YER130C is a gene encoding a protein in Saccharomyces cerevisiae (baker’s yeast) with limited functional characterization. The YER130C antibody is a reagent developed to detect and study this protein in experimental settings. While the YER130C protein’s biological role remains unclear, studies have utilized this antibody to investigate its expression, interactions, and potential involvement in stress-response pathways .
YER130C antibodies have been employed in protein-bound microarrays to quantify interactions with DNA motifs. Key experimental parameters include:
| Parameter | Details |
|---|---|
| Antibody conjugation | Alexa488 fluorophore |
| Detection method | Fluorescence scanning (488 nm excitation, 522 nm emission) |
| Data analysis | GenePix Pro 6.0 software for spot intensity quantification |
| Scoring metrics | Median Intensity, Z-Score, Enrichment Score (E-Score) |
This approach revealed binding patterns of YER130C-associated proteins to non-palindromic 8-mer DNA sequences .
YER130C antibodies were used to assess the functional homology of Candida albicans transcription factors (CaMsn4, Mnl1) with S. cerevisiae Msn2/Msn4. Key findings include:
CaMsn4 weakly activated the STRE-lacZ reporter in S. cerevisiae msn2 msn4 mutants under galactose induction, suggesting partial functional overlap .
Mnl1 showed no complementation activity, indicating divergence in stress-response mechanisms .
YER130C knockout strains exhibit no obvious growth defects under standard laboratory conditions, complicating functional analysis .
The antibody’s utility lies in tracking protein localization and interactions rather than elucidating direct phenotypic impacts.
Low target characterization: Limited functional annotation of YER130C restricts hypothesis-driven research .
Antibody validation gaps: Few studies report specificity assays (e.g., knockout controls) for YER130C antibodies, raising reproducibility concerns .
KEGG: sce:YER130C
STRING: 4932.YER130C
YER130C is a specific protein found in Saccharomyces cerevisiae (strain ATCC 204508/S288c), commonly known as baker's yeast. The antibody targeting this protein allows researchers to study its expression, localization, and function. When designing experiments with YER130C antibody, researchers should consider the protein's native expression levels, subcellular localization, and potential post-translational modifications. Methodologically, researchers should first validate the antibody's specificity against yeast lysates using Western blot with appropriate positive and negative controls to establish baseline detection parameters before proceeding to more complex applications .
Antibodies against yeast proteins like YER130C are typically generated through hybridoma technology. This process begins with immunizing animals (commonly mice or rabbits) with purified YER130C protein or synthetic peptides corresponding to unique epitopes. The B cells that produce antibodies against the target are then fused with immortalized myeloma cells to create hybridomas that can produce unlimited amounts of monoclonal antibodies with consistent specificity .
Validation requires multiple approaches:
Western blotting with wild-type and YER130C knockout yeast strains
Immunoprecipitation followed by mass spectrometry
Immunofluorescence comparing localization patterns with GFP-tagged versions
Flow cytometry to assess binding to intact yeast cells
Cross-reactivity testing against related yeast species and closely related proteins is essential to confirm specificity. Researchers should examine binding affinity measurements, which for high-quality antibodies typically reach 10^-9 to 10^-11 M ranges, similar to well-characterized therapeutic antibodies like porustobart .
When designing flow cytometry experiments with YER130C antibody, several methodological considerations are essential:
Cell wall permeabilization: Yeast cells require special permeabilization protocols (typically using zymolyase or lyticase) to allow antibody access to intracellular targets
Fluorophore selection: Choose fluorophores with minimal spectral overlap with yeast autofluorescence
Binding validation: Validate antibody binding by comparing fluorescence signals from wild-type and YER130C mutant strains
For optimal sorting results, fluorescence-activated cell sorting (FACS) parameters should be established by:
Titrating antibody concentrations (typically 1-10 μg/mL)
Optimizing incubation conditions (time and temperature)
Establishing appropriate gating strategies based on controls
This approach allows for isolation of cell populations with varying levels of YER130C expression, enabling subsequent molecular and functional analyses .
