YPR130C is annotated as a "questionable ORF" in the Saccharomyces Genome Database (SGD), indicating uncertain protein-coding potential . Despite this, it has been included in large-scale proteomic analyses to explore yeast protein-protein interactions (PPIs) . Antibodies against YPR130C would theoretically enable detection, localization, or functional studies of this putative protein.
Research on YPR130C relies on high-throughput techniques due to its uncharacterized status. Key methodologies include:
These approaches circumvent the need for YPR130C-specific antibodies by using generic tags or indirect detection .
No commercially available or peer-validated YPR130C-specific antibodies exist, as evidenced by:
Absence in Major Databases: YPR130C is not listed in antibody registries (e.g., Antibody Registry, YCharOS) .
Reliance on Indirect Methods: Studies use epitope-tagged YPR130C constructs rather than native antibodies .
Limited Functional Data: YPR130C lacks established biological roles, reducing incentive for antibody development .
Hypothetical applications of YPR130C antibodies include:
Localization Studies: Confirming subcellular distribution in yeast.
Interaction Mapping: Validating putative PPIs identified via proteomics .
Phenotypic Analysis: Linking YPR130C deletion/overexpression to cellular effects.
Projects like YCharOS highlight broader challenges in antibody reliability :
Polyclonal Antibody Limitations: Only 20–30% of antibodies perform adequately in applications like immunoprecipitation .
Validation Requirements: Rigorous knockout controls are essential to confirm specificity .
These lessons underscore the need for systematic validation if YPR130C antibodies are developed.
STRING: 4932.YPR130C
YPR130C is a protein expressed in Saccharomyces cerevisiae (Baker's yeast). While the search results don't provide detailed information about the specific functions of YPR130C, it is a target for research in yeast molecular biology. Understanding the function of YPR130C requires consulting yeast genome databases and functional studies in the literature.
When designing experiments targeting this protein, researchers should first review the current literature on YPR130C function, localization, and interaction partners to establish appropriate experimental conditions and controls that reflect the protein's native environment and activity.
The YPR130C antibody has been validated for the following applications:
When implementing these applications, researchers should first perform optimization steps to determine the ideal antibody concentration, incubation conditions, and detection methods for their specific experimental system. For Western blots, begin with a dilution series (e.g., 1:500, 1:1000, 1:2000) to identify the optimal concentration that maximizes specific signal while minimizing background.
For optimal preservation of antibody activity:
Upon receipt, store at -20°C or -80°C
Avoid repeated freeze-thaw cycles that can cause protein denaturation and loss of binding capacity
The antibody is supplied in a liquid form containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative
For long-term storage beyond 6 months, aliquoting the antibody into smaller volumes before freezing is recommended to prevent repeated freeze-thaw cycles. Working aliquots can be stored at 4°C for up to 2 weeks for ongoing experiments.
The YPR130C antibody specifically reacts with Saccharomyces cerevisiae (strain ATCC 204508/S288c), commonly known as Baker's yeast . When planning cross-reactivity studies, researchers should note that antibodies raised against yeast proteins may show limited cross-reactivity with orthologous proteins from other fungal species depending on sequence conservation.
Optimization of Western blot conditions requires systematic adjustment of multiple parameters:
| Parameter | Recommended Range | Optimization Strategy |
|---|---|---|
| Protein loading | 20-50 µg total protein | Test gradient loading to determine threshold for detection |
| Antibody dilution | 1:500 to 1:2000 | Perform dilution series to balance signal and background |
| Blocking agent | 5% BSA or 5% non-fat milk | Compare blocking agents to minimize background |
| Incubation time | Primary: 1-16 hours; Secondary: 1-2 hours | Test different durations to maximize signal-to-noise ratio |
| Washing steps | 3-5 washes, 5-10 minutes each | Increase number or duration of washes to reduce background |
For yeast samples specifically, include a rigorous cell wall disruption step in your protein extraction protocol (such as glass bead lysis or enzymatic treatment with zymolyase) to ensure efficient release of intracellular proteins. When detecting YPR130C, consider using PVDF membranes rather than nitrocellulose for potentially better protein retention and signal strength.
Distinguishing between specific and non-specific signals requires multiple validation approaches:
Positive and negative controls: Include samples from wild-type and YPR130C knockout strains
Peptide competition assay: Pre-incubate the antibody with excess purified YPR130C protein or immunogenic peptide to block specific binding sites
Secondary antibody only control: Omit primary antibody to identify non-specific secondary antibody binding
Size verification: Confirm that the detected band matches the expected molecular weight of YPR130C
Alternative detection methods: Validate results using an independent method (e.g., mass spectrometry)
In cases where background remains problematic, consider implementing a more stringent washing protocol or using alternative blocking reagents such as fish gelatin or commercial blocking solutions designed for yeast applications.
When designing co-immunoprecipitation (Co-IP) experiments with YPR130C antibody:
Buffer optimization: Test multiple lysis buffers to identify conditions that preserve protein-protein interactions while efficiently extracting YPR130C
Start with a gentle buffer (e.g., 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% NP-40, protease inhibitors)
Adjust salt concentration (100-300 mM) to balance extraction efficiency and interaction preservation
Antibody immobilization: Covalently couple the antibody to protein A/G beads using crosslinking reagents (e.g., DMP or BS3) to prevent antibody co-elution with the target protein
Controls:
Input control: 5-10% of lysate before immunoprecipitation
Negative control: Non-specific IgG from the same species
Bead-only control: Beads without antibody
Reverse Co-IP: Use antibodies against suspected interaction partners
Elution conditions: Test multiple elution strategies (competitive elution with peptide, pH elution, or direct boiling in SDS sample buffer) to identify the most efficient method
Analysis of Co-IP results should include normalization to input controls and quantification of enrichment relative to negative controls using densitometry.
