mok13 Antibody

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Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
mok13 antibody; SPBC16D10.05 antibody; Cell wall alpha-1,3-glucan synthase mok13 antibody; EC 2.4.1.183 antibody
Target Names
mok13
Uniprot No.

Q&A

What is mok13 Antibody and what is its target protein?

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.

What applications is mok13 Antibody validated for?

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.

How should mok13 Antibody be stored and handled?

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.

What controls should be used when working with mok13 Antibody?

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.

How can cross-reactivity with other alpha-glucan synthases be assessed when using mok13 Antibody?

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:

ProteinPercent Identity to mok13Regions of Highest HomologyCross-reactivity Risk
mok1~42%Catalytic domainMedium
mok11~38%Transmembrane domainsLow-Medium
mok12~45%Catalytic and C-terminalMedium-High
mok14~34%N-terminal regionLow

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.

What are the optimal protocols for detecting mok13 protein in various subcellular fractions?

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 FractionRelative AbundanceRecommended Protein Load for WBDetection Method
Cell Wall+++20-30 μgStandard ECL
Membrane++40-50 μgEnhanced ECL
Cytosolic+75-100 μgEnhanced ECL
Nuclear+/-100+ μgSuper 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.

How can mok13 Antibody be used to study cell wall remodeling during stress response in S. pombe?

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 Conditionmok13 Protein Level ChangeSubcellular RedistributionAssociated Cell Wall Phenotype
Osmotic (1M sorbitol)↑ 2.5-fold at 60 minPolarized to cell tipsIncreased α-glucan content
Cell wall (CFW)↑ 3.2-fold at 30 minDispersed throughout cellThickened cell wall
Oxidative (H₂O₂)↓ 0.7-fold at 120 minInternalized to vesiclesAltered 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.

What approaches can resolve contradictory data when using mok13 Antibody for functional studies?

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 TypeContradictory FindingPotential CauseResolution Approach
LocalizationDiffering patterns in IF vs. GFP fusionAntibody accessibility or epitope maskingMembrane permeabilization optimization; C- vs. N-terminal tagging
Expression LevelWB vs. proteomics discrepancyProtein extraction efficiencyCompare multiple lysis methods; selective enrichment prior to analysis
Functional ImpactPhenotype not matching expressionCompensatory mechanismsCombinatorial gene deletions; acute protein depletion (AID system)
Stress ResponseInconsistent stress-induced changesTiming or culture conditionsStandardize 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.

How should immunoprecipitation protocols be optimized for mok13 Antibody?

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:

ParameterRange TestedOptimal ConditionEffect on IP Efficiency
Antibody Amount1-10 μg4 μgLinear improvement up to 4 μg, plateau thereafter
Incubation Time1-24 hours16 hoursLonger incubation improves yield up to 16h
Salt Concentration100-500 mM NaCl150 mMHigher salt reduces background but decreases specific binding
Detergent TypeNP-40, Triton X-100, CHAPSNP-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.

What are the critical parameters for quantitative analysis using mok13 Antibody in ELISA?

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:

ParameterAcceptance CriteriaTroubleshooting if Criteria Not Met
Detection Limit≤10 ng/mlIncrease antibody concentration; use amplification system
Linear Range2-3 log ordersOptimize 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 proteinsIncrease 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.

How can immunohistochemistry/immunofluorescence with mok13 Antibody be optimized for fission yeast?

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:

ChallengeManifestationSolution
High BackgroundDiffuse cytoplasmic signalIncrease blocking time (2 hours); use 0.1% Tween-20 in wash buffers
Poor Cell Wall PenetrationPeripheral-only stainingOptimize Zymolyase treatment time; consider partial cell lysis
Epitope MaskingWeak or absent signalTest multiple fixation methods; consider antigen retrieval
AutofluorescenceSignal in control samplesInclude unlabeled control; use Sudan Black B (0.1%) to quench

How should researchers normalize and quantify Western blot data for mok13 detection?

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 MethodAdvantagesLimitationsRecommended Application
Single Housekeeping ProteinSimple, widely acceptedMay vary under certain conditionsStable experimental systems
Multiple Housekeeping ProteinsMore robust to variationRequires multiple antibody probesStress or drug treatment studies
Total Protein Stain (Ponceau, REVERT)Independent of individual proteinsAdditional staining step requiredMost accurate for diverse conditions
Sample Dilution SeriesVerifies linear responseConsumes more sampleInitial 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).

What statistical approaches are appropriate for analyzing cell-to-cell variability in mok13 expression patterns?

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.

How can mok13 Antibody be used to investigate cell wall synthesis during specific cell cycle phases?

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 PhaseSynchronization MethodCo-staining MarkersExpected mok13 Pattern
G1Nitrogen starvationRum1Uniform cortical distribution
SHU block (12mM, 4h)PCNAEnrichment at cell ends
G2cdc25-22 temperature shiftCdc13Polarized to growth zones
Mitosisnda3-KM311 cold-sensitiveTubulin, SPB markersRelocalization to division site
Cytokinesiscps1-191 temperature shiftActin, septinConcentrated 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.

What considerations are important when using mok13 Antibody for comparative studies across different yeast species?

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:

Speciesmok13 HomologSequence Identity to S. pombe mok13Predicted Cross-ReactivityProtocol Modifications
S. japonicusSJAG_0410873%HighStandard protocol applicable
S. octosporusSOCG_0191168%Medium-HighIncrease antibody concentration
S. cryophilusSPOG_0014765%MediumExtended primary antibody incubation
S. cerevisiaeFKS1/GSC238%LowNot recommended without validation
C. albicansFKS136%Very LowNot 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.

What are the current limitations and future directions for research using mok13 Antibody?

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 DirectionPotential ApproachExpected Impact
Post-translational ModificationsPhospho-specific antibodiesReveal regulatory mechanisms
Protein-Protein InteractionsProximity labeling combined with IP-MSMap the mok13 interactome
Developmental RegulationSingle-cell analysis during differentiationUnderstand cell-fate specific roles
Drug Target ValidationEpitope-specific inhibitionPotential antifungal development

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