Rigorous validation of YER130C antibody specificity requires a multi-faceted approach:
Genetic controls: Compare antibody reactivity between wild-type yeast and YER130C deletion strains
Epitope competition: Pre-incubate antibody with purified antigen or immunizing peptide before detection
Cross-reactivity assessment: Test against related yeast proteins and species
Multiple detection methods: Validate using Western blot, immunoprecipitation, and immunofluorescence
For Western blot validation, researchers should:
Run multiple concentrations of yeast lysates
Include positive controls (purified YER130C protein)
Include negative controls (lysates from YER130C knockout strains)
Test multiple antibody dilutions to determine optimal signal-to-noise ratio
This systematic approach ensures that observed signals genuinely represent YER130C rather than non-specific binding or cross-reactivity with related proteins .
Optimized immunoprecipitation (IP) protocols for YER130C antibody should address the unique challenges of yeast cell experiments:
Lysis buffer optimization:
50 mM Tris-HCl (pH 7.5)
150 mM NaCl
0.1% NP-40
1 mM EDTA
Protease inhibitor cocktail
1 mM PMSF
Cell disruption method:
Glass bead lysis for 5-6 cycles (30 seconds on/30 seconds off) at 4°C
Alternatively, cryogenic grinding in liquid nitrogen
Antibody coupling:
Direct coupling to protein A/G beads (2-5 μg antibody per 25 μL bead slurry)
Cross-linking with dimethyl pimelimidate (DMP) to prevent antibody co-elution
IP conditions:
Incubate lysate with antibody-coupled beads for 2-4 hours at 4°C
Wash 4-5 times with lysis buffer
Elute with either low pH buffer or SDS sample buffer
This methodology ensures efficient capture of YER130C protein while minimizing non-specific binding, which is particularly important when studying protein-protein interactions in yeast systems .
Optimizing immunofluorescence protocols for YER130C requires addressing the challenges of yeast cell wall permeabilization while preserving cellular architecture:
Fixation and permeabilization:
Fix cells with 4% formaldehyde for 30 minutes
Digest cell wall with zymolyase (100 μg/mL) for 20-30 minutes at 30°C
Permeabilize with 0.1% Triton X-100 for 5 minutes
Blocking and antibody incubation:
Block with 2% BSA in PBS for 1 hour
Incubate with YER130C antibody (1:100-1:500 dilution) overnight at 4°C
Wash 3 times with PBS-T (PBS + 0.1% Tween-20)
Incubate with fluorophore-conjugated secondary antibody for 1 hour at room temperature
Mounting and imaging considerations:
Use anti-fade mounting medium with DAPI for nuclear counterstaining
Capture Z-stack images (0.2-0.3 μm intervals) for 3D reconstruction
Include co-localization markers for subcellular compartments
Controls and validation:
YER130C deletion strain (negative control)
YER130C-GFP fusion strain (positive control)
Primary antibody omission control
This comprehensive approach allows accurate determination of YER130C subcellular localization while minimizing artifacts commonly encountered in yeast immunofluorescence studies .
When analyzing YER130C antibody binding data, robust statistical approaches must be employed:
Binding affinity determination:
Use non-linear regression for Scatchard plot analysis
Calculate KD values using one-site or two-site binding models
Employ statistical tests (F-test) to determine the best-fitting model
Western blot quantification:
Use densitometry with multiple technical replicates (n≥3)
Apply normalization to loading controls (e.g., PGK1, TDH3)
Employ one-way ANOVA with post-hoc tests for comparing multiple conditions
Flow cytometry data analysis:
Calculate median fluorescence intensity (MFI) rather than mean values
Apply appropriate transformations (biexponential) for comparing populations
Use Kolmogorov-Smirnov test for comparing distribution shifts
Immunofluorescence quantification:
Perform Pearson or Manders correlation coefficients for co-localization
Use Ripley's K function for spatial distribution analysis
Apply bootstrapping approaches for confidence interval determination
These statistical methods ensure rigorous interpretation of YER130C antibody data while accounting for biological and technical variability .
When faced with contradictory results in YER130C antibody experiments, researchers should implement a systematic troubleshooting approach:
Technical validation:
Repeat experiments with fresh reagents and independently prepared samples
Test alternative antibody lots or clones against the same target
Vary experimental conditions (buffer compositions, incubation times)
Biological context assessment:
Evaluate cell growth phase effects on YER130C expression
Test multiple yeast strains and growth conditions
Consider post-translational modifications that might affect epitope recognition
Complementary methodology:
Compare antibody-based results with orthogonal approaches (GFP tagging, mass spectrometry)
Validate findings using genetic manipulations (knockout, overexpression)
Perform epitope mapping to identify potential issues with antibody recognition sites
Data integration framework:
Create a decision matrix weighing evidence from multiple experimental approaches
Identify patterns in contradictory data that might reveal biological complexity
Consider developing mathematical models to reconcile apparently conflicting observations
This structured approach helps distinguish genuine biological phenomena from technical artifacts when interpreting complex datasets generated with YER130C antibody .
