The SPCC16A11.03c antibody targets the protein encoded by the SPCC16A11.03c gene in Schizosaccharomyces pombe (fission yeast). This antibody is associated with the UPF0652 protein family, which includes uncharacterized proteins conserved across species.
While explicit research findings are not publicly detailed in available sources, the antibody’s design suggests utility in:
Cellular localization studies (e.g., tracking cytoplasmic/nuclear protein distribution).
Functional genomics (e.g., knockout or overexpression experiments in yeast models).
Protein interaction assays (e.g., immunoprecipitation or Western blot).
The SPCC16A11.03c gene is annotated in major biological databases:
| Database | Accession/ID |
|---|---|
| KEGG | spo:SPCC16A11.03c |
| STRING | 4896.SPCC16A11.03c.1 |
These resources provide genomic and proteomic context but lack detailed functional studies.
Availability: Custom-made through THE BioTek.
Storage: Stable at -20°C with glycerol buffer.
Applications: Presumed suitable for techniques like immunofluorescence, Western blot, or ELISA, though validation is required.
No peer-reviewed studies or experimental data directly using this antibody are cited in available sources. Researchers should validate its specificity and optimize protocols for their systems.
KEGG: spo:SPCC16A11.03c
STRING: 4896.SPCC16A11.03c.1
SPCC16A11.03c is a protein encoded by the SPCC16A11.03c gene in Schizosaccharomyces pombe (fission yeast). It belongs to the UPF0652 protein family, which includes uncharacterized proteins that are conserved across species. While detailed functional characterization is limited, its evolutionary conservation suggests biological significance. Studying this protein can provide insights into fundamental cellular processes that may be conserved from yeast to higher eukaryotes. The antibody against this protein serves as a valuable tool for investigating its localization, interactions, and functions in cellular contexts.
The SPCC16A11.03c gene is formally annotated in several major biological databases, providing researchers with reference points for genomic and proteomic data integration. Key database annotations include:
| Database | Accession/ID |
|---|---|
| KEGG | spo:SPCC16A11.03c |
| STRING | 4896.SPCC16A11.03c.1 |
These databases provide genomic context and predicted protein interaction networks, though it's important to note that detailed functional studies and experimental validations are still lacking in publicly available literature.
For optimal antibody stability and performance, SPCC16A11.03c antibody should be stored at -20°C in a glycerol buffer. This storage method helps preserve antibody integrity and activity over extended periods. When working with the antibody, it's advisable to aliquot the stock solution to avoid repeated freeze-thaw cycles, which can degrade antibody quality. Always follow supplier-specific recommendations, as formulation details may vary between manufacturers.
For cellular localization studies, SPCC16A11.03c antibody can be employed in immunofluorescence microscopy to determine the subcellular distribution of the target protein. The methodology involves:
Fixing S. pombe cells with 3.7% formaldehyde or other appropriate fixatives
Permeabilizing cell walls using enzymatic methods (such as zymolyase treatment) or detergents
Blocking with 1-5% BSA to reduce non-specific binding
Incubating with SPCC16A11.03c antibody at optimized dilutions (typically starting at 1:100-1:500)
Detecting with fluorophore-conjugated secondary antibodies
Counter-staining nuclei with DAPI or similar DNA-binding dyes
This approach can reveal whether the protein localizes to specific organelles, the cytoplasm, or the nucleus, providing insights into its potential functions. Researchers should include appropriate controls, including pre-immune serum and peptide competition assays, to validate specificity.
Several protein interaction assays can be effectively performed using SPCC16A11.03c antibody:
Co-immunoprecipitation (Co-IP): Use the antibody to pull down the target protein along with its interaction partners from S. pombe lysates, followed by mass spectrometry or Western blot analysis.
Proximity-dependent biotin identification (BioID): Fuse the target protein with a biotin ligase, express in cells, and use the antibody to validate expression and localization in parallel with biotin labeling experiments.
Chromatin immunoprecipitation (ChIP): If the protein has DNA-binding properties, use the antibody to immunoprecipitate protein-DNA complexes to identify genomic binding sites.
Protein microarrays: Use purified protein and the antibody to screen for interactions with arrayed proteins.
When designing these experiments, it's crucial to optimize buffer conditions for yeast proteins and include appropriate controls to distinguish specific from non-specific interactions.
