The YAbS database catalogs over 2,900 investigational and approved antibody therapeutics, including those targeting infectious diseases, cancers, and autoimmune disorders . Key antibody features tracked include:
| Feature | Description |
|---|---|
| Molecular Format | IgG, IgA, bispecific, etc. |
| Target Antigen | Viral proteins (e.g., SARS-CoV-2 spike), cancer markers (e.g., PD-1) |
| Clinical Status | Phase I–III trials, approved therapies |
| Indications | Infectious diseases, oncology, immunology |
Despite this extensive catalog, "YOL155W-A" does not appear in YAbS or other antibody databases (e.g., Labome, Sino Biological) .
The suffix "-A" is atypical for yeast ORFs.
No yeast-derived antibodies labeled "YOL155W-A" are documented in antibody databases or therapeutic pipelines .
Commercial antibody screens for Y chromosome-encoded genes (e.g., DDX3Y, UTY) confirm no overlap with this identifier .
The absence of data highlights broader issues in antibody specificity and validation:
Genetic Validation: Only ~10% of commercial antibodies against Y chromosome targets pass specificity tests due to homology with X chromosome gametologs .
Functional Validation: Neutralizing antibodies (e.g., YFV-136 for yellow fever, LY-CoV555 for COVID-19) require rigorous in vitro and in vivo testing (Table 1) .
Table 1: Key metrics for validated therapeutic antibodies
| Antibody | Target Pathogen | Neutralization IC₅₀ | Clinical Status | Reference |
|---|---|---|---|---|
| YFV-136 | Yellow fever | <10 ng/mL | Preclinical | |
| LY-CoV555 | SARS-CoV-2 | 0.22 ml/hour clearance | Approved | |
| MBL-YFV-02 | Yellow fever | <50 ng/mL | Preclinical |
Nomenclature Clarification: Confirm whether "YOL155W-A" refers to a gene product, hypothetical protein, or proprietary antibody not yet published.
Antibody Screening: Utilize platforms like YAbS or the WHO’s INN database for updated therapeutic antibody listings .
Validation Studies: If pursuing research on this antibody, apply the International Working Group’s five-pillar validation framework .
YOL155W-A is a gene/protein found in Saccharomyces cerevisiae (strain 204508/S288c), commonly known as baker's yeast. This protein is significant in yeast research because it serves as a model for understanding fundamental cellular processes that are conserved across eukaryotes. Studying YOL155W-A can provide insights into protein expression, cellular localization, and function that may have implications for understanding similar processes in higher organisms including humans.
When investigating YOL155W-A, researchers typically employ polyclonal antibodies raised against specific epitopes of the protein. These antibodies facilitate detection, quantification, and functional studies of the protein in various experimental contexts. The methodological approach involves using validated antibodies in combination with techniques such as Western blotting, immunoprecipitation, and immunofluorescence to generate comprehensive data about protein expression patterns and interactions .
Proper storage of YOL155W-A antibodies is critical for maintaining their specificity and activity over time. Polyclonal YOL155W-A antibodies should be stored at -20°C for long-term preservation, with aliquoting recommended to avoid repeated freeze-thaw cycles that can degrade antibody quality. For short-term use (1-2 weeks), antibodies can be kept at 4°C with the addition of preservatives like sodium azide (0.02-0.05%).
The methodological approach to antibody preservation involves:
Upon receipt, centrifuging the antibody briefly to collect all material at the bottom of the vial
Preparing small working aliquots (10-50 μL) in sterile, low-protein binding microcentrifuge tubes
Returning unused portions to -20°C immediately after use
Avoiding more than 5 freeze-thaw cycles throughout the antibody's lifespan
Monitoring antibody performance over time with positive controls to detect any loss of activity
YOL155W-A antibodies can be employed in multiple research applications to investigate this yeast protein. Based on typical antibody applications for yeast proteins, these may include:
| Application | Recommended Dilution | Key Methodological Considerations |
|---|---|---|
| Western Blotting | 1:500-1:5000 | Optimize blocking agent; consider using yeast-specific lysis buffers |
| Immunoprecipitation | 1:50-1:200 | Pre-clear lysates with protein A/G beads; use spheroplasting for improved extraction |
| Immunofluorescence | 1:100-1:1000 | Cell wall digestion required; optimize fixation method for epitope preservation |
| ELISA | 1:1000-1:10000 | Consider coating buffers optimized for yeast proteins |
| ChIP | 1:50-1:200 | Optimize crosslinking time; use specialized chromatin fragmentation protocols |
The methodological approach involves first validating the antibody in your specific application using positive and negative controls, then optimizing conditions including antibody concentration, incubation time, temperature, and detection methods to achieve optimal signal-to-noise ratio .
