The SPAC13F5.07c Antibody (Product Code: CSB-PA522578XA01SXV) is a rabbit-derived polyclonal antibody designed to detect the SPAC13F5.07c protein in Schizosaccharomyces pombe. This protein, also known as Sup11p, is a zinc finger PARP-type protein critical for β-1,6-glucan synthesis and cell wall integrity in fission yeast .
β-1,6-Glucan Synthesis: SPAC13F5.07c (Sup11p) is essential for synthesizing β-1,6-glucan, a structural polysaccharide critical for fungal cell wall integrity. Knockdown mutants exhibit complete absence of β-1,6-glucan, leading to cell wall defects .
Septum Assembly: Sup11p is required for proper septum formation during cell division. Mutants accumulate aberrant β-1,3-glucan deposits at septa, disrupting cell separation .
O-Mannosylation: Sup11p undergoes O-mannosylation, which masks an unconventional N-X-A glycosylation sequon. In O-mannosylation-deficient strains, this sequon becomes accessible for N-glycosylation .
Transcriptional Regulation: Sup11p knockdown upregulates genes involved in glucan modification (e.g., gst1, SPCC191.09c) and downregulates others like SPAC13F5.07c itself .
Cell Wall Studies: Used to investigate β-1,6-glucan’s role in fungal cell wall architecture .
Protein Localization: Employed in immunofluorescence and Western blotting to track Sup11p expression under stress conditions .
Genetic Screens: Facilitates identification of suppressor genes in S. pombe cell cycle mutants .
KEGG: spo:SPAC13F5.07c
SPAC13F5.07c (UniProt ID: O13706) is a protein found in Schizosaccharomyces pombe (fission yeast), which serves as an important model organism for studying eukaryotic molecular and cellular biology. This protein is of particular interest because S. pombe's cellular processes closely resemble those in higher eukaryotes, making it valuable for understanding conserved mechanisms. When investigating this protein, researchers typically use polyclonal antibodies raised against recombinant SPAC13F5.07c protein to detect its expression, localization, and interactions within cellular networks .
Validation of SPAC13F5.07c antibody specificity involves multiple complementary approaches:
Western blot analysis with positive and negative controls: Testing the antibody against wild-type S. pombe lysates versus SPAC13F5.07c knockout strains
Peptide competition assays: Pre-incubating the antibody with excess immunizing peptide to confirm signal reduction
Cross-reactivity testing: Evaluating potential cross-reactivity with closely related proteins
Immunoprecipitation followed by mass spectrometry: Confirming the identity of captured proteins
Researchers should note that antigen affinity purification methods, as used for this antibody, enhance specificity by removing non-specific antibodies from the polyclonal mixture .
While the SPAC13F5.07c antibody described in the search results is rabbit-derived, this comparison is important for research planning:
| Characteristic | Rabbit Polyclonal | Mouse Monoclonal |
|---|---|---|
| Epitope recognition | Multiple epitopes | Single epitope |
| Production time | Shorter (8-12 weeks) | Longer (4-6 months) |
| Batch-to-batch variability | Higher | Lower |
| Working dilution range | Typically 1:500-1:2000 | Often 1:1000-1:5000 |
| Background in yeast systems | Generally lower | May have higher background |
| Compatibility with anti-mouse secondary reagents | No | Yes |
For SPAC13F5.07c studies, rabbit polyclonals are often preferred due to their robust response to yeast proteins and multiple epitope recognition .
The SPAC13F5.07c polyclonal antibody has been validated for several applications in S. pombe research:
ELISA (Enzyme-Linked Immunosorbent Assay): For quantitative detection of SPAC13F5.07c protein
Western Blot (WB): For detection of denatured SPAC13F5.07c protein from cell lysates
When considering experimental applications, researchers should note that while these are the validated applications, optimization may allow use in additional techniques such as immunoprecipitation or immunofluorescence, though this would require additional validation .
Determining optimal antibody dilutions for SPAC13F5.07c research requires systematic titration:
Western Blot Optimization Protocol:
Prepare a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000)
Run identical protein samples on multiple gel lanes
Process all blots simultaneously with varying antibody concentrations
Assess signal-to-noise ratio quantitatively (using imaging software)
Select the dilution with highest specific signal and lowest background
ELISA Optimization Approach:
Perform checkerboard titration with both coating antigen and antibody dilutions
Calculate signal-to-noise ratios for each combination
Plot sensitivity curves to identify the optimal working range
For SPAC13F5.07c antibody, initial testing should start at manufacturer-recommended dilutions, then adjust based on signal strength and background levels .