Functional genomics approaches for studying SPCC16A11.03c involve:
Knockout strategies:
CRISPR-Cas9 targeting of the SPCC16A11.03c gene locus
Homologous recombination-based gene replacement with selection markers
Validation of knockout using the SPCC16A11.03c antibody via Western blot
Overexpression approaches:
Cloning the gene into vectors with inducible promoters (e.g., nmt1 promoter)
Creating GFP or epitope-tagged fusion constructs
Confirming overexpression using the antibody via Western blot and immunofluorescence
Post-manipulation analyses should include:
Growth phenotype characterization under various conditions
Cell cycle analysis
Protein localization studies using the antibody
Transcriptome and proteome profiling to identify affected pathways
The SPCC16A11.03c antibody serves as an essential tool for confirming successful genetic manipulation and for subsequent phenotypic characterization.
Optimizing Western blot protocols for SPCC16A11.03c antibody requires systematic adjustment of multiple parameters:
Sample preparation:
Test different lysis buffers (RIPA, NP-40, custom yeast lysis buffers)
Include protease inhibitors to prevent degradation
Optimize protein loading (typically 20-50 μg total protein)
Electrophoresis conditions:
Select appropriate gel percentage based on target protein size
Consider gradient gels if protein size is uncertain
Transfer parameters:
Optimize transfer time and voltage for the protein size
Test PVDF vs. nitrocellulose membranes
Antibody incubation:
Test a dilution series (typically 1:500 to 1:5000)
Compare overnight 4°C vs. room temperature incubation
Optimize blocking conditions (5% milk or BSA)
Detection method:
Compare sensitivity of chemiluminescence vs. fluorescent detection
Controls:
Include positive controls (if available)
Use loading controls appropriate for yeast samples
It's advisable to document all optimization steps methodically to establish a reliable protocol for future experiments.
Comprehensive validation of SPCC16A11.03c antibody specificity involves multiple approaches:
Genetic validation:
Test antibody reactivity in wild-type vs. knockout/knockdown strains
Analyze overexpression systems for corresponding signal increase
Molecular validation:
Perform peptide competition assays with immunizing peptide
Test cross-reactivity with related proteins from the UPF0652 family
Technical validation:
Compare results across multiple detection methods (Western blot, immunofluorescence, ELISA)
Evaluate batch-to-batch consistency for reproducibility
Controls:
Include isotype control antibodies
Use pre-immune serum as negative control
Heterologous expression:
Express the target protein in a different organism and test antibody reactivity
Documentation of these validation steps is crucial for publication-quality research and ensures reliable interpretation of experimental results.
When developing an ELISA using SPCC16A11.03c antibody, researchers should consider:
Assay format selection:
Direct ELISA: Antigen directly coated on plate
Sandwich ELISA: Requires two non-competing antibodies
Competitive ELISA: For smaller antigens or higher sensitivity
Protocol optimization:
Coating buffer composition (carbonate/bicarbonate vs. PBS)
Blocking agent selection (BSA, milk, commercial blockers)
Antibody concentration titration (typically starting at 1-10 μg/ml)
Incubation times and temperatures
Detection system:
HRP vs. AP enzyme conjugates
Chromogenic vs. fluorogenic vs. chemiluminescent substrates
Controls and standards:
Include purified SPCC16A11.03c protein as standard curve if available
Include negative controls (buffer only, irrelevant protein)
Consider spike-in recovery tests for complex samples
Validation metrics:
Determine limit of detection
Establish assay dynamic range
Assess intra- and inter-assay variability (CV values should be <15%)
The absence of commercially available standards for SPCC16A11.03c protein means researchers may need to develop their own reference materials for quantitative applications.
When unexpected bands appear in Western blots using SPCC16A11.03c antibody, systematic investigation is required:
Higher molecular weight bands may indicate:
Post-translational modifications (phosphorylation, ubiquitination)
Protein complexes not fully denatured
Non-specific binding to related proteins
Lower molecular weight bands may represent:
Proteolytic fragments
Alternative splice variants
Degradation products
Troubleshooting approach:
Modify sample preparation (adjust detergent concentration, add more protease inhibitors)
Change reducing conditions (increase DTT/β-mercaptoethanol)
Test different blocking agents to reduce non-specific binding
Perform peptide competition assays to determine which bands are specific
Validation experiments:
Mass spectrometry analysis of excised bands
Comparison with knockout/knockdown samples
Immunoprecipitation followed by Western blot
Remember that the predicted molecular weight may differ from observed migration patterns due to post-translational modifications or the inherent properties of the protein.
