YCR090C Antibody

What is YCR090C and why is it studied in yeast research?

YCR090C is a protein encoded by the YCR090C gene in Saccharomyces cerevisiae (strain ATCC 204508 / S288c), commonly known as Baker's yeast. This protein is studied primarily in fundamental yeast biology research as part of efforts to understand the complete yeast proteome. The protein's structure has been predicted through computational methods such as AlphaFold, which provides insights into its potential function based on three-dimensional conformation. YCR090C antibodies allow researchers to study the expression, localization, and interactions of this protein in various yeast cellular processes .

What are the validated applications for YCR090C antibody?

Based on characterization data, YCR090C antibody has been validated for several experimental applications. The primary validated applications include Western Blot (WB) for protein expression analysis and ELISA for quantitative detection. These validations typically involve demonstrating specificity through proper controls, particularly knockout controls where possible. The antibody has been specifically tested against the Saccharomyces cerevisiae strain ATCC 204508 / S288c (Baker's yeast), confirming its species reactivity . For comprehensive validation in your specific experimental context, it's recommended to perform initial optimization experiments with appropriate positive and negative controls.

How is the specificity of YCR090C antibody determined?

The specificity of YCR090C antibody is determined through a combination of validation approaches:

• Immunogen verification: The antibody is raised against a recombinant Saccharomyces cerevisiae YCR090C protein, which serves as the specific immunogen .

• Western blot validation: Similar to the YCharOS antibody characterization approach, definitive validation involves comparing detection in wild-type yeast cells versus YCR090C knockout cells. A specific antibody will show bands only in the wild-type sample .

• Cross-reactivity testing: Assessment against other yeast proteins to confirm minimal non-specific binding.

• Protein domain analysis: Verification that the antibody recognizes the appropriate protein domains identified through computational methods like InterProScan analysis .

For rigorous research, researchers should consider implementing knockout validation strategies similar to those used by antibody characterization initiatives, which have become the gold standard for antibody validation.

What are the optimal conditions for Western blot using YCR090C antibody?

For optimal Western blot results with YCR090C antibody, consider the following protocol recommendations:

• Sample preparation:

  • Harvest yeast cells during mid-log phase for optimal protein expression

  • Use a lysis buffer containing protease inhibitors (e.g., PMSF, leupeptin)

  • Normalize protein loading to 20-40 μg total protein per lane

• Blotting conditions:

  • Recommended dilution: 1:1000 to 1:2000 in 5% BSA in TBST

  • Primary antibody incubation: Overnight at 4°C

  • Secondary antibody: Anti-rabbit IgG HRP conjugate (1:5000)

  • Blocking: 5% non-fat milk or BSA in TBST for 1 hour

• Detection optimization:

  • Use enhanced chemiluminescence (ECL) detection systems

  • Exposure time: Start with 30 seconds and adjust as needed

• Controls:

  • Positive control: Wild-type yeast lysate

  • Negative control: YCR090C knockout yeast strain when available

The specific storage buffer composition (50% Glycerol, 0.01M PBS, pH 7.4 with 0.03% Proclin 300) should be considered when optimizing dilutions for your experiment .

How should researchers validate YCR090C antibody in their own experimental system?

Comprehensive validation of YCR090C antibody in your specific experimental system should follow these methodological steps:

• Preliminary specificity assessment:

  • Perform Western blot with positive control (wild-type yeast) and negative control (if available, YCR090C knockout strain)

  • Verify band size matches predicted molecular weight

  • Test multiple antibody dilutions to determine optimal signal-to-noise ratio

• Functional validation:

  • For immunoprecipitation: Confirm pulled-down protein by mass spectrometry

  • For immunofluorescence: Compare localization pattern with published data or GFP-tagged constructs

• Reproducibility testing:

  • Test across multiple batches of yeast cultures

  • Document lot-to-lot variation if using different antibody batches

• Cross-validation:

  • When possible, compare results with alternative detection methods (e.g., epitope tagging)

  • Consider orthogonal approaches to confirm key findings

Similar to YCharOS' approach to antibody validation, researchers should compile comprehensive validation data including images of Western blots showing controls, quantification of signal intensity, and documentation of experimental conditions .

What controls are essential when working with YCR090C antibody?

When designing experiments with YCR090C antibody, the following controls are critical for result interpretation and validation:

For essential experiments, implementing genetic knockout controls is particularly valuable. When knockout is not viable due to essential gene function, RNA knockdown controls can be used as an alternative approach, similar to methods described in antibody characterization initiatives .

How can YCR090C antibody be used in protein-protein interaction studies?

