This monoclonal antibody targets the CD8αβ heterodimer in cats, critical for T-cell immunity. Key characteristics include:
Mechanistic Role:
CD8αβ stabilizes TCR/MHC-I interactions during antigen recognition and recruits Lck kinase for T-cell signaling. Its cytoplasmic tail facilitates lipid raft localization, enhancing immune synapse formation .
While not directly termed "CAT8," KAT8 (lysine acetyltransferase 8) antibodies are used in studies linking acetylation to immune regulation:
Function: KAT8 acetylates SEPP1 at lysine 247/249, stabilizing SEPP1 to modulate myeloid-derived suppressor cells (MDSCs) and CD8+ T-cell infiltration in pancreatic cancer .
Therapeutic Relevance:
| Condition | Effect on SEPP1 Acetylation | Impact on Tumor Growth | Citation |
|---|---|---|---|
| KAT8 overexpression | ↑ SEPP1 stability | ↓ Tumor progression | |
| HAT inhibitor (MG149) | ↓ SEPP1 acetylation | ↑ Tumor growth |
In Saccharomyces cerevisiae, Cat8 regulates carbon/nitrogen metabolism but lacks direct antibody references in the provided sources. Studies highlight its interaction with Aro80 and Gat1 to activate ARO10 in the Ehrlich pathway .
KEGG: sce:YMR280C
STRING: 4932.YMR280C
Proper validation of CAT8 antibody is essential before experimental application. A robust validation protocol should include:
Western blot analysis comparing CAT8 expression in wild-type cells versus CAT8 knockout or knockdown models
Testing across multiple cell types with known differential expression of CAT8
Immunoprecipitation followed by mass spectrometry to confirm target specificity
Peptide competition assays to verify epitope specificity
Cross-validation using at least two different CAT8 antibodies targeting distinct epitopes
The validation approach should match your intended application. For instance, an antibody performing well in Western blot may not necessarily work in immunohistochemistry due to differences in epitope accessibility under various fixation conditions .
For optimal Western blot results with CAT8 antibody:
Sample preparation: Use RIPA buffer supplemented with protease inhibitors for efficient extraction of nuclear proteins
Gel percentage: 10% SDS-PAGE gels typically provide good resolution for CAT8 (predicted molecular weight ~56 kDa)
Transfer conditions: 150mA for 120 minutes on nitrocellulose membrane
Blocking: 5% non-fat milk in TBST for 90 minutes at room temperature
Primary antibody dilution: Start with 1:1000 dilution (optimize as needed)
Incubation: Overnight at 4°C with gentle rocking
Secondary antibody: Anti-species IgG-HRP at 1:10,000 dilution for 45 minutes at room temperature
Washing: 4 × 5 minutes with TBST
Detection: Enhanced chemiluminescence with exposure times adjusted based on signal strength
Always include appropriate positive and negative controls to validate specificity.
To maintain CAT8 antibody activity:
Store unconjugated antibodies at -20°C in small aliquots to minimize freeze-thaw cycles
For working solutions, store at 4°C with 0.02% sodium azide as preservative (typically stable for 1-2 months)
Avoid repeated freeze-thaw cycles (no more than 5 cycles recommended)
When thawing, allow antibody to reach room temperature gradually before opening
Centrifuge briefly before opening to collect solution at the bottom of the tube
For long-term storage beyond 1 year, consider lyophilization if manufacturer indicates compatibility
When using CAT8 antibody for ChIP assays, consider:
Cross-linking optimization: As a transcription factor, CAT8 binds DNA, requiring careful optimization of formaldehyde cross-linking (1-2% for 10-15 minutes typically works well)
Sonication conditions: Adjust to generate DNA fragments of 200-500 bp
Antibody amount: Use 2-5 μg of CAT8 antibody per ChIP reaction
Preclearing: Include to reduce background
Controls: Always include:
Input DNA (non-immunoprecipitated)
IgG control (same species as CAT8 antibody)
Positive control (antibody against histone mark)
Negative control loci (regions not expected to bind CAT8)
Validation: Confirm enrichment at known CAT8 target genes via qPCR before proceeding to sequencing
This approach enables accurate identification of CAT8 binding sites genome-wide.
