KEGG: spo:SPAC6B12.04c
STRING: 4896.SPAC6B12.04c.1
SPAC6B12.04c is a gene in Schizosaccharomyces pombe (fission yeast) that encodes an uncharacterized aminotransferase belonging to class I and II (EC 2.6.1.-) . Biochemically, it's predicted to function in amino acid metabolism by catalyzing the transfer of amino groups between amino acids and α-keto acids. Research suggests potential involvement in cell wall integrity pathways, similar to other proteins characterized in S. pombe cellular processes . The gene appears in multiple genomic analyses of fission yeast, including studies examining gene expression profiles under various conditions . Though not fully characterized functionally, it represents an important target for researchers studying metabolic pathways in model organisms.
Based on available data, the SPAC6B12.04c antibody is suitable for multiple experimental applications:
The antibody is typically generated in rabbit hosts with specificity against Schizosaccharomyces pombe (strain 972/ATCC 24843) proteins . Most commercially available preparations are purified through antigen affinity methods to ensure high specificity and reduced background . As with other S. pombe antibodies, it may potentially be used for immunofluorescence microscopy and immunoprecipitation studies, though these applications would require validation for this specific antibody.
For optimal Western blot results with SPAC6B12.04c antibody, the following protocol is recommended:
Sample Preparation:
Harvest S. pombe cells at mid-log phase (OD600 ~0.5-1.0)
Lyse cells using methods similar to those described for other S. pombe proteins
Extract total protein using TRIzol or dedicated protein extraction buffers
Quantify protein concentration using Bradford or BCA assay
Western Blot Procedure:
Separate 10-30 μg protein on 10-12% SDS-PAGE gels
Transfer to nitrocellulose or PVDF membranes
Block with 5% non-fat milk in TBST for 1 hour at room temperature
Incubate with primary SPAC6B12.04c antibody (typical dilution 1:1000-1:2000) overnight at 4°C
Wash 3-5 times with TBST
Incubate with HRP-conjugated secondary anti-rabbit antibody (1:5000-1:10000) for 1 hour
Develop using ECL detection system
Controls:
Include wild-type S. pombe lysate as positive control
Use appropriate loading controls such as GAPDH or actin
Consider including lysate from a SPAC6B12.04c deletion strain as negative control if available
Proper storage and handling are critical for maintaining antibody functionality:
Storage Conditions:
Avoid repeated freeze-thaw cycles (aliquot upon receipt)
For working solutions, store at 4°C for up to two weeks
If needed, add preservatives (e.g., sodium azide at 0.02%) for longer storage at 4°C
Handling Guidelines:
Centrifuge briefly before opening to collect solution at the bottom
Use sterile techniques when handling antibody solutions
Avoid contamination with microorganisms
Keep on ice during experiments
Follow manufacturer's specific recommendations for reconstitution if lyophilized
Stability Information:
Most SPAC6B12.04c antibodies remain stable until the expiration date when stored properly at recommended temperatures .
Proper experimental controls are essential for validating antibody specificity:
Positive Controls:
Wild-type S. pombe cell lysate
Recombinant SPAC6B12.04c protein (if available)
Negative Controls:
SPAC6B12.04c deletion mutant (ΔSPAC6B12.04c)
Secondary antibody-only controls to detect non-specific binding
Peptide competition assay using the immunizing peptide
Validation Methods:
Compare band patterns between wild-type and deletion strains
Verify expected molecular weight (~predicted size for SPAC6B12.04c)
Confirm signal reduction/elimination in peptide competition assays
Cross-validate with differently tagged versions of the protein
For effective co-immunoprecipitation (Co-IP) of SPAC6B12.04c and its interaction partners:
Lysate Preparation:
Harvest 100 A600 units of cells in logarithmic growth phase
Wash twice with cold phosphate-buffered saline
Treat with Zymolyase (Sigma) for 30 minutes to generate spheroplasts
Lyse cells in a buffer that preserves protein-protein interactions (e.g., TPER lysis buffer )
Clear lysate by centrifugation (14,000 rpm, 15 minutes, 4°C)
Immunoprecipitation Procedure:
Pre-clear lysate with Protein A/G beads for 1 hour at 4°C
Incubate with SPAC6B12.04c antibody (2-5 μg) overnight at 4°C
Add Protein A/G beads and incubate for additional 2-4 hours
Wash extensively (4-6 times) with reduced-detergent buffer
Elute bound proteins with SDS sample buffer or gentle elution buffer