Cross-reactivity of YOL155W-A antibodies with other yeast proteins represents a significant challenge that can lead to misinterpretation of results. A methodological approach to assess and minimize cross-reactivity includes:
Assessment strategies:
Perform Western blot analysis using wild-type and YOL155W-A knockout strains to identify non-specific bands
Conduct peptide competition assays where pre-incubation of the antibody with the immunizing peptide should abolish specific signals
Employ mass spectrometry to identify proteins in immunoprecipitated complexes
Test antibody against recombinant YOL155W-A protein expressed in a heterologous system
Minimization strategies:
Affinity purification of polyclonal antibodies against immobilized target antigen
Pre-adsorption with yeast lysates from knockout strains
Optimization of blocking reagents (5% BSA often performs better than milk for yeast applications)
Use of high-stringency washing buffers containing increased salt concentrations or mild detergents
Implementation of gradient elution techniques for immunopurification
The methodological approach should also include proper controls such as isotype-matched control antibodies and blocking peptides to verify signal specificity across experimental applications.
Immunoprecipitation (IP) of yeast proteins presents unique challenges due to the yeast cell wall and complex cellular environment. For YOL155W-A immunoprecipitation, the following methodological approach is recommended:
Cell lysis optimization:
Enzymatic digestion of cell wall using zymolyase or lyticase prior to mechanical disruption
Use of specialized yeast lysis buffers containing:
50 mM Tris-HCl (pH 7.5)
150 mM NaCl
0.1% NP-40 or 0.1% Triton X-100
1 mM EDTA
Protease inhibitor cocktail optimized for yeast
1 mM PMSF (added fresh)
10 mM N-ethylmaleimide (for preserving SUMOylation and ubiquitination)
Pre-clearing strategy:
Incubate lysates with Protein A/G beads for 1 hour at 4°C
Remove beads by centrifugation before adding YOL155W-A antibody
Consider including non-specific IgG from the same species as the antibody
Antibody-antigen binding optimization:
Titrate antibody amounts (typically 2-5 μg per mg of total protein)
Extended incubation (overnight at 4°C) with gentle rotation
Consider crosslinking antibody to beads using dimethyl pimelimidate to prevent antibody co-elution
Washing and elution:
Progressive washing with increasing stringency buffers
Consider native elution with excess antigen peptide for functional studies
For mass spectrometry applications, implement specialized elution strategies to minimize antibody contamination
This methodological approach should be validated by Western blot analysis of input, unbound, and immunoprecipitated fractions to confirm enrichment of YOL155W-A.
Immunofluorescence microscopy with yeast cells presents unique challenges due to autofluorescence and cell wall interference. A methodological approach to troubleshoot non-specific binding includes:
Sample preparation optimization:
Implement spheroplasting using optimized enzymatic digestion (typically 20-30 minutes with 100 μg/ml zymolyase at 30°C)
Compare fixation methods (4% paraformaldehyde vs. methanol/acetone) to determine optimal epitope preservation
Include permeabilization step with 0.1-0.5% Triton X-100 for improved antibody access
Blocking optimization:
Test multiple blocking agents:
5% BSA in PBS
5% normal serum from the same species as secondary antibody
Commercial blocking solutions specifically designed for yeast
Extend blocking time to 2-3 hours at room temperature or overnight at 4°C
Antibody incubation conditions:
Titrate primary antibody concentration (starting with 1:100-1:1000 dilutions)
Extend primary antibody incubation to overnight at 4°C
Implement extensive washing steps (5-6 washes of 10 minutes each)
Pre-adsorb secondary antibodies with fixed yeast cells
Validation controls:
Include YOL155W-A knockout strain as negative control
Use cells expressing YOL155W-A-GFP fusion as positive control
Perform peptide competition assay
Include secondary-only control to assess background
The methodological approach should also consider counterstaining with DAPI for nuclear visualization and wheat germ agglutinin for cell wall identification to provide contextual localization information.
The choice between monoclonal and polyclonal YOL155W-A antibodies significantly impacts experimental outcomes. A methodological decision-making approach includes:
| Parameter | Polyclonal YOL155W-A Antibodies | Monoclonal YOL155W-A Antibodies | Best Application Choice |
|---|---|---|---|
| Epitope Recognition | Multiple epitopes | Single epitope | Polyclonal for detection, monoclonal for specific domain studies |
| Signal Strength | Generally stronger signal | May require signal amplification | Polyclonal for low abundance detection |
| Batch-to-batch Consistency | Variable | Highly consistent | Monoclonal for longitudinal studies |
| Cross-reactivity Risk | Higher | Lower | Monoclonal for closely related protein studies |
| Cost Considerations | Lower cost | Higher production cost | Application-dependent |
| Post-translational Modifications | May recognize various forms | Epitope may be masked by modifications | Application-dependent |
The methodological approach to selection involves:
Defining the primary research question and required specificity
Assessing target protein abundance (low abundance favors polyclonal)
Determining importance of reproducibility across experiments
Evaluating available validation data for different antibody options
Conducting pilot experiments with both types when feasible
For YOL155W-A research, polyclonal antibodies are often initially used for detection and localization studies, while monoclonal antibodies may be preferred for specific interaction studies or where absolute epitope specificity is required .
Investigating YOL155W-A expression under different stress conditions requires careful experimental design. A methodological approach includes:
Strain selection considerations:
Use well-characterized laboratory strains (S288C, W303)
Include epitope-tagged versions (HA, FLAG, GFP) of YOL155W-A
Generate appropriate control strains (knockout, overexpression)
Consider strain background effects on stress responses
Stress condition parameters:
Define precise stress conditions with appropriate controls:
| Stress Type | Recommended Conditions | Control Condition | Sampling Timepoints |
|---|---|---|---|
| Oxidative | 0.5-5 mM H₂O₂ | No H₂O₂ | 0, 15, 30, 60, 120 min |
| Heat shock | 37-42°C | 30°C | 0, 15, 30, 60, 120 min |
| Osmotic | 0.4-1.0 M NaCl | Standard media | 0, 30, 60, 120, 240 min |
| Nutrient limitation | Drop-out media | Complete media | 0, 2, 4, 8, 24 hr |
| Cell wall stress | 5-20 μg/ml Calcofluor White | No treatment | 0, 30, 60, 120, 240 min |
Detection methodology:
Implement multiple detection methods:
RT-qPCR for mRNA expression
Western blot for protein levels using YOL155W-A antibodies
Fluorescence microscopy for localization changes
Chromatin immunoprecipitation for transcriptional regulation
Data analysis approach:
Normalize expression to appropriate housekeeping genes/proteins
Apply statistical analysis appropriate for time-course experiments
Consider both magnitude and kinetics of expression changes
Correlate changes with phenotypic outcomes
The methodological approach should include careful standardization of growth conditions, synchronizing cultures when possible, and implementing biological and technical replicates to ensure reproducibility and statistical significance.
Antibody validation is crucial for ensuring experimental reproducibility and accurate data interpretation. A comprehensive methodological approach to validate YOL155W-A antibodies includes:
Genetic validation approaches:
Test antibody against YOL155W-A knockout strain (should show no signal)
Test against YOL155W-A overexpression strain (should show enhanced signal)
Employ tagged versions of YOL155W-A and confirm co-localization with tag-specific antibodies
Use RNAi or CRISPR knockdown approaches to confirm signal reduction correlates with reduced expression
Biochemical validation approaches:
Peptide competition assays to block specific binding
Immunoprecipitation followed by mass spectrometry to confirm target identity
Pre-adsorption tests against recombinant YOL155W-A protein
Epitope mapping to confirm binding to the expected protein region
Cross-reactivity assessment:
Test against closely related proteins in the same family
Evaluate performance in different yeast species with homologous proteins
Conduct Western blots under reducing and non-reducing conditions
Application-specific validation:
| Application | Validation Approach | Success Criteria |
|---|---|---|
| Western Blot | Band at expected MW, absent in knockout | Single band at predicted MW (±10%) |
| IP | Pull-down target verified by MS | >50% target enrichment |
| IF | Signal in WT, absent in knockout | Pattern consistent with predicted localization |
| ChIP | Enrichment at known binding sites | >4-fold enrichment over IgG control |
| ELISA | Titration curve with recombinant protein | Linear range covering expected concentrations |
The methodological approach should follow a systematic validation pipeline, documenting all validation steps and results to establish antibody reliability for specific applications before conducting critical experiments.
