Ta60a and Ta60b are IgG1 subclass antibodies derived from mice immunized with MT-2 cells (adult T-cell leukemia model) .
Epitope Target: Both antibodies bind to the Tac antigen (IL-2 receptor), a 60 kDa transmembrane glycoprotein expressed on activated T cells and certain hematopoietic tumor cells .
Cross-reactivity: Ta60a and Ta60b recognize distinct epitopes on the IL-2 receptor. Ta60a competes with Tac antibody for binding, while Ta60b does not, indicating non-overlapping epitopes .
| Characteristic | Ta60a | Ta60b |
|---|---|---|
| Isotype | IgG1 | IgG1 |
| Epitope | Tac antigen (IL-2R) | Tac antigen (IL-2R) |
| Blocking Activity | Inhibits T cell proliferation | Minimal blocking effect |
| Reactivity | Activated T cells, ATL | Adult T-cell leukemia, myeloid leukemias, B-cell lymphomas |
Hematological Malignancies: Ta60b reacts with 100% of adult T-cell leukemia (ATL) cases but not T-cell acute lymphoblastic leukemia (T-ALL) or mature T-cell lymphoma .
Cross-reactivity: Partial reactivity observed in 3/12 acute myeloblastic leukemia (AML) and 2/5 chronic myelocytic leukemia (CML) in blastic crisis .
Diagnostic Potential: Suggested for typing hematopoietic tumors, though specificity requires validation with absorption tests .
Immunoprecipitation: Both antibodies co-precipitate a 60 kDa protein from [3H]-glucosamine-labeled activated lymphocytes, confirming IL-2 receptor binding .
Therapeutic Efficacy: Ta60a, but not Ta60b, inhibits interleukin-2-dependent cell line proliferation in vitro .
T Cell Activation: F23.1, a murine monoclonal antibody targeting T cell receptor allotypes, induces proliferation in allotype-positive T cells .
KEGG: spo:SPBC28E12.02
STRING: 4896.SPBC28E12.02.1
mug60 Antibody is a polyclonal antibody raised in rabbits against the recombinant mug60 protein from Schizosaccharomyces pombe (strain 972/ATCC 24843), commonly known as fission yeast . This antibody specifically targets the mug60 protein (UniProt accession number O74359), which is encoded by the mug60 gene in S. pombe . Unlike antibodies targeting human or mammalian proteins, this antibody is specifically designed for research involving fission yeast, a model organism widely used in molecular and cellular biology studies.
The mug60 Antibody has been validated for specific laboratory applications including:
These validated applications ensure reliable protein detection in appropriate experimental contexts. Researchers should note that antibody characterization is essential for research reproducibility, as highlighted by recent collaborative efforts between academic and industry scientists to standardize antibody validation processes .
To maintain optimal reactivity and specificity, mug60 Antibody should be stored at either -20°C or -80°C upon receipt . Researchers should avoid repeated freeze-thaw cycles as this can degrade antibody quality and compromise experimental results. The antibody is provided in a storage buffer containing 0.03% Proclin 300 as a preservative, with 50% glycerol and 0.01M PBS at pH 7.4 as constituents . This formulation helps maintain antibody stability during storage.
| Characteristic | Specification |
|---|---|
| Product Code | CSB-PA524846XA01SXV |
| Raised In | Rabbit |
| Species Reactivity | Schizosaccharomyces pombe (strain 972/ATCC 24843) |
| Form | Liquid |
| Conjugate | Non-conjugated |
| Purification Method | Antigen Affinity Purified |
| Isotype | IgG |
| Clonality | Polyclonal |
| Storage Buffer | 0.03% Proclin 300, 50% Glycerol, 0.01M PBS (pH 7.4) |
| Lead Time | Made-to-order (14-16 weeks) |
For optimal results when using mug60 Antibody in Western Blot applications, follow these methodological steps:
Harvest S. pombe cells during the appropriate growth phase for your experiment
Lyse cells using a buffer compatible with yeast cell walls (containing glass beads or enzymatic treatment)
Clarify lysates by centrifugation (typically 12,000-15,000 g for 10-15 minutes)
Quantify protein concentration using Bradford or BCA assay
Denature proteins using standard SDS sample buffer containing a reducing agent
Load 20-50 μg of total protein per lane
Separate proteins using SDS-PAGE (10-12% gels are typically suitable)
Transfer proteins to a PVDF or nitrocellulose membrane
Block the membrane with appropriate blocking buffer (typically 5% non-fat dry milk or BSA)
Incubate with properly diluted mug60 Antibody (optimization may be required)
This approach aligns with standard practices for antibody characterization as discussed in recent reproducibility initiatives .
