YDL196W is encoded by the YDL196W gene in S. cerevisiae and is classified as a putative uncharacterized protein. Key attributes include:
The protein is expressed recombinantly in E. coli systems for research use, with purification via antigen-affinity chromatography .
| Parameter | Specification | Source |
|---|---|---|
| Host System | E. coli | |
| Purity | ≥90% (Antigen-affinity purified) | |
| Formulation | Liquid (50% glycerol, 0.01M PBS, pH7.4) | |
| Storage | -20°C or -80°C; avoid repeated freeze |
YDL196W is primarily used in immunological and molecular studies:
Antibody Production: Rabbit polyclonal antibodies against YDL196W are available for ELISA and Western Blot applications .
Functional Studies: Located in the promoter region of SEC31, an essential gene involved in vesicle-mediated transport . This suggests a potential regulatory role, though experimental validation is pending.
Tolerance Studies: While YDL196W itself is not directly linked to vaccine development, recombinant S. cerevisiae platforms (e.g., yeast-CEA) demonstrate antigen cross-presentation mechanisms that could inform future studies on uncharacterized proteins .
Biotechnological Potential: Engineered S. cerevisiae strains are used in bioethanol production and immunotherapy , but YDL196W’s role in these contexts remains unexplored.
STRING: 4932.YDL196W
YDL196W is an open reading frame in the Saccharomyces cerevisiae genome encoding a protein whose function has not been fully elucidated through traditional biochemical or genetic characterization methods. The protein is classified as "putative uncharacterized" because while its sequence is known and it has been identified as a potential protein-coding gene, its precise biological function, structure, and role in cellular processes remain largely unknown . Notably, YDL196W exhibits highly variable expression in wild-type strains, as documented by Kemmeren et al. (2014), suggesting potential regulatory complexity or environmental responsiveness .
YDL196W demonstrates highly variable expression levels across wild-type Saccharomyces cerevisiae strains, as reported by Kemmeren et al. (2014) . This variability suggests that YDL196W may be subject to complex regulatory mechanisms that respond to subtle differences in genetic background, environmental conditions, or metabolic states. Researchers investigating this protein should account for this inherent expression variability when designing experiments by including appropriate biological replicates and controls. Examination of expression data across different growth conditions and genetic backgrounds can provide insights into potential regulatory mechanisms and functional contexts.
Deletion of YDL196W in Saccharomyces cerevisiae BY4742 (creating a YDL196W-delta strain) results in abolished vegetative cell population viability when grown in YPD medium, as documented in phenotype annotation OMP_AN:25566 . This suggests that despite being uncharacterized, YDL196W plays an essential role in maintaining cell viability under standard laboratory growth conditions. The specific molecular mechanisms by which YDL196W contributes to cell viability remain to be elucidated, but this phenotypic outcome provides strong evidence for its biological significance and creates a foundation for further functional characterization studies.
Characterizing the molecular function of YDL196W requires a multi-faceted approach combining genetic, biochemical, and computational methods:
Comparative Genomics Analysis: Identify potential homologs across species to infer possible functions based on evolutionary conservation patterns.
Protein-Protein Interaction Studies: Employ techniques such as yeast two-hybrid, co-immunoprecipitation followed by mass spectrometry, or proximity labeling approaches to identify interaction partners that may suggest functional pathways.
Transcriptomic Analysis: Analyze gene expression changes in YDL196W deletion or overexpression strains under various conditions to identify co-regulated genes and potential functional relationships.
Subcellular Localization: Determine the cellular compartment where YDL196W functions using fluorescent protein tagging or immunolocalization techniques.
Domain Analysis and Structural Prediction: Identify potential functional domains through computational analysis and validate through targeted mutagenesis.
For recombinant expression, researchers have multiple options including E. coli, yeast, mammalian, and insect cell systems, with various fusion tags available to facilitate purification and functional studies .
Given the evidence suggesting YDL196W's importance for cell viability and its variable expression in wild-type strains , investigating its potential role in stress response pathways requires systematic experimental designs:
Stress-Specific Expression Profiling: Measure YDL196W expression levels under various stress conditions (oxidative, heat, osmotic, nutrient limitation) using RT-qPCR or RNA-seq approaches.
Synthetic Genetic Array Analysis: Screen for genetic interactions between YDL196W and known stress response genes to map potential pathway connections.
Promoter Analysis: Examine YDL196W promoter architecture for stress-responsive elements similar to those found in engineered stress-responsive yeast promoters .
Conditional Depletion Studies: Employ an anchor-away or degron system to rapidly deplete YDL196W protein levels and observe immediate cellular responses under different stress conditions.
Metabolomic Analysis: Compare metabolite profiles between wild-type and YDL196W mutant strains under stress conditions to identify affected metabolic pathways.
These approaches would help determine whether YDL196W functions directly in stress response pathways or if its role in maintaining cell viability is independent of specific stress responses.
Current research indicates that YDL196W has highly variable expression in wild-type strains , suggesting complex transcriptional regulation. While specific transcription factors controlling YDL196W expression are not directly mentioned in the available search results, several approaches can help elucidate its regulation:
Promoter Sequence Analysis: Examining the YDL196W promoter for known transcription factor binding sites can provide insights into potential regulatory mechanisms.
ChIP-seq Studies: Identifying transcription factors that bind to the YDL196W promoter region under different conditions.
TFIID Dependency Analysis: Since research has identified distinct mechanisms that distinguish TFIID housekeeping from regulatable promoters , determining whether YDL196W depends on canonical TFIID or alternative transcription initiation complexes could provide insights into its regulatory category.
Time-Course Expression Analysis: Monitoring YDL196W expression during cell cycle progression or in response to environmental changes.
Understanding YDL196W's transcriptional regulation could help explain its variable expression patterns and provide clues to its biological function and importance in specific cellular contexts.
Multiple expression systems are available for producing recombinant YDL196W protein, each with distinct advantages depending on research objectives:
| Expression System | Advantages | Considerations | Typical Yield |
|---|---|---|---|
| E. coli | - Rapid growth - Simple culture conditions - High protein yields - Cost-effective | - May lack proper eukaryotic post-translational modifications - Potential folding issues for eukaryotic proteins | 10-100 mg/L culture |
| Yeast (S. cerevisiae, P. pastoris) | - Native environment for YDL196W - Proper eukaryotic folding - Post-translational modifications | - Lower yields than E. coli - Longer expression time | 5-50 mg/L culture |
| Insect cells | - Advanced eukaryotic folding machinery - Complex post-translational modifications | - Higher cost - Technical complexity - Longer production timeline | 1-10 mg/L culture |
| Mammalian cells | - Most sophisticated folding and modification systems | - Highest cost - Most technically demanding - Longest production timeline | 0.5-5 mg/L culture |
The choice should be guided by research objectives. For structural studies requiring large amounts of protein, E. coli may be preferred if the protein folds correctly. For functional studies where post-translational modifications may be critical, yeast or higher eukaryotic systems would be more appropriate . Available fusion tag options include His, FLAG, MBP, GST, trxA, Nus, Biotin, and GFP tags, which can be positioned at either the N or C terminus to facilitate purification and detection .
Effective purification of YDL196W depends on the expression system and fusion tags employed. A comprehensive purification strategy might include:
Affinity Chromatography: The primary purification step leveraging fusion tags:
His-tagged proteins: Ni-NTA or IMAC chromatography
GST-tagged proteins: Glutathione sepharose
MBP-tagged proteins: Amylose resin
Secondary Purification:
Ion exchange chromatography based on YDL196W's predicted isoelectric point
Size exclusion chromatography to remove aggregates and achieve higher purity
Quality Assessment Methods:
SDS-PAGE with Coomassie or silver staining to assess purity and integrity
Western blotting to confirm identity
Dynamic light scattering to evaluate homogeneity and detect aggregation
Circular dichroism spectroscopy to assess secondary structure
Thermal shift assay to evaluate stability
Functional Assessment:
Activity assays based on predicted or known functions
Binding assays with potential interaction partners
For optimal results, protein reprocessing options including renaturation, endotoxin removal, filtration sterilization, and lyophilization are available . The purification strategy should be optimized based on the specific downstream applications, whether structural studies, functional assays, or antibody production.
Identifying interaction partners is critical for understanding YDL196W's functional context. Several complementary approaches can be employed:
Affinity Purification-Mass Spectrometry (AP-MS):
Express tagged YDL196W in yeast cells
Perform affinity purification under native conditions
Identify co-purifying proteins by mass spectrometry
Validate interactions with reciprocal pull-downs or co-immunoprecipitation
Yeast Two-Hybrid Screening:
Use YDL196W as bait against a yeast genomic library
Screen for positive interactions based on reporter gene activation
Confirm interactions with secondary assays
Proximity-Based Labeling:
Create fusion proteins with BioID or APEX2 enzymes
Allow in vivo labeling of proximal proteins
Purify biotinylated proteins and identify by mass spectrometry
Genetic Interaction Mapping:
Perform synthetic genetic array analysis with YDL196W deletion
Identify genes with synthetic lethal or synthetic sick interactions
These often indicate parallel pathways or complex membership
Co-expression Network Analysis:
Analyze transcriptomic datasets to identify genes co-expressed with YDL196W
These may represent functionally related proteins
The choice of method depends on research objectives and available resources, with AP-MS and yeast two-hybrid being the most established approaches for initial interaction discovery.
Given the observation that YDL196W deletion affects cell viability , understanding its impact on transcription patterns could provide insights into its cellular function. Effective strategies include:
RNA-seq Analysis:
Compare transcriptomes of wild-type and YDL196W conditional mutants
Use temperature-sensitive alleles or regulated promoters to bypass viability issues
Perform time-course experiments during YDL196W depletion
Analyze under various stress conditions to identify condition-specific effects
Nascent Transcription Analysis:
Employ metabolic labeling techniques (4sU-seq, NET-seq)
Distinguish direct transcriptional effects from secondary consequences
ChIP-seq Analysis:
If YDL196W potentially affects chromatin or transcription, perform ChIP-seq
Map genome-wide binding patterns of YDL196W
Correlate binding with transcriptional changes
Promoter-Reporter Assays:
Test effects on specific promoters using reporter genes
Focus on promoters showing significant expression changes in genome-wide studies
A combination of these approaches would provide complementary data on how YDL196W influences transcription, potentially revealing its role in specific biological processes.
The analysis of YDL196W mutations versus complete deletion requires careful experimental design to avoid misinterpretation:
Mutation Strategy Selection:
Point mutations in predicted functional domains
Truncation mutations at different positions
Domain swaps to test functional conservation
Expression Level Considerations:
Ensure mutant proteins are expressed at levels comparable to wild-type
Use Western blotting to confirm expression and stability
Consider using endogenous promoter rather than overexpression
Strain Background Effects:
The phenotypic impact may vary across strain backgrounds
Test mutations in multiple strain backgrounds
Include proper isogenic controls
Conditional Alleles:
For essential functions, use temperature-sensitive or auxin-inducible degron alleles
Allow controlled depletion to study immediate effects
Complementation Testing:
Verify that wild-type YDL196W complements deletion phenotypes
Test whether mutants complement deletion to varying degrees
Phenotypic Assay Selection:
Use quantitative assays beyond simple growth/no growth
Measure growth rates, metabolic activities, stress responses
Consider microscopy for morphological phenotypes
Distinguishing Hypomorphic vs. Neomorphic Effects:
Determine whether mutations cause loss of function or gain of novel functions
Compare heterozygous diploids to identify dominant negative effects
These considerations will help researchers distinguish between complete loss-of-function effects and partial or altered function effects, providing more nuanced insights into YDL196W's biological roles.
