KEGG: spo:SPCC1020.11c
STRING: 4896.SPCC1020.11c.1
SPCC1020.11c is a gene in Schizosaccharomyces pombe (fission yeast) that encodes a protein predicted to function as an ER membrane protein complex subunit 6 . Antibodies against this protein are valuable tools for studying its localization, expression levels, and interactions within cellular pathways in S. pombe. These antibodies enable researchers to investigate fundamental ER membrane processes and protein trafficking mechanisms in this model organism.
Proper validation of SPCC1020.11c antibodies requires multiple complementary approaches:
Specificity testing: Demonstrate the antibody binds specifically to SPCC1020.11c protein using knockout or knockdown S. pombe strains as negative controls .
Western blot validation: Confirm the antibody detects a band of the expected molecular weight (~predicted kDa based on amino acid sequence) in wild-type S. pombe lysates but not in knockout strains .
Cross-reactivity assessment: Test against related proteins or strains expressing tagged versions of SPCC1020.11c to establish specificity .
Application-specific validation: Validate separately for each application (WB, IF, IP) as antibody performance may vary between techniques .
Positive and negative controls: Include controls in all experiments to confirm specificity and sensitivity .
This multi-method approach ensures the antibody is truly detecting SPCC1020.11c and not cross-reacting with other proteins .
When using SPCC1020.11c antibodies in research, document the following essential information:
Comprehensive documentation enables other researchers to reproduce your work and properly interpret your findings .
Designing appropriate controls for SPCC1020.11c antibody experiments requires:
Essential controls:
Positive control: Wild-type S. pombe strain expressing SPCC1020.11c
Negative control: SPCC1020.11c knockout strain (if available) or pre-immune serum
Secondary antibody-only control: To identify non-specific secondary antibody binding
Peptide competition control: Pre-incubation of antibody with immunizing peptide should abolish specific signal
Advanced controls:
Tagged SPCC1020.11c: Compare antibody detection with anti-tag antibody detection
Heterologous expression: Overexpressed SPCC1020.11c in another system should show enriched signal
Orthogonal detection methods: Compare antibody results with mass spectrometry or other antibody-independent methods
Proper controls distinguish genuine signals from artifacts and validate experimental findings .
To thoroughly characterize SPCC1020.11c antibody specificity, employ these methods:
Genetic strategies: Use CRISPR/Cas9-generated knockout or knockdown S. pombe strains as gold-standard negative controls .
Orthogonal strategies: Compare antibody detection with antibody-independent methods such as RNA-seq or mass spectrometry .
Multiple antibody approach: Use different antibodies targeting distinct epitopes of SPCC1020.11c to confirm signals .
Recombinant expression analysis: Test antibody against recombinant SPCC1020.11c protein and compare with endogenous detection .
Immunoprecipitation-mass spectrometry: Identify proteins captured by the antibody to confirm target specificity and detect potential cross-reactivity .
This comprehensive approach provides the highest confidence in antibody specificity and research results .
To determine the optimal working concentration for SPCC1020.11c antibodies:
Perform titration experiments:
Test a range of antibody dilutions (typically 1:100 to 1:10,000)
Include positive controls (wild-type samples) and negative controls (knockout or pre-immune serum)
Evaluate signal-to-noise ratio:
Calculate the ratio between specific signal and background
Select the concentration that maximizes specific signal while minimizing background
Consider application-specific factors:
Protein abundance considerations:
The optimal concentration provides maximum signal specificity with minimal background interference .
When encountering cross-reactivity with SPCC1020.11c antibodies:
Identify the source of cross-reactivity:
Compare banding patterns between wild-type and knockout samples
Use peptide competition assays to determine which bands are specific
Consider phylogenetic analysis to identify similar proteins in S. pombe
Optimize experimental conditions:
Alternative approaches:
Validation in knockout systems:
Systematic troubleshooting can significantly improve specificity and experimental outcomes .
For quantitative analyses using SPCC1020.11c antibodies, consider:
Antibody linearity assessment:
Standardization protocols:
Signal quantification methods:
Use digital imaging systems with appropriate dynamic range
Apply background subtraction consistently
Avoid saturated signals which prevent accurate quantification
Sources of variability:
Statistical analysis:
Apply appropriate statistical tests for your experimental design
Consider power analyses to determine adequate sample sizes
Account for technical variation in measurements
Proper quantitative analysis requires rigorous methodology to ensure reliable and reproducible results .
