ATL4 refers to the ADAMTSL4 gene (ADAMTS Like 4), which encodes a protein involved in extracellular matrix regulation and fibrillin-1 microfibril biogenesis . This gene is associated with genetic disorders like ectopia lentis but has no direct link to antibody therapeutics .
In contrast, antibodies targeting ATL (Adult T-cell Leukemia) are well-documented, including those against HTLV-1 gp46, CCR4, and other biomarkers. These therapeutic antibodies are critical for managing HTLV-1-induced malignancies .
Role: Neutralize HTLV-1 virions and induce antibody-dependent cellular cytotoxicity (ADCC) against infected cells .
Clinical Correlation:
Data from serological studies :
| Group | Anti-Gag IgG | Anti-Env IgG | Anti-Tax IgG |
|---|---|---|---|
| Asymptomatic Carriers | Moderate | Moderate | Low |
| HAM/TSP Patients | High | High | High |
| ATL Patients | Low | Moderate | Low |
HAM/TSP patients show elevated antibodies against all HTLV-1 antigens compared to ATL patients .
Anti-Tax antibodies are nearly absent in ATL, suggesting immune evasion .
ATL4 antibody is a research-grade immunological reagent designed to detect and bind to the ADAMTSL4 protein (also known as TSRC1, PP1396, or UNQ2803/PRO34012). The antibody specifically targets synthetic peptides derived from human ATL4 and shows reactivity across human, mouse, and rat samples . ADAMTSL4 belongs to the ADAMTS-like protein family, which has been implicated in extracellular matrix organization and various developmental processes.
Based on available product information, ATL4 antibody (catalog number C40337) is primarily validated for Western Blot (WB) applications at dilutions of 1:500-2000 . For researchers considering other applications such as immunohistochemistry, immunofluorescence, or ELISA, it is essential to conduct validation studies before proceeding with experiments, as application-specific validation is a critical determinant of antibody performance and reproducibility in scientific research .
The ATL4 antibody described in the literature is a polyclonal antibody raised in rabbits and affinity-purified using a specific immunogen (synthesized peptide derived from human ATL4). It is typically supplied at a concentration of 1 mg/ml in PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide. The antibody detects endogenous levels of ATL4 in human, mouse, and rat samples and has a recommended storage temperature of -20°C with a shelf life of approximately one year .
After selecting an ATL4 antibody, researchers should perform context-specific validation for their particular research question and experimental system . A comprehensive validation approach includes:
Positive and negative controls: Use samples with known expression levels of ADAMTSL4, including knockout or knockdown models where available
Blocking peptide competition: Competition with the immunizing peptide should abolish specific binding
Multiple detection methods: Confirm results using orthogonal techniques (e.g., mass spectrometry)
Reproducibility testing: Ensure consistent results across multiple experimental replicates
Molecular weight verification: Confirm that the detected band matches the expected molecular weight of ADAMTSL4
This thorough validation process helps ensure that experimental results accurately reflect ADAMTSL4 biology rather than non-specific binding or artifacts.
When selecting an ATL4 antibody, researchers should evaluate several critical factors:
Validation data quality: Review all available validation images and supporting data provided by the manufacturer
Application suitability: Ensure the antibody has been validated for your specific application (e.g., Western blot, IHC, IF)
Species reactivity: Verify cross-reactivity with your experimental model organism
Clonality consideration: Determine whether polyclonal or monoclonal antibodies are more appropriate for your research question
Manufacturer reputation: Purchase from transparent companies that disclose antigen information and provide comprehensive validation data
Literature precedent: Review published studies that have successfully used the antibody
Finding an antibody that meets these criteria increases the likelihood of obtaining reproducible and reliable results in ATL4 research.
For optimal Western blot results with ATL4 antibody, researchers should consider the following protocol modifications:
Sample Preparation and Electrophoresis:
Use fresh tissue/cell lysates prepared with protease inhibitors
Determine optimal protein loading (typically 20-50 μg of total protein)
Select appropriate gel percentage based on ADAMTSL4's molecular weight
Blotting and Detection Parameters:
Transfer time: 60-90 minutes at 100V or overnight at 30V (4°C)
Blocking: 5% non-fat dry milk or BSA in TBST (1 hour, room temperature)
Incubation time: Overnight at 4°C
Secondary antibody: HRP-conjugated anti-rabbit IgG at 1:5000-1:10000
Detection: Enhanced chemiluminescence (ECL) substrate
The optimal dilution should be determined empirically for each new lot of antibody to ensure consistent and specific detection of ADAMTSL4.
