The Recombinant Schizosaccharomyces pombe Uncharacterized membrane protein C1682.06 (SPCC1682.06) is a protein derived from the fission yeast Schizosaccharomyces pombe. This protein is classified as uncharacterized, meaning its specific biological function and role within the cell have not been fully elucidated. The protein is expressed as a recombinant form, often with a His-tag for purification purposes, and is available for research applications.
Protein Length: The recombinant form of SPCC1682.06 is typically expressed as a full-length protein consisting of 238 amino acids .
Expression System: It is commonly expressed in Escherichia coli (E. coli) for ease of production and purification .
Tagging: The protein is often fused with an N-terminal His-tag to facilitate purification using nickel affinity chromatography .
Future studies on SPCC1682.06 could involve functional characterization to determine its role in cellular processes. This might include investigating its involvement in membrane-related functions or its interaction with other proteins within the cell. Additionally, comparative studies with other membrane proteins in S. pombe could provide insights into its potential functions.
KEGG: spo:SPCC1682.06
Recombinant SPCC1682.06 protein is commonly produced using E. coli expression systems. The methodology typically follows these steps:
Gene cloning: The full-length coding sequence (1-238 amino acids) is PCR-amplified from S. pombe genomic DNA or cDNA.
Vector construction: The amplified sequence is inserted into an expression vector containing an N-terminal His-tag for purification purposes.
Transformation: The recombinant plasmid is transformed into an E. coli expression strain.
Protein expression: Bacterial cultures are induced to express the recombinant protein.
Purification: The His-tagged protein is purified using affinity chromatography.
Quality control: The purified protein is assessed for purity (>90% by SDS-PAGE) .
For optimal results, expression conditions should be optimized for membrane proteins, potentially including lower induction temperatures (16-25°C) and specific E. coli strains designed for membrane protein expression.
Proper handling and storage of recombinant SPCC1682.06 protein is critical for maintaining its stability and functionality:
| Storage Condition | Recommendation | Notes |
|---|---|---|
| Long-term storage | -20°C/-80°C | Aliquoting is necessary to avoid repeated freeze-thaw cycles |
| Working stock | 4°C | Stable for up to one week |
| Storage buffer | Tris/PBS-based buffer with 6% Trehalose, pH 8.0 | Maintains protein stability |
| Reconstitution | Deionized sterile water (0.1-1.0 mg/mL) | Brief centrifugation recommended before opening |
| Glycerol addition | 5-50% final concentration | 50% is standard for long-term storage |
To minimize protein degradation, it is critical to avoid repeated freeze-thaw cycles. Working aliquots should be prepared during initial reconstitution . The protein is typically supplied as a lyophilized powder that requires proper reconstitution following manufacturer protocols to ensure optimal activity and stability.
Determining the subcellular localization of SPCC1682.06 requires a systematic experimental approach:
Fluorescent protein tagging:
C-terminal or N-terminal GFP/mCherry fusion constructs
Expression under native promoter to avoid overexpression artifacts
Controls with known membrane protein localizations
Immunofluorescence microscopy:
Production of specific antibodies against SPCC1682.06
Co-staining with markers for various cellular compartments (ER, Golgi, plasma membrane)
Super-resolution microscopy for detailed localization
Subcellular fractionation:
Differential centrifugation to separate membrane fractions
Western blot analysis of fractions using anti-His antibodies (for recombinant protein) or specific antibodies
Mass spectrometry analysis of membrane proteome
Electron microscopy:
Immunogold labeling for high-resolution localization
Freeze-fracture electron microscopy for membrane protein distribution
The experimental design should incorporate appropriate controls and multiple technical approaches to validate the localization findings. Since SPCC1682.06 is predicted to be a membrane protein, specific attention should be paid to distinguishing between different membrane compartments within the cell.
Generation and characterization of SPCC1682.06 deletion mutants requires careful experimental design, especially since S. pombe genome deletion projects have successfully deleted 99% of fission yeast open reading frames :
Generation of deletion mutants:
Confirmation of deletion:
PCR verification using primers outside the deletion cassette
Southern blot analysis for complex genomic regions
RT-PCR to confirm absence of transcript
Phenotypic characterization:
Complementation tests:
Reintroduction of SPCC1682.06 gene to confirm phenotype rescue
Expression of SPCC1682.06 under regulated promoters for functional studies
The S. pombe genome deletion project uses heterozygous diploid strains for initial deletions, followed by sporulation and tetrad analysis to determine if genes are essential for vegetative growth . This approach is particularly valuable for SPCC1682.06 whose function remains uncharacterized.
