CCDC113 antibodies are specialized immunological tools designed to detect and study the coiled-coil domain-containing 113 (CCDC113) protein, a 377-amino-acid cytoplasmic protein with a molecular weight of 44.2 kDa . These antibodies enable researchers to investigate CCDC113's roles in cellular processes such as centriolar satellite function, primary cilium formation , and structural stabilization of sperm axonemes .
Colorectal Cancer (CRC): CCDC113 antibodies detected overexpression in CRC cells, correlating with poor prognosis . Knockdown reduced proliferation (e.g., 50% viability decline in HCT116 cells) and metastasis in xenograft models .
Mechanistic Role: RNA-seq and TCGA analyses linked CCDC113 to TGF-β signaling activation. TGF-β inhibitor galunisertib reversed oncogenic effects .
| Parameter | CCDC113 Knockdown Effect | CCDC113 Overexpression Effect |
|---|---|---|
| Tumor Volume (mm³) | ↓ 60% (HCT116 xenografts) | ↑ 80% (HCT116 xenografts) |
| Liver Metastasis | ↓ 70% (tail vein model) | ↑ 65% (tail vein model) |
| Ki67 Expression | ↓ 45% (IHC staining) | ↑ 55% (IHC staining) |
CCDC113 is a 377-amino acid protein that functions as a component of centriolar satellites and contributes to primary cilium formation. It has subcellular localization primarily in the cytoplasm and exists in up to two different isoforms in humans . Recent research has identified CCDC113's potential roles in ciliary assembly and function, making it an important target for studies related to ciliopathies and cell division . Understanding this protein is particularly relevant for researchers investigating cellular structures and their relation to disease states, as altered expression has been associated with various pathological conditions including cancer .
For subcellular localization studies, immunofluorescence techniques using validated anti-CCDC113 antibodies provide the most reliable results. Confocal microscopy following immunofluorescence staining has successfully demonstrated CCDC113's predominant cytoplasmic localization in colorectal cancer cells and other cell types . When designing these experiments, it's essential to use appropriate controls and cell fixation protocols that preserve cytoplasmic structures. For co-localization studies with centriolar markers, super-resolution microscopy may provide additional insights into the protein's precise localization within centriolar satellites .
When selecting a CCDC113 antibody, researchers should consider:
Target species specificity: Ensure the antibody recognizes your species of interest (human, mouse, rat, etc.)
Application compatibility: Verify validation for your specific application (Western blot, IHC, ICC/IF, ELISA)
Epitope location: Some antibodies target specific regions (e.g., C-terminal) which may affect detection of different isoforms
Validation data: Review available literature citations and validation images
Format and conjugation: Consider whether unconjugated or conjugated formats (FITC, etc.) are needed
CCDC113 orthologs have been reported in multiple species including mouse, rat, bovine, frog, zebrafish, chimpanzee, and chicken, so careful selection based on experimental needs is critical .
For optimal Western blot detection of CCDC113:
Sample preparation: Use RIPA or similar buffers with protease inhibitors
Protein loading: 20-40 μg of total protein per lane is typically sufficient
Gel percentage: 10-12% SDS-PAGE gels are appropriate for the 44.2 kDa CCDC113 protein
Transfer conditions: Semi-dry transfer at 15-20V for 30-45 minutes or wet transfer at 100V for 1 hour
Blocking: 5% non-fat milk or BSA in TBST for 1 hour at room temperature
Primary antibody dilution: Typically 1:500-1:2000 depending on antibody quality (check manufacturer recommendations)
Incubation: Overnight at 4°C with gentle agitation
Detection: HRP-conjugated secondary antibodies with ECL detection systems
When interpreting results, be aware that CCDC113 may show bands at approximately 44 kDa (canonical form) with possible additional bands representing different isoforms .
