Anti-ADAMTS13 autoantibodies target the enzyme ADAMTS13, a metalloprotease critical for cleaving von Willebrand factor (VWF) multimers. These autoantibodies cause severe ADAMTS13 deficiency (<10% activity), leading to microthrombosis in iTTP .
Studies identified three dominant immunoprofiles in acute iTTP:
| Profile | Domain Targets | Prevalence (Acute Phase) | Clinical Associations |
|---|---|---|---|
| 1 | CS only | 26.7% | Younger age |
| 2 | CS + CUB1-2 | 12.2% | Higher relapse risk |
| 3 | DT + CS + T2-T5 + T6-T8 + CUB1-2 | 8.4% | Older age, severe outcomes |
Anti-CS autoantibodies persist in remission (52% of cases), suggesting a role in chronic immune dysregulation .
Higher anti-ADAMTS13 IgG titers correlate with increased mortality (16.9% vs. 5.0% in lower quartiles) .
Inhibition Mechanisms: Autoantibodies induce conformational changes in ADAMTS13’s catalytic domain, reducing substrate affinity by up to 20-fold .
Allosteric Modulation: Some antibodies (e.g., scFv3–3) enhance ADAMTS13 activity at physiological pH, suggesting complex regulatory roles .
Humanized Antibodies: A10/16E8, a humanized anti-ADAMTS13 antibody, inhibits VWF cleavage with retained efficacy (EC₅₀: 1.03 nM at pH 7.45) .
Targeted Therapies: Anti-CS autoantibodies are prioritized for drug development due to their persistence across disease phases .
tam13 Antibody (product code CSB-PA516837XA01SXV) is a polyclonal antibody raised in rabbits against recombinant Schizosaccharomyces pombe (strain 972/ATCC 24843) tam13 protein. It is provided in liquid form containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. The antibody targets the protein corresponding to UniProt accession number G2TRQ0 and has been validated for ELISA and Western blot applications .
When working with this antibody, it's essential to understand that it's designed specifically for research use in fission yeast systems, not for diagnostic or therapeutic applications. The antibody recognizes epitopes on the tam13 protein, which serves as an important experimental tool for researchers studying S. pombe cellular processes.
For optimal longevity and performance, tam13 Antibody should be stored at either -20°C or -80°C upon receipt. It's critical to avoid repeated freeze-thaw cycles as these can significantly degrade antibody activity and reduce specificity. Since the antibody is supplied in a glycerol-containing buffer (50% glycerol), it remains liquid at freezer temperatures, facilitating aliquoting .
When handling the antibody, best practices include:
Aliquoting the stock into single-use volumes to minimize freeze-thaw cycles
Always keeping the antibody on ice when in use
Briefly centrifuging tubes after thawing to collect all liquid at the bottom
Recording lot numbers and purchase dates for experimental reproducibility
Following manufacturer guidelines for recommended shelf-life
tam13 Antibody has been specifically tested and validated for enzyme-linked immunosorbent assay (ELISA) and Western blot (WB) applications. These techniques allow researchers to detect and quantify tam13 protein in research samples .
For optimal Western blot results with tam13 Antibody, the following methodological approach is recommended:
Sample Preparation:
Harvest S. pombe cells at mid-log phase
Lyse cells in buffer containing protease inhibitors
Quantify protein concentration using Bradford or BCA assay
Gel Electrophoresis:
Load 20-50 µg total protein per lane on 10-12% SDS-PAGE
Include positive and negative controls
Transfer and Blocking:
Transfer to PVDF membrane (0.45 µm pore size)
Block with 5% non-fat dry milk in TBST for 1 hour at room temperature
Antibody Incubation:
Dilute tam13 Antibody 1:500 to 1:2000 in blocking buffer
Incubate membrane overnight at 4°C with gentle agitation
Wash 3× with TBST (10 minutes each)
Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000) for 1 hour
Wash 3× with TBST (10 minutes each)
Detection:
Develop using enhanced chemiluminescence (ECL) substrate
Expected molecular weight for tam13 protein is approximately 45-50 kDa
This protocol should be optimized for specific experimental conditions, and results should be validated using appropriate controls to ensure specificity .