YCR090C antibody can be effectively employed in protein-protein interaction studies through several methodological approaches:

• Co-immunoprecipitation (Co-IP):

  • Use the antibody to pull down YCR090C protein complexes

  • Analyze co-precipitated proteins by mass spectrometry

  • Protocol optimization: Adjust salt concentration in wash buffers to balance specificity and sensitivity

  • Critical validation: Perform reverse Co-IP with antibodies against identified interacting partners

• Proximity-based labeling:

  • Combine with BioID or APEX2 approaches for proximal protein identification

  • Use antibody validation to confirm successful fusion protein expression

• Chromatin immunoprecipitation (ChIP):

  • If YCR090C has DNA-binding capacity, ChIP can identify genomic binding sites

  • Optimization requires crosslinking condition adjustment and sonication parameters

• Integrative analysis:

  • Correlate interaction data with protein abundance information

  • Compare interactions across different growth conditions or stress responses

  • Incorporate computational predictions based on AlphaFold structural data

When interpreting interaction data, researchers should be aware of potential limitations, including non-physiological interactions in lysates and the impact of detergents on complex stability. Confirmation with orthogonal methods is strongly recommended for key interactions.

What approaches can resolve contradictory results when using YCR090C antibody?

When faced with contradictory results using YCR090C antibody, implement this systematic troubleshooting approach:

• Antibody validation reassessment:

  • Re-validate antibody specificity using knockout controls

  • Test alternative lots or sources of antibody

  • Consider epitope accessibility issues in different experimental contexts

• Technical variables analysis:

  • Create a comprehensive table documenting all experimental conditions

  • Systematically vary buffer compositions, incubation times, and temperatures

  • Implement internal standards for normalization across experiments

• Sample preparation variables:

  • Examine cell growth phase effects on protein expression

  • Compare different lysis methods (chemical vs. mechanical disruption)

  • Document post-translational modifications that might affect epitope recognition

• Orthogonal method comparison:

  • Employ alternative detection methods (e.g., mass spectrometry)

  • Use tagged protein versions for parallel analysis

  • Consider structural predictions from AlphaFold to assess potential conformational issues

• Systematic documentation:

  • Record detailed metadata for all experiments following reproducibility guidelines

  • Document antibody lot number, dilution, incubation conditions, and imaging parameters

When results remain contradictory despite thorough troubleshooting, consider that biological reality may be complex, with context-dependent protein behavior or unexpected post-translational modifications affecting antibody recognition.

How can YCR090C antibody be applied in studying post-translational modifications?

For investigating post-translational modifications (PTMs) of YCR090C protein, consider these specialized approaches:

• PTM-specific detection strategies:

  • Combine YCR090C antibody with PTM-specific antibodies (phospho, ubiquitin, etc.)

  • Verify PTM status through differential mobility on Western blots

  • Employ Phos-tag gels for phosphorylation analysis

  • Use mass spectrometry validation for definitive PTM site identification

• Enzymatic treatment controls:

  • Treat samples with phosphatases, deubiquitinases, or other PTM-removing enzymes

  • Compare detection patterns before and after treatment

  • Implement specific PTM inhibitors in yeast cultures to validate in vivo

• Stimulation/stress response analysis:

  • Monitor YCR090C modification patterns under different stressors

  • Develop time course experiments to track dynamic PTM changes

  • Correlate with functional assays to determine biological significance

• Site-directed mutagenesis validation:

  • Create mutant constructs at predicted PTM sites

  • Compare antibody detection between wild-type and mutant proteins

  • Establish functional consequences of mutation

When publishing PTM findings, researchers should provide comprehensive evidence including blot images with molecular weight markers, PTM-specific controls, and when possible, mass spectrometry confirmation of modified residues.

What are the optimal storage and handling conditions for YCR090C antibody?

To maintain optimal activity and stability of YCR090C antibody, follow these evidence-based storage and handling recommendations:

• Long-term storage:

  • Store at -20°C or -80°C as recommended by the manufacturer

  • Avoid repeated freeze-thaw cycles (aliquot upon first thaw)

  • The presence of 50% glycerol in the storage buffer helps prevent freezing damage

• Working stock handling:

  • For frequent use, maintain a small working aliquot at 4°C (stable for approximately 2 weeks)

  • Return to ice immediately after use, minimize time at room temperature

  • Avoid direct exposure to light (particularly important for conjugated antibodies)

• Transportation considerations:

  • Transport on ice or dry ice for longer durations

  • Minimize exposure to temperature fluctuations

  • Verify activity after shipping with control experiments

• Contamination prevention:

  • The included 0.03% Proclin 300 preservative helps prevent microbial growth

  • Use sterile technique when handling antibody solutions

  • Never return unused antibody to the original container

Implementing a laboratory antibody management system to track freeze-thaw cycles, usage dates, and experimental outcomes can help identify potential degradation issues early and ensure experimental reproducibility.

How can researchers troubleshoot weak or absent signal when using YCR090C antibody?

When encountering weak or absent signals with YCR090C antibody, implement this systematic troubleshooting approach:

For comprehensive troubleshooting, maintain a systematic laboratory notebook documenting all experimental conditions, enabling identification of variables affecting performance. Similar to approaches used in antibody characterization initiatives, incorporate standardized positive controls in every experiment to evaluate relative signal quality .

What alternatives exist when YCR090C antibody yields inconsistent results?

