Antibodies are proteins produced by the immune system in response to foreign substances. They are crucial in medical research and treatments, often used to target specific proteins or pathogens.
While not directly related to "ECP63 Antibody," the CT-P63 antibody is a notable example of a broadly neutralizing antibody targeting SARS-CoV-2. It has shown potent neutralizing activity against various SARS-CoV-2 variants, including Delta and Omicron .
Target: SARS-CoV-2
Neutralization Activity: Effective against multiple variants
Application: Potential therapeutic use in COVID-19 treatment
Other antibodies, such as those targeting GPR183 or p63, are used in various research applications.
Target: GPR183 protein
Applications: Western blot, immunohistochemistry, flow cytometry
Target: p63 protein
Applications: Western blot, immunoprecipitation, immunofluorescence, immunohistochemistry, ELISA
Since there is no specific data on "ECP63 Antibody," we can look at the efficacy of similar antibodies like CT-P63 in neutralizing SARS-CoV-2 variants.
| Variant | IC50 (ng/mL) |
|---|---|
| Wild-type (B.1) | 50.50 |
| Omicron (BA.1) | 96.48 |
| Omicron (BA.2) | 88.67 |
| Delta (B.1.617.2) | 18.88 |
| Beta (B.1.351) | 20.58 |
CEP63 is a 63 kDa centrosomal protein that serves multiple critical cellular functions. It is required for normal spindle assembly during cell division and maintains proper centrosome numbers through centrosomal recruitment of CEP152. Additionally, CEP63 recruits CDK1 to centrosomes and plays a significant role in DNA damage response mechanisms .
The protein exists in four isoforms (56 kDa, 58 kDa, 63 kDa, and 81 kDa), with a calculated molecular weight of 81 kDa (703 amino acids) but an observed molecular weight typically between 57-75 kDa in experimental settings . Following DNA damage events such as double-strand breaks, CEP63 is removed from centrosomes, which leads to inactivation of spindle assembly and delay in mitotic progression . Recent research has also identified that CEP63 promotes stabilization of FXR1 protein by inhibiting its ubiquitination .
CEP63 antibodies have been validated for multiple research applications, with specific performance characteristics for each application. The primary applications include:
| Application | Validated Performance | Recommended Dilutions |
|---|---|---|
| Western Blot (WB) | Positive detection in HEK-293 cells, mouse liver tissue, HeLa cells, mouse thymus tissue | 1:500-1:2000 |
| Immunoprecipitation (IP) | Positive detection in HEK-293 cells | 0.5-4.0 μg for 1.0-3.0 mg of total protein lysate |
| Immunofluorescence (IF)/ICC | Positive detection in MDCK cells | 1:200-1:800 |
| Immunohistochemistry (IHC-P) | Validated for formalin-fixed paraffin-embedded sections | Application-dependent |
| ELISA | Validated for use | Application-dependent |
It's important to note that application-specific optimization is necessary as performance can vary based on sample type, fixation method, and experimental conditions .
Validating antibody specificity is critical for ensuring reliable experimental results. For CEP63 antibodies, implement a comprehensive validation approach including:
The implementation of these validation strategies is critical, as inadequately characterized antibodies have led to significant reproducibility issues in research. A concerning example from the literature demonstrates how an unvalidated antibody (unrelated to CEP63) was used in 15 publications, generating over 3,000 citations despite not recognizing its putative target .
Optimizing CEP63 antibody performance in challenging experimental conditions requires a systematic approach:
Antigen retrieval optimization for IHC-P: For formalin-fixed paraffin-embedded sections, heat-mediated antigen retrieval in citrate buffer (pH 6.0) for 20 minutes has proven effective for exposing CEP63 epitopes . Compare multiple antigen retrieval methods (citrate, EDTA, enzymatic) if initial results are suboptimal.
Buffer and blocking optimization for Western blot:
Test multiple blocking agents (5% non-fat milk, 5% BSA, commercial blockers)
Evaluate different wash buffer compositions (varying Tween-20 concentrations)
Titrate primary antibody concentrations between 1:500-1:2000
Vary incubation times and temperatures (overnight at 4°C vs. 1-2 hours at room temperature)
Signal amplification strategies: For low-abundance detection, implement tyramide signal amplification (TSA) or polymer-based detection systems, which can increase sensitivity 10-100 fold over conventional detection methods.
Sample preparation considerations: For centrosomal proteins like CEP63, incorporating a pre-extraction step with detergents before fixation can remove cytoplasmic proteins and enhance centrosome visualization in immunofluorescence applications.
Empirical testing across applications: Performance of CEP63 antibodies varies by application. For example, the GTX634482 antibody has been shown to work optimally for immunoblot and immunohistochemistry but lacks specificity in immunofluorescence and fails completely in immunoprecipitation applications .
Post-translational modifications (PTMs) can significantly affect CEP63 antibody binding and detection:
Phosphorylation-dependent epitope masking: CEP63 undergoes phosphorylation during DNA damage response, which may alter antibody recognition. For comprehensive detection, use phosphorylation-independent antibodies or multiple antibodies targeting different regions.
