Antibody naming conventions typically follow standardized formats (e.g., CR3022 , 24D11 , REGN-COV2 ). The identifier "SPAC24B11.12c" does not conform to these patterns, which often include:
The identifier may contain errors. Examples of similar validated antibodies include:
| Antibody Name | Target/Application | Source |
|---|---|---|
| CR3022 | SARS-CoV-2 Spike RBD | |
| 24D11 | Carbapenem-resistant Klebsiella | |
| Bebtelovimab | SARS-CoV-2 Omicron variants |
"SPAC24B11.12c" could be an internal code for an antibody under development, not yet published or disclosed publicly. For context:
Antibodies like MBP1F5 (Nipah virus) and nirsevimab (RSV) underwent years of preclinical testing before entering clinical trials.
Verify the Identifier: Confirm the exact spelling and formatting with the original source.
Explore Patent Databases: Unpublished antibodies may appear in filings (e.g., BioNTech’s platform , ServareGMP’s Nipah mAb ).
Contact Core Facilities: Hybridoma centers (e.g., ) often catalog custom antibodies for researchers.
The absence of "SPAC24B11.12c" in indexed literature (PubMed, PMC, Frontiers) and commercial databases (e.g., The Native Antigen Company , BioNTech ) suggests it is either:
A novel, undisclosed compound.
A misreported or obsolete identifier.
KEGG: spo:SPAC24B11.12c
STRING: 4896.SPAC24B11.12c.1
SPAC24B11.12c is a protein found in Schizosaccharomyces pombe (fission yeast), specifically in strain 972 / ATCC 24843. The protein is identified by the UniProt accession number Q09891 . S. pombe is a well-established model organism in molecular and cellular biology research, particularly valued for studying cell cycle regulation, DNA repair mechanisms, and chromosome dynamics. The SPAC24B11.12c antibody has been developed specifically to target this protein for research applications in this important model organism.
The SPAC24B11.12c antibody has been validated for several research applications, primarily Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blotting (WB) . These techniques allow researchers to detect and quantify the SPAC24B11.12c protein in various experimental contexts. For Western blotting, the antibody enables identification of the antigen in complex biological samples, making it a valuable tool for studying protein expression, modification states, and molecular weight verification. For ELISA applications, the antibody facilitates quantitative analysis of protein levels across different experimental conditions.
For maintaining optimal reactivity and stability, the SPAC24B11.12c antibody should be stored at -20°C or -80°C upon receipt . Repeated freeze-thaw cycles should be avoided as they can compromise antibody functionality through protein denaturation and aggregation. The antibody is supplied in a liquid form with a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative . This formulation helps maintain stability during storage while preventing microbial contamination. For working solutions, storage at 4°C for up to one week is generally acceptable, but longer-term storage requires returning to freezing conditions.
The SPAC24B11.12c antibody is a polyclonal antibody raised in rabbits immunized with recombinant Schizosaccharomyces pombe (strain 972 / ATCC 24843) SPAC24B11.12c protein . After immunization and serum collection, the antibody undergoes antigen affinity purification , which selectively isolates antibodies that specifically bind to the SPAC24B11.12c protein. This purification method enhances specificity by removing antibodies that might cross-react with other proteins, thus reducing background signal in experimental applications. The resulting polyclonal preparation contains antibodies recognizing multiple epitopes on the target protein, which can provide robust detection across different experimental conditions.
Validating antibody specificity is crucial for ensuring reliable experimental results. For SPAC24B11.12c antibody, multiple complementary approaches should be considered:
Genetic validation: Using SPAC24B11.12c deletion strains as negative controls in Western blot or immunofluorescence experiments. The absence of signal in these strains would confirm antibody specificity.
Recombinant protein controls: Testing the antibody against purified recombinant SPAC24B11.12c protein alongside other S. pombe proteins to assess cross-reactivity.
Epitope mapping: Determining the specific region of SPAC24B11.12c recognized by the antibody to predict potential cross-reactivity with related proteins.
Preabsorption controls: Pre-incubating the antibody with excess recombinant SPAC24B11.12c before immunostaining or Western blotting. This should eliminate specific signals if the antibody is truly specific.
Mass spectrometry validation: Performing immunoprecipitation followed by mass spectrometry to identify all proteins captured by the antibody, confirming SPAC24B11.12c as the primary target.
The POMBOX molecular cloning toolkit facilitates fast, efficient, and modular construction of genetic circuits in S. pombe . Integrating SPAC24B11.12c antibody with this toolkit offers several research advantages:
Expression verification: The antibody can be used to confirm successful expression of SPAC24B11.12c fusion proteins or modified variants generated using the POMBOX toolkit.
Quantitative analysis: When combining genetic modifications made with POMBOX, the antibody enables quantification of SPAC24B11.12c expression levels under different genetic constructs or conditions.
Localization studies: By using the antibody in immunofluorescence microscopy, researchers can determine the subcellular localization of native or modified SPAC24B11.12c protein in strains engineered with POMBOX.
