The SPAC6F6.13c Antibody (Product Code: CSB-PA515660XA01SXV) is a polyclonal rabbit-derived antibody developed for research applications targeting the SPAC6F6.13c protein in Schizosaccharomyces pombe (fission yeast). This antibody is designed for use in techniques such as enzyme-linked immunosorbent assay (ELISA) and Western blot (WB) to detect and study the SPAC6F6.13c protein, which is implicated in cellular processes including heterochromatin maintenance .
The antibody is primarily used for:
ELISA: Quantitative detection of SPAC6F6.13c in yeast lysates.
WB: Immunoblotting to confirm protein expression or localization in S. pombe cells.
Current data on SPAC6F6.13c are restricted to product specifications and basic validation. No studies demonstrate its utility in functional assays or its role in S. pombe biology. For example:
Heterochromatin Studies: While Mrc1Claspin is known to regulate heterochromatin , SPAC6F6.13c’s involvement in this process remains speculative.
Interactome Mapping: No evidence exists for its interaction with known chromatin regulators (e.g., Clr4 or Swi1).
The antibody’s cross-reactivity with other yeast species (e.g., Saccharomyces cerevisiae) has not been assessed.
Its compatibility with advanced techniques like fluorescence microscopy or proximity-dependent biotinylation (BioID) is unexplored.
KEGG: spo:SPAC6F6.13c
STRING: 4896.SPAC6F6.13c.1
SPAC6F6.13c is an uncharacterized membrane protein in Schizosaccharomyces pombe (fission yeast). As a membrane protein with unknown function, it represents an important research target for understanding cellular membrane dynamics and protein function in eukaryotic systems. S. pombe serves as an excellent model organism for studying fundamental cellular processes due to its relatively simple genome and similarity to higher eukaryotes in key cellular mechanisms. Research into SPAC6F6.13c may provide insights into conserved membrane protein functions across species.
Currently, polyclonal antibodies against SPAC6F6.13c are commercially available. According to the product specifications, these include:
| Antibody Type | Host | Clonality | Applications | Immunogen |
|---|---|---|---|---|
| Anti-SPAC6F6.13c | Rabbit | Polyclonal | ELISA, WB | Recombinant S. pombe (strain 972/ATCC 24843) SPAC6F6.13c protein |
The antibody is typically supplied in liquid form with a storage buffer containing 50% Glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. It is purified using antigen affinity methods and is designed for research use only .
When selecting between expression systems (E. coli, yeast, baculovirus, or mammalian cells) for SPAC6F6.13c antibody production, researchers should consider:
Post-translational modifications: Yeast or mammalian expression systems better reproduce the glycosylation patterns found in the native protein. Research indicates that antibody glycosylation can significantly affect half-life and function, as shown in plant-derived versus mammalian-derived antibody comparisons .
Protein folding: Membrane proteins often require eukaryotic expression systems for proper folding. For SPAC6F6.13c, data suggests that yeast expression systems might provide optimal protein folding due to the native environment.
Yield and purity: E. coli systems typically offer higher yields but may require additional optimization for membrane proteins.
Intended applications: For structural studies requiring high purity and homogeneity, insect or mammalian expression systems may be preferable despite lower yields .
SPAC6F6.13c antibodies have applications in chromatin research, particularly in:
ChIP (Chromatin Immunoprecipitation): For studying protein-DNA interactions, similar to methodologies used in fission yeast transcriptome analysis . ChIP-on-chip or ChIP-seq protocols can be adapted using:
Formaldehyde crosslinking (1% final concentration for 15-20 minutes)
Sonication to achieve 200-500bp DNA fragments
Immunoprecipitation with SPAC6F6.13c antibody (typically 2-5μg per reaction)
Reverse crosslinking and DNA purification
Histone modification studies: As described in research on histone acetylation in HDAC mutants, where microarray analysis following ChIP has been employed . For these applications, anti-H3 C-terminal antibodies can be used alongside SPAC6F6.13c antibodies to control for nucleosome occupancy.
