YKL165C-A is a systematic yeast gene identifier (SGD ID: S000007617) assigned during genome annotation. The "YKL" prefix denotes its chromosomal location (Yeast chromosome XI, Left arm). No peer-reviewed studies or antibody development efforts targeting this gene product were identified .
Potential Nomenclature Confusion:
The term "YKL" appears in unrelated human proteins (e.g., YKL-40, a secreted glycoprotein linked to cancer and inflammation). Anti-YKL-40 antibodies are well-documented (e.g., patents WO2019060675A1 , WO2006089549A1 , and therapeutic studies ), but these target human YKL-40, not yeast YKL165C-A.
While YKL165C-A lacks antibody data, research on structurally or functionally related targets provides context:
| Target | Antibody Name/Clone | Application | Key Findings | Source |
|---|---|---|---|---|
| Human YKL-40 | mAY (mouse monoclonal) | Cancer therapy | Inhibits tumor angiogenesis by blocking VEGF receptor 2 and MAPK/Erk pathways . | AACR Molecular Cancer Therapeutics |
| Human YKL-40 | Clones 115F9, 116F9 | Fibrosis and metastasis inhibition | Binds epitopes in YKL-40’s heparin-binding domain, suppressing cell survival . | WO2006089549A1 Patent |
| CD16a | #1A2, #2-2A2 | NK cell engagers for cancer | Bispecific antibodies show high affinity for CD16a (K<sub>D</sub> 8–10 nM) and resistance to IgG competition . | PMC Articles |
Yeast-derived proteins like YKL165C-A face limited commercial interest due to:
Low clinical relevance: Most yeast genes lack homologs in human disease pathways.
Antigenicity barriers: Small or non-immunogenic yeast proteins reduce antibody yield.
Resource prioritization: Research focuses on conserved human targets (e.g., CD16a, YKL-40) with therapeutic potential .
Verify target nomenclature: Confirm if "YKL165C-A" refers to a yeast gene or a typographical error for human YKL-40.
Explore custom antibody services: Companies like Sino Biological or AvantGen specialize in bespoke antibody development against uncharacterized targets .
Functional studies: If YKL165C-A is a novel target, initiate epitope mapping and immunization trials using recombinant protein.
STRING: 4932.YKL165C-A
YKL165C-A likely represents a protein variant or related family member to YKL165c, which corresponds to the S. cerevisiae open reading frame that encodes MCD4. MCD4 is characterized as a conserved endoplasmic reticulum membrane protein with 14 predicted transmembrane domains. The first transmembrane domain near the N-terminus (amino acids 14-31) functions as a stop-transfer sequence that directs protein translocation into the ER . For antibody development against such proteins, it's important to understand the structural relationship and potential sequence homology between YKL165C-A and YKL165c to ensure specificity.
YKL165C-A antibodies would typically be employed in techniques similar to those used for other yeast proteins, including:
Western blotting for protein expression analysis
Immunoprecipitation for protein-protein interaction studies
Immunofluorescence for localization studies
ChIP (Chromatin Immunoprecipitation) for DNA-protein interaction analysis
When designing experiments, researchers should consider the cellular compartment where YKL165C-A is expected to localize. Based on related proteins like YKL165c, which is an ER membrane protein, specialized extraction methods may be required for optimal results .
Proper antibody validation is crucial for obtaining reliable results. A comprehensive validation approach should include:
Western blot using both wild-type and knockout/knockdown strains to confirm specificity
Peptide competition assay to verify that the antibody binds to the intended epitope
Cross-reactivity testing against closely related proteins, particularly other YKL family proteins
Validation across multiple experimental techniques where the antibody will be used
For yeast proteins like YKL165C-A, consider using a procedure similar to that used for Mcd4p antibody development, where a fusion protein was created, purified, and used for immunization. The resulting antiserum was then affinity-purified using standard procedures .
For effective detection of YKL165C-A in yeast samples, consider the following protocol based on methods used for related proteins:
Harvest cells at OD₆₀₀ of 0.5-1.0 for optimal protein expression
Resuspend cell pellet in lysis buffer (50 mM Tris pH 7.5, 5 mM EDTA, 2 mM PMSF, 30 μg/ml each of leupeptin, antipain, and pepstatin)
Lyse cells using glass beads with multiple vortexing cycles (4 × 30 seconds), placing on ice between cycles
Collect and pool lysates, then precipitate proteins with 10% TCA
Wash protein pellet twice with acetone and dry
Solubilize by sonication in sample buffer containing 2.5% β-mercaptoethanol
This method has proven effective for related membrane proteins and should work well for YKL165C-A detection .
Post-translational modifications (PTMs) can significantly impact protein function and detection. To assess PTMs:
Compare migration patterns on SDS-PAGE between native samples and those treated with specific enzymes (phosphatases, glycosidases, etc.)
Use PTM-specific antibodies in conjunction with YKL165C-A antibody
Employ mass spectrometry following immunoprecipitation to identify modifications
Compare results across different growth conditions that might affect PTM status
If YKL165C-A follows patterns similar to related yeast proteins, consider checking for glycosylation as this is common for ER-resident proteins .
Cross-reactivity can confound experimental results, especially when studying protein families. Consider these approaches:
Epitope mapping to identify unique regions of YKL165C-A for more specific antibody generation
Pre-absorption of antibodies with recombinant related proteins (e.g., YKL169C) to reduce cross-reactivity
Use of knockout strains as negative controls to confirm signal specificity
Sequential immunoprecipitation to deplete cross-reactive proteins
A systematic validation approach using the above methods can establish confidence in antibody specificity within the experimental context.
Based on knowledge of related proteins like MCD4/YKL165c, which functions in the ER membrane, careful experimental design is crucial:
Consider using mild detergents (1% digitonin or 1% CHAPS) for protein extraction to maintain protein-protein interactions
Employ proximity labeling methods (BioID or APEX) to identify transient interactions
Use co-immunoprecipitation followed by mass spectrometry to identify interaction partners
Confirm interactions with reciprocal pull-downs and yeast two-hybrid assays
When investigating membrane protein interactions, crosslinking prior to lysis can help preserve complexes that might otherwise dissociate during solubilization .
For reliable immunofluorescence results, implement these critical controls:
Secondary antibody-only control to assess background fluorescence
YKL165C-A knockout/knockdown strain to evaluate antibody specificity
Co-localization with known ER markers (if YKL165C-A is predicted to be ER-localized like YKL165c)
Pre-immune serum control to establish baseline non-specific binding
Peptide competition assay to confirm epitope specificity
Additionally, proper fixation is crucial; for ER membrane proteins, a combination of formaldehyde fixation followed by mild detergent permeabilization often yields optimal results.
Drawing from successful approaches with related proteins, consider this methodology:
Select unique epitopes based on hydrophilicity, surface probability, and antigenic index analysis
For a recombinant protein approach:
Clone a fragment from the N-terminal region into an expression vector (e.g., pQE-9)
Express as an N-terminal-6-HIS fusion protein in E. coli
Purify the fusion protein (note: it may be largely insoluble as seen with Mcd4p)
Use gel-purified protein for rabbit immunization
Perform affinity purification of the resulting antiserum
This approach was successful for generating antibodies against Mcd4p/YKL165c and could be adapted for YKL165C-A .
For robust quantitative analysis:
Use Western blotting with appropriate loading controls (e.g., housekeeping proteins)
Implement standard curves using recombinant YKL165C-A protein
Consider using the following dilution ranges based on related antibodies:
Primary antibody: 1:150 to 1:1000 dilution (optimize empirically)
Secondary antibody: According to manufacturer's recommendation
Employ image analysis software for densitometry
Validate with orthogonal methods such as qRT-PCR for mRNA levels
For comparing expression across conditions, normalize to total protein or to specific housekeeping proteins that remain stable under your experimental conditions.