When encountering weak or absent signals with tam13 Antibody, a systematic troubleshooting approach is essential:
| Problem | Potential Cause | Methodological Solution |
|---|---|---|
| No signal | Insufficient protein | Increase loading (50-100 µg); confirm protein transfer with Ponceau S |
| Degraded antibody | Use fresh aliquot; verify storage conditions | |
| Inefficient transfer | Optimize transfer time/voltage; check buffer composition | |
| High background | Insufficient blocking | Extend blocking time; try alternative blocking agents (BSA vs. milk) |
| Excessive antibody | Further dilute antibody (1:2000-1:5000) | |
| Inadequate washing | Increase wash duration and number of washes | |
| Multiple bands | Cross-reactivity | Increase antibody dilution; perform peptide competition assay |
| Protein degradation | Add additional protease inhibitors; maintain cold chain |
For persistent issues, consider experimenting with alternative detection methods or confirming target protein expression under your specific experimental conditions. When working with yeast samples, cell wall disruption efficiency can significantly impact protein extraction yield, so optimizing lysis conditions may improve results .
Validating the specificity of tam13 Antibody requires a multi-faceted approach:
Genetic Validation:
Compare signal between wild-type and tam13 knockout/knockdown S. pombe strains
Use overexpression systems to confirm signal intensification
Generate epitope-tagged versions for parallel detection with tag-specific antibodies
Molecular Validation:
Confirm single band of expected molecular weight in Western blot
Perform mass spectrometry analysis of immunoprecipitated material
Use peptide competition assays to confirm epitope specificity
Cross-Reactivity Assessment:
Test against related yeast species lacking tam13 homologs
Evaluate reactivity with recombinant tam13 fragments to map epitopes
Document any cross-reacting proteins
Technical Controls:
Include isotype control antibodies raised in the same species
Use secondary-only controls to assess non-specific binding
Test pre-immune serum when available
Similar validation approaches have been widely used for antibodies targeting proteins in the TAM receptor family, demonstrating that comprehensive validation is essential for confident interpretation of research findings .
While primarily validated for ELISA and Western blot, tam13 Antibody can be adapted for immunoprecipitation with methodological adjustments:
Lysis Buffer Optimization:
Use mild, non-denaturing buffer to preserve protein conformation
Include protease inhibitors, phosphatase inhibitors, and EDTA
Test different detergent concentrations (0.5-1% NP-40 or Triton X-100)
Pre-clearing Strategy:
Pre-clear lysate with Protein A/G beads (1 hour at 4°C)
Remove non-specific binding proteins by centrifugation
Retain a sample of pre-cleared lysate as input control
Antibody Binding:
Use 2-5 µg antibody per 500 µg total protein
Incubate overnight at 4°C with gentle rotation
Add pre-washed Protein A/G beads and incubate 2-4 hours
Washing and Elution:
Use increasingly stringent washes to reduce background
Elute bound proteins with low pH buffer or SDS sample buffer
Analyze by Western blot or mass spectrometry
Controls:
Include negative control (normal rabbit IgG)
Use tam13 knockout samples as specificity controls
Verify immunoprecipitation efficiency by immunoblotting
Similar immunoprecipitation approaches have been successfully employed with antibodies targeting other TAM family proteins, suggesting this methodology can be adapted for tam13 .
Adapting tam13 Antibody for immunofluorescence microscopy requires special considerations for yeast cells:
Cell Wall Digestion:
Treat cells with enzymatic cocktail (zymolyase/lyticase) to create spheroplasts
Optimize digestion time to balance cell integrity and antibody accessibility
Monitor spheroplast formation microscopically
Fixation Optimization:
Test multiple fixation methods:
4% paraformaldehyde (10-20 minutes)
Cold methanol (-20°C, 6 minutes)
Combined formaldehyde-methanol fixation
Balance epitope preservation with membrane permeabilization
Antibody Incubation:
Block with 3-5% BSA in PBS (30-60 minutes)
Test tam13 Antibody at 1:100 to 1:500 dilutions
Incubate overnight at 4°C in humidity chamber
Use fluorophore-conjugated anti-rabbit secondary antibody (1:500-1:1000)
Imaging Controls:
Include tam13 knockout strains as negative controls
Use DAPI for nuclear counterstaining
Acquire Z-stack images to capture the entire cell volume
Compare signal distribution with known tam13 localization data
This approach incorporates methodological principles successfully applied to similar antibodies in yeast systems and can be refined based on specific experimental needs .
