YGL015C Antibody (Catalog #883923) is a monoclonal antibody produced by CUSABIO, an antibody manufacturer. Key features include:
Target: Unspecified antigen associated with the YGL015C gene locus (presumed to be a yeast gene based on nomenclature conventions).
Host Species: Mouse (likely, given standard CUSABIO production workflows).
Applications: Presumed use in techniques such as Western Blot (WB) or Immunohistochemistry (IHC), though validation data are not publicly disclosed.
YGL015C Gene: In Saccharomyces cerevisiae (budding yeast), YGL015C is an uncharacterized open reading frame (ORF) with no confirmed biological function as of 2025.
Antibody Utility: Antibodies against uncharacterized yeast genes like YGL015C are typically used in exploratory research to localize gene products or assess expression patterns under specific conditions (e.g., stress, mutations).
No published studies utilizing this antibody were identified in PubMed, Google Scholar, or institutional repositories.
Validation Data: CUSABIO’s product page lacks experimental evidence (e.g., knockout validation, cross-reactivity tests), which is critical for assessing reliability.
Epitope Specificity: The target epitope and immunogen sequence are undisclosed, raising concerns about specificity.
To address these gaps, researchers should:
Request Validation Data: Contact CUSABIO directly for application-specific protocols and positive/negative controls.
Perform Independent Validation: Conduct Western Blots using yeast lysates with YGL015C knockout strains to confirm specificity.
Explore Alternatives: Compare with antibodies from other vendors targeting orthologous proteins in model organisms.
YGL015C is a putative protein of unknown function identified in yeast genomic studies. The development and use of antibodies against YGL015C are critical for characterizing this protein's function, localization, and interactions. According to genomic analyses, YGL015C has been studied in contexts related to oxidative stress tolerance pathways, where it may play a role in cellular defense mechanisms . Antibodies against this protein enable researchers to investigate its expression patterns, cellular localization, and potential functional roles through techniques such as western blotting, immunohistochemistry, and immunoprecipitation.
Validation of YGL015C antibodies is essential before experimental use to ensure specificity and reliability. A comprehensive validation approach should include:
Knockout/knockdown controls: Testing the antibody against samples where YGL015C has been deleted or silenced is the gold standard for validation. A specific antibody should show no signal in these samples .
Overexpression controls: Complementary to knockout validation, testing in cells overexpressing YGL015C should show increased signal intensity.
Western blot analysis: Confirm the antibody detects a protein of the expected molecular weight.
Cross-reactivity testing: Test against samples from different species or closely related proteins to ensure specificity.
Multiple technique validation: Verify performance across different applications (western blot, IHC, IP) if the antibody will be used for multiple techniques.
Studies have shown that inadequately validated antibodies contribute significantly to research irreproducibility, with one study finding that only about 48% of commercially available antibodies specifically recognized their intended targets .
| Characteristic | Monoclonal YGL015C Antibodies | Polyclonal YGL015C Antibodies |
|---|---|---|
| Specificity | Higher - recognizes single epitope | Lower - recognizes multiple epitopes |
| Batch-to-batch variation | Minimal | Significant |
| Production complexity | Higher - requires hybridoma technology | Lower - animal immunization |
| Signal strength | Potentially lower | Often stronger due to multiple binding sites |
| Epitope accessibility | May be affected by protein conformation | Better for denatured proteins due to multiple epitopes |
| Performance in applications | More consistent across experiments | Variable between batches |
| Cost | Generally higher | Generally lower |
Research shows that recombinant antibodies often outperform traditional monoclonal and polyclonal antibodies in validation tests, with only about one-third of traditional antibodies recognizing their target in the applications they were recommended for . When selecting an antibody for YGL015C research, consider the specific application requirements and the importance of reproducibility in your experimental design.
For rigorous YGL015C antibody experiments, incorporate these essential controls:
Positive controls: Include samples known to express YGL015C. For yeast studies, wild-type strains with confirmed YGL015C expression serve as positive controls.
