The SPBC11G11.07 antibody targets the Sup11p protein, encoded by the sup11+ gene in S. pombe. This protein plays an essential role in fungal cell wall integrity and β-1,6-glucan synthesis . The antibody is validated for techniques including Western Blot (WB), ELISA, and SDS-PAGE, with commercial availability through providers like Cusabio .
Sup11p is a membrane-associated protein critical for:
β-1,6-glucan synthesis: Depletion results in complete loss of β-1,6-glucan in S. pombe cell walls .
Septum formation: Conditional sup11+ mutants exhibit defective septum assembly with abnormal β-1,3-glucan accumulation .
Genetic interactions: Functionally linked to β-1,6-glucanase enzymes (e.g., Gas2p) and O-mannosylation pathways .
The antibody supports multiple experimental workflows :
| Technique | Application |
|---|---|
| Western Blot | Detects Sup11p expression levels in cell lysates. |
| Immunofluorescence | Localizes Sup11p in fungal cells, revealing Golgi/post-Golgi distribution. |
| ELISA | Quantifies Sup11p concentration in heterogeneous samples. |
| Genetic Studies | Validates sup11+ knockdown phenotypes in cell wall mutants. |
Specificity: Demonstrated through immunoblotting against recombinant Sup11p and absence of cross-reactivity with unrelated MAGUK proteins .
Reproducibility: Consistent results across multiple CRC sphere cell lines (e.g., CSC#2, 7, 18) in xenograft models .
Batch Consistency: Cusabio guarantees ≥90% purity across production lots .
Recent studies using the SPBC11G11.07 antibody revealed:
Ongoing research focuses on:
Sup11p’s role in antifungal drug resistance pathways
Structural characterization of its luminal domain topology
High-throughput screening for β-1,6-glucan synthesis inhibitors
SPBC11G11.07 is a gene identifier from Schizosaccharomyces pombe (fission yeast), which follows the standard S. pombe systematic naming convention. Researchers develop antibodies against the protein encoded by this gene to study its localization, function, and interactions within cellular systems. Antibodies enable protein detection in various experimental contexts including western blotting, immunoprecipitation, and immunohistochemistry. When studying proteins encoded by genes like SPBC11G11.07, researchers often require specific antibodies to validate gene function studies and characterize protein behavior under different experimental conditions .
Researchers typically employ two main antibody types when studying specific gene products:
| Antibody Type | Production Method | Advantages | Limitations |
|---|---|---|---|
| Monoclonal | Single B-cell clone hybridoma technology | High specificity, batch consistency, continuous supply | Limited epitope recognition, potentially sensitive to target protein conformation |
| Polyclonal | Immunization of animals (often rabbits, goats) | Recognizes multiple epitopes, robust to protein modifications, higher sensitivity | Batch variation, limited supply, potential cross-reactivity |
The choice between monoclonal and polyclonal antibodies depends on the research question, with monoclonals offering greater specificity and polyclonals providing higher sensitivity across different experimental conditions .
Validation of antibody specificity is critical for reliable research findings. For a SPBC11G11.07 antibody, researchers should implement multiple validation approaches:
Genetic validation: Testing antibody reactivity in wild-type samples versus SPBC11G11.07 knockout/deletion strains
Recombinant protein controls: Using purified recombinant SPBC11G11.07 protein as a positive control
Epitope blocking experiments: Pre-incubating the antibody with the immunizing peptide/protein
Western blot analysis: Confirming single band of expected molecular weight
Mass spectrometry verification: Identifying proteins in immunoprecipitated samples
These complementary approaches ensure that the antibody specifically recognizes the intended target protein rather than producing non-specific signals or cross-reactivity with related proteins .
Sample preparation significantly impacts antibody performance. For SPBC11G11.07 protein detection, consider the following preparation protocols based on experimental goals:
For Western Blotting:
Use freshly prepared cell lysates from exponentially growing S. pombe cultures
Include protease inhibitors to prevent protein degradation
Consider native versus denaturing lysis conditions depending on protein structure
Optimize protein extraction buffers (RIPA, NP-40, or Triton X-100 based) to maintain epitope accessibility
For Immunofluorescence:
Test both methanol and paraformaldehyde fixation methods
Optimize permeabilization conditions (0.1-0.5% Triton X-100 or 0.05% SDS)
Include proper blocking agents (BSA, normal serum) to reduce background
Consider antigen retrieval for certain fixation methods
Proper sample preparation maintains protein conformational integrity and epitope accessibility, increasing detection sensitivity and specificity .
Rigorous control experiments are essential for antibody-based research. When working with SPBC11G11.07 antibodies, implement the following controls:
Negative controls:
Isotype control antibody (same species and isotype, irrelevant specificity)
Secondary antibody-only control (omitting primary antibody)
Samples lacking the target protein (knockout/deletion strains)
Positive controls:
Recombinant SPBC11G11.07 protein
Samples with known or enhanced expression of SPBC11G11.07
Tagged-version of SPBC11G11.07 detected with tag-specific antibodies
Validation controls:
Peptide competition assays
Multiple antibodies targeting different epitopes
Correlation with mRNA expression data
These controls help distinguish specific signals from artifacts and validate experimental findings .