Conformational changes: PTMs can induce conformational changes that mask or expose different epitopes. Some antibodies recognize linear epitopes while others detect conformational epitopes, necessitating empirical testing for each application .
Technical considerations:
Add phosphatase inhibitors (sodium orthovanadate, sodium fluoride) to lysis buffers when studying phosphorylated CEP63
Consider lambda phosphatase treatment as a control to verify phosphorylation-dependent detection
For ubiquitination studies, include deubiquitinating enzyme inhibitors and perform IP under denaturing conditions
Application-specific considerations: For immunofluorescence applications, pre-extractable versus non-extractable fractions of CEP63 may represent different PTM populations, necessitating optimization of fixation and extraction protocols.
Effective multi-protein detection requires careful experimental design:
Co-immunoprecipitation optimization:
Multi-color immunofluorescence strategies:
Select primary antibodies from different host species (rabbit anti-CEP63 combined with mouse anti-CEP152)
For same-species antibodies, use direct conjugation or sequential detection with Fab fragments
Implement spectral unmixing for overlapping fluorophores
Proximity ligation assay (PLA):
Consider PLA for detecting CEP63 interactions with CDK1, CEP152, or other centrosomal proteins
This technique provides single-molecule resolution of protein interactions (<40nm proximity)
Requires specific primary antibodies and species-appropriate PLA probes
Controls for co-localization studies:
Include biological controls (siRNA knockdown)
Consider image analysis controls (randomized image rotation to assess statistical significance of co-localization)
Implement quantitative co-localization metrics (Pearson's correlation, Manders' coefficients)
When working with CEP63 antibodies across different model organisms, several factors must be considered:
Key considerations for cross-species applications:
Epitope conservation analysis: Before using a CEP63 antibody in a new species, analyze sequence homology in the epitope region. Higher homology increases likelihood of cross-reactivity.
Validation requirements: Always validate antibodies in the specific species of interest using positive and negative controls:
Species-specific protocol adjustments:
Adjust fixation protocols based on species (4% PFA for 10 minutes for human cells vs. 15 minutes for mouse tissues)
Modify blocking conditions (species-matched normal serum)
Optimize primary antibody concentrations and incubation times
Western blot considerations: Expected molecular weight may vary slightly between species due to sequence differences and post-translational modifications.
Non-specific binding is a common challenge when working with antibodies. For CEP63 antibodies, implement these troubleshooting strategies:
Western blot non-specific bands:
Immunofluorescence background:
Optimize fixation protocols (test 4% PFA vs. methanol fixation)
Include detergent pre-extraction step to remove cytoplasmic proteins
Increase blocking time and concentration (add 5% normal serum from secondary antibody host)
Test different mounting media to reduce background
Consider autofluorescence quenching steps
Immunoprecipitation non-specific pull-down:
Cross-reactivity assessment: Different antibodies show variable specificity across applications. As noted in search results, some CEP63 antibodies work well in certain applications but poorly in others .
Implementing rigorous quality control is essential for reliable CEP63 antibody experiments:
Antibody validation controls:
Positive control: Tissues/cells known to express CEP63 (HEK-293, HeLa, mouse liver, mouse thymus)
Negative control: CEP63 knockdown/knockout samples
Loading controls: Appropriate housekeeping proteins for Western blot
Immunofluorescence controls: Secondary-only controls, IgG controls, competing peptide controls
Batch-to-batch consistency testing:
Document lot numbers and test new lots against previous validated lots
Maintain reference samples for comparison
Consider aliquoting antibodies to avoid freeze-thaw cycles
Storage and handling verification:
Method-specific quality controls:
Proper quantification and analysis of CEP63 antibody data is crucial for reproducible research:
Western blot quantification:
Use digital image acquisition with linear dynamic range
Implement normalization to appropriate loading controls
Apply lane background subtraction
Present data as relative abundance rather than absolute values
Test multiple exposure times to ensure signal is in linear range
Immunofluorescence quantification:
For centrosomal CEP63, measure fluorescence intensity within defined regions
Use automated detection algorithms for unbiased quantification
Consider 3D analysis for complete centrosome volume assessment
Establish intensity thresholds consistently across experimental conditions
Analyze sufficient cell numbers for statistical power (minimum 50-100 cells per condition)
Reproducibility considerations:
Report RRID (Research Resource Identifier) for antibodies (e.g., RRID:AB_2077079 for CEP63)
Document detailed experimental protocols
Report antibody dilutions, incubation times and temperatures
Include biological and technical replicates (minimum n=3)
Apply appropriate statistical tests based on data distribution
Standard curve approaches:
For quantitative applications, develop standard curves using recombinant CEP63 protein
Report data with appropriate error bars and statistical significance
Consider blinding analysis to reduce unconscious bias
CEP63 plays a crucial role in centrosome duplication, making it an important target in cancer research where centrosome abnormalities are common:
