A systematic search was conducted across:
PubMed/PMC (biomedical research articles)
Patent repositories (USPTO, WIPO, PLAbDab)
Antibody-specific databases (Thera-SAbDab, Antibody Research Corporation)
General scientific sources (Wikipedia, structured antibody databases)
No matches for "SPCC553.06 Antibody" were identified in any indexed studies, patents, or commercial antibody catalogs.
The identifier "SPCC553.06" does not align with standard antibody naming conventions (e.g., WHO’s INN system, CDR classifications, or therapeutic formats like "mavrilimumab").
Possible typographical errors or internal codes (e.g., institutional project identifiers) may explain the lack of public records.
The compound may be under confidential development, with data restricted to non-public industry pipelines.
Preclinical candidates often lack published data until patent filings or trial registrations occur.
| Action | Purpose |
|---|---|
| Verify spelling/nomenclature | Confirm if "SPCC553.06" corresponds to a published identifier (e.g., CAS number, clinical trial ID). |
| Screen proprietary databases | Use platforms like Cortellis or Pharmaprojects for industry-specific pipelines. |
| Contact developers directly | Reach out to academic labs or biotech firms specializing in antibody engineering. |
While "SPCC553.06" remains unidentified, recent advances in comparable antibody technologies include:
Example: PSMA antibody-auristatin conjugates demonstrated 40% cure rates in prostate cancer models .
Structural insights from Fc engineering (e.g., "knobs-into-holes" heterodimerization) enhance therapeutic efficacy.
KEGG: spo:SPCC553.06
STRING: 4896.SPCC553.06.1
SPCC553.06 Antibody is a polyclonal antibody raised in rabbits that specifically targets the SPCC553.06 protein from Schizosaccharomyces pombe (strain 972 / ATCC 24843), commonly known as fission yeast. This antibody recognizes epitopes on the protein encoded by the SPCC553.06 gene (UniProt accession number O74943). The antibody is produced through immunization with a recombinant form of the target protein and is subsequently purified using antigen affinity methods to ensure high specificity in experimental applications .
SPCC553.06 Antibody has been validated for use in enzyme-linked immunosorbent assay (ELISA) and Western blotting (WB) techniques. These applications enable researchers to detect and quantify the presence of the target protein in various experimental samples. The antibody's specificity makes it particularly valuable for studying protein expression patterns, localization, and interactions in fission yeast models . Like other research antibodies, its applications build on the fundamental principles of antibody-antigen recognition that form the basis of many immunological techniques used in molecular and cellular biology research .
For optimal preservation of activity, SPCC553.06 Antibody should be stored at either -20°C or -80°C immediately upon receipt. Repeated freeze-thaw cycles should be avoided as they can lead to denaturation and aggregation of antibody molecules, potentially compromising binding affinity and specificity. The antibody is supplied in a storage buffer containing 0.03% Proclin 300 (as a preservative) and 50% glycerol in 0.01M PBS at pH 7.4, which helps maintain stability during freezing . This storage approach aligns with general best practices for preserving antibody function, as inappropriate storage conditions can lead to diminished performance in downstream applications .
When designing Western blotting experiments with SPCC553.06 Antibody, several critical controls should be incorporated:
Positive control: Lysate from wild-type S. pombe cells known to express the SPCC553.06 protein
Negative control: Lysate from S. pombe strains with SPCC553.06 gene deletion
Loading control: Probing for a constitutively expressed protein (e.g., actin or tubulin)
Secondary antibody control: Membrane incubated with only the secondary antibody to assess non-specific binding
Blocking control: Testing different blocking reagents to optimize signal-to-noise ratio
These controls help validate antibody specificity and experimental reliability . Because this is a polyclonal antibody, lot-to-lot variation may occur, making proper controls particularly important for experimental reproducibility .
Determining optimal dilution ratios for SPCC553.06 Antibody requires systematic titration experiments for each application:
For Western blotting:
Prepare a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000) of the antibody
Run identical protein samples on multiple blots
Process each blot with a different antibody dilution
Compare signal intensity and background levels
Select the dilution that provides the best signal-to-noise ratio
For ELISA:
Prepare a standard curve with known concentrations of recombinant SPCC553.06 protein
Test antibody dilutions ranging from 1:100 to 1:10,000
Calculate signal-to-noise ratios for each dilution
Choose the dilution that provides optimal sensitivity and specificity
This methodical approach follows standard practices for antibody optimization in immunoassays and helps ensure reliable, reproducible results .
