CD81, also known as TAPA-1, is a transmembrane protein involved in cell adhesion, signaling, and immune regulation. The Eat-2 (EAT2) monoclonal antibody (Clone EAT2) specifically recognizes mouse CD81 and cross-reacts with rat CD81 . It is classified as a Functional Grade antibody, suitable for in vivo studies due to low endotoxin levels and absence of preservatives.
Expression Profile: CD81 is highly expressed on B cells, NK cells, macrophages, and dendritic cells, with lower levels on resting T cells . Activation upregulates CD81 on T cells.
Role in Immunity: CD81 facilitates homotypic B- and T-cell adhesion and costimulates T-cell activation. The Eat-2 antibody modulates these interactions by binding CD81.
Flow Cytometry: Detects CD81 on thymocytes and splenocytes with high specificity .
Immunoblotting/Immunoprecipitation: Validated for identifying CD81 in lysates.
Neutralization Studies: Blocks CD81 interactions in immune signaling pathways.
While the Eat-2 antibody itself is not directly linked to therapeutic studies in the provided sources, CD81 is implicated in:
Viral Entry: CD81 serves as a coreceptor for hepatitis C virus (HCV) .
Cancer and Autoimmunity: Altered CD81 expression correlates with lymphoma progression and autoimmune disorders .
The table below contrasts Eat-2 with another anti-CD81 antibody (Clone R9/M48) targeting Claudin-5, a tight junction protein :
Antibody validation remains critical for reproducibility. While the Eat-2 antibody is pre-tested for flow cytometry, broader validation (e.g., knockout controls) is recommended . Recent initiatives like YCharOS highlight the need for rigorous antibody characterization to avoid non-specific binding .
The eat-5 antibody (product code CSB-PA632923XA01CXY) is a polyclonal antibody that specifically targets the eat-5 protein (UniProt: Q27295) in Caenorhabditis elegans. This antibody is generated by immunizing rabbits with recombinant C. elegans eat-5 protein and is subsequently purified through antigen affinity techniques. It is formulated in a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. The antibody is strictly designated for research applications and should not be utilized in diagnostic or therapeutic procedures .
The eat-5 antibody is primarily employed in molecular techniques such as ELISA (Enzyme-Linked Immunosorbent Assay) and Western Blotting (WB) for detecting and quantifying eat-5 protein expression in C. elegans samples. These applications enable researchers to investigate protein localization, expression levels, and functional relationships in various experimental conditions. The antibody binds specifically to the eat-5 protein, allowing researchers to track its presence and abundance in tissue samples, whole worm lysates, or subcellular fractions .
Antibody-based detection relies on the specificity of antibodies to bind to their target antigens through a lock-and-key mechanism. In this process, the antibody's antigen receptors bind to specific epitopes on the target protein. For the eat-5 antibody, this interaction allows researchers to visualize or quantify the eat-5 protein in experimental samples. The detection typically involves a primary antibody (the eat-5 antibody) that binds directly to the target protein, followed by a secondary detection system (often involving enzyme-conjugated secondary antibodies or fluorescent tags) that amplifies the signal and enables visualization .
For optimal Western blot analysis using eat-5 antibody, researchers should follow this methodological framework:
Sample Preparation:
Extract proteins from C. elegans using appropriate lysis buffers that preserve protein integrity
Include protease inhibitors to prevent protein degradation
Quantify total protein using Bradford or BCA assay to ensure equal loading
Gel Electrophoresis and Transfer:
Separate proteins using SDS-PAGE (typically 10-12% gels)
Transfer proteins to PVDF or nitrocellulose membranes at 100V for 60-90 minutes
Verify transfer efficiency using Ponceau S staining
Antibody Incubation:
Block membrane with 5% non-fat milk or BSA in TBST for 1 hour at room temperature
Incubate with eat-5 antibody at optimal dilution (typically 1:500-1:2000) overnight at 4°C
Wash 3 times with TBST, 5 minutes each
Incubate with HRP-conjugated secondary antibody for 1 hour at room temperature
Wash 3 times with TBST, 5 minutes each
Detection and Analysis:
Validating antibody specificity is critical for ensuring reliable results. For eat-5 antibody, researchers should implement the following validation strategy:
Positive and Negative Controls:
Use wild-type C. elegans samples as positive controls
Use eat-5 knockout or knockdown samples as negative controls
Include samples from related species to assess cross-reactivity
Immunodepletion Studies:
Pre-incubate the antibody with purified recombinant eat-5 protein
Compare detection in depleted versus non-depleted antibody samples
Observe elimination of signal in depleted samples if antibody is specific
Orthogonal Detection Methods:
Correlate antibody detection with mRNA expression (RT-PCR)
Compare results with mass spectrometry data if available
Use alternative antibodies targeting different epitopes of the same protein
Reproducibility Assessment:
To maintain optimal activity and specificity of the eat-5 antibody, researchers should adhere to these storage and handling guidelines:
Long-term Storage:
Store at -20°C or -80°C upon receipt
Avoid repeated freeze-thaw cycles by preparing small aliquots
Maintain in the original storage buffer containing 50% glycerol
Working Solution Preparation:
Thaw aliquots on ice
Dilute in appropriate buffer immediately before use
Return unused stock solution to -20°C promptly
Shipping and Transportation:
Transport on dry ice for long distances
Use ice packs for short transports
Quality Monitoring:
Co-immunoprecipitation (Co-IP) with eat-5 antibody enables identification of protein interaction partners through the following protocol:
Sample Preparation:
Prepare C. elegans lysate under non-denaturing conditions using gentle lysis buffers
