Target antigen: YOR316C-A protein (UniProt ID: Q3E806)
Host species: Rabbit (polyclonal, inferred from standard production methods for research antibodies)
Applications: Immunoprecipitation, Western blotting, immunofluorescence
Commercial availability:
| Product Code | Size Options | Species Specificity | Price Range (USD) |
|---|---|---|---|
| CSB-PA659045XA01SVG | 2 ml / 0.1 ml | S. cerevisiae | $200–$500 |
YOR316C-A is a hypothetical protein with uncharacterized function. Antibodies against it enable:
Localization studies: Subcellular tracking via immunofluorescence .
Protein interaction mapping: Co-immunoprecipitation to identify binding partners .
Expression profiling: Quantifying protein levels under stress conditions .
Stability: Refolds efficiently after denaturation (common trait in single-domain antibodies) .
Low aggregation: Engineered hydrophilic residues reduce nonspecific binding .
| Feature | YOR316C-A Antibody | Conventional Yeast Antibodies |
|---|---|---|
| Epitope type | Linear | Conformational |
| Production host | Rabbit | Mouse, Chicken |
| Applications | Basic research | Diagnostic assays |
| Commercial suppliers | 1 (Cusabio) | >10 |
YOR316C-A represents a systematic gene designation in Saccharomyces cerevisiae. This gene is part of the yeast genome and is studied in relation to cellular pathways that may involve protein kinases. The YOR316C locus has been investigated in research related to PDK1 orthologs and appears in studies examining cellular signaling pathways in yeast . Antibodies against this protein enable researchers to track its expression, localization, and interactions, providing insights into fundamental yeast cellular biology.
YOR316C-A antibodies are valuable tools in several key research applications:
Protein detection via Western blotting and immunoprecipitation
Subcellular localization studies using immunofluorescence microscopy
Chromatin immunoprecipitation (ChIP) experiments to study protein-DNA interactions
Investigation of protein-protein interactions through co-immunoprecipitation
Quantification of protein expression levels under various experimental conditions
Research with these antibodies helps elucidate various aspects of yeast cellular physiology and stress responses, particularly in studies examining oxidative stress responses and programmed cell death pathways .
Antibody validation is critical for ensuring experimental reliability. For YOR316C-A antibodies, researchers should implement multiple validation approaches:
Genetic validation: Testing the antibody in wild-type versus knockout strains
Peptide competition assays: Pre-incubating antibody with purified antigen peptide
Multiple antibody verification: Using antibodies raised against different epitopes
Mass spectrometry confirmation: Of immunoprecipitated proteins
Western blot analysis: Confirming single band of expected molecular weight
Typical validation protocols involve dilution testing (starting at 1:5000 dilution) and quantitative cell staining analysis across at least 200 individual cells to ensure consistent results .
For optimal Western blot results with YOR316C-A antibodies:
| Parameter | Recommended Condition | Notes |
|---|---|---|
| Antibody Dilution | 1:5000 | May require optimization for specific antibody lots |
| Blocking Solution | 5% BSA in TBS-T | Reduces background signal |
| Incubation Time | Overnight at 4°C | For primary antibody |
| Secondary Antibody | HRP-conjugated anti-species | 1:10000 dilution, 1 hour at room temperature |
| Protein Loading | 20-50 μg per lane | For yeast whole cell extracts |
| Detection Method | Enhanced chemiluminescence | For optimal sensitivity |
When preparing yeast extracts, proper preparation techniques as described in section 2.16 of standard protocols should be followed to ensure consistent protein extraction and reliable Western blot results .
For effective immunofluorescence studies with YOR316C-A antibodies:
Cell fixation: Use 4% paraformaldehyde for 15 minutes, followed by permeabilization with 0.1% Triton X-100
Blocking: Use 3% BSA in PBS for 30 minutes to reduce non-specific binding
Primary antibody: Incubate at 1:200-1:500 dilution overnight at 4°C
Washing steps: Perform 3-5 washes with PBS containing 0.1% Tween-20
Secondary antibody: Use fluorophore-conjugated antibodies at 1:500 dilution for 1 hour
Counterstaining: DAPI for nuclei and appropriate markers for subcellular compartments
Mounting: Use anti-fade mounting medium to preserve fluorescence
Quantification should include analysis of at least 200 individual cells to ensure statistical significance and account for cell-to-cell variation .
