KEGG: spo:SPBC23E6.02
STRING: 4896.SPBC23E6.02.1
SPBC23E6.02 Antibody targets a protein found in Schizosaccharomyces pombe (fission yeast), specifically strain 972/24843. This antibody is related to SPBC23E6.01c, which recognizes an RNA-binding protein involved in mRNA processing . The SPBC23E6.02 protein likely shares functional characteristics with other proteins in this family, participating in RNA metabolism pathways critical for gene expression regulation in S. pombe.
Similar to other research antibodies, SPBC23E6.02 Antibody belongs to the immunoglobulin superfamily of proteins that specifically recognize and bind to target antigens . The antibody contains variable domains with hypervariable regions that form complementarity-determining regions (CDRs), which determine binding specificity to the SPBC23E6.02 epitope .
For maintaining optimal activity of SPBC23E6.02 Antibody, researchers should follow these evidence-based storage protocols:
Short-term storage (1-2 weeks): Store at 4°C with preservatives such as sodium azide (0.02%) to prevent microbial contamination.
Long-term storage: Aliquot and store at -20°C or -80°C to avoid repeated freeze-thaw cycles, which can significantly reduce antibody activity.
Working dilutions: Prepare fresh working dilutions on the day of experiments, as diluted antibodies lose activity more rapidly.
Stability testing: Periodically validate antibody activity through positive control experiments when using antibody aliquots stored for extended periods.
Each laboratory should determine optimal storage conditions based on their specific reagent formulation, as preparations may contain different stabilizers and preservatives .
When conducting experiments with SPBC23E6.02 Antibody, the following controls are essential for validating experimental results:
Positive controls:
Wild-type S. pombe extracts containing the SPBC23E6.02 protein
Recombinant SPBC23E6.02 protein (if available)
Negative controls:
SPBC23E6.02 knockout or deletion mutant strains
Unrelated yeast species extracts
Secondary antibody only (no primary antibody)
Pre-immune serum or isotype control
Specificity controls:
Peptide competition assay using the immunizing peptide
Comparison with other antibodies targeting the same protein
Immunodepletion using purified target protein
These controls help distinguish specific from non-specific signals, validate antibody performance, and ensure experimental rigor . Careful documentation of these controls is essential for publication and reproducibility purposes.
Optimizing Western blot protocols for SPBC23E6.02 Antibody requires systematic adjustment of multiple parameters:
Sample preparation optimization:
Extract preparation using different lysis buffers (RIPA, NP-40, or specialized yeast extraction buffers)
Protein denaturation conditions (temperature, time, reducing agents)
Protein concentration determination and loading (typically 20-50 μg total protein)
Electrophoresis and transfer parameters:
Gel percentage selection (typically 10-12% for proteins in 30-50 kDa range)
Transfer conditions (wet vs. semi-dry, buffer composition, time, voltage)
Antibody incubation optimization:
Blocking buffer selection (5% non-fat milk, BSA, or commercial alternatives)
Primary antibody dilution series (typically starting at 1:500-1:2000)
Incubation temperature and time (4°C overnight or room temperature for 1-2 hours)
Secondary antibody selection and dilution (typically 1:5000-1:10000)
Detection system selection:
Enhanced chemiluminescence (ECL) for standard detection
Fluorescent secondary antibodies for multiplex detection
Exposure time optimization
Based on research with similar antibodies, the expected band size for SPBC23E6.02 should be determined based on the molecular weight of the target protein. As demonstrated in studies with other phospho-proteins, the specific band may appear at a slightly higher apparent molecular weight than predicted due to post-translational modifications .
Validating antibody-antigen binding specificity for SPBC23E6.02 Antibody requires multiple orthogonal approaches:
Genetic validation:
Testing antibody reactivity in wild-type versus SPBC23E6.02 deletion strains
Comparing reactivity in strains with tagged versus untagged SPBC23E6.02
Biochemical validation:
Peptide competition assays using the immunizing peptide
Immunoprecipitation followed by mass spectrometry identification
Dot blot analysis with purified SPBC23E6.02 protein and unrelated proteins
Cross-reactivity assessment:
Testing against related proteins in S. pombe
Testing in other yeast species and model organisms
Advanced methods:
Surface plasmon resonance (SPR) to measure binding kinetics
Isothermal titration calorimetry (ITC) to determine binding thermodynamics
Bio-layer interferometry to assess real-time binding
The validation strategy should be multifaceted, as antibody-antigen interactions involve complex molecular forces including electrostatic, hydrogen bonds, hydrophobic interactions, and van der Waals forces, making binding reversible and dependent on experimental conditions .
