KEGG: spo:SPBPB2B2.07c
STRING: 4896.SPBPB2B2.07c.1
SPBPB2B2.07c is a gene identifier in Schizosaccharomyces pombe (fission yeast) that codes for a specific protein. Understanding this protein's function is significant for dissecting cellular pathways in this model organism. Fission yeast serves as an excellent model for studying fundamental cellular processes due to its genetic tractability and conservation of many cellular mechanisms with higher eukaryotes, including humans . Antibodies against SPBPB2B2.07c allow researchers to study protein expression, localization, and interactions within signaling pathways, particularly when investigating cellular responses to environmental changes such as nutrient availability.
Antibodies against S. pombe proteins, including SPBPB2B2.07c, are typically generated through several approaches:
Recombinant protein expression: The coding sequence is amplified using PCR with specifically designed primers containing appropriate restriction sites. For example, as demonstrated with Rhb1 protein, researchers use primers with restriction sites (like BamHI and SalI) to amplify the target gene .
Protein purification: The amplified sequence is cloned into expression vectors (such as His-tag vectors) and expressed in E. coli. The tagged protein is then purified using affinity chromatography .
Immunization: The purified protein is used to raise polyclonal antibodies in animals. For monoclonal antibodies, a more sophisticated approach involving hybridoma technology is typically employed .
Similar approaches would be applicable for generating antibodies against SPBPB2B2.07c protein.
Validating a newly developed antibody against SPBPB2B2.07c requires multiple approaches to ensure specificity and sensitivity:
Western blot analysis: Testing the antibody against wild-type yeast extracts versus knockout strains lacking SPBPB2B2.07c. A specific antibody should show a band of the expected molecular weight in wild-type samples but not in the knockout .
Immunoprecipitation: Determining if the antibody can pull down the target protein from yeast cell lysates, which can be confirmed by mass spectrometry.
Immunofluorescence: Examining if the antibody produces expected cellular localization patterns consistent with predicted function of SPBPB2B2.07c.
Cross-reactivity testing: Assessing potential cross-reactivity with other proteins, particularly those with similar sequences. This is critical as antibodies can sometimes display unexpected cross-reactivity, as seen with SARS-CoV-2 antibodies that cross-react with gut bacteria .
When designing experiments with SPBPB2B2.07c antibody, multiple controls should be incorporated:
Genetic controls: Whenever possible, include both wild-type strains and SPBPB2B2.07c knockout or deletion mutants. The antibody should produce signals in wild-type samples but not in knockout samples.
Epitope-tagged variants: Consider creating strains expressing epitope-tagged versions of SPBPB2B2.07c (e.g., HA-tagged protein) as positive controls that can be detected with commercial anti-epitope antibodies . This approach was successfully used with Rhb1 in fission yeast, where HA-tagging facilitated biochemical analysis .
Preimmune serum controls: For polyclonal antibodies, including preimmune serum controls helps distinguish specific from non-specific signals.
Loading controls: When performing Western blots, use established antibodies against housekeeping proteins (such as TAT-1 antibody against α-tubulin) as loading controls to normalize protein levels across samples .
Competitive binding assays: To verify epitope specificity, perform competition experiments with purified SPBPB2B2.07c protein.
For optimal immunoprecipitation of SPBPB2B2.07c and its interacting partners:
Cell lysis conditions: Use gentle lysis buffers (e.g., 50mM Tris-HCl pH 7.5, 150mM NaCl, 0.5% NP-40 with protease inhibitors) to preserve protein-protein interactions. Conditions may need optimization based on the expected strength of interactions.
Antibody coupling: Consider covalently coupling the SPBPB2B2.07c antibody to Protein A/G beads to prevent antibody co-elution during analysis.
Cross-linking approach: For transient or weak interactions, chemical cross-linking prior to cell lysis may be necessary.
Sequential immunoprecipitation: For complex interaction networks, sequential immunoprecipitation using antibodies against SPBPB2B2.07c and its suspected interaction partners can provide stronger evidence for direct interactions.
Control immunoprecipitations: Include IgG controls and immunoprecipitation from knockout strains to identify non-specific binding proteins.
The resulting immunoprecipitates should be analyzed by western blot and/or mass spectrometry to identify interaction partners, similar to approaches used for analyzing protein complexes in fission yeast signaling pathways .
To investigate SPBPB2B2.07c protein dynamics during cell cycle:
Synchronization protocols: Utilize nitrogen starvation and release protocols to synchronize fission yeast cells at specific cell cycle stages . Sample cells at scheduled time points after shifting to nitrogen-depleted media, which arrests cell cycle and prepares cells for conjugation.