Determining the structure of YDL196W requires selecting appropriate methods based on the protein's properties and research objectives:
| Method | Advantages | Limitations | Required Sample Amount | Resolution |
|---|---|---|---|---|
| X-ray Crystallography | - Highest resolution - Complete structural details - Can resolve bound cofactors | - Requires protein crystals - Challenging for flexible proteins | 5-10 mg of pure protein | 1-3 Å |
| Cryo-electron Microscopy | - No crystallization needed - Works with larger complexes - Can capture multiple conformations | - Lower resolution for small proteins - Expensive equipment | 0.1-1 mg of pure protein | 2-4 Å |
| NMR Spectroscopy | - Solution state structure - Dynamic information - Interaction mapping | - Size limitation (~30-40 kDa) - Requires isotope labeling | 5-20 mg of labeled protein | 2-5 Å |
| Small-angle X-ray Scattering | - Low sample requirements - Works in solution - No size limitations | - Low resolution - Shape information only | 0.1-1 mg of pure protein | 10-30 Å |
Based on the expected molecular weight and properties of YDL196W, a combination of methods might provide the most comprehensive structural insights. Initial bioinformatic analysis for domain prediction and disorder estimation should guide method selection. If molecular weight permits, NMR would provide valuable dynamic information, while X-ray crystallography would offer the highest resolution structural details if crystals can be obtained.
Comprehensive analysis of YDL196W post-translational modifications (PTMs) requires multiple complementary approaches:
Mass Spectrometry-Based Identification:
Bottom-up proteomics with enrichment strategies for specific PTM types:
Phosphorylation: TiO₂ or IMAC enrichment
Glycosylation: Lectin affinity or hydrazide chemistry
Ubiquitination: Antibody-based enrichment of diGly remnants
Top-down proteomics for intact protein analysis to preserve modification stoichiometry
Targeted approaches using parallel reaction monitoring for quantification
Site-Specific Mutation Analysis:
Mutate predicted modification sites to non-modifiable residues
Assess functional consequences in vivo
Compare phenotypes to YDL196W deletion
Modification-Specific Detection Methods:
Western blotting with modification-specific antibodies (phospho, acetyl, etc.)
ProQ Diamond staining for phosphorylations
Glycan-specific staining methods
Dynamic Analysis:
Monitor modification changes under different conditions
Time-course analysis during cell cycle or stress responses
Correlation with functional changes
Structural Integration:
Map identified PTMs onto structural models
Assess potential impact on protein function
Molecular dynamics simulations to predict effects on protein dynamics
This multi-faceted approach would provide a comprehensive view of YDL196W's modification landscape and how it contributes to protein function and regulation.
Based on current knowledge about YDL196W, several promising research directions emerge:
Systems Biology Integration:
Combine proteomics, transcriptomics, and metabolomics data to place YDL196W in broader cellular networks
Use multi-omics approaches to identify condition-specific roles
Evolutionary Function Prediction:
Perform deep phylogenetic analysis across fungal species
Identify conserved domains and sequences that might indicate function
Study homologs in related species where function might be better characterized
Synthetic Biology Applications:
Explore the potential of YDL196W's highly variable expression for designing synthetic regulatory circuits
Investigate applications of engineered YDL196W variants in biotechnology
Structure-Guided Drug Discovery:
If YDL196W proves essential for fungal viability, explore it as an antifungal target
Use structural information to design inhibitors
Technological Development:
Apply emerging technologies like CRISPR interference or CRISPR activation for fine-tuned manipulation of YDL196W expression
Develop better tools for studying essential genes in yeast
These directions would build upon existing knowledge of YDL196W's importance for cell viability and its variable expression patterns , potentially revealing novel biological mechanisms and applications.
When faced with contradictory results in YDL196W research, systematic approaches can help resolve discrepancies:
Strain Background Differences:
Experimental Condition Standardization:
Establish standard growth conditions and protocols
Document detailed experimental parameters for reproducibility
Test how slight variations in conditions affect outcomes
Genetic Compensation Mechanisms:
Investigate potential suppressor mutations that may arise in YDL196W mutants
Use acute depletion methods rather than sustained gene deletion to minimize adaptation
Technical Approach Comparison:
Directly compare different methodologies in parallel experiments
Assess whether discrepancies arise from technical limitations
Functional Redundancy Analysis:
Identify potential paralogs or functionally redundant proteins
Test double or triple mutants to overcome redundancy
Analyze condition-specific roles that might explain contradictory results
Community Resources Development:
Establish a centralized database of YDL196W findings
Promote pre-registration of experiments and sharing of negative results
By systematically addressing sources of variation and contradiction, researchers can develop a more coherent understanding of YDL196W's function and establish a foundation for future studies.