YKL177W is a gene in Saccharomyces cerevisiae (budding yeast) encoding a protein of undetermined molecular function. The gene is annotated in the Saccharomyces Genome Database (SGD) with basic sequence and protein information but lacks detailed functional characterization . The YKL177W antibody is a reagent developed to detect and study this protein in experimental settings.
Molecular Weight: Predicted based on gene sequence but not experimentally validated .
Domains: No conserved domains identified in current annotations .
Subcellular Localization: Unknown; no experimental data available.
The YKL177W antibody has been utilized in several research contexts:
Cyclin Interaction Screening
YKL177W was tested for interactions with Cdc28 kinase via two-hybrid assays. Although no direct interaction was confirmed, homologs (YKR077W and YOR066W) showed cell cycle-regulated expression and potential roles as kinase substrates .
Critical Observation: YKL177W’s homologs contain conserved Cdc28 phosphorylation motifs, suggesting functional relevance in cell cycle regulation .
Epitope Tagging and Detection
Specificity Concerns: Limited validation data exist for the YKL177W antibody. Studies emphasize the necessity of knockout (KO) cell lines to confirm antibody specificity, as highlighted in broader antibody validation frameworks .
Performance Metrics: Recombinant antibodies generally outperform polyclonal and monoclonal variants in Western blot (WB) and immunofluorescence (IF) , but YKL177W antibody performance remains unquantified.
Functional Characterization: Targeted deletion studies or CRISPR-based KO models are needed to elucidate YKL177W’s role and validate antibody utility.
Integration with Proteomics: Leveraging platforms like YCharOS for systematic antibody screening could resolve specificity issues and enhance reproducibility .
YKL177W antibody is a polyclonal antibody raised in rabbits against recombinant Saccharomyces cerevisiae (strain ATCC 204508/S288c) YKL177W protein . It is supplied in liquid form with a storage buffer containing 0.03% Proclin 300, 50% Glycerol, and 0.01M PBS at pH 7.4 . The antibody has been purified using antigen affinity methods and corresponds to UniProt accession number P34238 . This antibody is specifically designed for research applications and should not be used for diagnostic or therapeutic purposes .
Based on the product information, YKL177W antibody has been tested and validated for ELISA (Enzyme-Linked Immunosorbent Assay) and Western Blot (WB) applications . These techniques allow researchers to detect and quantify the presence of the YKL177W protein in yeast samples. When using these applications, it's crucial to include appropriate controls to ensure proper identification of the antigen .
To maintain optimal activity, YKL177W antibody should be stored at either -20°C or -80°C upon receipt . It's critical to avoid repeated freeze-thaw cycles as these can degrade antibody performance and reduce specificity and sensitivity in experimental applications . For short-term use, storing small aliquots can help preserve antibody integrity by minimizing the number of freeze-thaw cycles.
When designing Chromatin Immunoprecipitation (ChIP) experiments with YKL177W antibody, consider the following methodological approach:
Cell preparation: Grow yeast to mid-log phase in appropriate media
Crosslinking: Treat cells with 1% formaldehyde for 15-20 minutes at room temperature
Chromatin preparation: Lyse cells and sonicate to generate 200-500bp DNA fragments
Immunoprecipitation: Use 2-5μg of YKL177W antibody per sample
Controls: Include input DNA control and IgG negative control
Analysis: Perform qPCR targeting regions of interest
This approach is similar to the ChIP analysis methodology referenced in the literature for studying protein associations with yeast gene promoters . When analyzing results, express enrichment as a percentage of input DNA obtained by ChIP, and perform at least three independent experiments to ensure statistical significance .
For optimal Western blot results with YKL177W antibody, implement the following protocol:
Sample preparation: Thoroughly lyse yeast cells using glass bead disruption or enzymatic methods
Protein quantification: Normalize protein concentration across samples
SDS-PAGE: Load 20-50μg total protein per lane
Transfer: Use PVDF membrane for optimal protein binding
Blocking: Block with 5% non-fat milk or BSA in TBST for 1 hour
Primary antibody: Dilute YKL177W antibody 1:1000 in blocking buffer, incubate overnight at 4°C
Washing: Perform 3-5 washes with TBST
Secondary antibody: Use anti-rabbit HRP conjugate at 1:5000 for 1 hour
Detection: Apply ECL substrate and image
Include a YKL177W deletion strain as negative control to verify antibody specificity, similar to deletion analysis approaches used in yeast studies .
To study protein interactions involving YKL177W, consider implementing a competitive binding approach using size exclusion chromatography (SEC) as described in the literature for antibody-antigen complexes :
Prepare protein mixture: Combine YKL177W protein with potential binding partners at defined ratios (e.g., 1:1, 1:2)
SEC fractionation: Separate complexed from unbound proteins based on molecular weight
Collection: Gather fractions corresponding to bound and unbound states
Analysis: Use YKL177W antibody in Western blot or ELISA to detect protein in each fraction
Comparison: Analyze differences between bound and unbound fractions to identify interaction determinants
This approach, similar to methodologies used for therapeutic antibody characterization , can reveal critical residues or modifications affecting binding interactions. Multi-angle light scattering (MALS) can be incorporated to determine precise molecular weights of complexes, as demonstrated in binding studies with molecular weights ranging from 142kDa to 360kDa .
