YIL165C is a gene in Saccharomyces cerevisiae (strain ATCC 204508/S288c, baker's yeast) that has been identified in genomic sequencing projects. The gene is located on chromosome IX and its product is associated with UniProt accession number P40446. While specific functions are still being elucidated, the gene has appeared in multiple screening studies, including those examining acid resistance in yeast. Understanding YIL165C's function contributes to our broader knowledge of yeast biology, stress responses, and potentially conserved cellular mechanisms across eukaryotes. YIL165C was identified as part of a contig containing PEP3, which has been shown to influence acid resistance in yeast . When studying yeast genomics or stress response, detecting the presence and expression level of YIL165C can provide valuable insights into these biological processes.
Currently, polyclonal antibodies against YIL165C are the predominant type available for research applications. Specifically, rabbit polyclonal antibodies are commercially available, such as those from suppliers with product codes like CSB-PA328115XA01SVG . These antibodies are typically provided in solution form in volumes of 2ml or 0.1ml. Polyclonal antibodies offer advantages for detecting native proteins as they recognize multiple epitopes on the target antigen, potentially providing stronger signals in various applications. Monoclonal antibodies against YIL165C are less common but may be available through custom antibody services. When selecting an antibody, researchers should consider their specific application requirements, including detection sensitivity needs and experimental conditions.
When performing western blotting with YIL165C antibody, follow these methodological guidelines for optimal results:
Sample preparation: Extract yeast proteins using standard techniques such as glass bead lysis in buffer containing protease inhibitors. Determine protein concentration using Bradford method or similar.
SDS-PAGE separation: Load approximately 15-20 μg of protein per sample on an SDS-PAGE gel (10-12% acrylamide concentration works well for most yeast proteins).
Transfer conditions: Use semi-dry transfer to nitrocellulose membrane at 15V for 30-45 minutes, or wet transfer at 100V for 1 hour in standard transfer buffer.
Blocking: Block the membrane with 5% non-fat dry milk in TBST (TBS with 0.1% Tween-20) for 1 hour at room temperature.
Primary antibody incubation: Dilute YIL165C antibody 1:1000 to 1:2000 in blocking solution and incubate overnight at 4°C with gentle agitation.
Washing and secondary antibody: Wash membrane 3 times with TBST, then incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000 dilution) for 1 hour at room temperature.
Detection: Visualize using enhanced chemiluminescence and imaging systems such as the ChemiDoc MP imaging system used in similar yeast protein studies .
Controls: Include a loading control such as GAPDH antibody to normalize protein loading, similar to the approach used in V-ATPase studies .
This protocol can be adapted based on your specific experimental conditions and the properties of your samples.
Optimizing immunofluorescence with YIL165C antibody requires careful attention to fixation and permeabilization steps, which are particularly crucial for yeast cells due to their cell wall:
Cell preparation:
Grow yeast to mid-log phase (OD600 of 0.5-0.8)
Fix cells with 3.7% formaldehyde for 30 minutes at room temperature
Wash cells three times with phosphate buffer (PBS)
Spheroplast formation:
Treat cells with zymolyase (100T at 0.5 mg/ml) in sorbitol buffer for 20-30 minutes at 30°C
Monitor spheroplast formation microscopically
Wash gently with sorbitol buffer
Permeabilization:
Permeabilize with 0.1% Triton X-100 for 5 minutes
Wash three times with PBS containing 0.1% BSA
Antibody incubation:
Block with 1% BSA in PBS for 30 minutes
Incubate with YIL165C antibody at 1:100 to 1:500 dilution overnight at 4°C
Wash 3 times with PBS/BSA
Incubate with fluorophore-conjugated secondary antibody (1:500) for 1 hour at room temperature in the dark
Visualization:
Mount slides with anti-fade mounting medium containing DAPI for nuclear counterstaining
Image using confocal or fluorescence microscopy
Critical optimization parameters include antibody concentration, fixation time, and spheroplast formation efficiency. Test a range of antibody dilutions (1:50 to 1:500) to determine optimal signal-to-noise ratio for your specific experimental system.
YIL165C antibody can be employed as a molecular tool in screening experiments for acetic acid-resistant yeast mutants, particularly in studies investigating stress response mechanisms. The methodological approach involves:
Experimental design:
Molecular validation using YIL165C antibody:
Extract proteins from resistant clones
Perform western blotting using YIL165C antibody to assess protein expression levels
Compare expression patterns between resistant and sensitive strains
Correlation analysis:
Functional validation:
This methodological approach leverages YIL165C antibody as a tool for molecular characterization within a broader screening strategy for acid-resistant phenotypes in yeast.
When designing co-immunoprecipitation (Co-IP) experiments with YIL165C antibody to identify protein interaction partners, researchers should consider these critical methodological factors:
Lysis buffer optimization:
Use a gentle lysis buffer to preserve protein-protein interactions (e.g., 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% NP-40, 0.5% sodium deoxycholate)
Include protease inhibitors (complete protease inhibitor cocktail)
Consider phosphatase inhibitors if phosphorylation states are important
Test different detergent concentrations (0.1-1% range) to balance solubilization and preservation of interactions
Antibody coupling strategies:
Direct coupling: Covalently link YIL165C antibody to protein A/G beads using crosslinkers
Indirect capture: Use protein A/G beads to capture the antibody-antigen complex
Pre-clearing lysates with control beads reduces non-specific binding
Controls and validation:
Include negative controls (non-specific IgG of same species)
Use lysates from YIL165C deletion strains as specificity controls
Perform reciprocal Co-IPs using antibodies against suspected interaction partners
Validate interactions with orthogonal methods (yeast two-hybrid, proximity labeling)
Elution and analysis strategies:
Gentle elution with peptide competition if available
SDS elution for stronger detection but may disrupt some interactions
Mass spectrometry analysis of co-precipitated proteins for unbiased discovery
Western blot verification of specific suspected interactions
Experimental conditions:
These methodological considerations will help maximize the specificity and biological relevance of Co-IP results when using YIL165C antibody.
Non-specific binding is a common challenge when working with yeast antibodies, including YIL165C antibody. A systematic approach to troubleshooting includes:
Optimization of blocking conditions:
Test different blocking agents (5% milk, 3-5% BSA, commercial blocking buffers)
Increase blocking time from 1 hour to overnight at 4°C
Add 0.1-0.3% Tween-20 to blocking solution to reduce hydrophobic interactions
Antibody dilution optimization:
Create a dilution series (1:500, 1:1000, 1:2000, 1:5000) to determine optimal concentration
Reduce primary antibody incubation time or temperature
Prepare antibody dilutions in fresh blocking buffer immediately before use
Wash protocol modifications:
Increase wash stringency with higher salt concentration (up to 500 mM NaCl)
Add 0.1-0.2% SDS to TBST for more stringent washing
Increase number of washes (5-6 times for 10 minutes each)
Use PBS instead of TBS if phosphate buffer provides better results
Sample preparation adjustments:
Ensure complete protein denaturation (boil samples for 5-10 minutes)
Use fresh DTT or β-mercaptoethanol in sample buffer
Centrifuge samples after boiling to remove insoluble material
Control experiments for validation:
Include samples from YIL165C deletion strains as negative controls
Use peptide competition assays to confirm antibody specificity
Test multiple antibody lots if available
By systematically implementing these troubleshooting steps, researchers can significantly reduce non-specific binding and increase confidence in their immunoblotting results with YIL165C antibody.