Fixed cell analysis: Collect samples at defined intervals, fix cells, and analyze SPBPB2B2.07c expression and modification by western blotting using the antibody .
Phosphorylation analysis: If SPBPB2B2.07c is suspected to be regulated by phosphorylation, use both the general antibody and phospho-specific antibodies (if available) to track its modification status throughout the cell cycle, similar to phospho-Spk1 detection approaches .
Co-immunofluorescence: Combine SPBPB2B2.07c antibody with markers of cell cycle stages to correlate protein localization with specific phases.
Quantitative analysis: Employ quantitative western blotting or fluorescence intensity measurements to generate precise temporal profiles of SPBPB2B2.07c abundance and modifications.
For optimal immunofluorescence detection of SPBPB2B2.07c:
When facing inconsistent western blot results with SPBPB2B2.07c antibody:
Sample preparation optimization:
Test different lysis buffers (varying detergent types and concentrations)
Include additional protease inhibitors to prevent degradation
Use freshly prepared samples whenever possible
Protein denaturation conditions:
Compare reducing versus non-reducing conditions
Test different sample heating times and temperatures (70°C vs. 95°C)
Some epitopes may be sensitive to excessive heating
Transfer parameters:
Optimize transfer time and voltage for proteins of SPBPB2B2.07c's molecular weight
Consider using PVDF membranes instead of nitrocellulose for better protein retention
Wet transfer may yield better results than semi-dry for certain applications
Blocking and antibody incubation:
Test alternative blocking agents (milk vs. BSA)
Optimize antibody dilution and incubation time/temperature
Consider adding 0.1% Tween-20 to reduce background
Epitope accessibility assessment:
Different extraction methods might expose the epitope differently
If the antibody was raised against a denatured protein, native conditions may not work well
Signal detection optimization:
Compare different detection systems (ECL vs. fluorescent secondary antibodies)
Adjust exposure times to find optimal signal-to-noise ratio
To map the exact epitope recognized by an SPBPB2B2.07c antibody:
Peptide array analysis:
Synthesize overlapping peptides (12-15 amino acids) spanning the SPBPB2B2.07c sequence
Screen the peptide array with the antibody to identify reactive peptides
Similar approaches have been used to identify antibody epitopes, as demonstrated in the study of SARS-CoV-2 S2 protein where a dominant epitope (P144) was identified
Deletion and point mutation analysis:
Generate a series of truncated versions of SPBPB2B2.07c
Create point mutations in suspected epitope regions
Test antibody reactivity against these variants through western blotting
Competition assays:
Hydrogen-deuterium exchange mass spectrometry:
Analyze protein-antibody complexes to identify protected regions
This provides structural information about the epitope
X-ray crystallography or cryo-EM:
For definitive epitope mapping, solve the structure of the antibody-antigen complex
This provides atomic-level resolution of the interaction
For robust quantitative analysis of SPBPB2B2.07c protein levels:
Loading control selection:
Use established housekeeping proteins such as α-tubulin (detected with TAT-1 antibody) , GAPDH, or actin
Consider loading controls with molecular weights different from SPBPB2B2.07c to avoid signal overlap
Total protein staining methods (e.g., REVERT or Ponceau S) may provide more linear normalization
Linear dynamic range determination:
Create a standard curve using recombinant SPBPB2B2.07c protein or serial dilutions of a positive control sample
Ensure all experimental measurements fall within the linear range of detection
Adjust exposure times accordingly
Statistical approaches:
Perform at least three biological replicates for statistical validity
Calculate relative expression as the ratio of SPBPB2B2.07c signal to loading control
Apply appropriate statistical tests (t-test, ANOVA) for comparing conditions
Software tools:
Use specialized image analysis software (ImageJ, ImageLab, etc.) for densitometry
Apply consistent background subtraction methods across all samples
Consider using fluorescent secondary antibodies for more linear quantification
Reporting standards:
Always include representative blot images along with quantification
Report both raw and normalized values when possible
Include error bars representing standard deviation or standard error
When facing discrepancies between different experimental approaches:
Epitope accessibility considerations:
The antibody epitope may be differentially accessible in fixed cells versus denatured samples
