ILM1 is implicated in:
Mitochondrial DNA Maintenance: Required for stability of mitochondrial DNA under stress .
Filamentous Growth: Induced during slowed DNA synthesis or nutrient limitation .
Protein Interactions: Associates with VPS65, a putative vacuolar protein sorting factor .
| Functional Partner | Role | Interaction Score |
|---|---|---|
| VPS65 | Vacuolar protein sorting; anaerobic growth | 0.609 (STRING-db) |
Expression System: Optimized in E. coli for high yield . Codon bias is addressed via rare tRNA supplementation, a method validated for yeast mitochondrial proteins .
Purification: Immobilized metal affinity chromatography (IMAC) leveraging the His tag .
Stability: Lyophilization with trehalose prevents aggregation; glycerol (5–50%) extends shelf life .
Mitochondrial Studies: Used to investigate DNA loss mechanisms under oxidative stress .
Protein Interaction Mapping: Screened via yeast two-hybrid systems to identify partners like VPS65 .
Structural Biology: Serves as a substrate for crystallization trials due to high purity .
ILM1 homologs exist in other fungi, with varying lengths and roles:
| Species | Protein Length | Function |
|---|---|---|
| S. cerevisiae (S288c) | 203 aa | Mitochondrial DNA stability |
| Schizosaccharomyces pombe | 161 aa | Uncharacterized |
KEGG: sce:YJR118C
STRING: 4932.YJR118C
ILM1 (encoded by the ILM1 locus S000003879) is a protein in Saccharomyces cerevisiae. According to the Saccharomyces Genome Database, researchers can access its complete DNA sequence, protein sequence, genomic context, and coordinates through the database. The SGD provides multiple bioinformatic tools including BLASTN, BLASTP, primer design capabilities, restriction mapping, and six-frame translation for comprehensive analysis of this gene .
For in-depth sequence analysis, researchers should utilize both basic BLAST searches against the S. cerevisiae reference genome as well as extended comparisons against other fungal species to identify conserved domains and evolutionary relationships.
For high-yield expression of recombinant proteins in S. cerevisiae, the selection of appropriate expression vectors is critical. Research indicates that POT1-based expression systems offer significant advantages:
| Expression Vector | Key Features | Advantages | Yield Comparison |
|---|---|---|---|
| CPOTud vector | POT1 marker, TPI1 promoter | >10-fold higher production vs. standard vectors | Superior for high expression requirements |
| POTud plasmid | POT1 marker, TEF1 promoter | High plasmid stability in rich media | Good for standard expression needs |
| p426GPD | URA3 marker, GPD promoter | Traditional system, well-characterized | Lower yields than POT1-based systems |
The POT1-based systems have demonstrated exceptional performance because they maintain high plasmid stability even when strains are cultivated in rich medium, generating higher cell numbers and protein production compared to traditional auxotrophy-based systems .
Promoter selection significantly impacts not only expression levels but also production kinetics throughout different growth phases:
| Promoter | Expression Characteristics | Growth Phase Performance | Best Applications |
|---|---|---|---|
| TEF1 | Strong, constitutive expression | High expression in both glucose-rich and glucose-limited conditions | When consistent expression is needed |
| TPI1 | Strong glycolytic gene promoter | Higher performance during glucose metabolism | For proteins better expressed during active growth |
| GPD | Constitutive, glycolytic enzyme | General high expression | Standard expression applications |
Research has demonstrated that expression kinetics change during diauxic shift. For example, insulin precursor shows higher production rate during glucose uptake phase, while amylase shows higher production during ethanol uptake phase . This phase-dependent expression pattern should be considered when designing ILM1 expression strategies.
Leader sequence selection is crucial for efficient protein secretion. Two widely-studied leader sequences provide distinct advantages:
| Leader Sequence | Characteristics | Advantages | Considerations |
|---|---|---|---|
| Alpha factor leader | Contains three glycosylation sites | Successfully increases protein secretion for many proteins | May result in hyperglycosylation |
| Synthetic leader (Yap3-TA57) | No glycosylation sites | Ensures high secretion levels; avoids glycosylation issues | Preferred for non-glycosylated proteins |
The alpha factor leader from S. cerevisiae has been proven to successfully increase protein secretion levels in numerous cases. In contrast, the synthetic leader Yap3-TA57 contains no glycosylation sites and has demonstrated high secretion efficiency for proteins like insulin precursor .
When expressing ILM1, researchers should consider testing both leader sequences to determine which provides optimal expression based on protein characteristics and experimental requirements.
Based on established methodologies for yeast protein expression, an effective cloning strategy involves:
Gene amplification from genomic DNA using high-fidelity polymerase
Insertion of KOZAK sequence (aacaaa) before the secretion leader to enhance translation efficiency
Addition of Kex2 site (aaaaga) and spacer (gaagaaggtgaaccaaaa) between leader and protein coding sequence to improve leader cleavage
Incorporation of appropriate restriction sites for flexible vector construction
Selection of appropriate vector backbone with optimal marker system
For yeast genomic DNA isolation, methods such as the Qiagen Genomic Tip-100 Kit provide high-quality template for PCR amplification . The use of a nested PCR approach can improve specificity when amplifying from genomic templates .