When investigating protein-protein interactions involving SPAC13F5.07c, several methodological approaches are effective:
Co-immunoprecipitation (Co-IP):
Lyse cells in non-denaturing buffer (e.g., 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.5% NP-40)
Pre-clear lysate with protein A/G beads
Incubate with SPAC13F5.07c antibody (typically 2-5 μg per mg of protein)
Capture complexes with fresh protein A/G beads
Analyze interacting partners by mass spectrometry or Western blotting
Proximity Ligation Assay (PLA):
Fix S. pombe cells with 4% paraformaldehyde
Permeabilize with 0.1% Triton X-100
Incubate with SPAC13F5.07c antibody and antibody against potential interactor
Apply PLA probes and perform ligation and amplification
Visualize interaction signals by fluorescence microscopy
These techniques must be carefully controlled using non-specific IgG and samples lacking the protein of interest .
Researchers commonly encounter these challenges when using SPAC13F5.07c antibody for Western blotting:
High background: Often caused by insufficient blocking or excessive antibody concentration
Weak signal: May result from low protein expression, inefficient transfer, or suboptimal antibody dilution
Multiple bands: Could indicate protein degradation, post-translational modifications, or non-specific binding
No signal: Potentially due to protein denaturation affecting epitope recognition or improper secondary antibody selection
For the SPAC13F5.07c antibody specifically, using 5% non-fat dry milk in TBST for blocking and ensuring proper storage at -20°C or -80°C can mitigate many of these issues .
Cross-reactivity challenges can be systematically addressed through these methodological approaches:
Pre-adsorption protocol:
Incubate antibody with 5-10× excess of recombinant proteins with sequence similarity
Allow binding for 2 hours at room temperature
Use the pre-adsorbed antibody in your experiment
Compare results with non-adsorbed controls
Sequential immunodepletion:
Immobilize potential cross-reactive proteins on a solid support
Pass SPAC13F5.07c antibody through the column to remove cross-reactive antibodies
Validate specificity of the depleted antibody preparation
Knockout/knockdown validation:
Test antibody reactivity in SPAC13F5.07c deletion strains
Any remaining signal indicates cross-reactivity
When working with yeast systems, additional washing steps (4-5 washes of 10 minutes each) with 0.1% Tween-20 in PBS can significantly reduce non-specific binding .
For detecting low-abundance SPAC13F5.07c protein, consider these methodological enhancements:
Signal amplification strategies:
Use enhanced chemiluminescence (ECL) substrates with femtogram sensitivity
Implement tyramide signal amplification (TSA) for immunodetection
Consider fluorescent secondary antibodies with direct scanning detection
Sample enrichment techniques:
Perform immunoprecipitation before Western blotting
Use subcellular fractionation to concentrate the compartment containing SPAC13F5.07c
Apply TCA precipitation to concentrate proteins from dilute samples
Protocol modifications:
Extend primary antibody incubation to overnight at 4°C
Use protein A-HRP instead of conventional secondary antibodies
Incorporate 0.1% SDS in antibody dilution buffer to enhance accessibility
These approaches have demonstrated 5-10 fold improvement in detection sensitivity in challenging yeast protein detection scenarios .
The SPAC13F5.07c antibody requires specific storage conditions to maintain its activity:
Store at -20°C or -80°C for long-term stability
Avoid repeated freeze-thaw cycles as they can denature antibody proteins
Aliquot the antibody solution into single-use volumes upon receipt
The antibody is supplied in a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative
For working solutions, store at 4°C for up to one week
When handling the antibody, minimize exposure to room temperature and use sterile technique to prevent microbial contamination .
The buffer composition significantly impacts SPAC13F5.07c antibody performance in multiple ways:
| Buffer Component | Concentration | Function | Effect on Performance |
|---|---|---|---|
| Glycerol | 50% | Cryoprotectant | Prevents denaturation during freeze-thaw; dilute to <10% for applications |
| PBS | 0.01M, pH 7.4 | Physiological buffer | Maintains antibody structure; pH shifts can reduce binding affinity |
| Proclin 300 | 0.03% | Preservative | Prevents microbial growth; may interfere with some enzyme assays |
For certain applications, buffer exchange may be necessary:
For enzyme-linked assays sensitive to preservatives, dialyze against preservative-free buffer
For immunoprecipitation, dilute at least 1:10 in IP buffer to reduce glycerol concentration
For mass spectrometry applications, consider antibody purification to remove buffer components that may interfere with analysis .
