KEGG: spo:SPCC737.05
STRING: 4896.SPCC737.05.1
SPCC737.05 is an uncharacterized protein from Schizosaccharomyces pombe (strain 972 / ATCC 24843) with 264 amino acids in its full-length form. The protein's amino acid sequence (MQNELNPILLSQNSIRFATRVAIFFIIRDELVEAVTWRHPVKSMCLGLTITLLYLHPVSFSAILLLVFLTMMPISMTHDVTTNLKDLQNFMASYSSSYDQLLYFRQNYYHHITPSAISSGLLLVSLVLIFLLAYLRISIDRYLPIAIWIGLISLHPKLRSYLIQFYSAKRDHVPYLQIRNELAQVWRHVDISGSQTTTRYTSFPKFNPENSVTSLDLVEPPENYSWAPQSDWTFVPPNEFRRFILWSPQPPKMNRKSSHGSNLPL) suggests multiple hydrophobic regions that could indicate transmembrane domains . When designing experiments, researchers should consider these potential membrane-spanning regions as they may influence protein folding, purification strategies, and functional assays.
For optimal stability, SPCC737.05 recombinant protein should be stored in a Tris-based buffer with 50% glycerol . For extended storage, maintain the protein at -20°C or -80°C, with the latter being preferable for long-term applications. Working aliquots can be stored at 4°C for up to one week to minimize freeze-thaw cycles . It is recommended to prepare multiple small-volume aliquots upon initial thawing to prevent protein degradation, as repeated freezing and thawing should be avoided .
When designing experiments with SPCC737.05, implement both positive and negative controls to ensure result validity. For functional assays, include well-characterized S. pombe proteins of similar size/structure as positive controls. For negative controls, use either buffer-only samples or proteins from non-related pathways. According to experimental design principles, variables must be clearly defined with appropriate constants maintained throughout the experiment . A proper experimental design worksheet should include:
| Control Type | Purpose | Example |
|---|---|---|
| Positive Control | Validate assay functionality | Known S. pombe cell cycle proteins |
| Negative Control | Establish baseline/background | Buffer only or unrelated protein |
| Technical Replicates | Assess methodological variation | Minimum triplicate measurements |
| Biological Replicates | Account for biological variation | Different protein preparations |
Designing robust experiments for characterizing SPCC737.05 requires a systematic approach. Begin with a clear hypothesis about the protein's potential function based on sequence analysis and known features . Structure your experimental approach using the following framework:
Define specific questions about SPCC737.05 function
Identify dependent and independent variables
Establish experimental constants
Document safety considerations
Develop detailed procedures with both written and visual elements
List required materials and equipment
For SPCC737.05, consider leveraging S. pombe cell cycle regulatory networks to identify potential functional relationships, as demonstrated in previous regulatory network studies . Analyzing time-course expression data across cell cycle phases may reveal coordination patterns with known proteins like forkhead transcription factor fkh2 .
To investigate protein-protein interactions of SPCC737.05, employ multiple complementary techniques:
Yeast two-hybrid screening can identify potential interaction partners, particularly when using the full-length protein or specific domains as bait. Co-immunoprecipitation experiments with tagged versions of SPCC737.05 can validate interactions in more native contexts. For higher confidence results, implement quantitative proteomic approaches using mass spectrometry.
When analyzing interaction data, consider the regulatory network context of S. pombe's cell cycle. Previous research has identified over 500 putative regulatory targets and detected many phase-specific regulatory motifs in S. pombe . Integrating your interaction data with existing regulatory networks can provide valuable context for understanding SPCC737.05's functional role.
To investigate SPCC737.05's potential role in cell cycle regulation, analyze its expression patterns across different cell cycle phases using synchronized cultures. Previous research on S. pombe cell cycle has revealed that genes with similar functions often display coordinated expression patterns and can be clustered based on their temporal profiles .