Detection Methods:
Western blot with SPAC6B12.04c antibody to confirm primary target precipitation
Western blot with antibodies against suspected interaction partners
Mass spectrometry analysis for unbiased identification of co-precipitated proteins
Optimization Strategies:
Test different lysis buffers with varying salt and detergent concentrations
Try different antibody amounts and incubation times
Consider crosslinking approaches for capturing transient interactions
Use tagged versions (e.g., TAP-tagged) as complementary approach
To effectively analyze SPAC6B12.04c expression changes:
Real-Time Quantitative PCR (RT-qPCR):
Treat RNA with DNase I to remove genomic DNA contamination
Perform reverse transcription using a high-quality kit (e.g., TaKaRa PrimeScript)
Design specific primers for SPAC6B12.04c (18-25 bp, Tm ~60°C)
Analyze using comparative Ct method (2^-ΔΔCt)
Sample Experimental Design:
Test expression under normal growth conditions
Examine expression during cell cycle progression
Investigate response to stress conditions (nutritional, oxidative, temperature)
Compare expression in different genetic backgrounds
Data Analysis Table Example:
| Condition | SPAC6B12.04c Ct | Reference Gene Ct | ΔCt | 2^-ΔΔCt | Fold Change |
|---|---|---|---|---|---|
| Control | 24.5 | 18.2 | 6.3 | 1.0 | - |
| Stress 1 | 23.1 | 18.3 | 4.8 | 2.83 | +2.83 |
| Stress 2 | 26.2 | 18.1 | 8.1 | 0.29 | -3.45 |
Integration of genomic approaches with antibody studies provides comprehensive insights:
ChIP-seq Analysis:
Crosslink S. pombe cells with formaldehyde (1-3%, 5-15 minutes)
Lyse cells and fragment chromatin to 200-500 bp by sonication
Immunoprecipitate with SPAC6B12.04c antibody using methods similar to those in published studies
Prepare libraries from immunoprecipitated DNA
Sequence using next-generation sequencing platforms
Analyze data to identify genomic binding sites
RNA-seq Integration:
Perform RNA-seq on wild-type and SPAC6B12.04c mutant strains
Identify differentially expressed genes
Correlate with ChIP-seq binding sites to identify direct targets
Validate selected targets by RT-qPCR and functional assays
Proteomics Approaches:
Perform immunoprecipitation followed by mass spectrometry to identify protein complexes
Use SILAC or TMT labeling for quantitative comparison across conditions
Integrate with existing interactome data for S. pombe proteins
Data Integration Strategy:
Map protein-DNA interactions, protein-protein interactions, and expression data
Apply network analysis to identify functional modules
Validate key interactions with targeted experiments
Use computational approaches to predict protein function based on multi-omics data
Since SPAC6B12.04c is predicted to be an aminotransferase, characterizing its enzymatic activity requires:
Protein Purification:
Express recombinant SPAC6B12.04c in a suitable system (E. coli, yeast)
Add affinity tag (His6, GST) to facilitate purification
Purify using affinity chromatography and size exclusion methods
Verify purity by SDS-PAGE and Western blot with SPAC6B12.04c antibody
Assess protein folding using circular dichroism spectroscopy
Enzymatic Activity Assays:
Test general aminotransferase activity using standard coupled assays
Screen different amino acid and α-keto acid substrates
Measure activity using spectrophotometric methods
Determine kinetic parameters (Km, Vmax, kcat)
Assess cofactor requirements (typically pyridoxal phosphate for aminotransferases)
Inhibition Studies:
Test classic aminotransferase inhibitors
Determine IC50 values for effective inhibitors
Characterize inhibition mechanisms (competitive, non-competitive)
Substrate Specificity Analysis:
Test activity with different amino acids as amino group donors
Examine different α-keto acids as amino group acceptors
Use HPLC or LC-MS to identify reaction products
Compare activity profile with known aminotransferases
CRISPR-Cas9 technology offers powerful approaches for functional studies:
Gene Deletion Strategy:
Design sgRNAs targeting SPAC6B12.04c coding sequence
Clone sgRNAs into a suitable CRISPR-Cas9 expression vector for S. pombe
Prepare repair template with selectable marker (e.g., antibiotic resistance)
Transform S. pombe cells with CRISPR-Cas9 construct and repair template
Select transformants and verify deletion by PCR and sequencing
Phenotypically characterize deletion mutants (growth, morphology, stress resistance)
Tagging Approach:
Design sgRNAs targeting the C-terminus of SPAC6B12.04c
Create repair template with fluorescent protein (GFP) or epitope tag (FLAG, HA)