To monitor SPAC13F5.07c antibody performance over time, implement these quality control procedures:
Reference sample testing:
Maintain aliquots of a characterized positive control sample
Test new and stored antibody lots against this reference monthly
Document band intensity, background levels, and specific/non-specific signal ratio
Quantitative metrics to track:
Signal-to-noise ratio (SNR): Calculate as specific signal intensity divided by background
Minimum detectable concentration (MDC): Determine lowest amount of target producing distinguishable signal
Coefficient of variation (CV): Measure reproducibility across technical replicates
Performance trending:
Create a quality control chart tracking SNR over time
Establish acceptance criteria (e.g., SNR decline <20% from original value)
Define action limits for antibody replacement or re-purification
Implementing these metrics allows for objective assessment of antibody stability and early detection of performance degradation .
Proper quantification of Western blot data using SPAC13F5.07c antibody involves several critical steps:
Image acquisition:
Capture images within linear dynamic range of detection system
Avoid saturated pixels which prevent accurate quantification
Include a dilution series of standards if absolute quantification is needed
Background correction methods:
Use rolling ball algorithm for uneven backgrounds
Employ local background subtraction for each lane
Apply identical correction parameters across all compared blots
Normalization strategies:
Normalize to total protein (Ponceau S or SYPRO Ruby staining)
Use housekeeping proteins appropriate for yeast (e.g., actin, GAPDH)
Verify stability of reference proteins under your experimental conditions
Statistical analysis:
Perform multiple independent experiments (n≥3)
Apply appropriate statistical tests based on data distribution
Report both normalized values and statistical significance
When presenting Western blot data, include both representative images and quantification graphs with error bars .
When SPAC13F5.07c antibody results conflict with other detection methods, systematic reconciliation involves:
Common discrepancy scenarios and resolution approaches:
| Discrepancy Type | Potential Causes | Resolution Strategy |
|---|---|---|
| Western blot vs. mRNA levels | Post-transcriptional regulation | Measure protein half-life; examine translation efficiency |
| Immunofluorescence vs. fractionation | Epitope masking in certain cellular compartments | Use multiple antibodies targeting different epitopes |
| Antibody vs. mass spectrometry | Limited antibody sensitivity or specificity | Immunoprecipitate with antibody then confirm by MS/MS |
Orthogonal validation protocol:
Generate epitope-tagged SPAC13F5.07c constructs
Compare detection by antibody versus anti-tag antibodies
Use CRISPR-engineered strains with endogenous fluorescent tags
Compare microscopy results with antibody-based methods
Benchmarking experiment:
Apply multiple detection methods to the same samples
Establish a detection threshold for each method
Create a correlation matrix to identify method-specific biases
These approaches help distinguish true biological findings from method-specific artifacts .
When conducting protein localization studies with SPAC13F5.07c antibody, several methodological considerations are critical:
Fixation and permeabilization optimization:
Test multiple fixatives (4% paraformaldehyde, methanol, or glutaraldehyde)
Evaluate different permeabilization agents (0.1-0.5% Triton X-100, saponin, or digitonin)
Determine optimal fixation time to preserve structure while maintaining epitope accessibility
Controls for specificity verification:
Include SPAC13F5.07c deletion strains as negative controls
Use competitive blocking with immunizing peptide
Compare localization with fluorescently-tagged SPAC13F5.07c
Co-localization methodology:
Use established organelle markers appropriate for S. pombe
Apply proper statistical analysis (Pearson's correlation, Manders' coefficients)
Implement super-resolution techniques for precise localization
Quantitative assessment:
Measure signal intensity across cellular compartments
Determine percentage of cells showing specific localization patterns
Track potential localization changes under different experimental conditions
These approaches ensure reliable and reproducible localization data while minimizing artifacts common in yeast immunofluorescence studies .
While not listed among validated applications, researchers may adapt SPAC13F5.07c antibody for ChIP studies with these methodological considerations:
Antibody validation for ChIP:
Test epitope accessibility in crosslinked chromatin
Perform pilot ChIP-qPCR experiments with positive and negative genomic regions
Compare efficiency with different crosslinking methods (1% formaldehyde for 10-15 minutes is typical)
Optimization protocol:
Test a range of antibody amounts (2-10 μg per ChIP reaction)
Evaluate various sonication conditions to achieve 200-500 bp fragments
Compare different washing stringencies to maximize signal-to-noise ratio
Data analysis considerations:
Calculate percent input for quantification
Normalize to non-specific IgG control
Use spike-in controls for between-sample normalization
ChIP applications require rigorous controls due to the complex nature of chromatin and potential for non-specific interactions in the nuclear environment .
