The designation "SPAC13G6.09" follows the systematic gene-naming convention for Schizosaccharomyces pombe (fission yeast), where:
SPAC: Species prefix for S. pombe
13G6: Chromosomal locus (13th chromosome, G6 region)
09: Open reading frame (ORF) identifier
If "SPAC13G6.09 Antibody" were a valid compound, its characterization would likely involve:
| Parameter | Typical Assays | Relevance to S. pombe Studies |
|---|---|---|
| Specificity | Western blot, immunofluorescence | Confirms target binding in yeast lysate |
| Cross-reactivity | ELISA with homologous proteins | Ensures species specificity |
| Functional validation | Gene knockout phenotypes | Links antibody activity to gene function |
| Epitope mapping | Peptide microarray | Identifies binding regions |
Such data are absent for "SPAC13G6.09 Antibody" in the examined sources .
Terminology Error: The identifier may contain typographical errors (e.g., "SPAC13G6.09" vs. "SPAC13F5.07c" in ).
Undisclosed Research: The antibody could be part of unpublished or proprietary studies not accessible in public databases.
Obsolete Designation: The identifier might reference a deprecated gene model no longer in use.
Verify the identifier with genomic databases (e.g., PomBase) for updated nomenclature.
Consult antibodies targeting adjacent loci (e.g., SPAC13F5.07c) as potential alternatives .
Explore S. pombe histone modification studies, as similar antibodies often support epigenetic research (e.g., H2B ubiquitylation in ).
SPAC13G6.09 follows the systematic gene-naming convention for Schizosaccharomyces pombe (fission yeast), where SPAC indicates the species prefix for S. pombe, 13G6 represents the chromosomal locus (13th chromosome, G6 region), and 09 is the open reading frame (ORF) identifier. Researchers typically develop antibodies against S. pombe proteins to study their expression, localization, interactions, and functions within cellular processes. Antibodies enable visualization of proteins through techniques like immunofluorescence microscopy, western blotting, and immunoprecipitation, providing valuable insights into gene function in this model organism.
Validation of any S. pombe-specific antibody should follow a multi-step approach:
Specificity testing: Perform western blot analysis comparing wild-type strains versus knockout or deletion mutants lacking SPAC13G6.09
Cross-reactivity assessment: Test against homologous proteins using ELISA to ensure species specificity
Functional validation: Correlate antibody binding with known gene knockout phenotypes
Epitope mapping: Use peptide microarrays to identify precise binding regions
A comprehensive validation approach ensures reliable results in subsequent experiments and prevents misinterpretation of data due to non-specific binding.
| Application | Technique | Expected Information |
|---|---|---|
| Protein detection | Western blot | Protein expression levels, molecular weight confirmation |
| Localization studies | Immunofluorescence | Subcellular distribution patterns |
| Protein-protein interactions | Co-immunoprecipitation | Binding partners and complex formation |
| Chromatin association | ChIP assays | DNA binding sites if applicable |
| Post-translational modifications | IP followed by MS analysis | Identification of regulatory modifications |
These applications provide complementary data that collectively elucidate protein function within the broader cellular context of S. pombe.
Cross-reactivity represents a significant challenge when working with antibodies in complex systems. For SPAC13G6.09 antibodies:
Pre-absorption controls: Incubate the antibody with purified recombinant SPAC13G6.09 protein prior to use in assays. Complete signal loss confirms specificity.
Epitope competition assays: Include varying concentrations of the immunizing peptide during primary antibody incubation to demonstrate specific displacement.
Orthogonal detection methods: Compare antibody-based detection with orthogonal techniques like mass spectrometry or genetic tagging methods.
Cross-species validation: Test the antibody against related organisms with known sequence homology to identify potential cross-reactive epitopes.
For maximum confidence, researchers should implement multiple approaches and include appropriate negative controls (including isotype controls similar to those used for other antibody systems) .
