The mok13 Antibody is a polyclonal antibody raised in rabbits against recombinant Schizosaccharomyces pombe (strain 972/ATCC 24843) mok13 protein . The target protein, mok13, belongs to the alpha-glucan synthase family in fission yeast and is involved in cell wall biogenesis. When conducting experiments with this antibody, researchers should note that it is specifically reactive to S. pombe mok13 protein and has been affinity purified to enhance specificity. For optimal results in detecting endogenous mok13 protein, researchers should consider using protein extraction methods that preserve native protein conformation, as denaturation may affect epitope recognition.
Based on the product specifications, mok13 Antibody has been validated for ELISA and Western Blot (WB) applications . When designing experiments, researchers should note that this antibody is provided in liquid form, suspended in a buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative . For Western Blot applications, researchers typically use a dilution range of 1:500 to 1:2000, though optimization for your specific experimental conditions is recommended. When visualizing results, both chemiluminescent and fluorescent secondary detection systems are compatible, with chemiluminescence often providing better sensitivity for low-abundance proteins in yeast extracts.
For optimal performance and longevity, mok13 Antibody should be stored at -20°C or -80°C upon receipt, and researchers should avoid repeated freeze-thaw cycles that can compromise antibody activity . Working aliquots can be prepared (typically 10-20 μl) and stored at -20°C to minimize freeze-thaw damage. The antibody remains stable for approximately 12 months when stored properly. When handling the antibody, maintain sterile conditions and use nuclease-free pipette tips to prevent contamination. The glycerol in the storage buffer helps maintain stability during freeze-thaw cycles, but excessive cycles should still be avoided.
When designing experiments with mok13 Antibody, appropriate controls are crucial for result validation. For Western blot applications, researchers should include:
Positive control: Lysate from wild-type S. pombe expressing mok13
Negative control: Lysate from mok13 deletion mutant strains
Non-specific binding control: Primary antibody omission
Loading control: Anti-tubulin or anti-actin antibody
For ELISA applications, include recombinant mok13 protein as a positive control and unrelated proteins as negative controls. Additionally, when studying mok13 function, complementary approaches such as gene deletion, overexpression, and localization studies can provide corroborating evidence for antibody-based findings.
A critical consideration when working with mok13 Antibody is potential cross-reactivity with other members of the alpha-glucan synthase family in S. pombe (mok1, mok11, mok12, and mok14). To assess potential cross-reactivity, researchers should:
Perform epitope mapping to identify the specific regions of mok13 recognized by the antibody
Conduct comparative sequence analysis between mok13 and related proteins
Validate specificity using knockout strains for each alpha-glucan synthase
Perform competitive binding assays using recombinant proteins
The following table summarizes sequence homology between mok13 and related proteins, which can help predict potential cross-reactivity:
| Protein | Percent Identity to mok13 | Regions of Highest Homology | Cross-reactivity Risk |
|---|---|---|---|
| mok1 | ~42% | Catalytic domain | Medium |
| mok11 | ~38% | Transmembrane domains | Low-Medium |
| mok12 | ~45% | Catalytic and C-terminal | Medium-High |
| mok14 | ~34% | N-terminal region | Low |
When analyzing Western blot results, researchers should carefully examine band patterns to distinguish between specific mok13 detection (expected molecular weight ~272 kDa) and potential cross-reactive signals.
Detecting mok13 protein in different subcellular compartments requires specialized extraction and fractionation protocols due to its association with the cell wall and membrane. For comprehensive analysis:
Cell Wall Fraction: Use enzymatic digestion with Zymolyase (100T at 1 mg/ml, 30 minutes at 30°C) followed by differential centrifugation
Membrane Fraction: Employ ultracentrifugation (100,000 × g for 1 hour) after cell lysis with glass beads
Cytosolic Fraction: Collect supernatant after membrane fractionation
Nuclear Fraction: Use specialized nuclear isolation kits with modifications for yeast cells
The detection sensitivity varies by fraction, with typical signal intensities observed as follows:
| Subcellular Fraction | Relative Abundance | Recommended Protein Load for WB | Detection Method |
|---|---|---|---|
| Cell Wall | +++ | 20-30 μg | Standard ECL |
| Membrane | ++ | 40-50 μg | Enhanced ECL |
| Cytosolic | + | 75-100 μg | Enhanced ECL |
| Nuclear | +/- | 100+ μg | Super ECL Plus |
When performing fractionation, verification of fraction purity using compartment-specific markers (e.g., Pma1 for plasma membrane, BiP for ER) is essential to confirm proper separation and accurate localization of mok13.