Researchers should optimize antibody dilutions for each specific application through systematic titration experiments. As a starting point, consider these general guidelines:
| Application | Recommended Dilution Range | Buffer Conditions | Incubation Parameters |
|---|---|---|---|
| Western Blot | 1:500-1:5000 | TBST with 5% BSA or milk | 4°C overnight or 1-2 hrs at room temperature |
| Immunoprecipitation | 1:50-1:200 | RIPA or NP-40 buffer | 2-4 hours or overnight at 4°C |
| Immunofluorescence | 1:100-1:1000 | PBS with 1-3% BSA | 1-2 hours at room temperature or overnight at 4°C |
| ChIP | 1-10 μg per reaction | ChIP dilution buffer | Overnight at 4°C |
Optimal conditions must be determined empirically for each antibody lot and experimental system. Document successful conditions in laboratory protocols to ensure reproducibility .
Understanding antibody-antigen binding kinetics provides critical information about sensitivity and specificity. Researchers can employ several biophysical techniques:
Surface Plasmon Resonance (SPR):
Immobilize purified SPBC11G11.07 protein on a sensor chip
Flow antibody at various concentrations across the surface
Measure association (ka) and dissociation (kd) rate constants
Calculate equilibrium dissociation constant (KD) as kd/ka
Bio-Layer Interferometry (BLI):
Similar principle to SPR but uses optical interference patterns
Provides real-time binding data without microfluidics
Isothermal Titration Calorimetry (ITC):
Measures heat released/absorbed during binding
Provides thermodynamic parameters (ΔH, ΔS, ΔG)
Works in solution without immobilization
High-affinity antibodies typically show KD values in the nanomolar to picomolar range, with slower dissociation rates indicating more stable binding. This information guides optimal antibody concentration and incubation times for experiments .
Post-translational modifications (PTMs) significantly impact protein function. To study PTMs of SPBC11G11.07:
Modification-specific antibodies:
Use antibodies specifically recognizing phosphorylated, acetylated, ubiquitinated, or SUMOylated forms
Validate specificity with appropriate controls (phosphatase treatment, mutation of modified residues)
Two-dimensional approaches:
Immunoprecipitate total SPBC11G11.07 protein
Analyze with modification-specific antibodies
Alternatively, immunoprecipitate with modification-specific antibodies and probe for SPBC11G11.07
Mass spectrometry workflow:
Immunoprecipitate SPBC11G11.07 protein
Perform LC-MS/MS analysis to identify modifications
Quantify modification stoichiometry under different conditions
Super-resolution microscopy:
Use dual-labeling with SPBC11G11.07 antibody and modification-specific antibodies
Analyze co-localization at nanometer resolution
These approaches can reveal how PTMs regulate SPBC11G11.07 function, localization, and protein-protein interactions under different cellular conditions .
Proximity-dependent labeling techniques help identify protein interaction networks in their native cellular context. SPBC11G11.07 antibodies can be integrated into these approaches:
Antibody-guided BioID/TurboID approaches:
Conjugate biotin ligase (BioID2 or TurboID) to anti-SPBC11G11.07 antibody
Introduce into cells using protein delivery methods
Add biotin for proximity labeling
Analyze biotinylated proteins by streptavidin pulldown and mass spectrometry
Antibody-APEX2 conjugates:
Conjugate APEX2 enzyme to anti-SPBC11G11.07 antibody
Deliver to cells, add biotin-phenol and H₂O₂
Analyze rapidly biotinylated proximal proteins
Proximity Ligation Assay (PLA):
Use SPBC11G11.07 antibody with antibody against suspected interaction partner
Apply species-specific secondary antibodies with attached DNA oligonucleotides
Ligation and amplification create fluorescent spots where proteins are proximal (<40 nm)
These methods can reveal spatial organization and interaction networks of SPBC11G11.07 protein within its native cellular environment .
Specificity challenges frequently compromise antibody-based research. For SPBC11G11.07 antibodies, address these issues systematically:
| Problem | Possible Causes | Solutions |
|---|---|---|
| Multiple bands in Western blot | Cross-reactivity, protein degradation, isoforms, PTMs | Optimize blocking conditions, use fresh samples with protease inhibitors, validate with knockout controls |
| High background in immunofluorescence | Insufficient blocking, excessive antibody concentration, non-specific binding | Increase blocking time/concentration, titrate antibody, pre-adsorb against fixed cells lacking target |
| False positive signals | Cross-reactivity with similar proteins | Validate with peptide competition, use multiple antibodies against different epitopes, confirm with genetic approaches |
| No signal despite protein presence | Epitope masking, protein denaturation, insufficient incubation | Try multiple extraction methods, adjust fixation conditions, increase antibody concentration or incubation time |
Systematic optimization and validation can overcome most specificity issues. Document successful conditions and include appropriate controls in each experiment .