When comparing YER130C expression across various experimental conditions, researchers should consider several methodological aspects:
Sample normalization strategies:
| Normalization Method | Advantages | Limitations |
|---|---|---|
| Total protein loading | Simple, widely applicable | May vary with treatment conditions |
| Housekeeping proteins | Established methodology | Can vary under stress conditions |
| Spike-in controls | High accuracy | Requires additional reagents |
| Global normalization | Accounts for proteome-wide changes | Requires advanced instrumentation |
Technical considerations:
Use identical sample preparation protocols across conditions
Process all samples in parallel to minimize batch effects
Include gradient-loaded standard curves for quantitative comparisons
Apply appropriate transformations based on data distribution
Biological variability management:
Use sufficient biological replicates (minimum n=3, preferably n≥5)
Account for cell cycle effects on YER130C expression
Consider strain background influences on expression patterns
Evaluate metabolic state effects on protein stability and turnover
Data presentation:
Report raw data alongside normalized values
Include appropriate statistical measures (confidence intervals, p-values)
Visualize data using box plots or violin plots rather than simple bar graphs
Provide access to complete datasets for independent validation
These approaches ensure robust and reproducible comparisons of YER130C expression across diverse experimental conditions .
Researchers can employ several advanced methodologies with YER130C antibody to study protein-protein interactions:
Co-immunoprecipitation (Co-IP) optimization:
Use gentle lysis conditions to preserve native complexes
Cross-link interacting proteins (formaldehyde or DSP) for transient interactions
Optimize salt and detergent concentrations to balance specificity and yield
Implement two-step purification (tandem affinity purification) for enhanced specificity
Proximity-based labeling approaches:
Combine YER130C antibody with BioID or APEX2 proximity labeling
Use antibody to validate proximity labeling results
Develop split-BioID systems with YER130C-fusion proteins
Combine with mass spectrometry for systematic interaction mapping
In situ interaction analysis:
Apply proximity ligation assay (PLA) with YER130C antibody
Optimize signal amplification parameters for yeast cell applications
Use FRET or FLIM-FRET with antibody-conjugated fluorophores
Develop super-resolution microscopy protocols compatible with YER130C antibody
Dynamic interaction monitoring:
Implement real-time co-IP approaches for temporal interaction studies
Develop fluorescence correlation spectroscopy protocols
Apply single-molecule tracking with antibody fragments
Use microfluidic approaches for rapid condition changes
These methodologies enable comprehensive characterization of YER130C protein interaction networks across different cellular conditions and states .
To study post-translational modifications (PTMs) of YER130C using antibody-based techniques, researchers should consider these specialized approaches:
PTM-specific antibody development and validation:
Generate phospho-specific, ubiquitin-specific, or other PTM-specific antibodies
Validate specificity using dephosphorylation assays or deubiquitination treatments
Confirm specificity with mutagenesis of predicted modification sites
Develop quantitative assays for modification stoichiometry determination
Enrichment strategies for modified forms:
Implement phosphopeptide enrichment (TiO2, IMAC) prior to antibody-based detection
Use ubiquitin remnant motif antibodies for ubiquitination site mapping
Apply sequential immunoprecipitation strategies for multiply-modified forms
Develop fractionation protocols optimized for modified YER130C variants
Temporal dynamics analysis:
Design time-course experiments with synchronized yeast cultures
Implement rapid lysis techniques to preserve labile modifications
Develop phosphatase/deubiquitinase inhibitor cocktails optimized for yeast
Combine with targeted mass spectrometry for absolute quantification
Functional correlation approaches:
Correlate modification patterns with YER130C localization changes
Assess modification-dependent protein-protein interactions
Develop activity assays to correlate modifications with functional states
Implement genetic approaches to prevent or mimic modifications
These specialized techniques allow researchers to dissect the complex landscape of YER130C post-translational modifications and their functional consequences .
