The YOL050C gene encodes a protein of unknown function in Saccharomyces cerevisiae, a model organism widely used in genetics and cellular biology. The YOL050C Antibody is produced by CUSABIO, a biotech company specializing in recombinant proteins and validated antibodies . It is part of a catalog of over 60,000 antibodies targeting proteins across multiple species, including yeast .
| Product Details | Value |
|---|---|
| Product Name | YOL050C Antibody |
| Code | CSB-PA600471XA01SVG |
| Uniprot No. | Q08222 |
| Species | Saccharomyces cerevisiae |
| Size | 2ml/0.1ml |
Antibody Structure:
Antibodies are Y-shaped glycoproteins composed of two heavy chains and two light chains, connected by disulfide bonds. The variable regions (Fab) bind antigens, while the constant region (Fc) interacts with immune effector molecules . The YOL050C Antibody is engineered to specifically recognize the YOL050C protein, leveraging its Fab region to target epitopes unique to this protein .
Function:
The antibody facilitates detection and quantification of YOL050C via techniques like ELISA, Western blot, and immunoprecipitation. Its specificity is critical for studying yeast protein dynamics in processes such as vacuolar fusion or stress responses .
Western Blot: Detects protein expression under different growth conditions .
Immunoprecipitation: Purifies YOL050C for interaction studies .
Research Context:
YOL050C’s role remains uncharacterized, but its antibody enables hypothesis-driven investigations. For example, studies on yeast vacuole fusion (e.g., Ypt7p) demonstrate how antibodies like YOL050C can elucidate protein function in organelle dynamics .
Characterization:
CUSABIO employs rigorous validation protocols, including Western blot and immunoprecipitation, to ensure specificity and cross-reactivity testing . The YCharOS initiative highlights the importance of such validation, as 50–70% of commercial antibodies fail in independent assays .
Relevance to Yeast Biology:
While no direct studies on YOL050C exist, antibodies targeting homologous proteins (e.g., Ypt7p) reveal their utility in dissecting yeast cellular pathways . YOL050C’s antibody could similarly advance studies on yeast stress responses or protein degradation .
YOL050C is a yeast gene that encodes a protein associated with vacuolar function. Its significance lies in its role in maintaining proper vacuolar morphology, with deletion mutants exhibiting a distinct vacuolar phenotype characterized as "70%B" in morphological classification systems . The gene product contributes to normal vacuolar function and its study provides insights into fundamental cellular processes including protein trafficking and organelle biogenesis in eukaryotic cells. Understanding YOL050C function is particularly valuable for comparative studies of vesicular transport across different model organisms.
YOL050C deletion results in a predominantly class B vacuolar morphology phenotype (70%B) as documented in genomic analyses of vacuolar fusion . Class B morphology typically indicates fragmented or clustered vacuoles rather than the normal, spherical vacuoles seen in wild-type cells. Additionally, YOL050C mutants display positive CPY (carboxypeptidase Y) secretion , indicating defects in vacuolar protein sorting pathways. These phenotypic characteristics suggest YOL050C plays a role in maintaining proper vacuolar structure and function, particularly in membrane fusion processes essential for vacuolar homeostasis.
When designing primary antibodies against YOL050C protein, researchers should first analyze the protein sequence for optimal epitope selection. Similar to approaches used for other yeast vacuolar proteins, researchers can generate antibodies by:
Synthesizing peptides from unique regions of YOL050C (similar to the YPT7 peptide approach where TEAFEDDYNDAINIR was synthesized and conjugated to KLH for immunization)
Expressing recombinant YOL050C protein fragments in bacterial systems
Purifying the antibodies from immunized rabbit sera using protein A-Sepharose adsorption
For optimal results, select protein regions with high antigenicity, good surface accessibility, and minimal sequence homology with other yeast proteins to ensure specificity. Hydrophilic sequences of 15-20 amino acids often make optimal antigens for generating targeted antibodies.