Validating antibody specificity is crucial for reliable results and research reproducibility. For mug60 Antibody, consider implementing these validation strategies:
Knockout validation: Generate or obtain a mug60 knockout S. pombe strain to serve as a negative control. The absence of signal in knockout samples confirms specificity .
Overexpression validation: Create a strain overexpressing tagged mug60 protein and confirm signal enhancement.
Peptide competition assay: Pre-incubate the antibody with excess purified mug60 protein or peptide before application to your samples. Specific binding should be blocked.
Multiple detection methods: Compare results across different techniques (Western blot, ELISA) to confirm consistent target recognition.
Cross-reactivity testing: Test the antibody against related proteins or in different species to assess potential off-target binding.
This multi-faceted approach aligns with the Open Science platform developed by the Structural Genomics Consortium researchers for antibody characterization, which emphasizes the importance of standardized testing methods to evaluate antibody specificity .
When designing experiments with mug60 Antibody, include these essential controls:
Positive control: Lysate from wild-type S. pombe expressing the mug60 protein
Negative control: One of the following:
Lysate from mug60 knockout S. pombe strain
Lysate from a different yeast species (e.g., S. cerevisiae) lacking homologous proteins
Secondary antibody-only control to assess non-specific binding
Loading control: Detection of a constitutively expressed S. pombe protein (e.g., actin or tubulin) to normalize expression levels
Antibody titration: Testing various antibody dilutions to determine optimal concentration
Isotype control: Using a non-specific rabbit IgG at the same concentration to identify potential background
This control strategy is supported by the approaches used in standardized antibody characterization initiatives aimed at improving research reproducibility .
When encountering signal problems with mug60 Antibody, systematically address potential issues:
Antibody concentration: Optimize primary antibody dilution; try concentrations from 1:500 to 1:5000
Protein expression level: Confirm that mug60 is expressed under your experimental conditions; consider using conditions that upregulate the protein
Sample preparation: Ensure proper cell lysis and protein extraction; verify protein concentration and integrity
Antigen accessibility: Test different membrane types (PVDF vs. nitrocellulose) and blocking reagents (milk vs. BSA)
Detection system sensitivity: Use enhanced chemiluminescence (ECL) or fluorescent secondary antibodies for improved detection
Epitope denaturation: If the antibody recognizes a conformational epitope, adjust denaturing conditions or consider native conditions
Storage and handling: Verify the antibody hasn't degraded due to improper storage or excessive freeze-thaw cycles
This troubleshooting approach is consistent with best practices for antibody characterization established by collaborative initiatives between academic and industry scientists .
While the manufacturer has not specifically validated mug60 Antibody for immunoprecipitation (IP), polyclonal antibodies like this one are often suitable for IP applications due to their recognition of multiple epitopes on the target protein. To adapt this antibody for IP:
Preliminary testing: Perform a pilot IP experiment with proper controls to assess efficacy
Antibody coupling: Consider coupling the antibody to protein A/G beads or magnetic beads to improve pull-down efficiency
Lysis conditions: Use non-denaturing lysis buffers to preserve native protein conformation and interactions
Cross-linking consideration: For transient interactions, consider using cross-linking reagents before cell lysis
Elution optimization: Test different elution conditions to maximize recovery while minimizing antibody contamination
This experimental approach is based on general principles of immunoprecipitation with polyclonal antibodies, though researchers should be aware that additional validation may be necessary as this specific application is not listed among the manufacturer's validated uses .
For reliable quantification of Western Blot results using mug60 Antibody:
Linear dynamic range: Determine the linear range of detection for both mug60 and your loading control proteins
Multiple biological replicates: Perform at least three independent experiments to account for biological variability
Technical replicates: Include technical replicates within each experiment to assess method reproducibility
Normalization strategy: Normalize mug60 signal to a suitable housekeeping protein expressed at similar levels
Image acquisition: Use a digital imaging system rather than film for more accurate quantification
Software analysis: Utilize specialized software (e.g., ImageJ with Western Blot plugins) for densitometry
Statistical analysis: Apply appropriate statistical tests to determine significance of observed differences
Data reporting: Include raw data, normalization methods, and statistical analyses when publishing results
This quantification approach aligns with current best practices for improving research reproducibility in antibody-based studies .
The mug60 Antibody is a polyclonal antibody, which offers distinct advantages and limitations compared to monoclonal antibodies:
Advantages of the polyclonal mug60 Antibody:
Recognition of multiple epitopes, potentially increasing detection sensitivity
Greater tolerance to minor changes in the target protein (denaturation, slight modifications)
Usually works across multiple applications due to diverse epitope recognition
Limitations compared to potential monoclonal alternatives:
Batch-to-batch variation may require revalidation
May have higher background or cross-reactivity
Less specific for distinguishing between closely related proteins
While monoclonal antibodies offer advantages in specificity and consistency, polyclonal antibodies like mug60 Antibody provide robust detection across various experimental conditions. This comparison is supported by general antibody technology principles as seen in various antibody development studies .
