The SPAC29B12.10c gene encodes Sup11p, a critical protein in fission yeast cell wall synthesis. Sup11p is involved in β-1,6-glucan formation, a polysaccharide essential for maintaining cell wall integrity and septum assembly during cell division . The protein shares homology with Saccharomyces cerevisiae Kre9p, which regulates β-1,6-glucan synthesis in budding yeast .
The study employs a polyclonal antibody raised against GST-fusion peptides of Sup11p for immunoblotting and localization studies . Key findings include:
Western blot analysis: Demonstrated Sup11p expression in wild-type cells but absence in a conditional mutant (nmt81-sup11), confirming its essential role in β-1,6-glucan biosynthesis .
Proteinase K protection assay: Revealed Sup11p localization to the cell wall, consistent with its role in β-1,6-glucan synthesis .
Sup11p is indispensable for proper septum formation. Mutants with reduced Sup11p expression exhibit malformed septa and aberrant β-1,3-glucan accumulation, disrupting cell division .
Gas2p, a β-1,3-glucanosyltransferase, was implicated in septum defects via transcriptome analysis .
Sup11p is hypo-mannosylated in an O-mannosylation mutant (oma4Δ), allowing N-glycosylation at an unusual sequon (N-X-A) within its S/T-rich region .
The study underscores Sup11p’s dual role in β-1,6-glucan biosynthesis and septum morphogenesis, with broader implications for understanding fungal cell wall dynamics and potential antifungal targets .
The antibody’s specificity and cross-reactivity with other proteins were not systematically evaluated .
Further studies are needed to explore Sup11p’s interaction partners and regulatory mechanisms in β-1,6-glucan synthesis.
| Parameter | Wild-Type | Mutant (nmt81-sup11) | Method |
|---|---|---|---|
| β-1,6-glucan presence | Present | Absent | Glycan analysis |
| Septum morphology | Normal | Malformed | Microscopy |
| Gas2p expression | Basal | Upregulated | Transcriptome analysis |
| Sup11p localization | Cell wall | Cytoplasmic | Proteinase K assay |
KEGG: spo:SPAC29B12.12
STRING: 4896.SPAC29B12.12.1
SPAC29B12.12 is a gene/protein found in Schizosaccharomyces pombe (strain 972 / ATCC 24843), commonly known as fission yeast. While detailed functional characterization is still ongoing, it belongs to a group of proteins that have been studied in the context of cellular processes specific to S. pombe. Understanding its function requires techniques such as gene knockout studies, protein localization, and interaction partner identification using the antibody against this protein.
Antibody validation should employ multiple complementary approaches:
Western blot analysis comparing wild-type and knockout strains
Immunoprecipitation followed by mass spectrometry
Immunofluorescence microscopy comparing signal patterns with knockout controls
Pre-adsorption tests with recombinant antigen
Cross-reactivity testing against closely related S. pombe proteins
Similar to methods used in fission yeast studies, researchers should validate antibody specificity using techniques demonstrated in other S. pombe protein studies. For example, in studies of Iec1 protein, investigators confirmed antibody specificity through coimmunoprecipitation experiments with whole-cell extracts from endogenously MYC-tagged or HA-tagged protein-expressing strains, followed by Western blot analysis .
For optimal Western blot results with SPAC29B12.12 antibody:
| Parameter | Recommended Condition | Notes |
|---|---|---|
| Protein loading | 20-40 μg total protein | Adjust based on expression level |
| Transfer method | Wet transfer | 100V for 1 hour or 30V overnight |
| Blocking solution | 5% non-fat milk in TBST | 1 hour at room temperature |
| Primary antibody dilution | 1:1,000 | Optimize between 1:500-1:2,000 |
| Incubation | Overnight at 4°C | Can be optimized to 2 hours at RT |
| Secondary antibody | HRP-conjugated anti-species | 1:5,000 dilution |
| Detection method | ECL chemiluminescence | Adjust exposure based on signal strength |
Based on protocols for S. pombe proteins, Western blot conditions should follow similar approaches to those used for other fission yeast proteins: "Proteins were separated on 4 to 12% NuPage Novex Bis-Tris gels (Invitrogen) and transferred to Hybond ECL nitrocellulose membranes (GE Healthcare). The blots were then incubated in anti-HA antibody (Roche; dilution, 1:1,000), M2 anti-FLAG antibody (dilution, 1:1,000; Sigma), or anti-MYC (dilution, 1:1,000; Cell Signaling)" .
