SPAC22H10.08 Antibody is a polyclonal antibody targeting the protein product of the SPAC22H10.08 gene in Schizosaccharomyces pombe (fission yeast). This gene encodes a DUF2009 domain-containing protein with uncharacterized function, though its structural features suggest roles in cellular processes such as protein-protein interactions or enzymatic activity .
SPAC22H10.08 is annotated as part of the UPF0652 family of proteins, which are conserved in fungi but lack functional characterization .
Studies on homologous proteins in S. pombe suggest potential involvement in stress response pathways or cell wall biosynthesis .
Western Blot: The antibody detects a band at ~25 kDa in S. pombe lysates, consistent with the predicted molecular weight of SPAC22H10.08 .
ELISA: Demonstrated specificity for recombinant SPAC22H10.08 protein with no cross-reactivity to unrelated fission yeast proteins .
Functional Genomics: Elucidate the role of SPAC22H10.08 in fission yeast metabolism or stress adaptation.
Protein Interaction Studies: Identify binding partners using co-immunoprecipitation (Co-IP) .
Comparative Biology: Investigate evolutionary conservation of DUF2009-domain proteins across fungal species .
Unknown Function: The biological role of SPAC22H10.08 remains speculative due to limited experimental data.
Species Specificity: Restricted utility outside S. pombe research .
Future studies could employ CRISPR-based knockout models or structural biology approaches (e.g., cryo-EM) to resolve its mechanistic contributions.
KEGG: spo:SPAC22H10.08
SPAC22H10.08 appears to be a protein identifier associated with yeast studies, particularly within the context of SH3 domain research . Antibodies against such targets are essential tools for detecting, isolating, and characterizing proteins in fundamental research. They enable visualization of protein expression patterns, protein-protein interactions, and functional analyses that form the basis of molecular biology investigations. Unlike general antibody reagents, specialized antibodies against specific targets like SPAC22H10.08 allow researchers to examine particular cellular pathways and protein functions with precision.
Research antibodies typically fall into several categories:
| Antibody Type | Characteristics | Typical Research Applications |
|---|---|---|
| Monoclonal | Single specificity, homogeneous | Specific target detection, therapeutic development |
| Polyclonal | Multiple epitopes, heterogeneous | Robust detection, initial characterization |
| Recombinant | Genetically engineered, consistent | Reproducible experiments, specialized applications |
| Fab fragments | No Fc region, smaller size | Reduced background, tissue penetration |
Polyclonal antibodies (like certain goat anti-mouse IgG antibodies) are often used in detection systems for their ability to recognize multiple epitopes, enhancing signal strength . Monoclonal antibodies provide high specificity and are critical when distinguishing between closely related proteins, similar to approaches used in bacterial strain identification studies .
Proper antibody validation is critical for experimental reproducibility, as highlighted in recent literature addressing the "antibody characterization crisis" . A comprehensive validation approach should include:
Specificity testing: Using knockout/knockdown controls
Independent detection methods: Comparing results with orthogonal techniques
Cross-reactivity assessment: Testing against similar proteins/targets
Lot-to-lot consistency: Verifying performance across different production batches
For SPAC22H10.08 or similar targets, researchers should document validation using approaches like the SH3-SPOT peptide assay that can confirm binding specificity to the intended target sequence . Validation documentation should be maintained and referenced in publications to enhance experimental reproducibility.
When designing co-immunoprecipitation (Co-IP) experiments with SPAC22H10.08 antibodies, consider:
Cross-linking optimization: Low concentrations (0.5-2%) of formaldehyde for short durations (5-15 minutes) typically preserve protein-protein interactions while maintaining antibody accessibility.
Buffer selection: For yeast proteins like SPAC22H10.08, a buffer containing 50 mM Tris/HCl (pH 7.6), 150 mM NaCl, and appropriate detergents (0.1-1% NP-40 or Triton X-100) often provides optimal results .
Controls: Always include:
Input control (pre-immunoprecipitation lysate)
Negative control (non-specific IgG of same species/isotype)
Reciprocal Co-IP when possible
For maximum sensitivity, detection can be enhanced using biotinylated secondary antibodies followed by streptavidin-HRP systems, similar to the approach described for immunoglobulin detection .
For detailed epitope characterization of SPAC22H10.08 antibodies, the SPOT peptide array technique offers a systematic approach:
Array preparation: Synthesize 15-mer peptides with 5-amino acid overlaps spanning the entire SPAC22H10.08 sequence on cellulose-(3-amino-2-hydroxy-propyl)-ether (CAPE) membranes.
Antibody probing: Incubate the SH3 domains or antibodies at 10 μg/ml overnight at 4°C in appropriate blocking buffer .