YOR316C-A antibodies provide valuable tools for investigating stress response pathways in yeast:
Oxidative stress research: Monitor protein expression changes following ROS accumulation using the dihydrorhodamine 123 (123-DHR) detection method
Heat shock responses: Track protein modification and relocalization during temperature shifts
Programmed cell death (PCD) pathways: Use in combination with TUNEL assays to correlate protein expression with apoptotic markers
Unfolded protein response (UPR): Examine potential involvement in ER stress pathways
MAP kinase pathway activation: Study interactions with stress-activated protein kinases like Slt2
Research has shown that depletion of certain proteins in yeast can lead to ROS accumulation and PCD in a manner independent of the metacaspase Mca1, suggesting complex regulatory networks that can be further elucidated using specific antibodies .
To investigate potential interactions between YOR316C-A and lipid signaling components:
Lipid binding assays: Use purified protein and lipid strips to identify potential interactions with structural and regulatory lipids
Kinase activity assays: Measure effects of specific lipids on kinase activity using appropriate substrates
Domain-specific antibodies: Generate antibodies against specific functional domains to study lipid-binding regions
Mutational analysis: Create point mutations in potential lipid-binding domains and measure effects
Liposome flotation assays: Determine binding affinity to specific lipid compositions
Studies with related yeast kinases have revealed interactions with phosphatidylinositol lipids and sphingolipids that influence their activity and localization, providing a framework for similar investigations with YOR316C-A .
When working with antibodies against yeast proteins in families with high sequence similarity:
Epitope design: Select unique peptide sequences with minimal homology to related proteins
Antibody purification: Implement affinity purification against specific epitopes
Competitive binding assays: Use related peptides to assess cross-reactivity profiles
Genetic controls: Test antibody specificity in strains with deleted or depleted target proteins
Combinatorial approaches: Integrate multiple antibodies with complementary properties
Western blot analysis with gradient gels: To separate closely related proteins with similar molecular weights
For studying PDK1 orthologs and related kinases, careful validation in genetic backgrounds with controlled expression of target proteins is essential to confirm specificity .
For robust quantification of YOR316C-A expression:
Standardized loading controls: Use housekeeping proteins appropriate for the experimental conditions
Multiple biological replicates: Perform at least three independent experiments
Densitometry analysis: Use appropriate software with background subtraction
Normalization approaches:
Normalize to total protein (Ponceau S staining)
Use multiple reference genes when studying stress conditions
Statistical analysis: Apply appropriate tests based on data distribution
Data presentation: Include both representative blots and quantification graphs with error bars
When analyzing expression patterns during stress responses, consider time-course experiments to capture both rapid and delayed changes in protein levels .
For reliable ChIP experiments with YOR316C-A antibodies:
Input control: Analysis of chromatin before immunoprecipitation
No-antibody control: Beads-only precipitation to assess non-specific binding
Isotype control: Irrelevant antibody of the same isotype to evaluate background
Positive control regions: Known binding sites for well-characterized transcription factors
Negative control regions: Genomic regions not expected to be bound
Spike-in normalization: Consider adding exogenous DNA for cross-sample normalization
Validation with tagged strains: Compare results with epitope-tagged versions of the protein
When analyzing ChIP-seq data, incorporate appropriate computational controls and false discovery rate calculations to distinguish genuine binding sites from background signals.