Negative controls:
Genetic: Use YGL015C knockout/knockdown samples
Technical: Include secondary-only controls to assess non-specific binding
Peptide competition: Pre-incubate antibody with immunizing peptide to block specific binding
Loading/procedural controls: Include housekeeping protein detection (e.g., actin) to normalize for loading variations .
Isotype controls: For immunostaining, include isotype-matched irrelevant antibodies to assess background staining.
Cross-reactivity controls: Test closely related proteins to ensure specificity.
When designing controls, consider that third-party validations have shown that antibodies can fail even when manufacturer validation appears strong. A comprehensive study found that antibodies failing third-party validation had been used in hundreds of studies, potentially compromising research reliability .
Optimizing YGL015C antibody concentration for western blotting requires systematic titration:
Initial titration: Test a broad range of dilutions (e.g., 1:100, 1:500, 1:1000, 1:5000) against a positive control sample.
Fine-tuning: Based on initial results, narrow the range to find the optimal signal-to-noise ratio.
Blocking optimization: Test different blocking reagents (BSA, non-fat milk, commercial blockers) as some antibodies perform better with specific blockers.
Incubation conditions: Optimize both primary antibody incubation time (1 hour at room temperature vs. overnight at 4°C) and temperature.
Detection system adjustment: Adjust exposure times for chemiluminescence or laser intensity for fluorescent detection systems.
When analyzing results, look for:
Clean background with minimal non-specific bands
Strong, specific signal at the expected molecular weight
Consistent results across replicates
Remember that optimal concentration may vary between applications, and what works for western blotting may not be ideal for immunohistochemistry or immunoprecipitation9.
Effective sample preparation is critical for optimal YGL015C detection:
Lysis buffer selection: For yeast proteins like YGL015C, use buffers containing mild detergents (0.1-1% Triton X-100 or NP-40) supplemented with protease inhibitors. Studies indicate that YGL015C may be sensitive to oxidative stress conditions, so include antioxidants like DTT or β-mercaptoethanol in your buffer system .
Cell disruption method:
For yeast: Glass bead lysis or enzymatic cell wall digestion followed by gentle lysis
For mammalian cells expressing recombinant YGL015C: Standard RIPA or NP-40 buffer protocols
Protein denaturation: Test both denaturing (with SDS and heat) and native conditions, as antibody epitope accessibility may differ.
Fixation for microscopy:
For immunofluorescence: Test both paraformaldehyde (preserves structure) and methanol (better for some epitopes)
For immunohistochemistry: Optimize fixation time carefully, as overfixation can mask epitopes
Antigen retrieval: For fixed tissues, determine if heat-induced or enzyme-based epitope retrieval methods improve antibody access to YGL015C.
Research suggests that improper sample preparation accounts for approximately 20-30% of antibody detection failures, even when the antibody itself is high quality .
Co-immunoprecipitation (co-IP) with YGL015C antibodies requires special considerations:
Antibody selection: Choose antibodies that recognize native conformations and avoid epitopes involved in protein-protein interactions. Polyclonal antibodies often perform better for initial co-IP experiments.
Lysis conditions: Use gentle, non-denaturing buffers (e.g., 150mM NaCl, 50mM Tris pH 7.5, 0.5% NP-40) to preserve protein complexes. Since YGL015C's function is not fully characterized, test multiple buffer conditions.
Cross-linking considerations: For transient or weak interactions, consider using membrane-permeable crosslinkers like DSP (dithiobis(succinimidyl propionate)) before lysis.
Pre-clearing: Remove non-specific binding proteins by pre-incubating lysate with protein A/G beads before adding YGL015C antibody.
Controls:
Input control: Save a sample of starting material
IgG control: Perform parallel IP with isotype-matched irrelevant antibody
Reverse IP: Confirm interactions by immunoprecipitating with antibodies against suspected partners
Elution strategies: Test both harsh (SDS, boiling) and gentle (peptide competition) elution methods depending on downstream applications.
Analysis: Use mass spectrometry to identify novel interaction partners, followed by validation with direct co-IP experiments.