For studying CAT8 protein interactions:
Co-immunoprecipitation (Co-IP):
Use mild lysis buffers (avoid strong detergents that may disrupt protein complexes)
Pre-clear lysates to reduce non-specific binding
Use 2-5 μg of CAT8 antibody per mg of total protein
Include RNase A treatment to eliminate RNA-mediated interactions
Verify interactions by reciprocal Co-IP when possible
Proximity ligation assay (PLA):
Requires CAT8 antibody raised in a different species than antibodies against potential interacting partners
Optimal fixation: 4% paraformaldehyde for 15 minutes
Permeabilization: 0.2% Triton X-100 for 10 minutes
Blocking: 5% BSA for 1 hour
Primary antibody dilution: 1:100 to 1:500 (optimize for each application)
FRET/BRET approaches:
CAT8 antibody can validate interaction results from these techniques by confirming the presence of both proteins in the expected subcellular compartments
To investigate CAT8 phosphorylation:
Phospho-specific antibodies:
Use antibodies that specifically recognize phosphorylated CAT8 at known sites
Always compare with total CAT8 antibody detection
Include phosphatase-treated samples as negative controls
Phos-tag SDS-PAGE:
Incorporate Phos-tag reagent (50-100 μM) and MnCl₂ (100-200 μM) into acrylamide gels
Run at lower voltage (10-15 V/cm) to maintain resolution
Include EDTA in transfer buffer to remove manganese ions
Detect with standard CAT8 antibody
Mass spectrometry:
Immunoprecipitate CAT8 using validated antibody
Analyze by LC-MS/MS for phosphorylation site identification
Compare samples with and without phosphatase treatment
These approaches should be used complementarily to confirm phosphorylation status and identify specific modification sites .
When facing unexpected banding patterns:
Common causes and solutions:
Multiple bands: May represent post-translational modifications, splice variants, or degradation products
Higher molecular weight bands: Potential dimers/oligomers (add more reducing agent) or post-translational modifications
Lower molecular weight bands: Potential degradation (add more protease inhibitors) or splice variants
No bands: Increase antibody concentration, extend exposure time, or check protein extraction method
Validation approaches:
Peptide competition assay: Pre-incubate antibody with immunizing peptide; specific bands should disappear
siRNA/shRNA knockdown: Specific bands should show reduced intensity
Phosphatase treatment: If bands represent phosphorylated forms, pattern should change
Sample from CAT8 knockout system: Specific bands should be absent
Optimization strategies:
To improve immunofluorescence results:
Fixation optimization:
For nuclear proteins like CAT8, try 4% PFA for 15-20 minutes
Consider methanol fixation (100%, -20°C, 10 minutes) for better nuclear protein detection
Test dual fixation methods (PFA followed by methanol) for challenging epitopes
Permeabilization considerations:
Use 0.1-0.5% Triton X-100 for nuclear proteins (10 minutes)
Consider 0.5% saponin for gentler permeabilization if Triton causes epitope loss
Blocking enhancements:
Include 10% serum from the species of secondary antibody
Add 0.1-0.3% Triton X-100 to blocking solution for better penetration
Consider specialized blocking reagents for tissues with high autofluorescence
Antibody optimization:
Test concentration gradient (1:50 to 1:1000)
Extend incubation time (overnight at 4°C)
Include 0.05% Tween-20 in antibody dilution buffer
Signal amplification options:
Tyramide signal amplification for weak signals
Biotin-streptavidin systems for amplification
Consider super-resolution microscopy techniques for detailed localization
To distinguish endogenous from overexpressed CAT8:
Comparative analysis approaches:
Side-by-side Western blot of untransfected and CAT8-overexpressing cells
Titration experiment with increasing amounts of overexpression construct
Comparison of signal intensities relative to housekeeping proteins
Technical validation:
Use antibodies recognizing different epitopes of CAT8
For tagged constructs, compare detection with tag-specific and CAT8 antibodies
Perform immunoprecipitation with one antibody and detect with another
Quantitative assessment:
Perform absolute quantification using purified recombinant CAT8 protein standard curve
Compare signal intensities between endogenous and overexpressed samples using densitometry
Calculate fold-change in expression levels
For investigating CAT8's transcriptional regulation role:
Chromatin analysis techniques:
ChIP-seq: Use CAT8 antibody to identify genome-wide binding sites