Optimizing immunoprecipitation with yeast proteins requires careful consideration of several parameters:
Lysis buffer optimization:
Test buffers with varying detergent concentrations (0.1-1% NP-40, Triton X-100)
Adjust salt concentrations (150-500 mM NaCl) to modulate stringency
Include appropriate protease and phosphatase inhibitors
Antibody coupling approaches:
Direct coupling to protein A/G beads
Covalent coupling to reduce antibody contamination in mass spectrometry experiments
Pre-clearing lysates to reduce non-specific binding
Incubation conditions:
Testing different temperatures (4°C vs. room temperature)
Varying incubation times (2 hours vs. overnight)
Implementing gentle agitation methods
Wash stringency gradients:
Progressive increase in wash buffer stringency
Determination of minimum conditions that maintain specific interactions
The optimal protocol will vary depending on SPAC13G6.09's abundance, solubility properties, and interaction stability.
When antibody-based detection yields results that contradict genetic approaches:
Validate antibody specificity: Re-confirm antibody specificity through additional controls, particularly gene deletion strains.
Consider post-translational modifications: The antibody may recognize specific modified forms of the protein not represented in genetic models.
Examine epitope accessibility: The three-dimensional conformation of the protein in different experimental contexts may affect epitope accessibility.
Evaluate genetic compensation mechanisms: Genetic approaches may trigger compensatory mechanisms not present in antibody-based studies.
Compare detection sensitivity thresholds: Antibody-based methods and genetic approaches have different detection limits that may explain apparent contradictions.
To resolve such contradictions, researchers should employ complementary approaches such as epitope tagging, mass spectrometry, or alternative antibodies targeting different epitopes of SPAC13G6.09.
The following protocol optimizes immunofluorescence detection of SPAC13G6.09 in fission yeast:
Cell fixation:
Grow cells to mid-log phase (OD600 = 0.5-0.8)
Fix with 3.7% formaldehyde for 30 minutes at room temperature
Alternative fixation: 100% methanol at -20°C for 8 minutes for certain epitopes
Cell wall digestion:
Treat with zymolyase (1mg/ml) in PEMS buffer for 30-60 minutes at 37°C
Monitor spheroplasting by phase-contrast microscopy
Permeabilization:
1% Triton X-100 in PBS for 5 minutes
Alternative: 0.1% SDS for 1 minute for certain nuclear proteins
Blocking and antibody incubation:
Block with 5% BSA in PEMBAL buffer for 60 minutes
Incubate with primary antibody (optimal dilution determined empirically, typically 1:100-1:1000) overnight at 4°C
Wash 3x in PEMBAL
Incubate with fluorophore-conjugated secondary antibody (1:500) for 2 hours at room temperature
Mounting and imaging:
Mount in anti-fade medium containing DAPI
Image using appropriate filter sets
For co-localization studies, compatible secondary antibodies (similar to the PE-conjugated format used for other immunostaining applications) should be selected to avoid spectral overlap .
For quantitative western blot analysis:
Sample preparation:
Extract proteins using TCA precipitation or mechanical disruption with glass beads
Quantify total protein using Bradford or BCA assay
Normalize loading to 20-50μg total protein per lane
Gel electrophoresis and transfer:
Select appropriate acrylamide percentage based on expected molecular weight
Use wet transfer system with methanol-containing buffer for optimal protein transfer
Antibody incubation:
Block membrane with 5% non-fat milk in TBST for 1 hour
Incubate with primary antibody overnight at 4°C (1:1000 dilution recommended for initial testing)
Use HRP-conjugated secondary antibody (1:5000-1:10000) for 1 hour at room temperature
Quantification approach:
Include serial dilutions of recombinant protein as standard curve
Use housekeeping proteins (e.g., actin, GAPDH) as loading controls
Employ fluorescent secondary antibodies for wider linear dynamic range when precise quantification is required
Analyze using software that corrects for background and normalizes to loading controls
Statistical analysis:
Perform at least three biological replicates
Apply appropriate statistical tests (t-test, ANOVA) based on experimental design
This approach provides both qualitative confirmation of specificity and accurate quantification of protein levels.
