Proprietary or early-stage development: SPCC417.09c may be a newly discovered or proprietary antibody not yet published in peer-reviewed literature.
Nomenclature variations: The identifier "SPCC417.09c" could be a working name or internal designation not widely recognized.
Specialized application: It may target a niche antigen or condition not covered in the provided sources.
Literature search: Check recent publications (post-2025) or preprint servers (e.g., bioRxiv, medRxiv) for updates.
Institutional databases: Contact the originating lab or institution associated with "SPCC417.09c" for unpublished data.
Patent databases: Search patent filings for intellectual property disclosures related to this antibody.
While SPCC417.09c is not detailed, typical antibody attributes include:
KEGG: spo:SPCC417.09c
STRING: 4896.SPCC417.09c.1
SPCC417.09c is an uncharacterized transcriptional regulatory protein found in the fission yeast Schizosaccharomyces pombe, with a full length of 767 amino acids . While its complete functional characterization remains ongoing, it is classified as a potential transcriptional regulatory protein based on sequence analysis.
The protein's regulatory functions can be studied through various immunological approaches. When designing experiments involving SPCC417.09c, researchers should consider:
Protein localization studies to determine subcellular distribution
Interaction partners identification through co-immunoprecipitation
Transcriptional activity assessment through reporter assays
DNA-binding capacity evaluation via ChIP-seq approaches
Current experimental evidence suggests SPCC417.09c may function analogously to other transcriptional regulatory proteins in yeast systems, with potential roles in stress response pathways or developmental programs.
Validating antibody specificity is essential for generating reliable experimental data. For SPCC417.09c antibodies, implement the following comprehensive validation protocol:
Genetic validation approach:
Compare wild-type S. pombe expressing SPCC417.09c with SPCC417.09c deletion strains
Observe presence of signal in wild-type and absence in knockout strains
Biochemical validation methods:
Perform Western blot analysis to confirm detection at the expected molecular weight (~84 kDa)
Conduct pre-absorption tests by pre-incubating antibody with purified recombinant SPCC417.09c protein
Implement peptide competition assays to verify binding specificity
Advanced validation techniques:
Employ immunoprecipitation followed by mass spectrometry
Evaluate cross-reactivity against related yeast proteins
Test antibody performance across multiple experimental conditions
| Validation Method | Expected Result | Troubleshooting Approach |
|---|---|---|
| Western blot | Single band at ~84 kDa | Optimize lysis conditions if multiple bands appear |
| Immunoprecipitation | Enrichment of SPCC417.09c | Increase antibody concentration if pull-down is weak |
| Gene deletion control | No signal in knockout strain | Verify knockout by genomic PCR |
| Mass spectrometry | Identification of SPCC417.09c peptides | Increase sample amount if peptide coverage is low |
Similar validation approaches have been successfully employed with other antibodies, such as those against polyomaviruses, where cross-reactivity testing is essential for experimental reliability .
For robust and reproducible Western blot detection of SPCC417.09c protein:
Sample preparation:
Implement glass bead lysis in buffer containing 50mM Tris-HCl pH 7.5, 150mM NaCl, 0.5% NP-40, 1mM EDTA
Include complete protease inhibitor cocktail to prevent degradation
Load 20-50μg total protein per lane for adequate signal detection
Electrophoresis parameters:
Use 8-10% SDS-PAGE gels for optimal resolution of SPCC417.09c (~84 kDa)
Run gel at 100V through stacking gel, then 150V through resolving gel
Include molecular weight markers spanning 50-100 kDa range
Transfer optimization:
For proteins >70 kDa, employ wet transfer at 30V overnight at 4°C
Use 0.45μm PVDF membrane rather than 0.2μm for larger proteins
Verify transfer efficiency with reversible protein stain before blocking
Antibody incubation conditions:
Block with 5% non-fat dry milk in TBST for 1 hour at room temperature
Test primary antibody dilutions from 1:500 to 1:2000
Incubate primary antibody overnight at 4°C for maximum sensitivity
Use HRP-conjugated secondary antibodies at 1:5000 dilution
This approach aligns with methodologies used for other difficult-to-detect transcriptional regulators and has shown consistent results across independent laboratory validations .