Ensure in-frame fusion and include flexible linker sequence
Transform, select, and verify correct integration
Use tagged protein for localization studies, ChIP, and protein interaction analyses
Point Mutation Generation:
Identify conserved catalytic residues based on aminotransferase domains
Design sgRNAs targeting these regions
Create repair templates with desired mutations
Introduce mutations using CRISPR-Cas9
Compare mutant phenotypes with complete deletion
Advantages Over Traditional Methods:
Higher efficiency compared to conventional homologous recombination
Reduced off-target effects with optimized sgRNAs
Ability to generate multiple mutations simultaneously
Creation of conditional alleles through inducible systems
To study potential roles in cell wall integrity:
Phenotypic Analysis:
Compare wild-type and SPAC6B12.04c mutant strains under various conditions:
Temperature stress (25°C, 30°C, 36°C)
Cell wall-disrupting agents (calcofluor white, congo red)
Osmotic stress (sorbitol, KCl)
Zymolyase sensitivity assays
Examine cell morphology and septation using DIC and fluorescence microscopy
Cell Wall Component Analysis:
Fractionate cell wall components following protocols similar to those in Sethi et al.
Quantify β-1,3-glucan, α-glucan, and mannan content
Compare profiles between wild-type and mutant strains
Examine changes under different growth conditions
Ultrastructural Studies:
Prepare cells for transmission electron microscopy
Examine cell wall thickness and organization
Quantify ultrastructural defects in mutants
Genetic Interaction Studies:
Create double mutants with known cell wall synthesis genes
Test for synthetic lethality or rescue effects
Examine epistatic relationships with genes in related pathways
Correlate findings with biochemical and phenotypic data
Example Data Table - Cell Wall Analysis:
| Strain | β-1,3-glucan (%) | α-glucan (%) | Mannan (%) | Cell Wall Thickness (nm) |
|---|---|---|---|---|
| Wild-type | 48.3 ± 2.1 | 28.7 ± 1.8 | 23.0 ± 1.5 | 184 ± 12 |
| ΔSPAC6B12.04c | 42.1 ± 3.2 | 31.5 ± 2.3 | 26.4 ± 2.0 | 216 ± 18 |
Common technical challenges and their solutions include:
High Background in Western Blots:
Problem: Non-specific binding creating multiple bands or smears
Solutions:
Increase blocking time or concentration (try 5% BSA instead of milk)
Use more stringent washing (increase time, detergent concentration, or number of washes)
Optimize antibody dilution (try 1:2000-1:5000 range)
Pre-absorb antibody with non-specific proteins
Include 0.1-0.5% Tween-20 in antibody dilution buffer
Weak or No Signal:
Problem: Low detection of target protein
Solutions:
Increase protein loading (30-50 μg per lane)
Decrease antibody dilution (1:500-1:1000)
Extend primary antibody incubation (overnight at 4°C)
Use more sensitive detection systems (enhanced ECL)
Optimize extraction methods to ensure target protein solubilization
Check protein transfer efficiency with reversible staining
Cross-Reactivity:
Problem: Antibody binding to unintended proteins
Solutions:
Validate with knockout/deletion controls
Use more stringent washing conditions
Consider affinity purification against the specific antigen
Pre-absorb antibody with lysates from SPAC6B12.04c deletion strains
Immunoprecipitation Failure:
Problem: Poor target protein recovery
Solutions:
Optimize lysis conditions to maintain native protein conformation
Try different antibody amounts (2-10 μg per sample)
Extend incubation times
Use different bead types (Protein A, Protein G, or mixed)
Consider covalent coupling of antibody to beads
Systematic titration approaches should be used:
Western Blot Titration:
Prepare a dilution series of antibody (e.g., 1:500, 1:1000, 1:2000, 1:5000, 1:10000)
Load consistent amounts of positive control protein (e.g., S. pombe lysate)
Process all blots identically (same blocking, washing, and detection conditions)
Analyze signal-to-noise ratio at each concentration
Select the concentration that provides the best balance between specific signal and background
ELISA Optimization:
Prepare antigen dilution series (coating concentration)
For each antigen concentration, test antibody dilution series
Generate a matrix of results
Select conditions that provide good signal with minimal non-specific binding
Verify with positive and negative controls
Immunofluorescence Titration:
Fix and permeabilize cells using standard protocols
Test antibody at multiple concentrations (1:50, 1:100, 1:200, 1:500)
Include appropriate controls (secondary antibody only, pre-immune serum)
