The SPAC19A8.11c Antibody (Product Code: CSB-PA522595XA01SXV) is a polyclonal antibody targeting the SPAC19A8.11c protein, encoded by the gene locus SPAC19A8.11c in Schizosaccharomyces pombe. This protein is annotated under UniProt accession O13827, though its precise molecular function remains uncharacterized in public databases .
Biological Model: Schizosaccharomyces pombe is a well-established model organism for studying eukaryotic cell biology, including DNA repair, cell cycle regulation, and gene expression .
Functional Implications: While SPAC19A8.11c’s role is not yet defined, fission yeast genes with similar nomenclature (e.g., SPACXXX) often participate in stress response, metabolism, or chromatin remodeling.
Custom Production: This antibody is part of Cusabio’s Custom Antibodies project, tailored for researchers requiring reagents against understudied targets .
Validation: Specific validation data (e.g., Western blot bands, immunofluorescence staining) are not publicly disclosed but can be requested directly from the manufacturer.
The table below contextualizes SPAC19A8.11c among other S. pombe antibodies from the same project :
| Antibody Target | Product Code | UniProt ID | Size |
|---|---|---|---|
| SPAC19A8.11c | CSB-PA522595XA01SXV | O13827 | 2 ml/0.1 ml |
| SPAC3G9.05 | CSB-PA526104XA01SXV | O42869 | 2 ml/0.1 ml |
| SPAC22A12.14c | CSB-PA522605XA01SXV | O13905 | 2 ml/0.1 ml |
Gene Knockout Studies: To elucidate SPAC19A8.11c’s role in fission yeast physiology.
Protein Localization: Immunofluorescence to determine subcellular distribution.
Interaction Networks: Co-immunoprecipitation to identify binding partners.
Characterization Gap: No peer-reviewed studies specifically addressing SPAC19A8.11c’s function were identified.
Data Expansion: Researchers using this antibody are encouraged to contribute findings to public databases (e.g., UniProt, PubMed) to bridge knowledge gaps.
For further details on the target protein, refer to UniProt entry O13827 .
SPAC19A8.11c is a protein-coding gene in Schizosaccharomyces pombe (fission yeast), which serves as an important model organism for molecular and cell biology research. S. pombe is particularly valuable because approximately 43% of its genes contain introns and about 70% of its protein-coding genes have human orthologs, with over 1,500 associated with human disease . As a model organism, studies of SPAC19A8.11c using specific antibodies can provide insights into conserved cellular mechanisms that may have relevance to human biology.
SPAC19A8.11c antibodies, like other research-grade antibodies for S. pombe proteins, are typically compatible with multiple experimental techniques:
Western blot analysis
Immunoprecipitation (IP)
Immunofluorescence (IF)
Chromatin immunoprecipitation (ChIP)
Flow cytometry
The antibody may need specific validation for each application, as performance can vary significantly between different detection methods .
Proper validation requires:
Knockout controls: Use SPAC19A8.11c deletion strains as negative controls to confirm specificity
Recombinant protein controls: Test against purified SPAC19A8.11c protein
Cross-reactivity testing: Evaluate against related S. pombe proteins
Epitope mapping: Determine the specific region recognized by the antibody
Multiple detection methods: Confirm specificity across different applications (Western blot, IP, etc.)
A standardized approach using SPAC19A8.11c knockout cell lines compared with isogenic parental controls offers the most reliable validation strategy .
For optimal immunofluorescence results with S. pombe cells:
Recommended protocol:
Fix cells with fresh 3.7% formaldehyde in PBS for 10 minutes at room temperature
Wash cells 1-2 times with PBS
Permeabilize with either:
0.1% Triton X-100 for 5 minutes at room temperature
1× Perm/Wash buffer for 15-30 minutes at room temperature
Block with staining buffer containing 3% FBS for 15-30 minutes
Incubate with optimally diluted SPAC19A8.11c antibody for 60 minutes at room temperature
Wash three times with appropriate buffer
Note: For S. pombe cells, the cell wall may require additional digestion with enzymes like zymolyase before permeabilization to improve antibody accessibility.
Optimization considerations specific to SPAC19A8.11c Western blotting:
| Parameter | Recommended Starting Points | Optimization Notes |
|---|---|---|
| Lysis buffer | NP-40 or RIPA with protease inhibitors | Add phosphatase inhibitors if studying phosphorylation states |
| Protein loading | 20-40 µg total protein | May need adjustment based on expression level |
| Gel percentage | 10-12% SDS-PAGE | Adjust based on protein molecular weight |
| Transfer time | 60-90 minutes at 100V | Wet transfer recommended for optimal results |
| Blocking agent | 5% non-fat milk or BSA in TBST | BSA preferred if detecting phosphorylated forms |
| Primary antibody dilution | 1:1000 | Titrate from 1:500 to 1:2000 |
| Incubation time/temp | Overnight at 4°C | Alternative: 2 hours at room temperature |
| Detection method | Enhanced chemiluminescence | Fluorescent secondary antibodies may provide better quantification |
Include proper controls, such as lysates from SPAC19A8.11c deletion strains, to confirm specificity .