To investigate cell cycle-dependent modifications:
Cell synchronization approaches:
Nitrogen starvation and release
Hydroxyurea block and release
Temperature-sensitive cdc mutants
Centrifugal elutriation for size-based separation
Time-course sampling:
Collect samples at 15-20 minute intervals covering the full cell cycle (approximately 2-3 hours)
Process parallel samples for flow cytometry to confirm synchronization quality
Fix cells for microscopy to correlate with cell cycle phases
Analytical methods:
Western blotting with mobility shift detection
Phospho-specific antibodies if phosphorylation is suspected
Immunoprecipitation followed by mass spectrometry to identify modifications
2D gel electrophoresis to resolve modified isoforms
Controls and validation:
Include asynchronous culture controls
Use phosphatase treatment to confirm phosphorylation events
Compare with known cell cycle markers (e.g., Cdc13, Cdc2)
This comprehensive approach allows detection of transient modifications that might be diluted in asynchronous populations .
When facing weak or absent signals:
Antibody-related factors:
Test multiple antibody concentrations (perform a titration series)
Extend primary antibody incubation time or temperature
Verify antibody storage conditions and expiration date
Consider different clones if available or epitope-specific antibodies targeting different regions
Sample preparation optimization:
Modify extraction buffer composition (detergents, salt concentration)
Test alternative fixation methods for immunofluorescence
Enrich target protein through fractionation or immunoprecipitation
Detection system enhancement:
Implement signal amplification methods (TSA, polymer-based detection)
Use more sensitive detection substrates (enhanced chemiluminescence)
Extend exposure times for western blotting
Optimize microscope settings for immunofluorescence
Protein abundance and accessibility:
Confirm protein expression under current experimental conditions
Consider cellular compartment accessibility issues
Test epitope retrieval methods if applicable
These approaches systematically address the most common causes of signal problems when working with antibodies against low-abundance yeast proteins .
When evaluating multiple antibody clones:
| Evaluation Parameter | Methodology | Scoring Criteria |
|---|---|---|
| Specificity | Western blot with knockout controls | Signal-to-noise ratio between WT and KO samples |
| Sensitivity | Dilution series of recombinant protein | Limit of detection (ng-μg range) |
| Epitope accessibility | Multiple sample preparation methods | Signal intensity across different preparations |
| Cross-reactivity | Testing against related proteins | Absence of non-specific bands |
| Reproducibility | Replicate experiments | Coefficient of variation between experiments |
| Application versatility | Testing in multiple techniques (WB, IF, IP) | Functionality across applications |
This systematic evaluation framework allows researchers to select the optimal antibody clone for their specific experimental needs, rather than using a single metric for selection .
To assess ChIP suitability:
Preliminary evaluation:
Perform standard immunoprecipitation to confirm antibody binding under native conditions
Confirm antibody performance in formaldehyde-fixed samples by western blot
Assess antibody specificity via protein knockdown/knockout controls
ChIP protocol optimization:
Test different crosslinking conditions (0.75-3% formaldehyde, 5-20 minutes)
Optimize sonication parameters for ideal chromatin fragment size (200-500bp)
Compare different antibody concentrations (2-10μg per reaction)
Evaluate various washing stringencies to minimize background
ChIP-qPCR validation:
Design primers targeting regions with predicted binding (if known)
Include negative control regions (housekeeping genes)
Compare enrichment to IgG control
Calculate signal-to-noise ratios at target vs. control regions
Quality metrics for success:
4-fold enrichment over IgG control
<1% input recovery at negative regions
Reproducible enrichment patterns across replicates
Depletion of signal in genetic knockout controls
This approach ensures that the antibody can specifically recognize the SPAC13G6.09 protein in the context of chromatin and provides reliable data for downstream applications like ChIP-seq .
