Gene: YDL199C (PUG1)
Organism: Saccharomyces cerevisiae
Function: Facilitates porphyrin and heme transport, particularly under anaerobic conditions .
Localization: Likely membrane-associated, given its role in transport .
The YDL199C Antibody typically recognizes epitopes within the protein’s variable domains. For example, in studies using S. cerevisiae, anti-c-Myc antibodies (e.g., 9E10) are employed to detect Myc-tagged YDL199C fusion proteins . This approach leverages the antibody’s complementarity-determining regions (CDRs) to bind epitopes with high specificity .
YDL199C Antibodies are validated in standardized workflows, including:
Western Blotting: Used to confirm protein expression levels in yeast lysates .
Immunofluorescence: Localizes YDL199C in fixed and permeabilized cells .
Sucrose Gradient Centrifugation: Assists in membrane protein fractionation studies .
YDL199C Antibody data may be cataloged in specialized repositories:
PLAbDab: Tracks ~150,000 antibody sequences, including yeast-derived entries .
AbDb: Annotates antibody-antigen complexes from the PDB, useful for structural insights .
Immunogenicity: Non-human sequences in hybridoma-derived antibodies may require humanization .
Epitope Accessibility: Membrane-associated targets like YDL199C necessitate optimized permeabilization protocols .
KEGG: sce:YDL199C
STRING: 4932.YDL199C
YDL199C is a protein-coding gene in Saccharomyces cerevisiae (baker's yeast), specifically found in the reference strain ATCC 204508/S288c. The antibody against this protein is crucial for researchers studying yeast cellular processes. While YDL199C's complete function remains under investigation, antibodies targeting this protein allow researchers to track its expression, localization, and interactions within the yeast cellular environment. Unlike antibodies targeting human proteins that may have therapeutic applications, YDL199C antibody is primarily a research tool for understanding fundamental yeast biology .
The commercially available YDL199C antibody (CSB-PA614219XA01SVG) is a rabbit-raised polyclonal antibody that specifically reacts with Saccharomyces cerevisiae strain ATCC 204508/S288c. It is produced using recombinant YDL199C protein as the immunogen and is supplied in liquid form. The antibody is purified using antigen affinity methods, which enhances its specificity compared to crude serum preparations. The storage buffer consists of 50% glycerol, 0.01M PBS at pH 7.4, with 0.03% Proclin 300 as a preservative .
For long-term storage, YDL199C antibody should be kept at -20°C or -80°C immediately upon receipt. Repeated freeze-thaw cycles significantly degrade antibody performance, so aliquoting into single-use volumes before freezing is recommended. This approach prevents degradation of the antibody structure that can compromise experimental results. When handling the antibody, it should be kept on ice and returned to proper storage promptly to maintain its binding capacity and specificity .
YDL199C antibody has been validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blotting (WB) applications. These techniques allow researchers to detect and quantify YDL199C protein in various yeast samples. For novel applications beyond these validated methods, researchers should conduct preliminary validation experiments. Similar to validation approaches used for other antibodies, appropriate positive and negative controls should be included to confirm specificity before proceeding with experimental samples .
The recommended Western blot protocol for YDL199C antibody follows standard procedures with specific optimizations:
Sample preparation: Extract yeast proteins using glass bead lysis in buffer containing protease inhibitors
SDS-PAGE: Separate proteins on 10-12% gels (adjust percentage based on YDL199C's ~35kDa size)
Transfer: Use PVDF membrane with standard transfer buffer (25mM Tris, 192mM glycine, 20% methanol)
Blocking: Block with 5% non-fat milk in TBST for 1 hour at room temperature
Primary antibody: Dilute YDL199C antibody 1:500-1:2000 in blocking buffer and incubate overnight at 4°C
Washing: Wash 3-5 times with TBST, 5 minutes each
Secondary antibody: Anti-rabbit HRP-conjugated secondary at 1:5000 for 1 hour at room temperature
Signal development: Use ECL reagent and expose to X-ray film or digital imager
This protocol is similar to those used for other polyclonal antibodies in research settings, but optimization of antibody dilution and incubation times may be necessary for specific experimental conditions .