Effective sample preparation for SPCC553.06 Antibody applications involves several critical steps:
Cell lysis: For S. pombe cells, use glass bead disruption in buffer containing protease inhibitors to prevent protein degradation
Protein extraction: Employ buffer conditions that maintain native protein conformation (e.g., Tris-HCl pH 7.5, 150 mM NaCl, 1% Triton X-100)
Denaturation for Western blotting: Heat samples at 95°C for 5 minutes in Laemmli buffer containing SDS and β-mercaptoethanol
Protein quantification: Use Bradford or BCA assay to ensure equal loading
Sample storage: Aliquot samples to avoid freeze-thaw cycles and store at -80°C
When working with membrane proteins or proteins prone to aggregation, optimization of detergent types and concentrations may be necessary to maximize extraction efficiency while preserving antibody recognition sites .
SPCC553.06 Antibody can be employed in several sophisticated approaches to investigate protein-protein interactions:
Co-immunoprecipitation (Co-IP):
Lyse S. pombe cells under non-denaturing conditions
Incubate lysate with SPCC553.06 Antibody conjugated to magnetic or agarose beads
Wash to remove non-specific interactions
Elute bound protein complexes and analyze by mass spectrometry
Proximity Ligation Assay (PLA):
Fix S. pombe cells and permeabilize
Incubate with SPCC553.06 Antibody and an antibody against a suspected interaction partner
Apply oligonucleotide-conjugated secondary antibodies
When proteins are in close proximity, oligonucleotides hybridize and are amplified
Detect amplification products by fluorescence microscopy
Chromatin Immunoprecipitation (ChIP):
If SPCC553.06 protein has nuclear functions, use the antibody to identify DNA-binding sites
These advanced applications extend beyond simple detection to reveal functional aspects of the target protein, though each requires careful optimization and validation .
Validating antibody specificity is crucial for reliable research outcomes. For SPCC553.06 Antibody, consider these advanced validation approaches:
Gene knockout/knockdown comparison:
Compare immunoblot/immunostaining patterns between wild-type cells and SPCC553.06 deletion mutants
Expected result: Signal should be absent or significantly reduced in knockout samples
Preabsorption test:
Preincubate the antibody with excess purified recombinant SPCC553.06 protein
Apply preabsorbed antibody in parallel with untreated antibody
Expected result: Preabsorption should eliminate specific signals
Mass spectrometry validation:
Immunoprecipitate with SPCC553.06 Antibody
Analyze precipitated proteins by mass spectrometry
Confirm presence of SPCC553.06 protein and characterize any co-precipitating proteins
Orthogonal detection methods:
Compare results with alternative detection methods like RNA-seq or proteomics
Cross-validate with antibodies targeting different epitopes of the same protein
These rigorous validation approaches follow principles of antibody characterization established for therapeutic antibody development but applied to research contexts .
Epitope mapping for SPCC553.06 Antibody can be accomplished through several methodological approaches:
Peptide array analysis:
Synthesize overlapping peptides (15-20 amino acids) covering the entire SPCC553.06 protein sequence
Immobilize peptides on a membrane or chip
Probe with SPCC553.06 Antibody
Detect binding to identify specific peptides containing epitopes
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Expose the protein to deuterium-containing buffer
Monitor deuterium incorporation rates with and without antibody binding
Regions protected from exchange upon antibody binding indicate epitope locations
Mutagenesis approach:
Generate point mutations in recombinant SPCC553.06 protein
Test antibody binding to mutated proteins
Amino acid substitutions that abolish binding identify critical epitope residues
Since SPCC553.06 Antibody is polyclonal, epitope mapping will likely reveal multiple binding sites, providing insight into the diversity of recognition sites and potentially guiding the development of more specific monoclonal versions .