Try different fixation methods for immunofluorescence
Consider using multiple antibodies recognizing different regions of SPBPB2B2.07c
Expression level factors:
Immunofluorescence may detect localized concentrations invisible in whole-cell extracts
Western blotting represents an average across the entire cell population
Single-cell analysis by flow cytometry may help bridge these techniques
Post-translational modifications:
Technical validation:
Biological explanations:
Apparent contradictions may reflect actual biology (e.g., insoluble aggregates, different isoforms)
Investigate cellular conditions that might explain the discrepancy
Design experiments to specifically test hypotheses that could explain the differences
For reliable detection of low-abundance proteins:
Genetic validation:
Compare signals between wild-type and SPBPB2B2.07c knockout samples
Use overexpression systems as positive controls
Create strains with endogenous tagging of SPBPB2B2.07c for orthogonal detection
Signal enrichment strategies:
Perform immunoprecipitation before western blotting to concentrate the protein
Use subcellular fractionation to enrich for compartments where SPBPB2B2.07c is expected
Consider protein concentration methods before loading gels
Detection system optimization:
Use high-sensitivity ECL substrates or fluorescent detection systems
Implement signal amplification methods (e.g., biotin-streptavidin systems)
Increase exposure times while monitoring background increase
Cross-reactivity elimination:
Pre-absorb antibody with extracts from knockout strains
Perform peptide competition assays to confirm signal specificity
Use monoclonal antibodies which typically have higher specificity than polyclonals
Alternative verification methods:
Corroborate results with mass spectrometry-based detection
Use CRISPR-engineered fluorescent protein fusions for live-cell imaging
Implement proximity ligation assays for interaction studies with higher sensitivity
If SPBPB2B2.07c is suspected to have DNA-binding properties, ChIP-seq can be performed as follows:
Crosslinking optimization:
Test different formaldehyde concentrations (0.75-1.5%) and incubation times
For weak or transient interactions, consider using dual crosslinking with DSG followed by formaldehyde
Sonication parameters:
Optimize sonication conditions to generate DNA fragments of 200-500bp
Verify fragmentation efficiency by agarose gel electrophoresis
Immunoprecipitation protocol:
Use 2-5μg of SPBPB2B2.07c antibody per sample
Include IgG and input controls
For validation, perform parallel ChIP with epitope-tagged SPBPB2B2.07c
Washing stringency:
Determine optimal washing conditions to minimize background while maintaining signal
Consider using a washing stringency gradient in preliminary experiments
Library preparation and sequencing:
Follow standard ChIP-seq library preparation protocols
Perform paired-end sequencing for better peak calling accuracy
Analyze data using established pipelines (MACS2, Homer) for peak identification
Validation strategies:
Confirm selected binding sites by ChIP-qPCR
Perform motif analysis to identify potential binding sequences
Correlate binding sites with gene expression changes in SPBPB2B2.07c mutants
If SPBPB2B2.07c function is regulated by phosphorylation, developing phospho-specific antibodies requires:
Phosphorylation site identification:
Use mass spectrometry to identify phosphorylation sites in vivo
Consider computational prediction of potential phosphorylation sites
Focus on evolutionary conserved residues first
Phosphopeptide design:
Synthesize phosphopeptides (10-15 amino acids) containing the phosphorylated residue in the center
Include a terminal cysteine for conjugation if not naturally present
Consider using multiple phosphopeptides for complex phosphorylation patterns
Immunization strategy:
Conjugate phosphopeptides to carrier proteins (KLH or BSA)
Immunize rabbits or other suitable host animals
Use a prolonged immunization schedule for better response
Antibody purification:
Perform dual purification: first with the phosphopeptide, then with the non-phosphopeptide to remove antibodies recognizing the non-phosphorylated form
Test specificity against phosphatase-treated samples as negative controls
Validation experiments:
Test antibody against wild-type and phospho-mutant (Ser/Thr/Tyr to Ala) proteins
Verify recognition of the phosphorylated form but not the non-phosphorylated form
Confirm response to relevant kinase activation or inhibition in vivo
Similar approaches have been successfully used for developing phospho-specific antibodies against signaling proteins like Spk1 in fission yeast .