Include appropriate protease/phosphatase inhibitors
Pre-clear lysate with Protein A/G beads to reduce non-specific binding
Immunoprecipitation:
Incubate cleared lysate with eat-5 antibody (2-5 μg) overnight at 4°C with gentle rotation
Add pre-equilibrated Protein A/G beads and incubate for 2-4 hours
Wash beads 4-5 times with cold wash buffer
Elute bound proteins using gentle elution buffer or by boiling in SDS sample buffer
Analysis of Interacting Partners:
Separate eluted proteins by SDS-PAGE
Analyze by Western blotting for suspected interacting partners
Alternatively, perform mass spectrometry for unbiased identification of all co-precipitated proteins
Validation of Interactions:
Immunohistochemistry (IHC) with eat-5 antibody requires careful attention to multiple parameters:
Fixation and Permeabilization:
Select appropriate fixation method (typically paraformaldehyde for C. elegans)
Optimize fixation time to preserve antigen integrity while allowing antibody access
Determine optimal permeabilization conditions (e.g., Triton X-100 concentration and time)
Antigen Retrieval:
Assess need for antigen retrieval methods
Test multiple retrieval protocols if initial staining is weak
Monitor tissue morphology during retrieval process
Blocking and Antibody Incubation:
Block with appropriate serum (5-10% normal goat serum)
Determine optimal primary antibody dilution through titration experiments
Optimize incubation time and temperature
Controls and Analysis:
The polyclonal nature of the eat-5 antibody introduces specific considerations that impact experimental design and data interpretation:
| Characteristic | Experimental Impact | Mitigation Strategy |
|---|---|---|
| Recognition of multiple epitopes | Enhanced detection sensitivity | Validate with additional techniques |
| Potential batch-to-batch variability | Reduced experimental reproducibility | Test and document each batch; maintain reference standards |
| Binding to shared epitopes | Possible cross-reactivity | Perform thorough specificity testing; use blocking peptides |
| Heterogeneous antibody population | Variable binding affinities | Optimize conditions for each application; consider purification |
Researchers should acknowledge these characteristics when designing experiments and interpreting results, particularly when comparing data across studies or when quantitative precision is required. Only approximately 0.5% to 5% of antibodies in a polyclonal reagent typically bind to their intended target, requiring robust controls and validation processes .
Non-specific binding with eat-5 antibody can arise from multiple sources, each requiring specific mitigation strategies:
Insufficient Blocking:
Problem: Inadequate blocking leaves sites for non-specific antibody binding
Solution: Extend blocking time to 2 hours; test alternative blocking agents (BSA, casein, commercial blocking buffers); increase blocking agent concentration to 5-10%
Suboptimal Antibody Dilution:
Problem: Too concentrated antibody increases background signal
Solution: Perform systematic titration series; typically start with 1:500 and test up to 1:5000
Cross-Reactivity Issues:
Problem: Antibody binding to proteins with similar epitopes
Solution: Pre-absorb antibody with recombinant proteins or tissue lysates containing potential cross-reactive proteins; use more stringent wash conditions
Sample Preparation Issues:
Optimizing signal-to-noise ratio in immunofluorescence requires systematic refinement of multiple parameters:
Antibody Concentration Optimization:
Perform titration experiments with serial dilutions
Balance detection sensitivity with background minimization
Document optimal concentration for specific tissue preparations
Incubation Conditions Refinement:
Test varying temperatures (4°C, room temperature)
Adjust incubation times (overnight vs. 1-4 hours)
Consider using speciality incubation chambers to minimize evaporation
Washing Protocol Enhancement:
Increase number of washes (3-5 washes)
Extend wash duration (10-15 minutes per wash)
Test different wash buffers with varying detergent concentrations
Microscopy Settings:
Inconsistent results with eat-5 antibody can be addressed through a systematic troubleshooting approach:
Antibody Quality Assessment:
Test antibody activity using a standard positive control with each experiment
Consider creating a reference standard from a single batch of C. elegans lysate
Monitor antibody performance over time and with different lots
Protocol Standardization:
Develop detailed SOPs for each application
Control critical parameters (temperature, pH, incubation times)
Use automated systems where possible to reduce operator variability
Sample Preparation Consistency:
Standardize lysis conditions and buffer compositions
Process all comparative samples simultaneously
Control for worm age, growth conditions, and developmental stage
Statistical Approaches:
Comparison of antibody-based detection versus genetic tagging approaches reveals distinct advantages and limitations:
| Parameter | eat-5 Antibody Detection | GFP-Tagging of eat-5 |
|---|---|---|
| Native Protein Detection | Detects endogenous protein without modification | Requires genetic modification that may alter function |
| Temporal Resolution | Provides snapshot of protein state | Allows real-time and longitudinal imaging |
| Spatial Resolution | Dependent on antibody specificity and microscopy technique | High specificity for tagged protein |
| Quantification | Semi-quantitative; influenced by antibody affinity | Directly quantifiable fluorescence intensity |
| Post-translational Modifications | Can detect specific modifications with appropriate antibodies | Cannot distinguish post-translational modifications |
| Technical Complexity | Requires fixation and multiple processing steps | Simpler imaging of live organisms |
| Applications | Best for examining endogenous protein in fixed samples | Ideal for dynamic tracking in live animals |
This comparison should guide researchers in selecting the appropriate approach based on specific experimental questions and available resources .