Investigating protein-protein interactions for SPCC1682.06 requires specialized approaches for membrane proteins:
Yeast two-hybrid (Y2H) adaptations:
Split-ubiquitin Y2H system designed specifically for membrane proteins
Modified membrane Y2H systems that allow for testing interactions in membrane environments
Controls with known membrane protein interactors
Co-immunoprecipitation approaches:
Epitope tagging of SPCC1682.06 (His, FLAG, or HA tags)
Crosslinking before solubilization to capture transient interactions
Gentle detergent solubilization to maintain membrane protein complexes
Mass spectrometry analysis of precipitated complexes
Proximity labeling methods:
BioID or TurboID fusion to SPCC1682.06
APEX2 proximity labeling
Identification of proximal proteins in native cellular context
Förster Resonance Energy Transfer (FRET):
Dual fluorescent protein tagging (SPCC1682.06 and potential interactors)
Live-cell FRET measurements
Controls with non-interacting membrane proteins
Bimolecular Fluorescence Complementation (BiFC):
Split fluorescent protein fragments fused to SPCC1682.06 and candidate interactors
Visualization of reconstituted fluorescence upon interaction
Quantification of interaction strength
Each approach has advantages and limitations, particularly for membrane proteins. A multi-method strategy is recommended to validate any identified interactions. Proper experimental design must include appropriate controls to account for the hydrophobic nature of membrane proteins, which can lead to false positives in interaction studies.
Comparative genomics provides valuable insights for uncharacterized proteins like SPCC1682.06:
Ortholog identification:
BLAST searches against diverse fungal genomes
Reciprocal best hit analysis
Synteny conservation analysis across yeasts
Phylogenetic profiling:
Construction of presence/absence patterns across species
Correlation with known functional categories
Identification of co-evolved gene clusters
Structural prediction comparisons:
Secondary structure predictions across orthologs
Transmembrane domain conservation analysis
Identification of conserved motifs or domains
Gene neighborhood analysis:
Examination of genomic context in S. pombe
Comparison of gene arrangements across species
Identification of conserved gene clusters suggesting functional relationships
Expression correlation networks:
Analysis of co-expression patterns across conditions
Identification of genes consistently co-regulated with SPCC1682.06
Integration with protein-protein interaction data
By combining these approaches, researchers can generate testable hypotheses about SPCC1682.06 function based on evolutionary conservation patterns and genomic context. The identification of orthologs with known functions in other species would be particularly valuable for directing experimental investigations.
Functional characterization of SPCC1682.06 requires a systematic experimental design following these steps :
Define research variables:
Independent variable: Expression/activity level of SPCC1682.06
Dependent variables: Phenotypic outcomes (growth rate, stress response, membrane integrity)
Control variables: Growth conditions, genetic background, expression levels
Generate specific testable hypotheses:
Based on bioinformatic predictions (e.g., membrane transport function)
Derived from phenotypic observations of deletion mutants
Informed by protein localization data
Design experimental treatments:
Conditional expression systems (e.g., nmt1 promoter with thiamine regulation)
Site-directed mutagenesis of key predicted functional residues
Chimeric protein constructs to test domain functions
Establish appropriate control groups:
Wild-type S. pombe strains
Strains expressing known membrane proteins of similar size/topology
Empty vector controls for expression studies
Measurement methods for dependent variables:
Growth assays under various conditions
Membrane integrity tests (e.g., sensitivity to detergents or membrane-disrupting agents)
Metabolite transport assays if transporter function is suspected
Lipidomic analysis for membrane composition effects
Membrane proteins like SPCC1682.06 present specific challenges for structural studies:
| Challenge | Solution | Methodological Considerations |
|---|---|---|
| Poor expression levels | Optimization of expression systems | Test multiple E. coli strains (C41/C43, Rosetta, BL21), yeast or insect cell systems |
| Protein misfolding | Reduced expression temperature | 16-20°C expression to slow folding and insertion |
| Protein aggregation | Screening detergents for solubilization | Systematic testing of detergents (DDM, LMNG, OG) for extraction efficiency |
| Maintaining native conformation | Lipid supplementation | Addition of specific lipids during purification |
| Protein instability | Buffer optimization | Screen pH, salt concentration, and stabilizing agents |
| Low yield of purified protein | Scale-up strategies | Fermenter-scale production with optimized conditions |
| Crystallization difficulties | LCP crystallization or Cryo-EM | Alternative structural determination methods for membrane proteins |
For SPCC1682.06 specifically, the current E. coli expression system with His-tag purification may need further optimization for structural studies. Nanodiscs or amphipols could be employed to maintain protein stability in a membrane-like environment after purification. The systematic screening of conditions is essential for successful structural characterization of this membrane protein.