When analyzing YIL165C expression in stress response experiments, researchers should be aware of these potential pitfalls in data interpretation:
Reference gene selection issues:
Standard housekeeping genes may be affected by stress conditions
GAPDH (often used as a loading control) can vary under certain stress conditions
Recommendation: Use multiple reference genes or total protein normalization methods like Ponceau S staining
Temporal expression dynamics misinterpretation:
Strain background variations:
YIL165C expression patterns may differ between laboratory strains
S288C derivatives may respond differently than other strain backgrounds
Control: Include multiple strain backgrounds in critical experiments
Growth phase confounding effects:
Cell density and growth phase strongly influence stress responses
YIL165C expression may vary between lag, log, and stationary phases
Standardize by using cultures at consistent growth phases (mid-log phase at A600 of 0.5-0.8)
Media composition interference:
Technical versus biological replication confusion:
Different fixation methods can significantly impact the performance of YIL165C antibody in immunohistochemistry applications with yeast cells. The following comparative analysis provides guidance for method selection:
| Fixation Method | Protocol Details | Signal Strength | Background | Epitope Preservation | Best Application |
|---|---|---|---|---|---|
| Formaldehyde (3.7%) | 30 min at RT | Moderate | Low | Good | General detection |
| Methanol | 6 min at -20°C | High | Moderate | Moderate | Membrane proteins |
| Acetone | 5 min at -20°C | Variable | Low-High | Poor | Not recommended |
| Formaldehyde/Glutaraldehyde (3%/0.2%) | 1 hour at RT | Low | Very low | Excellent | Ultrastructural studies |
| Ethanol (70%) | 30 min at RT | Moderate | Moderate | Moderate | Quick screening |
Formaldehyde fixation typically provides the best balance of signal strength and background reduction for most applications with YIL165C antibody. The cross-linking mechanism preserves protein structure while maintaining accessibility of most epitopes. For challenging detection scenarios, a dual fixation approach may be beneficial:
Initial quick fixation with formaldehyde (1%, 5 minutes)
Followed by spheroplasting with zymolyase (100T, 0.5 mg/ml)
Secondary fixation with formaldehyde (3.7%, 25 minutes)
This sequential approach improves antibody penetration while maintaining adequate epitope preservation. When working with fluorescent protein fusions, researchers should note that methanol and acetone fixation can destroy fluorescent protein signals, making formaldehyde the preferred option for co-localization studies.
YIL165C antibody can be employed in several advanced applications to investigate yeast vacuolar function and acid resistance mechanisms, building on findings that connect these cellular processes:
Proximity-dependent labeling approaches:
Antibody-based APEX2 fusion constructs can identify proximal proteins
Method: Conjugate YIL165C antibody to APEX2 peroxidase
Identify proteins in spatial proximity through biotinylation
This can reveal functional networks related to vacuolar processes
Super-resolution microscopy applications:
Use fluorophore-conjugated secondary antibodies against YIL165C primary antibody
Apply STORM or PALM techniques to achieve 20-30 nm resolution
Map precise subcellular localization relative to vacuolar markers
This can clarify potential roles in V-ATPase activity, which is critical for acid resistance
Chromatin immunoprecipitation (ChIP) for transcriptional regulation studies:
If YIL165C has nuclear functions, ChIP with YIL165C antibody can identify DNA binding sites
Protocol should be adapted with zymolyase pre-treatment for yeast cells
This can connect YIL165C to transcriptional responses during acid stress
Quantitative analysis of protein dynamics during stress:
Interactome mapping through integrated approaches:
Combine Co-IP with YIL165C antibody and mass spectrometry
Cross-reference results with genetic interaction networks
Identify key protein complexes involved in acid resistance
This systematic approach can position YIL165C in functional pathways related to vacuole function and acid tolerance
By applying these advanced techniques with YIL165C antibody, researchers can develop more comprehensive models of how yeast cells coordinate vacuolar function and acid resistance mechanisms, potentially revealing conserved cellular pathways relevant to higher eukaryotes.
YIL165C antibody is increasingly being integrated into systems biology approaches that combine multiple data types to understand cellular functions holistically. These emerging applications include:
Multi-omics integration: Combining YIL165C antibody-based proteomics with transcriptomics and metabolomics to create comprehensive models of stress response pathways. This approach has been valuable in understanding complex phenotypes like acetic acid resistance, where multiple cellular systems are involved .
Single-cell analysis: Adapting YIL165C antibody-based detection methods for single-cell proteomics to investigate cell-to-cell variability in protein expression and localization during stress responses. This provides insights into population heterogeneity that may contribute to survival under stress conditions.
Temporal pathway mapping: Using YIL165C antibody in time-resolved experiments to track protein dynamics during adaptation to environmental stresses. This temporal dimension adds crucial information about the sequence of events in stress response mechanisms.
Network perturbation analysis: Combining YIL165C antibody detection with systematic genetic perturbations to map functional interactions. This approach can reveal compensatory mechanisms and pathway redundancies in acid resistance systems.
Computational model validation: Using quantitative data from YIL165C antibody-based experiments to validate and refine computational models of yeast stress responses. This iterative process strengthens predictive capabilities for understanding cellular behavior under various conditions.