SCY_1535 is produced recombinantly using S. cerevisiae or bacterial expression systems. Key methodologies include:
Yeast Systems: Leverages S. cerevisiae’s native post-translational modification capabilities. Strain AS2.489 is commonly used with vectors like pScIKP for multi-gene co-expression .
E. coli: Utilized for cost-effective production. Example: Full-length SCY_1535 fused to an N-terminal His-tag, expressed in E. coli and purified via affinity chromatography .
Genes are amplified using PCR with primers containing restriction sites (e.g., Apa I) .
Electrotransformation or chemical methods introduce linearized vectors (e.g., pScIKP-amy-ga-ap) into yeast .
Selection markers like G418 (200 µg/ml) ensure recombinant strain isolation .
While SCY_1535’s biological role remains unclear, its recombinant production aligns with broader applications of S. cerevisiae proteins:
Model for Protein Expression: SCY_1535 serves as a test case for optimizing full-length protein production in yeast, addressing challenges like codon bias and proteolytic degradation .
Synthetic Biology: Used in strain engineering to study minimal functional protein units or synthetic pathways .
SCY_1535 shares taxonomic context with characterized proteins (e.g., ARI1 in inhibitor-tolerant yeast strains), aiding studies on stress response mechanisms .
Research on SCY_1535 faces hurdles typical of uncharacterized proteins:
Functional Annotation: Absence of homologous domains limits functional predictions .
Stability Issues: Small proteins like SCY_1535 are prone to aggregation, necessitating optimized buffers (e.g., Tris/PBS with 6% trehalose) .
Low Yield: Native expression levels are undetectable, requiring strong promoters (e.g., GAPDH) for recombinant overexpression .
Functional Genomics: CRISPR/Cas9-based knockout studies could elucidate SCY_1535’s role in yeast physiology.
Structural Biology: Cryo-EM or NMR may resolve its tertiary structure, guiding hypothesis-driven research .
Industrial Relevance: Integration into engineered yeast strains for biofuel or pharmaceutical production, leveraging S. cerevisiae’s industrial robustness .
What is SCY_1535 and what are its basic characteristics?
SCY_1535 is an uncharacterized protein from Saccharomyces cerevisiae with a full length of 72 amino acids. Currently available as a recombinant protein with His-tag, it is typically expressed in E. coli expression systems . As an uncharacterized protein, SCY_1535 presents unique research opportunities for functional genomics studies. S. cerevisiae's genome has been completely sequenced with approximately 6000 genes identified, of which 5570 are predicted to be protein-encoding . Uncharacterized proteins like SCY_1535 represent knowledge gaps in our understanding of yeast biology that require further investigation.
Property | Description |
---|---|
Source Organism | Saccharomyces cerevisiae |
Length | 72 amino acids |
Expression System | E. coli |
Tag | His |
Current Function Status | Uncharacterized |
What initial experimental approaches are recommended for characterizing SCY_1535?
Initial characterization should follow a systematic approach:
Bioinformatic analysis: Begin with sequence homology comparisons, domain prediction, and structural modeling to generate functional hypotheses.
Gene expression profiling: Determine conditions under which SCY_1535 is expressed using RNA-seq methods. For reliable results, at least six biological replicates should be used, increasing to 12+ replicates when identifying all differentially expressed genes regardless of fold change .
Knockout/knockdown studies: Create SCY_1535 deletion strains to observe phenotypic changes. S. cerevisiae's amenability to genetic manipulation makes it ideal for this approach .
Protein localization: Use GFP-tagging to determine subcellular localization, which can provide functional insights.
Interactome analysis: Perform yeast two-hybrid or co-immunoprecipitation studies to identify protein interaction partners .
How many biological replicates are necessary for RNA-seq experiments when studying SCY_1535 expression?
Based on comprehensive RNA-seq benchmarking studies in S. cerevisiae, the number of biological replicates significantly impacts statistical power:
With three biological replicates, most analytical tools identify only 20%-40% of significantly differentially expressed genes compared to larger replicate numbers .
For high fold-change genes (>4-fold), 3-6 replicates may achieve >85% identification rate .
To achieve >85% identification rate for all significantly differentially expressed genes regardless of fold change, more than 20 biological replicates are recommended .
For studies with fewer than 12 replicates, EdgeR and DESeq2 show superior combined performance of true positives and false positives .
For higher replicate numbers, DESeq marginally outperforms other tools when minimizing false positives is important .
Therefore, at minimum six biological replicates are recommended for studying SCY_1535 expression, increasing to 12+ for comprehensive profiling.
What culture conditions should be considered when studying SCY_1535 in S. cerevisiae?
When designing experiments involving SCY_1535, consider multiple culture conditions as protein function may be context-dependent:
Standard vs. stress conditions: Test multiple conditions including nutrient limitation, temperature variation, oxidative stress, and osmotic stress, as uncharacterized proteins may have condition-specific functions.
Growth phase dependence: Examine expression during different growth phases (lag, exponential, stationary) as S. cerevisiae metabolism changes significantly between phases .
Carbon source variations: Vary carbon sources (glucose, galactose, glycerol) to explore function under respiratory vs. fermentative conditions. S. cerevisiae exhibits the Crabtree effect, producing ethanol even under aerobic conditions when glucose is present .
Nitrogen source variations: Test different nitrogen sources to identify potential regulatory roles.
pH variations: Test function across pH ranges as this may affect protein activity or expression.
Documenting all culture parameters thoroughly is critical for experimental reproducibility.