When YCR090C antibody produces inconsistent results despite troubleshooting efforts, consider these alternative approaches to achieve your research objectives:

• Epitope tagging strategies:

  • CRISPR-mediate tagging of YCR090C with HA, FLAG, or His tags

  • Use well-characterized tag-specific antibodies for detection

  • Validate functionality of tagged protein through complementation tests

  • Consider tag placement (N-terminal vs. C-terminal) effects on protein function

• Fluorescent protein fusions:

  • Generate GFP/mCherry-YCR090C fusion constructs

  • Enable live-cell imaging without antibody dependency

  • Validate correct localization and expression levels

• Mass spectrometry-based approaches:

  • Use targeted proteomics (MRM/PRM) for specific detection

  • Label-free quantification of protein abundance

  • Can detect post-translational modifications without antibody limitations

• Transcript-level analysis as proxy:

  • RT-qPCR to measure YCR090C mRNA expression

  • RNA-seq for genome-wide context of expression changes

  • Note limitations in correlation between transcript and protein levels

• Functional assays:

  • Develop phenotypic assays for YCR090C function

  • Genetic interaction screens to establish functional networks

  • In vitro biochemical assays with recombinant protein

Each alternative approach has strengths and limitations. The optimal strategy depends on specific research questions, available resources, and required data resolution. Documentation of method transitions in publications enhances research transparency and reproducibility.

How should researchers interpret conflicting data from different applications using YCR090C antibody?

When confronted with conflicting data from different applications (e.g., Western blot vs. immunofluorescence) using YCR090C antibody, implement this analytical framework:

• Application-specific validation assessment:

  • Antibodies may perform differently across applications due to epitope accessibility

  • Evaluate validation data specifically for each application method

  • Consider that YCR090C antibody may be validated for Western blot but not optimized for other applications

• Comprehensive controls comparison:

  • Analyze controls systematically across all applications

  • Document cases where knockouts show expected results in one application but not others

• Biological context analysis:

  • Consider protein conformation differences between applications

  • Evaluate whether sample preparation methods affect epitope exposure

  • Assess whether protein complexes may mask antibody binding sites in certain contexts

• Quantitative assessment:

  • Develop quantification systems for signal intensity across applications

  • Apply statistical analysis to determine significance of differences

  • Consider dynamic range limitations of different detection methods

• Integration through triangulation:

  • When possible, add a third method to resolve contradictions

  • Weight evidence based on methodology rigor and control strength

  • Consider structural data from resources like AlphaFold when interpreting binding inconsistencies

Responsible data interpretation requires transparent reporting of all inconsistencies in publications, accompanied by attempts to explain discrepancies through additional experimentation or theoretical frameworks.

What bioinformatic resources can complement YCR090C antibody experimental data?

Integrating YCR090C antibody experimental data with bioinformatic resources enhances research depth and interpretation:

• Structural prediction integration:

  • AlphaFold protein structure predictions provide insights into domain organization and potential binding sites

  • Mapping epitopes onto predicted structures can explain antibody recognition patterns

  • Structure-based function prediction may suggest protein activities

• Yeast-specific databases analysis:

  • Saccharomyces Genome Database (SGD) provides comprehensive YCR090C gene and protein information

  • Integration of protein abundance data across conditions illuminates regulation patterns

  • Protein half-life data from SILAC experiments informs turnover rate analysis

• Systems biology data correlation:

  • Genetic interaction networks highlight functional relationships

  • Protein-protein interaction databases suggest complex formation

  • Co-expression data identifies coordinated regulation

• Custom data visualization approaches:

  • Generate integrated visualizations of antibody-detected expression patterns with computational predictions

  • Create interactive dashboards linking experimental and predicted data

  • Develop network models incorporating YCR090C within larger biological systems

• Inter-species conservation analysis:

  • Evolutionary conservation patterns may explain epitope recognition differences

  • Cross-species reactivity assessment enhances functional understanding

  • Identification of conserved domains suggests critical functional regions

How can researchers ensure reproducibility when publishing results using YCR090C antibody?

To ensure reproducibility in publications featuring YCR090C antibody experiments, implement these best practices:

• Comprehensive antibody reporting:

  • Document complete antibody information: manufacturer, catalog number, lot number, RRID

  • Specify exact dilutions, incubation times and temperatures

  • Describe all validation experiments performed in your system

• Methodological transparency:

  • Provide detailed protocols including buffer compositions

  • Specify imaging parameters, exposure times, and image processing steps

  • Include representative images of positive and negative controls

• Quantification and statistical analysis:

  • Clearly describe quantification methods for Western blots or imaging

  • Specify sample sizes, replication strategy, and statistical tests

  • Include raw quantitative data in supplementary materials

• Limitations acknowledgment:

  • Explicitly discuss known limitations of the antibody

  • Address potential epitope-specific issues or condition dependencies

  • Note any contradictory results and possible explanations

• Open data practices:

  • Deposit full-resolution, unprocessed images in repositories

  • Share detailed protocols on platforms like protocols.io

  • Consider publishing validation data in repositories like Antibody Registry

• Reagent availability:

  • Ensure access to critical reagents including control constructs

  • Provide information on yeast strains used for validation

  • Consider sharing critical materials through repositories

Following these principles aligns with broader initiatives in antibody reporting like those employed by YCharOS, enhancing scientific reproducibility and accelerating research progress .