For optimizing ELISA protocols with YDL199C antibody, researchers should consider a sandwich ELISA approach similar to those used in other antibody studies:
Coating: Coat 96-well plates with capture antibody (1-5 μg/ml) in carbonate buffer (pH 9.6) overnight at 4°C
Blocking: Block with 1-3% BSA or 5% non-fat milk in PBS for 1-2 hours at room temperature
Sample addition: Add samples and standards in dilution buffer, incubate 1-2 hours at room temperature
Detection antibody: Add diluted YDL199C antibody (typically 1:1000-1:5000) and incubate for 1-2 hours
Secondary antibody: Add HRP-conjugated anti-rabbit antibody (1:5000) for 1 hour
Substrate reaction: Add TMB substrate and stop with H₂SO₄ after sufficient color development
Measurement: Read absorbance at 450nm with 570nm reference
Testing multiple antibody dilutions in a preliminary experiment helps identify optimal conditions. For quantitative analysis, include a standard curve using purified recombinant YDL199C protein at concentrations ranging from 0-1000 ng/ml .
To validate YDL199C antibody specificity, employ these research-validated approaches:
Genetic controls: Test the antibody in YDL199C knockout yeast strains, which should show no signal
Competing peptide/protein: Pre-incubate antibody with excess recombinant YDL199C protein to block specific binding sites
Multiple antibody comparison: If available, compare results with other YDL199C antibodies targeting different epitopes
Mass spectrometry validation: Perform immunoprecipitation followed by mass spectrometry to confirm target identity
Signal correlation: Compare protein levels with mRNA expression data from RT-PCR or RNA-seq
These validation steps establish confidence in experimental results and should be documented in publications. Similar approaches have been successfully employed to validate antibody specificity in studies of other systems, as demonstrated in studies of therapeutic antibodies .
Common causes of misleading results with YDL199C antibody include:
False Positives:
Cross-reactivity with homologous proteins in yeast or contaminating proteins
Non-specific binding to high-abundance proteins
Inappropriate blocking conditions allowing non-specific interactions
Secondary antibody binding directly to yeast proteins
Sample contamination during processing
False Negatives:
Protein denaturation affecting epitope recognition
Insufficient antigen exposure due to inadequate membrane blocking
Antibody degradation from improper storage or handling
Buffer incompatibility affecting antibody binding
Target protein masked by interacting partners
To minimize these issues, researchers should include appropriate controls, optimize experimental conditions, and validate results using complementary methods. Similar challenges have been documented in antibody-based detection systems across various research contexts .
When facing inconsistent results with YDL199C antibody, systematic troubleshooting is essential:
Reagent quality assessment:
Check antibody lot consistency and age
Prepare fresh buffers and blocking solutions
Verify sample integrity through total protein staining
Protocol optimization:
Adjust antibody concentration through titration experiments
Modify incubation times and temperatures
Test different blocking agents (BSA, casein, commercial blockers)
Signal enhancement strategies:
Employ more sensitive detection systems (enhanced chemiluminescence)
Use signal amplification methods (biotin-streptavidin systems)
Consider longer exposure times for Western blots
Sample preparation refinement:
Test different lysis methods to improve protein extraction
Include additional protease inhibitors
Optimize protein denaturation conditions
Documenting all experimental conditions systematically helps identify variables affecting reproducibility. This methodical approach to troubleshooting has been effective in resolving inconsistencies in antibody-based research across different biological systems .
Adapting YDL199C antibody for immunoprecipitation (IP) requires specific optimization strategies:
Antibody coupling to solid support:
Covalently couple antibody to protein A/G beads or magnetic beads
Use commercial cross-linking reagents (e.g., BS3 or DSS) to prevent antibody leaching
Optimize antibody:bead ratio through titration experiments
Sample preparation:
Use gentle lysis buffers to preserve protein-protein interactions
Include appropriate detergents (0.1-0.5% NP-40 or Triton X-100)
Implement pre-clearing with protein A/G beads to reduce non-specific binding
Immunoprecipitation protocol:
Incubate lysate with antibody-coupled beads for 2-16 hours at 4°C
Perform stringent washing (3-5 washes) with decreasing detergent concentrations
Elute bound proteins with gentle conditions for downstream analysis
Validation approaches:
Confirm pulled-down protein by Western blot and/or mass spectrometry
Include IgG control and input samples for comparison
Use YDL199C knockout strains as negative controls
These approaches follow established principles for adapting antibodies to IP applications, similar to methods used in studies of therapeutic antibodies against viral targets .
