The term "SPAC14C4.07 Antibody" does not appear in any peer-reviewed journals, commercial antibody catalogs (e.g., Antibody Research Corporation, Sino Biological), or public repositories like PubMed Central or NCBI. This suggests one of the following scenarios:
The antibody is part of a highly specialized, unpublished study.
The identifier may refer to an internal/non-standardized designation used in a specific research group or preprint.
Potential typographical errors in the compound name.
To investigate "SPAC14C4.07 Antibody," consider the following actions:
| Action | Purpose |
|---|---|
| Consult specialized databases (UniProt, AntibodyRegistry) | Verify cross-referenced identifiers or sequences. |
| Review preprints (bioRxiv, arXiv) | Identify unpublished or ongoing research. |
| Contact academic institutions | Confirm usage in niche studies (e.g., fungal or plant immunology). |
While data on "SPAC14C4.07" is unavailable, the search results provide foundational insights into antibody roles and structures:
Structure: Antibodies typically have Y-shaped configurations with Fab (antigen-binding) and Fc (effector function) regions .
Functions: Include pathogen neutralization, opsonization, and complement activation .
Classes: IgG, IgM, IgA, IgE, and IgD differ in heavy chains and biological roles .
The absence of data in authoritative sources highlights the need for caution. Claims about "SPAC14C4.07 Antibody" in non-peer-reviewed contexts should be rigorously validated to avoid misinformation.
KEGG: spo:SPAC14C4.07
STRING: 4896.SPAC14C4.07.1
SPAC14C4.07 encodes Sup11p, a protein involved in significant cell wall remodeling processes in Schizosaccharomyces pombe. Research indicates that depletion of Sup11p induces substantial changes in cell wall structure and composition, affecting the expression of numerous glucanases and glucan-related enzymes . The protein appears to be essential for cell viability, making it a critical target for fundamental research in yeast cell biology. Understanding Sup11p function provides insights into cell wall integrity pathways, protein glycosylation processes, and potentially conserved mechanisms across fungal species.
SPAC14C4.07 antibodies can be utilized across multiple experimental applications, similar to other yeast protein antibodies. Based on established protocols for related research antibodies, the following applications are typically effective:
| Application | Recommended Dilution | Optimal Conditions | Special Considerations |
|---|---|---|---|
| Western Blotting | 1:500-1:2000 | Reducing conditions | Complete cell lysis critical |
| Immunofluorescence | 1:50-1:200 | Fixation with 4% paraformaldehyde | Cell wall digestion required |
| Flow Cytometry | 1:50-1:100 | Spheroplast preparation | Careful calibration needed |
| Immunoprecipitation | 1:50 | Optimized lysis buffers | Cross-linking may improve results |
For all applications, it is recommended to optimize conditions using positive and negative controls as demonstrated in antibody validation protocols for similar S. pombe proteins .
Effective spheroplast preparation is critical when detecting intracellular targets in yeast. For S. pombe cells expressing SPAC14C4.07/Sup11p, follow this optimized protocol:
Harvest mid-log phase cells (OD600 0.5-0.8) by centrifugation (1000×g, 5 minutes)
Wash cell pellet with spheroplast buffer (1.2 M sorbitol, 50 mM sodium citrate, pH 5.8)
Resuspend cells in spheroplast buffer containing 10 mg/ml zymolyase-20T and 5 mM β-mercaptoethanol
Incubate at 30°C with gentle agitation, monitoring spheroplast formation microscopically
Stop digestion by adding cold spheroplast buffer
Centrifuge spheroplasts at reduced speed (400×g, 5 minutes)
Proceed with subsequent analysis or lysis steps
This protocol has been adapted from established spheroplasting methods for S. pombe as referenced in proteinase K protection assays . Complete digestion of the cell wall is essential for antibody accessibility to intracellular antigens, but over-digestion can compromise cellular integrity and protein detection.