When facing signal detection issues with SPCC553.06 Antibody in Western blotting, implement these methodological solutions:
Sample preparation optimization:
Ensure complete lysis of S. pombe cells (which have tough cell walls)
Try different lysis buffers to improve protein extraction
Add phosphatase inhibitors if phosphorylation affects epitope recognition
Blocking and antibody incubation:
Test alternative blocking agents (5% BSA may be superior to milk for some applications)
Extend primary antibody incubation time (overnight at 4°C)
Reduce washing stringency to preserve weak interactions
Detection system enhancement:
Switch to more sensitive detection methods (e.g., chemiluminescence to enhanced chemiluminescence)
Use signal amplification systems (e.g., biotin-streptavidin)
Consider longer exposure times for film-based detection
Transfer optimization:
For high molecular weight proteins, extend transfer time or use different buffer systems
For hydrophobic proteins, adjust methanol content in transfer buffer
A systematic approach to troubleshooting, changing one variable at a time, helps identify the specific limitation in your experimental setup .
Non-specific binding can significantly impact experimental interpretation. To minimize this problem with SPCC553.06 Antibody:
Optimization of blocking conditions:
| Blocking Agent | Concentration | Incubation Time | Best For |
|---|---|---|---|
| BSA | 3-5% | 1-2 hours | Phosphoprotein detection |
| Non-fat milk | 5% | 1 hour | General applications |
| Casein | 1% | 1-2 hours | Low background for fluorescent detection |
| Commercial blockers | As directed | As directed | Specialized applications |
Antibody dilution optimization:
Testing higher dilutions may reduce non-specific binding while maintaining specific signal
Consider using antibody diluents containing low concentrations of detergents (0.05% Tween-20)
Washing protocol enhancement:
Increase number of washes (5-6 times for 5 minutes each)
Use buffers with higher salt concentration (up to 500 mM NaCl) to disrupt weak, non-specific interactions
Add 0.1-0.2% SDS to wash buffer for stubborn background
Preabsorption with irrelevant proteins:
Incubate antibody with S. cerevisiae lysate (related but different yeast species) before use
This can reduce cross-reactivity to conserved epitopes
These approaches are based on established principles for improving signal specificity in immunological techniques .
Buffer composition significantly affects antibody-antigen interactions. For optimizing SPCC553.06 Antibody performance:
pH optimization:
Test buffers ranging from pH 6.0-8.0
Antibody-antigen binding is typically optimal near physiological pH (7.2-7.4)
Minor pH adjustments can dramatically improve signal intensity
Salt concentration effects:
| NaCl Concentration | Effect on Binding |
|---|---|
| <100 mM | May increase non-specific interactions |
| 150 mM | Physiological; good starting point |
| 300-500 mM | Can reduce non-specific binding but may decrease affinity |
Detergent considerations:
Low concentrations (0.05-0.1%) of Tween-20 typically reduce background
For membrane proteins, mild detergents like digitonin or CHAPS may better preserve epitopes
Ionic detergents can denature proteins, potentially affecting epitope recognition
Additives to consider:
5-10% glycerol can stabilize antibodies during incubation
1-5 mM EDTA may improve results if metalloprotease activity is present
0.1-1% carrier proteins (BSA, casein) can prevent non-specific binding
Systematic optimization using a matrix approach allows identification of ideal buffer conditions for specific experimental setups .
When comparing SPCC553.06 Antibody with other S. pombe-specific antibodies, several factors merit consideration:
Specificity profiles:
As a polyclonal antibody, SPCC553.06 Antibody recognizes multiple epitopes, potentially providing robust detection but increased risk of cross-reactivity
Monoclonal antibodies against other S. pombe proteins offer higher specificity but may be more sensitive to epitope masking
Application versatility:
SPCC553.06 Antibody is validated for ELISA and WB applications
Some commercially available antibodies against other fission yeast proteins have broader application profiles including immunohistochemistry and immunofluorescence
Species cross-reactivity:
Antibodies against highly conserved proteins may exhibit cross-reactivity with related species
SPCC553.06 Antibody is specifically raised against fission yeast protein with specificity for this organism
Performance characteristics:
| Antibody Type | Sensitivity | Specificity | Batch-to-Batch Consistency | Cost Considerations |
|---|---|---|---|---|
| SPCC553.06 Polyclonal | High | Moderate | May vary between lots | Moderate |
| Typical S. pombe monoclonal | Moderate | High | Consistent | Higher |
| Tagged protein detection | Very high | Excellent | Highly consistent | Variable |
This comparative analysis helps researchers select appropriate antibodies based on specific experimental requirements and available resources .
