Product Name: SPBC32F12.07c Antibody
Code: CSB-PA524249XA01SXV
UniProt ID: O74371
Host Species: Rabbit (polyclonal)
Target Species: Schizosaccharomyces pombe (strain 972 / ATCC 24843)
Reactivity: Validated for fission yeast lysates .
Target Protein Function: SPBC32F12.07c is hypothesized to participate in fungal cell wall biogenesis or septation, based on homology to other S. pombe proteins involved in β-glucan synthesis .
Cell Wall Dynamics: Proteins like Gas2p (a β-1,3-glucanosyltransferase) interact with cell wall components, suggesting SPBC32F12.07c may regulate similar pathways .
Genetic Studies: Depletion of analogous proteins disrupts septum formation, leading to cell wall malformations .
Specificity: Requires testing in S. pombe knockout strains to eliminate cross-reactivity .
Reproducibility: Batch-to-batch consistency ensured by affinity purification .
Functional Assays: Immunoprecipitation followed by mass spectrometry (MS) can identify binding partners .
KEGG: spo:SPBC32F12.07c
SPBC32F12.07c is a protein-coding gene in Schizosaccharomyces pombe (fission yeast), identified by UniProt Number O74371 . While the specific biological function is not fully characterized in the available search results, it appears in research related to fission yeast models. The gene exists within a research context involving the TSC pathway, which in fission yeast is involved in nutrient sensing and amino acid uptake mechanisms .
Research indicates the TSC pathway in fission yeast regulates adaptive responses to nitrogen starvation, including changes in amino acid uptake and induction of specific genes like mei2 . Understanding SPBC32F12.07c's potential role in these pathways requires further investigation using specific antibodies and genetic approaches.
The SPBC32F12.07c antibody has been validated for specific applications as documented in product information:
| Application | Validation Status |
|---|---|
| ELISA | Validated |
| Western Blot | Validated |
This rabbit polyclonal antibody has been purified by Antigen Affinity methods, making it suitable for protein detection in both native (ELISA) and denatured (Western Blot) states . Researchers should conduct preliminary validation studies if planning to use this antibody for applications beyond those listed, such as immunohistochemistry, immunofluorescence, or chromatin immunoprecipitation.
According to product information, the SPBC32F12.07c antibody should be stored at either -20°C or -80°C for optimal stability and performance . For long-term preservation of antibody activity, -80°C storage is generally preferred.
For maximum retention of antibody function:
Avoid repeated freeze-thaw cycles
Aliquot the antibody upon receipt if multiple uses are anticipated
Allow antibody to reach room temperature before opening
Centrifuge briefly before use to collect contents at the bottom of the tube
Following these storage recommendations will help maintain antibody specificity and activity for experimental applications.
Optimizing Western blot protocols for SPBC32F12.07c detection in fission yeast requires careful attention to several critical parameters:
Sample preparation:
For effective lysis of fission yeast cells, incubate approximately 10^10 cells at 37°C for 1 hour in spheroplasts buffer [50 mM citrate-phosphate (pH 5.6)]
Include protease inhibitors to prevent degradation of SPBC32F12.07c
Ensure complete disruption of the yeast cell wall to release all cellular contents
Control implementation:
Antibody optimization:
Test multiple dilutions of the primary antibody to determine optimal concentration
Optimize blocking conditions to minimize background (typically 5% non-fat milk or BSA)
Consider extended incubation times (overnight at 4°C) for improved signal-to-noise ratio
Detection strategy:
While the search results don't explicitly define SPBC32F12.07c's role in the TSC pathway, a methodological approach to investigate this relationship would include:
Experimental design for pathway analysis:
Generate expression constructs for tagged versions of SPBC32F12.07c
Create knockout or knockdown strains using genetic techniques
Analyze phenotypes related to TSC pathway function (amino acid uptake, nitrogen starvation response)
Protein interaction studies:
Functional assessment:
Compare SPBC32F12.07c expression and localization between wild-type and TSC pathway mutants (Δtsc1, Δtsc2)
Analyze changes in SPBC32F12.07c protein levels during nitrogen starvation, which activates the TSC pathway
Perform epistasis analysis to determine if SPBC32F12.07c functions upstream or downstream of known TSC components
The TSC pathway in fission yeast regulates nutrient sensing, particularly nitrogen starvation responses, which involve changes in amino acid uptake and gene expression patterns . Understanding SPBC32F12.07c's potential role requires systematic investigation using both genetic and biochemical approaches.
Developing and validating immunofluorescence protocols for SPBC32F12.07c requires systematic optimization and rigorous controls:
Fixation method optimization:
Test multiple fixation protocols (4% paraformaldehyde, methanol, acetone)
Optimize fixation duration and temperature
Compare signal intensity and specificity across methods
Evaluate preservation of subcellular structures
Control implementation:
Antibody optimization:
Test dilution series (typically starting with 1:50 to 1:500)
Optimize incubation conditions (time, temperature, buffer composition)
Compare direct versus indirect detection methods
Consider signal amplification strategies if needed
Validation approach:
Co-localization with known subcellular markers
Correlation with fluorescently tagged SPBC32F12.07c expression
Comparison with Western blot results from the same samples
Cross-validation using multiple microscopy techniques
Antibody validation in multiple applications serves as a cross-check for specificity and provides additional clarity for researchers . This multi-method validation approach increases confidence in the observed localization patterns.
Accurate quantification of SPBC32F12.07c expression requires appropriate methodological approaches:
Western blot-based quantification:
Include a dilution series of recombinant SPBC32F12.07c protein to create a standard curve
Ensure linear range of detection for both target and loading control
Apply densitometric analysis using software like ImageJ
ELISA-based quantification:
Develop a sandwich ELISA using this antibody for either capture or detection
Create standard curves using purified SPBC32F12.07c protein
Ensure samples fall within the linear range of detection
Include spike-in controls to assess recovery efficiency
Statistical considerations:
Perform technical triplicates and biological replicates (minimum n=3)
Calculate coefficient of variation to assess reproducibility
Apply appropriate statistical tests when comparing conditions
Document all normalization procedures and analysis parameters
Validation across methods:
Compare protein quantification with transcript levels from RT-qPCR
Correlate with fluorescence intensity from immunofluorescence studies
Validate findings using orthogonal approaches when possible
This comprehensive approach to quantification provides more reliable data on SPBC32F12.07c expression levels across different experimental conditions.
Studying stress responses using SPBC32F12.07c antibody requires specific experimental design considerations:
Stress condition protocols:
Analytical approaches:
Western blot analysis to measure total protein level changes
Subcellular fractionation to detect translocation events
Immunofluorescence to visualize changes in localization pattern
Co-immunoprecipitation to identify stress-induced protein interactions
Experimental controls:
Known stress-responsive proteins as positive controls
Constitutively expressed proteins as loading controls
Time-matched unstressed samples as reference
Multiple biological replicates to ensure reproducibility
Data integration:
Correlate protein-level changes with transcriptional responses
Compare with published datasets for related stress responses
Integrate with phenotypic analysis of cellular responses
Consider network analysis to place SPBC32F12.07c in stress-response pathways
Under nitrogen starvation conditions, wild-type fission yeast strains show adaptive responses including changes in amino acid uptake and induction of specific genes . Studying SPBC32F12.07c in this context could reveal its potential role in nutrient sensing and stress adaptation.
Addressing potential cross-reactivity concerns requires systematic validation approaches:
Sources of cross-reactivity:
Proteins with similar epitopes to SPBC32F12.07c
Post-translational modifications affecting epitope recognition
Non-specific binding to abundant proteins
Differences in species-specific isoforms
Validation methods:
Western blot analysis to detect additional bands
Immunoprecipitation followed by mass spectrometry identification
Peptide competition assays to confirm specific binding
Testing across multiple Schizosaccharomyces species
Control implementation:
Optimization strategies:
Adjust antibody concentration to minimize non-specific binding
Increase stringency of washing steps
Pre-clear lysates with protein A/G beads before immunoprecipitation
Use blocking peptides to confirm signal specificity
Testing on multiple cell lines and in multiple applications serves as a cross-check for specificity . For ubiquitously expressed proteins, knockout/knockdown models provide one of the most trusted ways to ensure specificity .