Comprehensive validation of YOL050C antibodies should employ multiple complementary approaches:
Western blot analysis: Compare wild-type and YOL050C deletion strains to confirm specificity
Immunoprecipitation: Verify ability to pull-down native YOL050C protein
Immunofluorescence microscopy: Confirm expected vacuolar localization pattern
Cross-reactivity testing: Assess reactivity against related proteins
Functional inhibition assays: Similar to the approach used with Ypt7p antibodies in vacuole fusion studies
Antibody concentration should be optimized for each application, with initial testing at concentrations similar to other vacuolar protein antibodies (30-150 μg/ml range) . Documenting batch-to-batch variability is essential for reproducibility in long-term research programs.
For optimizing immunoprecipitation (IP) of YOL050C and its interaction partners:
Cell lysis conditions: Use buffers that preserve native protein interactions while efficiently releasing vacuolar proteins (typically containing 1% non-ionic detergent)
Antibody coupling: Covalently couple purified anti-YOL050C antibodies to protein A/G beads to prevent antibody co-elution
Pre-clearing step: Remove non-specific binding proteins by pre-incubating lysates with uncoated beads
Incubation parameters: Optimize time (2-16 hours) and temperature (4°C is standard) for maximum capture efficiency
Washing stringency: Balance between removing non-specific interactions and preserving specific complexes
Elution strategy: Compare gentle elution (pH shift) versus denaturing conditions based on downstream applications
For characterizing novel interaction partners, consider implementing techniques similar to those used in identifying Ypt7p binding partners in vacuolar fusion pathways .
When designing functional inhibition studies with YOL050C antibodies, these controls are critical:
Isotype control antibodies: Use matched concentration of irrelevant antibodies from the same species
Peptide competition: Pre-incubate antibody with excess immunizing peptide to confirm specificity
Genetic controls: Include YOL050C deletion strains to confirm antibody specificity
Dose-response analysis: Test multiple antibody concentrations to establish inhibition curves
Timing controls: Apply antibody at different stages of the assay to order its action in the pathway (similar to the approach with Ypt7p antibodies)
Functional rescue: Attempt to rescue inhibition by adding excess recombinant protein
These controls help distinguish between specific inhibition of YOL050C function versus non-specific effects of antibody addition in experimental systems.
YOL050C antibodies can be strategically employed in membrane fusion assays similar to those established for other vacuolar proteins:
Order-of-action determination: Add antibodies at specific stages of in vitro fusion reactions to identify when YOL050C functions, similar to the approach used with Ypt7p antibodies
Component recruitment assessment: Determine if YOL050C antibodies block recruitment of downstream fusion factors
Fusion intermediate capture: Use antibodies to stabilize specific intermediates in the fusion reaction
Reconstitution experiments: Determine if adding excess recombinant YOL050C overcomes antibody inhibition
For quantitative analysis, researchers should establish dose-response curves for antibody inhibition and compare effects of YOL050C antibodies with those against known fusion factors such as Sec17p and Vam3p .
When facing contradictory results from different YOL050C antibody preparations:
Epitope mapping: Determine if antibodies recognize different domains of the protein that may have distinct functional roles
Affinity and specificity assessment: Quantitatively compare antibody preparations using surface plasmon resonance or similar techniques
Post-translational modification sensitivity: Test if antibodies differentially recognize modified forms of YOL050C
Functional domain targeting: Generate domain-specific antibodies to isolate functions of distinct protein regions
Complementary approaches: Validate findings using alternative methods (genetic, biochemical) that don't rely on antibodies
Cross-validation with genetic approaches, such as using the deletion strain included in vacuolar phenotype screens , can help resolve discrepancies between antibody-based studies.
The advanced membrane-bound dual Ig expression screening system can be adapted for generating YOL050C-specific antibodies by:
Antigen preparation: Express and purify YOL050C protein or peptide fragments as screening antigens
B-cell source selection: Immunize mice with YOL050C antigen and isolate CD43-negative B cells using AutoMACS
Library construction:
Screening strategy:
This approach offers significant advantages over conventional antibody development methods by linking genotype to phenotype, reducing plasmid preparation time, and enabling direct affinity assessment through fluorescence intensity .
For rigorous analysis of YOL050C antibody specificity:
Multi-strain validation: Test antibody against wild-type, YOL050C deletion, and strains with point mutations
Quantitative western blotting: Use dilution series with known protein standards for quantitative comparison
Signal-to-noise ratio calculation: Determine specific signal versus background across different strains
Cross-reactivity profiling: Test against related proteins, particularly other genes involved in vacuolar function
Statistical analysis:
Apply ANOVA for multi-strain comparisons
Use Bland-Altman plots to assess agreement between different detection methods
Implement receiver operating characteristic (ROC) curves to determine optimal antibody concentration thresholds
For consistency with established research protocols, consider validating against the 27 genes identified in vacuolar phenotype screens, including those with similar phenotypes to YOL050C .