CUT&RUN or CUT&Tag: Higher resolution alternatives to traditional ChIP
ChIP-reChIP: Detect co-occupancy with other transcription factors
ChIP-qPCR: Targeted analysis of specific regulatory regions
Functional studies:
Luciferase reporter assays with wild-type vs. CAT8-depleted cells
CRISPR activation/repression at CAT8 binding sites
Correlation of CAT8 binding with chromatin accessibility (ATAC-seq)
Integration with transcriptome data (RNA-seq) to connect binding with gene regulation
Interaction network mapping:
Proximity-dependent biotin labeling (BioID) followed by CAT8 antibody validation
Mass spectrometry analysis of CAT8 complexes precipitated by the antibody
High-content screening to identify factors affecting CAT8 nuclear localization
These approaches provide complementary information about CAT8's regulatory functions .
When studying CAT8's role in metabolism:
Context-specific expression analysis:
Compare CAT8 levels across tissues with different metabolic profiles
Analyze expression changes in response to metabolic stressors (glucose deprivation, hypoxia)
Correlate with metabolic enzyme expression patterns
Post-translational modification assessment:
Use phospho-specific antibodies to monitor CAT8 activation status
Combine with metabolic flux analysis to correlate activity with metabolic outcomes
Perform time-course studies following metabolic perturbations
Experimental design considerations:
Always standardize nutritional conditions before sample collection
Consider circadian variations in metabolism-related transcription factors
Include both acute and chronic metabolic challenges in experimental design
Systems biology approaches:
To investigate CAT8 across different contexts:
Tissue and cell type profiling:
Immunohistochemistry with CAT8 antibody across tissue panels
Flow cytometry for single-cell analysis in heterogeneous populations
scRNA-seq validation of CAT8 protein expression patterns
Disease model applications:
Compare CAT8 levels between normal and diseased tissues using consistent protocols
Assess subcellular localization changes in disease states
Correlate with disease progression markers
Functional assessment strategies:
Genetic manipulation (CRISPR, RNAi) followed by CAT8 antibody validation
Patient-derived xenografts or organoids with CAT8 immunostaining
Ex vivo tissue slice cultures with CAT8 perturbation
Translational research considerations:
When facing conflicting results:
Technical considerations:
Different applications expose different epitopes (native vs. denatured)
Fixation methods may affect epitope accessibility differently
Antibody concentrations need application-specific optimization
Buffer compositions can significantly impact antibody performance
Methodological approach:
Prioritize results from methods with proper controls
Consider the nature of the conflict (presence/absence vs. localization vs. interaction)
Validate with alternative antibodies targeting different epitopes
Use complementary techniques that don't rely on antibodies
Biological considerations:
Cell type-specific post-translational modifications may affect detection
Alternative splicing can result in different detection patterns
Protein complex formation may mask epitopes in certain applications
Dynamic changes in protein conformation could affect antibody binding
A systematic approach comparing all variables can help resolve apparent contradictions and reveal biological insights.
For robust statistical analysis:
Experimental design prerequisites:
Determine appropriate sample size through power analysis
Include biological replicates (different samples) and technical replicates (same sample tested multiple times)
Establish normalization strategy before beginning experiments
Randomize sample processing order to minimize batch effects
Analysis approaches for different applications:
Western blot: Densitometry with normalization to loading controls
Immunohistochemistry: Scoring systems (H-score, Allred) or digital image analysis
ChIP-qPCR: Percent input or fold enrichment over IgG control
Proximity ligation assay: Spots per cell with appropriate area normalization
Advanced analytical considerations:
Test data for normality before selecting parametric/non-parametric tests
Account for multiple comparisons when testing across conditions
Consider hierarchical statistical models for nested experimental designs
Report effect sizes alongside p-values for better interpretation
Transparent reporting of all statistical methods and raw data availability enhances reproducibility.