When studying mug60 protein function using this antibody:
Physiological context: Consider the natural expression patterns and cellular localization of mug60 in S. pombe
Experimental conditions: Test different growth conditions that might affect mug60 expression or function
Protein interactions: Consider combining antibody detection with techniques to identify binding partners (co-IP, proximity labeling)
Genetic approaches: Complement antibody studies with genetic manipulation (deletion, mutation, overexpression)
Cellular assays: Design functional assays relevant to the predicted role of mug60
Post-translational modifications: Investigate potential modifications using phospho-specific antibodies or mass spectrometry
Temporal dynamics: Examine expression and localization changes during different cell cycle stages or stress responses
Comparative analysis: Consider evolutionary conservation by examining homologs in related species
These experimental design considerations align with comprehensive approaches used in antibody-based research for protein characterization, as highlighted in various studies on research reproducibility .
Finding the optimal working dilution requires systematic titration:
Initial range testing: Begin with the manufacturer's recommended dilution range for your application (if provided)
Systematic titration: Test a series of dilutions (e.g., 1:500, 1:1000, 1:2000, 1:5000) using the same sample
Signal-to-noise assessment: Evaluate both specific signal intensity and background for each dilution
Positive and negative controls: Include appropriate controls at each dilution to confirm specificity
Quantitative analysis: Plot signal-to-noise ratio against antibody dilution to identify the optimal working concentration
Application-specific considerations:
For Western blots: Consider extending incubation time for more dilute antibody solutions
For ELISA: Optimize both coating concentrations and detection antibody dilutions
Documentation: Record optimal conditions in your laboratory protocols for reproducibility
This methodical approach to antibody dilution optimization is a fundamental aspect of experimental reproducibility in antibody-based research .
To minimize background and increase signal specificity:
Blocking optimization: Test different blocking agents (BSA, casein, non-fat dry milk) at various concentrations
Buffer modifications: Add detergents (0.05-0.1% Tween-20) to reduce hydrophobic interactions
Salt concentration: Increase salt concentration (150-500 mM NaCl) to reduce ionic interactions
Pre-absorption: Pre-incubate the antibody with lysate from organisms lacking the target protein
Secondary antibody selection: Use highly cross-adsorbed secondary antibodies to reduce cross-species reactivity
Incubation conditions: Optimize temperature and duration of antibody incubations
Washing protocol: Increase number and duration of washes between antibody incubations
Sample preparation: Ensure thorough removal of cellular debris through proper centrifugation steps
These optimization strategies are based on established principles for improving specificity in antibody-based detection methods, contributing to research reproducibility .
Integrating mug60 Antibody into multi-omics research requires thoughtful experimental design:
Proteomics integration:
Use mug60 Antibody for immunoprecipitation followed by mass spectrometry to identify interaction partners
Combine with phospho-proteomics to understand signaling contexts
Transcriptomics correlation:
Correlate mug60 protein levels (detected by the antibody) with mRNA expression data
Investigate post-transcriptional regulation mechanisms
Functional genomics:
Use CRISPR/Cas9 editing of mug60 gene coupled with antibody detection of the altered protein
Complement with phenotypic assays to link molecular changes to cellular functions
Structural biology:
Validate structural predictions with antibody epitope mapping
Use antibody to confirm protein conformational states
Systems biology:
Place mug60 in protein interaction networks using antibody-based assays
Model pathway influences using quantitative antibody data
This integrated approach reflects modern research strategies that combine multiple techniques to achieve comprehensive understanding of protein function, as seen in advanced antibody characterization initiatives .
Standardized antibody characterization is crucial for research reproducibility:
Impact of antibody variability: Non-specific antibodies contribute to an estimated $1 billion in wasted research funding annually, highlighting the importance of proper antibody validation .
Validation frameworks: Initiatives like YCharOS (Antibody Characterization through Open Science) demonstrate how standardized characterization can improve reproducibility through knockout validation and application-specific testing .
Multi-application testing: Comprehensive validation across applications (Western blot, immunoprecipitation, immunofluorescence) ensures reliability in different experimental contexts .
Collaboration benefits: The collaboration between academic researchers and antibody manufacturers (representing approximately 80% of global renewable antibody production) shows the value of standardized approaches .
Open science model: Sharing characterization data openly allows researchers to make informed decisions about antibody selection and experimental design .
Implementation strategies:
Document antibody validation methods in publications
Include appropriate controls in all experiments
Share detailed antibody information including catalog numbers and validation data
These principles directly align with the Open Science platform developed by the Structural Genomics Consortium researchers for improving research reproducibility through standardized antibody characterization .