For optimal storage and handling:
Store antibody aliquots at -20°C for long-term storage
Avoid repeated freeze-thaw cycles by creating small working aliquots
For short-term storage (1-2 weeks), keep at 4°C with 0.02% sodium azide
Follow manufacturer's recommendations for specific formulation details
When working with the antibody, maintain cold chain when possible
Centrifuge vial briefly before opening to collect solution at the bottom
To characterize protein-protein interactions:
Immunoprecipitation coupled with mass spectrometry:
Use SPAC29B12.12 antibody to immunoprecipitate the native protein complex
Analyze interacting partners through mass spectrometry
Validate interactions through reciprocal IP experiments
Proximity-based labeling:
Fuse SPAC29B12.12 to BioID or APEX2
Identify proximal proteins through streptavidin pulldown
Confirm interactions with SPAC29B12.12 antibody
Co-localization studies:
Use SPAC29B12.12 antibody in combination with antibodies against suspected interactors
Perform dual-color immunofluorescence microscopy
Quantify co-localization using appropriate image analysis software
This approach has been successful in identifying interacting partners in fission yeast: "The presence of Iec1 in the Ino80 complex was confirmed by coimmunoprecipitation experiments with whole-cell extracts from endogenously MYC-tagged or HA-tagged Iec1-and FLAG-tagged Ino80-expressing strains, followed by Western blot analysis" .
For effective ChIP-seq with SPAC29B12.12 antibody:
Chromatin preparation:
Fix cells with 1% formaldehyde for 15 minutes at room temperature
Quench with 125 mM glycine
Isolate nuclei and fragment chromatin to 200-500 bp
Verify fragmentation by agarose gel electrophoresis
Immunoprecipitation optimization:
Test multiple antibody concentrations (2-10 μg per reaction)
Include appropriate controls (non-specific IgG, input DNA)
Optimize wash stringency to minimize background
Perform trial qPCR on known or suspected binding regions before sequencing
Library preparation and analysis:
Prepare libraries with appropriate adapters
Sequence to adequate depth (20-40 million reads)
Analyze using established peak-calling algorithms
Validate peaks with independent techniques (ChIP-qPCR)
This application is particularly relevant as S. pombe is an excellent model organism for chromatin studies, as demonstrated in research on Ino80: "We wanted to establish if the fission yeast complex also plays a role in these processes."
For improving antibody specificity:
Epitope-specific purification:
Use affinity purification with recombinant epitope
Elute with high salt or low pH buffers
Neutralize immediately after elution
Cross-adsorption techniques:
Pass antibody through column with immobilized proteins from knockout strain
Collect flow-through containing antibodies that don't bind to non-specific targets
Concentrate and validate improved specificity
Monoclonal antibody development:
Screen hybridoma clones for highest specificity
Select clone with optimal performance in target applications
Characterize epitope binding through structural and biochemical analyses
Computational antibody design:
Apply frameworks like RosettaAntibodyDesign (RAbD)
Optimize complementarity-determining regions (CDRs)
Select designs with improved specificity profiles
As demonstrated in other antibody research: "RosettaAntibodyDesign (RAbD) samples the diverse sequence, structure, and binding space of an antibody to an antigen in highly customizable protocols for the design of antibodies in a broad range of applications" .