Assess signal intensity, specificity, and background
Document optimal conditions for future reference
Documentation Table Example:
| Application | Starting Dilution | Optimal Dilution | Incubation Conditions | Notes |
|---|---|---|---|---|
| Western Blot | 1:1000 | 1:2000 | Overnight, 4°C | 5% milk blocking |
| ELISA | 1:500 | 1:1000 | 2 hours, RT | 1% BSA as diluent |
| IP | 5 μg/sample | 3 μg/sample | Overnight, 4°C | TPER lysis buffer |
Multiple advanced approaches can reveal protein interaction networks:
Proximity-Dependent Biotin Identification (BioID):
Create a fusion of SPAC6B12.04c with a biotin ligase (BirA*)
Express in S. pombe cells and provide biotin in the medium
Proteins in proximity to SPAC6B12.04c become biotinylated
Purify biotinylated proteins using streptavidin beads
Identify interacting proteins by mass spectrometry
Förster Resonance Energy Transfer (FRET):
Generate fluorescent protein fusions (e.g., SPAC6B12.04c-CFP and candidate interactor-YFP)
Express in S. pombe cells
Measure FRET efficiency using confocal microscopy
Confirm interactions with positive and negative controls
Map interaction domains through truncation mutants
Yeast Two-Hybrid Screening:
Clone SPAC6B12.04c as bait in appropriate vector
Screen against S. pombe cDNA library
Identify positive interactions through reporter gene activation
Validate using co-immunoprecipitation and co-localization studies
Map interaction domains through deletion constructs
Split-Protein Complementation Assays:
Fuse SPAC6B12.04c to one fragment of a reporter protein (e.g., split-GFP, split-luciferase)
Fuse candidate interactors to the complementary fragment
Co-express in S. pombe cells
Measure reconstitution of reporter activity
Validate with other interaction methods
Co-localization Analysis:
Create fluorescently tagged versions of SPAC6B12.04c and potential interactors
Express in S. pombe cells
Analyze using confocal microscopy
Quantify co-localization using appropriate statistical methods
Confirm interactions using biochemical approaches
Current research applications include:
Comparative Cell Wall Studies:
Investigating SPAC6B12.04c localization during different growth phases
Examining protein levels in response to cell wall stress
Comparing with other aminotransferases that may contribute to cell wall synthesis
Studying co-localization with known cell wall synthesis machinery
Septum Formation Research:
Analyzing SPAC6B12.04c distribution during septation
Investigating potential interactions with septum-specific proteins
Examining temporal regulation during the cell cycle
Comparing localization patterns with Bgs1p and other glucan synthases
Stress Response Pathways:
Monitoring SPAC6B12.04c levels during different stress conditions
Investigating post-translational modifications in response to stress
Examining potential roles in stress granule formation
Analyzing relationships with stress-responsive transcription factors
Future Research Opportunities:
Comprehensive interactome mapping of SPAC6B12.04c
Structure-function analysis to understand enzymatic mechanism
Investigation of potential roles in amino acid metabolism
Comparative studies across fungal species to understand evolutionary conservation
Evolutionary and comparative analyses provide broader context:
Conserved Domains and Functions:
Aminotransferases are highly conserved across species from bacteria to humans
Comparison of SPAC6B12.04c with homologs in other organisms can reveal conserved catalytic mechanisms
Functional studies may uncover fundamental metabolic pathways relevant to multiple species
Understanding SPAC6B12.04c can provide insights into related human enzymes
Model Organism Advantages:
S. pombe serves as an excellent model for studying eukaryotic cellular processes
Findings in fission yeast often translate to higher organisms
Genetic manipulation is more straightforward in yeast systems
High-throughput studies are more feasible in model organisms
Translational Potential:
Insights into fungal cell wall synthesis may inform antifungal drug development
Understanding aminotransferase function could impact metabolic disease research
Conserved regulatory mechanisms may apply across species
Protein interaction networks often show significant conservation
Comparative Genomic Analysis:
Examination of SPAC6B12.04c orthologs across species
Analysis of selective pressure on different protein domains
Investigation of species-specific adaptations in aminotransferase function
Correlation with ecological niches and metabolic requirements
