-remodeling proteins (e.g., ciBAR1/2) to basal bodies for ciliary assembly .
Interacts with: β-catenin, CEP164, RAB8A, and DZIP1/DZIP1L .
Colon Cancer: CBY1 knockdown (KD) in SW480 cells induces mesenchymal-to-epithelial transition (MET), increasing E-cadherin/β-catenin membrane localization and reducing tumorigenicity .
Laryngeal Squamous Cell Carcinoma: Downregulated CBY1 correlates with aberrant β-catenin activation .
Pancreatic Defects: CBY1-KO mice exhibit impaired ciliogenesis in pancreatic acinar cells, leading to zymogen granule accumulation and pancreatitis .
Airway Cilia: CBY1 mediates ciliary vesicle formation and basal body docking in airway epithelia .
Antigen Retrieval: Use TE buffer (pH 9.0) or citrate buffer (pH 6.0) for IHC .
Validation: Titrate the antibody for optimal results across applications .
How can I distinguish between different CBY proteins (CBY1, CBY3) in my experiments?
Distinguishing between CBY family members requires careful antibody selection and experimental design:
Epitope specificity: Ensure your selected antibody specifically recognizes CBY1 rather than other family members. Many commercial antibodies are developed against full-length CBY1 or specific regions (e.g., AA 1-126, AA 41-126) .
Expression pattern analysis: CBY1 is widely expressed across tissues, while CBY3 is exclusively expressed in testis . When working with testicular tissue, carefully validate antibody specificity.
Molecular weight differences: Although both proteins are similar in size, they may show subtle differences in migration patterns during Western blotting.
For advanced discrimination, consider:
Using multiple antibodies targeting different epitopes
Performing knockdown/knockout validation experiments
Using recombinant proteins as positive controls
Employing mass spectrometry for definitive identification
When studying CBY3, note that it interacts with ciBAR1 at the annulus in differentiating spermatids through specific residues (S5, T6, E18, G20, Y23, and R29), forming complexes similar to CBY1/ciBAR1 complexes .
How do I troubleshoot inconsistent CBY1 antibody staining in immunofluorescence experiments?
Inconsistent CBY1 staining can result from several factors:
Subcellular localization variations: CBY1 localizes to multiple cellular compartments including:
This diverse localization can appear as inconsistent staining if fixation conditions preferentially preserve certain compartments.
Fixation-dependent epitope masking: Try different fixation methods:
Extraction requirements: CBY1 detection often requires membrane permeabilization:
Signal amplification: For low abundance detection, implement tyramide signal amplification using kits such as the Alexa Fluor 488 Tyramide SuperBoost Kit
Cell-cycle dependence: CBY1 localization changes throughout the cell cycle, especially at centrosomes/cilia. Synchronize cells if examining cell-cycle-dependent localization.
How can I interpret CBY1 expression changes in the context of epithelial-mesenchymal transition (EMT) studies?
Interpreting CBY1 expression changes in EMT studies requires careful consideration of several factors:
Temporal dynamics: CBY1 knockdown induces mesenchymal-to-epithelial transition (MET)-like changes, with acute versus chronic knockdown producing different effects on Wnt signaling . When analyzing EMT/MET:
Document the duration of CBY1 modulation
Consider both short-term and long-term effects
Cell-context dependency: CBY1 knockdown effects are consistent across different cell types (SW480 colon cancer cells and HEK293 cells), but the magnitude varies:
Marker panel analysis: CBY1 knockdown triggers a complex set of cellular changes affecting multiple markers:
| Marker | Effect of CBY1 Knockdown | Significance |
|---|---|---|
| E-cadherin | 5-fold protein increase, 2.4-fold mRNA increase | Adherens junction formation |
| β-catenin | Significant increase at adherens junctions | Cell-cell adhesion enhancement |
| ZO-1 | 6-fold protein increase | Tight junction formation |
| Vimentin | Decreased levels | Reduced mesenchymal properties |
| Actin | Formation of cortical rings | Epithelial cytoskeletal arrangement |
| TopFlash (Wnt activity) | Decreased in stable CBY1-KD SW480 cells | Reduced β-catenin signaling |
Migration pattern analysis: CBY1 knockdown cells maintain epithelial characteristics during migration, moving as coherent sheets rather than individual cells . This can help distinguish true EMT/MET processes from other cellular changes.
