The YOR296W gene encodes a protein in S. cerevisiae with functions tied to cellular metabolism or stress responses, though specific biological roles remain under investigation . The antibody product is designed for detecting this protein via immunological assays.
Western Blotting: Detects the YOR296W protein in yeast lysates .
Immunoprecipitation: Potential utility in studying protein-protein interactions (hypothetical, as no published data exists).
ELISA: Quantitative analysis of YOR296W expression levels.
Yeast Genetics: Critical for studying S. cerevisiae metabolic pathways or stress signaling .
Cross-Species Utility: May serve as a model for eukaryotic protein studies, given yeast’s conserved cellular mechanisms .
Specificity: Requires orthogonal validation via knockout (KO) cell lines or CRISPR editing to confirm target specificity .
Cross-Reactivity: Unlikely to bind human homologs due to species specificity, but testing with mammalian lysates is recommended .
KEGG: sce:YOR296W
STRING: 4932.YOR296W
YOR296W antibody is a polyclonal antibody specifically designed to target the YOR296W protein (UniProt No. Q08748) in Saccharomyces cerevisiae, particularly strain ATCC 204508/S288c (Baker's yeast). This antibody is typically generated using recombinant YOR296W protein as the immunogen in rabbits, resulting in IgG-type polyclonal antibodies that recognize various epitopes of the target protein . Unlike monoclonal antibodies that recognize single epitopes, polyclonal antibodies like YOR296W antibody bind to multiple regions of the target protein, potentially offering more robust detection across various experimental conditions.
For maximum stability and retention of binding properties, YOR296W antibody should be stored at -20°C or -80°C immediately upon receipt. Repeated freeze-thaw cycles should be strictly avoided as they can lead to protein denaturation and significant loss of antibody activity. The antibody is typically supplied in a stabilizing buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative . This formulation helps maintain antibody integrity during storage. For working solutions, aliquoting the stock antibody into smaller volumes before freezing is recommended to prevent multiple freeze-thaw cycles of the entire stock.
YOR296W antibody has been specifically validated for Western Blot (WB) and Enzyme-Linked Immunosorbent Assay (ELISA) applications . The validation process typically involves confirming specific binding to the target protein and minimal cross-reactivity with unrelated proteins. When using this antibody in either application, it's essential to include appropriate positive and negative controls to ensure accurate interpretation of results. While the antibody may potentially work in other immunological techniques, researchers should perform their own validation if extending its use to non-validated applications such as immunohistochemistry, immunofluorescence, or immunoprecipitation.
Before employing YOR296W antibody in critical experiments, researchers should implement multiple validation strategies based on the conceptual pillars established by the International Working Group on Antibody Validation (IWGAV) . A comprehensive validation approach should include:
Genetic strategies: Testing the antibody in samples where YOR296W has been knocked out or knocked down (using CRISPR/Cas or RNAi techniques) to confirm signal disappearance .
Orthogonal strategies: Correlating antibody-based detection with an antibody-independent method such as mass spectrometry or RT-PCR quantification of YOR296W .
Independent antibody strategy: Comparing results with a second antibody targeting a different epitope on YOR296W, if available .
Tagged protein expression: Using a tagged version of YOR296W (with GFP or other tags) to correlate tagged protein detection with antibody signal .
Immunocapture with mass spectrometry: Confirming that immunoprecipitation with the antibody pulls down YOR296W specifically .
Implementing at least two of these pillars provides stronger validation than relying on a single approach.
For rigorous Western Blot experiments with YOR296W antibody, the following controls should be included:
Positive control: Lysate from wild-type S. cerevisiae strain ATCC 204508/S288c expressing YOR296W .
Negative control: Lysate from a YOR296W knockout strain or from a different organism where the protein is not expressed.
Loading control: Detection of a housekeeping protein (e.g., actin or GAPDH) to ensure equal protein loading across samples.
Primary antibody control: Omitting the primary antibody while keeping all other steps identical to check for non-specific binding of the secondary antibody.