For robust statistical analysis of quantitative data from YKL177W antibody experiments:
Experimental design: Perform at least three independent experiments (n=3) for statistical validity
Basic statistical tests:
For comparing two conditions: Student's t-test with appropriate p-value threshold
For multiple comparisons: ANOVA with post-hoc tests
Advanced visualization and analysis:
Multiple testing correction:
Table 1: Example Statistical Analysis Framework for YKL177W Antibody Experiments
| Analysis Type | Statistical Test | Significance Threshold | Application |
|---|---|---|---|
| Two-sample comparison | Student's t-test | p<0.05 | Comparing wild-type vs mutant |
| Multiple-sample comparison | ANOVA + Tukey's HSD | p<0.05 | Comparing multiple strains |
| Multiple parameter analysis | t-test with Bonferroni | p<0.05/n (where n=parameters) | Analyzing multiple modifications |
| Correlation analysis | Pearson/Spearman | p<0.05, r>0.7 | Relating protein levels to phenotype |
When interpreting changes in YKL177W protein levels or modifications:
Baseline comparison: Establish normal expression/modification patterns in wild-type yeast under standard conditions
Quantitative assessment:
For protein levels: Normalize to appropriate loading controls (e.g., actin)
For modifications: Calculate percentage of modified vs. unmodified protein
Biological significance:
Modification analysis:
Consider both statistical significance and fold change when evaluating modifications
Use volcano plot analysis to visualize modifications with both high statistical significance and large fold changes
Manually verify mass spectra for ambiguous modifications, as demonstrated for distinguishing between different types of deamidation
Context interpretation:
Connect observed changes to cell cycle phase, stress conditions, or genetic background
Compare results with known behavior of functionally related proteins
When troubleshooting weak or absent signals in Western blots:
Antibody-specific issues:
Sample preparation issues:
Protein degradation: Add protease inhibitors during extraction
Low expression: Increase loading amount (50-100μg total protein)
Inefficient extraction: Try alternative lysis methods optimized for yeast
Technical issues:
Transfer efficiency: Verify with reversible total protein stain
Detection sensitivity: Use enhanced chemiluminescence substrates
Exposure time: Extend imaging time for weak signals
Experimental controls:
Include positive control (if available)
Use freshly prepared buffers and reagents
Verify secondary antibody functionality with a different primary antibody
To distinguish specific from non-specific signals:
Genetic validation:
Use YKL177W deletion strains as negative controls
Test antibody reactivity in related yeast species to confirm specificity
Blocking optimization:
Test different blocking agents (BSA, milk, commercial blockers)
Increase blocking time or concentration to reduce background
Signal validation approaches:
Expected molecular weight: Verify that bands appear at predicted size
Peptide competition: Pre-incubate antibody with immunizing peptide to block specific binding
Secondary antibody control: Run a lane without primary antibody to identify non-specific binding
Technical considerations:
Increase washing stringency (higher salt concentration, longer washes)
Reduce antibody concentration if background is high
Use highly purified secondary antibodies to minimize cross-reactivity
For studying protein-protein interactions involving YKL177W in cell cycle contexts:
Co-immunoprecipitation approach:
Synchronize yeast cultures at specific cell cycle stages
Immunoprecipitate with YKL177W antibody
Identify interaction partners by mass spectrometry or Western blotting
Validate interactions using reciprocal immunoprecipitation
Two-hybrid validation:
Table 2: Hypothetical YKL177W Interaction with Cyclin-Cdk Complexes
| Complex | Interaction | Cell Cycle Phase |
|---|---|---|
| Cln2-Cdc28 | Strong | G1/S |
| Cln3-Cdc28 | Weak | G1 |
| Clb2-Cdc28 | None | G2/M |
| Clb5-Cdc28 | Moderate | S |
Interaction dynamics:
Track interactions across cell cycle phases
Investigate effects of cell cycle arrests on interactions
Examine how phosphorylation states affect binding partner selection
Functional validation:
To study post-translational modifications of YKL177W:
Mass spectrometry characterization:
Site-specific mutational analysis:
Create point mutations at potential modification sites
Express mutant versions in yeast
Use YKL177W antibody to analyze effects on protein stability, localization, and function
Temporal dynamics:
Synchronize yeast cultures at different cell cycle phases
Analyze modifications at each phase
Connect modification patterns to cell cycle regulation
Methodology validation:
For developing highly sensitive detection methods:
Amplified detection approaches:
Enhanced ELISA protocols:
Develop sandwich ELISA with capture and detection antibodies targeting different YKL177W epitopes
Implement signal amplification systems (e.g., tyramide signal amplification)
Optimize incubation times and temperatures for maximum sensitivity
Single-molecule detection:
Adapt techniques from therapeutic antibody detection to yeast protein analysis
Consider proximity ligation assays for detecting YKL177W interactions in situ
Implement digital ELISA approaches for counting individual protein molecules
Validation methodology:
Compare sensitivity against standard detection methods
Establish lower limits of detection and quantification
Determine dynamic range and linearity of response
These advanced detection methods could achieve orders of magnitude greater sensitivity than traditional ELISA, which typically requires billions or trillions of molecules for detection , enabling research with limited sample material or for low-abundance forms of YKL177W.
Emerging technologies with potential application for YKL177W research include:
Label-free protein detection:
Advanced imaging approaches:
Super-resolution microscopy for subcellular localization
Live-cell tagging systems compatible with YKL177W antibody detection
Correlative light and electron microscopy for ultrastructural context
Functional genomics integration:
Computational tools:
Machine learning algorithms for predicting interaction partners
Molecular dynamics simulations of protein interactions
Network analysis tools to position YKL177W in cellular pathways
These technologies could significantly expand our understanding of YKL177W biology beyond what is possible with current standard methods.