Poor immunofluorescence signals can result from multiple factors:
Fixation issues:
Inadequate fixation failing to preserve epitopes
Over-fixation masking epitopes
Incompatibility between fixative and antibody
Accessibility problems:
Insufficient permeabilization of yeast cell wall
Epitope masking by protein-protein interactions
Nuclear or membrane barriers preventing antibody access
Antibody factors:
Sub-optimal concentration (too dilute or too concentrated)
Degraded antibody from improper storage
Low affinity for the fixed/processed epitope
Technical factors:
Photobleaching during microscopy
Inappropriate filter sets
Insufficient blocking leading to high background
Biological factors:
Low expression level of target protein
Expression timing not captured in sample
Protein degradation during sample processing
Systematic optimization starting with positive controls and varying one parameter at a time is the most efficient troubleshooting approach.
Distinguishing genuine signals from artifacts requires multiple validation approaches:
Biological validation:
Compare results between wild-type and knockout cells
Use RNAi or CRISPR knockdown with varying efficiency
Test in different yeast strains or growth conditions
Technical validation:
Use multiple antibody lots or sources if available
Compare different detection methods (Western blot vs. immunofluorescence)
Include peptide competition controls
Alternative approaches:
Complement antibody studies with tagged protein versions
Correlate with mRNA expression data
Use orthogonal detection methods (mass spectrometry)
Statistical robustness:
Perform sufficient biological replicates (minimum n=3)
Use appropriate statistical tests
Consider effect sizes, not just p-values
Controls matrix:
Include positive and negative controls in all experiments
Use isotype controls to assess non-specific binding
Employ secondary-only controls for background assessment
The SPCC16A11.03c antibody could serve as a valuable tool for comparative studies across species:
Cross-reactivity testing:
Evaluate antibody binding to homologous proteins in related yeast species
Test against potential mammalian homologs to assess epitope conservation
Functional conservation studies:
Use the antibody to immunoprecipitate protein complexes across species
Compare interactomes to identify conserved binding partners
Structural insights:
Employ the antibody in structural studies (cryo-EM, crystallography)
Analyze epitope accessibility in different conformational states
Evolutionary proteomics:
Develop comparative immunoblotting protocols across species
Correlate expression patterns with phylogenetic relationships
Complementation experiments:
Express homologs from other species in S. pombe SPCC16A11.03c knockout
Use the antibody to confirm expression and assess functional rescue
This research direction could reveal fundamental insights into protein function conservation throughout evolution and potentially identify novel functional domains.
Integration of SPCC16A11.03c antibody with emerging technologies offers promising research avenues:
Proximity labeling proteomics:
BioID or APEX2 fusion proteins validated with the antibody
TurboID for rapid labeling of proximal proteins
Live-cell applications:
Correlative light-electron microscopy (CLEM) using antibody staining
Single-molecule tracking with antibody fragments
Genomic integration:
CUT&RUN or CUT&Tag for precise genomic mapping
ChIP-seq with the antibody if DNA interactions are suspected
Structural biology:
Cryo-electron tomography with immunogold labeling
Single-particle analysis of immunoprecipitated complexes
Systems biology approaches:
Antibody-based proteomics across different growth conditions
Integration with transcriptomics and metabolomics data
High-throughput screening:
Automated immunofluorescence in genetic or chemical screens
Validation of hits from genome-wide screens
These integrative approaches could reveal functional insights that might be missed by conventional techniques alone.
Modern antibody engineering approaches offer several avenues for improving SPCC16A11.03c antibody performance:
Affinity maturation:
Phage display selection of higher-affinity variants
Rational design based on structural analysis of antibody-antigen interface
Format engineering:
Generation of recombinant Fab or scFv fragments for improved tissue penetration
Bispecific formats targeting SPCC16A11.03c and interacting proteins
Functional modifications:
Site-specific conjugation with fluorophores or enzymes
Engineering pH-dependent binding for specific applications
Stability engineering:
Improving thermal stability through rational mutations
Enhancing resistance to proteolytic degradation
Expression optimization:
Humanization if considering therapeutic applications
Codon optimization for recombinant production
Application-specific variants:
Super-resolution microscopy-optimized versions
Variants with reduced background in specific applications
These engineered antibodies could significantly expand the research toolkit for studying SPCC16A11.03c and related proteins across diverse experimental contexts.