Blocking peptide control: Pre-incubating the antibody with excess recombinant YOR296W protein before membrane probing to demonstrate signal specificity.
These controls are crucial for distinguishing specific binding from background signal and ensuring experimental reproducibility.
Optimizing ELISA protocols for YOR296W antibody requires systematic adjustment of multiple parameters:
| Parameter | Optimization Range | Considerations |
|---|---|---|
| Antibody concentration | 0.1-10 μg/mL | Titrate to determine optimal signal-to-noise ratio |
| Coating buffer | Carbonate (pH 9.6), PBS (pH 7.4) | Test different buffers for optimal antigen binding |
| Blocking agent | 1-5% BSA, milk, or casein | Select agent with lowest background |
| Incubation time | 1-16 hours | Balance between signal strength and background |
| Incubation temperature | 4°C, room temp, 37°C | Lower temperatures may reduce non-specific binding |
| Washing steps | 3-5 washes with 0.05-0.1% Tween-20 | Thorough washing reduces background |
| Detection system | Colorimetric, fluorescent, chemiluminescent | Choose based on required sensitivity |
A checkerboard titration approach, where both antigen and antibody concentrations are varied systematically, is recommended to determine optimal conditions. Additionally, each new lot of antibody should be re-titrated as binding properties may vary between lots .
The YOR296W antibody, being polyclonal in nature, recognizes multiple epitopes on the target protein. It was raised against the full recombinant YOR296W protein from Saccharomyces cerevisiae (strain ATCC 204508/S288c) . Without epitope mapping data provided by the manufacturer, researchers should assume that the antibody binds to various regions across the protein structure. For critical epitope-specific applications, researchers may need to:
Perform epitope mapping experiments using peptide arrays or truncated protein constructs.
Consider how post-translational modifications might affect antibody recognition.
Evaluate whether protein conformation (native vs. denatured) impacts antibody binding.
For studies requiring precise epitope knowledge, contacting the manufacturer for additional technical information or conducting epitope mapping experiments may be necessary.
The YOR296W antibody is specifically validated for Saccharomyces cerevisiae strain ATCC 204508/S288c . When working with related yeast strains or species, researchers should consider:
Sequence homology: Higher homology between the YOR296W protein sequences across strains increases the likelihood of cross-reactivity.
Strain-specific protein variants: Even small amino acid differences can affect epitope recognition.
Expression levels: Variable expression levels across strains may lead to different signal intensities unrelated to antibody affinity.
To address potential cross-reactivity issues:
Perform preliminary validation experiments with each new strain.
Include appropriate positive and negative controls from validated and non-validated strains.
Consider sequence alignment analysis of YOR296W across strains to predict potential cross-reactivity.
If working across diverse strains is crucial, consider using an orthogonal detection method alongside antibody-based detection .
When encountering weak or inconsistent signals with YOR296W antibody, implement this systematic troubleshooting approach:
Antibody concentration: Titrate antibody concentration; insufficient or excessive antibody can both lead to poor results.
Sample preparation: Ensure complete protein extraction and denaturation. Try different lysis buffers that may better preserve the target protein.
Protein expression verification: Confirm YOR296W expression in your samples using an orthogonal method like RT-PCR .
Blocking optimization: Test alternative blocking agents (BSA, casein, commercial blockers) to reduce background while preserving specific signal.
Incubation conditions: Adjust temperature and duration for both primary and secondary antibody incubations.
Detection system sensitivity: Consider switching to a more sensitive detection method (e.g., from colorimetric to chemiluminescent).
Antibody storage: Verify proper storage conditions; antibody degradation can lead to reduced signal.
Protein modifications: Consider whether post-translational modifications might be affecting epitope accessibility.
Document all troubleshooting steps methodically in a laboratory notebook to facilitate resolution and future reproducibility.
For rigorous quantification and interpretation of Western Blot results with YOR296W antibody:
Image acquisition: Capture images within the linear range of your detection system to ensure accurate quantification. Multiple exposure times may be necessary to determine the optimal range.
Software selection: Use specialized software (ImageJ, Image Lab, etc.) that can perform background subtraction and density analysis.