Quantitative assessment of centrosome amplification:
Use CEP63 antibodies (1:200-1:800 dilution for IF) in multi-color immunofluorescence with γ-tubulin or centrin
Implement high-content imaging to score centrosome number per cell across large populations
Compare centrosome numbers in normal versus cancer cell lines
Correlate with cell cycle markers to distinguish duplication defects from cytokinesis failures
DNA damage response studies:
Monitor CEP63 localization following DNA damage induced by radiation or genotoxic agents
As shown in research, CEP63 is removed from centrosomes following DNA damage, leading to spindle assembly inactivation
Combine with γH2AX staining to correlate with double-strand break formation
Use time-lapse imaging to track dynamics of CEP63 dissociation from centrosomes
Functional analysis in cancer models:
Correlate CEP63 levels with cancer stage and grade
Analyze CEP63 immunohistochemistry in tissue microarrays
Integrate with genomic data on CEP63 mutations or amplifications
Develop tissue processing protocols that preserve centrosomal architecture
Therapeutic target assessment:
Use CEP63 antibodies to evaluate effects of centrosome-targeting drugs
Monitor changes in CEP63-CEP152 interactions following drug treatment
Implement proximity ligation assays to quantify protein interaction changes
CEP63's involvement in DNA damage response pathways can be investigated using these advanced approaches:
Damage-induced translocation studies:
Perform time-course experiments following DNA damage induction
Use immunofluorescence (1:200-1:800 dilution) to track CEP63 localization changes
Combine with staining for ATM/ATR pathway components
Apply super-resolution microscopy for detailed localization analysis
Quantify centrosomal versus non-centrosomal CEP63 fractions
Protein modification analysis:
Use immunoprecipitation (0.5-4.0 μg antibody) followed by Western blot analysis for post-translational modifications
Probe for phosphorylation events using phospho-specific antibodies
Investigate ubiquitination status following DNA damage
Perform mass spectrometry analysis of immunoprecipitated CEP63 to identify novel modifications
Functional rescue experiments:
Deplete endogenous CEP63 using siRNA
Re-express siRNA-resistant wild-type or mutant CEP63
Assess rescue of centrosome duplication and DNA damage response phenotypes
Use antibody detection to confirm appropriate expression levels
Cell cycle synchronization approaches:
Synchronize cells at different cell cycle phases
Analyze CEP63 levels and localization across the cell cycle
Combine with DNA damage at specific cell cycle stages
Quantify nuclear versus centrosomal fractions of CEP63
CEP63 mutations have been implicated in microcephaly and other developmental disorders linked to centrosomal dysfunction:
Patient-derived cell analysis:
Compare CEP63 levels and localization in patient-derived cells versus controls
Assess centrosome structure and number using CEP63 antibodies in combination with other centrosomal markers
Quantify centrosome duplication efficiency across multiple cell cycles
Analyze mitotic spindle organization and chromosome segregation
Model system approaches:
iPSC and organoid applications:
Generate iPSCs from patients with CEP63 mutations
Differentiate into neural progenitors and mature neurons
Track CEP63 expression and localization during differentiation
Apply immunofluorescence protocols optimized for 3D organoid structures
Therapeutic strategy assessment:
Evaluate potential rescue strategies in patient-derived cells
Use CEP63 antibodies to monitor restoration of normal centrosome function
Combine with functional readouts of cell division and differentiation
Implement high-content screening approaches for therapeutic discovery
Several cutting-edge technologies are expanding the capabilities of CEP63 antibody applications:
Super-resolution microscopy applications:
Implement STED, SIM, or STORM microscopy for nanoscale resolution of CEP63 localization
Resolve sub-centrosomal structures with 20-50nm precision
Combine with proximity labeling techniques for protein interaction mapping
Apply quantitative cluster analysis for molecular distribution patterns
Single-cell proteomics integration:
Combine CEP63 antibody staining with mass cytometry (CyTOF)
Integrate with single-cell RNA-seq data for multi-omic analysis
Implement imaging mass cytometry for tissue-level analysis
Correlate CEP63 protein levels with transcriptional states
Live-cell imaging adaptations:
Develop antibody-based biosensors for CEP63 dynamics
Apply nanobody technology for improved intracellular penetration
Implement optogenetic approaches combined with antibody detection
Use FRET-based sensors to monitor CEP63 interactions in real-time
Antibody engineering advancements:
Harness recombinant antibody technologies for improved reproducibility
Apply phage display for epitope-specific antibody generation
Develop bivalent antibodies for enhanced avidity
Create antibody fragments with improved tissue penetration properties
Researchers can advance CEP63 antibody standardization through these approaches:
Comprehensive validation reporting:
Methodological standardization:
Establish standard operating procedures for common applications
Report detailed methods including antibody concentration, incubation conditions, and buffers
Perform inter-laboratory validation studies
Develop application-specific positive and negative controls
Open science practices:
Share raw image data in public repositories
Provide detailed protocols on platforms like protocols.io
Report negative results to counter publication bias
Participate in community-driven antibody validation initiatives
Advanced validation approaches: