Recombinant Saccharomyces cerevisiae Putative Uncharacterized Protein YJL156W-A (YJL156W-A) is a synthetic version of a yeast protein encoded by the gene YJL156W-A. While its native function remains undefined, this recombinant protein is engineered for research purposes, enabling structural and functional studies of uncharacterized yeast proteins. Its classification as "putative" and "uncharacterized" reflects the limited understanding of its biological role, positioning it as a target for proteomic and functional genomics research .
This recombinant protein is primarily used in biochemical assays to study yeast proteome interactions. Key applications include:
SDS-PAGE Analysis: To confirm protein integrity and purity .
Functional Genomics: Investigating conserved domains or interactions with other S. cerevisiae proteins.
Structural Biology: X-ray crystallography or NMR studies to elucidate its tertiary structure.
No functional studies have been reported to date, as its native role in yeast remains uncharacterized .
While YJL156W-A is part of a broader family of uncharacterized yeast proteins, limited evidence exists to link it to specific pathways. For example:
Expression Data: No native expression profiles are available for YJL156W-A in S. cerevisiae .
Functional Homologs: Unlike YLL056C (aldehyde reductase) or YLR165c (pseudouridine synthase), YJL156W-A lacks annotated enzymatic activity .
Phylogenetic Relationships: No conserved domains or orthologs in other organisms have been identified.
Protein | Gene | Function | Status |
---|---|---|---|
YJL156W-A | YJL156W-A | Uncharacterized | Recombinant, no functional data |
YLL056C | YLL056C | Aldehyde reductase (SDR family) | Characterized enzymatic activity |
YLR165c (Pus5p) | YLR165C | RNA pseudouridine synthase | Mitochondrial rRNA modification |
YIL029C | YIL029C | Uncharacterized | Recombinant, no functional data |
YJL156W-A is a putative uncharacterized protein from the yeast Saccharomyces cerevisiae. This protein consists of 73 amino acids with the sequence: MLKIASLKKKDMQTKESCILKRPGLSCPPNKTKEVNESKQIFFLTWKNKATMKVSFIVAPTVMQVQCLFFFIL. It is classified under UniProt ID P0C5N9 and is often studied in recombinant form with tags such as His-tags to facilitate purification and analysis .
The protein's function remains largely uncharacterized, making it an interesting target for fundamental research into yeast genomics and proteomics. When working with this protein, researchers should note that commercially available recombinant versions are typically supplied as lyophilized powders with greater than 90% purity as determined by SDS-PAGE .
For optimal stability and activity, recombinant YJL156W-A should be stored at -20°C/-80°C upon receipt. Before opening, vials should be briefly centrifuged to bring the contents to the bottom. The lyophilized protein should be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL .
To prevent protein degradation, it is recommended to add glycerol to a final concentration of 5-50% (with 50% being a standard concentration) before making aliquots for long-term storage. Repeated freeze-thaw cycles should be avoided as they can compromise protein integrity. For short-term use, working aliquots can be stored at 4°C for up to one week .
When designing experiments to study YJL156W-A, follow these systematic steps for a robust experimental approach:
Define your variables clearly: Identify your independent variables (what you will manipulate) and dependent variables (what you will measure) related to YJL156W-A function .
Formulate a specific, testable hypothesis: Based on genomic location and any preliminary data about YJL156W-A, develop precise hypotheses about its potential functions.
Design experimental treatments: Create experimental conditions that systematically manipulate relevant variables, including knockout/overexpression of YJL156W-A and various environmental conditions .
Assign proper controls: Design both positive and negative controls, including wild-type strains and strains with mutations in related genes .
Plan measurement methods: Select appropriate assays to measure phenotypic changes, protein interactions, or other relevant outcomes .
A well-designed experiment requires careful consideration of potential confounding variables. For example, if comparing growth rates between wild-type and YJL156W-A knockout strains, ensure that all other conditions (media composition, temperature, growth phase) are identical between groups .
When designing genetic modifications for YJL156W-A, several critical factors must be considered:
Genomic context awareness: The S. cerevisiae genome is very compact with relatively small intergenic regions. Since YJL156W-A is a small ORF, complete removal might affect regulatory sequences of adjacent genes. It is therefore recommended to confirm any observed effects through multiple independent approaches .
Selection marker choice: Consider the available selectable markers in your experimental strain. Common prototrophic markers include URA3, LEU2, TRP1, and HIS3. If these are unavailable or already in use, consider dominant markers such as KanR (resistance to G418), NatR (resistance to nourseothricin), or HphR (resistance to hygromycin B) .
Transformation method selection: The lithium acetate/single-stranded carrier DNA/PEG method is recommended for routine procedures due to its simplicity and efficiency. This method does not require specialized equipment and is suitable for high-efficiency transformation scenarios .
Confirmation strategies: Given the potential for unintended effects on adjacent genes, use multiple verification approaches, such as:
Based on available data, E. coli has been successfully used as an expression system for recombinant YJL156W-A with N-terminal His-tags . When selecting an expression system, consider these methodological approaches:
E. coli expression optimization:
Codon optimization may be necessary since yeast and E. coli have different codon usage preferences
Evaluate multiple strains (BL21, Rosetta, etc.) for optimal expression
Test different induction conditions (IPTG concentration, temperature, duration)
Consider fusion tags beyond His-tag (GST, MBP) if solubility issues arise
Alternative expression systems:
Yeast-based expression might provide more native folding and post-translational modifications
Insect cell systems may be valuable for larger-scale production with eukaryotic processing
Expression verification methods:
SDS-PAGE for protein size confirmation
Western blotting for tag detection
Mass spectrometry for sequence verification
The choice of expression system should align with your specific research goals, such as structural studies, functional assays, or antibody production.
For His-tagged YJL156W-A protein, the following purification strategy is recommended:
Initial capture: Immobilized metal affinity chromatography (IMAC) using Ni-NTA or cobalt-based resins provides high selectivity for His-tagged proteins.
Buffer optimization: Since little is known about YJL156W-A's properties, test multiple buffer conditions:
pH range: 6.0-8.0
Salt concentration: 150-500 mM NaCl
Stabilizing agents: glycerol (5-10%)
Reducing agents: DTT or β-mercaptoethanol if cysteine residues are present
Secondary purification: Consider size exclusion chromatography (SEC) or ion exchange chromatography as polishing steps to achieve higher purity.
Quality control assessment:
SDS-PAGE analysis (>90% purity should be achievable)
Western blot verification
Activity assays (if function becomes known)
For storage, maintaining the protein in Tris/PBS-based buffer with 6% trehalose at pH 8.0 has been documented to preserve stability .
To elucidate the function of this uncharacterized protein, a multi-omics approach is recommended:
Computational prediction methods:
Sequence homology analysis to identify conserved domains
Structural prediction and modeling
Protein-protein interaction prediction
Experimental approaches:
Yeast two-hybrid screening to identify interacting proteins
Co-immunoprecipitation followed by mass spectrometry
Phenotypic analysis of knockout strains under various stress conditions
Subcellular localization studies using fluorescent tags
Transcriptomic analysis (RNA-seq) of knockout vs. wild-type strains
Functional genomics techniques:
Synthetic genetic array (SGA) analysis to identify genetic interactions
CRISPR-based screens for functional relationships
Comparative genomics across fungal species
When analyzing data from these approaches, it's crucial to integrate multiple lines of evidence rather than relying on a single technique, as functional predictions for uncharacterized proteins often benefit from converging methodologies.
When designing qPCR experiments to study YJL156W-A expression, follow these methodological guidelines:
Primer design considerations:
Design primers specific to YJL156W-A, avoiding regions with homology to other yeast genes
Optimal amplicon size: 80-150 bp
Primer melting temperatures: 58-62°C
GC content: 40-60%
Check for secondary structures and primer-dimer formation
Reference gene selection:
Use multiple reference genes for normalization (e.g., ACT1, TDH3, ALG9)
Validate reference gene stability under your specific experimental conditions
RNA extraction and quality control:
Use methods optimized for yeast cells (which require breaking the cell wall)
Verify RNA integrity using microfluidic analyzers or gel electrophoresis
Perform DNase treatment to remove genomic DNA contamination
Data analysis approach:
Proper validation of qPCR methods is essential for reliable results, including standard curves to determine efficiency, melt curve analysis, and no-template controls.
The genomic context of YJL156W-A presents specific challenges for functional analysis due to the compact nature of the S. cerevisiae genome. When investigating this protein, consider:
Adjacent gene effects: The S. cerevisiae genome has relatively small intergenic regions, creating potential for regulatory overlaps. Any manipulation of YJL156W-A might affect adjacent genes, leading to confounding phenotypes .
Transcriptional interference: Insertion of marker genes or expression cassettes may disrupt local chromatin structure or introduce new regulatory elements that affect nearby genes.
Methodological approaches to address these challenges:
Use precise genome editing techniques like CRISPR-Cas9 for minimal disruption
Employ multiple independent knockout/modification strategies
Perform complementation tests with ectopically expressed YJL156W-A
Conduct transcriptional analysis of neighboring genes after YJL156W-A manipulation
Comparative genomics considerations:
Examine conservation and synteny of YJL156W-A across fungal species
Investigate co-evolution patterns with functionally related genes
Understanding the genomic neighborhood of YJL156W-A provides context for interpreting experimental results and may offer clues to its functional relationships.
When faced with contradictory results in YJL156W-A research, implement these systematic troubleshooting approaches:
Validation through methodological triangulation:
Confirm findings using multiple independent techniques
Vary experimental conditions systematically to identify context-dependent effects
Use both gain-of-function and loss-of-function approaches
Strain background considerations:
Verify that the same S. cerevisiae strain background was used across experiments
Repeat key experiments in multiple strain backgrounds
Check for suppressor mutations that might have arisen during strain construction
Environmental and experimental variables:
Standardize growth conditions (media composition, temperature, growth phase)
Control for batch effects in reagents and materials
Document detailed experimental protocols to enable precise replication
Data analysis refinement:
Reanalyze raw data using multiple statistical approaches
Increase sample size to improve statistical power
Consider consulting statistical experts for complex experimental designs
Collaborative verification:
Engage with other laboratories to independently verify key findings
Compare protocols in detail to identify subtle methodological differences
Contradictory results often reveal important biological insights about context-dependency or complex regulatory mechanisms, rather than simply representing experimental errors .
To systematically identify and validate interaction partners of YJL156W-A, implement these methodological approaches:
High-throughput screening methods:
Yeast two-hybrid (Y2H) screening against genomic or cDNA libraries
Affinity purification coupled with mass spectrometry (AP-MS)
Protein microarray analysis with purified YJL156W-A
Validation techniques for identified interactions:
Co-immunoprecipitation experiments
Bimolecular fluorescence complementation (BiFC)
Fluorescence resonance energy transfer (FRET)
Surface plasmon resonance (SPR) for quantitative binding analysis
Functional validation strategies:
Double knockout/knockdown experiments
Synthetic genetic interactions analysis
Co-localization studies using fluorescently tagged proteins
Mutational analysis of interaction domains
Data integration and network analysis:
Connect identified interactions with existing protein interaction networks
Perform Gene Ontology enrichment analysis of interacting proteins
Use algorithms to predict functional relationships based on interaction patterns
Design your validation experiments with appropriate controls, including:
Proteins known not to interact with YJL156W-A (negative controls)
Proteins with partial homology to test specificity
Mutated versions of YJL156W-A to map interaction domains
Complementation studies are essential for validating phenotypes associated with YJL156W-A mutations. Follow these methodological guidelines:
Vector selection and design:
Choose between integrative or episomal vectors based on expression needs
Consider promoter strength (native vs. constitutive vs. inducible)
Include appropriate selectable markers different from those used in the knockout strain
Add epitope tags if needed for detection, but verify they don't interfere with function
Controls for rigorous interpretation:
Empty vector control
Wild-type YJL156W-A expression
Point mutants to identify critical residues
Expression of homologs from related species for evolutionary analysis
Expression verification methods:
RT-qPCR to confirm transcript levels
Western blotting to verify protein expression
Fluorescent tagging to assess localization if relevant
Phenotypic analysis approaches:
Design assays specifically targeting the phenotypes observed in knockout strains
Include quantitative measurements rather than just qualitative observations
Perform time-course experiments to capture dynamic phenotypes
Test multiple environmental conditions to identify context-dependent effects
Successful complementation provides strong evidence for direct causality between YJL156W-A and observed phenotypes, ruling out indirect effects from neighboring genes or spontaneous mutations.