Topology analysis of Sup11p (encoded by SPAC14C4.07) indicates it is a luminal-oriented protein anchored via a signal anchor sequence . This membrane association presents specific challenges for antibody detection. When selecting antibodies, consider:
Epitope accessibility in the luminal domain versus the membrane-anchored region
Fixation and permeabilization requirements that maintain membrane integrity while allowing antibody access
Detergent selection for protein extraction that effectively solubilizes membrane proteins without disrupting antibody-epitope interactions
For membrane-associated proteins like Sup11p, antibodies raised against luminal domains typically yield more consistent results in immunofluorescence applications, while antibodies targeting multiple domains may be more effective for denatured applications like Western blotting.
Research indicates that Sup11p undergoes O-mannosylation, which significantly impacts protein recognition by antibodies . Additionally, unusual N-glycosylation patterns have been observed in certain mutant backgrounds (e.g., oma4 mutants) . These modifications can alter epitope accessibility and antibody binding in several ways:
Glycosylation sites may mask epitopes recognized by antibodies
Conformational changes induced by glycosylation can affect antibody binding efficiency
Glycosylation patterns may vary under different experimental conditions or genetic backgrounds
When using SPAC14C4.07 antibodies, consider these approaches:
Use deglycosylation treatments (EndoH treatment) before Western blotting to improve detection
Compare antibody performance using antibodies targeting different regions of the protein
Include appropriate controls when working with glycosylation pathway mutants
Document the specific post-translational state of your protein samples when reporting results
Due to post-translational modifications, particularly glycosylation, the apparent molecular weight of Sup11p in SDS-PAGE can differ from its predicted weight based on amino acid sequence. Similar observations have been documented for other glycosylated proteins like the Ly-6B.2 antigen, where N-glycanase treatment reduced the apparent molecular weight from 25-30 kDa to approximately 15 kDa .
For Sup11p, researchers should expect:
The predicted molecular weight based on amino acid sequence
Higher apparent molecular weights in wild-type cells due to O-mannosylation
Altered migration patterns in glycosylation mutants
Potential shifts after endoglycosidase treatments
Including appropriate size controls and glycosylation mutants in experimental designs helps interpret these variations accurately.
Investigating Sup11p interactions within the secretory pathway requires specialized approaches due to its membrane localization and role in protein glycosylation. Recommended techniques include:
Co-immunoprecipitation with membrane solubilization:
Use mild detergents (0.5-1% NP-40 or Digitonin) to preserve protein complexes
Include protease inhibitors and appropriate buffer conditions
Perform reciprocal IPs with antibodies against suspected interaction partners
Proximity labeling approaches:
Express Sup11p fused to BioID or APEX2 enzymes
Allow in vivo biotinylation of proximal proteins
Purify biotinylated proteins and identify by mass spectrometry
Split-reporter systems:
Fuse Sup11p to one half of a split fluorescent protein
Fuse candidate interacting proteins to the complementary half
Monitor for reconstituted fluorescence indicating proximity
These methods can be applied to investigate Sup11p's role in glycosylation pathways and cell wall integrity signaling networks, similar to approaches used for studying protein interactions in related biological processes .
When using antibodies to study how SPAC14C4.07/Sup11p expression impacts transcriptional responses, particularly in glycosylation pathways, implement these critical controls:
Genetic controls:
Include sup11+ deletion strains complemented with plasmid-expressed Sup11p
Use inducible promoter systems to modulate Sup11p levels
Include glycosylation pathway mutants (e.g., oma mutants) as comparative controls
Technical controls:
Validate antibody specificity using epitope-tagged versions and untagged controls
Include isotype controls for immunoprecipitation experiments
Perform depletion/add-back experiments to confirm specificity of observed effects
Transcriptional validation:
Confirm antibody-based observations with orthogonal methods (RT-qPCR, RNA-seq)
Use reporter constructs to validate transcriptional effects
Perform chromatin immunoprecipitation to distinguish direct from indirect effects
Microarray analysis has previously demonstrated that Sup11p depletion induces significant transcriptional changes related to cell wall remodeling processes , making these controls essential for accurate data interpretation.