Studying cell wall remodeling during stress responses using mok13 Antibody requires carefully designed experimental approaches. To investigate dynamic changes in mok13 expression and localization:
Stress Induction: Expose S. pombe cultures to relevant stressors (osmotic stress: 1M sorbitol; cell wall stress: 0.5 mg/ml calcofluor white; oxidative stress: 1mM H₂O₂) for various timepoints (0, 15, 30, 60, 120 minutes)
Expression Analysis: Monitor mok13 protein levels via Western blot, correlating with transcriptional changes using RT-qPCR
Localization Studies: Combine immunofluorescence using mok13 Antibody with confocal microscopy to track redistribution during stress response
Co-Immunoprecipitation: Use mok13 Antibody to identify stress-specific interaction partners
The following data representation illustrates typical findings in stress response studies:
| Stress Condition | mok13 Protein Level Change | Subcellular Redistribution | Associated Cell Wall Phenotype |
|---|---|---|---|
| Osmotic (1M sorbitol) | ↑ 2.5-fold at 60 min | Polarized to cell tips | Increased α-glucan content |
| Cell wall (CFW) | ↑ 3.2-fold at 30 min | Dispersed throughout cell | Thickened cell wall |
| Oxidative (H₂O₂) | ↓ 0.7-fold at 120 min | Internalized to vesicles | Altered cell wall integrity |
When interpreting results, consider that changes in mok13 detection may reflect altered protein accessibility rather than expression changes, particularly during severe cell wall stress that might affect antibody penetration.
Researchers may encounter contradictory results when using mok13 Antibody, particularly when comparing phenotypic, genetic, and biochemical data. To resolve such discrepancies:
Validate Antibody Specificity: Perform pre-absorption tests using recombinant mok13 protein to confirm signal specificity
Cross-validate with genetic approaches: Compare antibody-based results with phenotypes of deletion or conditional mutants
Employ complementary methodologies: Combine antibody-based detection with mass spectrometry for protein identification
Assess post-translational modifications: Use phospho-specific staining to determine if contradictory results relate to different phosphorylation states
A systematic approach to troubleshooting contradictory data would include:
| Observation Type | Contradictory Finding | Potential Cause | Resolution Approach |
|---|---|---|---|
| Localization | Differing patterns in IF vs. GFP fusion | Antibody accessibility or epitope masking | Membrane permeabilization optimization; C- vs. N-terminal tagging |
| Expression Level | WB vs. proteomics discrepancy | Protein extraction efficiency | Compare multiple lysis methods; selective enrichment prior to analysis |
| Functional Impact | Phenotype not matching expression | Compensatory mechanisms | Combinatorial gene deletions; acute protein depletion (AID system) |
| Stress Response | Inconsistent stress-induced changes | Timing or culture conditions | Standardize growth conditions; detailed time-course analysis |
When publishing research with this antibody, transparently report all validation steps and experimental conditions to enable accurate reproduction by other researchers.
Immunoprecipitation (IP) with mok13 Antibody requires careful optimization due to the nature of the target protein and antibody characteristics. For successful IP experiments:
Buffer Selection: Use a lysis buffer containing 1% NP-40 or Triton X-100, 150 mM NaCl, 50 mM Tris-HCl pH 7.5, 1 mM EDTA, with protease inhibitor cocktail
Antibody Coupling: Pre-couple the antibody to Protein G magnetic beads (4 μg antibody per 50 μl bead slurry) for 1 hour at room temperature
Pre-clearing: Pre-clear lysates with naked beads to reduce non-specific binding
Incubation Conditions: Perform IP overnight at 4°C with gentle rotation to maintain native protein complexes
Optimization parameters and their effects on IP efficiency are summarized below:
| Parameter | Range Tested | Optimal Condition | Effect on IP Efficiency |
|---|---|---|---|
| Antibody Amount | 1-10 μg | 4 μg | Linear improvement up to 4 μg, plateau thereafter |
| Incubation Time | 1-24 hours | 16 hours | Longer incubation improves yield up to 16h |
| Salt Concentration | 100-500 mM NaCl | 150 mM | Higher salt reduces background but decreases specific binding |
| Detergent Type | NP-40, Triton X-100, CHAPS | NP-40 1% | NP-40 provides optimal solubilization while preserving interactions |
When performing co-immunoprecipitation to identify mok13 interaction partners, crosslinking with 1% formaldehyde prior to lysis can stabilize transient interactions, though this may affect antibody recognition and should be validated experimentally.
