KEGG: sce:YKL065W-A
STRING: 4932.YKL065W-A
YKL065W-A antibody (product code CSB-PA649634XA01SVG) is a polyclonal antibody raised in rabbits against recombinant Saccharomyces cerevisiae (strain ATCC 204508/S288c) YKL065W-A protein. This antibody has been developed specifically to recognize the YKL065W-A protein (UniProt accession: Q2V2P2) in Baker's yeast. The antibody is supplied in liquid form, non-conjugated, and is purified using antigen affinity purification methods. It is classified as an IgG isotype polyclonal antibody and is intended exclusively for research applications, not for diagnostic or therapeutic use .
The antibody is provided in a storage buffer containing 0.03% Proclin 300 as a preservative, 50% glycerol, and 0.01M PBS at pH 7.4, which helps maintain its stability and activity during storage and experimental use .
YKL065W-A antibody has been tested and validated for the following applications:
Enzyme-Linked Immunosorbent Assay (ELISA): For quantitative detection of YKL065W-A protein in solutions or biological samples.
Western Blotting (WB): For identification and semi-quantitative analysis of YKL065W-A protein in complex protein mixtures .
These validated applications ensure reliable detection and identification of the target antigen in appropriate experimental contexts. When establishing new applications or experimental conditions, preliminary validation is recommended to confirm antibody performance in your specific research system.
To maintain optimal activity and stability, YKL065W-A antibody should be stored at -20°C or -80°C upon receipt. The antibody is supplied in a buffer containing 50% glycerol to prevent freezing at -20°C, which allows for easy aliquoting without repeated freeze-thaw cycles. Repeated freezing and thawing should be avoided as this can lead to denaturation and loss of antibody activity .
For routine usage, it is recommended to:
Prepare small aliquots for single use to minimize freeze-thaw cycles
Thaw aliquots at room temperature or at 4°C before use
Centrifuge briefly before opening the vial to ensure all contents are at the bottom
Handle with sterile techniques to prevent contamination
Determining the optimal dilution for YKL065W-A antibody requires systematic testing across different dilution ranges based on your specific application. While exact recommended dilutions are not provided in the data sheet, the following general guidelines can be applied:
| Application | Starting Dilution Range | Optimization Method |
|---|---|---|
| ELISA | 1:1,000 - 1:10,000 | Serial dilution titration |
| Western Blot | 1:500 - 1:2,000 | Gradient testing with positive control |
Always include appropriate positive and negative controls when determining optimal dilutions. For positive controls, use samples known to contain the YKL065W-A protein; for negative controls, use samples from organisms or cells where the target protein is absent or has been knocked out.
Implementing proper controls is essential for reliable and interpretable results when working with YKL065W-A antibody. The following controls should be considered:
Positive Controls:
Lysates from wild-type S. cerevisiae (strain ATCC 204508/S288c) expressing YKL065W-A protein
Recombinant YKL065W-A protein (as used for immunization)
Negative Controls:
Lysates from YKL065W-A knockout S. cerevisiae strains
Sample preparation with primary antibody omitted
Pre-immune serum from the same animal species
Isotype control (non-specific rabbit IgG)
Specificity Controls:
Competitive inhibition with excess antigen
Peptide blocking experiment using the immunizing peptide
Inclusion of these controls helps validate antibody specificity, minimize false-positive results, and ensure that observed signals are genuinely attributable to YKL065W-A protein detection.
Optimizing Western blot conditions for YKL065W-A antibody involves systematic adjustment of several parameters to achieve maximum sensitivity and specificity:
Sample Preparation:
Use fresh samples with protease inhibitors
Determine optimal protein loading (typically 20-50 μg of total protein)
Consider native vs. denaturing/reducing conditions based on epitope accessibility
Gel Percentage and Transfer:
Select appropriate gel percentage based on YKL065W-A molecular weight
Optimize transfer time and voltage for efficient protein transfer
Blocking Conditions:
Test different blocking agents (5% non-fat milk, 3-5% BSA)
Determine optimal blocking time (typically 1-2 hours at room temperature)
Antibody Incubation:
Test various dilutions of YKL065W-A antibody (starting with 1:500 - 1:2000)
Compare overnight incubation at 4°C vs. 1-2 hours at room temperature
Optimize washing steps (buffer composition, duration, number of washes)
Detection Method:
Select appropriate secondary antibody conjugate (HRP, AP, fluorescent)
Optimize secondary antibody dilution and incubation time
Choose detection reagent based on required sensitivity
Systematic testing and documentation of these parameters will help establish reproducible conditions for reliable detection of YKL065W-A protein.
When encountering inconsistent results with YKL065W-A antibody, systematic troubleshooting can help identify and resolve issues:
| Problem | Possible Causes | Troubleshooting Steps |
|---|---|---|
| No signal | Low expression of target protein | Confirm target expression by alternative methods (RT-PCR, RNA-seq) |
| Antibody degradation | Use fresh aliquot, verify storage conditions | |
| Inefficient protein transfer | Check transfer efficiency with Ponceau S staining | |
| Multiple bands | Non-specific binding | Increase blocking time, optimize antibody dilution |
| Protein degradation | Add fresh protease inhibitors, minimize freeze-thaw | |
| Post-translational modifications | Analyze with phosphatase treatment or other modification-specific approaches | |
| High background | Insufficient blocking | Increase blocking time or concentration |
| Excessive antibody concentration | Further dilute primary and secondary antibodies | |
| Inadequate washing | Increase washing duration and number of washes |
Document all experimental conditions and changes systematically to identify patterns and resolve inconsistencies in your results.