When designing CCDC113 knockdown studies:
Select appropriate targeting strategy:
shRNA approach: Design 2-3 different shRNAs targeting different regions of CCDC113 mRNA
siRNA approach: Pool of 3-4 siRNAs often provides more consistent knockdown
CRISPR-Cas9: For complete knockout studies
Validation of knockdown efficiency:
Functional assays based on research question:
For proliferation: CCK-8 assays, colony formation assays
For migration: Wound-healing assays, transwell migration assays
For apoptosis: Flow cytometry with Annexin V/PI staining
For ciliary function: Immunofluorescence microscopy of ciliary markers
In published research, CCDC113 knockdown significantly inhibited the viability and proliferation of colorectal cancer cells while increasing apoptotic rates .
For in vivo studies of CCDC113:
Model selection:
Xenograft models: Useful for cancer studies as demonstrated with CCDC113-knockdown CRC cells
Transgenic models: Consider conditional knockouts for developmental studies
Zebrafish: Useful for studying ciliary functions due to transparent embryos
Experimental design considerations:
For tumor studies: Use both subcutaneous xenograft and metastasis models (e.g., tail vein injection)
Sample size calculation based on expected effect size
Blinded assessment of outcomes
Appropriate controls (e.g., shNC vs. shCCDC113)
Analysis techniques:
Tumor volume/weight measurements
Histological analysis (H&E staining)
IHC for CCDC113 expression and proliferation markers (e.g., Ki67)
Metastasis quantification
In published colorectal cancer research, CCDC113 knockdown significantly reduced tumor volume and weight in subcutaneous xenograft models and decreased liver metastasis in tail vein models .
To investigate CCDC113's role in ciliary assembly:
Primary cilium induction protocols:
Serum starvation (0.5% FBS for 24-48 hours)
Contact inhibition in confluent cultures
Specialized media for specific cell types
Ciliary structure analysis:
Immunofluorescence for ciliary markers (acetylated α-tubulin, ARL13B)
Transmission electron microscopy for ultrastructural analysis
Live-cell imaging with fluorescently tagged ciliary proteins
Molecular interaction studies:
Co-immunoprecipitation to identify CCDC113 binding partners
Proximity ligation assays to confirm interactions in situ
Mass spectrometry analysis of CCDC113 complexes
Functional readouts:
Ciliary length measurements
Ciliary signaling pathway activation (Hedgehog, Wnt)
Ciliary trafficking assays
Since CCDC113 is a component of centriolar satellites contributing to primary cilium formation, these approaches can help elucidate its specific role in the molecular pathway of ciliogenesis .
To study CCDC113 interactions with other centriolar satellite proteins:
Biochemical approaches:
Co-immunoprecipitation with anti-CCDC113 antibodies followed by mass spectrometry
GST pull-down assays with recombinant CCDC113
Yeast two-hybrid screening
In vitro binding assays with purified proteins
Imaging approaches:
Dual-color super-resolution microscopy
FRET (Förster Resonance Energy Transfer) for direct interactions
Proximity ligation assay (PLA) for in situ detection of protein interactions
Live-cell imaging with fluorescently tagged proteins
Functional validation:
Mutational analysis of interaction domains
Domain mapping through truncation constructs
Competition assays with peptides
CRISPR-mediated knockout of interaction partners
These techniques can reveal the protein interaction network of CCDC113 at centriolar satellites and help understand how these interactions contribute to cilium formation and function .
To investigate isoform-specific functions of CCDC113:
Isoform identification:
RNA-seq analysis to identify expressed transcripts
RT-PCR with isoform-specific primers
Western blot analysis with antibodies recognizing different epitopes
Isoform-specific tools:
Design of isoform-specific siRNAs/shRNAs
Generation of isoform-specific antibodies
Construction of expression vectors for individual isoforms
Functional analysis:
Rescue experiments with individual isoforms in knockdown cells
Localization studies of each isoform
Protein-protein interaction analysis for each isoform
Domain mapping to identify functional differences
Tissue/cell-specific expression:
qRT-PCR with isoform-specific primers across tissues
Single-cell RNA-seq to identify cell populations expressing specific isoforms
Since up to two different isoforms have been reported for CCDC113 in humans, understanding their differential expression and function may provide insights into tissue-specific roles of this protein .