Lot-to-lot variability in polyclonal antibodies is a common challenge that can lead to conflicting results. A methodological approach to address this issue includes:
Systematic comparison analysis:
Perform side-by-side testing of different antibody lots using identical experimental conditions
Document lot numbers, production dates, and storage history
Generate calibration curves for each lot to determine relative sensitivities
Assess background levels and signal-to-noise ratios across lots
Standardization procedure:
Establish internal reference samples (positive and negative controls)
Normalize signals to these reference standards for each experiment
Create standard operating procedures with lot-specific optimizations
Maintain records of lot performance characteristics
Validation strategies for new lots:
Test against recombinant YOL155W-A protein at known concentrations
Confirm expected patterns in wildtype and knockout strains
Conduct epitope mapping to ensure recognition of the same regions
Perform peptide competition assays to confirm specificity
Resolution of conflicting results:
Implement alternative detection methods to corroborate findings
Use tagged versions of YOL155W-A to verify antibody-based observations
Consult with antibody manufacturers regarding production changes
Consider developing monoclonal alternatives for critical applications
The methodological approach should include establishing minimum validation criteria that all antibody lots must meet before use in critical experiments, and implementing careful experimental design with appropriate controls to accommodate lot variations.
Studying post-translational modifications (PTMs) of YOL155W-A requires sophisticated approaches and specialized antibodies. A methodological approach includes:
PTM-specific antibody selection:
Use antibodies targeting common PTMs (phosphorylation, ubiquitination, SUMOylation)
Consider generating custom antibodies against predicted modification sites
Validate PTM antibodies using positive controls (induced modifications)
Combine with general YOL155W-A antibodies in sequential immunoprecipitation
Enrichment strategies for modified forms:
Implement phosphopeptide enrichment using TiO₂ or IMAC
Use Tandem Ubiquitin Binding Entities (TUBEs) for ubiquitinated forms
Apply SUMO-trap technology for SUMOylated proteins
Consider click chemistry approaches for less common modifications
Mass spectrometry-based approaches:
Perform immunoprecipitation with YOL155W-A antibodies followed by MS/MS
Use parallel reaction monitoring for targeted PTM detection
Implement SILAC labeling to quantify modification changes
Apply top-down proteomics for intact protein analysis
Functional correlation analysis:
Create mutants at modification sites (phosphomimetic, non-phosphorylatable)
Use inhibitors of specific modifying enzymes
Correlate modifications with functional assays
Study modification dynamics during cell cycle or stress responses
The methodological approach should be tailored to the specific modification of interest, with particular attention to preservation of labile modifications during sample preparation and analysis.
Differentiating between specific and non-specific signals is critical for accurate data interpretation. A comprehensive methodological approach includes:
Experimental control implementation:
Include YOL155W-A knockout strain as negative control
Use purified recombinant YOL155W-A as positive control
Implement peptide competition assays to block specific binding
Include isotype-matched irrelevant antibodies as specificity controls
Signal validation techniques:
Combine detection with orthogonal methods:
If using Western blot, confirm with mass spectrometry
If using immunofluorescence, verify with fractionation studies
If using ChIP, validate with reporter gene assays
Tag YOL155W-A with epitope tags and verify co-localization
Optimization of experimental conditions:
Titrate antibody concentration to minimize background
Modify blocking conditions to reduce non-specific binding
Increase stringency of washing steps incrementally
Optimize sample preparation to reduce interfering compounds
Analytical approaches for signal discrimination:
| Signal Characteristic | Likely Specific Signal | Likely Non-specific Signal |
|---|---|---|
| Molecular Weight | Matches predicted size | Multiple unexpected bands |
| Knockout Control | Absent | Present |
| Peptide Competition | Eliminated | Partially or not reduced |
| Signal Linearity | Linear with protein amount | Non-linear response |
| Reproducibility | Consistent pattern | Variable pattern |
The methodological approach should emphasize using multiple complementary techniques to verify observations, implementing appropriate controls for each experiment, and critically evaluating signals based on expected biological characteristics of YOL155W-A.