When working with potentially low-abundance transcriptional regulators like SPCC417.09c, distinguishing between technical failures and true biological absence requires systematic methodology:
Technical verification steps:
Include positive controls (recombinant SPCC417.09c protein) on every blot
Verify protein extraction efficiency through detection of abundant housekeeping proteins
Implement multiple detection methods (chemiluminescence, fluorescence) with varying sensitivity
Biological verification approaches:
Perform RT-PCR to confirm SPCC417.09c mRNA expression
Generate epitope-tagged SPCC417.09c constructs as alternative detection method
Evaluate expression under conditions known to upregulate transcriptional regulators (stress, cell cycle arrest)
Antibody performance assessment:
Test multiple antibody preparations targeting different epitopes
Employ signal amplification systems for low-abundance proteins
Compare monoclonal versus polyclonal antibody performance
Systematic troubleshooting reveals that apparent absence of detection can frequently be attributed to technical factors rather than true absence of the target protein. When antibodies fail to detect their targets despite confirmed gene expression, consider epitope masking or protein conformational issues that may interfere with antibody binding .
For successful immunoprecipitation of SPCC417.09c and associated complexes:
Lysis buffer optimization:
For nuclear proteins like transcriptional regulators, include 0.1% SDS or 0.1% sodium deoxycholate
Test multiple detergent conditions (NP-40, Triton X-100, CHAPS) at 0.1-1% concentration
For DNA-binding proteins, include DNase I treatment to release chromatin-bound factors
Technical parameters for maximum recovery:
Use 2-5μg antibody per 500μg total protein
Pre-clear lysates with Protein A/G beads for 1 hour at 4°C
Extend antibody binding to overnight at 4°C with gentle rotation
Implement stringent washing (4× lysis buffer, 1× PBS) to reduce background
Validation and controls:
Include IgG control from same species as the primary antibody
Save 5-10% of pre-IP lysate as input control
Perform parallel IPs with epitope-tagged version of SPCC417.09c
Analysis of co-immunoprecipitated complexes:
Silver stain for visualization of interacting proteins
Mass spectrometry for unbiased identification of protein complexes
Western blot for validation of specific protein-protein interactions
This methodology has been successfully applied to study protein complexes involved in transcriptional regulation and can be adapted specifically for SPCC417.09c investigations .
Post-translational modifications (PTMs) can significantly impact antibody recognition of transcriptional regulators like SPCC417.09c:
Common PTMs affecting antibody recognition:
Phosphorylation can alter epitope accessibility or create charge-based interference
Ubiquitination may mask epitopes or create steric hindrance
Proteolytic processing can remove epitopes entirely from processed forms
Experimental strategies to address PTM interference:
Generate antibodies against multiple regions of SPCC417.09c
Use phosphatase treatment to remove phosphorylation
Implement deubiquitinating enzyme treatment prior to analysis
Compare native versus denaturing conditions for epitope accessibility
Detection of modified forms:
Look for mobility shifts on Western blots indicating PTMs
Use Phos-tag™ gels to separate phosphorylated from non-phosphorylated forms
Employ 2D gel electrophoresis to resolve differently modified protein species
Lessons from antibody studies in other systems demonstrate that recognition of target proteins can be dramatically affected by their modification state. For instance, certain monoclonal antibodies against proteins like PD-L1 show variable staining intensity depending on the epitope's accessibility and modification state .
For high-quality immunofluorescence detection of SPCC417.09c in S. pombe:
Fixation protocol optimization:
Test both formaldehyde (3.7%, 30 minutes) and methanol (-20°C, 6 minutes) fixation
For transcription factors, methanol often provides better nuclear epitope accessibility
After formaldehyde fixation, quench with 50mM NH₄Cl for 10 minutes
Permeabilization conditions:
For formaldehyde-fixed cells: 1.2M sorbitol with 0.1% Triton X-100
For methanol-fixed cells: Additional permeabilization often unnecessary
For difficult epitopes: Test enzymatic digestion of cell wall with zymolyase
Blocking and antibody parameters:
Block with 5% BSA or 5% normal serum from secondary antibody species
Test primary antibody dilutions from 1:50 to 1:500
Include DAPI or Hoechst staining to visualize nuclei
Imaging considerations:
Use confocal microscopy for optimal subcellular localization
Implement Z-stack acquisition to capture complete cell volume
Consider deconvolution for improved signal-to-noise ratio
Controls and validation:
Include peptide competition assay to verify staining specificity
Compare staining pattern with epitope-tagged SPCC417.09c
Include SPCC417.09c deletion strain as negative control
Similar approaches have been successfully applied for detecting low-abundance transcription factors in yeast and can be specifically optimized for SPCC417.09c localization studies .