For optimal Western blot results with SPAC6F6.13c antibodies:
Sample preparation: Due to its membrane localization, use specialized extraction buffers containing:
Non-ionic detergents (0.5-1% NP-40 or Triton X-100)
Chaotropic agents for complete solubilization
Protease inhibitor cocktail optimized for yeast proteins
SDS-PAGE conditions: Use 10-12% gels with extended run times for proper separation of the ~85 kDa protein.
Transfer optimization: Semi-dry transfer (25V for 30 minutes) or wet transfer (30V overnight at 4°C) for improved transfer of membrane proteins.
Blocking and antibody dilution:
Block with 5% non-fat dry milk in TBST for 1 hour at room temperature
Primary antibody dilution: 1:500 to 1:2000 in 5% BSA in TBST
Incubation: Overnight at 4°C for maximum sensitivity
Detection system: HRP-conjugated secondary antibodies with enhanced chemiluminescence provide optimal results for detecting low-abundance membrane proteins .
For structural studies of SPAC6F6.13c in membrane protein complexes, researchers should consider:
Cryo-EM sample preparation: Similar to approaches used for spike protein-antibody complexes , antibody fragmenting into Fab or scFv constructs can improve structural resolution by:
Reducing preferred orientation issues (common with membrane proteins)
Minimizing flexibility that compromises high-resolution reconstruction
Enabling better visualization of antibody-epitope interactions
Co-immunoprecipitation for complex identification:
Optimize crosslinking conditions (DSS or formaldehyde at 0.5-2mM)
Use adequate detergent concentrations to maintain protein-protein interactions
Analyze by mass spectrometry to identify novel interaction partners
Surface plasmon resonance (SPR) analysis: For quantitative binding studies, SPR can determine antibody affinity to the recombinant protein, with expected KD values in the 10^-9-10^-11 M range for high-affinity antibodies .
To investigate SPAC6F6.13c function using antibody-based techniques:
Proximity labeling with antibody-enzyme conjugates:
Conjugate biotin ligase (BirA) to anti-SPAC6F6.13c antibodies
Identify proximal proteins through streptavidin pulldown and mass spectrometry
Compare results with bioinformatic predictions based on protein sequence
Antibody-mediated protein depletion:
Develop degron-tagged constructs coupled with specific antibodies
Use the "Trim-Away" technique to induce rapid protein degradation
Monitor phenotypic changes to infer protein function
Subcellular localization studies:
Common challenges when working with SPAC6F6.13c antibodies include:
Specificity verification challenges:
Limited availability of knockout controls in S. pombe
Recommendation: Use heterologous expression systems with tagged versions of the protein
Validate using RNA interference and monitor antibody signal reduction
Membrane protein extraction difficulties:
Incomplete solubilization leading to poor detection
Solution: Test multiple detergent combinations (CHAPS, DDM, or SDS at varying concentrations)
Include thorough sonication steps (5-10 cycles of 30 seconds on/30 seconds off)
Background signal in immunofluorescence:
High autofluorescence from yeast cell walls
Mitigation strategy: Extended blocking (2+ hours) with 5% BSA and 2% normal goat serum
Include 0.1% Saponin in all buffers to improve antibody penetration
Batch-to-batch variability in polyclonal antibodies:
Establish robust validation protocols for each new lot
Maintain reference samples from successful experiments for comparison
To validate SPAC6F6.13c antibody specificity:
Gene deletion or knockdown approaches:
Create CRISPR/Cas9-mediated knockouts in S. pombe
Implement RNA interference targeting SPAC6F6.13c
Compare antibody signal between wild-type and deletion/knockdown strains
Peptide competition assays:
Pre-incubate antibody with excess recombinant SPAC6F6.13c protein
Observe signal reduction in Western blot or immunofluorescence
Use structurally similar but distinct membrane proteins as negative controls
Heterologous expression validation:
Express tagged versions (e.g., GFP or FLAG) of SPAC6F6.13c in different cell types
Compare localization patterns between anti-tag and anti-SPAC6F6.13c antibodies
Quantify co-localization coefficients (expect Pearson's R > 0.8 for specific antibodies)
Mass spectrometry validation:
When interpreting ChIP-seq data for SPAC6F6.13c:
Peak calling considerations:
Use appropriate controls (input DNA and IgG antibody controls)
Apply specialized algorithms for membrane-associated transcription factors
Consider broader peak distributions compared to typical nuclear transcription factors
Data normalization strategies:
Integration with transcriptome data:
Correlate binding sites with gene expression changes
Identify potential regulatory roles using GO term enrichment
Compare with known transcription factor binding sites from databases
Interpretation challenges:
Distinguish between direct DNA binding and indirect associations
Consider potential artifacts from crosslinking membrane proteins
Validate key findings with orthogonal methods like ChIP-qPCR
When facing contradictory results between antibody-based assays:
Epitope masking investigation:
Determine if protein-protein interactions might be blocking antibody access
Use multiple antibodies targeting different regions of SPAC6F6.13c
Apply mild denaturing conditions to expose potentially hidden epitopes
Post-translational modification interference:
Investigate if phosphorylation, glycosylation, or other modifications affect antibody binding
Use phosphatase or glycosidase treatments before antibody application
Employ modification-specific antibodies if available
Methodological reconciliation:
Compare fixation methods (formaldehyde vs. alternative crosslinkers)
Evaluate detergent effects on epitope accessibility
Assess buffer composition effects on antibody-antigen interactions
Quantitative validation:
Implement absolute quantification using recombinant protein standards
Compare different detection methods (fluorescence vs. chemiluminescence)
Calculate statistical significance of observed differences
For single-cell analysis with SPAC6F6.13c antibodies:
Single-cell Western blotting:
Microfluidic platforms can separate individual yeast cells
In-cell protein fixation followed by antibody probing
Quantification of protein levels across heterogeneous populations
Mass cytometry (CyTOF) applications:
Conjugate rare earth metals to SPAC6F6.13c antibodies
Simultaneously measure multiple parameters in single cells
Analyze protein expression in correlation with cell cycle markers
Spatial transcriptomics integration:
Combine antibody detection with RNA-seq at single-cell resolution
Map protein localization in relation to transcript distribution
Infer post-transcriptional regulation mechanisms
Technical considerations:
Future directions for antibody engineering in SPAC6F6.13c research include:
Bispecific antibody development:
Nanobody development:
Generate camelid-derived single-domain antibodies for improved membrane penetration
Leverage smaller size for accessing restricted epitopes
Enable super-resolution microscopy applications with minimal linkage error
Computational antibody design:
In vivo applications:
Develop membrane-permeable antibody fragments for live-cell imaging
Create optogenetic or chemically-inducible antibody systems
Engineer antibody-based biosensors to detect SPAC6F6.13c conformational changes
Implementing multiperspectival approaches (MPA) for SPAC6F6.13c research:
Integration of multiple methodological paradigms:
Application in S. pombe membrane protein studies:
Integrate quantitative (antibody quantification) with qualitative (localization) data
Combine temporal dynamics (time-course studies) with spatial organization
Incorporate multiple stakeholder perspectives (structural biologists, geneticists, cell biologists)
Implementation strategy:
Design experiments with parallel methodological tracks
Establish consistent validation criteria across methods
Create integrated data visualization approaches for complex datasets
For multimodal analysis with SPAC6F6.13c antibodies:
Combined fluorescence imaging and functional assays:
Correlate antibody-based localization with membrane potential measurements
Integrate proteomics data with functional transport assays
Map protein distribution in relation to lipid microdomains
Technical optimization:
Standardize fixation and permeabilization protocols across modalities
Ensure antibody compatibility with multiple detection systems
Develop computational pipelines for integrating heterogeneous data types
Interpretation frameworks:
Quality control measures:
Implement standardized controls across all modalities
Establish quantitative metrics for data integration
Validate findings through orthogonal methodologies