Studies using similar approaches have successfully mapped interaction networks for proteins of unknown function, leading to functional characterization .
For precise quantification of YGL015C expression:
Western blot quantification:
Use recombinant YGL015C standards at known concentrations to create a standard curve
Employ fluorescent secondary antibodies rather than chemiluminescence for wider linear detection range
Normalize to multiple housekeeping proteins for more reliable quantification
Use software like ImageJ with background subtraction for densitometry
ELISA development:
Sandwich ELISA using two antibodies recognizing different YGL015C epitopes provides highest specificity
Include standard curves with recombinant protein
Validate assay for linearity, precision, accuracy, and matrix effects
Flow cytometry:
Optimize fixation and permeabilization for intracellular YGL015C detection
Use median fluorescence intensity rather than percent positive cells for quantification
Include quantification beads to convert arbitrary units to molecules of equivalent soluble fluorochrome
Quantitative immunofluorescence:
Employ automated imaging systems with consistent exposure settings
Use reference standards on each slide/plate
Implement automated image analysis algorithms to remove subjective quantification
Gaussia princeps luciferase (GpL)-based assays:
Managing cross-reactivity with YGL015C homologs requires systematic evaluation:
Bioinformatic analysis:
Identify potential homologs through sequence similarity searches
Analyze epitope conservation across homologs
Use alignment tools to predict likely cross-reactive proteins
Experimental validation:
Test antibody against recombinant homologs individually
Perform western blots on samples from knockout/knockdown models of YGL015C and its homologs
Conduct peptide competition assays with peptides from homologous regions
Absorption techniques:
Pre-absorb antibody with recombinant homologs to remove cross-reactive antibodies
Create affinity columns with immobilized homologs for purification
Epitope mapping:
Use peptide arrays to identify the specific binding site of the antibody
Select antibodies targeting unique regions of YGL015C
Alternative detection strategies:
For critical experiments, confirm results with orthogonal methods not relying on antibodies
Consider creating epitope-tagged versions of YGL015C for highly specific detection
Research on antibody polyreactivity has shown that certain sequence features, including increased hydrophobicity in CDR2H regions and reduced preference for phenylalanine in CDR1H, are associated with greater cross-reactivity potential .
Inconsistent results with YGL015C antibodies can stem from multiple factors:
Antibody-related factors:
Lot-to-lot variability: Especially common with polyclonal antibodies
Antibody degradation: Improper storage or repeated freeze-thaw cycles
Concentration inconsistencies: Inaccurate dilutions or evaporation during storage
Sample-related factors:
Variable YGL015C expression levels under different growth conditions
Post-translational modifications affecting epitope accessibility
Protein degradation during sample preparation
Protocol inconsistencies:
Variations in incubation times/temperatures
Changes in blocking reagents or washing stringency
Different detection systems or imaging settings
Environmental factors:
Temperature fluctuations affecting reaction kinetics
Water quality variations affecting buffer composition
Reagent aging or contamination
To address these issues:
Aliquot antibodies to minimize freeze-thaw cycles
Document all experimental conditions meticulously
Include positive controls in every experiment
Consider using recombinant antibodies, which show greater consistency than traditional monoclonal or polyclonal antibodies
Standardize protocols with detailed SOPs
Distinguishing specific from non-specific YGL015C immunostaining requires multiple control strategies:
Genetic controls:
YGL015C knockout/knockdown samples should show absence of specific signal
Overexpression systems should show increased signal intensity in transfected/transduced cells
Antibody controls:
Secondary-only controls to assess background from secondary antibody
Isotype controls to evaluate non-specific binding of primary antibody
Peptide competition assays where pre-incubation with immunizing peptide should eliminate specific signals
Signal pattern analysis:
Specific binding should show the expected subcellular localization
Non-specific binding often appears as diffuse background or edge artifacts
Compare staining pattern with other antibodies against the same protein
Technical approaches:
Titrate primary antibody to find optimal concentration
Test different blocking reagents (BSA, serum, commercial blockers)
Increase washing stringency to reduce background
Orthogonal validation:
Confirm immunostaining results with other techniques (western blot, mass spectrometry)
Use fluorescent protein fusions to validate localization patterns
Studies have shown that approximately one-third of commercially available antibodies fail to specifically recognize their targets in immunostaining applications, highlighting the importance of rigorous controls .
