KEGG: spo:SPCC594.04c
STRING: 4896.SPCC594.04c.1
SPCC594.04c is an uncharacterized protein from Schizosaccharomyces pombe (fission yeast) that belongs to the steroid oxidoreductase superfamily (predicted) . This protein is of interest to researchers studying fundamental cellular processes in eukaryotic model organisms. S. pombe serves as an excellent model system for investigating conserved cellular mechanisms due to its similarity to higher eukaryotes in cell cycle regulation, chromosome structure, and RNA processing pathways . The antibodies against this protein enable detection and study of its expression, localization, and potential functions in cellular processes.
SPCC594.04c antibodies are primarily used in Western Blot (WB) and ELISA applications to identify and quantify the protein . These antibodies are generated in rabbits against S. pombe (strain 972/24843) and purified through antigen-affinity methods, resulting in IgG-type antibodies with high specificity . When conducting research with these antibodies, it's essential to include appropriate controls and validate the antibody using known positive samples to confirm specificity, especially since SPCC594.04c is an uncharacterized protein.
The choice depends on your experimental goals:
Recombinant SPCC594.04c protein (available from E. coli, yeast, baculovirus, or mammalian cell expression systems ) is typically used as:
A positive control in Western blot or immunoprecipitation experiments
An immunogen for generating custom antibodies
A substrate in enzymatic assays to characterize protein function
A protein standard for quantification purposes
SPCC594.04c antibodies are used to:
Detect endogenous SPCC594.04c protein in cell or tissue samples
Study protein expression levels under different conditions
Localize the protein within cellular compartments using immunofluorescence
Immunoprecipitate the protein for protein-protein interaction studies
Both tools complement each other in a comprehensive research approach to uncharacterized proteins .
When optimizing Western blot conditions for SPCC594.04c antibody, consider the following methodological approach:
Sample preparation: Fission yeast cells should be lysed using glass bead disruption in a buffer containing protease inhibitors to prevent degradation.
Protein denaturation: Test both reducing and non-reducing conditions, as the steroid oxidoreductase superfamily proteins may have important disulfide bonds.
Antibody dilution series: Begin with a 1:1000 dilution and perform a titration (1:500, 1:1000, 1:2000, 1:5000) to determine optimal signal-to-noise ratio.
Blocking optimization: Compare 5% non-fat milk versus 3-5% BSA in TBST as blocking agents.
Incubation conditions: Test both overnight incubation at 4°C and 2-hour incubation at room temperature.
Controls: Include both positive controls (purified recombinant SPCC594.04c protein) and negative controls (lysate from a SPCC594.04c deletion strain if available).
Detection system: HRP-conjugated secondary antibodies with chemiluminescent detection are recommended for high sensitivity .
The antibody has demonstrated ≥85% purity as determined by SDS-PAGE , making it suitable for most standard immunodetection methods with proper optimization.
For successful immunoprecipitation using SPCC594.04c antibody, follow this methodological workflow:
Cell lysis: Lyse S. pombe cells in a buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 0.5% NP-40, 1 mM EDTA, and protease inhibitor cocktail.
Pre-clearing: Incubate lysate with Protein G beads for 1 hour at 4°C to reduce non-specific binding.
Antibody binding: Add 2-5 μg of SPCC594.04c antibody to 500 μg of pre-cleared lysate and incubate overnight at 4°C with gentle rotation.
Immunoprecipitation: Add 30 μl of Protein G beads and incubate for 2-4 hours at 4°C.
Washing: Wash beads 4-5 times with lysis buffer containing reduced detergent concentration.
Elution: Elute bound proteins by boiling in SDS sample buffer.
Analysis: Analyze by Western blot using the same SPCC594.04c antibody or antibodies against potential interacting partners.
This approach has been successfully used to identify protein-protein interactions in S. pombe, particularly for components involved in RNA polymerase II transcription regulation pathways .
While SPCC594.04c has not been specifically documented in ChIP experiments, the protocol can be adapted based on successful ChIP studies in S. pombe:
Crosslinking: Treat S. pombe cells with 1% formaldehyde for 15 minutes at room temperature.
Chromatin preparation: Lyse cells and sonicate to generate DNA fragments of 200-500 bp.
Immunoprecipitation:
Pre-clear chromatin with Protein G beads
Incubate 5-10 μg of SPCC594.04c antibody with chromatin overnight at 4°C
Add Protein G beads and incubate for 2-3 hours at 4°C
Wash with increasing stringency buffers
Reversal of crosslinks: Reverse crosslinks at 65°C overnight.
DNA purification: Purify DNA using phenol-chloroform extraction or commercial kits.
Analysis: Analyze by qPCR or next-generation sequencing.
For genome-wide binding profiles, consider adapting the ChIP-chip methodology used for studying transcription factors in S. pombe, where crosslinked chromatin is immunoprecipitated and then hybridized to tiling arrays or sequenced .