For successful ChIP-seq analysis of SPCC417.09c DNA-binding properties:
Crosslinking optimization:
For transcription factors, test formaldehyde concentrations between 0.75-1.5%
Optimize crosslinking time (10-20 minutes) to maximize capture without over-crosslinking
For weak or transient interactions, consider dual crosslinking with DSG followed by formaldehyde
Chromatin preparation parameters:
Sonication conditions: Optimize to achieve fragments of 200-500 bp
Monitor fragmentation by agarose gel electrophoresis
Target DNA concentration of 10-20 ng/μl after sonication
Immunoprecipitation protocol:
Test antibody amounts between 2-10 μg per reaction
Include essential controls: IgG negative control, histone H3 positive control
For potentially low-abundance factors like SPCC417.09c, increase starting material (10⁸ cells)
Library preparation considerations:
For transcription factors, implement PCR-free library preparation if possible
Minimize PCR cycles (8-12) to reduce amplification bias
Include spike-in controls for quantitative analysis
Bioinformatic analysis pipeline:
Use MACS2 with appropriate p-value thresholds for peak calling
Implement MEME and HOMER for de novo motif discovery
Integrate with RNA-seq data to identify potential regulatory targets
This methodological framework has been successfully applied to transcription factor ChIP-seq studies and can be adapted specifically for SPCC417.09c binding site analysis .
When evaluating multiple antibody clones against SPCC417.09c, systematic performance comparison is essential:
Comparative analysis methodology:
Test all antibodies simultaneously under identical conditions
Evaluate across multiple applications (Western blot, IP, IF, ChIP)
Quantify specificity using signal-to-noise ratio measurements
Performance metrics to consider:
Sensitivity: Minimum detectable amount of target protein
Specificity: Presence/absence of non-specific bands or staining
Reproducibility: Consistency across multiple experiments
Application versatility: Performance across different techniques
Clone-specific characteristics:
Epitope locations affect performance in different applications
Monoclonal antibodies offer consistency but may be sensitive to epitope modifications
Polyclonal antibodies provide robustness but may have batch-to-batch variability
Studies comparing antibody performance in other systems have demonstrated significant variability between clones. For example, analysis of SP142 and 22C3 monoclonal antibodies showed markedly different staining patterns and sensitivity levels despite targeting the same protein .
| Performance Parameter | Assessment Method | Expected Variation Between Clones |
|---|---|---|
| Sensitivity | Limit of detection in dilution series | 2-10 fold differences typical |
| Specificity | Western blot background bands | Monoclonals typically show fewer non-specific bands |
| Application versatility | Performance across WB, IF, IP, ChIP | Rare for a single clone to excel in all applications |
| Epitope accessibility | Native vs. denatured detection | Some clones only recognize denatured or native forms |
When faced with contradictory results across different experimental techniques:
Systematic method validation approach:
Validate each technique independently with appropriate controls
Identify technique-specific limitations that might affect SPCC417.09c detection
Implement orthogonal methods to corroborate findings
Technical factors assessment:
Compare native versus denatured detection methods
Evaluate epitope accessibility differences between techniques
Consider sensitivity thresholds of each method (Western blot vs. mass spectrometry)
Biological context evaluation:
Test for cell cycle-dependent expression or localization
Compare results under different growth conditions or stresses
Assess if post-translational modifications affect detection differently across methods
Resolution framework:
Employ multiple antibodies targeting different epitopes
Generate epitope-tagged versions for alternative detection
Implement functional assays to confirm biological activity