When facing weak or absent YGL015C signals, implement these troubleshooting strategies:
Sample preparation optimization:
Verify target expression (qPCR or other method)
Test different lysis/extraction methods to improve protein recovery
For yeast cells, ensure efficient cell wall disruption using optimized protocols
Prevent protein degradation with fresh, complete protease inhibitor cocktails
Antibody selection and handling:
Test multiple antibodies targeting different epitopes
Verify antibody activity with dot blots of recombinant protein
Reduce antibody dilution or increase incubation time
Check antibody storage conditions and expiration dates
Protocol adjustments:
For western blots: Increase protein loading, extend transfer time, try different membrane types
For IHC/IF: Optimize antigen retrieval (test different pH buffers, heat vs. enzymatic methods)
Try signal amplification systems (e.g., tyramide signal amplification, polymer detection)
Reduce washing stringency if signal is completely absent
Advanced solutions:
Protein enrichment:
Use immunoprecipitation to concentrate YGL015C before detection
Try subcellular fractionation to enrich for compartments containing YGL015C
If all optimization attempts fail, consider that YGL015C may be expressed at very low levels or under specific conditions not represented in your samples.
YGL015C antibodies can be powerful tools for investigating protein interactions under oxidative stress:
Co-immunoprecipitation under stress conditions:
Treat cells with oxidative stressors (H₂O₂, paraquat, or menadione)
Perform time-course analysis to capture dynamic interaction changes
Use preservative crosslinkers to capture transient interactions
Compare interaction profiles between normal and stress conditions
Proximity-based labeling approaches:
Generate YGL015C-BioID or YGL015C-APEX fusion proteins
Expose cells to oxidative stress during labeling
Identify proximal proteins by streptavidin pulldown and mass spectrometry
Validate interactions with co-IP using YGL015C antibodies
Förster resonance energy transfer (FRET):
Use fluorescently-labeled YGL015C antibody fragments
Pair with labeled antibodies against suspected interaction partners
Monitor FRET signals during oxidative stress induction
Protein complex analysis:
Perform blue native PAGE followed by western blotting with YGL015C antibodies
Compare complex formation under normal and stress conditions
Use 2D electrophoresis (native → SDS-PAGE) to identify complex components
Research on oxidative stress tolerance has revealed that multiple regulatory architectures and additive effect loci contribute to stress response mechanisms, suggesting YGL015C may function within these complex networks .
For dynamic spatial-temporal analysis of YGL015C:
Live-cell imaging approaches:
Generate cell lines expressing YGL015C-GFP fusion proteins
Validate localization with fixed-cell immunofluorescence using YGL015C antibodies
Perform time-lapse imaging during stress induction
Quantify changes in subcellular distribution
Fixed-cell time-course analysis:
Collect samples at defined intervals after stress induction
Process for multi-color immunofluorescence with YGL015C antibodies
Co-stain with markers for relevant cellular compartments
Quantify changes in localization patterns
Tissue-level analysis:
Use immunohistochemistry to examine YGL015C expression across different tissues
Compare normal and stressed conditions
Implement multiplex immunofluorescence to correlate with stress markers
Super-resolution microscopy:
Apply techniques like STORM or PALM with YGL015C antibodies
Achieve nanoscale resolution of YGL015C distribution
Track changes in molecular clustering during stress response
Spatial transcriptomics correlation:
Combine immunofluorescence data with spatial transcriptomics
Correlate protein localization with gene expression patterns
Identify microenvironments associated with YGL015C expression changes
Studies of oxidative stress response pathways highlight the importance of spatial reorganization of proteins during adaptation to stress conditions .