To investigate protein complex formation involving SPCC594.04c, consider this comprehensive approach:
Co-immunoprecipitation followed by mass spectrometry:
Perform immunoprecipitation using SPCC594.04c antibody
Analyze the precipitated proteins by LC-MS/MS
Validate potential interactions with reciprocal co-IPs
Size exclusion chromatography:
Fractionate S. pombe cell extracts by gel filtration
Analyze fractions by Western blot using SPCC594.04c antibody
Compare elution profile with known molecular weight standards and other proteins of interest
Blue native PAGE:
Separate native protein complexes using blue native PAGE
Perform Western blotting with SPCC594.04c antibody
Identify potential complex sizes
Proximity-dependent biotin identification (BioID):
Create a fusion of SPCC594.04c with a biotin ligase
Identify biotinylated proteins in proximity using streptavidin pulldown and mass spectrometry
Validate interactions using the SPCC594.04c antibody
This multi-method approach has proven effective for characterizing novel protein complexes in S. pombe, particularly for transcription-related proteins .
Based on studies of RNA polymerase II transcription in S. pombe, consider the following research strategy:
ChIP-seq analysis:
Perform chromatin immunoprecipitation with SPCC594.04c antibody
Sequence precipitated DNA to identify genomic binding sites
Analyze binding patterns relative to transcription start sites, gene bodies, and termination sites
RNA-seq in deletion strains:
Generate a SPCC594.04c deletion strain
Compare gene expression profiles with wild-type using RNA-seq
Identify genes with altered expression patterns
Co-localization with RNA polymerase II:
Perform sequential ChIP (ChIP-reChIP) with SPCC594.04c antibody and RNA polymerase II antibody
Determine if they co-occupy the same genomic regions
Nascent transcription assays:
Use nuclear run-on or BrUTP incorporation assays
Combine with SPCC594.04c immunoprecipitation to assess association with actively transcribing complexes
This approach has been successfully employed to characterize the role of other S. pombe proteins in transcriptional regulation .
Rigorous validation of antibody specificity is critical for reliable research outcomes:
Genetic controls:
Test the antibody on samples from SPCC594.04c deletion strain (negative control)
Test on samples with epitope-tagged SPCC594.04c (positive control)
Compare signal intensity with wild-type samples
Peptide competition assay:
Pre-incubate the antibody with excess purified SPCC594.04c protein or immunizing peptide
Perform Western blot on wild-type samples with both blocked and unblocked antibody
Specific signals should be significantly reduced with the blocked antibody
Cross-reactivity assessment:
Test the antibody against recombinant SPCC594.04c protein expressed in different systems
Test against closely related proteins if identified through sequence analysis
Perform immunoprecipitation followed by mass spectrometry to identify all bound proteins
Correlation of protein levels with transcript levels:
Manipulate SPCC594.04c transcript levels (overexpression or RNAi)
Confirm changes in transcript levels by RT-qPCR
Verify corresponding changes in protein levels detected by the antibody
These validation steps are essential for ensuring the reliability of subsequent experimental results, especially for uncharacterized proteins like SPCC594.04c .
When encountering non-specific binding with SPCC594.04c antibody, consider these potential causes and solutions:
High antibody concentration:
Problem: Excessive antibody can bind non-specifically
Solution: Perform a titration series to determine optimal concentration (typically 1:1000-1:5000 for Western blot)
Insufficient blocking:
Problem: Incomplete blocking leads to non-specific binding
Solution: Increase blocking time (1-2 hours) or concentration (5% BSA or milk) and ensure complete coverage
Cross-reactivity with related proteins:
Problem: The antibody may recognize epitopes shared with related proteins
Solution: Use more stringent washing conditions and potentially pre-absorb the antibody with recombinant related proteins
Sample preparation issues:
Problem: Inadequate lysis or denaturation can expose epitopes non-specifically
Solution: Optimize lysis conditions and ensure complete protein denaturation for Western blots
Post-translational modifications:
Problem: PTMs may alter antibody recognition
Solution: Test different sample preparation methods that preserve or remove specific modifications
Proper controls, including a SPCC594.04c deletion strain and recombinant protein controls, are essential for distinguishing specific from non-specific signals .