Validating YKL065W-A antibody specificity for your particular S. cerevisiae strain is crucial, especially when working with strains other than the reference strain ATCC 204508/S288c. A comprehensive validation approach should include:
Sequence Homology Analysis:
Compare the YKL065W-A sequence between your strain and the reference strain
Identify any polymorphisms that might affect antibody recognition
Genetic Validation:
Test antibody on YKL065W-A knockout strains (negative control)
Use overexpression systems to confirm antibody detection sensitivity
Immunoprecipitation-Mass Spectrometry:
Perform IP with the antibody followed by mass spectrometry
Confirm that the precipitated protein matches YKL065W-A
Peptide Competition Assay:
Pre-incubate antibody with excess immunizing peptide
Verify that this abolishes or significantly reduces detection signal
Orthogonal Detection Methods:
Compare antibody results with tagged versions of YKL065W-A
Correlate protein detection with mRNA expression levels
Thorough validation ensures that experimental observations genuinely reflect YKL065W-A biology rather than artifacts from non-specific antibody binding.
YKL065W-A has been identified in contexts related to DNA-binding proteins, suggesting potential roles in transcriptional regulation or chromatin organization . For researchers investigating these aspects, YKL065W-A antibody can be integrated into advanced experimental workflows:
Chromatin Immunoprecipitation (ChIP):
Optimize cross-linking conditions specifically for YKL065W-A
Develop sonication parameters to generate appropriate chromatin fragment sizes
Use stringent washing conditions to minimize background
Sequence precipitated DNA (ChIP-seq) to identify genome-wide binding sites
Calling Card Method Integration:
The calling card method enables identification of DNA-binding sites through targeted transposon insertion
YKL065W-A antibody can be incorporated into this workflow to confirm protein expression and localization
Compare calling card results with traditional ChIP approaches for comprehensive binding site identification
Co-Immunoprecipitation for Protein Complex Analysis:
Use YKL065W-A antibody to immunoprecipitate the protein along with interacting partners
Analyze precipitated complexes by mass spectrometry
Validate interactions through reciprocal co-IP experiments
Electrophoretic Mobility Shift Assays (EMSA):
These approaches can reveal functional roles of YKL065W-A in transcriptional regulation and chromatin biology within S. cerevisiae.
Recent advances in machine learning offer powerful approaches to understand and predict antibody-antigen interactions, including those involving YKL065W-A antibody:
Active Learning for Binding Prediction:
Active learning algorithms can significantly reduce experimental costs by starting with a small labeled subset of data and iteratively expanding the labeled dataset
Recent research demonstrated that active learning strategies can reduce the number of required antigen mutant variants by up to 35% and accelerate the learning process by 28 steps compared to random baselines
Library-on-Library Screening Optimization:
Epitope Mapping and Binding Site Prediction:
Computational approaches can predict potential epitopes on YKL065W-A protein
These predictions can guide experimental design for antibody engineering or optimization
Structural modeling combined with machine learning can identify critical residues for antibody-antigen interactions
Cross-Reactivity Assessment:
ML models can help predict potential cross-reactivity with related proteins
This can inform experimental design to assess antibody specificity more efficiently
Researchers can leverage these computational approaches to enhance experimental efficiency and gain deeper insights into YKL065W-A antibody-antigen interactions.
Optimizing YKL065W-A antibody for immunofluorescence microscopy in yeast requires addressing several yeast-specific challenges:
Cell Wall Permeabilization:
Yeast cell walls present a significant barrier to antibody penetration
Optimize enzymatic digestion with zymolyase or lyticase
Test different fixation protocols (formaldehyde, methanol, or combinations)
Signal Enhancement Strategies:
Consider tyramide signal amplification for low-abundance proteins
Test secondary antibody systems with enhanced sensitivity
Optimize antibody concentration and incubation times specifically for microscopy
Background Reduction:
Implement additional blocking steps with yeast-specific blockers
Include competing antibodies from the same species to reduce non-specific binding
Test different mounting media to improve signal-to-noise ratio
Controls and Validation:
Use YKL065W-A-GFP fusion protein expression as a positive control
Compare antibody localization patterns with GFP-tagged protein
Include YKL065W-A knockout strains as negative controls
Quantitative Analysis:
Develop standardized imaging parameters for consistent results
Implement automated image analysis for unbiased quantification
Calculate signal-to-background ratios to evaluate staining quality
A systematic approach to these optimization steps will yield reproducible and biologically meaningful immunofluorescence data when working with YKL065W-A antibody in yeast cells.
Advanced epitope mapping techniques can provide crucial insights into YKL065W-A antibody specificity and functionality:
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Maps epitopes by identifying regions protected from deuterium exchange when antibody is bound
Provides structural insights without requiring protein crystallization
Can detect conformational epitopes that are missed by linear peptide arrays
Phage Display with Next-Generation Sequencing:
Random peptide libraries displayed on phage can be screened against YKL065W-A antibody
NGS analysis of selected peptides reveals consensus binding motifs
Can identify both linear and conformational epitopes
Cryo-electron Microscopy:
Enables visualization of antibody-antigen complexes at near-atomic resolution
Can reveal structural details of binding interfaces
Particularly valuable for conformational epitopes
Computational Epitope Prediction:
In silico approaches combining structural modeling with machine learning
Can prioritize regions for experimental validation
Particularly useful when crystal structures are unavailable
Alanine Scanning Mutagenesis:
Systematic replacement of residues with alanine
Identifies critical amino acids for antibody binding
Can be performed using recombinant protein expression systems
These advanced methods can provide detailed insights into YKL065W-A antibody binding characteristics, informing both basic research and potential applications in protein function studies.