Developing quantitative assays for YGL015C modifications requires:
Modification-specific antibodies:
Generate antibodies against predicted post-translational modifications (PTMs)
Validate specificity using in vitro modified recombinant YGL015C
Test recognition under different cellular conditions
Mass spectrometry approaches:
Immunoprecipitate YGL015C using validated antibodies
Perform targeted mass spectrometry to identify and quantify modifications
Compare modification profiles between normal and stress conditions
Implement SILAC or TMT labeling for accurate quantification
Proximity ligation assays (PLA):
Combine YGL015C antibodies with modification-specific antibodies
PLA signal occurs only when both antibodies are in close proximity
Quantify signal changes in response to stressors
Phospho-specific flow cytometry:
Use phospho-specific antibodies if YGL015C is phosphorylated during stress
Quantify at the single-cell level to capture population heterogeneity
Correlate with other stress response markers
Automated high-content imaging:
Develop multiplexed immunofluorescence panels
Include YGL015C, modification-specific, and cellular context markers
Implement machine learning for feature extraction and quantification
Research on oxidative stress response pathways has revealed complex genetic and molecular mechanisms, suggesting that YGL015C may undergo regulatory modifications as part of stress adaptation networks .
YGL015C antibodies can provide crucial insights into oxidative stress genetics:
Genetic mapping correlation:
Compare YGL015C protein levels across genetically diverse yeast strains
Correlate with hydrogen peroxide resistance phenotypes
Integrate with quantitative trait loci (QTL) data to identify genetic determinants
Mutant variant analysis:
Generate antibodies against common YGL015C variants
Compare expression, localization, and interaction profiles
Assess functional differences in oxidative stress response
Epistasis studies:
Examine YGL015C expression/localization in genetic backgrounds with mutations in known oxidative stress genes
Use antibodies to track YGL015C in double-mutant analyses
Identify genetic interactions that modify YGL015C function
Population genomics integration:
Correlate YGL015C antibody staining patterns with genetic polymorphisms
Identify natural variants that alter YGL015C regulation or function
Connect genotype to phenotype through protein-level measurements
Research has shown that oxidative stress tolerance involves complex genetic architecture with multiple regulatory mechanisms. Studies in yeast have identified families with differential hydrogen peroxide resistance, suggesting genes like YGL015C may contribute to these phenotypic differences through multiple pathways .
Developing domain-specific YGL015C antibodies requires special considerations:
Structural bioinformatics approach:
Perform in silico analysis to predict domain boundaries
Identify surface-exposed regions within each domain
Assess conservation across species to target unique regions
Predict epitope accessibility in native conformation
Immunogenic peptide design:
Select peptides from predicted surface-exposed regions
Avoid highly disordered regions which may yield non-specific antibodies
Consider conjugation strategy to maintain native epitope structure
Design multiple peptides per domain for higher success probability
Recombinant domain expression:
Express individual domains as fusion proteins
Validate proper folding through functional assays
Use purified domains for immunization or antibody screening
Validation strategies:
Test against full-length and truncated YGL015C variants
Confirm domain specificity through peptide competition
Verify recognition of native protein in relevant biological contexts
Assess cross-reactivity with related protein domains
Application-specific screening:
Select antibodies based on intended applications (WB, IP, IF)
Test recognition under native and denaturing conditions
Evaluate epitope accessibility in different experimental contexts
Research on antibody development indicates that domain-specific antibodies can provide unique insights into protein function, particularly for multidomain proteins where individual domains may have distinct roles .
Leveraging YGL015C antibodies for high-throughput screening requires:
Assay development strategies:
Adapt immunodetection methods to microplate formats
Optimize signal-to-background ratio for automated detection
Develop robust positive and negative controls
Validate assay parameters (Z', coefficient of variation, dynamic range)
Screening approaches:
Primary screens based on YGL015C expression/localization changes
Secondary screens examining YGL015C interaction partners
Counter-screens to eliminate false positives
Dose-response confirmation of hits
Multiplexed detection methods:
Combine YGL015C antibodies with markers of cellular stress pathways
Implement high-content imaging for multiparameter analysis
Use barcoded antibodies for rapid multiplexed detection
Data analysis pipelines:
Develop automated image analysis workflows
Implement machine learning for complex phenotype recognition
Create integrated data visualization tools
Establish hit selection criteria based on statistical robustness
Validation cascade:
Confirm hits with orthogonal YGL015C detection methods
Validate biological relevance through functional assays
Determine mechanism of action via target deconvolution
Research on oxidative stress tolerance has identified multiple cellular processes contributing to stress response, suggesting that YGL015C might interface with various cellular pathways that could be targeted in screening approaches .