For investigating CCDC113 in cancer:
Expression analysis:
Mining public datasets (TCGA, GEO) for expression correlations with clinical outcomes
Tissue microarray analysis of CCDC113 expression in tumor vs. normal tissues
Single-cell RNA-seq to identify expressing cell populations within tumors
Functional studies:
Proliferation assays: CCK-8, colony formation
Migration/invasion assays: Wound healing, transwell, 3D invasion models
Apoptosis assays: Annexin V/PI staining, caspase activation
Cell cycle analysis: Flow cytometry with PI staining
Mechanistic investigations:
RNA-seq after CCDC113 modulation to identify affected pathways
ChIP-seq to identify transcription factors regulating CCDC113
Phosphoproteomics to identify signaling pathways affected
In vivo models:
Xenograft models with CCDC113-modulated cells
Metastasis models (tail vein injection, orthotopic implantation)
Patient-derived xenografts (PDX)
Recent research has shown that CCDC113 is highly expressed in colorectal cancer and its knockdown inhibits proliferation and migration in vitro while reducing tumor growth and metastasis in vivo .
To evaluate CCDC113 as a biomarker:
Clinical sample analysis:
Retrospective analysis of tissue samples with IHC
Evaluation in liquid biopsies (circulating tumor cells, exosomes)
Correlation with clinicopathological features and outcomes
Biomarker performance assessment:
Sensitivity and specificity calculations
ROC curve analysis
Comparison with established biomarkers
Multivariate analysis to assess independent prognostic value
Validation approaches:
Independent cohort validation
Multi-center studies
Prospective clinical trials
Technical considerations:
Standardization of detection methods
Establishment of positivity thresholds
Assessment of pre-analytical variables
CCDC113 has been predicted to be a biomarker for early lung cancer detection and has shown prognostic value in colorectal cancer, suggesting its potential utility as a clinical biomarker .
To investigate CCDC113 in ciliopathies:
Patient-derived materials:
Genetic screening of ciliopathy patients for CCDC113 mutations
Fibroblast cultures from patients for functional studies
Induced pluripotent stem cells (iPSCs) from patients
Model systems:
Zebrafish morpholinos or CRISPR for developmental phenotypes
Mouse models with conditional CCDC113 knockout
Organoid cultures (kidney, brain, retina) to model tissue-specific ciliary defects
Functional assays:
Ciliary length and frequency measurements
Ciliary beat frequency analysis
Ciliary protein trafficking assays
Hedgehog and Wnt signaling reporter assays
Structural analysis:
Super-resolution microscopy of cilia
Transmission electron microscopy for ultrastructural analysis
Cryogenic electron microscopy for molecular details
Since CCDC113 contributes to primary cilium formation, disruptions in its function may contribute to ciliopathies, which are genetic disorders resulting from defects in ciliary structure or function .
To minimize non-specific binding:
Antibody validation:
Test on CCDC113-knockout/knockdown samples as negative controls
Compare multiple antibodies targeting different epitopes
Pre-adsorption tests with blocking peptides
Optimization strategies:
Titrate antibody concentration (typically 1:500-1:2000 for Western blot)
Optimize blocking conditions (5% BSA often reduces background compared to milk)
Increase washing duration and frequency
Consider alternative buffers (PBST vs. TBST)
Sample-specific considerations:
Pre-clear lysates to remove proteins that bind non-specifically
Use tissue-specific blocking agents
Consider antigen retrieval methods for fixed tissues
Signal enhancement without increasing background:
Use high-sensitivity detection systems
Consider signal amplification methods like tyramide signal amplification
These approaches can help ensure specific detection of CCDC113 and minimize false positive results in experimental applications .
For quantitative CCDC113 expression analysis:
RNA-level quantification:
qRT-PCR with validated primers (efficiency >95%)
Standard curve method or ΔΔCt with validated reference genes
Digital droplet PCR for absolute quantification
RNA-seq with appropriate normalization methods
Protein-level quantification:
Western blot with housekeeping protein controls
ELISA with recombinant protein standards
Mass spectrometry with labeled standards
Quantitative immunofluorescence with calibration standards
Analysis considerations:
Include multiple biological and technical replicates
Use appropriate statistical tests based on data distribution
Consider power analysis to determine sample size
Account for batch effects in large studies
Data representation:
Normalized expression values relative to controls
Fold-change with appropriate error bars
Box plots or violin plots for distribution visualization
These methodologies have been successfully applied in studies examining CCDC113 expression in colorectal cancer and other contexts .
