The SPAC11D3.04c Antibody recognizes Sup11p, the protein encoded by the SPAC11D3.04c gene. Sup11p shares homology with Saccharomyces cerevisiae Kre9, a protein implicated in β-1,6-glucan synthesis. Key features include:
Target Protein: Sup11p (UniProt ID: N/A; Gene ID: SPAC11D3.04c).
Species Reactivity: Schizosaccharomyces pombe.
Applications: Immunofluorescence, Western blot, functional studies of cell wall dynamics and septum assembly .
Polyclonal antibodies against Sup11p were generated using GST-fusion peptides derived from Sup11p sequences. Validation methods included:
Western Blot: Confirmed specificity for Sup11p in S. pombe lysates.
Immunofluorescence: Localized Sup11p to the cell wall and septal regions during cytokinesis .
Functional Knockdown: Depletion of Sup11p via conditional mutants (nmt81-sup11) resulted in cell wall defects and malformed septa, validating its essential role .
Studies using SPAC11D3.04c Antibody revealed critical insights into Sup11p’s biological roles:
Cell Wall Remodeling: Transcriptome analysis of nmt81-sup11 mutants showed upregulated expression of glucanases (e.g., gas2+), indicating compensatory mechanisms for cell wall integrity .
Glycosylation Interplay: Sup11p’s S/T-rich region is heavily O-mannosylated in wild-type cells, masking an N-X-A sequon. In O-mannosylation-deficient strains (oma4Δ), this sequon becomes accessible for N-glycosylation, altering protein stability .
While SPAC11D3.04c Antibody itself is not commercially available, its development parallels methodologies used in therapeutic antibody engineering, such as:
Epitope Mapping: Critical for identifying functional domains (e.g., β-1,6-glucan-binding regions).
Cell Line Engineering: Insights into glycosylation pathways inform yeast-based production of biologics .
SPAC11D3.04c is a gene/protein identifier in Schizosaccharomyces pombe (fission yeast). Antibodies against this protein are valuable research tools for studying protein expression, localization, and interactions in experimental settings. Similar to other fission yeast proteins studied with immunological techniques, antibodies against SPAC11D3.04c allow researchers to investigate its function in cellular processes through methods like immunoprecipitation, immunoblotting, and immunofluorescence . These antibodies enable specific detection of the target protein in complex biological samples, facilitating studies of protein dynamics during different cell cycle phases and under various experimental conditions.
Proper validation of SPAC11D3.04c antibodies should follow a multi-step approach:
Specificity testing: Perform immunoblotting against wild-type and knockout/deletion strains. A specific antibody should show a band of expected molecular weight in wild-type samples that is absent in knockout samples .
Cross-reactivity assessment: Test the antibody against closely related proteins to ensure specificity, especially given the existence of other zinc-finger proteins in S. pombe .
Application validation: Verify functionality in different applications (immunoblotting, immunoprecipitation, immunofluorescence) as performance can vary between applications.
Epitope mapping: If possible, identify the specific epitope recognized by the antibody to understand potential cross-reactivity and binding characteristics.
Reproducibility testing: Ensure consistent results across different batches of the antibody and experimental conditions.
Based on successful immunoprecipitation of similar S. pombe proteins:
Extract preparation: Lyse exponentially growing cells (approximately 1×10¹¹) in extraction buffer (25 mM HEPES-KOH pH 7.5, 200 mM NaCl, 10% glycerol, 0.1% NP-40, 1 mM phenylmethylsulfonyl fluoride) supplemented with protease inhibitor cocktail .
Clarification: Centrifuge extracts twice (20 min at 7600 rpm followed by 30 min at 20,000 rpm) to remove cellular debris .
Antibody binding: Incubate clarified extracts with antibody-conjugated beads (such as Protein A/G or anti-TAG affinity gel if working with tagged proteins) for 2 hours at 4°C .
Washing: Thoroughly wash beads with extraction buffer to remove non-specifically bound proteins.
Elution: Elute bound proteins using appropriate methods (low pH, high salt, or specific peptide competition if using tagged proteins) .
Analysis: Analyze immunoprecipitated proteins by techniques such as SDS-PAGE followed by immunoblotting or mass spectrometry .