Emerging antibody technologies offer transformative potential for YGL015C research:
Single-domain antibodies (nanobodies):
Smaller size allows access to cryptic epitopes
Superior penetration in live-cell imaging
Potential for intracellular expression to track YGL015C in living cells
Feasibility for super-resolution microscopy applications
Recombinant antibody engineering:
Development of YGL015C-specific recombinant antibodies with defined sequence
Elimination of batch-to-batch variability
Site-specific conjugation for optimal orientation
Humanization for in vivo applications
Bi-specific antibodies:
Simultaneous targeting of YGL015C and interaction partners
Enhanced spatial resolution of protein complexes
Ability to bring enzymes into proximity with YGL015C
Antibody mimetics:
Non-immunoglobulin scaffolds (DARPins, Affibodies) for YGL015C binding
Improved stability under harsh experimental conditions
Potential for enhanced specificity through rational design
Intracellular antibody fragments:
Expression of antibody fragments in live cells
Real-time tracking of YGL015C dynamics
Modulation of YGL015C function through direct binding
Research shows that recombinant antibody technologies significantly outperform traditional antibodies in specificity testing, with one study demonstrating superior performance across multiple applications .
Integrating YGL015C antibody data with multi-omics requires sophisticated approaches:
Integrated experimental design:
Collect matched samples for proteomics, transcriptomics, and antibody-based analyses
Implement time-course designs to capture dynamic responses
Include genetic perturbations to identify regulatory relationships
Spatial multi-omics integration:
Combine immunofluorescence with spatial transcriptomics
Correlate YGL015C localization with local gene expression patterns
Develop computational methods to integrate spatial datasets
Network modeling approaches:
Use antibody-derived interaction data as network constraints
Integrate with protein-protein interaction networks from high-throughput studies
Apply Bayesian approaches to predict causal relationships
Single-cell multi-modal analysis:
Combine antibody-based protein measurements with single-cell RNA-seq
Characterize cellular heterogeneity in YGL015C expression and function
Identify cell state-specific YGL015C regulation
Validation strategies:
Use antibody-based approaches to validate predictions from network models
Develop targeted assays for key nodes in YGL015C-associated pathways
Implement CRISPR screens to systematically test network predictions
Studies of oxidative stress tolerance have revealed complex genetic architectures with multiple regulatory mechanisms, indicating that integration of protein-level data with genomic information can provide insights not possible with either approach alone .
YGL015C antibodies can provide unique insights into evolutionary conservation:
Cross-species epitope mapping:
Develop antibodies against conserved YGL015C epitopes
Test recognition across phylogenetically diverse species
Map functional domains through evolutionary conservation patterns
Comparative localization studies:
Examine YGL015C localization across species under stress conditions
Identify conserved vs. species-specific subcellular patterns
Correlate with conservation of interacting partners
Functional conservation assessment:
Use antibodies to track YGL015C in complementation experiments
Compare stress-induced modifications across species
Identify conserved regulatory mechanisms
Phylogenetic approach to antibody development:
Design antibodies targeting ancestral vs. derived features
Create antibody panels representing evolutionary transitions
Track functional divergence through specific epitope recognition
Developmental biology integration:
Examine YGL015C expression during development across species
Correlate with acquisition of stress response mechanisms
Identify critical periods of functional conservation
Research on oxidative stress tolerance has shown that multiple cellular processes contribute to stress response mechanisms, with both conserved and species-specific components that could be illuminated through comparative antibody-based studies .