Normalization approach: Always normalize YOR296W signal to a loading control (e.g., GAPDH, actin) to account for lane-to-lane variations in total protein.
Technical replicates: Perform at least three technical replicates to assess reproducibility.
Biological replicates: Include multiple biological replicates (different yeast cultures/extractions) to account for biological variation.
Statistical analysis: Apply appropriate statistical tests based on your experimental design (t-test, ANOVA, etc.).
Visual representation: Present both representative blot images and quantification graphs with error bars and significance indicators.
Remember that Western Blot is considered semi-quantitative; for absolute quantification, consider complementing with more quantitative techniques like ELISA or mass spectrometry .
When analyzing binding data generated with YOR296W antibody, appropriate statistical methods should be employed:
| Statistical Method | Application | Advantages | Considerations |
|---|---|---|---|
| Student's t-test | Comparing two experimental groups | Simple, widely accepted | Assumes normal distribution |
| ANOVA with post-hoc tests | Comparing multiple experimental groups | Controls for multiple comparisons | Requires post-hoc test selection |
| Non-parametric tests (Mann-Whitney, Kruskal-Wallis) | Data not normally distributed | No normality assumption | Potentially less statistical power |
| Regression analysis | Examining relationships between variables | Identifies correlations | Doesn't prove causation |
| Bootstrap methods | Limited sample sizes | Robust despite small n | Computationally intensive |
Key considerations for statistical analysis include:
Normality testing of data before selecting parametric vs. non-parametric tests.
Appropriate sample sizes based on power analysis.
Correction for multiple comparisons when necessary.
Clear reporting of all statistical methods, including software packages used.
Presentation of both raw data points and statistical summaries in figures.
Statistical analysis should be planned during experimental design rather than retrospectively applied to data .
When facing contradictory or unexpected results in YOR296W antibody experiments, implement this systematic investigation approach:
Technical validation:
Methodological assessment:
Orthogonal approaches:
Biological variables:
Evaluate whether strain differences might explain results
Consider growth conditions, cell cycle stage, and stress responses that might affect YOR296W expression
Examine whether post-translational modifications might affect detection
Literature review:
Systematically compare your methods with published protocols
Contact authors of relevant publications for troubleshooting advice
Consider whether your results might actually represent a novel finding
When reporting discrepancies, include detailed methodological information to help others understand potential sources of variation.
While YOR296W antibody is primarily validated for Western Blot and ELISA applications , it might be adapted for protein localization studies with appropriate validation. Consider this methodological approach:
Validation for immunofluorescence:
Test different fixation protocols (paraformaldehyde, methanol, acetone)
Optimize permeabilization conditions (Triton X-100, saponin, digitonin)
Titrate antibody concentration specifically for microscopy applications
Include appropriate controls (YOR296W knockout cells, peptide competition)
Colocalization studies:
Use markers for different cellular compartments alongside YOR296W antibody
Employ high-resolution microscopy techniques (confocal, STED, STORM) for detailed localization
Quantify colocalization using appropriate software and statistical measures
Dynamic localization:
Study YOR296W localization under different conditions (stress, cell cycle stages)
Consider live cell imaging with complementary approaches (GFP-tagged YOR296W)
Adapting YOR296W antibody for flow cytometry requires special considerations since this application is not listed among its validated uses :
Validation requirements:
Titrate antibody to determine optimal concentration for flow cytometry
Test different fixation and permeabilization protocols for intracellular staining
Use proper positive and negative controls (including fluorescence-minus-one controls)
Verify specificity through genetic approaches (knockout/knockdown)
Panel design considerations:
Select compatible fluorophores if conjugating the antibody
Consider spectral overlap and compensation requirements
Plan appropriate isotype controls
Account for autofluorescence of yeast cells
Data analysis approach:
Establish clear gating strategies
Use appropriate statistical methods for comparing populations
Consider dimensionality reduction techniques (tSNE, UMAP) for complex datasets
Researchers should be transparent about the additional validation performed when reporting flow cytometry results with antibodies not explicitly validated for this application.