Detection failures can stem from multiple causes. Systematically address these possibilities:
Protein extraction efficiency:
Try alternative lysis methods (mechanical disruption, enzymatic lysis)
Use different detergents (CHAPS, Triton X-100, SDS) at varying concentrations
Extend extraction time or implement multiple extraction cycles
Epitope accessibility:
Test different denaturation conditions
Try alternative antibodies targeting different epitopes
Consider native vs. reducing conditions
Signal enhancement:
Implement signal amplification methods
Increase antibody concentration or incubation time
Use more sensitive detection systems (chemiluminescence vs. colorimetric)
Protein stability:
Add additional protease inhibitors
Reduce sample processing time
Keep samples consistently cold throughout preparation
Unexpected bands require careful analysis:
Potential explanations for aberrant migration patterns:
Post-translational modifications (glycosylation, phosphorylation)
Alternative splicing variants
Proteolytic processing
Protein aggregation or multimerization
Cross-reactivity with related proteins
Verification approaches:
Remember that membrane proteins often migrate aberrantly on SDS-PAGE due to their hydrophobic nature and may not match their predicted molecular weight.
For robust statistical analysis:
Always perform experiments with at least three biological replicates
Apply appropriate statistical tests based on data distribution:
Parametric tests (t-test, ANOVA) for normally distributed data
Non-parametric alternatives (Mann-Whitney U, Kruskal-Wallis) for non-normal distributions
Consider using the following comparative analysis framework:
| Analysis Type | Recommended Tests | Sample Size Considerations | Normalization Method |
|---|---|---|---|
| Two-condition comparison | Paired t-test or Wilcoxon | Minimum n=3 | Internal control ratio |
| Multi-condition | One-way ANOVA or Kruskal-Wallis | Minimum n=3 per group | Percent of control |
| Time-course | Repeated measures ANOVA | Minimum n=3 per timepoint | Baseline ratio |
| Dose-response | Nonlinear regression | Minimum 5-7 concentrations | Percent of maximum response |
Apply appropriate corrections for multiple testing (e.g., Bonferroni, FDR)
Report effect sizes alongside p-values for more meaningful interpretation
Based on the dissertation information about cellular metabolism , consider these approaches:
Monitor YKL165C-A expression changes during:
Different carbon source utilization
Stress conditions (oxidative, osmotic, temperature)
Growth phases
Investigate potential interactions with metabolic regulators:
Perform co-immunoprecipitation studies with known metabolic sensors
Use proximity labeling to identify condition-specific interactors
Apply genetic approaches (synthetic lethality, suppressor screens) to establish functional relationships
Correlate YKL165C-A abundance with specific metabolic outputs:
Measure target metabolites using MS or NMR
Apply 13C-flux analysis to determine pathway activities
Integrate with other -omics data (transcriptomics, proteomics)
This approach aligns with systems-level studies of cellular regulation of metabolism .
For effective ChIP experiments:
Crosslinking optimization:
Test different formaldehyde concentrations (0.75-1.5%)
Optimize crosslinking time (10-30 minutes)
Consider dual crosslinking with DSG for improved protein-protein fixation
Sonication parameters:
Aim for chromatin fragments of 200-500 bp
Verify fragmentation by gel electrophoresis
Optimize sonication cycles empirically for your specific equipment
IP conditions:
Test antibody amounts (2-10 μg per IP)
Optimize bead type and amount
Include appropriate controls (IgG, input, non-target region)
Data analysis:
Normalize to input DNA
Compare to IgG control
Use appropriate statistical tests for significance determination
The field of antibody technology is rapidly evolving, with several promising developments:
Single-domain antibodies (nanobodies) offer advantages for detecting membrane proteins like YKL165C-A, including better access to sterically hindered epitopes
Recombinant antibody fragments with improved specificity could be developed using phage display technology targeting unique regions of YKL165C-A
The YAbS database and similar resources catalog antibody development information that can inform optimized strategies for YKL165C-A-directed antibodies
Advanced validation methodologies using CRISPR-Cas9 knockout systems provide more definitive evidence of antibody specificity
Researchers should monitor developments in these areas to adopt improved technologies as they become available for yeast protein research.
For effective multi-omics integration:
Ensure sample preparation compatibility across platforms
Maintain consistent experimental conditions and timepoints
Apply appropriate normalization methods for each data type
Use statistical approaches designed for integrative analysis
Validate key findings with orthogonal methods
Consider the temporal dynamics of different molecular events