Proper nucleic acid preparation is essential for successful cloning and expression:
Genomic DNA isolation: For S. cerevisiae strains like INVSc1, use of specialized kits (Qiagen Genomic Tip-100 Kit) ensures high-quality template DNA
Vector preparation: Plasmid isolation from E. coli (using Qiagen Midi-Prep Kit) following amplification with appropriate antibiotics
Restriction digestion: Sequential digestion with high-fidelity restriction enzymes followed by gel purification
PCR optimization: Use of high-fidelity polymerases for gene amplification with optimized annealing temperatures
Primer design: Incorporation of appropriate restriction sites, leader sequences, and fusion tags
These methods have been successfully applied for expression of other yeast proteins and provide a foundation for ILM1 expression work .
Modern computational approaches have revolutionized protein structure prediction, with important implications for ILM1 research:
The AlphaFold system developed by Google's DeepMind has created a comprehensive database of protein structures, including over 350,000 proteins from 20 organisms that scientists rely on for research. This AI-based system was trained on 170,000 known protein structures and can accurately predict the shape of proteins based on their amino acid sequences, achieving accurate predictions for 58% of human proteins .
For ILM1 research, these computational models can:
Provide structural insights without requiring crystallization
Identify potential functional domains
Guide rational design of mutations for structure-function studies
Inform protein-protein interaction studies
Assist in designing stabilizing modifications
The transformative nature of these prediction tools has fundamentally changed biological research, making structural information more accessible even for challenging proteins .
Post-translational modifications, particularly glycosylation, significantly impact protein function and stability. For characterizing modifications in recombinant ILM1:
Glycosylation analysis:
Enzymatic deglycosylation with endoglycosidases followed by SDS-PAGE mobility shift analysis
Mass spectrometry to identify specific glycan structures
Comparison of expression with glycosylation-competent (alpha factor) versus non-glycosylating (Yap3-TA57) leader sequences
Phosphorylation analysis:
Phospho-specific staining or antibody detection
Mass spectrometry following phosphopeptide enrichment
Expression in phosphatase-deficient strains
S. cerevisiae expression often results in hyperglycosylation of proteins. Leader sequences are sometimes mutated and selected to reduce the amount of unprocessed and hyper-glycosylated proteins, as well as to more efficiently direct proteins through the secretory pathway .
Enhancement of recombinant protein secretion can be achieved through multiple complementary approaches:
| Enhancement Strategy | Mechanism | Implementation Approach | Expected Outcome |
|---|---|---|---|
| Host strain engineering | Improve cellular machinery | Overexpress folding chaperones | Reduces misfolded protein |
| Overexpress trafficking proteins | Enhances secretory pathway efficiency | ||
| Reduce proteolysis | Increases protein yield | ||
| Expression system optimization | Maximize gene expression | Modify protein coding sequences | Improves translation efficiency |
| Optimize signal sequences | Enhances secretion targeting | ||
| Increase plasmid copy number | Raises gene dosage | ||
| Leader sequence engineering | Improve protein processing | Use modified alpha factor leader | Reduces hyperglycosylation |
| Select synthetic leaders without glycosylation sites | Controls post-translational modifications |
These strategies have demonstrated success in enhancing secretion of various recombinant proteins in yeast systems and can be applied systematically to optimize ILM1 expression.
Growth conditions significantly impact recombinant protein yields in S. cerevisiae. Based on established protocols:
Media selection:
Rich media (YPD: 20 g/L glucose, 10 g/L yeast extract, 20 g/L peptone, 1 g/L BSA) provides high cell density and is compatible with POT1-based expression systems
Synthetic media is required for auxotrophy marker expression systems but yields lower cell numbers
Growth parameters:
Temperature: Standard growth at 30°C, but lower temperatures (20-25°C) may improve folding of complex proteins
pH: Maintaining pH 5.5-6.0 often improves protein stability
Aeration: High aeration levels support biomass production and protein synthesis
Induction strategy:
For constitutive promoters (TEF1, GPD), no induction is required
For regulated promoters, specific induction protocols must be followed
The POT1 expression systems have distinct advantages as they maintain high plasmid stability even in rich media, which can generate higher cell numbers and higher protein production compared to auxotrophy-based systems that require synthetic media .
When considering expression of yeast proteins like ILM1, multiple host organisms provide distinct advantages:
| Host Organism | Advantages | Limitations | Best Applications |
|---|---|---|---|
| S. cerevisiae | Native environment, proper folding | Lower yields than other systems | When authentic modifications are essential |
| Pichia pastoris | Higher expression, less hyperglycosylation | Different glycosylation pattern | High-yield secreted proteins |
| Escherichia coli | Highest yields, simplest system | No glycosylation, folding issues | Simple proteins, inclusion body refolding |
For yeast membrane carrier proteins, researchers have undertaken recombinant expression in S. cerevisiae, P. pastoris, and E. coli, optimizing expression level and refolding to support direct biochemical characterization . This multi-system approach can be applied to ILM1 to determine the optimal expression host.
Strain selection has significant impacts on expression outcomes:
Laboratory strains (e.g., S288C, CEN.PK): Well-characterized genomic background, optimal for fundamental research
Protease-deficient strains: Reduce protein degradation, increasing yield of sensitive proteins
Chaperone-overexpressing strains: Improve folding of complex proteins
Glycosylation-modified strains: Provide humanized or reduced glycosylation patterns
Through strategic selection of strain background, expression vector, leader sequence, and culture conditions, researchers can optimize recombinant production of ILM1 for structural and functional characterization.