For maximal antibody longevity and activity:
Storage temperature:
Store antibody aliquots at -80°C for long-term preservation
Working aliquots can be kept at -20°C
Avoid repeated freeze-thaw cycles (limit to <5)
Aliquoting strategy:
Divide antibody into small single-use aliquots (10-50μl)
Use sterile cryovials with secure sealing
Include date of aliquoting and freeze-thaw count on labels
Buffer considerations:
For some antibodies, adding glycerol (final 30-50%) improves stability
Consider adding preservatives for working aliquots (0.02% sodium azide)
Maintain pH stability with adequate buffering capacity
Activity monitoring:
Periodically test antibody activity against known positive controls
Compare new experiments to historical data to detect potential degradation
Consider keeping a "reference aliquot" untouched for comparison
Reconstitution of lyophilized antibodies:
Use sterile techniques and recommended buffers
Allow complete dissolution at 4°C without vortexing
Centrifuge briefly before opening to collect all material
The choice between polyclonal and monoclonal antibodies impacts experimental outcomes:
Western blotting performance:
Polyclonal antibodies typically provide stronger signals by recognizing multiple epitopes
Monoclonal antibodies offer higher specificity but may be more sensitive to denaturing conditions
Monoclonals may fail if their specific epitope is masked or destroyed
Immunoprecipitation efficiency:
Polyclonal antibodies generally perform better for IP due to recognition of multiple epitopes
Monoclonal antibodies may offer cleaner IPs with less cross-reactivity
Specific monoclonal clones need to be screened for IP compatibility
Immunofluorescence characteristics:
Epitope accessibility in fixed cells may differ between antibody types
Monoclonals typically give more consistent staining patterns between batches
Polyclonals may detect multiple conformations of the protein
Batch-to-batch variability:
Polyclonal antibodies show higher batch-to-batch variation
Monoclonal antibodies provide consistent specificity across batches
Documentation of specific batches used is crucial for experimental reproducibility
Detection of modified forms:
Polyclonals may recognize various modified forms of the protein
Monoclonals are epitope-specific and may miss or selectively detect modified forms
For comprehensive studies, multiple antibodies may be required
To assess cross-reactivity with related proteins:
Bioinformatic analysis:
Identify proteins with sequence similarity to SPBPB2B2.07c
Focus on regions corresponding to the antibody epitope
Predict potential cross-reactive proteins based on epitope conservation
Genetic approach:
Test antibody against SPBPB2B2.07c knockout strains
Examine reactivity in strains overexpressing related proteins
Generate strains with multiple gene deletions to confirm specificity
Biochemical methods:
Perform western blotting with recombinant related proteins
Use peptide competition assays with peptides from related proteins
Conduct immunoprecipitation followed by mass spectrometry to identify all bound proteins
Advanced analytical techniques:
Employ surface plasmon resonance to measure binding kinetics to different proteins
Utilize protein arrays containing related proteins for cross-reactivity screening
Consider epitope mapping to determine the precise binding site
Bacterial cross-reactivity:
For high-throughput applications with SPBPB2B2.07c antibody:
Microplate-based assays:
Develop ELISA protocols using SPBPB2B2.07c antibody for detection
Optimize antibody concentration, incubation times, and blocking conditions
Validate assay performance metrics (Z-factor, signal-to-background ratio)
Automated immunofluorescence:
Adapt staining protocols for automated liquid handling systems
Develop image analysis algorithms for SPBPB2B2.07c signal quantification
Use machine learning for pattern recognition in complex phenotypes
Protein array applications:
Use SPBPB2B2.07c antibody to probe arrays containing potential interacting partners
Develop reverse-phase protein arrays to analyze SPBPB2B2.07c across multiple conditions
Include appropriate controls for specificity validation
Flow cytometry integration:
Optimize protocols for intracellular staining in fixed yeast cells
Develop multiparameter analysis including cell cycle markers
Consider using fluorescently-conjugated primary antibody for direct detection
Multiplexed detection:
Combine with other antibodies for simultaneous detection of multiple proteins
Validate absence of interference between detection systems
Use spectral unmixing for closely related fluorophores
High-throughput approaches can accelerate discovery of SPBPB2B2.07c functions and interactions across different genetic backgrounds and environmental conditions.
When developing biosensors for live monitoring of SPBPB2B2.07c:
Antibody fragment engineering:
Convert conventional antibodies to smaller formats (Fab, scFv, nanobodies)
Optimize for intracellular expression and folding
Engineer for reduced aggregation and improved stability
Cellular delivery methods:
Develop protein transduction domains for antibody fragment delivery
Consider electroporation protocols optimized for yeast
Explore liposome-based delivery systems
Detection strategies:
Implement FRET-based sensors using antibody fragments fused to fluorescent proteins
Design split-reporter complementation assays triggered by SPBPB2B2.07c binding
Develop fluorogen-activating protein tags that fluoresce upon antibody-antigen interaction
Validating sensor performance:
Confirm specificity using SPBPB2B2.07c knockout strains
Verify that sensor binding doesn't interfere with protein function
Calibrate signal to protein concentration using complementary methods
Minimizing cellular perturbation:
Optimize expression levels to avoid interference with normal function
Test sensor impact on cell growth and relevant phenotypes
Compare results with fixed-cell approaches using conventional antibodies