When facing contradictory results:
Systematic validation approach:
Compare antibody specifications (epitope location, host species, clonality)
Validate each antibody using positive and negative controls
Test multiple lots of the same antibody
Conduct side-by-side comparisons under identical conditions
Technical considerations:
Evaluate whether discrepancies are application-specific
Assess potential post-translational modifications affecting epitope recognition
Consider isoform-specific detection as a source of variation
Evaluate sample preparation differences
Alternative validation methods:
Genetic approaches (CRISPR knockout, siRNA) to verify specificity
Mass spectrometry to confirm protein identity
Epitope mapping to understand binding differences
Orthogonal methods that don't rely on antibodies
Resolution strategies:
Use multiple antibodies targeting different epitopes
Report results with appropriate caveats
Consider consortium approaches for antibody validation
Contradictory results may reveal important biological insights about isoforms, post-translational modifications, or protein interactions that affect epitope accessibility .
To explore novel CCDC113 functions:
Unbiased screening approaches:
Interactome analysis via BioID or APEX proximity labeling
Phosphoproteomic analysis after CCDC113 modulation
CRISPR screens in CCDC113-modulated backgrounds
Yeast two-hybrid or mammalian two-hybrid screens
Subcellular localization studies:
Fractionation followed by Western blotting
High-resolution imaging with co-localization analysis
Live-cell imaging during different cellular processes
Electron microscopy with immunogold labeling
Functional readouts:
Cell cycle analysis with synchronized cells
DNA damage response assays
Stress response measurements
Metabolic pathway analysis
Context-dependent studies:
Analysis across different cell types
Response to various stimuli or stressors
Developmental stage-specific analysis
CCDC113's reported associations with diverse conditions including post-stroke cognitive impairment, asthma, and cancer suggest functions beyond its established role in ciliary assembly .
To study CCDC113 in post-stroke cognitive impairment:
Clinical approaches:
Genetic association studies in stroke patient cohorts
Protein/gene expression analysis in patient samples
Correlation of CCDC113 levels with cognitive assessment scores
Longitudinal studies tracking expression changes and outcomes
In vitro models:
Oxygen-glucose deprivation (OGD) in neuronal cultures
CCDC113 modulation in neuronal or glial cells
Blood-brain barrier models with endothelial cells
Co-culture systems mimicking neurovascular units
In vivo models:
Middle cerebral artery occlusion (MCAO) mouse models
Cognitive testing after stroke in CCDC113-modulated animals
Neuroimaging combined with molecular analysis
Tissue-specific conditional knockout models
Mechanistic investigations:
Inflammatory pathway analysis
Synaptic plasticity assessments
Neurovascular coupling measurements
Blood-brain barrier integrity evaluation
Bioinformatics analysis has shown that CCDC113 is associated with post-stroke cognitive impairment, suggesting a novel function beyond its known roles in ciliary biology .
To investigate CCDC113 in asthma:
Clinical studies:
Expression analysis in bronchial biopsies from asthma patients
Genetic association studies in asthma cohorts
Protein levels in bronchoalveolar lavage fluid
Single-cell RNA-seq of airway samples
In vitro models:
Air-liquid interface cultures of bronchial epithelial cells
CCDC113 modulation in airway epithelial cells
Ciliary beat frequency analysis
Mucus production and clearance assays
In vivo approaches:
Asthma models in CCDC113-modulated mice
Airway hyperresponsiveness measurements
Inflammatory cell influx quantification
Airway remodeling assessment
Mechanistic studies:
Type 2 inflammation pathway analysis
Epithelial barrier function tests
Ciliary function assessments
Mucociliary clearance measurements
CCDC113 has been associated with asthma in bioinformatics analyses, and given its role in ciliary function, it may contribute to airway epithelial dysfunction in asthma pathogenesis .