To study protein localization dynamics:
Synchronization methods:
Use nitrogen starvation or hydroxyurea block
Confirm synchronization by flow cytometry or microscopy
Collect samples at defined time points
Immunofluorescence microscopy:
Fix cells with 3.7% formaldehyde
Digest cell wall with zymolyase
Permeabilize with 0.1% Triton X-100
Incubate with SPAC29B12.12 antibody (1:200 dilution)
Counterstain with DAPI for nuclear visualization
Live-cell imaging:
Generate GFP-tagged version of SPAC29B12.12
Validate tag functionality using SPAC29B12.12 antibody
Perform time-lapse microscopy
Quantify localization changes with appropriate image analysis software
Co-localization with cell cycle markers:
Use SPAC29B12.12 antibody in combination with cell cycle marker antibodies
Analyze co-localization at different cycle stages
Correlate changes with cell cycle progression
These approaches align with established methods for studying fission yeast proteins during the cell cycle.
Common IP issues and solutions:
| Issue | Potential Causes | Solutions |
|---|---|---|
| Low IP efficiency | Insufficient antibody | Increase antibody amount (5-10 μg) |
| Poor antibody-bead binding | Optimize antibody-bead incubation time | |
| Harsh lysis conditions | Use gentler lysis buffer with protease inhibitors | |
| High background | Insufficient washing | Increase wash stringency or number of washes |
| Non-specific binding | Pre-clear lysate with Protein A/G beads | |
| Cross-reactive antibody | Use more specific elution conditions | |
| No signal in Western blot | Protein degradation | Add fresh protease inhibitors |
| Inefficient elution | Try different elution conditions (pH, salt, etc.) | |
| Low expression level | Increase starting material amount |
For optimal results: "The protocols should be optimized based on the properties of SPAC29B12.12 and the specific experimental conditions."
For epitope mapping:
Peptide array analysis:
Synthesize overlapping peptides covering SPAC29B12.12
Incubate array with antibody
Detect binding with secondary antibody
Identify peptides showing strongest signals
Deletion/mutation analysis:
Generate truncated or mutated versions of SPAC29B12.12
Express recombinant fragments
Test antibody binding by Western blot
Narrow down essential residues for binding
Hydrogen-deuterium exchange mass spectrometry:
Compare exchange patterns with and without antibody
Identify regions protected by antibody binding
Map protected regions to protein structure
Computational prediction:
Use structure prediction tools to identify surface-exposed regions
Correlate with experimental results
Model antibody-antigen interaction
Epitope mapping is crucial for understanding antibody specificity, as seen in other research: "The epitopes of each antibody are shown in red in Figure 5B and were localized around residues 470-500 of Spike. The residues that affected the neutralizing ability in the Spike-ACE2 inhibition assay described in Figure 3A are marked with squares and are highly consistent with the results of the structural analysis" .
To mitigate cross-reactivity:
Pre-absorption with related proteins:
Express and purify related S. pombe proteins
Incubate antibody with these proteins
Remove antibodies that bind to related proteins
Test specificity of remaining antibodies
Competitive blocking experiments:
Add excess of purified related proteins to samples
Allow these to compete for cross-reactive antibodies
Proceed with normal antibody incubation
Analyze specificity improvement
Epitope-focused antibody generation:
Identify unique epitopes in SPAC29B12.12
Generate antibodies specifically against these regions
Test specificity against whole proteome
Use of knockout controls:
Include SPAC29B12.12 knockout samples
Any signal in knockout represents cross-reactivity
Optimize conditions to eliminate this signal
Understanding specificity is especially important for S. pombe proteins that may share domains with related proteins.