For studying YDL199C protein-protein interactions, several methodological considerations are critical:
Interaction preservation:
Use chemical crosslinking agents (formaldehyde, DSP) to stabilize transient interactions
Optimize lysis conditions to maintain complex integrity
Consider native PAGE for analyzing intact complexes
Co-immunoprecipitation design:
Implement reciprocal co-IP experiments to confirm interactions
Use tagged versions of putative interacting partners for verification
Include appropriate controls for non-specific binding
Advanced interaction mapping:
Apply proximity-based labeling methods (BioID, APEX)
Consider yeast two-hybrid screening for systematic interaction discovery
Implement mass spectrometry-based approaches for unbiased interaction profiling
Functional validation:
Assess interaction significance through mutational analysis
Evaluate phenotypic consequences of disrupting interactions
Correlate interaction dynamics with cellular processes
These methodological considerations parallel approaches used in antibody research for other systems, adapting established principles to the specific context of yeast protein interaction studies .
Computational approaches can significantly enhance YDL199C antibody research through:
Epitope prediction and analysis:
Identify potential antigenic determinants on YDL199C protein
Predict epitope accessibility in native protein conformations
Map conservation of epitopes across related yeast species
Active learning for experimental design:
Apply machine learning algorithms to prioritize experimental conditions
Reduce experimental iterations through predictive modeling
Improve out-of-distribution prediction for novel variants
Cross-reactivity assessment:
Identify proteins with similar epitope structures across species
Predict potential off-target binding based on sequence homology
Evaluate impact of mutations on antibody binding
Structure-function relationship analysis:
Model antibody-antigen binding interfaces
Predict functional consequences of antibody binding
Design experiments to target specific protein domains
These computational approaches, similar to those used in therapeutic antibody development, can accelerate research by prioritizing the most promising experimental directions and providing mechanistic insights into antibody-antigen interactions .
| Computational Method | Application to YDL199C Research | Potential Benefit |
|---|---|---|
| Sequence-based epitope prediction | Identify antigenic regions | Improve antibody design and selection |
| AlphaFold structural prediction | Model YDL199C protein structure | Understand epitope accessibility |
| Bayesian optimization | Optimize experimental conditions | Reduce number of required experiments |
| Machine learning classification | Predict antibody binding | Accelerate screening of variants |
| Network analysis | Map protein interaction networks | Contextualize YDL199C function |
Emerging techniques for single-cell analysis of YDL199C include:
Antibody-based imaging methods:
Super-resolution microscopy for precise localization
Expansion microscopy for enhanced spatial resolution
Correlative light and electron microscopy for ultrastructural context
Single-cell protein quantification:
Mass cytometry (CyTOF) for high-dimensional protein profiling
Microfluidic antibody capture for quantitative analysis
Single-cell Western blotting for protein size verification
In situ detection methods:
Proximity ligation assay for protein-protein interactions
Antibody-based RNA-protein co-detection
Multiplexed ion beam imaging for spatial proteomics
Temporal dynamics analysis:
Live-cell imaging with fluorescent antibody fragments
Optogenetic tools combined with antibody detection
Microfluidic systems for tracking protein expression over time
These emerging techniques can reveal cell-to-cell variability in YDL199C expression and localization that may be masked in population-level studies. Similar approaches have advanced understanding of heterogeneity in antibody responses to viral infections .
Essential controls for YDL199C antibody experiments include:
Genetic controls:
YDL199C knockout strain (negative control)
YDL199C overexpression strain (positive control)
Wild-type strain for baseline expression
Antibody controls:
Isotype control (non-specific rabbit IgG)
Secondary antibody-only control
Peptide competition control
Sample processing controls:
Loading control (housekeeping protein)
Total protein stain (Ponceau S or SYPRO Ruby)
Sample preparation replicate
Technical validation:
Biological replicates (n ≥ 3)
Technical replicates for each measurement
Standard curve for quantitative assays
Implementing these controls ensures experimental rigor and allows proper interpretation of results by distinguishing specific signals from background or artifacts. This approach reflects best practices in antibody-based research established across various experimental systems .
