The SPCC1919.04 antibody is associated with a specific SH3 domain in Saccharomyces cerevisiae (S. cerevisiae), a model organism for studying molecular biology and genetics. SH3 domains are small protein–protein interaction modules that bind proline-rich motifs, playing critical roles in signal transduction and cytoskeletal organization. Research on SPCC1919.04 is part of broader studies examining SH3 domain specificity across yeast species, including S. cerevisiae, Kluyveromyces lactis, Schizosaccharomyces pombe, and Candida albicans .
The SPCC1919.04 SH3 domain is one of 109 predicted SH3 domains in S. cerevisiae. Its structure and binding specificity were analyzed using SPOT (Synthetic Peptide Overlay Technology) assays, which involve synthesizing peptide arrays on cellulose membranes to test interactions . The domain exhibited canonical SH3 binding motifs, including Type I (+xxPxxP), Type II (PxxPx+), and Type III (polyproline), as determined by clustering analysis of binding profiles .
The SPCC1919.04 domain demonstrated high specificity for Type III polyproline motifs, consistent with SH3 domains involved in cytoskeletal interactions. Its binding profile correlated strongly with other SH3 domains in the same family, indicating conserved functional roles .
Cluster analysis of SH3 domains revealed three distinct specificity classes:
Type I: +xxPxxP motifs (e.g., proteins like Cdc24).
Type II: PxxPx+ motifs (e.g., proteins like Myo3).
SPCC1919.04 clustered within the Type III group, suggesting its role in actin-related processes.
Phylogenetic analysis showed that SPCC1919.04 retains ~75% sequence identity with orthologs in K. lactis and S. pombe, indicating functional conservation across yeast species .
| SH3 Domain | Binding Motif Type | Sequence Identity (%) | Species |
|---|---|---|---|
| SPCC1919.04 | Type III | 75 | S. cerevisiae |
| SPCC1919.11 | Type I | 70 | S. cerevisiae |
| SPAC17G6.04c | Type II | 65 | S. pombe |
| Motif Type | Sequence Example | Biological Role |
|---|---|---|
| Type I | RxxPxxP (Cdc24) | Guanine nucleotide exchange |
| Type II | PxxPx+ (Myo3) | Cytoskeletal remodeling |
| Type III | Polyproline (Actin) | Actin cytoskeleton |
The study of SPCC1919.04 contributes to understanding SH3 domain evolution and specificity in yeasts. Its conserved binding motifs suggest functional roles in actin dynamics, a critical process for cellular morphogenesis and division . This research also underscores the utility of SPOT assays for systematic analysis of protein–peptide interactions.
KEGG: spo:SPCC1919.04
STRING: 4896.SPCC1919.04.1
Most research antibodies require careful storage to maintain their functionality. Based on the information from the search results, antibodies typically should be stored at -20 to -70°C for long-term storage (up to 12 months from date of receipt) . For short-term storage, reconstituted antibodies can be stored at 2 to 8°C under sterile conditions for approximately 1 month . It's critical to avoid repeated freeze-thaw cycles by using a manual defrost freezer, as this can significantly degrade antibody quality and performance .
Proper reconstitution is essential for maintaining antibody functionality. While specific details for SPCC1919.04 antibody are not provided in the search results, general best practices include using appropriate sterile buffers (typically PBS or manufacturer-recommended buffer), reconstituting to the recommended concentration, and allowing complete dissolution without excessive agitation which might denature the antibody. After reconstitution, antibodies can typically be stored at -20 to -70°C under sterile conditions for approximately 6 months .
From the search results, we can see that research antibodies are commonly validated for several applications including:
Each application requires specific validation parameters, and researchers should confirm that an antibody has been validated for their specific application before proceeding with experiments.
When designing immunostaining experiments with antibodies like SPCC1919.04, researchers should include:
Positive controls: Samples known to express the target protein
Negative controls: Samples known not to express the target protein
Secondary antibody-only controls: To assess non-specific binding of secondary antibodies
Isotype controls: To evaluate potential background from the primary antibody class
The search results show examples of well-controlled experiments, such as using differentiated versus undifferentiated rat cortical stem cells as comparative samples for antibody validation , which demonstrates the importance of appropriate experimental controls.
