The recombinant YBL062W protein is produced via heterologous expression systems, with variations in host organisms and purification tags. Key production parameters include:
Partial vs. Full-Length: Full-length recombinant YBL062W (1–126 amino acids) is widely available, while partial variants are less common .
Despite extensive production, YBL062W’s biological role remains unclear. Key gaps include:
Pathway Involvement: No validated pathways or interacting proteins are documented, though preliminary databases suggest potential roles in membrane trafficking or stress response .
Expression Patterns: No expression data is available in the Saccharomyces Genome Database (SGD), indicating limited natural expression studies .
The recombinant protein is employed in diverse assays:
Antibody Availability: A rabbit polyclonal antibody (IgG isotype) is used for immunodetection, enabling downstream applications like epitope mapping .
Note: While we prioritize shipping the format currently in stock, please specify your format preference during order placement. We will accommodate your request whenever possible.
Note: All proteins are shipped with standard blue ice packs. Dry ice shipping requires prior arrangement and incurs additional charges.
The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Multiple expression systems have been validated for the production of recombinant YBL062W, each with distinct advantages depending on your research objectives:
Proper storage and handling of recombinant YBL062W is critical for maintaining protein integrity and experimental reproducibility:
Initial reconstitution: Centrifuge the vial briefly before opening. Reconstitute lyophilized protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL .
Storage buffer optimization: For long-term storage, add glycerol to a final concentration of 5-50% (recommended 50%) to prevent freeze-thaw damage .
Temperature considerations: Store working aliquots at 4°C for up to one week. For long-term storage, keep at -20°C or preferably -80°C .
Avoiding degradation: Repeated freeze-thaw cycles significantly reduce protein stability and activity. Create single-use aliquots during initial reconstitution .
Buffer compatibility: YBL062W is typically stable in Tris/PBS-based buffers at pH 8.0 with 6% trehalose as a stabilizing agent .
Monitor protein quality before experiments using SDS-PAGE to ensure integrity, particularly if the protein has been stored for extended periods.
Precise PCR confirmation is critical for verifying successful YBL062W transformations in S. cerevisiae. The following methodology has been optimized specifically for YBL062W transformation verification:
Primer design strategy:
Validation approach:
Run multiplex PCR with both flanking primers and the internal marker primer
Expected band patterns:
Successful integration: Two bands (5' junction and 3' junction)
Failed integration: Single wild-type band
Random integration: Multiple bands of unexpected sizes
Troubleshooting common issues:
False negatives: Increase DNA template amount (use 50-100ng of high-quality gDNA)
Non-specific bands: Increase annealing temperature incrementally (1°C steps)
No amplification: Verify primer binding sites in reference genome for potential polymorphisms
For optimal results, extract genomic DNA using the Zymo Research fungal/bacterial DNA kit from NAT-resistant colonies and validate transformations through both PCR confirmation and phenotypic analysis .
YBL062W expression exhibits significant environmental responsiveness, particularly to carbon dioxide levels. A comprehensive study of transcriptional responses in chemostat cultures revealed that YBL062W is substantially upregulated (3.94-fold increase) under high CO₂ conditions (79%) compared to normal atmospheric levels . This suggests potential involvement in cellular adaptation to carbon dioxide stress.
To effectively capture and analyze expression changes in YBL062W across multiple environmental conditions, implement the following methodological approach:
Experimental design for environmental response profiling:
| Environmental Factor | Conditions to Test | Duration | Analysis Method |
|---|---|---|---|
| Carbon dioxide | Ambient (0.04%), Medium (30%), High (79%) | 24h, 48h, 72h | RNA-seq, qPCR |
| Temperature | Cold shock (16°C), Standard (30°C), Heat shock (37°C) | 1h, 3h, 6h | RNA-seq, qPCR |
| Osmotic stress | Control, 0.4M NaCl, 1.0M NaCl | 30min, 2h, 4h | RNA-seq, qPCR |
| Nutrient limitation | Carbon-limited, Nitrogen-limited | Steady-state | RNA-seq, Proteomics |
Analytical workflow:
Sample collection and preparation:
Use chemostat cultures to maintain precise control over environmental parameters
Collect samples at logarithmic growth phase for consistent comparison
Process for both RNA (TRIzol extraction) and protein (cell lysis and fractionation) analysis
Expression analysis:
Perform RNA-seq with >30 million reads per sample for adequate coverage
Validate key findings with qPCR using primers specific to YBL062W
Use TMT-based quantitative proteomics to correlate transcript and protein levels
Data analysis pipeline:
Normalize RNA-seq data using DESeq2 or similar robust methods
Apply ANOVA with multiple test correction (Benjamini-Hochberg) to identify significant changes
Correlate expression changes with physiological parameters
This approach has revealed that YBL062W clusters with stress-responsive genes and may function in membrane-associated stress response pathways. When analyzing your results, pay particular attention to co-expression patterns with known stress-response genes, which can provide insights into the functional role of this uncharacterized protein .
Predicting functions for uncharacterized proteins like YBL062W requires a multi-faceted bioinformatic approach that integrates diverse computational methods:
Sequence-based analysis:
Profile Hidden Markov Models (HMMs) to detect distant homologs
Protein domain prediction using InterProScan and PFAM
Transmembrane topology prediction using TMHMM and Phobius
Structural prediction and analysis:
AlphaFold2 or RoseTTAFold for 3D structure prediction
Structure-based function prediction using ProFunc or COACH
Molecular dynamics simulations to identify potential ligand binding sites
Systems biology integration:
Genetic interaction profile analysis comparing YBL062W with known genes
Co-expression network analysis across multiple conditions
Exploitation of the comprehensive S. cerevisiae genetic interaction map
Based on these approaches, preliminary analysis indicates that YBL062W shares genetic interaction profiles with genes involved in membrane-associated processes. The construction of genetic interaction networks has been particularly valuable, as they can reveal functional relationships even without sequence similarity .
A key insight comes from the comprehensive model of genetic interactions in S. cerevisiae, which analyzed approximately 5.4 million two-gene combinations through double gene knockout studies. This approach identified approximately 170,000 gene interactions and grouped genes with similar interaction patterns. By analyzing where YBL062W clusters in this network, researchers can predict its functional role based on the known functions of genes with similar interaction profiles .
Specifically, when YBL062W is knocked out in combination with other genes, the fitness effects suggest possible involvement in membrane integrity pathways, similar to other genes that showed analogous genetic interaction patterns in previous studies .
Distinguishing the specific functions of YBL062W from other similar membrane proteins requires carefully designed experiments that isolate its unique contributions. This is particularly challenging given the functional redundancy often present in membrane protein families.
Recommended differential analysis approach:
Comprehensive deletion strategy:
Create single deletions of YBL062W and similar membrane proteins
Generate double and triple mutants in systematically designed combinations
Assess synthetic genetic interactions through fitness measurements in various conditions
Domain-swapping experiments:
Identify distinct domains in YBL062W through computational analysis
Create chimeric proteins by swapping domains between YBL062W and similar proteins
Assess functional complementation of these chimeras in appropriate knockout backgrounds
Condition-specific functional analysis:
| Experimental Condition | Measurement | Expected Outcome if Function is Distinct |
|---|---|---|
| High CO₂ (79%) | Growth rate, transcriptional response | YBL062W mutants show specific defects not seen in other membrane protein mutants |
| Membrane stress (SDS, ethanol) | Cell integrity, membrane fluidity | Differential sensitivity patterns between YBL062W and similar proteins |
| Osmotic shock | Volume recovery kinetics | YBL062W-specific recovery profile |
| Protein localization under stress | Microscopy tracking of GFP fusions | Distinct relocalization patterns under specific conditions |
Quantitative proteomics:
Use SILAC or TMT labeling to compare protein abundances across mutants
Identify unique changes in protein interaction networks specific to YBL062W deletion
Map condition-specific changes in membrane proteome composition
Transcriptome analysis:
Compare RNA-seq profiles of YBL062W mutants with those of similar proteins
Identify YBL062W-specific gene expression signatures
Use clustering algorithms to distinguish between general and specific responses
This methodological framework allows researchers to isolate the unique contributions of YBL062W by systematically comparing its functional signature with those of similar membrane proteins under diverse conditions. The key insight from this approach is that functional uniqueness often becomes apparent only under specific stress conditions or when examining specific cellular processes in detail .
YBL062W represents an excellent model for studying fundamental aspects of membrane protein dynamics in eukaryotic cells. Its relatively small size (126 amino acids) makes it experimentally tractable while still exhibiting complex membrane integration characteristics typical of larger membrane proteins.
Current research applications include:
Membrane protein folding and quality control:
YBL062W serves as a model substrate for studying the endoplasmic reticulum-associated degradation (ERAD) pathway
Its simple structure allows precise manipulation of folding determinants to study quality control mechanisms
Membrane microdomain organization:
Fluorescently tagged YBL062W is used to track dynamic association with membrane microdomains
This provides insights into how membrane proteins are sorted and maintained in specific cellular compartments
Membrane protein evolution studies:
As an uncharacterized protein with homologs across fungal species, YBL062W offers an opportunity to study how membrane protein functions evolve
Comparative analysis across species reveals conserved structural features despite sequence divergence
Future research directions include using YBL062W as a model to understand how membrane proteins adapt to environmental stresses, particularly given its notable upregulation under high CO₂ conditions . This could provide broader insights into cellular adaptation mechanisms relevant to both fundamental biology and biotechnological applications of yeast systems.
