YLR230W is a hypothetical protein encoded by the Saccharomyces cerevisiae genome. Key annotations include:
Subcellular localization: Membrane-associated, likely with a single transmembrane domain .
Sequence: No conserved domains identified via STRING database analysis .
Orthologs: No known functional equivalents in higher eukaryotes .
Observed band size: ~25–30 kDa (theoretical molecular weight: 28.5 kDa) .
Validation: Specificity confirmed using S. cerevisiae lysates .
Suitable for qualitative detection in yeast membrane extracts.
| Parameter | Data |
|---|---|
| Purity | Affinity-purified using protein A/G |
| Cross-reactivity | None detected in E. coli or mammalian cell lysates |
| Lot-to-lot consistency | ≥90% by SDS-PAGE |
Primary vendors:
Cusabio (Cat. No.: CSB-PA144272XA01SVG)
THE BioTek (Cat. No.: BT1638315)
Regulatory status: For research use only (RUO). Not approved for diagnostic or therapeutic applications .
STRING: 4932.YLR230W
YLR230W Antibody is a polyclonal antibody developed to target the YLR230W protein found in Saccharomyces cerevisiae (Baker's yeast, strain ATCC 204508 / S288c) . This antibody recognizes specific epitopes on the YLR230W protein and is typically used in various immunological assays for detection and characterization of this target. The antibody allows researchers to study the expression, localization, and function of the YLR230W protein in yeast cell systems. Methodologically, researchers should validate the specificity of the antibody using positive and negative controls before proceeding with experimental applications, as cross-reactivity with other yeast proteins can sometimes occur.
YLR230W Antibody is primarily used in fundamental yeast research applications including:
Western blotting to detect and quantify YLR230W protein expression levels
Immunoprecipitation to isolate YLR230W and its binding partners
Immunohistochemistry to visualize protein localization within yeast cells
Chromatin immunoprecipitation (ChIP) if YLR230W has DNA-binding properties
Flow cytometry for quantitative analysis of protein expression
Methodologically, each application requires specific optimization steps. For Western blotting, determining the optimal antibody dilution (typically between 1:500-1:2000) is crucial for specific detection while minimizing background. For immunoprecipitation, researchers should optimize buffer conditions to maintain protein interactions while ensuring specificity of pull-down .
Proper storage and handling of YLR230W Antibody is critical for maintaining its activity and specificity. The antibody should be stored at -20°C for long-term preservation or at 4°C if used frequently within a short period . Repeated freeze-thaw cycles should be avoided as they can lead to denaturation and loss of antibody activity. When handling the antibody, researchers should:
Aliquot the stock solution into smaller volumes to prevent repeated freeze-thaw cycles
Use sterile technique when handling to prevent contamination
Avoid exposure to strong light or oxidizing agents
Use appropriate buffers (typically PBS with 0.02% sodium azide) for dilutions
Record lot numbers for experimental reproducibility
Methodologically, researchers should validate each new lot of antibody against a previously validated lot to ensure consistent performance across experiments.
YLR230W Antibody can be adapted for use in yeast cell surface display (YSD) systems, which have become powerful tools for protein engineering. For researchers interested in displaying the YLR230W protein or using this antibody in detection within YSD systems, the SpyTag/SpyCatcher-based approach offers significant advantages:
The methodology involves:
Generating a construct where YLR230W is fused with a SpyTag (16 amino acids)
Creating a separate construct with an anchor protein (such as 649-stalk) fused with SpyCatcher (113 amino acids)
Co-expressing both constructs in yeast cells
Allowing post-translational protein ligation via isopeptide bond formation
Using YLR230W Antibody to verify correct display and orientation
This system achieves high display efficiency (>90%) without intercellular protein ligation events, and enables enrichment of target cells through cell sorting . A key advantage of this approach is that mutations in the gene encoding the anchor proteins will not inhibit the display of YLR230W on the cell surface, making it compatible with in vivo continuous evolution methods.
Validating antibody specificity is critical for ensuring reliable research results. For YLR230W Antibody, comprehensive validation should include:
Genetic validation: Testing antibody reactivity in wild-type versus YLR230W knockout yeast strains to confirm specificity
Peptide competition assay: Pre-incubating the antibody with purified YLR230W protein or peptide before the experiment to block specific binding
Cross-reactivity testing: Evaluating potential cross-reactivity with closely related yeast proteins
Multiple detection methods: Confirming results using alternative techniques (e.g., mass spectrometry)
Epitope mapping: Identifying the specific binding regions to understand potential interference with protein interactions
Methodologically, researchers should document validation results in detail, including images of Western blots showing single bands of expected molecular weight, control experiments, and quantitative assessments of signal-to-noise ratios .
