YMR130W Antibody is a custom-developed reagent targeting the YMR130W protein in Saccharomyces cerevisiae (Baker's yeast) . This ORF (open reading frame) corresponds to a hypothetical protein with uncharacterized biological function in yeast genomes. Antibodies against YMR130W are typically used to study its localization, expression levels, or interactions in yeast models .
While no direct studies on YMR130W Antibody are cited in the provided sources, its likely applications align with standard antibody uses in yeast research:
Table 1: Predicted applications based on antibody characterization frameworks .
Antibodies targeting uncharacterized proteins like YMR130W require rigorous validation due to:
Specificity Risks: Cross-reactivity with structurally similar yeast proteins .
Epitope Uncertainty: Lack of confirmed antigenic regions for YMR130W .
Functional Relevance: Unknown biological role complicates assay design .
Initiatives like YCharOS emphasize using knockout (KO) yeast strains to validate antibody specificity in Western Blots and immunofluorescence . For YMR130W, this would involve comparing wild-type and ΔYMR130W strains to confirm signal absence in the KO.
The absence of published studies involving YMR130W Antibody suggests it is either:
A niche reagent used in unpublished yeast research.
Part of high-throughput screening projects like the Structural Genomics Consortium’s antibody pipelines .
A tool for exploratory studies in synthetic biology or gene network analyses.
To ensure reliable results with YMR130W Antibody:
Parallel Controls: Include ΔYMR130W strains in all experiments .
Orthogonal Validation: Pair with tagged YMR130W constructs (e.g., GFP fusions).
Epitope Mapping: Request immunogen sequence details from the vendor .
No peer-reviewed studies, structural models, or quantitative binding data for YMR130W Antibody were identified in the provided sources. Users should consult direct vendor documentation or yeast proteome databases (e.g., Saccharomyces Genome Database) for updated annotations.
YMR130W (UniProt accession: Q04223) is a protein found in Saccharomyces cerevisiae strain ATCC 204508/S288c, commonly known as Baker's yeast . While a full characterization of its function requires further research, current studies suggest it plays roles in cellular metabolism and stress response pathways. When designing experiments to study its function, researchers should consider both loss-of-function approaches (gene knockout, RNA interference) and gain-of-function methodologies (overexpression systems). Antibodies against YMR130W are valuable tools for detecting the protein's expression, localization, and interaction partners within yeast cells.
The YMR130W antibody has been validated for multiple experimental applications, with ELISA and Western Blotting (WB) being the primary validated methods . These techniques can be employed to:
Detect and quantify YMR130W expression under different experimental conditions
Verify protein purification processes
Study post-translational modifications
Examine protein-protein interactions
When using this antibody for Western Blotting, researchers should optimize blocking conditions (typically 5% non-fat dry milk or BSA in TBST) and antibody dilutions to minimize background signal while maximizing specific binding.
For maximum antibody stability and performance, YMR130W antibody should be stored at either -20°C or -80°C upon receipt . Repeated freeze-thaw cycles must be avoided as they can lead to antibody denaturation, aggregation, and loss of binding activity. Consider the following practical laboratory approaches:
Aliquot the antibody into single-use volumes upon receipt
Store aliquots in sterile, nuclease-free microcentrifuge tubes
When handling, always keep the antibody on ice
Return unused antibody to -20°C or -80°C immediately after use
Track the number of freeze-thaw cycles for each aliquot
The antibody is supplied in liquid form with a storage buffer containing 0.03% Proclin 300 as a preservative, 50% Glycerol, and 0.01M PBS at pH 7.4 .
Before proceeding with experiments, proper validation of antibody specificity is essential to ensure reliable results. Methodological approaches include:
Positive and negative controls: Use wild-type yeast expressing YMR130W as a positive control and YMR130W knockout strains as negative controls
Blocking peptide competition: Pre-incubate the antibody with excess immunizing peptide to confirm signal specificity
Cross-reactivity testing: Test against closely related yeast species to assess potential cross-reactivity
Multiple detection methods: Confirm results using orthogonal techniques like immunofluorescence or mass spectrometry
Documenting these validation steps is crucial for publication and reproducibility purposes.
Optimizing Western Blot conditions for YMR130W antibody requires systematic testing of several parameters. The following table summarizes recommended starting conditions and optimization strategies:
| Parameter | Recommended Conditions | Optimization Notes |
|---|---|---|
| Sample preparation | Yeast lysate in RIPA buffer with protease inhibitors | Test mechanical (glass beads) vs. chemical lysis methods |
| Protein amount | 20-40 μg per well | Titrate to determine minimum detectable amount |
| Gel percentage | 10-12% SDS-PAGE | Adjust based on YMR130W molecular weight |
| Transfer | Wet transfer, 100V for 1 hour or 30V overnight | PVDF membrane preferred over nitrocellulose |
| Blocking | 5% non-fat milk in TBST, 1 hour at RT | BSA may reduce background in phospho-specific detection |
| Primary antibody | 1:1000 dilution, overnight at 4°C | Test 1:500-1:2000 range to optimize |
| Secondary antibody | HRP-conjugated anti-rabbit, 1:5000, 1 hour at RT | Consider fluorescent secondaries for multiplexing |
| Detection | ECL substrate, exposure time: 30s-5min | Adjust exposure based on signal strength |
Researchers should document all optimization steps and include both positive and negative controls in each experiment.