Chromatin immunoprecipitation using YOL155W-A antibodies requires specialized considerations due to the yeast chromatin structure and cross-linking challenges. A methodological approach includes:
Chromatin preparation optimization:
Test multiple crosslinking conditions:
1% formaldehyde for 10-20 minutes at room temperature (standard)
Dual crosslinking with DSG followed by formaldehyde for improved protein-protein fixation
Low concentration (0.5%) long duration (30 min) for difficult epitopes
Optimize cell wall digestion with zymolyase prior to lysis
Determine optimal sonication conditions to achieve 200-500 bp fragments
Implement quality control of chromatin shearing by agarose gel electrophoresis
Immunoprecipitation strategy:
Pre-clear chromatin with protein A/G beads and non-specific IgG
Titrate antibody amount (typically 2-5 μg per ChIP reaction)
Include appropriate controls:
Input chromatin (non-immunoprecipitated)
IgG control (same species as YOL155W-A antibody)
Known targets for positive control antibodies (e.g., histone H3)
Consider sequential ChIP for studying complex regulatory assemblies
Analysis approach:
Design primers for known or predicted binding sites
Include primers for negative regions (typically intergenic)
Normalize to input DNA and IgG control
Consider genome-wide approaches (ChIP-seq) for discovery
Validation of ChIP results:
Confirm enrichment with independent antibody or tagged version
Correlate binding with functional outcomes (gene expression)
Perform motif analysis to identify consensus binding sequences
Use reporter gene assays to validate functional significance
The methodological approach should be tailored to the specific DNA-binding properties of YOL155W-A, with particular attention to epitope accessibility in the chromatin context and the dynamic nature of protein-DNA interactions under different cellular conditions.
Combining immunoprecipitation with mass spectrometry (IP-MS) is a powerful approach for discovering novel protein interactions. A methodological approach for YOL155W-A studies includes:
Sample preparation optimization:
Select appropriate lysis conditions to preserve interactions:
Mild non-ionic detergents (0.1% NP-40, 0.1% Triton X-100)
Physiological salt concentration (120-150 mM NaCl)
Stabilizing agents (glycerol, reducing agents)
Consider crosslinking approaches for transient interactions
Implement SILAC labeling for quantitative analysis
Use appropriate controls (IgG IP, YOL155W-A knockout)
Immunoprecipitation refinement:
Compare direct antibody coupling vs. protein A/G beads
Test different elution strategies:
Competitive elution with peptide (maintains native structure)
Acidic elution (higher yield but may denature)
On-bead digestion (eliminates separation step)
Implement stringent washing to reduce non-specific binding
Consider tandem affinity purification for increased specificity
Mass spectrometry approach:
Select appropriate MS/MS fragmentation methods
Implement data-dependent and data-independent acquisition strategies
Use high-resolution instruments for complex samples
Consider native MS for intact complex analysis
Data analysis and validation:
Apply statistical filtering using replicate experiments
Calculate enrichment factors relative to controls
Implement network analysis to identify functional clusters
Validate key interactions by reciprocal IP, proximity ligation, or yeast two-hybrid
The methodological approach should emphasize distinguishing true interactors from background proteins through quantitative analysis and appropriate controls, with validation of key findings using orthogonal methods.
Studying YOL155W-A localization dynamics during cell cycle progression requires specialized approaches. A methodological strategy includes:
Cell synchronization optimization:
Compare synchronization methods:
α-factor arrest (G1 phase)
Hydroxyurea treatment (S phase)
Nocodazole treatment (G2/M phase)
Centrifugal elutriation (size-based separation)
Validate synchronization by flow cytometry and budding index
Consider temperature-sensitive cdc mutants for specific arrests
Implement release experiments for time-course analysis
Imaging approach refinement:
Optimize fixation to preserve cell cycle structures:
4% paraformaldehyde for general preservation
Methanol/acetone for cytoskeletal structures
Implement multi-color imaging:
YOL155W-A antibody (primary target)
Cell cycle markers (Sic1, Clb2, tubulin)
Nuclear staining (DAPI)
Cell wall/membrane markers (ConA, FM4-64)
Consider live-cell imaging with fluorescently tagged YOL155W-A
Quantitative analysis approach:
Develop automated image analysis pipeline
Measure signal intensity in different cellular compartments
Correlate localization with cell cycle markers
Track changes through time-course experiments
Validation and functional correlation:
Use cell cycle mutants to verify phase-specific localization
Correlate localization changes with post-translational modifications
Implement mutation of localization signals to confirm mechanisms
Correlate localization changes with functional assays
The methodological approach should include careful controls for antibody specificity in each cell cycle phase, as access to epitopes may change with cellular reorganization. Quantitative analysis should be implemented to detect subtle relocalization events that may have functional significance.