Investigating essentiality and conditional phenotypes requires sophisticated genetic approaches:
Tetrad analysis from heterozygous diploids:
Conditional mutant generation:
Temperature-sensitive alleles created by random mutagenesis
Auxin-inducible degron (AID) system for controlled protein depletion
Promoter replacement with regulatable promoters (nmt1, urg1)
Synthetic genetic interactions:
Systematic genetic crosses with deletion collection strains
Synthetic genetic array (SGA) analysis
Identification of genetic interactions suggesting functional relationships
High-throughput phenotyping:
Growth in presence of various stressors (osmotic, oxidative, pH)
Cell wall/membrane integrity stressors (calcofluor white, SDS)
Nutrient limitation responses
Transcriptomic profiling:
RNA-seq analysis of deletion or depletion strains
Identification of compensatory gene expression changes
Integration with existing S. pombe transcriptome datasets
The S. pombe genome deletion project has established methods for determining gene essentiality through heterozygous diploid sporulation . For SPCC1682.06, a systematic approach combining these methods would provide comprehensive insights into its biological role and importance under various conditions.
Several specialized bioinformatic tools and resources are particularly useful for analyzing uncharacterized membrane proteins like SPCC1682.06:
Protein structure and topology prediction:
TMHMM/Phobius for transmembrane domain prediction
PredictProtein for secondary structure analysis
AlphaFold2 for 3D structure prediction
S. pombe-specific resources:
Protein family and domain analysis:
InterPro for functional domains
PFAM for protein family classification
PROSITE for motif identification
Membrane protein-specific tools:
MemGen for membrane protein family classification
OPM database for orientation of proteins in membranes
MESSA for integrated membrane protein annotation
Functional prediction tools:
ProtFun for general function prediction
TransportDB for transporter classification
CELLO for subcellular localization prediction
Integration of predictions from multiple tools provides the most reliable functional hypotheses. Researchers should prioritize tools specifically designed for membrane proteins, as general protein analysis tools often have reduced accuracy for transmembrane proteins.
Investigating post-translational modifications (PTMs) of SPCC1682.06 requires specialized experimental approaches:
Mass spectrometry-based PTM identification:
Immunoprecipitation of tagged SPCC1682.06
Sample preparation optimized for membrane proteins
Enrichment strategies for specific modifications (phosphopeptides, glycopeptides)
Data analysis with PTM-specific search parameters
Site-directed mutagenesis of predicted PTM sites:
Bioinformatic prediction of potential modification sites
Mutation of candidate residues (e.g., S/T/Y for phosphorylation)
Functional analysis of mutant proteins
Specific modification detection methods:
Phospho-specific antibodies if available
ProQ Diamond staining for phosphoproteins
Glycoprotein-specific staining methods
Ubiquitination detection via western blotting
PTM inhibitor studies:
Treatment with kinase/phosphatase inhibitors
Deglycosylation enzymes
Proteasome inhibitors (for ubiquitination)
Analysis of effects on protein function and stability
Temporal dynamics of modifications:
Synchronized cultures to study cell cycle-dependent modifications
Stress responses to identify condition-specific modifications
Time-course analysis after stimulation
PTMs can significantly impact membrane protein localization, stability, and function. For SPCC1682.06, identifying relevant modifications could provide critical insights into its regulation and cellular role.