When faced with discrepancies between antibody-based SPCC594.04c detection and genomic/transcriptomic data, investigate using this systematic approach:
Verify transcript expression:
Confirm SPCC594.04c mRNA expression using RT-qPCR with multiple primer sets
Compare with RNA-seq data, focusing on exon coverage patterns
Check for alternative splicing or transcript isoforms
Assess protein stability and turnover:
Perform cycloheximide chase experiments to assess protein half-life
Test if proteasome inhibitors affect detected protein levels
Consider whether environmental conditions affect protein stability
Evaluate post-transcriptional regulation:
Investigate potential miRNA regulation of SPCC594.04c
Assess translational efficiency through polysome profiling
Check for RNA-binding protein interactions that might affect translation
Technical factors:
Confirm antibody specificity using the methods in FAQ 4.3
Test multiple antibody lots if available
Consider epitope accessibility issues in different experimental contexts
Biological context:
Test different growth conditions and cell cycle stages
Examine strain-specific variations
Consider whether SPCC594.04c undergoes regulated degradation
This systematic evaluation can help resolve apparent contradictions and may reveal interesting regulatory mechanisms governing SPCC594.04c expression .
When analyzing potentially conflicting localization data, consider these methodological aspects:
Technical differences:
Immunofluorescence shows proteins in situ but may have accessibility limitations
Fractionation biochemically separates compartments but may introduce artifacts during extraction
Compare fixation methods (formaldehyde vs. methanol) which differentially preserve structures
Resolution limitations:
Standard immunofluorescence may not resolve fine structures
Consider super-resolution microscopy (STED, PALM, STORM) for more detailed localization
Correlate with electron microscopy using immunogold labeling for highest resolution
Dynamic localization:
Perform time-course experiments under different conditions
Use live-cell imaging with fluorescently tagged SPCC594.04c to track movement
Compare with known markers of subcellular compartments
Quantitative assessment:
Quantify signal distribution across cellular compartments
Determine relative enrichment in different fractions
Use statistical analysis to evaluate significance of localization patterns
Functional validation:
Create targeted mutations that disrupt putative localization signals
Perform functional assays in different compartments
Correlate localization with interaction partners
This comprehensive approach can resolve apparent discrepancies and provide insight into the dynamic nature of SPCC594.04c localization and function .
Based on recent advances in computational antibody design, researchers can improve SPCC594.04c antibody specificity through:
Epitope refinement using structural prediction:
Generate structural models of SPCC594.04c using AlphaFold2
Identify unique, surface-exposed epitopes that distinguish it from related proteins
Design synthetic peptides targeting these unique regions for antibody production
In silico antibody optimization:
Machine learning approaches:
Train algorithms on existing antibody-epitope data to predict optimal binding regions
Identify potential cross-reactive epitopes to avoid
Design multi-epitope recognition strategies for increased specificity
Molecular dynamics simulations:
Simulate antibody-antigen binding events to identify stable interaction interfaces
Optimize binding energy through targeted mutations
Predict effects of different buffer conditions on binding specificity
This computational approach, combined with experimental validation, can significantly improve antibody specificity and performance in challenging applications .
To investigate potential moonlighting functions of SPCC594.04c:
Differential interactome analysis:
Perform immunoprecipitation with SPCC594.04c antibody under different cellular conditions
Analyze interacting partners by mass spectrometry
Look for condition-specific interactions that suggest context-dependent functions
Subcellular redistribution studies:
Track localization of SPCC594.04c using the antibody under various stresses
Correlate relocalization with acquisition of alternate functions
Use proximity labeling (BioID/APEX) to identify neighborhood proteins in each location
Post-translational modification mapping:
Immunoprecipitate SPCC594.04c and analyze PTMs by mass spectrometry
Correlate specific modifications with different functional states
Generate modification-specific antibodies for functional studies
Comparative analysis across species:
Use the antibody (if cross-reactive) or generate antibodies against orthologs
Compare localization and interaction patterns across evolutionary distance
Identify conserved versus divergent functions
This multifaceted approach can uncover unexpected roles of SPCC594.04c beyond its predicted function as a steroid oxidoreductase superfamily protein .
Combining antibody-based detection with CRISPR-Cas9 technology enables powerful functional studies:
Endogenous tagging strategies:
Use CRISPR to introduce epitope tags at the endogenous SPCC594.04c locus
Compare detection using both epitope antibodies and SPCC594.04c-specific antibody
Validate antibody specificity against the tagged strain
Domain-specific functional analysis:
Generate CRISPR-mediated domain deletions or point mutations
Use the antibody to assess expression, stability, and localization of mutant proteins
Correlate structural changes with functional outcomes
Conditional degradation systems:
Implement auxin-inducible or temperature-sensitive degron tags via CRISPR
Monitor protein depletion kinetics using the antibody
Correlate protein levels with phenotypic changes
CRISPRi transcriptional control:
Establish dCas9-based transcriptional regulation of SPCC594.04c
Use the antibody to precisely measure resulting protein level changes
Create a titratable system to determine threshold levels for different functions
Synthetic genetic interaction screens:
Combine CRISPR-mediated gene deletions with antibody-based detection
Screen for genetic interactions that affect SPCC594.04c expression or localization
Identify regulatory networks and functional pathways
This integrated approach maximizes the utility of both CRISPR technology and antibody-based detection for comprehensive functional characterization .