Immunoprecipitation (IP) with YMR130W antibody can reveal protein-protein interactions and post-translational modifications. While not explicitly listed in the validated applications , many polyclonal antibodies perform well in IP experiments. A methodological approach includes:
Cell lysis optimization: Test different lysis buffers to maintain protein complexes while ensuring efficient extraction (start with 25mM Tris-HCl pH 7.4, 150mM NaCl, 1% NP-40, 1mM EDTA, and protease/phosphatase inhibitors)
Pre-clearing: Pre-clear lysates with protein A/G beads to reduce non-specific binding
Antibody binding: Incubate 2-5 μg of YMR130W antibody with 500-1000 μg of protein lysate overnight at 4°C with gentle rotation
Bead capture: Add protein A sepharose beads (appropriate for rabbit IgG) and incubate 2-4 hours at 4°C
Washing: Perform stringent washes (at least 4-5) with decreasing salt concentrations
Elution: Elute bound proteins with SDS sample buffer for Western blot analysis or with gentler methods for functional studies
Controls: Include IgG control and input samples in each experiment
Since the YMR130W antibody is raised against recombinant Saccharomyces cerevisiae YMR130W protein , potential cross-reactivity must be addressed, especially in complex samples. Methodological approaches include:
Pre-absorption: Incubate the antibody with lysates from YMR130W knockout strains to remove antibodies binding to other epitopes
Epitope mapping: Identify the specific epitopes recognized by the antibody to predict potential cross-reactive proteins
Dilution optimization: Test a range of antibody dilutions to find the concentration that maximizes specific signal while minimizing background
Alternative detection systems: Consider using more sensitive detection methods like chemiluminescence amplification or fluorescent secondaries
Two-dimensional analysis: Combine with 2D gel electrophoresis to better separate potentially cross-reactive proteins
Mass spectrometry validation: Use immunoprecipitation followed by mass spectrometry to identify all proteins captured by the antibody
Robust experimental design requires careful consideration of appropriate controls:
Positive controls: Wild-type S. cerevisiae expressing YMR130W
Negative controls: YMR130W knockout strains
Loading controls: Housekeeping proteins such as actin or GAPDH
Antibody controls: Secondary-only controls, isotype controls, and pre-immune serum controls
Treatment controls: Vehicle controls for any treatment conditions
Peptide competition: Antibody pre-incubated with immunizing peptide
Modern yeast research increasingly employs multi-omics approaches to gain comprehensive insights. YMR130W antibody can be integrated into these workflows through:
ChIP-seq studies: If YMR130W has DNA-binding properties, chromatin immunoprecipitation followed by sequencing can map genomic binding sites
Proteomics integration: Use immunoprecipitation followed by mass spectrometry (IP-MS) to identify interaction partners, then correlate with transcriptomic data
Spatial proteomics: Combine with subcellular fractionation to determine localization patterns under different conditions
Time-course analyses: Monitor YMR130W expression, modification, and localization changes in response to environmental stresses or growth phases
Cross-platform validation: Verify protein-level findings (using the antibody) with mRNA-level data from RNA-seq or microarray studies
This integrated approach provides a more complete understanding of YMR130W's function within the cell's complex molecular networks.
When facing inconsistent results with YMR130W antibody, a systematic troubleshooting approach should be employed:
Antibody quality assessment: Check for signs of degradation, precipitates, or contamination; consider ordering a new lot if necessary
Optimization matrix: Create a systematic matrix varying multiple parameters (antibody concentration, incubation time, temperature, washing stringency)
Sample preparation evaluation: Ensure consistent sample preparation by standardizing lysis conditions, protein quantification methods, and storage conditions
Protocol documentation: Maintain detailed records of all experimental variables to identify potential sources of variability
Biological variability assessment: Determine if inconsistencies reflect actual biological variation by increasing biological replicates
Alternative detection methods: Validate findings using orthogonal approaches (e.g., fluorescent tags, mass spectrometry) if antibody-based detection remains problematic
Quantitative analysis of YMR130W expression or modification requires rigorous data processing:
Image acquisition standardization: Use linear range capture settings to avoid saturation in Western blot or immunofluorescence imaging
Normalization strategies: Normalize to appropriate loading controls and consider total protein normalization approaches (e.g., stain-free gels)
Statistical analysis: Apply appropriate statistical tests based on experimental design and data distribution; consider consulting a biostatistician for complex experiments
Biological replicates: Include at least three true biological replicates (separate yeast cultures) rather than just technical replicates
Effect size reporting: Report fold changes with confidence intervals rather than just p-values
Data visualization: Present data in formats that accurately represent both the magnitude of effects and their statistical significance
When using YMR130W antibody to study protein-protein interactions, several methodological considerations should be addressed:
Crosslinking optimization: If employing crosslinking, test multiple reagents (DSS, formaldehyde, etc.) and conditions to preserve physiologically relevant interactions
Detergent selection: Different detergents can disrupt or preserve various types of protein interactions; test a panel (NP-40, Triton X-100, CHAPS, etc.)
Salt concentration effects: Titrate salt concentrations to minimize non-specific interactions while maintaining specific ones
Confirmation approaches: Validate interactions using multiple methods (co-IP in both directions, proximity ligation assays, FRET, etc.)
Functional validation: Test the biological relevance of identified interactions through genetic approaches (double mutants, synthetic lethality)