Systems biology integration provides comprehensive insights:
Multi-omics Integration:
Combine proteomics data from SPAC6B12.04c immunoprecipitation experiments
Integrate with transcriptomics data from deletion or overexpression studies
Incorporate metabolomics to identify affected metabolic pathways
Use phosphoproteomics to identify regulatory mechanisms
Build integrated networks using computational approaches
Flux Analysis:
Use 13C-labeled metabolites to trace metabolic flux in wild-type vs. mutant strains
Identify metabolic bottlenecks affected by SPAC6B12.04c
Model metabolic rewiring in response to perturbations
Connect enzymatic function with cellular phenotypes
Network Modeling:
Build protein-protein interaction networks centered on SPAC6B12.04c
Incorporate gene expression data to create condition-specific networks
Use Boolean or differential equation-based models to predict system behavior
Validate model predictions with targeted experiments
Integration with Existing Datasets:
Leverage published S. pombe datasets (e.g., stress response, cell cycle)
Compare with data from related species (S. cerevisiae, other fungi)
Use data mining to identify patterns across multiple studies
Apply machine learning approaches to predict functional relationships
Visualization and Analysis Tools:
Cytoscape for network visualization and analysis
R/Bioconductor packages for omics data integration
KEGG and BioCyc for metabolic pathway mapping
STRING and BioGRID for protein interaction data
Emerging high-throughput applications include:
Reverse Phase Protein Arrays (RPPA):
Spot lysates from multiple conditions/strains on nitrocellulose slides
Probe with SPAC6B12.04c antibody to determine protein levels
Analyze hundreds of samples simultaneously
Quantify expression changes across diverse conditions
Automated Immunofluorescence:
Use high-content imaging systems to analyze SPAC6B12.04c localization
Screen genetic or chemical libraries for effects on localization
Quantify changes in subcellular distribution
Correlate with phenotypic readouts
Microfluidic Approaches:
Integrate antibody-based detection with microfluidic cell culture
Monitor real-time changes in protein levels or localization
Combined with live-cell imaging for dynamic studies
Analyze single-cell variation in protein expression
CRISPR Screens:
Combine genome-wide CRISPR screens with SPAC6B12.04c antibody detection
Identify genes affecting SPAC6B12.04c levels or localization
Use fluorescence-activated cell sorting (FACS) for high-throughput selection
Sequence sgRNA abundance to identify genetic interactions
Future Technological Developments:
Single-cell proteomics applications
In situ proximity ligation assays for protein interaction mapping
Multiplexed antibody detection using bar-coded antibodies
Integration with spatial transcriptomics for comprehensive cellular analysis
Essential resources for SPAC6B12.04c research include:
Antibody Sources:
S. pombe Resources:
PomBase (https://www.pombase.org/) - Comprehensive S. pombe database
Genome-wide deletion mutant collections
ORFeome collections for protein expression
Strain repositories: National BioResource Project (NBRP), Yeast Genetic Resource Center (YGRC)
Experimental Protocols:
Bioinformatics Tools:
BLAST and HMMER for sequence analysis and homology identification
STRING and BioGRID for interaction networks
KEGG and BioCyc for metabolic pathway mapping
PantherDB and InterPro for functional annotation
Establishing reliable controls is critical:
Positive Controls:
Wild-type S. pombe lysate with known expression levels
Recombinant SPAC6B12.04c protein (if available)
Epitope-tagged SPAC6B12.04c strains as reference standards
Negative Controls:
SPAC6B12.04c deletion strain lysate
Isotype control antibody (same species, same isotype)
Secondary antibody-only controls
Pre-immune serum controls
Experimental Standards:
Establish antibody titration curves for each application
Create standard curves for quantitative applications
Document batch-to-batch variations in antibody performance
Implement consistent protocols for sample preparation
Validation Approaches:
Confirm specificity using Western blotting
Verify detection of GFP-tagged or epitope-tagged proteins
Demonstrate signal reduction in depletion experiments
Cross-validate findings with orthogonal methods
Documentation Practices:
Maintain detailed records of antibody source, lot number, and dilutions
Document optimization experiments and results
Record any modifications to standard protocols
Share validation data with laboratory members