YOL050C belongs to a group of genes with class B vacuolar morphology phenotypes. Comparative analysis reveals:
| Gene | Vacuolar Phenotype | CPY Secretion | Potential Functional Relationship |
|---|---|---|---|
| YOL050c | 70%B | + | Primary focus gene |
| YLR320w | 50%B | + | Potential functional overlap |
| YNL281w | 70%B | + | Similar phenotypic profile |
| YOR068c | 90%B | +++ | More severe phenotype, possible upstream factor |
| YOL035c | 60%B | + | Similar phenotypic profile |
| YOL063c | 50%B | + | Partial phenotypic overlap |
This comparative analysis suggests YOL050C functions in a pathway with these genes, particularly those with identical phenotypic signatures (70%B, +) . Antibodies against YOL050C can be used in epistasis experiments with these related genes to establish functional hierarchies in vacuolar biogenesis pathways.
When interpreting co-localization data with YOL050C antibodies:
Resolution limitations: Consider the diffraction limit of light microscopy (~200-250 nm) versus actual protein proximity requirements for functional interaction
Fixation artifacts: Compare different fixation methods to confirm localization patterns
Antibody accessibility: Evaluate if membrane structures restrict epitope access
Quantitative analysis: Use correlation coefficients (Pearson's, Manders') rather than visual assessment alone
Dynamic interactions: Consider time-resolved imaging to capture transient interactions
3D reconstruction: Analyze complete z-stacks rather than single optical sections
Controls: Include non-interacting proteins known to occupy similar cellular compartments
For the most reliable results, complement antibody-based localization with genetic approaches, such as fluorescent protein tagging of YOL050C, while confirming functionality of the tagged protein through phenotypic rescue experiments.
When facing specificity challenges with YOL050C antibodies:
Affinity purification: Use recombinant YOL050C protein coupled to a matrix for antibody purification
Pre-adsorption: Remove cross-reactive antibodies by pre-incubation with lysates from YOL050C deletion strains
Epitope refinement: Generate new antibodies against more unique regions of YOL050C
Monoclonal development: Consider developing monoclonal antibodies using the membrane-bound dual Ig expression system
Validation in knockout backgrounds: Always validate results in YOL050C deletion strains
Cross-linking strategies: Use chemical cross-linking to stabilize specific interactions prior to immunoprecipitation
Alternative detection systems: Consider epitope tagging approaches when antibody specificity cannot be improved
The membrane-bound dual Ig expression system offers particular promise for generating highly specific antibodies through its enhanced screening capabilities and direct affinity assessment .
For effective integration of antibody-based and genetic approaches:
Complementary validation: Confirm antibody results with genetic manipulations of YOL050C
Functional rescue experiments: Test if phenotypes detected by antibodies can be rescued by expression of wild-type YOL050C
Structure-function analysis: Combine domain-specific antibodies with truncation or point mutation analyses
Conditional depletion comparison: Compare acute antibody inhibition with inducible genetic depletion systems
Suppressor screens: Use antibody inhibition phenotypes as the basis for genetic suppressor screens
Synthetic genetic interactions: Test antibody effects in strains with mutations in functionally related genes
Future directions for YOL050C antibody research include:
High-throughput antibody generation: Implementing membrane-bound dual Ig expression screening to rapidly generate diverse antibodies against different YOL050C domains
Single-domain antibodies: Developing nanobodies or single-domain antibodies for improved access to conformational epitopes
Spatiotemporal dynamics: Creating antibody-based biosensors to track YOL050C activity in real-time
Therapeutic applications: Exploring potential translational applications in models where homologs of YOL050C are implicated in disease
Integrated multi-omics: Combining antibody-based proteomics with transcriptomics and metabolomics for systems-level understanding
Automated screening: As suggested by research on antibody development, robotic automation of experiments will enable rapid isolation of useful antibodies against YOL050C and related proteins