When using SPBC23E6.02 Antibody for immunofluorescence microscopy in S. pombe research, consider these critical factors:
Cell fixation and permeabilization:
Test multiple fixation methods (4% paraformaldehyde, methanol, or combined approaches)
Optimize permeabilization conditions (Triton X-100 concentration and incubation time)
Consider cell wall digestion with enzymes for improved antibody penetration
Antibody incubation parameters:
Dilution series (typically starting at 1:100-1:500)
Incubation temperature and time (4°C overnight or room temperature for 1-2 hours)
Washing buffer composition and number of washes
Signal detection and resolution:
Secondary antibody selection (species, fluorophore brightness, spectral compatibility)
Mounting media selection (anti-fade properties, DAPI inclusion)
Microscopy technique selection (widefield, confocal, super-resolution)
Co-localization studies:
Compatible antibody combinations for multi-color imaging
Sequential versus simultaneous antibody incubation
Proper controls for spectral overlap
For quantitative analysis of immunofluorescence data, establish standardized image acquisition settings and use appropriate software for unbiased signal quantification. Similar to studies with phospho-specific antibodies, consider phosphatase treatment controls if the target protein is phosphorylated .
Active learning strategies can significantly enhance experimental design efficiency when working with SPBC23E6.02 Antibody, particularly for binding specificity characterization:
Iterative experimental design approaches:
Begin with small-scale pilot experiments to assess antibody performance
Use results to inform subsequent experimental conditions
Prioritize conditions with highest information gain potential
As demonstrated in recent research on antibody-antigen binding prediction, advanced active learning algorithms can reduce the number of required experimental variants by up to 35% and accelerate the learning process by 28 steps compared to random experimental design . This approach is particularly valuable for:
Epitope mapping optimization
Cross-reactivity profiling
Binding affinity determination across mutant variants
Optimization of immunoprecipitation conditions
Implementation strategy:
Define clear experimental endpoints and metrics
Establish computational infrastructure for data analysis
Design decision trees for experimental progression
Document all experimental outcomes systematically
This data-driven approach helps researchers minimize resource utilization while maximizing information gain, essential for comprehensive characterization of novel antibodies like SPBC23E6.02 .
When encountering signal issues with SPBC23E6.02 Antibody, implement this systematic troubleshooting approach:
For weak or no signal:
| Problem | Potential Causes | Solutions |
|---|---|---|
| Insufficient target protein | Low expression level | Enrich target protein via IP/concentration |
| Improper extraction | Test alternative lysis buffers | |
| Protein degradation | Add protease inhibitors | |
| Inefficient antibody binding | Low antibody concentration | Increase antibody concentration |
| Suboptimal incubation | Extend incubation time/change temperature | |
| Epitope masking | Try different detection methods | |
| Detection system issues | Expired reagents | Use fresh detection reagents |
| Insufficient exposure | Increase exposure time |
For non-specific signals:
| Problem | Potential Causes | Solutions |
|---|---|---|
| High background | Insufficient blocking | Optimize blocking buffer and time |
| Antibody concentration too high | Reduce antibody concentration | |
| Cross-reactivity | Perform pre-adsorption with related proteins | |
| Multiple bands | Protein degradation | Add protease inhibitors |
| Alternative splice variants | Validate with genetic approaches | |
| Post-translational modifications | Use phosphatase treatment (if phosphoprotein) |
Similar to phospho-specific antibodies like p-RPS6, SPBC23E6.02 Antibody may require specific optimization for each application and cell type .
