YDR396W Antibody is a polyclonal antibody targeting the YDR396W protein in Saccharomyces cerevisiae (baker’s yeast). YDR396W is a putative, uncharacterized protein encoded by the YDR396W gene, which is essential for yeast viability . This antibody is primarily used in research to study the protein’s localization, interactions, and potential roles in cellular processes such as glycosylation and membrane function .
Proteomic screens identified YDR396W as a glycoprotein candidate, with a 4.5-fold enrichment in glycosylated proteins compared to the yeast proteome baseline . This aligns with its predicted membrane localization and potential role in cell-wall dynamics .
Functional genomics studies highlight YDR396W as essential, with knockout strains exhibiting inviability . This underscores its non-redundant role in yeast biology, though mechanistic details remain under investigation .
Western Blot: The antibody detects a single band at the expected molecular weight (~50 kDa) in yeast lysates, confirming specificity .
Epitope Mapping: The polyclonal nature suggests recognition of multiple linear epitopes across the YDR396W protein .
YDR396W Antibody is utilized in:
Protein Localization Studies: To determine subcellular distribution via immunofluorescence or immunogold labeling .
Interaction Networks: Identifying binding partners through co-immunoprecipitation (Co-IP) .
Functional Genomics: Validating gene-editing outcomes (e.g., CRISPR/Cas9 knockouts) .
Despite its utility, the antibody’s applications are constrained by the limited functional annotation of YDR396W. Future research could prioritize:
STRING: 4932.YDR396W
YDR396W antibody (Product Code: CSB-PA519273XA01SVG) is a polyclonal antibody raised in rabbits against recombinant Saccharomyces cerevisiae (strain ATCC 204508/S288c) YDR396W protein. It is supplied in liquid form with a preservative of 0.03% Proclin 300 in a storage buffer consisting of 50% Glycerol and 0.01M PBS at pH 7.4. This antibody has been purified using antigen affinity methods, ensuring high specificity for the target protein .
The antibody recognizes the YDR396W protein from S. cerevisiae and has been specifically validated for ELISA and Western Blot applications. As with most research-grade antibodies, it is intended for research use only and not for diagnostic or therapeutic procedures .
For maximum retention of antibody activity, YDR396W antibody should be stored at -20°C or -80°C immediately upon receipt. It is critical to avoid repeated freeze-thaw cycles as these can significantly reduce antibody functionality and increase background in experimental applications .
For researchers planning long-term studies, consider aliquoting the antibody into smaller working volumes before freezing to minimize freeze-thaw cycles. When handling the antibody:
| Storage Parameter | Recommended Condition |
|---|---|
| Long-term storage | -80°C (preferred) or -20°C |
| Working solution | 4°C for up to 1 week |
| Freeze-thaw cycles | Minimize (ideally <5 total) |
| Aliquot size | 10-20 μL based on typical experiment needs |
YDR396W antibody has been specifically validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB) applications. When using this antibody for these methods, proper controls should be incorporated to ensure the correct identification of the target antigen .
For applications beyond ELISA and WB, researchers should perform their own validation studies to confirm antibody performance in their specific experimental system.
When optimizing Western Blot protocols with YDR396W antibody, several parameters require careful consideration to obtain clear and specific signals:
Dilution Optimization:
Begin with a titration experiment using a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000) to determine the optimal antibody concentration that provides maximum specific signal with minimal background.
Blocking Conditions:
For yeast proteins, BSA-based blocking buffers (3-5%) often perform better than milk-based blockers, which can introduce cross-reactivity with certain yeast epitopes.