Integrating SPAC13F5.07c antibody with mass spectrometry enables comprehensive interactome mapping through these methodological approaches:
Immunoprecipitation-Mass Spectrometry (IP-MS) workflow:
Use mild lysis conditions to preserve protein complexes (e.g., 20 mM HEPES pH 7.4, 150 mM NaCl, 0.1% NP-40)
Crosslink antibody to beads to prevent antibody contamination in MS samples
Include stringent controls (IgG pulldowns, knockout strains)
Analyze data with SAINT, CRAPome, or similar statistical tools to filter contaminants
Proximity-dependent labeling integration:
Generate SPAC13F5.07c fusions with BioID or TurboID
Validate fusion protein localization using the antibody
Compare antibody-based interactome with proximity labeling results
Targeted versus discovery approaches:
Use parallel reaction monitoring (PRM) for targeted analysis of suspected interactors
Implement data-independent acquisition (DIA) for unbiased discovery
Create spectral libraries of potential interactors for improved identification
This integrated approach provides both validation of interactions and discovery of novel SPAC13F5.07c-associated proteins .
When deciding between antibody-based detection and CRISPR-based tagging of SPAC13F5.07c, consider these comparative aspects:
| Parameter | SPAC13F5.07c Antibody | CRISPR-based Tagging |
|---|---|---|
| Native protein detection | Detects endogenous unmodified protein | Requires protein modification with tag |
| Spatial resolution | Limited by antibody specificity | Potentially higher with fluorescent tags |
| Temporal analysis | Fixed timepoints only | Possible live-cell imaging |
| Technical complexity | Moderate; dependent on antibody quality | Higher; requires genome editing |
| Post-translational modification detection | Possible with modification-specific antibodies | Limited unless combined with antibodies |
| Required validation | Specificity testing | Verification of normal protein function |
Use CRISPR-tagged strains to validate antibody specificity
Apply antibody-based detection to confirm tag doesn't affect localization
Leverage antibody for biochemical assays and tagged protein for live imaging
Combine approaches to distinguish between protein isoforms or modifications
This complementary strategy leverages strengths of both approaches while mitigating their respective limitations .
While the available SPAC13F5.07c antibody is polyclonal, researchers should understand the comparative advantages when considering future reagent development:
| Characteristic | Polyclonal SPAC13F5.07c Antibody | Potential Monoclonal Alternative |
|---|---|---|
| Epitope coverage | Multiple epitopes | Single epitope |
| Signal strength | Generally stronger | May require signal amplification |
| Batch consistency | Variable between lots | Highly consistent |
| Production scalability | Limited by animal immunization | Unlimited once hybridoma established |
| Detection robustness | Less affected by minor protein modifications | May fail if specific epitope is modified |
| Cost and production time | Lower cost, shorter production time | Higher initial cost, longer development |
For SPAC13F5.07c research, polyclonal antibodies often provide advantages for initial characterization due to their robust signal and multiple epitope recognition, while monoclonal antibodies would offer benefits for standardized assays requiring consistent lot-to-lot performance .
Several emerging technologies hold promise for enhancing SPAC13F5.07c antibody applications:
Single-molecule detection platforms:
DNA-PAINT super-resolution microscopy for precise localization
Single-molecule pull-down (SiMPull) for analyzing individual protein complexes
These approaches could reveal heterogeneity in SPAC13F5.07c interactions not detectable in bulk assays
Microfluidic antibody applications:
Droplet-based single-cell Western blotting
Microfluidic immunoprecipitation with dramatically reduced sample requirements
These technologies enable analysis from limited samples or rare cell populations
Spatial proteomics integration:
Combining antibody detection with mass spectrometry imaging
Multiplexed ion beam imaging (MIBI) for simultaneous detection of multiple targets
These methods provide spatial context to protein interactions and modifications
Antibody engineering opportunities:
Single-chain variable fragments (scFvs) derived from the polyclonal population
Nanobody development against SPAC13F5.07c for improved penetration
These smaller binding reagents could access epitopes in complex structures
Implementing these technologies could significantly expand the utility of SPAC13F5.07c antibodies in both basic research and potential diagnostic applications .
Comprehensive validation across strains and conditions is critical for robust SPAC13F5.07c antibody applications:
Strain-specific validation protocol:
Test antibody performance in laboratory strains versus natural isolates
Validate detection in strains with varying SPAC13F5.07c sequence polymorphisms
Create calibration curves for quantification in different genetic backgrounds
Growth condition considerations:
Examine epitope accessibility changes under stress conditions
Monitor post-translational modifications that may affect antibody binding
Establish detection limits across growth phases (log, stationary)
Environmental factor assessment:
Temperature effects on protein expression and antibody affinity
Nutrient limitation impacts on target abundance
pH variation effects on epitope conformation
Experimental design strategy:
Include strain-matched positive and negative controls
Implement spike-in standards for cross-condition normalization
Document condition-specific optimization parameters in standardized format
This systematic validation approach ensures reliable data interpretation across diverse experimental conditions and strain backgrounds, critical for comparative studies in yeast biology .