For protein degradation studies:
Cycloheximide chase assays:
Inhibit protein synthesis with cycloheximide
Collect samples at multiple time points
Use SPAC29B12.12 antibody for Western blot analysis
Quantify protein levels relative to loading control
Calculate protein half-life
Proteasome inhibition studies:
Treat cells with MG132 or bortezomib
Compare SPAC29B12.12 levels with and without inhibitor
Detect ubiquitinated forms using SPAC29B12.12 antibody after IP
Identify conditions affecting degradation rate
Pulse-chase experiments:
Metabolically label proteins with radioactive amino acids
Chase with non-radioactive media
Immunoprecipitate with SPAC29B12.12 antibody
Detect labeled protein by autoradiography
Quantify decay over time
These approaches provide insight into protein turnover mechanisms, which are critical for understanding protein function in different cellular contexts.
For multi-omics studies:
Antibody validation for specific applications:
Validate antibody performance in each planned application
Establish detection limits and dynamic range
Document lot-to-lot variation
Consider creating standard reference materials
Integration with other omics data:
Use standardized sample processing
Include appropriate controls for normalization
Implement robust statistical analysis methods
Validate findings across multiple platforms
Spatial proteomics considerations:
Optimize fixation and permeabilization for subcellular compartments
Use organelle markers to confirm localization
Consider proximity labeling approaches
Correlate with transcriptomic data
Data management practices:
Document all experimental parameters
Use consistent identifiers across datasets
Implement appropriate data normalization
Consider batch effects in analysis
Multi-omics approaches can provide comprehensive understanding of SPAC29B12.12 function within the broader cellular context.
Computational approaches include:
Structure-based antibody engineering:
Predict SPAC29B12.12 structure using AlphaFold2
Identify optimal epitopes based on surface accessibility and uniqueness
Use RosettaAntibodyDesign to optimize binding
Validate designs experimentally
Machine learning for optimization:
Train models on antibody performance data
Predict optimal experimental conditions
Identify parameters affecting specificity and sensitivity
Implement automated analysis pipelines
Molecular dynamics simulations:
Model antibody-antigen interactions
Predict binding affinity changes with mutations
Optimize stability and binding kinetics
Guide experimental validation
As stated in research: "RosettaAntibodyDesign (RAbD) samples the diverse sequence, structure, and binding space of an antibody to an antigen in highly customizable protocols for the design of antibodies in a broad range of applications. The program samples antibody sequences and structures by grafting structures from a widely accepted set of the canonical clusters of CDRs" .
For environmental stress studies:
Stress induction protocols:
Subject cells to various stresses (heat, oxidative, osmotic)
Collect samples at multiple time points
Analyze SPAC29B12.12 levels by Western blot
Compare with known stress response proteins
Subcellular localization changes:
Perform immunofluorescence before and after stress
Track SPAC29B12.12 localization changes
Co-stain with organelle markers
Quantify redistribution patterns
Protein modification analysis:
Use 2D gel electrophoresis followed by Western blot
Identify post-translational modifications
Compare modification patterns under different stresses
Connect to known stress signaling pathways
This approach aligns with established methods for studying stress responses in fission yeast: "Dilutions of control (WT; FY367) and ⌬iec1 (CH015) were plated on rich medium (YES) and incubated at 37°C or supplemented with 10 g/ml benomyl, 1% formamide, 0.004% MMS, or 0.5 mM CdSO4; incubated at 30°C; and visualized after 3 to 4 days" .
For improved reproducibility:
Standardized validation reporting:
Document antibody validation methods
Share detailed protocols including buffer compositions
Report lot numbers and sources
Publish negative control data
Reference standards development:
Create recombinant protein standards
Develop standard operating procedures
Establish performance benchmarks
Share reference materials between labs
Collaborative validation:
Conduct multi-laboratory validation studies
Compare results across different experimental systems
Identify sources of variability
Implement corrective measures
Transparent data sharing:
Deposit raw data in public repositories
Provide detailed metadata
Share analysis code and pipelines
Document unexpected results or limitations
These practices address the reproducibility challenges highlighted in antibody research: "The lack of both reproducible computational algorithms and of output sequences in the initial publications obscures the relationship to previously reported antibodies, and sows doubt as to the genesis narrative described therein" .