Integration of high-throughput sequencing with SPAC11D3.04c antibody studies can reveal genome-wide binding patterns and regulatory networks:
ChIP-seq (Chromatin Immunoprecipitation followed by Sequencing): If SPAC11D3.04c has DNA-binding properties similar to other zinc-finger proteins, ChIP-seq can map its genomic binding sites . This approach requires:
Crosslinking proteins to DNA in vivo
Immunoprecipitation using a validated SPAC11D3.04c antibody
Sequencing of bound DNA fragments
Bioinformatic analysis to identify binding motifs and target genes
RIP-seq (RNA Immunoprecipitation followed by Sequencing): If SPAC11D3.04c interacts with RNA, RIP-seq can identify associated transcripts:
Crosslinking proteins to RNA
Immunoprecipitation with SPAC11D3.04c antibody
Sequencing of bound RNA
Analysis to identify regulated transcripts
Proteomics integration: Combining immunoprecipitation with mass spectrometry enables identification of protein interaction networks, similar to approaches used for other S. pombe proteins .
Based on successful studies of other S. pombe proteins:
Synchronized cultures: Use established methods (nitrogen starvation, temperature-sensitive cdc mutants, or chemical synchronization) to obtain populations enriched for specific cell cycle phases .
Combined tagging approach: Generate strains expressing SPAC11D3.04c-TAG along with potential interacting proteins tagged with different epitopes (similar to Klf1-FLAG studies) .
Co-immunoprecipitation: Compare protein interactions across different cell cycle phases by immunoprecipitating SPAC11D3.04c and analyzing co-precipitating proteins by mass spectrometry .
Quantitative proteomics: Implement SILAC (Stable Isotope Labeling with Amino acids in Cell culture) or TMT (Tandem Mass Tag) labeling to quantitatively compare interaction dynamics across cell cycle phases.
Microscopy validation: Confirm interactions using fluorescently tagged proteins and colocalization analysis during specific cell cycle phases .
Resolving contradictions between SPAC11D3.04c transcriptomic and proteomic data requires a systematic approach:
Technical validation: Verify results using alternative techniques:
Confirm transcript levels using RT-qPCR with multiple primer sets
Validate protein levels using different antibodies or epitope tags
Employ absolute quantification methods for both RNA and protein
Post-transcriptional regulation assessment: Investigate mechanisms that could explain discrepancies:
Measure mRNA stability using actinomycin D chase experiments
Assess translation efficiency using polysome profiling
Examine protein degradation rates using cycloheximide chase assays
Temporal resolution analysis: Analyze time-course data to identify delayed relationships between transcription and translation .
Subcellular localization studies: Determine if protein compartmentalization affects detection in certain assays using fractionation approaches combined with immunoblotting .
Integrative computational analysis: Apply mathematical modeling to reconcile datasets and generate testable hypotheses about regulatory mechanisms.
Based on experiences with similar proteins in S. pombe:
| Problem | Possible Causes | Solutions |
|---|---|---|
| Poor immunoprecipitation efficiency | Insufficient antibody affinity | Use higher antibody concentration or develop higher-affinity antibodies |
| Inadequate extraction conditions | Optimize buffer composition (salt, detergent, pH) | |
| Epitope masking by protein interactions | Use different extraction or crosslinking conditions | |
| High background | Non-specific antibody binding | Include additional washing steps with higher stringency buffers |
| Contamination from abundant proteins | Pre-clear lysates with control beads before immunoprecipitation | |
| Inappropriate blocking agents | Optimize blocking with BSA or non-fat milk | |
| Degradation of target protein | Proteolytic activity | Increase protease inhibitor concentration and maintain samples at 4°C |
| Sample heating | Process samples quickly and avoid excessive heating | |
| Inconsistent results | Variations in growth conditions | Standardize culture conditions and harvesting protocols |
| Antibody batch variations | Use the same antibody lot or thoroughly validate new lots |
For applications requiring enhanced specificity:
Affinity purification: Further purify polyclonal antibodies against recombinant SPAC11D3.04c protein to enrich for high-affinity antibodies.
Epitope-specific antibodies: Generate antibodies against unique peptide sequences in SPAC11D3.04c that have minimal homology with related proteins.
Genetic controls: Include appropriate negative controls such as gene deletion strains or CRISPR-engineered epitope alterations .
Competitive assays: Validate specificity through peptide competition experiments where excess antigen peptide should block specific binding.
Cross-adsorption: Remove cross-reactive antibodies by pre-incubating with extracts from SPAC11D3.04c deletion strains.
Monoclonal development: Consider developing monoclonal antibodies for applications requiring extreme specificity.
For enhanced detection of low-abundance proteins:
Sample enrichment: Concentrate samples through subcellular fractionation or organelle isolation to enrich for compartments where SPAC11D3.04c is localized.