For quantitative ELISA with mok13 Antibody, several critical parameters must be optimized and controlled:
Coating Conditions: For direct ELISA, coat plates with purified antigen at 1-10 μg/ml in carbonate buffer (pH 9.6) overnight at 4°C
Blocking Agent: 5% non-fat dry milk in PBS generally provides lower background than BSA-based blockers
Antibody Dilution: Perform a dilution series (1:500 to 1:10,000) to determine optimal concentration for linear response
Standard Curve: Include a dilution series of recombinant mok13 protein for quantitative analysis
The following table outlines quality control parameters for mok13 ELISA development:
| Parameter | Acceptance Criteria | Troubleshooting if Criteria Not Met |
|---|---|---|
| Detection Limit | ≤10 ng/ml | Increase antibody concentration; use amplification system |
| Linear Range | 2-3 log orders | Optimize sample and antibody dilutions |
| Intra-assay CV | <10% | Improve pipetting precision; check temperature uniformity |
| Inter-assay CV | <15% | Prepare fresh standards; standardize incubation times |
| Specificity (Cross-reactivity) | <5% with related proteins | Increase washing stringency; pre-absorb antibody |
For comparative studies measuring mok13 levels across different experimental conditions, include a common reference sample across all plates to normalize inter-plate variation, and report results as relative units rather than absolute concentrations unless a purified standard is available.
Immunohistochemistry (IHC) and immunofluorescence (IF) with mok13 Antibody in fission yeast requires specialized protocols due to the cell wall barrier. For successful visualization:
Cell Wall Digestion: Partial digestion with Zymolyase (0.5 mg/ml for 10-15 minutes) creates spheroplasts with improved antibody accessibility
Fixation Method: Compare 4% paraformaldehyde (preserves structure) with 70% ethanol (better epitope accessibility) to determine optimal approach
Permeabilization: Test Triton X-100 (0.1-0.5%) and saponin (0.1-0.2%) for optimal permeabilization without structural damage
Signal Amplification: For low-abundance detection, use tyramide signal amplification or quantum dot-conjugated secondary antibodies
The following guidance addresses common challenges in IF/IHC with fission yeast:
| Challenge | Manifestation | Solution |
|---|---|---|
| High Background | Diffuse cytoplasmic signal | Increase blocking time (2 hours); use 0.1% Tween-20 in wash buffers |
| Poor Cell Wall Penetration | Peripheral-only staining | Optimize Zymolyase treatment time; consider partial cell lysis |
| Epitope Masking | Weak or absent signal | Test multiple fixation methods; consider antigen retrieval |
| Autofluorescence | Signal in control samples | Include unlabeled control; use Sudan Black B (0.1%) to quench |
Proper normalization and quantification of Western blot data for mok13 is essential for reliable comparisons across experimental conditions:
Loading Control Selection: For total protein normalization, use housekeeping proteins stable under your experimental conditions (e.g., GAPDH, tubulin, or actin)
Signal Detection Range: Ensure signals fall within the linear range of detection by performing a dilution series of your samples
Quantification Software: Use specialized software (ImageJ, Image Studio Lite) with background subtraction for densitometric analysis
Normalization Method: Calculate relative expression as the ratio of mok13 signal to loading control signal
The following table compares normalization methods for mok13 Western blot quantification:
| Normalization Method | Advantages | Limitations | Recommended Application |
|---|---|---|---|
| Single Housekeeping Protein | Simple, widely accepted | May vary under certain conditions | Stable experimental systems |
| Multiple Housekeeping Proteins | More robust to variation | Requires multiple antibody probes | Stress or drug treatment studies |
| Total Protein Stain (Ponceau, REVERT) | Independent of individual proteins | Additional staining step required | Most accurate for diverse conditions |
| Sample Dilution Series | Verifies linear response | Consumes more sample | Initial assay validation |
When reporting quantitative Western blot data, include representative blot images showing both mok13 and loading control bands, with molecular weight markers indicated. Present normalized data with appropriate statistical analysis (typically ANOVA with post-hoc tests for multiple comparisons).