For systematic analysis, implement the following approach:
Generate synchronized S. pombe cultures using established methods
Collect samples at regular intervals covering the entire cell cycle
Measure SPCC737.05 expression using RT-qPCR or RNA-seq
Apply computational methods similar to those used in previous studies that identified 31 clusters of co-regulated genes in S. pombe
Compare SPCC737.05 expression patterns with known cell cycle regulators
For robust statistical analysis of SPCC737.05 experimental data, implement advanced experimental design and statistical methods as outlined in Volume 2: Advanced Experimental Design frameworks . Consider the following approaches:
When working with recombinant SPCC737.05, researchers often encounter several challenges:
| Challenge | Potential Causes | Solutions |
|---|---|---|
| Poor expression | Toxicity to host cells; codon bias | Use regulated induction systems; optimize codons |
| Inclusion body formation | Hydrophobic regions; improper folding | Modify expression conditions (temperature, induction); use fusion tags |
| Low protein solubility | Transmembrane domains; improper buffer | Test different detergents; optimize buffer composition |
| Protein degradation | Protease activity; unstable domains | Add protease inhibitors; express specific domains |
| Low purity | Non-specific binding; improper washing | Optimize purification protocol; use tandem purification |
The amino acid sequence of SPCC737.05 reveals multiple hydrophobic regions that may form transmembrane domains , potentially leading to solubility issues during expression and purification. Consider expressing the protein in membrane-mimetic environments or using solubility-enhancing fusion tags.
To distinguish between artifacts and genuine characteristics:
Implement multiple detection methods for key observations
Include appropriate positive and negative controls in all experiments
Perform independent biological replicates using different protein batches
Test observations under varying experimental conditions
Compare results from different expression systems or fusion tags
When characterizing membrane proteins like SPCC737.05 (based on its hydrophobic sequence ), artificial aggregation can be misinterpreted as oligomerization. Cross-validate findings using both detergent-solubilized and liposome-reconstituted forms of the protein to ensure observations represent native properties.
Investigating SPCC737.05 across different S. pombe strains can provide insights into its evolutionary conservation and functional importance. A geographically diverse collection of S. pombe isolates has revealed significant genetic diversity across 40 unique haplotypes , offering an opportunity to examine SPCC737.05 sequence conservation.
The collection encompasses strains from diverse geographic locations including Mexico, Brazil (Belo Horizonte, Viçosa, Aracaju, and Salinas), as shown in the table below:
| Strain Groups | Haplotype Number | Geographic Origin |
|---|---|---|
| UWOPS 92.229.4 | 1 | Mexico |
| UWOPS 94.422.2 | 2 | Mexico |
| UFMG A529, UFMG 790, UFMG A826 | 3 | Brazil (Belo Horizonte and Viçosa) |
| UFMG R416, UFMG R418, UFMG R420, UFMG R424, UFMG R435 | 4 | Brazil (Aracaju) |
| UFMG A521, UFMG A571, UFMG A602 | 7 | Brazil (Belo Horizonte) |
| UFMG A1000, UFMG A1153 | 8 | Brazil (Belo Horizonte and Salinas) |
Comparative analysis of SPCC737.05 across these diverse strains could reveal:
Conserved domains indicating functional importance
Variable regions suggesting adaptation to different environments
Correlations between sequence variations and phenotypic differences
Evolutionary selection pressures on different protein domains
To comprehensively characterize SPCC737.05, implement an integrative multi-omics approach that combines:
Genomics: Analyze sequence conservation across S. pombe strains and related species
Transcriptomics: Examine expression patterns under various conditions and across cell cycle phases
Proteomics: Identify post-translational modifications and interaction partners
Metabolomics: Detect metabolic changes in knockout/overexpression strains
Phenomics: Assess cellular phenotypes when SPCC737.05 is perturbed
Previous research demonstrates the value of integrative approaches, having constructed a global gene regulatory network for S. pombe that identified phase-specific time-lagged correlations between transcription factors and genes . Similar approaches could place SPCC737.05 within this regulatory framework to elucidate its function.
When designing these multi-omics experiments, follow systematic planning principles that clearly define hypotheses, backgrounds, questions, variables, constants, and safety considerations .