To study YDL199C expression under stress conditions, implement the following experimental design:
Stress condition selection and optimization:
Test multiple stressors (oxidative, heat, osmotic, nutrient deprivation)
Establish dose-response relationships for each stressor
Determine time course dynamics (immediate, intermediate, long-term responses)
Comprehensive experimental matrix:
| Stress Type | Concentrations/Conditions | Time Points | Replicates |
|---|---|---|---|
| Oxidative (H₂O₂) | 0, 0.5, 1, 2, 5 mM | 15, 30, 60, 120 min | n=3 |
| Heat Shock | 25°C, 30°C, 37°C, 42°C | 15, 30, 60, 120 min | n=3 |
| Osmotic (NaCl) | 0, 0.4, 0.8, 1.2 M | 15, 30, 60, 120 min | n=3 |
| Nutrient Starvation | Complete, -N, -C, -P | 1, 3, 6, 24 hours | n=3 |
Multi-level analysis approach:
Protein expression (Western blot with YDL199C antibody)
Subcellular localization (immunofluorescence)
Protein-protein interactions (co-immunoprecipitation)
Correlation with mRNA levels (RT-qPCR)
Data integration and interpretation:
Normalize expression to appropriate controls
Perform statistical analysis across conditions
Create integrated heatmaps and principal component analysis
Validate key findings with orthogonal methods
This comprehensive experimental design allows for systematic characterization of YDL199C's role in stress responses and follows similar approaches used in studies of antibody-antigen interactions in other systems .
YDL199C antibody research shares methodological principles with antibody research in other systems, but with distinct contextual differences:
Methodological similarities:
Basic validation principles apply across systems
Similar technical approaches (Western blot, ELISA, IP)
Comparable troubleshooting strategies
Model-specific considerations:
Yeast cell wall requires specialized lysis techniques
Lower protein abundance may necessitate different detection strategies
Fewer cross-reactivity concerns due to simpler proteome
Research application differences:
Mammalian antibody research often has therapeutic applications
Human antibody research frequently focuses on disease biomarkers
YDL199C research primarily advances fundamental understanding
Technical comparison:
| Aspect | YDL199C (Yeast) Antibody Research | Mammalian Antibody Research |
|---|---|---|
| Target Complexity | Lower proteome complexity | Higher proteome complexity |
| Post-translational Modifications | Fewer modifications | Extensive modifications |
| Lysis Conditions | Requires harsh conditions | Gentler lysis often sufficient |
| Applications | Primarily basic research | Research and therapeutic |
| Validation Standards | Similar core principles | May include in vivo validation |
Understanding these comparisons helps researchers adapt methodologies from other antibody research contexts while recognizing the unique aspects of yeast-specific research .
Several methodological advances from therapeutic antibody research can enhance YDL199C studies:
Epitope mapping techniques:
Hydrogen-deuterium exchange mass spectrometry for identifying binding sites
Cryo-electron microscopy for structural characterization
Peptide arrays for fine epitope mapping
Affinity measurement approaches:
Surface plasmon resonance for binding kinetics
Bio-layer interferometry for real-time interaction analysis
Isothermal titration calorimetry for thermodynamic parameters
Specificity enhancement strategies:
Affinity maturation principles for improved antibody design
Engineered antibody fragments for enhanced penetration
Computational design for increased specificity
Functional characterization methods:
Neutralization assays adapted to yeast systems
Quantitative binding measurements across conditions
Structure-function correlation analyses
These approaches can significantly enhance YDL199C antibody research by applying rigorous methodologies developed in therapeutic contexts to fundamental research questions. The YYDRxG motif analysis from therapeutic antibody research exemplifies how structural and sequence-based approaches can provide deeper insights into antibody function .
Recent methodological advances with potential application to YDL199C research include:
Advanced screening technologies:
Machine learning-guided antibody selection
Active learning for optimizing experimental design
High-throughput surface display screening
Structural biology integration:
AlphaFold-based structural prediction for epitope mapping
Cryo-EM for visualizing antibody-antigen complexes
Molecular dynamics simulations of binding interactions
Single-molecule techniques:
Single-molecule FRET for conformational dynamics
Optical tweezers for measuring binding forces
Single-molecule tracking in live cells
Multi-omics integration:
Antibody-based proteomics combined with transcriptomics
Integration of structural data with functional assays
Systems biology approaches to contextualize findings