To optimize immunoprecipitation with SPCC1020.11c antibodies:
Cell lysis optimization:
Test different lysis buffers appropriate for membrane proteins
Consider detergent selection carefully (e.g., NP-40, Triton X-100, CHAPS)
Include protease inhibitors to prevent degradation
For S. pombe, optimize cell wall disruption methods
Antibody binding conditions:
Determine optimal antibody-to-lysate ratio
Test different incubation times (2h to overnight) and temperatures (4°C is standard)
Consider pre-clearing lysates to reduce non-specific binding
Bead selection and handling:
Elution strategies:
Compare different elution methods (pH, competitive, denaturing)
Select method compatible with downstream applications
For difficult targets, consider on-bead digestion for mass spectrometry
Verification methods:
Optimization can significantly improve specificity and yield in immunoprecipitation experiments .
When using SPCC1020.11c antibodies across different experimental models:
Species considerations:
Sample preparation variations:
For fixed samples: Optimize fixation methods (formaldehyde, methanol, etc.)
For tissue sections: Test antigen retrieval methods if necessary
For live cell applications: Verify antibody performance under non-denaturing conditions
Genetic modification considerations:
In tagged systems: Ensure tags don't interfere with antibody epitopes
In mutant strains: Consider how mutations might affect epitope recognition
In heterologous expression systems: Account for differences in post-translational modifications
Application-specific optimizations:
Careful validation in each experimental system ensures reliable and interpretable results .
To study protein-protein interactions involving SPCC1020.11c:
Co-immunoprecipitation approaches:
Proximity labeling techniques:
Combine antibody-based detection with BioID or APEX2 proximity labeling
Use antibodies to confirm localization of proximity-labeled proteins
Compare interactomes under different cellular conditions
Microscopy-based interaction studies:
Use SPCC1020.11c antibodies with antibodies against suspected interactors
Perform quantitative colocalization analysis
Consider super-resolution techniques for detailed spatial analysis
Validation strategies:
These approaches provide complementary data about SPCC1020.11c interaction networks .
To study post-translational modifications (PTMs) of SPCC1020.11c:
PTM-specific antibody approaches:
Use phospho-specific, ubiquitin-specific, or other PTM-specific antibodies
Validate PTM-specific antibodies using mutants that cannot be modified
Combine with general SPCC1020.11c antibodies to determine modified fraction
Enrichment strategies:
Immunoprecipitate SPCC1020.11c first, then probe for PTMs
Use PTM-specific enrichment (phospho-enrichment, ubiquitin capture) followed by SPCC1020.11c detection
Compare modified protein levels under different conditions
Mass spectrometry integration:
Immunoprecipitate SPCC1020.11c for MS analysis of PTMs
Use targeted MS approaches to quantify specific modified peptides
Compare modification profiles between experimental conditions
Functional validation:
These methodologies enable detailed characterization of SPCC1020.11c regulation through PTMs .
To integrate SPCC1020.11c antibody-based detection with quantitative proteomics:
Sample preparation strategies:
Use immunoprecipitation to enrich for SPCC1020.11c and interacting proteins
Consider SPCC1020.11c as an internal normalization control where appropriate
Develop fractionation schemes to maximize detection of low-abundance interactors
Quantification approaches:
Validation workflows:
Advanced applications:
Study protein complex stoichiometry using both antibody and MS approaches
Track protein turnover rates by pulse-chase combined with antibody detection
Map protein-protein interaction dynamics across different cellular states
This integrated approach leverages the strengths of both antibody-based detection and MS-based proteomics .
When developing multiplexed assays with SPCC1020.11c antibodies:
Antibody compatibility assessment:
Test for cross-reactivity between antibodies used in multiplexing
Verify that detection systems don't interfere with each other
Optimize dilutions of each antibody in the multiplex context
Technical considerations:
For fluorescence-based detection, select fluorophores with minimal spectral overlap
For colorimetric assays, ensure signal separation is possible
For sequential detection, verify complete stripping or inactivation between rounds
Validation strategies:
Data analysis approaches:
Develop compensation algorithms if needed
Consider advanced image analysis for colocalization studies
Implement statistical methods appropriate for multiplexed data
Application-specific optimizations:
Careful optimization ensures reliable data from multiplexed assays involving SPCC1020.11c antibodies .
When publishing research using SPCC1020.11c antibodies, include:
Complete antibody information:
Validation information:
Detailed methods:
Result interpretation:
Thorough reporting enables reproducibility and proper evaluation of findings by the scientific community .
To address reviewer concerns about SPCC1020.11c antibody specificity:
Provide comprehensive validation data:
Address specific reviewer concerns:
For concerns about cross-reactivity: Perform additional controls with related proteins
For concerns about non-specific binding: Show results with additional blocking conditions
For concerns about reproducibility: Provide data from multiple experimental replicates
Reference established validation criteria:
Be transparent about limitations:
Thorough, evidence-based responses demonstrating rigorous validation will strengthen your manuscript .