Protein-protein interaction verification: In synthetic biology applications, the antibody can help validate new protein-protein interactions designed through POMBOX genetic circuits by co-immunoprecipitation followed by Western blotting.
Pathway analysis: When POMBOX is used to manipulate metabolic pathways, such as those producing methylxanthine, amorpha-4,11-diene, or cinnamic acid , the antibody can help track SPAC24B11.12c involvement in these engineered pathways.
Inconsistent Western blot results can stem from multiple factors. Consider these methodological solutions:
Sample preparation optimization:
Ensure complete cell lysis using appropriate buffers for yeast cells (containing zymolyase or mechanical disruption)
Include protease inhibitors to prevent protein degradation
Standardize protein quantification methods and loading amounts
Blocking and washing optimization:
Test different blocking agents (BSA vs. non-fat dry milk) at varying concentrations
Increase washing duration or detergent concentration to reduce background
Optimize antibody dilution (typically starting at 1:1000 and adjusting as needed)
Transfer efficiency verification:
Confirm protein transfer using reversible staining methods like Ponceau S
Adjust transfer conditions (time, voltage, buffer composition) for the molecular weight of SPAC24B11.12c
Detection system evaluation:
Compare chemiluminescent, fluorescent, and colorimetric detection methods
Ensure secondary antibody compatibility and freshness
Optimize exposure times or scanner settings
Antibody handling assessment:
Avoid repeated freeze-thaw cycles
Prepare fresh working dilutions for each experiment
Add sodium azide (0.02%) to antibody dilutions for extended storage
Optimizing immunoprecipitation (IP) with SPAC24B11.12c antibody requires careful consideration of experimental conditions:
Lysate preparation:
Use gentle lysis buffers that preserve protein-protein interactions (e.g., 20mM HEPES pH 7.4, 150mM NaCl, 0.5% NP-40)
Include appropriate protease and phosphatase inhibitors
Optimize cell disruption methods specific for S. pombe's rigid cell wall
Antibody coupling strategies:
Direct coupling to protein A/G beads versus pre-forming antibody-antigen complexes
Covalent cross-linking of antibody to beads to prevent antibody contamination in eluates
Determining optimal antibody-to-bead ratio (typically 2-10 μg antibody per 50 μl bead slurry)
Washing conditions:
Balance stringency (to reduce non-specific binding) with maintaining genuine interactions
Consider sequential washes with decreasing salt concentrations
Test detergent types and concentrations (RIPA versus milder NP-40 or Triton X-100)
Elution methods:
Compare competitive elution with epitope peptides versus denaturing conditions
Evaluate low-pH glycine buffers versus SDS sample buffer for elution efficiency
Consider on-bead digestion for direct mass spectrometry analysis
Controls:
Include IgG isotype controls from non-immunized rabbits
Perform IPs in SPAC24B11.12c deletion strains
Use blocking peptides to confirm specificity
Studying protein dynamics throughout the cell cycle requires integrating multiple approaches:
Synchronization methods:
Comparing nitrogen starvation, hydroxyurea block, and temperature-sensitive cdc mutants
Evaluating the impact of synchronization method on SPAC24B11.12c expression or modification
Optimizing sampling intervals based on S. pombe cell cycle duration (2-4 hours)
Time-course experimental design:
Protein level quantification at defined intervals (typically 15-30 minutes)
Parallel sampling for RNA extraction to correlate transcription with protein levels
Live-cell imaging with tagged constructs to complement antibody-based fixed-cell approaches
Cell cycle markers:
Co-immunostaining with known cell cycle phase markers
DNA content analysis by flow cytometry
Morphological assessment of septation index
Quantification approaches:
Western blot densitometry with normalization to loading controls
Single-cell analysis by immunofluorescence to capture cell-to-cell variation
Application of statistical methods appropriate for time-series data
Perturbation studies:
Effect of cell cycle inhibitors on SPAC24B11.12c levels or localization
Response to DNA damage or replication stress
Genetic interactions with key cell cycle regulators
Table 1: Sample collection timing for S. pombe cell cycle analysis
| Cell Cycle Phase | Time after Synchronization | Key Markers | SPAC24B11.12c Analysis Methods |
|---|---|---|---|
| G1 | 0-60 min | Low Cdc2 activity | Western blot, IF microscopy |
| S | 60-120 min | DNA synthesis, PCNA foci | ChIP-seq, Western blot |
| G2 | 120-210 min | 2C DNA content | Immunoprecipitation, IF |
| M | 210-240 min | Spindle formation, Cdc13 degradation | Live imaging, Western blot |
Integrating antibody-based methods with quantitative proteomics requires specific considerations:
Immunoprecipitation-mass spectrometry (IP-MS):
Optimizing antibody coupling to beads to minimize contamination
Incorporating SILAC or TMT labeling for quantitative comparisons
Developing appropriate negative controls for background subtraction
Sample preparation optimization:
Evaluating different extraction methods for maximum protein recovery
Determining compatible detergents for both antibody binding and MS analysis
Developing fractionation strategies for complex samples
Data acquisition approaches:
Selecting between data-dependent and data-independent acquisition methods
Optimizing MS parameters for SPAC24B11.12c peptide detection
Developing targeted methods for specific SPAC24B11.12c peptides
Quantification strategies:
Label-free versus isotope labeling approaches