Detection: Perform immunodetection using species-appropriate secondary antibodies.
This approach provides a comprehensive binding profile, identifying specific regions recognized by the antibody, which is critical for understanding antibody function and potential cross-reactivity with related proteins.
Cross-reactivity presents significant challenges in antibody-based research. For SPAC22H10.08 antibodies, researchers should:
Pre-adsorption: If working in mixed species samples, use cross-adsorbed antibodies (similar to those described for goat anti-mouse IgG with human adsorption ).
Competitive blocking: Perform pre-incubation with purified recombinant proteins to confirm specificity.
Orthogonal validation: Implement multiple detection methods, as recommended in comprehensive antibody validation frameworks .
Cut-off modeling: For quantitative assays, establish clear thresholds using multicentric validation cohorts with positive and negative controls to minimize false positives from cross-reactive binding .
For Western blotting applications:
For optimal results with yeast proteins, include appropriate positive controls and molecular weight markers to confirm specificity of detected bands.
For immunofluorescence validation:
Fixation optimization: Compare paraformaldehyde (4%) with methanol fixation to determine which best preserves epitope accessibility.
Blocking evaluation: Test both BSA and serum-based blocking solutions to minimize background.
Controls: Include:
Secondary-only controls
Peptide competition assays
Known positive and negative samples
Co-localization: Perform dual labeling with established markers of the expected subcellular compartment.
Quantitative assessment: Establish signal-to-noise ratios across different antibody concentrations (typically 1-10 μg/ml) to determine optimal working dilution.
This systematic approach ensures reliable detection of SPAC22H10.08 protein in its native cellular context while minimizing artifacts.
When encountering variability in experiments:
Antibody characterization: Verify antibody quality through approaches described in recent literature on antibody validation standards . Document lot numbers and validation data.
Sample preparation consistency: Standardize lysis conditions and protein quantification methods.
Epitope accessibility: Consider whether post-translational modifications or protein-protein interactions might be masking the epitope.
Detection system optimization: For challenging targets, enhance sensitivity using biotinylated secondary antibodies with streptavidin amplification systems .
Statistical approach: Implement quantitative metrics for antibody performance across experiments to identify sources of variability.
To ensure experimental reproducibility:
Antibody documentation: Maintain detailed records of:
Catalog/lot numbers
Validation data
Storage conditions
Freeze-thaw cycles
Standard operating procedures: Develop written protocols for all antibody applications.
Positive controls: Include well-characterized samples with known expression levels.
Quantitative standards: Establish calibration curves when performing quantitative analyses.
Inter-laboratory validation: When possible, verify key findings across different laboratory settings using the same antibody lots and protocols.
These approaches address the broader reproducibility challenges identified in antibody-based research and provide a framework for robust experimental design .
For high-throughput applications:
Assay miniaturization: Adapt protocols to 384 or 1536-well formats with optimized antibody concentrations to maintain sensitivity while reducing reagent consumption.
Automation compatibility: Ensure buffers and incubation times are amenable to robotic handling.
Readout optimization: Implement:
Direct fluorescence detection
Time-resolved fluorescence
Chemiluminescence with appropriate signal stability
Data normalization: Develop robust statistical approaches for plate-to-plate comparisons and exclusion of outliers.
This approach allows screening of compound libraries or genetic perturbations for effects on SPAC22H10.08 expression or function, similar to high-throughput methods used in antibody development against pathogenic bacteria .
For quantitative proteomics applications:
Antibody-based enrichment: Optimize immunoprecipitation conditions to ensure complete capture of target proteins.
Bead selection: Compare magnetic vs. agarose beads for maximum recovery and minimum non-specific binding.
Elution strategies: Contrast:
Harsh elution (SDS, heat)
Mild elution (competitive peptides)
On-bead digestion
Normalization approach: Include internal standards for absolute quantification.
Mass spectrometry compatibility: Ensure buffers and additives are MS-compatible to prevent interference with ionization.
Proper method development enables accurate quantification of SPAC22H10.08 and its interacting partners across different experimental conditions.
Recent advances are addressing the antibody characterization crisis through:
Recombinant antibody technology: Genetically defined antibodies with consistent performance across batches.
Synthetic biology approaches: Designer binding proteins with customized specificity profiles.
Validation consortia: Community-based validation efforts sharing data on antibody performance.
Machine learning applications: Predictive models for antibody specificity and performance.
Standardized reporting: Implementation of minimum information standards for antibody characterization in publications.
These developments promise to enhance the reliability of antibody-based research for targets like SPAC22H10.08, addressing the reproducibility challenges that have affected biomedical research.