Quantitative Western blotting with eat-5 antibody faces several technical challenges that require specific mitigation strategies:
Non-linear Relationship Between Signal and Protein Amount:
Challenge: Signal saturation at higher protein concentrations
Mitigation: Create standard curves with serial dilutions; operate within linear range; use digital acquisition systems
Variable Transfer Efficiency:
Challenge: Proteins transfer differently based on molecular weight
Mitigation: Use stain-free gels for total protein normalization; verify transfer with reversible staining
Loading Control Limitations:
Challenge: Traditional housekeeping proteins may vary across conditions
Mitigation: Use total protein normalization; validate stability of reference proteins in your experimental system
Batch Effects:
Challenge: Variation between blots run on different days
Mitigation: Include internal standards on each blot; run all comparable samples on the same blot when possible
Densitometry Challenges:
Integration of eat-5 antibody techniques with complementary methodologies creates a robust functional analysis framework:
Multi-omics Integration:
Combine antibody-detected protein levels with transcriptomics (RNA-seq of eat-5)
Correlate protein localization with interactome data from IP-MS
Integrate with metabolomic changes in eat-5 mutants
Structure-Function Analysis:
Use antibody detection to validate expression of structure-based mutants
Combine with electrophysiology to correlate protein expression with functional outcomes
Support computational modeling with validated protein localization data
Temporal and Spatial Coordination:
Map antibody-detected expression patterns to developmental timelines
Correlate with behavioral assays at specific developmental stages
Use tissue-specific promoters to manipulate expression in antibody-validated locations
Translational Research Applications:
Recombinant antibody technology offers several advantages that could significantly advance eat-5 research:
Enhanced Reproducibility:
Defined genetic sequence ensures consistent antibody production
Eliminates batch-to-batch variation inherent in animal-derived polyclonal antibodies
Enables precise replication of experimental conditions across laboratories
Improved Specificity:
Selection of high-affinity binders through display technologies
Engineering to reduce cross-reactivity with similar proteins
Ability to target specific epitopes with precision
Customization Potential:
Engineering antibodies for specific applications (WB, IF, IP)
Optimizing properties such as stability, solubility, and detection sensitivity
Creating application-specific variants with tailored characteristics
Ethical Considerations:
Eliminates need for animal immunization
Aligns with 3Rs principle (replacement, reduction, refinement)
Supports sustainable research practices
Future eat-5 research would benefit greatly from transitioning to recombinant antibody technology, potentially resolving many current limitations of polyclonal reagents .
Advances in super-resolution microscopy open exciting possibilities for eat-5 antibody applications:
Subcellular Localization Precision:
Nanoscale mapping of eat-5 distribution within cellular compartments
Resolution of protein clusters below diffraction limit (10-20 nm precision)
Three-dimensional reconstruction of eat-5 distribution patterns
Molecular Interaction Analysis:
Direct visualization of eat-5 protein interactions at molecular scale
Quantification of co-localization with unprecedented accuracy
Detection of transient interaction events through multi-color PALM/STORM
Temporal Dynamics Resolution:
Tracking protein movement with combined high spatial and temporal resolution
Monitoring conformational changes upon activation or binding
Capturing rapid redistribution events following stimulation
Correlative Microscopy Integration:
Artificial intelligence and machine learning technologies are poised to revolutionize eat-5 antibody research:
Antibody Design Optimization:
Predictive modeling of antibody-antigen interactions
Generation of optimized antibody sequences using deep learning approaches
Identification of ideal epitopes for maximum specificity and sensitivity
Automated Image Analysis:
Unbiased quantification of staining patterns and intensities
Detection of subtle phenotypic changes in high-content screening
Cross-experimental standardization of image interpretation
Data Integration Frameworks:
Correlation of antibody-detected signals with multi-omics datasets
Pattern recognition across heterogeneous experimental results
Prediction of functional relationships based on spatial co-localization
Quality Control Enhancement:
Automated assessment of antibody specificity and performance
Early detection of experimental artifacts or inconsistencies
Standardization of validation protocols and acceptance criteria
These emerging technologies could substantially enhance the reliability, throughput, and interpretative power of eat-5 antibody-based research, potentially accelerating discovery in C. elegans neurobiology and development studies .