Absolute quantification using synthesized peptide standards
Statistical methods for determining significant changes
Validation of results:
Orthogonal verification of key findings with alternative methods
Biological replication requirements for statistical confidence
Integration with other proteomics datasets
The POMBOX toolkit enables construction of complex genetic circuits in S. pombe . The SPAC24B11.12c antibody can be strategically incorporated into synthetic biology workflows:
Circuit characterization:
Quantifying expression levels of SPAC24B11.12c fusions in synthetic circuits
Assessing protein stability under different induction conditions
Correlating protein levels with circuit output metrics
Metabolic engineering applications:
Localization engineering:
Verifying subcellular targeting of SPAC24B11.12c fusion proteins
Assessing the impact of localization signals on protein function
Quantifying protein distribution across cellular compartments
Protein modification analysis:
Detecting post-translational modifications in engineered variants
Assessing the impact of mutations on protein stability
Comparing expression levels between wild-type and engineered forms
Strain validation:
Confirming genetic modifications through protein expression verification
Assessing variability in expression across clonal populations
Monitoring expression stability over multiple generations
Discrepancies between protein and mRNA levels are common and can provide biological insights:
Technical considerations:
Antibody specificity verification with appropriate controls
Assessing detection sensitivity limits relative to transcript abundance
Evaluating extraction efficiency for different sample types
Biological explanations:
Post-transcriptional regulation mechanisms (miRNA, RNA binding proteins)
Protein stability and degradation pathway activity
Translational efficiency differences across conditions
Experimental follow-up approaches:
Polysome profiling to assess translational status
Protein degradation rate measurement with cycloheximide chase
Assessment of post-translational modifications affecting antibody recognition
Computational integration:
Temporal analysis accounting for delays between transcription and translation
Mathematical modeling of protein production and degradation rates
Multi-omics data integration approaches
Experimental design improvements:
Time-course analysis with higher temporal resolution
Subcellular fractionation to identify sequestered protein pools
Analysis of protein complex formation affecting epitope accessibility
Establishing robust quality control procedures ensures reproducibility:
Antibody performance tracking:
Lot-to-lot variation monitoring with standard samples
Sensitivity drift assessment over time
Periodic specificity confirmation with knockout controls
Quantitative standards:
Inclusion of calibration curves in every experiment
Use of consistent positive and negative controls
Internal reference samples across experimental batches
Technical parameters:
Signal-to-noise ratio documentation
Dynamic range verification
Lower limit of detection determination
Documentation requirements:
Detailed protocol recording including all buffer compositions
Image acquisition settings for microscopy or blot imaging
Raw data preservation for reanalysis
Statistical approaches:
Power analysis for sample size determination
Appropriate statistical tests for different data types
Multiple testing correction for large-scale experiments
Multi-omics integration enhances biological insights:
Correlation analysis approaches:
Timepoint matching between protein, transcript, and metabolite data
Accounting for temporal delays in biological processes
Statistical methods for multi-dimensional data correlation
Network reconstruction:
Integration of protein-protein interaction data with expression changes
Pathway enrichment analysis incorporating antibody-derived data
Causal network inference combining multiple data types
Data normalization considerations:
Platform-specific normalization before integration
Batch effect correction across experiments
Transformation approaches for combining disparate data types
Visualization strategies:
Multi-omics data overlays on pathway maps
Heatmap clustering with multiple data types
Dimension reduction techniques for integrated datasets
Validation approaches:
Hypothesis testing based on integrated models
Targeted experiments to confirm computationally derived relationships
Independent data collection for model validation
Comparing antibody-based detection with epitope tagging provides complementary insights:
Advantages of SPAC24B11.12c antibody approach:
Detects native protein without genetic modification
Avoids potential artifacts from protein tagging
Compatible with natural promoter regulation
Detects both endogenous and ectopically expressed protein
Advantages of epitope tagging:
Highly specific detection with validated tag antibodies
Consistent performance across different proteins
Enables purification with standardized protocols
Facilitates multiplexing with different tags
Experimental design considerations:
Using both approaches as complementary validation
Confirming tag impact on protein function
Determining whether the antibody recognizes the tagged version
Method selection criteria:
Research question specificity
Available genetic tools and expertise
Required sensitivity and specificity
Downstream application compatibility
Combined approach strategies:
Validation of SPAC24B11.12c antibody using tagged strains
Using tag antibodies as positive controls
Dual detection for quantification confidence