When adapting SPBC23E6.02 Antibody for ChIP applications to study protein-DNA interactions in S. pombe, researchers should consider:
Pre-ChIP validation:
Confirm nuclear localization of SPBC23E6.02 protein
Validate antibody specificity in nuclear extracts
Perform immunoprecipitation efficiency tests
ChIP protocol optimization:
Crosslinking optimization:
Test formaldehyde concentrations (typically 1-3%)
Optimize crosslinking time (5-20 minutes)
Consider dual crosslinkers for protein-protein interactions
Chromatin fragmentation:
Compare sonication and enzymatic digestion
Verify fragment sizes (typically 200-500 bp)
Adjust conditions for yeast cell wall considerations
Immunoprecipitation conditions:
Antibody amount titration (typically 2-10 μg)
Bead type selection (Protein A/G, magnetic vs. agarose)
Incubation time optimization (4-16 hours)
Washing stringency:
Buffer composition (salt concentration, detergents)
Number of washes
Temperature considerations
ChIP-seq considerations:
Input normalization strategies
Library preparation optimization
Sequencing depth requirements
Bioinformatic analysis pipelines specific for yeast genomes
If SPBC23E6.02 functions as an RNA-binding protein similar to SPBC23E6.01c , consider complementary approaches like CLIP-seq (Crosslinking Immunoprecipitation) to study protein-RNA interactions alongside ChIP experiments.
Epitope accessibility significantly impacts SPBC23E6.02 Antibody performance across various experimental techniques:
Factors affecting epitope accessibility:
| Application | Native State | Denatured State | Accessibility Considerations |
|---|---|---|---|
| Western Blot | No | Yes | Complete denaturation exposes all epitopes |
| Immunoprecipitation | Yes | No | Epitope must be surface-exposed in native protein |
| Immunohistochemistry | Partial | Partial | Fixation method affects epitope exposure |
| Flow Cytometry | Yes | No | Only surface epitopes accessible unless permeabilized |
| ELISA | Variable | Variable | Coating method affects epitope orientation |
Strategies to improve epitope accessibility:
Epitope retrieval methods for fixed samples
Gentle detergents for native immunoprecipitation
Multiple antibodies targeting different epitopes
Optimized denaturation conditions for Western blotting
The antibody-antigen interaction depends on spatial complementarity (lock and key mechanism), requiring proper epitope exposure for binding . For SPBC23E6.02 Antibody, consider whether the epitope is linear (continuous amino acid sequence) or conformational (formed by protein folding), as this determines which applications will be most successful.
SPBC23E6.02 Antibody can be adapted for emerging single-cell applications in S. pombe research through these methodological approaches:
Single-cell protein analysis:
Mass cytometry (CyTOF) with metal-conjugated antibodies
Single-cell Western blotting
Microfluidic antibody capture assays
Spatial biology applications:
Imaging mass cytometry for spatial protein mapping
Multiplexed immunofluorescence with cyclic staining
In situ proximity ligation assays for protein interaction studies
Integration with other single-cell methods:
CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing)
Combined single-cell transcriptomics and proteomics
Live-cell imaging with fluorescent antibody fragments
Implementation considerations:
Antibody conjugation optimization
Signal amplification methods for low-abundance targets
Batch correction approaches for high-throughput experiments
Computational analysis pipelines for multi-modal data
These approaches enable researchers to study SPBC23E6.02 protein dynamics at unprecedented resolution, revealing cell-to-cell variability and spatial organization patterns that may be masked in population-level studies.
Incorporating SPBC23E6.02 Antibody into quantitative proteomics workflows requires careful attention to several methodological aspects:
Antibody-based enrichment for targeted proteomics:
Optimization of immunoprecipitation efficiency
Verification of enrichment specificity
Compatibility with subsequent mass spectrometry
Quantification of pull-down efficiency
Considerations for different proteomics approaches:
| Proteomics Approach | Antibody Application | Key Considerations |
|---|---|---|
| Immunoaffinity enrichment | Target protein isolation | Cross-reactivity assessment, complete elution |
| Proximity labeling | Validation of labeled proteins | Antibody specificity for confirmation |
| Protein complex analysis | Validation of interactions | Washing stringency optimization |
| Post-translational modification | Confirming modified targets | Epitope masking by modifications |
Data normalization and quantification:
Internal standards selection
Technical and biological replication strategy
Statistical analysis for differential abundance
Validation of mass spectrometry findings
If SPBC23E6.02 is involved in RNA processing similar to SPBC23E6.01c , consider proteomic approaches that preserve RNA-protein interactions, such as RBP-ome analysis with UV crosslinking followed by immunoprecipitation and mass spectrometry.