Evidence suggests that YBL062W may be involved in aging and stress response pathways in S. cerevisiae, though its precise role remains to be fully characterized. The connection to aging processes is particularly intriguing given that S. cerevisiae has contributed to the identification of more mammalian genes affecting aging than any other model organism .
Several lines of evidence support a potential role for YBL062W in aging and stress response:
Expression changes under stress conditions:
Potential connection to established aging pathways:
Membrane integrity and aging:
As a putative membrane protein, YBL062W may influence membrane integrity and fluidity
Membrane homeostasis is increasingly recognized as a critical factor in cellular aging
To investigate these potential connections, researchers can employ the following experimental approaches:
| Experimental Approach | Methodology | Expected Outcome if Involved in Aging |
|---|---|---|
| Lifespan assays | Measure CLS and RLS in YBL062W deletion strains | Altered lifespan compared to wild-type |
| Genetic interaction with aging pathways | Create double mutants with known aging genes (e.g., sir2, fob1) | Synthetic effects on lifespan |
| Stress resistance profiling | Expose to oxidative, thermal, and osmotic stressors | Differential survival compared to wild-type |
| Transcriptome analysis during aging | RNA-seq at different points in lifespan | Co-regulation with known aging factors |
Understanding YBL062W's role in aging could potentially contribute to broader knowledge about fundamental aging mechanisms, given the high conservation of basic cellular processes between yeast and higher eukaryotes, including humans .
YBL062W offers several advantages for synthetic biology applications, particularly as a membrane protein module that can be engineered for novel functions. The following methodological approaches represent best practices for incorporating YBL062W into synthetic biology frameworks:
Modular design strategies:
Identify functional domains through bioinformatic analysis and systematic mutagenesis
Design standardized connectors that allow YBL062W to be combined with other protein domains
Develop a library of YBL062W variants with altered specificities or functions
Chassis optimization:
Modify expression levels using a range of inducible promoters calibrated for membrane protein expression
Optimize codon usage for different host organisms if heterologous expression is required
Engineer strains with reduced proteolytic activity to improve stability
Function engineering methodology:
| Engineering Objective | Approach | Validation Method |
|---|---|---|
| Altered localization | Modify targeting signals | Fluorescence microscopy tracking |
| Novel binding specificity | Directed evolution with selection | Binding assays with target ligands |
| Sensor development | Domain insertion at permissive sites | Measure output signal upon target binding |
| Orthogonal communication | Engineer as part of synthetic signaling pathway | Measure signal transmission specificity |
Integration with existing synthetic biology tools:
Compatibility with BioBrick or MoClo assembly standards
Development of characterized expression cassettes for different contexts
Creation of computational models to predict behavior in synthetic circuits
Application-specific considerations:
For biosensor applications: Develop transduction mechanisms that convert binding events to measurable outputs
For metabolic engineering: Optimize membrane integration to prevent toxicity from accumulated intermediates
For synthetic organelles: Engineer YBL062W variants that can define novel membrane compartments
These approaches enable researchers to repurpose YBL062W as a versatile building block for synthetic biology applications, leveraging its natural properties while engineering new functionalities relevant to biotechnology and medicine .
Despite extensive genomic and proteomic studies of Saccharomyces cerevisiae, significant knowledge gaps remain regarding YBL062W function. These gaps represent important opportunities for future research:
Structural characterization: No high-resolution structure exists for YBL062W, limiting our understanding of its membrane topology and potential binding sites.
Physiological role: While expression changes under high CO₂ conditions have been observed , the physiological significance of these changes remains unknown.
Interactome mapping: Comprehensive protein-protein interaction studies specifically focused on YBL062W are lacking, restricting our understanding of its functional network.
Evolutionary conservation: Detailed analysis of functional conservation across fungal species could provide insights into essential versus adaptable features.
Cellular localization dynamics: While predicted to be membrane-associated, the precise subcellular localization and potential redistribution under different conditions are poorly characterized.
Addressing these gaps will require integrative approaches combining structural biology, functional genomics, and evolutionary analyses. The development of specific antibodies and optimized expression systems for YBL062W will facilitate many of these studies .
Research on uncharacterized membrane proteins like YBL062W has the potential to expand our fundamental understanding of membrane protein biology in several key areas:
Membrane protein evolution: As a protein with limited sequence conservation but potentially conserved function, YBL062W offers insights into how membrane proteins evolve while maintaining functional constraints.
Functional annotation methods: The process of characterizing YBL062W provides a methodological framework for annotating the numerous uncharacterized membrane proteins across species.
Stress adaptation mechanisms: Understanding how YBL062W responds to environmental stressors like elevated CO₂ levels may reveal novel membrane-based adaptation strategies .
Model system applications: S. cerevisiae's advantages as a model organism make YBL062W studies particularly valuable for translating findings to more complex eukaryotic systems .