Optimal antibody dilutions should be determined empirically for each application and experimental system. Based on the search results, manufacturers typically recommend that "optimal dilutions should be determined by each laboratory for each application" . A systematic approach involves:
Performing a dilution series (e.g., 1:100, 1:500, 1:1000, 1:5000)
Including all appropriate controls
Evaluating signal-to-noise ratio at each dilution
Selecting the dilution that provides maximum specific signal with minimal background
This optimization is particularly important when working with novel antibodies or uncharacterized experimental systems.
Validating antibody specificity is critical for research reliability. Several approaches could be used:
Western blot analysis comparing wild-type samples with knockout/knockdown models
Immunoprecipitation followed by mass spectrometry
Competitive binding assays with purified recombinant SPCC1919.04 protein
Cross-reactivity testing against related proteins
Comparing staining patterns with multiple antibodies against different epitopes of the same protein
The search results show examples of antibody validation through comparing expression patterns in different cell types and developmental stages .
When experiencing high background or non-specific binding with antibodies like SPCC1919.04, researchers should systematically:
Increase blocking duration and concentration (typically using BSA, serum, or commercial blocking solutions)
Optimize primary antibody concentration (often lower concentrations reduce background)
Adjust incubation conditions (temperature, duration)
Increase wash steps frequency and duration
Use more specific secondary antibodies
Pre-adsorb antibodies with tissues/cells lacking the target protein
Evaluate fixation methods that might preserve epitope accessibility while reducing non-specific binding
These methodological adjustments can significantly improve signal specificity in complex experimental systems.
When adapting antibodies like SPCC1919.04 for in vivo imaging:
Antibody format must be optimized (full IgG vs Fab fragments)
Clearance kinetics must be evaluated
Conjugation chemistry for imaging probes must preserve antibody functionality
Potential immunogenicity must be assessed
Tissue penetration capabilities must be determined
Signal-to-background ratio in complex tissues must be optimized
The search results suggest that fluorescently labeled antibodies can be effective tools for studying cellular differentiation and function in complex biological systems .
For multiparametric analysis:
Carefully select antibodies from different host species to avoid cross-reactivity
Use directly conjugated primary antibodies when possible
Implement sequential staining protocols when using antibodies from the same species
Conduct thorough spectral compensation when using multiple fluorophores
Include appropriate single-stain controls for each antibody
The search results demonstrate successful co-staining approaches, such as detecting Olig2 and Oligodendrocyte Marker O4 simultaneously in differentiated rat cortical stem cells using properly selected primary and secondary antibodies .
For quantitative analysis of immunofluorescence data:
Implement standardized image acquisition parameters
Use appropriate software for automated or semi-automated analysis
Establish clear criteria for positive signal threshold determination
Normalize signal intensity to appropriate reference standards
Account for potential autofluorescence through proper controls
Consider multiple fields and biological replicates for statistical robustness
Examples from the search results show that both qualitative assessment and quantitative analysis of antibody staining can provide valuable information about protein expression patterns .
When facing contradictory results:
Compare epitope locations for each antibody clone
Evaluate antibody validation methods used for each clone
Test multiple orthogonal detection methods
Consider protein conformation, post-translational modifications, or splice variants that might affect epitope accessibility
Assess experimental conditions that might affect epitope exposure differently between antibodies
Consult literature for known limitations of specific antibody clones
This systematic approach helps distinguish between true biological findings and technical artifacts related to antibody performance.
Antibodies can enhance single-cell analysis through:
Integration with single-cell flow cytometry for protein expression profiling
Combination with single-cell RNA sequencing for protein-RNA correlation
Application in imaging mass cytometry for spatial protein mapping
Use in proximity ligation assays for protein interaction studies at single-cell resolution
Implementation in microfluidic platforms for antibody-based cell sorting
The search results demonstrate applications of antibodies in flow cytometry for detecting specific markers in cellular subpopulations .
For high-throughput applications:
Antibody stability under automated handling conditions must be assessed
Reproducibility across plates and batches must be validated
Compatibility with miniaturized assay formats must be confirmed
Signal dynamic range must be optimized for detection systems
Tolerance to DMSO or other compounds in screening libraries must be evaluated
Data analysis pipelines for large-scale antibody-based screening must be established
These considerations ensure reliable results when implementing antibody-based detection in high-throughput research contexts.