Using YER130C antibody for evolutionary studies across yeast species requires careful methodological considerations:
Cross-reactivity assessment and optimization:
Test antibody recognition against predicted homologs in related species
Identify conserved epitopes through sequence alignment and structural prediction
Optimize antibody concentrations for each species individually
Develop species-specific detection protocols based on epitope conservation
Comparative expression analysis:
Standardize lysate preparation across diverse yeast species
Develop calibration curves for each species to enable quantitative comparisons
Account for codon usage bias effects on protein abundance
Normalize against multiple conserved reference proteins
Functional conservation assessment:
Compare subcellular localization patterns across species
Analyze protein-protein interaction networks in multiple yeasts
Assess condition-dependent expression changes in diverse species
Correlate expression patterns with species-specific phenotypes
Experimental evolution approaches:
Monitor YER130C expression changes during laboratory evolution
Assess antibody binding to evolving populations over time
Develop protocols for tracking expression in hybrid or chimeric yeast strains
Combine with genomic analyses to correlate sequence and expression evolution
This comprehensive methodology enables researchers to leverage YER130C antibody for understanding protein evolution across fungal phylogeny .
Researchers commonly encounter several technical challenges when working with YER130C antibody:
High background signal in Western blots:
Increase blocking time (overnight at 4°C with 5% BSA)
Try alternative blocking agents (milk vs. BSA vs. casein)
Increase wash duration and volume (5× 10-minute washes)
Optimize antibody dilution through systematic titration
Pre-adsorb antibody with yeast lysate from YER130C knockout strain
Poor signal in immunofluorescence:
Optimize cell wall digestion (test multiple zymolyase concentrations)
Try alternative fixation methods (methanol vs. formaldehyde)
Implement antigen retrieval protocols (mild heat treatment)
Use signal amplification systems (tyramide signal amplification)
Extend primary antibody incubation time (up to 48 hours at 4°C)
Inconsistent immunoprecipitation results:
Test different lysis buffers varying in ionic strength and detergent content
Pre-clear lysates with protein A/G beads before immunoprecipitation
Cross-link antibody to beads to prevent co-elution
Include competitors for non-specific interactions (0.1-0.5% BSA)
Implement stringent wash protocols with increasing salt concentrations
Batch-to-batch variability:
Establish internal reference standards for each new antibody lot
Create standard curves with purified antigen for quantitative normalization
Maintain detailed records of antibody performance across experiments
Consider monoclonal alternatives if polyclonal variability is problematic
These troubleshooting approaches systematically address the most common technical challenges encountered when working with YER130C antibody in various experimental contexts .
Ensuring reproducibility in YER130C antibody-based research requires implementing several methodological best practices:
Antibody validation and documentation:
Document complete antibody information (source, lot, clone)
Perform independent validation for each new lot received
Maintain detailed protocols for all validation experiments
Share validation data through open repositories or supplementary materials
Experimental design considerations:
Implement randomization and blinding where appropriate
Calculate appropriate sample sizes through power analysis
Include all relevant controls in each experimental run
Standardize protocols across experimental batches
Data processing standardization:
Document all image acquisition parameters
Use consistent analysis workflows for all datasets
Implement automated analysis pipelines to reduce subjective bias
Retain raw data alongside processed results
Reporting and transparency:
| Reproducibility Element | Implementation Strategy |
|---|---|
| Reagent documentation | Report catalog numbers, lot numbers, validation data |
| Protocol sharing | Provide detailed, step-by-step protocols in methods |
| Data availability | Deposit raw data in appropriate repositories |
| Analysis transparency | Share analysis code and parameters |
| Limitation acknowledgment | Discuss known limitations and failed approaches |
These practices ensure that research conducted with YER130C antibody can be reliably reproduced across different laboratories and experimental conditions .
Essential control experiments for YER130C antibody studies include:
Genetic controls:
YER130C knockout strain (negative control)
YER130C overexpression strain (positive control)
Tagged YER130C strain (epitope tag validation)
Rescue experiments in knockout backgrounds
Antibody specificity controls:
Primary antibody omission
Isotype-matched irrelevant antibody
Antibody pre-absorption with immunizing peptide
Competitive binding with purified antigen
Technical validation controls:
Serial dilution series for linearity assessment
Loading controls for normalization
Inter-assay calibration standards
Process controls (samples processed identically except for one variable)
Application-specific controls:
For immunoprecipitation: IgG control, input sample
For immunofluorescence: Autofluorescence control, secondary-only control
For Western blotting: Molecular weight markers, cross-reactivity panel
For flow cytometry: Unstained cells, single-color controls, FMO controls