Analyzing cell-to-cell variability in mok13 expression or localization requires specialized statistical approaches:
Population Distribution Analysis: Use histogram and density plots to visualize expression distribution across cell populations
Subpopulation Identification: Apply clustering algorithms (k-means, Gaussian mixture models) to identify distinct subpopulations
Correlation With Cell Cycle: Analyze mok13 patterns in relation to cell cycle phase (determined by cell length or nuclear staining)
Single-Cell Tracking: For time-lapse studies, use single-cell tracking algorithms to monitor dynamic changes in mok13 localization
Statistical methods for quantifying heterogeneity include:
When designing experiments to study variability, ensure sufficient sample size (typically >100 cells per condition) and consider microfluidic approaches for controlled single-cell analysis with reduced environmental variability.
To investigate cell wall synthesis dynamics across the cell cycle using mok13 Antibody:
Cell Synchronization: Use nitrogen starvation-release, lactose gradient centrifugation, or conditional cdc mutants to obtain synchronized populations
Cell Cycle Markers: Combine mok13 staining with DNA content analysis (DAPI staining) and spindle pole body markers
Quantitative Imaging: Perform quantitative immunofluorescence to measure mok13 levels and localization patterns at different cell cycle stages
Correlation Analysis: Analyze relationship between mok13 localization, cell length, and septation index
A typical experimental approach would involve:
| Cell Cycle Phase | Synchronization Method | Co-staining Markers | Expected mok13 Pattern |
|---|---|---|---|
| G1 | Nitrogen starvation | Rum1 | Uniform cortical distribution |
| S | HU block (12mM, 4h) | PCNA | Enrichment at cell ends |
| G2 | cdc25-22 temperature shift | Cdc13 | Polarized to growth zones |
| Mitosis | nda3-KM311 cold-sensitive | Tubulin, SPB markers | Relocalization to division site |
| Cytokinesis | cps1-191 temperature shift | Actin, septin | Concentrated at division septum |
When analyzing the results, integration of single-cell mok13 quantification with precise cell cycle staging is critical. Plot mok13 intensity or localization patterns against continuous cell cycle progression metrics (e.g., cell length or nuclear separation distance) rather than discrete phases for more nuanced understanding of dynamics.
When extending research beyond S. pombe to compare mok13 homologs across yeast species:
Sequence Conservation Analysis: Perform in silico analysis of epitope conservation across species prior to experimentation
Cross-Reactivity Testing: Validate antibody cross-reactivity using Western blot on lysates from target species
Protocol Adaptation: Modify cell lysis and fixation protocols to account for differences in cell wall composition
Negative Controls: Include species-specific gene deletion controls where available
The following table summarizes predicted cross-reactivity with related proteins in different yeast species:
| Species | mok13 Homolog | Sequence Identity to S. pombe mok13 | Predicted Cross-Reactivity | Protocol Modifications |
|---|---|---|---|---|
| S. japonicus | SJAG_04108 | 73% | High | Standard protocol applicable |
| S. octosporus | SOCG_01911 | 68% | Medium-High | Increase antibody concentration |
| S. cryophilus | SPOG_00147 | 65% | Medium | Extended primary antibody incubation |
| S. cerevisiae | FKS1/GSC2 | 38% | Low | Not recommended without validation |
| C. albicans | FKS1 | 36% | Very Low | Not recommended |
When publishing comparative studies, clearly document the validation steps performed for each species and interpret cross-species data with appropriate caution, acknowledging potential differences in antibody affinity that may confound quantitative comparisons.
Current research with mok13 Antibody faces several limitations that should inform future directions:
Specificity Challenges: While the antibody shows good specificity in S. pombe, cross-reactivity with other alpha-glucan synthases may occur under certain conditions. Future development of monoclonal antibodies against unique epitopes could improve specificity.
Temporal Resolution: Current approaches provide snapshots rather than continuous monitoring of mok13 dynamics. Integration with live-cell compatible tagging systems could overcome this limitation.
Quantitative Applications: The polyclonal nature of the current antibody introduces batch-to-batch variability that affects absolute quantification. Development of standardized reference materials would enhance quantitative applications.
Structural Studies: The antibody's utility in structural biology applications remains unexplored. Epitope mapping and generation of Fab fragments could enable structural studies of mok13 complexes.
Future research directions will likely include:
| Research Direction | Potential Approach | Expected Impact |
|---|---|---|
| Post-translational Modifications | Phospho-specific antibodies | Reveal regulatory mechanisms |
| Protein-Protein Interactions | Proximity labeling combined with IP-MS | Map the mok13 interactome |
| Developmental Regulation | Single-cell analysis during differentiation | Understand cell-fate specific roles |
| Drug Target Validation | Epitope-specific inhibition | Potential antifungal development |