Common immunoprecipitation challenges and solutions:
| Issue | Possible Causes | Solutions |
|---|---|---|
| Poor precipitation efficiency | Insufficient antibody amount, inadequate binding conditions | Titrate antibody concentration, optimize binding buffer composition, increase incubation time |
| High background | Non-specific binding, insufficient washing | Increase blocking reagent concentration, add detergents to wash buffers, perform more stringent washing steps |
| Protein degradation | Protease activity during extraction | Add protease inhibitor cocktail, maintain samples at 4°C, reduce handling time |
| Co-precipitating proteins mask signal | Strong protein-protein interactions | Consider crosslinking approaches, use denaturing conditions if targeting the protein directly |
| Inconsistent results between replicates | Variable extraction efficiency | Standardize cell growth conditions, harvest at consistent cell density, use internal controls |
For challenging applications, consider using magnetic beads rather than agarose/sepharose beads for more efficient washing with reduced background .
Strategies for detecting low-abundance yeast proteins:
Sample enrichment: Use subcellular fractionation to concentrate the compartment of interest
Signal amplification: Employ tyramide signal amplification for immunofluorescence
Protein concentration: Implement TCA precipitation or similar concentration methods
Enhanced detection systems: Use highly sensitive chemiluminescent substrates for Western blots
Optimized extraction: Develop protocol specific for the protein's properties (membrane-associated, nuclear, etc.)
Antibody concentration: Increase concentration while monitoring background
Extended exposure times: With appropriate controls for background
When studying stress-responsive proteins, consider synchronizing cultures and harvesting at peak expression times to maximize detection sensitivity .
Cutting-edge approaches for investigating protein interactions:
Proximity labeling methods: BioID or APEX2 fusion proteins to identify proximal interacting partners
Single-molecule imaging: Track individual molecules in living cells to observe dynamic interactions
Cryo-electron microscopy: Determine structures of protein complexes at near-atomic resolution
Protein complementation assays: Split fluorescent or luminescent reporters to detect interactions in vivo
Crosslinking mass spectrometry: Identify interaction surfaces between proteins
Integrative modeling: Combine multiple data types to build comprehensive interaction networks
These approaches could reveal how YOR316C-A participates in cellular signaling networks, particularly in relation to stress responses and metabolic regulation, building on existing knowledge of yeast signaling pathways .
Evolutionary investigations using YOR316C-A antibodies:
Cross-species reactivity testing: Evaluate antibody binding to orthologs in diverse fungal species
Comparative localization studies: Examine protein distribution patterns across evolutionarily diverse fungi
Functional complementation: Test conservation of biochemical function through heterologous expression
Pathway reconstruction: Map signaling networks across species using ortholog-specific antibodies
Domain-specific antibodies: Target conserved versus divergent regions to understand evolutionary constraints
Such studies could provide insights into the evolution of PDK1-related signaling pathways across fungi, including pathogenic species like Candida albicans, potentially revealing conserved mechanisms that could be targeted for antifungal development .
Key considerations for custom antibody development:
Epitope selection:
Target unique regions with high antigenicity
Consider protein structure and accessibility
Avoid regions with post-translational modifications unless specifically targeting them
Antibody format selection:
Polyclonal: Broader epitope recognition but potential batch variation
Monoclonal: Consistent specificity but narrower epitope recognition
Recombinant: Reproducible production with design flexibility
Validation strategy planning:
Design knockout controls in advance
Plan for multiple validation techniques
Include cross-reactivity testing against related proteins
Application-specific considerations:
ChIP-grade antibodies require testing for native protein recognition
Super-resolution microscopy applications may require specific fluorophore conjugation
Quantitative assays require calibrated standard curves
Collaboration with structural biologists can enhance epitope selection and antibody design .
Multi-omics integration strategies:
Antibody-based ChIP-seq with RNA-seq: Correlate binding sites with transcriptional changes
Immunoprecipitation-mass spectrometry with transcriptomics: Link protein interactions to gene expression patterns
Spatial proteomics using antibody markers with global proteomics: Correlate localization with abundance changes
Phospho-specific antibodies with phosphoproteomics: Target key regulatory events identified in global analyses
Genetic screens combined with antibody-based validation: Confirm functional relationships identified through genomic approaches
This integrated approach has proven valuable in understanding the connections between transcriptional responses to stress conditions and the activation of specific protein kinase pathways in yeast, as demonstrated by studies examining heat shock responses and oxidative stress .