Signal amplification: Employ enhanced chemiluminescence (ECL) systems with increased sensitivity or fluorescent secondary antibodies with signal amplification properties .
Protein precipitation: Use TCA or acetone precipitation to concentrate proteins from dilute samples.
Optimized extraction: Develop extraction protocols that specifically preserve SPAC11D3.04c, possibly including stabilizing agents or modified buffer compositions.
Targeted mass spectrometry: Implement selected reaction monitoring (SRM) or parallel reaction monitoring (PRM) methods for sensitive, targeted detection.
Proximity ligation assays: For in situ detection, proximity ligation can provide single-molecule sensitivity when conventional immunofluorescence is insufficient.
A comparative analysis of antibody performance:
While specific information about SPAC11D3.04c is limited in the provided search results, studies of similar proteins in S. pombe suggest:
Potential transcriptional regulation: If SPAC11D3.04c functions similarly to other zinc-finger proteins like Klf1, it may play roles in transcriptional regulation during specific cellular states or developmental phases .
Cell cycle-dependent interactions: Similar proteins show differential interactions depending on cell cycle phase, with some interactions specific to vegetative growth and others to G0 phase .
Protein complex formation: Zinc-finger proteins in S. pombe often form functional complexes with other regulatory proteins, which can be detected through co-immunoprecipitation approaches followed by mass spectrometry .
Potential roles in stress response: Many S. pombe regulatory proteins show altered expression or localization under stress conditions, which can be studied using specific antibodies.
Antibody-based evolutionary studies can reveal important insights:
Cross-species reactivity testing: Assess whether SPAC11D3.04c antibodies recognize homologous proteins in related species to determine epitope conservation.
Comparative immunoprecipitation: Perform parallel immunoprecipitation experiments in multiple yeast species to compare protein interaction networks around homologous proteins.
Functional conservation analysis: Use antibodies to examine whether homologous proteins in different species show similar:
Expression patterns during cell cycle
Subcellular localization
Post-translational modifications
Protein-protein interactions
Structural studies: Apply antibodies in structural biology approaches (e.g., cryo-EM) to compare protein complex architectures across species.
Response to environmental changes: Compare protein expression and modification patterns in response to environmental stressors across different yeast species using antibody-based detection methods.
Innovative antibody technologies offer new research possibilities:
Nanobodies and single-domain antibodies: These smaller antibody fragments may provide better access to epitopes in complex structures or crowded cellular environments.
Intrabodies: Antibodies engineered for intracellular expression could allow real-time tracking of SPAC11D3.04c in living cells.
Proximity-dependent labeling: Combining antibodies with enzymes like BioID or APEX2 would enable mapping of the proximal protein environment around SPAC11D3.04c.
Photo-crosslinking antibodies: Antibodies modified with photo-activatable crosslinkers could capture transient interactions that might be missed by conventional immunoprecipitation.
Split-protein complementation: Engineering antibody fragments fused to split reporter proteins could enable visualization of SPAC11D3.04c interactions in living cells.
To characterize post-translational modifications (PTMs):
Modification-specific antibodies: Develop antibodies that specifically recognize phosphorylated, acetylated, or otherwise modified forms of SPAC11D3.04c.
Mass spectrometry workflows: Implement enrichment strategies for specific PTMs (phosphopeptides, ubiquitinated peptides) followed by sensitive mass spectrometry detection.
Time-resolved analysis: Study dynamic changes in PTMs during cell cycle progression or in response to environmental stressors.
Site-directed mutagenesis: Validate functionally important modification sites by creating mutants that cannot be modified and assessing phenotypic consequences.
Proximity labeling approaches: Use enzyme-antibody conjugates to identify proteins that interact with specifically modified forms of SPAC11D3.04c.
Integration of CRISPR technology with antibody approaches offers powerful new research strategies:
Endogenous tagging: Use CRISPR to introduce epitope tags at the native SPAC11D3.04c locus for improved antibody detection without overexpression artifacts.
Domain-specific modifications: Engineer specific domains of SPAC11D3.04c to study their functions while maintaining native expression levels.
Conditional degradation systems: Introduce degron tags via CRISPR to enable rapid, conditional depletion of SPAC11D3.04c, followed by antibody-based analysis of resulting changes.
CUT&RUN or CUT&TAG: Combine CRISPR-engineered epitope tags with cutting-edge epigenomic profiling methods for high-resolution mapping of chromatin interactions.
CRISPR activation/repression: Use CRISPRa/CRISPRi systems to modulate SPAC11D3.04c expression levels and study dosage effects via antibody-based detection methods.