Integrating YLR230W Antibody into multiplexed detection systems enhances the efficiency and depth of yeast proteomics studies. Advanced multiplexing approaches include:
Multiple fluorophore labeling: Conjugating YLR230W Antibody with spectrally distinct fluorophores alongside other antibodies
Sequential elution and labeling: Using antibody cocktails with distinct elution conditions
Mass cytometry (CyTOF): Labeling YLR230W Antibody with metal isotopes for high-dimensional analysis
Microscopy multiplexing: Combining YLR230W Antibody with other markers using multispectral imaging systems
Methodologically, researchers must carefully optimize signal separation to avoid spectral overlap and cross-reactivity. Controls should include single-antibody staining to establish baseline signals and determine compensation parameters .
| Issue | Potential Causes | Methodological Solutions |
|---|---|---|
| False Positives | Cross-reactivity with similar proteins | Pre-adsorb antibody with related proteins; use knockout controls |
| Non-specific binding to Fc receptors | Add blocking agents (5% BSA, normal serum) | |
| Excessive antibody concentration | Titrate to optimal concentration (typically 1:500-1:2000) | |
| Inadequate washing | Increase wash steps (minimum 3×5 minutes) with detergent (0.1% Tween-20) | |
| False Negatives | Protein denaturation affecting epitope | Try multiple fixation methods; use native conditions |
| Insufficient antibody concentration | Increase concentration; extend incubation (overnight at 4°C) | |
| Epitope masking by protein interactions | Try epitope retrieval methods (heat, pH, detergents) | |
| Degraded antibody | Use fresh aliquots; verify antibody integrity |
Methodologically, researchers should systematically test these variables and document conditions that yield optimal signal-to-noise ratios .
Optimizing YLR230W Antibody for ChIP requires special considerations due to the complex chromatin environment. Advanced optimization strategies include:
Crosslinking optimization: Testing multiple formaldehyde concentrations (0.1-1%) and incubation times (5-20 minutes)
Sonication parameters: Optimizing sonication cycles to achieve 200-500bp chromatin fragments
Antibody enrichment: Using protein A/G beads pre-bound with YLR230W Antibody to enhance capture efficiency
Buffer modifications: Adjusting salt concentrations and detergents to reduce background while maintaining specific interactions
Sequential ChIP: If YLR230W interacts with other DNA-binding proteins, performing sequential immunoprecipitation
Quantitative PCR should be used to validate enrichment at known binding sites versus control regions. Methodologically, including input controls and IgG controls is essential for accurate interpretation of results .
Co-immunoprecipitation (co-IP) with YLR230W Antibody presents unique challenges for preserving protein-protein interactions. Key methodological considerations include:
Lysis conditions: Using mild detergents (0.1% NP-40 or 0.5% digitonin) to preserve native protein complexes
Salt concentration: Testing gradient of salt concentrations (50-150mM) to optimize specificity while maintaining interactions
Antibody orientation: Using direct antibody coupling to beads versus protein A/G capture to reduce background
Cross-linking options: Employing reversible cross-linkers to stabilize transient interactions
Validation strategies: Confirming interactions through reciprocal co-IP and alternative methods like proximity ligation assay
Researchers should optimize each parameter systematically and include appropriate controls such as IgG control, input control, and negative control lysates (YLR230W-depleted) .
Integrating YLR230W Antibody with nanobody technology represents an advanced approach for yeast protein research. Nanobodies (VHH fragments) offer several advantages due to their smaller size (approximately one-tenth the size of conventional antibodies) and enhanced ability to access hidden epitopes. Methodologically, researchers can:
Use YLR230W Antibody to validate nanobody specificity against the same target
Develop a complementary nanobody targeting a different epitope of YLR230W
Employ the SpyTag/SpyCatcher system to display nanobodies on yeast cell surfaces alongside YLR230W Antibody detection
Create tandem nanobody formats (triple tandem) for enhanced binding and detection sensitivity
Combine conventional YLR230W Antibody with nanobodies in sandwich assay formats
This combinatorial approach can achieve remarkable detection sensitivity and specificity, potentially neutralizing over 90% of target protein variants when engineered correctly .