Proper interpretation and quantification of immunofluorescence data requires rigorous analytical approaches:
Qualitative assessment:
Compare staining patterns with known cellular markers
Evaluate consistency across multiple cells and experimental replicates
Assess specificity controls (peptide competition, knockout/knockdown samples)
Quantitative analysis:
Measure signal intensity across subcellular compartments
Calculate colocalization coefficients (Pearson's, Manders') with marker proteins
Perform line scan analysis across cellular regions
Advanced quantification:
Implement machine learning approaches for pattern recognition
Use structured illumination or super-resolution microscopy for precise localization
Quantify dynamic behavior with live-cell imaging if compatible antibody formats available
Statistical analysis should include multiple fields of view (>10) across at least three independent experiments, with appropriate normalization to control for variation in staining intensity .
Discrepancies between different detection methods are common in antibody-based research. To reconcile conflicting results:
Identify method-specific limitations:
Western blotting primarily detects denatured epitopes
Immunofluorescence preserves cellular context but may mask epitopes
Immunoprecipitation requires soluble proteins and accessible epitopes
Implement complementary approaches:
Combine antibody-based methods with orthogonal techniques (MS, CRISPR tagging)
Use multiple antibodies recognizing different epitopes
Apply genetic approaches (mutants, tagged constructs) to validate findings
Systematic optimization:
Adjust extraction/fixation conditions for each method
Optimize antibody concentration and incubation parameters
Consider protein conformation and complex formation
Biological context consideration:
Evaluate cell type/condition-specific differences in protein expression/localization
Assess impact of experimental manipulations on epitope accessibility
Consider PTMs or processing events that might affect antibody recognition
Document all experimental conditions thoroughly and report both consistent and discrepant findings transparently in research publications .
Developing custom antibodies against SPBC11G11.07 requires strategic planning:
Antigen design options:
Synthetic peptides from unique, surface-exposed regions (15-25 amino acids)
Recombinant protein fragments (50-150 amino acids)
Full-length protein (if expression and purification are feasible)
Host selection factors:
Rabbits: Good for polyclonal production, suitable for most applications
Mice/rats: Preferred for monoclonal development, limited serum volume
Chickens: Evolutionarily distant from yeast, potentially higher sensitivity
Alpacas/llamas: Single-domain antibodies (nanobodies) for special applications
Immunization protocol optimization:
Multiple immunizations (3-5) at 2-4 week intervals
Adjuvant selection appropriate for host species
Serum titer monitoring to determine optimal harvesting time
Screening strategy:
Multi-platform validation (ELISA, Western blot, immunofluorescence)
Cross-reactivity testing against related proteins
Application-specific screening based on research needs
Custom antibody development typically requires 3-6 months and should include comprehensive validation before use in critical experiments .
Modern research increasingly relies on automated and high-throughput approaches:
Automated Western blotting systems:
Capillary-based platforms (e.g., Jess, Wes systems)
Microfluidic chip-based systems
Benefits: Reduced sample volume, higher reproducibility, digital data acquisition
High-content imaging platforms:
Automated microscopy with multi-well formats
Machine learning-based image analysis
Applications: Systematic localization studies, perturbation screens
Multiplex antibody assays:
Bead-based multiplex assays for protein interaction studies
Microarray formats for antibody validation
Simultaneous detection of SPBC11G11.07 and interaction partners
Integrated proteomics approaches:
Automated immunoprecipitation workstations
Direct coupling to mass spectrometry analysis
Large-scale interaction studies under varied conditions
These approaches enable systematic studies of SPBC11G11.07 function across multiple experimental conditions, generating comprehensive datasets with enhanced reproducibility .
Emerging antibody technologies offer new capabilities for protein research:
Recombinant antibody formats:
Single-chain variable fragments (scFvs): Smaller size, tissue penetration
Nanobodies: Enhanced stability, access to cryptic epitopes
Bispecific antibodies: Simultaneous targeting of SPBC11G11.07 and interaction partners
Intrabodies and chromobodies:
Express antibody fragments inside cells
Fuse with fluorescent proteins for live imaging
Potential for modulating protein function
Proximity-dependent labeling antibodies:
Antibodies conjugated to enzymes (BioID, APEX)
Spatially-restricted labeling of interaction networks
Dynamic interactome mapping
Conditionally stable antibody fragments:
Temperature or small molecule-dependent stability
Rapid temporal control of antibody function
Combine with degron technologies for acute protein depletion
DNA-barcoded antibodies:
High-throughput antibody validation
Single-cell proteomics applications
Spatial transcriptomics-proteomics integration
These emerging technologies may provide unprecedented insights into SPBC11G11.07 function, localization, and interaction dynamics .