The polyclonal nature of this antibody introduces specific considerations for experimental design:
Lot-to-lot variation: Maintain records of antibody lot numbers and perform validation with each new lot
Epitope diversity: The antibody recognizes multiple epitopes, which may affect results in applications where epitope accessibility varies
Cross-reactivity risk: Include additional controls to confirm specificity:
Pre-adsorption controls with purified antigen
Parallel experiments with epitope-tagged YPR130C and tag-specific antibodies
Genetic knockouts or knockdowns of YPR130C as negative controls
When publishing results, include detailed information about antibody validation steps, lot numbers, and specific experimental conditions to facilitate reproducibility by other researchers.
For immunofluorescence or immunohistochemistry applications:
Fixation optimization: Test multiple fixation methods:
Paraformaldehyde (2-4%) for structural preservation
Methanol for increased permeabilization
Hybrid protocols combining aldehyde and alcohol fixation
Epitope retrieval: Yeast cell wall can impede antibody access; consider:
Enzymatic digestion (zymolyase, lyticase)
Heat-induced epitope retrieval in citrate buffer
Permeabilization with detergents (0.1-0.5% Triton X-100 or saponin)
Signal amplification: For low-abundance proteins, implement:
Tyramide signal amplification (TSA)
Secondary antibody with higher fluorophore conjugation ratios
Biotin-streptavidin amplification systems
Controls for specificity:
Peptide competition controls
Genetic controls (knockout/knockdown)
Secondary antibody-only controls
Comparative localization with tagged version of YPR130C
For quantitative analysis of YPR130C expression:
| Method | Advantages | Limitations | Normalization Strategy |
|---|---|---|---|
| Western blot | Protein size confirmation, widely accessible | Semi-quantitative, variable transfer efficiency | Housekeeping proteins (e.g., GAPDH, actin), total protein stain (Ponceau S) |
| ELISA | High-throughput, quantitative | No size confirmation, potential cross-reactivity | Standard curve with purified recombinant protein |
| Flow cytometry | Single-cell resolution, statistical power | Requires cell permeabilization | Isotype controls, fluorescence minus one (FMO) controls |
| Mass spectrometry | High specificity, multiplexing capability | Complex sample preparation, expensive | Spike-in standards, label-free quantification algorithms |
For each method, implement technical replicates (n≥3) and biological replicates (n≥3) to ensure statistical validity. When comparing expression across conditions, use appropriate statistical tests (t-test, ANOVA) with correction for multiple comparisons when applicable.
| Issue | Possible Causes | Potential Solutions |
|---|---|---|
| No signal | Inadequate protein extraction, protein degradation, insufficient antibody | Optimize lysis protocol for yeast cells, add protease inhibitors, increase antibody concentration, extend incubation time |
| Multiple bands | Cross-reactivity, protein degradation, post-translational modifications | Verify with knockout controls, add protease inhibitors, use freshly prepared samples |
| High background | Insufficient blocking, over-development, non-specific binding | Increase blocking time/concentration, reduce antibody concentration, add Tween-20 to washing buffers, increase wash duration |
| Inconsistent results | Lot-to-lot antibody variation, inconsistent sample preparation | Use same antibody lot for related experiments, standardize protein extraction protocol |
When troubleshooting Western blot issues with YPR130C detection, implement a systematic approach that modifies one variable at a time while keeping others constant. Document all protocol modifications and their effects on signal quality to build an optimized protocol.
A comprehensive validation strategy includes:
Genetic validation:
Test antibody reactivity in YPR130C knockout strains
Compare reactivity in strains with varying YPR130C expression levels
Immunological validation:
Peptide competition assays
Comparison with alternative antibodies targeting different epitopes
Analysis of size concordance with predicted molecular weight
Orthogonal validation:
Correlation with mRNA levels (RT-qPCR)
Mass spectrometry confirmation of immunoprecipitated proteins
Correlation with GFP-tagged YPR130C detection
Application-specific validation:
For each application (WB, ELISA, IP), perform separate optimization and validation
Document application-specific limitations for publication
When confronted with contradictory results:
Systematic bias analysis:
Evaluate whether discrepancies follow a pattern suggesting methodological bias
Consider whether sample preparation differences could explain contradictions
Epitope accessibility assessment:
Different applications expose different epitopes
Native vs. denatured protein conformation can affect antibody recognition
Resolution strategies:
Implement an independent method that doesn't rely on antibody detection
Use genetic approaches (CRISPR, RNAi) to validate functional observations
Consider using epitope-tagged versions of YPR130C in parallel
Integration approach:
Rather than discarding contradictory results, report all observations
Discuss possible biological explanations for differences
Highlight methodological limitations that could explain discrepancies
As antibody technologies evolve, consider implementing:
Proximity labeling approaches:
BioID or APEX2 fusion proteins to identify proximal interaction partners
Antibody-guided chromatin profiling for transcription factor studies
Super-resolution microscopy optimizations:
Direct stochastic optical reconstruction microscopy (dSTORM)
Expansion microscopy for enhanced spatial resolution
Antibody fragment (Fab) labeling to reduce linkage error
Single-cell applications:
Antibody-based single-cell proteomics
Spatial transcriptomics with antibody anchoring
Intrabody development for live-cell tracking
When adopting these advanced approaches, begin with proof-of-concept experiments that validate the new technology against established methods before proceeding to novel biological questions.