Computational prediction of epitopes can provide valuable insights prior to experimental validation:
Sequence-based epitope prediction:
B-cell epitope prediction algorithms (BepiPred, ABCpred) can identify potential linear epitopes
Analysis of hydrophilicity, flexibility, accessibility, and antigenicity profiles
For SPCC553.06 protein, regions with high surface probability scores are likely antibody targets
Structural epitope prediction:
If 3D structure of SPCC553.06 protein is available or can be modeled:
Ellipro algorithm identifies protruding regions likely to be antigenic
DiscoTope predicts discontinuous B-cell epitopes
PEPOP can predict epitopes and guide peptide design
Integrative approach workflow:
Generate protein structure prediction using AlphaFold
Identify surface-exposed residues
Calculate epitope propensity scores
Cross-reference with sequence conservation analysis
Machine learning methods:
Deep learning approaches combining sequence and structural features
Support vector machines trained on validated epitope datasets
These computational approaches provide theoretical foundation for experimental epitope mapping and can guide the development of next-generation antibodies with enhanced specificity .
Integration of SPCC553.06 Antibody into multi-omics research frameworks enables comprehensive understanding of biological systems:
Proteogenomic integration:
Combine RNA-seq data on SPCC553.06 expression with protein detection by the antibody
Correlate transcriptomic changes with protein abundance
Investigate post-transcriptional regulation mechanisms
Protein interactome mapping:
Use SPCC553.06 Antibody for immunoprecipitation followed by mass spectrometry
Integrate with yeast two-hybrid or BioID proximity labeling data
Construct protein interaction networks centered on SPCC553.06 protein
Functional genomics correlation:
Compare phenotypes of SPCC553.06 deletion/mutation with protein localization/abundance
Integrate ChIP-seq data (if SPCC553.06 has DNA-binding properties) with transcriptomics
Map protein function to specific cellular pathways
Temporal dynamics studies:
Monitor SPCC553.06 protein levels during cell cycle or stress responses
Correlate with global proteome and phosphoproteome changes
Develop predictive models of protein behavior under different conditions
This integrative approach leverages the specificity of antibody-based detection within the broader context of systems biology, providing deeper insights than any single methodology .
Several cutting-edge technologies hold promise for expanding SPCC553.06 Antibody applications:
Single-cell proteomics integration:
Adapting SPCC553.06 Antibody for mass cytometry (CyTOF)
Development of ultra-sensitive detection methods for single-cell Western blotting
Integration with microfluidic platforms for high-throughput single-cell analysis
Spatial proteomics advances:
Optimization for multiplexed immunofluorescence using spectral unmixing
Application in Imaging Mass Cytometry for subcellular localization
CODEX (CO-Detection by indEXing) for highly multiplexed protein detection
Nanobody and recombinant antibody development:
Engineering smaller antibody fragments against SPCC553.06 for improved tissue penetration
CRISPR-based epitope tagging combined with validated antibodies for enhanced specificity
Generating site-specific monoclonal antibodies for distinct functional domains
Live-cell applications:
Development of cell-permeable antibody formats
Integration with optogenetic approaches for spatiotemporal protein monitoring
Combination with genomically encoded tags for correlative light and electron microscopy
These technological advancements promise to extend the utility of research antibodies beyond traditional applications, enabling more sophisticated exploration of protein dynamics and function .
Research using SPCC553.06 Antibody may contribute to fundamental understanding of eukaryotic biology:
Evolutionary conservation studies:
Investigating functional homologs across species
Understanding conserved protein domains and their significance
Tracing evolutionary adaptations in protein structure and function
Cellular process insights:
If SPCC553.06 participates in core cellular processes, findings may translate to other eukaryotes
S. pombe as a model system often provides insights applicable to human cell biology
Discoveries may illuminate conserved regulatory mechanisms
Methodology development:
Optimization techniques for this antibody may inform approaches for other challenging proteins
Novel applications could establish new protocols applicable to other research areas
Bioinformatic prediction methods developed for this system may have broader utility
Translational potential:
Insights into fundamental processes may inform understanding of human disease mechanisms
Novel protein interactions discovered may represent potential therapeutic targets
Understanding protein modifications may illuminate regulatory networks conserved in humans
This broader perspective emphasizes the value of basic research with model organisms and specific molecular tools in advancing our understanding of fundamental biological principles .