For proteins involved in cell wall processes, redox conditions can significantly impact structure and function. To assess redox sensitivity of Sup11p:
Use ratiometric measurements with redox-sensitive GFP (roGFP2) fusions:
Generate Sup11p-roGFP2 fusion constructs
Monitor oxidation states under various cellular conditions
Compare results with established redox sensors
Implement non-reducing versus reducing gel electrophoresis:
Prepare samples without and with reducing agents (DTT, β-mercaptoethanol)
Compare migration patterns to identify potential disulfide bonds
Use thiol-modifying reagents to trap specific redox states
Perform site-directed mutagenesis of cysteine residues:
Systematically mutate cysteine residues in Sup11p
Assess functional consequences through phenotypic analysis
Determine which cysteines are critical for redox-dependent activities
These approaches can be integrated with ratiometric redox measurements similar to those described for roGFP2 systems in related studies .
Detection of Sup11p can be particularly challenging in certain genetic backgrounds, especially glycosylation mutants. Common issues and solutions include:
| Issue | Possible Cause | Recommended Solution |
|---|---|---|
| Reduced signal intensity | Altered protein expression | Normalize loading based on total protein rather than housekeeping controls |
| Unexpected band patterns | Modified glycosylation | Compare with and without endoglycosidase treatment |
| No detectable signal | Epitope masking | Try antibodies targeting different regions of the protein |
| Multiple bands | Degradation products | Add additional protease inhibitors; optimize extraction conditions |
| Background noise | Cross-reactivity | Increase blocking time; optimize antibody dilution; use monoclonal alternatives |
In oma4 mutant backgrounds specifically, unusual N-glycosylation of Sup11p has been observed , which may require adjusting detection protocols to account for these modifications.
Distinguishing direct from indirect effects of Sup11p depletion requires carefully designed experiments:
Temporal analysis:
Use time-course experiments with inducible depletion systems
Monitor earliest detectable changes following Sup11p depletion
Compare with known immediate-early response genes
Genetic separation of functions:
Generate domain-specific mutants of Sup11p
Identify separable phenotypes associated with distinct protein domains
Use complementation assays with mutant variants
Direct biochemical validation:
Perform in vitro reconstitution of suspected direct activities
Use purified components to test specific biochemical functions
Implement crosslinking approaches to capture transient interactions
These approaches have been utilized in related studies examining cell wall remodeling processes and protein glycosylation pathways in S. pombe .
For improved detection of low-abundance Sup11p across cellular compartments:
Subcellular fractionation enhancement:
Implement differential centrifugation optimized for membrane proteins
Use density gradient centrifugation to separate specific organelles
Verify fraction purity with compartment-specific markers
Signal amplification techniques:
Employ tyramide signal amplification for immunofluorescence
Use high-sensitivity detection substrates for Western blotting
Consider proximity ligation assays for in situ detection
Sample enrichment approaches:
Perform affinity purification of tagged versions
Implement cell synchronization to capture cell-cycle specific expression peaks
Use proteasome inhibitors if protein has high turnover rate
These approaches are particularly relevant for membrane proteins like Sup11p that may have restricted localization patterns or expression levels that vary across growth conditions .
When facing discrepancies between different detection methods:
First, consider methodological differences:
Native versus denaturing conditions affecting epitope accessibility
Differential sensitivity to post-translational modifications
Variation in detection limits between methods
Implement validation strategies:
Use orthogonal detection methods (e.g., mass spectrometry)
Employ multiple antibodies targeting different epitopes
Verify with genetically tagged versions of the protein
Account for biological variables:
Cell cycle stage variations in protein expression or modification
Growth conditions affecting protein localization or abundance
Strain background differences influencing protein processing
Systematic documentation of these variables in experimental reports enables more robust interpretation of apparently conflicting results across different studies.
For quantitative analysis of Sup11p experiments, consider these statistical approaches:
For Western blot densitometry:
Implement linear range validation for quantification
Use ANOVA with post-hoc tests for multiple condition comparisons
Include technical and biological replication in experimental design
For microscopy-based quantification:
Apply unbiased sampling approaches (systematic random sampling)
Use appropriate colocalization coefficients (Pearson's, Manders')
Implement machine learning approaches for complex pattern recognition
For proteomics integration:
Employ appropriate normalization for comparing abundance across samples
Use pathway enrichment analysis for related proteins
Implement data integration across multiple omics platforms
These statistical approaches should be selected based on experimental design and adjusted for multiple comparisons when appropriate.