Sample Preparation Considerations:
Yeast cell walls require thorough disruption for complete protein extraction. Consider the following lysis protocol:
Grow yeast cells to mid-log phase (OD600 ≈ 0.6-0.8)
Harvest cells by centrifugation (3000×g, 5 minutes)
Wash cell pellet with ice-cold PBS
Resuspend in lysis buffer containing protease inhibitors
Disrupt cells using glass beads or enzymatic methods
Clarify lysate by centrifugation (14,000×g, 15 minutes, 4°C)
Optimization Table for Western Blotting:
| Parameter | Starting Condition | Optimization Range | Notes |
|---|---|---|---|
| Antibody dilution | 1:1000 | 1:500 - 1:5000 | Start with manufacturer's recommendation if available |
| Blocking agent | 5% BSA | 3-5% BSA or 5% non-fat milk | BSA often performs better with yeast proteins |
| Incubation time | Overnight at 4°C | 1 hour at RT to overnight at 4°C | Longer incubations may increase sensitivity |
| Secondary antibody | Anti-rabbit HRP 1:5000 | 1:2000 - 1:10000 | Match species to primary antibody (rabbit) |
| Washing stringency | 3 × 5 min TBST | 3-5 × 5-10 min TBST | Increase washing for high background |
Rigorous experimental design requires appropriate controls to ensure result validity and interpretability:
Positive Controls:
Wild-type S. cerevisiae (strain ATCC 204508/S288c) expressing YDR396W
Recombinant YDR396W protein (ideally the same immunogen used to generate the antibody)
Negative Controls:
YDR396W knockout strain (if available)
Non-target yeast species to assess cross-reactivity
Secondary antibody-only control to detect non-specific binding
Isotype control (non-targeting rabbit IgG) to identify potential non-specific signals
Validation Controls:
Peptide competition assay: pre-incubate antibody with excess immunizing peptide to confirm signal specificity
Multiple detection methods: confirm findings using orthogonal techniques (e.g., immunofluorescence, immunoprecipitation)
When analyzing data, statistical methods similar to those used in antibody characterization studies should be employed. For example, dose-response relationships can be modeled using four-parameter logistic (4PL) models as described in antibody characterization literature .
Inconsistent ELISA results with YDR396W antibody may stem from several sources. The following troubleshooting framework addresses common challenges:
Systematic Troubleshooting Approach:
Antibody Activity Assessment:
Verify antibody hasn't degraded through improper storage
Test a new lot or aliquot of antibody
Consider using a known positive sample to validate antibody activity
Protocol Optimization:
Antigen coating concentration (try 1-10 μg/mL range)
Blocking buffer composition (compare BSA vs. casein vs. commercial blockers)
Sample dilution series (perform broader ranges)
Incubation times and temperatures
Washing stringency (adjust number and duration of washes)
Technical Variables:
Plate-to-plate variability (use high-binding ELISA plates)
Edge effects (avoid using outer wells or use plate sealers)
Temperature fluctuations during incubation
Pipetting precision (use calibrated multichannel pipettes)
Systematic Variation Analysis Table:
| Variable | Experiment 1 | Experiment 2 | Experiment 3 | Effect on Results |
|---|---|---|---|---|
| Coating buffer | Carbonate pH 9.6 | PBS pH 7.4 | Tris pH 8.0 | Carbonate often provides better protein adherence for ELISA |
| Blocking time | 1 hour | 2 hours | Overnight | Longer blocking may reduce background but could mask epitopes |
| Primary Ab dilution | 1:1000 | 1:2000 | 1:5000 | Higher concentration may increase signal but also background |
| Incubation temperature | Room temp | 37°C | 4°C | Higher temps increase reaction rate but may reduce specificity |
| Detection system | HRP/TMB | HRP/ABTS | AP/pNPP | Different substrates offer varying sensitivity levels |
Using a methodical approach similar to that employed in antibody characterization studies, researchers should modify one variable at a time and document outcomes to identify optimal conditions .
Antibody validation is crucial for ensuring experimental reliability. For YDR396W antibody, consider these validation approaches:
Target Verification Methods:
Genetic Approaches:
Test antibody reactivity in YDR396W knockout strains
Use strains with tagged YDR396W (e.g., epitope-tagged or fluorescent protein fusions)
Employ siRNA/CRISPR knockdown to confirm signal reduction correlates with reduced target expression
Biochemical Validation:
Immunoprecipitation followed by mass spectrometry
Peptide array analysis to confirm epitope specificity
Multiple antibody approach (use antibodies targeting different epitopes)
Orthogonal Techniques:
Compare protein expression using qRT-PCR for mRNA levels
Correlate with GFP-fusion protein localization
Use non-antibody detection methods where possible
Similar to antibody characterization approaches described in the literature, researchers should implement a systematic validation workflow that includes dose-response analysis and appropriate statistical methods to quantify antibody performance metrics .