Using tam13 Antibody for ChIP requires specific optimization strategies:
Cross-linking Protocol:
Test formaldehyde concentrations (0.75-1.5%)
Optimize cross-linking time (5-20 minutes)
Quench with glycine (125 mM final concentration)
Chromatin Preparation:
For S. pombe, use specialized protocols for spheroplasting
Optimize sonication conditions to achieve 200-500 bp fragments
Verify fragmentation by agarose gel electrophoresis
Immunoprecipitation:
Pre-clear chromatin with protein A/G beads
Use 2-10 μg tam13 Antibody per reaction
Include IgG control and input samples
Incubate overnight at 4°C with rotation
Washing and Elution:
Use increasingly stringent wash buffers
Elute protein-DNA complexes with SDS buffer
Reverse cross-links (65°C, 6-12 hours)
Purify DNA for downstream analysis
Validation Analysis:
Perform qPCR for suspected binding regions
Compare enrichment to input and IgG controls
Verify specificity using tam13 knockout controls
Similar approaches have been successfully employed with antibodies targeting TAM family proteins in other contexts, suggesting this methodology could be adapted for tam13 in appropriate experimental systems .
Rigorous quantification of Western blot data requires methodological precision:
Experimental Design for Quantification:
Include calibration standards (recombinant tam13 protein)
Use technical and biological replicates (minimum n=3)
Include proper loading controls (housekeeping proteins)
Image Acquisition Parameters:
Capture images within linear dynamic range
Avoid pixel saturation (check histogram)
Maintain consistent exposure settings across samples
Consider using fluorescent secondary antibodies for wider linear range
Densitometry Analysis:
Use specialized software (ImageJ, Image Lab)
Define analysis regions consistently
Subtract local background for each lane
Normalize to loading controls or total protein
Statistical Analysis:
Apply appropriate statistical tests based on experimental design
Report both means and measures of variability (SD or SEM)
Use non-parametric tests for non-normally distributed data
Apply correction for multiple comparisons when appropriate
These quantitative approaches ensure reliable data interpretation and have been successfully applied in studies using antibodies against similar target proteins .
Interpreting variations in tam13 protein expression requires methodological considerations:
Normalization Strategies:
Normalize to multiple housekeeping proteins, not just one
Consider total protein normalization using stain-free technology
Validate stability of reference proteins under your experimental conditions
Biological Context:
Compare expression changes with mRNA levels when possible
Consider post-translational modifications affecting antibody recognition
Evaluate protein half-life and turnover rates in your system
Statistical Analysis:
Establish thresholds for biological significance beyond statistical significance
Consider power analysis to determine appropriate sample sizes
Use fold-change rather than absolute values for comparisons
Validation Approaches:
Confirm key findings with alternative detection methods
Perform time-course experiments to capture dynamic changes
Correlate protein levels with functional outcomes
Similar analytical approaches have been employed in studies examining expression of TAM family proteins across different experimental conditions, providing a methodological framework that can be applied to tam13 .
Integrating tam13 Antibody into multi-omics research requires coordinated experimental design:
Sample Preparation Coordination:
Develop protocols allowing parallel extraction of protein, RNA, and DNA
Use consistent growth conditions across all analyses
Consider sequential extraction methods for limited samples
Integration with Transcriptomics:
Correlate tam13 protein levels with mRNA expression
Design time-course experiments to capture regulatory dynamics
Compare wild-type with genetically modified strains
Integration with Proteomics:
Use tam13 Antibody for immunoprecipitation coupled with mass spectrometry
Identify interaction partners under different conditions
Compare post-translational modifications with protein function
Integration with Genomics:
Use ChIP-seq to identify tam13 binding sites if applicable
Correlate binding with gene expression changes
Analyze effects of genetic variants on tam13 function
Data Integration Framework:
Apply computational approaches to integrate multi-omics datasets
Use network analysis to identify functional relationships
Develop predictive models of tam13 function in cellular processes
Similar integrative approaches have been successfully applied with antibodies targeting other proteins, particularly in the TAM receptor family, demonstrating the value of multi-omics integration .
Emerging technologies offer new opportunities for tam13 Antibody applications:
Advanced Imaging Technologies:
Super-resolution microscopy for precise localization
Live-cell imaging with antibody fragments
Expansion microscopy for enhanced spatial resolution
Correlative light and electron microscopy
Single-Cell Analysis:
Mass cytometry (CyTOF) for high-parameter protein analysis
Microfluidic antibody capture for single-cell proteomics
Spatial transcriptomics combined with protein detection
Proximity Labeling Technologies:
Antibody-directed enzyme-mediated proximity labeling
Identification of proximal proteins in native cellular contexts
Mapping protein microenvironments
Synthetic Biology Applications:
Antibody-directed protein degradation systems
Optogenetic control of antibody-based detection
Creation of biosensors using antibody fragments
AI-Enhanced Antibody Applications:
Machine learning for epitope prediction and optimization
Automated image analysis for complex phenotyping
Structure prediction for antibody-antigen interactions
Recent advances in AI-based antibody design demonstrate how computational approaches can enhance antibody development and application, a principle that could be extended to tam13 Antibody research .