For multi-omics integration:
Data preparation strategies:
Normalize antibody-based quantification across experimental batches
Transform data appropriately for cross-platform compatibility
Establish common identifiers across different data types
Consider time-course alignment when combining dynamic datasets
Integration approaches:
Correlation analysis: Calculate associations between CAT8 binding/levels and other molecular features
Network analysis: Position CAT8 within larger regulatory networks
Machine learning: Use supervised or unsupervised methods to identify patterns
Pathway enrichment: Connect CAT8 targets with functional outcomes
Validation frameworks:
Use orthogonal antibody-based methods to validate key findings
Perform perturbation studies to test predicted regulatory relationships
Implement cross-validation approaches when applying predictive models
Consider external datasets for independent confirmation
Visualization techniques:
For single-cell applications:
Mass cytometry (CyTOF) considerations:
Metal-conjugated CAT8 antibodies enable simultaneous measurement with dozens of other markers
Requires thorough validation of metal-tagged antibody specificity
Optimization of permeabilization protocols for nuclear transcription factors
Data analysis using dimensionality reduction (tSNE, UMAP) and clustering algorithms
Single-cell Western blot applications:
Microfluidic platforms allow protein analysis in individual cells
CAT8 antibody concentration typically needs to be higher than conventional Western blot
Requires careful optimization of cell capture and lysis conditions
Enables correlation between CAT8 levels and cellular phenotypes
Spatial transcriptomics integration:
Combine immunofluorescence using CAT8 antibody with spatial transcriptomics
Correlate protein localization with gene expression patterns
Identify microenvironmental factors influencing CAT8 activity
Study heterogeneity of CAT8 expression within tissue architecture
These techniques provide unprecedented resolution of CAT8 biology at the single-cell level .
For high-throughput screening:
Assay development considerations:
Miniaturization: Optimize antibody concentration for reduced volumes
Automation compatibility: Ensure protocols work with liquid handling systems
Signal stability: Determine optimal time windows for detection
Z-factor optimization: Achieve >0.5 for robust screening
Screening formats:
Reverse-phase protein arrays: Spot samples for CAT8 antibody probing
Cell-based imagining: High-content screening with CAT8 antibody
AlphaScreen/HTRF: Proximity-based detection of CAT8 interactions
Automated Western blot systems: Higher throughput protein analysis
Data analysis approaches:
Implement quality control metrics for each plate/batch
Develop robust normalization methods to compare across plates
Consider machine learning for pattern recognition in complex datasets
Establish clear criteria for hit selection and validation
Validation strategy:
Confirm hits with orthogonal antibody-based methods
Use dose-response studies for compounds affecting CAT8
Implement genetic validation (siRNA, CRISPR) of screening results
Secondary assays to confirm mechanism of action
Emerging antibody technologies relevant to CAT8 research:
Next-generation recombinant antibodies:
Single-chain variable fragments (scFvs) for improved tissue penetration
Camelid nanobodies with enhanced stability and epitope access
Bispecific antibodies to simultaneously target CAT8 and interacting partners
Intrabodies for live-cell tracking of CAT8 in specific subcellular compartments
Site-specific conjugation approaches:
Enzymatic labeling techniques for controlled antibody modification
Click chemistry for orthogonal functionalization
Sortase-mediated antibody conjugation for defined labeling
DNA-barcoded antibodies for highly multiplexed detection
Emerging applications:
Optogenetic antibody systems for light-controlled CAT8 modulation
PROTAC-antibody conjugates for targeted CAT8 degradation
Antibody-mediated proximity labeling for microenvironment mapping
Genetic encoding of anti-CAT8 intrabodies for real-time monitoring
These advances will enable more precise manipulation and analysis of CAT8 function in increasingly complex experimental systems .