While the specific ATL4 antibody mentioned (C40337) is not explicitly validated for immunoprecipitation, researchers attempting this application should consider these optimization strategies:
Pre-clearing: Remove non-specific binding proteins from lysates before adding ATL4 antibody
Antibody amount: Titrate antibody amount (typically 1-5 μg per 100-500 μg of total protein)
Incubation conditions: Test both short (2-4 hours) and long (overnight) incubations at 4°C
Bead selection: Compare protein A, protein G, or combination beads for optimal pull-down
Wash stringency: Balance between reducing background and maintaining specific interactions
Elution method: Test both gentle (non-denaturing) and harsh (denaturing) elution conditions
Researchers should validate immunoprecipitation efficiency through Western blot analysis of input, unbound, and eluted fractions to confirm specific enrichment of ADAMTSL4.
Proper analysis of Western blot data for ADAMTSL4 requires:
Molecular weight verification: ADAMTSL4 has predicted molecular weights that should be confirmed against detected bands
Quantification approach: Use appropriate software (ImageJ, Image Lab, etc.) for densitometric analysis
Normalization strategy: Normalize ADAMTSL4 signals to appropriate loading controls (β-actin, GAPDH, etc.)
Statistical analysis: Apply appropriate statistical tests based on experimental design, such as Friedman's test for comparing multiple techniques or Wilcoxon's matched-pairs signed-rank test for pairwise comparisons
Biological replicates: Include sufficient replicates (minimum n=3) for robust statistical analysis
When analyzing ADAMTSL4 expression patterns, researchers should consider potential post-translational modifications that might affect apparent molecular weight and antibody recognition.
The statistical approach should be tailored to the experimental design and data characteristics:
For parametric alternatives, researchers should first verify that data meet normality assumptions using appropriate tests (Shapiro-Wilk, Kolmogorov-Smirnov). Transformations (e.g., log transformation) may help achieve normality for statistical analysis when appropriate .
Researchers working with ATL4 antibody may encounter several common challenges:
Weak or no signal:
Increase antibody concentration or extend incubation time
Verify protein transfer efficiency with reversible staining
Confirm sample preparation preserves ADAMTSL4 protein integrity
Consider using enhanced detection systems (e.g., amplified chemiluminescence)
Multiple bands or high background:
Inconsistent results between experiments:
Standardize lysate preparation protocols
Use positive controls in each experiment
Maintain consistent exposure times during imaging
Implement quality control checkpoints throughout the protocol
Systematic troubleshooting approaches that modify one variable at a time help identify the source of experimental issues.
To maintain ATL4 antibody performance over time:
Storage conditions: Store antibody at -20°C as recommended, avoiding repeated freeze-thaw cycles by preparing small working aliquots
Handling practices: Maintain cold chain during experiments, avoid contamination, and use sterile technique
Quality control: Include positive and negative controls in each experiment to verify antibody performance
Lot testing: Validate each new lot against previous lots before use in critical experiments
Documentation: Maintain detailed records of antibody source, lot number, and performance in each application
Standardization: Use consistent protocols, reagents, and equipment across experiments
Implementing these practices reduces variability and increases confidence in experimental results across different time points and between researchers.
For researchers investigating ADAMTSL4 in complex biological contexts, multiplex approaches offer significant advantages:
Co-immunoprecipitation: Use ATL4 antibody to identify protein interaction partners of ADAMTSL4
Proximity ligation assay (PLA): Combine ATL4 antibody with antibodies against suspected interaction partners to visualize protein-protein interactions in situ
Multiplex immunofluorescence: Pair ATL4 antibody with antibodies against tissue markers to map ADAMTSL4 expression in heterogeneous tissues
ChIP-seq applications: If ADAMTSL4 has nuclear functions, ATL4 antibody could be adapted for chromatin immunoprecipitation studies
When developing multiplex assays, researchers must first validate antibody compatibility, including:
Absence of cross-reactivity between antibodies
Compatibility of antibody host species
Similar optimal fixation and antigen retrieval conditions
Spectral separation of detection systems
When applying ATL4 antibody to tissue microarrays (TMAs), researchers should address:
Fixation effects: Optimize antigen retrieval for formalin-fixed paraffin-embedded tissues
Antibody titration: Determine optimal concentration specifically for TMA applications
Scoring system: Develop and validate quantitative scoring methods for ADAMTSL4 expression
Controls: Include positive and negative control tissues in each TMA
Correlation analysis: Link ADAMTSL4 expression to clinical parameters and outcomes
Heterogeneity assessment: Evaluate multiple cores per case to account for tissue heterogeneity