Future improvements in antibody technology could enhance research capabilities:
Advanced immunization strategies:
Using structural information to design immunogens exposing critical epitopes
Prime-boost strategies with different protein forms to broaden epitope recognition
Genetic immunization approaches for difficult-to-express proteins
Selection and screening enhancements:
High-throughput screening methods to identify antibodies with superior properties
Application of machine learning for predicting antibody developability from sequence
Integration of developability assessments early in selection process
Engineering for improved properties:
| Property | Enhancement Approach | Expected Benefit |
|---|---|---|
| Specificity | Directed evolution or CDR engineering | Reduced cross-reactivity |
| Affinity | Affinity maturation through display technologies | Improved detection sensitivity |
| Stability | Framework optimization and aggregation hotspot removal | Extended shelf-life and consistency |
| Functionality | Fc engineering or recombinant formats | Application-specific improvements |
Production and purification advances:
Optimized expression systems for consistent antibody production
Novel purification strategies to enhance yield and quality
Formulation improvements for better stability and reduced background
These methodological advances build on established antibody development principles while incorporating cutting-edge technologies to create next-generation research tools with enhanced performance characteristics .
Ensuring reproducible results with SPCC553.06 Antibody requires attention to several critical factors:
Antibody validation and documentation:
Verify antibody specificity through appropriate controls
Document lot number and source for all experiments
Consider creating validation datasets specific to your experimental system
Standardized protocols:
Develop detailed SOPs for all applications
Include precise timing, temperatures, and reagent compositions
Maintain consistent sample preparation methods
Quantitative approach:
Use appropriate quantification methods for Western blots or ELISA
Include standard curves where applicable
Apply statistical analysis to replicate experiments
Transparent reporting:
Document all experimental conditions and antibody details in publications
Report negative results and limitations
Share protocols through repositories or supplementary materials
Adherence to these best practices aligns with emerging standards for antibody use in research and supports the broader scientific community's efforts to enhance reproducibility .
A multi-modal approach to protein detection provides stronger evidence and more comprehensive insights:
Orthogonal validation strategy:
Complement antibody-based detection with mass spectrometry
Correlate protein levels with mRNA expression data
Use fluorescent protein tagging as an independent verification method
Method selection based on research questions:
| Research Question | Primary Method | Complementary Method |
|---|---|---|
| Protein abundance | Western blot with SPCC553.06 Antibody | Mass spectrometry quantification |
| Protein localization | Immunofluorescence | Fractionation followed by Western blot |
| Protein-protein interactions | Co-IP with SPCC553.06 Antibody | Proximity ligation assays |
| Protein modifications | IP followed by modification-specific detection | Mass spectrometry |
Data integration approach:
Develop normalization strategies across different detection methods
Apply computational tools to integrate multi-modal data
Consider relative strengths and limitations of each method during interpretation
Sequential application workflow:
Use SPCC553.06 Antibody for initial screening or hypothesis generation
Follow with orthogonal methods for validation
Apply specialized techniques for detailed mechanistic studies
This integrated approach maximizes the strengths of each methodology while mitigating their individual limitations .
Systematic evaluation of antibody performance is essential for reliable research outcomes:
Specificity metrics:
Signal ratio between positive and negative controls
Band pattern comparison with predicted molecular weight
Signal reduction in knockout/knockdown samples
Cross-reactivity assessment with related proteins
Sensitivity parameters:
Limit of detection (lowest amount of target protein detectable)
Dynamic range (linear range of signal vs. protein concentration)
Signal-to-noise ratio at working dilution
Reproducibility between technical and biological replicates
Application-specific quality indicators:
| Application | Key Quality Metrics | Acceptance Criteria |
|---|---|---|
| Western blot | Band specificity, background levels | Single band at expected MW, minimal background |
| ELISA | Standard curve linearity, blank value | R² > 0.98, blank OD < 0.1 |
| IP | Enrichment factor, non-specific binding | >10x enrichment, minimal contaminants |
Batch-to-batch consistency evaluation:
Comparison of performance between lots
Antibody titration curves for each batch
Epitope mapping confirmation when available
These rigorous quality metrics enable researchers to objectively assess antibody performance and make informed decisions about experimental design and data interpretation .