YKL065W-A Antibody

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Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
YKL065W-A; Uncharacterized protein YKL065W-A
Target Names
YKL065W-A
Uniprot No.

Target Background

Database Links
Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

What is YKL065W-A Antibody and what are its key specifications?

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 .

What are the validated applications for YKL065W-A Antibody?

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.

What are the optimal storage and handling conditions for YKL065W-A Antibody?

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

How should I determine the appropriate dilution for my experiment?

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:

ApplicationStarting Dilution RangeOptimization Method
ELISA1:1,000 - 1:10,000Serial dilution titration
Western Blot1:500 - 1:2,000Gradient 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.

What controls should be included when working with YKL065W-A Antibody?

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.

How can I optimize Western blot conditions for YKL065W-A Antibody?

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.

What troubleshooting steps should I take for inconsistent YKL065W-A Antibody results?

When encountering inconsistent results with YKL065W-A antibody, systematic troubleshooting can help identify and resolve issues:

ProblemPossible CausesTroubleshooting Steps
No signalLow expression of target proteinConfirm target expression by alternative methods (RT-PCR, RNA-seq)
Antibody degradationUse fresh aliquot, verify storage conditions
Inefficient protein transferCheck transfer efficiency with Ponceau S staining
Multiple bandsNon-specific bindingIncrease blocking time, optimize antibody dilution
Protein degradationAdd fresh protease inhibitors, minimize freeze-thaw
Post-translational modificationsAnalyze with phosphatase treatment or other modification-specific approaches
High backgroundInsufficient blockingIncrease blocking time or concentration
Excessive antibody concentrationFurther dilute primary and secondary antibodies
Inadequate washingIncrease washing duration and number of washes

Document all experimental conditions and changes systematically to identify patterns and resolve inconsistencies in your results.

How should I validate antibody specificity for my S. cerevisiae strain?

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.

How can YKL065W-A Antibody be integrated into DNA-binding protein research?

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):

    • Investigate direct DNA binding using recombinant YKL065W-A protein

    • Add YKL065W-A antibody to binding reactions to observe supershifts that confirm specific protein-DNA interactions

    • Systematically analyze binding site preferences through competitor oligonucleotides

These approaches can reveal functional roles of YKL065W-A in transcriptional regulation and chromatin biology within S. cerevisiae.

What machine learning approaches can enhance YKL065W-A antibody-antigen interaction studies?

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:

    • Machine learning models can analyze many-to-many relationships between antibodies and antigens to predict binding

    • These models can address challenges in out-of-distribution prediction scenarios, where test antibodies and antigens aren't represented in training data

  • 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.

How can I optimize YKL065W-A Antibody for immunofluorescence microscopy in yeast?

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.

What are the current methodological advances in epitope mapping for YKL065W-A Antibody?

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.

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