Determining optimal antibody concentration requires systematic titration experiments across platforms:
Titration Strategy for Western Blot:
Prepare a standard lysate from wild-type S. cerevisiae
Prepare antibody dilutions (e.g., 1:500, 1:1000, 1:2000, 1:5000, 1:10000)
Run identical blots with each antibody dilution
Quantify signal-to-noise ratio for each dilution
Select concentration with highest specific signal and lowest background
Titration Strategy for ELISA:
Prepare a standard curve of recombinant target protein
Test multiple antibody concentrations in a matrix format
Calculate detection limits and linear range for each concentration
Determine optimal concentration based on sensitivity needs and background levels
Concentration Optimization Data Analysis:
For quantitative analysis, researchers can employ statistical approaches similar to those used in antibody characterization studies, such as four-parameter logistic (4PL) models to determine the half-maximal effective concentration (EC50) of the antibody . The relationship between antibody dose and assay outcomes can be modeled using the formula:
y = L + (U − L)/(1 + (x/EC50)^h)
Where:
L is the minimum signal (lower asymptote)
U is the maximum signal (upper asymptote)
EC50 is the concentration producing 50% of maximum signal
h is the Hill slope determining curve steepness
YDR396W is a gene in Saccharomyces cerevisiae (Baker's yeast) that encodes a protein with UniProt accession number O13522 . While the search results don't provide extensive information about this specific gene's function, understanding its role typically requires:
Phenotypic analysis of deletion mutants
Localization studies using fluorescent protein fusions
Protein interaction studies (Y2H, co-IP, BioID)
Expression analysis under different growth conditions
Evolutionary conservation analysis across fungal species
Researchers working with YDR396W antibody would benefit from integrating their antibody-based studies with these complementary approaches to build a comprehensive understanding of the protein's function.
Cross-reactivity assessment is essential for experiments involving multiple yeast species or strains:
Methodological Approach for Cross-Reactivity Testing:
Prepare protein extracts from multiple species:
S. cerevisiae (positive control)
Closely related species (e.g., S. paradoxus, S. bayanus)
More distant species (e.g., Candida albicans, Schizosaccharomyces pombe)
Run parallel Western blots or ELISAs with standardized protein amounts
Quantify relative signal intensity across species
Perform sequence alignment analysis:
Align YDR396W sequences across species
Identify conservation level of the immunogen region
Predict potential cross-reactivity based on epitope conservation
Cross-Reactivity Assessment Table:
| Species | Sequence Homology to S. cerevisiae YDR396W | Predicted Cross-Reactivity | Experimental Cross-Reactivity | Notes |
|---|---|---|---|---|
| S. cerevisiae | 100% (reference) | Strong (positive control) | +++ | Used as positive control |
| S. paradoxus | ~95% (hypothetical) | Likely strong | ++ | Test with different antibody dilutions |
| S. bayanus | ~90% (hypothetical) | Moderate | + | May require higher antibody concentration |
| C. albicans | ~50% (hypothetical) | Unlikely | - | Useful negative control |
| S. pombe | ~40% (hypothetical) | Very unlikely | - | Useful negative control |
Note: The sequence homology percentages provided are hypothetical examples - researchers should calculate actual values based on sequence alignments.
Multi-parameter approaches provide richer datasets for complex biological questions:
Integrated Experimental Approaches:
Co-immunoprecipitation coupled with mass spectrometry:
Use YDR396W antibody for IP followed by MS to identify interaction partners
Compare interactome under different growth conditions or stress responses
Validate key interactions with reciprocal IP experiments
ChIP-seq for potential DNA-binding activity:
If YDR396W has potential nuclear localization, chromatin immunoprecipitation using the antibody can identify potential DNA binding sites
Compare binding profiles under different conditions
Multiplexed immunofluorescence:
Combine YDR396W antibody with markers for cellular compartments
Analyze co-localization under different conditions
Track changes in localization during the cell cycle or stress responses
Time-course experiments require special attention to consistency and reproducibility:
Experimental Design Considerations:
Sample Collection and Processing:
Develop rapid sampling protocols to preserve time-point integrity
Consider flash-freezing samples if they cannot be processed immediately
Process all samples identically to minimize technical variation
Antibody Batch Consistency:
Use the same antibody lot for the entire time course
Prepare sufficient working dilution for all time points at once
Include internal controls to normalize between blots/assays
Quantification and Normalization:
Use digital image analysis for Western blots
Include loading controls appropriate for the experimental condition
Consider the half-life of the loading control protein
Normalize to total protein when studying conditions that affect housekeeping genes
Statistical Analysis:
Proper documentation of antibody use is essential for reproducibility:
Publication Documentation Checklist:
Antibody Specification Details:
Manufacturer and catalog number (CSB-PA519273XA01SVG)
Lot number used for experiments
Host species (Rabbit)
Clonality (Polyclonal)
Immunogen (Recombinant S. cerevisiae YDR396W protein)
Validation Evidence:
Reference to previous validation studies
Description of validation performed in your system
Images of positive and negative controls
Experimental Conditions:
Detailed protocol including dilutions, incubation times and temperatures
Buffer compositions
Detection methods and equipment settings
Quantification methods and software used
Data Analysis:
Statistical methods used for quantification
Normalization approaches
Replicate structure (technical vs. biological)
Following these documentation practices aligns with the methodological rigor demonstrated in antibody characterization literature, ensuring experiment reproducibility and facilitating meta-analysis across studies .