YOR394C-A (UniProt ID: Q8TGJ0) is a protein found in Saccharomyces cerevisiae strain ATCC 204508/S288c (Baker's yeast) . This protein has been the target of antibody development for research applications in yeast biology. While detailed functional characterization information is limited in current literature, studying this protein may contribute to understanding fundamental cellular processes in this important model organism.
Based on product specifications, YOR394C-A Antibody has been validated for enzyme-linked immunosorbent assay (ELISA) and Western Blot (WB) applications . These techniques allow researchers to detect and quantify the YOR394C-A protein in experimental samples. The antibody is specifically reactive to Saccharomyces cerevisiae (strain ATCC 204508/S288c) .
The commercially available YOR394C-A Antibody has the following specifications:
Reactivity: Specific to Saccharomyces cerevisiae (strain ATCC 204508/S288c)
Immunogen: Recombinant Saccharomyces cerevisiae YOR394C-A protein
Storage buffer: 50% Glycerol, 0.01M PBS (pH 7.4), 0.03% Proclin 300
Storage conditions: -20°C or -80°C, avoiding repeated freeze-thaw cycles
Before using YOR394C-A Antibody in critical experiments, researchers should perform comprehensive validation studies similar to those employed in antibody research for other targets :
Positive and negative control testing:
Wild-type yeast samples (positive control)
YOR394C-A knockout strains (negative control)
Non-target yeast species (specificity control)
Titration experiments to determine optimal concentration:
| Dilution | Signal-to-noise ratio | Background | Recommendation |
|---|---|---|---|
| 1:100 | Highest | Moderate | For low abundance detection |
| 1:500 | Good | Low | General purpose |
| 1:1000 | Moderate | Minimal | Standard starting dilution |
| 1:5000 | Low | Minimal | High abundance targets |
Specificity verification using techniques like mass spectrometry to confirm target identity, similar to approaches used in immunoprecipitation studies of other proteins .
For optimal Western blot results with YOR394C-A Antibody, consider the following protocol adapted from general antibody research practices:
Sample preparation:
Extract total protein from Saccharomyces cerevisiae using standard yeast lysis methods
Include protease inhibitors to prevent degradation
Quantify protein concentration (Bradford or BCA assay)
Electrophoresis and transfer:
Load 20-50 μg of total protein per lane
Use appropriate percentage SDS-PAGE gels based on the expected molecular weight
Transfer to PVDF or nitrocellulose membrane
Blocking and antibody incubation:
Detection:
Use appropriate secondary anti-rabbit IgG antibody
Detect using chemiluminescence or other suitable detection methods
For ELISA applications, researchers should consider these optimization steps informed by antibody research practices :
Antigen immobilization:
Determine optimal antigen concentration for coating (typically 1-10 μg/mL)
Use carbonate/bicarbonate buffer (pH 9.6) for coating
Coat plates overnight at 4°C
Antibody dilution optimization:
| YOR394C-A Antibody dilution | Expected outcome | Application |
|---|---|---|
| 1:500 | High signal | Low abundance detection |
| 1:1000 | Moderate signal | General screening |
| 1:2000 | Lower signal | High abundance targets |
Controls to include:
Positive control (known YOR394C-A-containing sample)
Negative control (sample lacking YOR394C-A)
Secondary antibody-only control (to assess background)
Several factors can contribute to false negative results when using antibodies like YOR394C-A Antibody:
Protein denaturation issues:
If the antibody recognizes conformational epitopes that are lost during sample processing
Try different sample preparation methods (native vs. denaturing conditions)
Expression level considerations:
Low expression of YOR394C-A under certain growth conditions
Consider enrichment steps or growth condition optimization
Technical factors:
While not specifically listed in the tested applications, polyclonal antibodies like YOR394C-A Antibody could potentially be optimized for immunoprecipitation (IP) studies:
Basic IP protocol adaptation:
Considerations for co-immunoprecipitation:
Use milder lysis buffers to preserve protein interactions
Include appropriate controls (IgG control, input sample)
Consider validation with reverse IP using antibodies against suspected interaction partners
Similar IP approaches have been used successfully with other antibodies for studying protein interactions, as demonstrated in research on autoimmune responses .
When using YOR394C-A Antibody to compare protein expression or localization between wild-type and mutant yeast strains:
Experimental design:
Include multiple biological replicates
Ensure consistent growth conditions and harvest points
Consider time-course experiments to capture dynamic changes
Controls:
Loading controls for Western blots
Parallel analysis of known marker proteins
Complementation controls for mutant strains
Quantification approach:
Use appropriate normalization methods
Account for potential differences in background signal
Apply statistical analysis to determine significance
For accurate quantification and comparison of YOR394C-A protein levels:
Western blot normalization:
Normalize to total protein (using Ponceau S, SYPRO Ruby, or similar stains)
Use established housekeeping proteins as internal controls
Consider multiple reference proteins when experimental conditions might affect standard markers
ELISA quantification:
Include a standard curve if purified protein is available
Express results relative to total protein concentration
Consider using internal reference samples across experiments
Statistical approaches:
Apply appropriate statistical tests based on experimental design
Account for technical and biological variability
Consider transformation (e.g., log) for data with wide dynamic range
Similar normalization approaches have been used in antibody-based studies of other proteins .
When interpreting data related to YOR394C-A expression changes:
Context considerations:
Growth phase effects on expression
Environmental stressors and their impact
Relationship to other cellular processes
Functional implications to explore:
Correlation with phenotypic changes
Potential pathway involvement
Interactions with other proteins
Validation approaches:
Corroborate antibody-based findings with orthogonal methods
Consider genetic approaches (gene deletion, overexpression)
Examine localization changes using microscopy
Understanding protein interactions can provide functional insights:
Potential approaches:
Co-immunoprecipitation followed by mass spectrometry analysis
Proximity-dependent labeling techniques
Correlation of localization with known interaction partners
Experimental considerations:
Cell lysis conditions to preserve interactions
Validation of interactions through reciprocal experiments
Controls to distinguish specific from non-specific interactions
These approaches are similar to methods used in studies of protein-protein interactions in other systems .
As systems biology approaches become more prevalent:
Integration with other techniques:
Correlation with transcriptomic data
Incorporation into proteome-wide studies
Validation of computational predictions
Potential applications:
Verification of protein expression in different conditions
Assessment of post-translational modifications
Monitoring of protein localization dynamics
Emerging methodologies:
Combination with CRISPR-based approaches in yeast
Integration with high-content microscopy
Application in synthetic biology validation
Similar systems biology approaches have been employed using antibodies for other research questions, such as in immune response studies .