SPAC13G6.09 antibody can be integrated with proximity labeling through the following approaches:
BioID or TurboID fusion protein generation:
Create genetic fusions of SPAC13G6.09 with biotin ligase
Express in S. pombe under native or regulated promoters
Verify expression and functionality using the SPAC13G6.09 antibody
Identify interacting proteins via streptavidin pulldown and mass spectrometry
Antibody-based proximity labeling:
Conjugate SPAC13G6.09 antibody with HRP or APEX2
Apply to fixed cells or cell extracts
Activate labeling with hydrogen peroxide and biotin-phenol
Identify labeled proteins by streptavidin pulldown and mass spectrometry
Validation of proximity-based interactions:
Confirm selected interactions by co-immunoprecipitation with SPAC13G6.09 antibody
Perform reciprocal experiments using antibodies against identified partners
Correlate proximity labeling data with functional assays
Spatiotemporal implementation:
Apply conditional expression systems to study interactions at specific cell cycle stages
Combine with subcellular fractionation to focus on specific compartments
This methodology enables the identification of both stable and transient protein interactions that might be missed by conventional co-immunoprecipitation approaches .
When applying super-resolution microscopy techniques:
Antibody characteristics for optimal imaging:
Validate high specificity to minimize background signal
Confirm sensitivity to detect low-abundance proteins
Select appropriate fluorophore-conjugated secondary antibodies with photostability properties suited to the super-resolution technique
Sample preparation adaptations:
Optimize fixation protocols to preserve cellular ultrastructure
Test alternative permeabilization methods that maintain epitope accessibility
Consider cryosectioning for improved structural preservation
Test mounting media specifically formulated for super-resolution (containing oxygen scavengers for STORM/PALM)
Technique-specific considerations:
For STORM/PALM: Select secondary antibodies with appropriate blinking characteristics
For SIM: Ensure high signal-to-noise ratio and consistent labeling
For STED: Choose fluorophores with suitable depletion properties
Controls and validation:
Include knockout/knockdown controls to confirm specificity at super-resolution level
Perform correlative imaging with conventional techniques
Use known markers to validate colocalization claims
These considerations ensure that antibody-based detection is compatible with the higher resolution and technical demands of super-resolution microscopy techniques .
Integration with single-cell proteomics could involve:
Antibody-based cell sorting:
Use SPAC13G6.09 antibody for cell isolation based on expression levels
Sort populations for downstream single-cell mass spectrometry
Correlate protein expression heterogeneity with cellular phenotypes
Antibody-based microfluidic platforms:
Implement in microfluidic chips for single-cell protein detection
Combine with other antibodies for multiplexed analysis
Quantify protein levels across population distributions
Mass cytometry applications:
Conjugate SPAC13G6.09 antibody with heavy metals for CyTOF analysis
Enable high-dimensional profiling in combination with other cellular markers
Assess correlations between SPAC13G6.09 expression and cellular states
Spatial proteomics integration:
Use for highly multiplexed imaging approaches (CODEX, CycIF)
Correlate spatial distribution with functional organization
Implement in spatial transcriptomics-proteomics correlative studies
These emerging technologies would allow researchers to move beyond population averages and understand the role of SPAC13G6.09 in cellular heterogeneity and microenvironmental contexts .
Methodological advances for improved detection include:
Signal amplification technologies:
Tyramide signal amplification (TSA) for immunohistochemistry and blotting
Proximity ligation assay (PLA) for detecting protein-protein interactions
Polymerized reporter enzyme mechanisms for enhanced sensitivity
Quantum dot conjugation for improved fluorescence detection
Sample preparation enhancements:
Targeted protein enrichment using affinity purification
Subcellular fractionation to concentrate proteins from specific compartments
Optimized extraction methods for membrane or chromatin-associated proteins
Depletion of abundant proteins to enhance detection of low-abundance species
Advanced detection systems:
Digital western blotting platforms with enhanced sensitivity
Single-molecule detection approaches
Nano-immunoassay methods for minimal sample requirements
Microfluidic antibody capture surfaces with real-time detection
These methodological advances could potentially lower detection thresholds by 10-100 fold compared to conventional techniques, enabling visualization and quantification of previously undetectable protein forms .