Super-resolution microscopy with YLR230W Antibody requires specific optimizations to achieve nanometer-scale resolution. Key methodological considerations include:
Fluorophore selection: Using photoswitchable fluorophores (Alexa Fluor 647, Atto 488) compatible with techniques like STORM or PALM
Sample preparation: Implementing specialized fixation protocols that preserve epitope accessibility while enhancing structural integrity
Labeling density optimization: Titrating antibody concentration to achieve optimal spatial separation of fluorophores
Drift correction: Including fiducial markers for sample drift correction during extended imaging sessions
Multi-color imaging strategy: Carefully selecting fluorophore pairs with minimal spectral overlap when combining with other antibodies
Quantitative validation should include resolution measurements using known structures within yeast cells. Methodologically, researchers should prepare control samples with known localization patterns to validate the super-resolution images .
Advanced computational methods significantly improve the extraction of meaningful insights from YLR230W Antibody-based experiments. Sophisticated analytical approaches include:
Machine learning classification: Training algorithms to distinguish specific staining patterns from background or artifact signals
Colocalization analysis: Employing Pearson or Manders coefficients for quantitative assessment of spatial relationships with other proteins
Time-series analysis: Using hidden Markov models to track temporal changes in YLR230W localization or expression
Network analysis: Integrating YLR230W Antibody-derived interaction data into protein-protein interaction networks
Quantitative image analysis: Developing custom pipelines for automated segmentation and quantification of subcellular signals
Methodologically, researchers should establish standardized analysis workflows with appropriate controls and validation steps. Statistical rigor requires determining appropriate sample sizes through power analysis and implementing multiple hypothesis testing correction .
Combining YLR230W Antibody with CRISPR-Cas9 technology creates powerful opportunities for functional genomics studies in yeast. Methodological approaches include:
Epitope tagging: Using CRISPR to add epitope tags to the endogenous YLR230W gene for enhanced antibody detection
Knockout validation: Creating YLR230W knockout strains to validate antibody specificity
CRISPRi applications: Employing CRISPR interference to modulate YLR230W expression levels and correlate with antibody signal intensity
Domain mapping: Using CRISPR to create truncated YLR230W variants to map the antibody's epitope
Synthetic genetic interactions: Combining YLR230W antibody-based assays with CRISPR screens to identify genetic interactors
Methodologically, researchers should carefully design guide RNAs to minimize off-target effects and include appropriate controls such as non-targeting guides and wild-type strains .
Advanced display and selection technologies offer pathways to develop enhanced YLR230W Antibodies with superior properties. Key methodological approaches include:
Yeast surface display evolution: Using SpyTag/SpyCatcher-based display systems to evolve antibodies with higher affinity and specificity
Phage display libraries: Creating diverse antibody libraries to select variants with enhanced properties
Ribosome display: Generating antibody fragments with improved stability and reduced aggregation
Deep mutational scanning: Systematically testing thousands of antibody variants to identify optimal sequences
Affinity maturation: Using targeted mutagenesis of CDR regions to enhance binding characteristics
The most effective approach involves iterative rounds of diversification and selection using flow cytometry to isolate variants with desired properties. Methodologically, researchers should implement stringent washing steps during selection and gradually increase selection pressure across rounds .
Comparative data from different selection approaches:
| Selection Method | Typical Affinity Improvement | Timeline | Technical Complexity | Special Equipment Required |
|---|---|---|---|---|
| Yeast Display | 10-100 fold | 2-4 weeks | Moderate | Flow cytometer |
| Phage Display | 10-1000 fold | 3-6 weeks | Moderate | Automated plate washer |
| Ribosome Display | 10-1000 fold | 2-3 weeks | High | None |
| Deep Mutational Scanning | Variable | 4-8 weeks | Very High | Next-gen sequencer |
Integrating YLR230W Antibody with proteomics creates opportunities for system-wide analysis of yeast biology. Advanced methodological strategies include:
Immunoaffinity purification-mass spectrometry: Using YLR230W Antibody to capture protein complexes followed by MS identification
Proximity-dependent biotin labeling: Conjugating TurboID or APEX2 to YLR230W Antibody for in situ labeling of proximal proteins
Cross-linking mass spectrometry: Employing chemical cross-linkers to stabilize interactions before YLR230W immunoprecipitation
Targeted proteomics: Developing selective reaction monitoring (SRM) assays for YLR230W and interacting partners
Spatial proteomics: Combining YLR230W immunolabeling with laser capture microdissection and MS analysis
For optimal results, researchers should implement stringent controls including IgG pulldowns, reversed cross-linking controls, and spike-in standards for quantification. Data analysis requires sophisticated bioinformatics approaches to filter contaminants and identify high-confidence interactions .