For effective immunoprecipitation of SPAC19A8.11c:
Cell lysis optimization:
Test multiple lysis buffers (NP-40, RIPA, or custom buffers)
Adjust salt concentration (150-300 mM NaCl) to maintain protein interactions
Include appropriate protease/phosphatase inhibitors
Antibody binding considerations:
Pre-clear lysates to reduce non-specific binding
Use 2-5 μg antibody per mg of total protein
Optimize antibody-to-bead ratio
Consider pre-coupling antibodies to beads for better results
Wash conditions:
Test stringency of wash buffers (adjust salt and detergent concentrations)
Perform 3-5 washes to remove non-specific proteins
Elution methods:
Gentle elution with specific peptide competition
SDS elution for subsequent Western blot analysis
Native elution for preserving protein activity
Controls:
For ChIP applications with SPAC19A8.11c antibody:
Detailed protocol overview:
Crosslinking: Fix S. pombe cells with 1% formaldehyde for 10-15 minutes
Chromatin preparation:
Lyse cells and isolate nuclei
Sonicate chromatin to generate 200-500 bp fragments
Verify sonication efficiency by gel electrophoresis
Immunoprecipitation:
Pre-clear chromatin with protein A/G beads
Incubate with 3-5 μg SPAC19A8.11c antibody overnight
Capture antibody-chromatin complexes with protein A/G beads
Washing and elution:
Use increasingly stringent wash buffers
Elute DNA-protein complexes
Reverse crosslinking and DNA purification:
Digest proteins with proteinase K
Purify DNA using phenol-chloroform extraction or commercial kits
Analysis:
qPCR for targeted analysis of specific genomic regions
ChIP-seq for genome-wide binding profiles
Critical quality controls include input chromatin sample, non-specific IgG control, and positive control antibody (e.g., histone marks) .
Multiple complementary methods can be employed:
Co-immunoprecipitation (Co-IP):
Immunoprecipitate SPAC19A8.11c under native conditions
Identify interacting partners by Western blot or mass spectrometry
Use chemical crosslinkers for transient interactions
Proximity Ligation Assay (PLA):
Visualize protein-protein interactions in situ
Requires antibodies to both SPAC19A8.11c and potential interacting partners
Generates fluorescent signals only when proteins are in close proximity (<40 nm)
Bimolecular Fluorescence Complementation (BiFC):
Tag SPAC19A8.11c and potential partner with split fluorescent protein fragments
Fluorescence reconstitution indicates interaction
Mass Spectrometry:
Use high-quality SPAC19A8.11c antibody for immunoprecipitation
Submit eluted samples for LC-MS/MS analysis
Apply appropriate filtering against control samples to identify specific interactors
For each approach, include appropriate controls and consider both constitutive and conditional interactions that may depend on cell cycle stage or stress conditions in S. pombe .
Computational methods can enhance antibody-based studies through:
Epitope prediction and analysis:
Use algorithms to predict antigenic determinants on SPAC19A8.11c
Compare with experimentally determined epitopes
Assess epitope conservation across species
Structural modeling of antibody-antigen interactions:
Apply AlphaFold-Multimer or similar tools to model SPAC19A8.11c antibody binding
Predict binding affinity and potential cross-reactivity
Guide rational antibody engineering to improve specificity or affinity
Integrated data analysis:
Correlate antibody-based experimental results with transcriptomic data
Map SPAC19A8.11c interactions onto protein-protein interaction networks
Identify functional modules and pathways
In silico antibody optimization:
| Issue | Possible Causes | Solutions |
|---|---|---|
| No signal in Western blot | - Insufficient protein expression - Epitope denaturation - Ineffective transfer | - Increase protein loading - Try native conditions - Optimize transfer parameters - Verify antibody functionality with positive control |
| High background in IF | - Insufficient blocking - Excessive antibody concentration - Inadequate washing | - Extend blocking time - Titrate antibody concentration - Use more stringent washing - Include detergent in wash buffer |
| Failed immunoprecipitation | - Epitope inaccessibility - Weak antibody-antigen binding - Inappropriate buffer conditions | - Try different lysis buffers - Increase antibody amount - Cross-link antibody to beads - Use different antibody clone |
| Non-specific bands | - Cross-reactivity - Protein degradation - Secondary antibody issues | - Include SPAC19A8.11c knockout control - Add protease inhibitors - Optimize secondary antibody dilution |
| Inconsistent ChIP results | - Variable crosslinking efficiency - Chromatin shearing inconsistency - PCR inhibitors in samples | - Standardize fixation conditions - Monitor sonication by gel analysis - Include spike-in controls - Purify DNA more thoroughly |
When troubleshooting, change only one variable at a time and document all modifications to identify the critical parameters affecting your experiment .