While the search results don't specifically mention ChIP applications for SPBC32F12.07c antibody, a methodological approach would include:
ChIP protocol development:
Crosslinking optimization: Test different formaldehyde concentrations (0.75-1.5%) and incubation times
Sonication conditions: Adjust to achieve 200-500bp DNA fragments
Antibody amount: Typically 2-5μg per ChIP reaction, but requires optimization
Washing stringency: Balance between reducing background and maintaining specific interactions
Control implementation:
ChIP-qPCR validation:
Design primers for suspected binding regions
Calculate percent input or fold enrichment over IgG
Compare enrichment across different genomic regions
Establish reproducibility across biological replicates
ChIP-seq considerations:
Library preparation from immunoprecipitated DNA
Sequencing depth requirements (typically 10-20 million reads)
Computational analysis including peak calling and motif discovery
Validation of key findings with targeted ChIP-qPCR
Before proceeding with full ChIP experiments, verify that the antibody can successfully immunoprecipitate SPBC32F12.07c from crosslinked lysates, as ChIP requires antibodies that recognize partially denatured epitopes.
Rigorous controls and standards are essential when comparing SPBC32F12.07c expression:
Experimental controls:
Reference standards:
Normalization methods:
Total protein normalization (Ponceau S, REVERT total protein stain)
Housekeeping protein normalization (with verification of stability)
Spike-in standards for absolute quantification
Multiple normalization methods for cross-validation
Statistical approach:
Appropriate statistical tests based on data distribution
Multiple test correction for large-scale experiments
Effect size calculation beyond p-value reporting
Power analysis to determine required sample size
Validation strategy:
Cross-validation with orthogonal methods (e.g., proteomics, transcriptomics)
Independent replication of key findings
Correlation with functional assays
Verification across different detection methods
This comprehensive approach to controls and standards increases confidence in observed differences in SPBC32F12.07c expression between experimental conditions.
Distinguishing specific from non-specific signals requires systematic validation approaches:
Control implementation:
Signal validation methods:
Correlation of signal across multiple detection methods
Consistency of signal pattern across experimental replicates
Dose-dependent changes in signal with increasing protein amounts
Expected molecular weight confirmation in Western blots
Optimization strategies:
Titration of antibody concentration to maximize signal-to-noise ratio
Increased blocking stringency to reduce background
Extended washing steps to remove weakly bound antibodies
Pre-adsorption of antibody with non-specific proteins
Signal specificity criteria:
Signal disappears in competitive inhibition tests
Signal is absent in knockout/knockdown samples
Signal correlates with expected subcellular localization
Signal changes predictably with experimental manipulations
Testing antibodies on multiple cell lines and in multiple applications serves as a cross-check for specificity . Using knockdown or knockout models is one of the most trusted ways to ensure specificity, especially for ubiquitously expressed proteins .
Developing multiplex immunofluorescence protocols involving SPBC32F12.07c antibody requires careful consideration of several factors:
Antibody compatibility planning:
Select additional antibodies raised in different host species
Verify no cross-reactivity between secondary antibodies
Consider antibody isotypes for same-species antibodies
Test each antibody individually before multiplexing
Fluorophore selection:
Choose fluorophores with minimal spectral overlap
Consider signal intensity differences between targets
Evaluate autofluorescence profile of your sample
Account for photobleaching rates when designing imaging protocols
Protocol optimization:
Sequential vs. simultaneous antibody incubation
Antibody concentration adjustment in multiplex setting
Fixation method compatibility with all antibodies
Antigen retrieval requirements for each target
Control implementation:
Single-stain controls for each antibody
Secondary antibody-only controls
Spectral unmixing controls if needed
Positive and negative biological controls
Imaging considerations:
Appropriate filter sets for clean separation of signals
Sequential scanning for confocal microscopy
Consistent exposure settings for quantitative analysis
Standardized image processing for all experimental groups
This systematic approach ensures reliable multiplex detection of SPBC32F12.07c alongside other proteins of interest, providing valuable insights into protein co-localization and functional relationships.