What are the best approaches for validating CBY1 antibody specificity in experimental systems?
Comprehensive validation of CBY1 antibody specificity should include:
Genetic models:
Epitope blocking:
Multiple antibody approach:
Use antibodies targeting different CBY1 epitopes:
N-terminal regions (AA 1-41)
Middle regions (AA 41-97)
C-terminal regions (AA 97-126)
Concordant results with different antibodies strongly support specificity
Signal correlation with expression level:
Compare staining intensity across tissues with known differential CBY1 expression
Verify that signal intensity correlates with expected expression patterns
Demonstrating expected localization patterns:
How does CBY1 localization change during ciliogenesis, and how can this be effectively tracked using antibodies?
CBY1 undergoes distinct localization changes during ciliogenesis that can be tracked using carefully designed immunofluorescence experiments:
Early ciliogenesis stages:
Mature cilia:
Experimental tracking approach:
Use dual immunostaining with CBY1 antibody and centriole/basal body markers (e.g., γ-tubulin)
Include ciliary markers (acetylated tubulin, Arl13b) to track progression of ciliogenesis
Implement super-resolution microscopy techniques for precise localization
Time-course experiments:
Synchronize ciliogenesis (serum starvation or cell cycle synchronization)
Fix cells at defined time points (0h, 6h, 12h, 24h, 48h)
Track CBY1 localization relative to centriole/basal body markers
Recommended antibody combinations:
What is the significance of CBY1 in ciliopathy research, and how can antibodies help elucidate disease mechanisms?
CBY1 plays crucial roles in ciliopathies, particularly Joubert syndrome, and antibodies can reveal several disease-relevant mechanisms:
Loss-of-function (LOF) impact:
Experimental disease modeling:
Protein level assessment in patient samples:
Complex formation analysis:
Therapeutic target validation:
Rescue experiments with wild-type CBY1 versus mutant forms
Antibodies can confirm expression of rescue constructs and assess restoration of ciliary phenotypes
These findings highlight the importance of CBY1 antibodies in understanding ciliopathy disease mechanisms and potentially developing therapeutic approaches.
How can CBY1 antibodies be used to investigate its role in cancer progression?
CBY1 antibodies can provide valuable insights into cancer biology through several experimental approaches:
Expression level analysis in tumor samples:
Subcellular localization studies:
Functional pathway analysis:
Cell migration assessment:
Mechanistic interaction studies:
Use co-immunoprecipitation with CBY1 antibodies to identify cancer-relevant binding partners
Investigate how these interactions are altered in malignant versus non-malignant states
These approaches highlight the complex and context-dependent role of CBY1 in cancer, where both loss and gain of function may influence tumor behavior through different mechanisms.
What are the best practices for quantifying CBY1 levels in tissue samples?
Accurate quantification of CBY1 in tissue samples requires careful methodological considerations:
Sample preparation optimization:
Antibody selection and validation:
Internal controls and normalization:
Quantification methods:
For Western blot: Use densitometry with linear range validation
For IHC/IF: Implement digital image analysis with appropriate software
Measure staining intensity (integrated optical density)
Assess percent positive cells
Quantify subcellular distribution patterns
Scoring systems for tissue microarrays:
Develop a standardized scoring system (0-3+) based on staining intensity
Consider both intensity and percentage of positive cells (H-score = Σ Pi × i, where i = intensity 0-3 and Pi = percentage of cells)
Use multiple independent scorers to ensure reliability
These practices ensure reproducible and meaningful quantification of CBY1 levels across diverse tissue samples and experimental conditions.