Systematic evaluation of antibody batches requires:
Performance benchmarking:
Run side-by-side Western blots with old and new batches
Compare signal-to-noise ratios and detection limits
Assess specific band intensity relative to total protein loading
Epitope binding analysis:
Perform ELISA against the immunizing peptide/protein
Compare titration curves and EC50 values between batches
Use surface plasmon resonance to measure binding kinetics
Application-specific validation:
Test new batch in all intended applications
Compare quantitative metrics (e.g., IP efficiency, ChIP enrichment)
Document any differences in protocol optimization
Statistical analysis:
Calculate coefficient of variation across experiments
Determine confidence intervals for key measurements
Establish acceptance criteria for batch approval
Maintain detailed records of batch performance to track long-term trends and identify potential manufacturing issues .
A comprehensive validation strategy includes:
Genetic controls:
SPAC19A8.11c deletion strain (negative control)
SPAC19A8.11c overexpression strain (positive control)
Tagged SPAC19A8.11c (orthogonal detection method)
Biochemical controls:
Peptide competition assay
Recombinant protein blocking
Pre-immune serum comparison (for polyclonal antibodies)
Technical controls:
Secondary antibody only
Isotype control antibody
Non-related protein antibody of same isotype
Specificity verification:
Mass spectrometry analysis of immunoprecipitated material
Testing against related S. pombe proteins
Cross-species reactivity assessment
Reproducibility controls:
To investigate SPAC19A8.11c protein dynamics across the cell cycle:
Synchronization approaches:
Nitrogen starvation and release
Hydroxyurea block and release
cdc25-22 temperature-sensitive mutant
Lactose gradient centrifugation for size-based separation
Time-course analysis:
Collect samples at defined intervals post-synchronization
Monitor cell cycle progression by flow cytometry or septation index
Analyze SPAC19A8.11c levels by Western blot
Track localization changes by immunofluorescence
Combined techniques:
ChIP-seq at different cell cycle stages to track genome binding
Co-IP to identify cell cycle-specific interaction partners
Phosphorylation-specific antibodies to detect regulatory modifications
Live-cell imaging options:
Validate antibody findings with fluorescently-tagged SPAC19A8.11c
Correlate antibody-based fixed-cell observations with live dynamics
Quantitative analysis:
Several strategies can enhance antibody performance:
Computational redesign:
Use IsAb2.0 or similar platforms to model antibody-antigen interactions
Predict mutations that could improve binding energetics
Simulate effects of CDR modifications
Site-directed mutagenesis:
Introduce specific amino acid changes in CDRs
Target residues predicted to form critical contacts
Create focused mini-libraries of variants
Affinity maturation:
Display antibody fragments on phage, yeast, or mammalian cells
Apply selection pressure for improved binding
Isolate and characterize high-affinity variants
Chemical modification:
Site-specific labeling at optimal positions
Strain-promoted azide-alkyne cycloaddition for controlled conjugation
Cross-linker optimization for immunoprecipitation applications
Format optimization:
Single-cell analysis using SPAC19A8.11c antibody can provide insights into cell-to-cell variability:
Flow cytometry applications:
Optimize fixation and permeabilization for intracellular staining
Combine with cell cycle markers (DNA content, septation markers)
Correlate SPAC19A8.11c levels with other cellular parameters
Sort subpopulations for downstream molecular analysis
Single-cell imaging:
High-content microscopy with automated image analysis
Quantify SPAC19A8.11c intensity, localization, and morphological features
Track lineage relationships in microfluidic devices
Apply machine learning for pattern recognition
Spatial proteomics:
Combine SPAC19A8.11c antibody with multiplexed protein detection
Apply cyclic immunofluorescence or mass cytometry
Map protein distribution across subcellular compartments
Correlate with functional states
Integration with genomics:
Index-sorted single cells for combined protein and transcriptome analysis
Link SPAC19A8.11c protein levels with gene expression profiles
Identify regulatory relationships at single-cell resolution
Analysis considerations: