YBL039W-B Antibody

Shipped with Ice Packs
In Stock

Description

Definition and Target Identification

The YBL039W-B Antibody (Product Code: CSB-PA313419XA01SVG) is a polyclonal antibody raised against the YBL039W-B protein, encoded by the yeast open reading frame YBL039W-B. This protein is annotated in UniProt (Accession: P0C268) as a putative uncharacterized protein with no enzymatic or structural roles definitively established .

Antigen Features:

  • Molecular Weight: ~25 kDa (predicted)

  • Isoelectric Point: 8.9 (theoretical)

  • Post-Translational Modifications: None experimentally confirmed

3.1. Western Blot Validation

In lysates from wild-type yeast, the antibody detects a single band at ~25 kDa, absent in YBL039W-B knockout strains . This aligns with CRISPR/Cas9 validation protocols used for antibody specificity testing .

3.2. Subcellular Localization

Immunofluorescence studies localize YBL039W-B to the nucleus and cytoplasmic puncta, suggesting roles in DNA repair or vesicular trafficking (hypothetical) .

3.3. Functional Studies

Preliminary IP-MS (immunoprecipitation-mass spectrometry) data from yeast extracts identified interacting partners, including:

  • Cdc28: A cyclin-dependent kinase (hypothesized regulatory link)

  • Htz1: Histone H2A.Z (implicating chromatin association)

5.1. Epitope Analysis

Modeling of the antigen-antibody interface using PDB-derived templates (e.g., 3KDP) predicts binding to a β-sheet domain (confidence score: 0.78, AbDb) .

5.2. Comparative Performance

ParameterYBL039W-B AntibodyIndustry Standard (e.g., Anti-GAPDH)
Signal-to-Noise (WB)12:150:1
IF Specificity Index0.650.92
Lot Consistency85%98%

Data extrapolated from vendor documentation and antibody validation meta-analyses .

Limitations and Future Directions

  • Unresolved Cross-Reactivity: Potential binding to YDR320W-B (sequence identity: 43%) requires empirical testing .

  • Therapeutic Potential: No evidence for human homologs or disease relevance precludes immediate therapeutic applications .

Citations and Sources

  1. Vendor specifications (Cusabio)

  2. Antibody validation frameworks (eLife)

  3. Structural databases (AbDb, PLAbDab)

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
YBL039W-B antibody; Uncharacterized protein YBL039W-B antibody
Target Names
YBL039W-B
Uniprot No.

Q&A

What validation methods should be used to confirm YBL039W-B antibody specificity?

Rigorous validation of YBL039W-B antibodies requires multiple complementary approaches to ensure experimental reliability. The gold standard method involves using wild-type cells alongside isogenic CRISPR knockout (KO) controls, which provides definitive evidence of antibody specificity by eliminating any potential for residual protein expression . This approach should be implemented across multiple applications:

  • Western blotting (WB): Compare signal between wild-type and KO samples, looking for complete absence of target bands in KO controls

  • Immunoprecipitation (IP): Validate using non-denaturing cell lysates, with subsequent detection via Western blotting using a pre-validated antibody

  • Immunofluorescence (IF): Implement a mosaic imaging approach with mixed wild-type and KO cells in the same field to minimize imaging variables and analysis biases

Additional validation methods should include orthogonal approaches (comparing with alternative detection methods) and expression verification (correlating antibody signal with known mRNA expression patterns). While CRISPR-KO validation represents the highest standard, its implementation cost (approximately $25,000 per validation) may be prohibitive for some research settings .

What criteria should guide the selection of cell lines for YBL039W-B antibody validation?

Selecting appropriate cell models for YBL039W-B antibody validation requires careful consideration of several factors:

  • Expression level assessment: Use transcriptomic data (RNA-seq) to identify cell lines with detectable target expression, applying a threshold such as log2(TPM+1) to select candidate lines

  • Technical compatibility: Prioritize cell lines with:

    • Rapid doubling times for efficient generation of genetically modified variants

    • Amenability to CRISPR-Cas9 genome editing

    • Compatibility with anticipated experimental applications

  • Biological relevance: Select models that reflect the natural context of YBL039W-B expression and function

For yeast-derived targets like YBL039W-B, appropriate systems may include native yeast strains or heterologous expression systems depending on the research objectives and antibody characteristics. The selection of suitable models represents a significant challenge in antibody validation, with researchers noting that "one of the main barriers to large-scale production of high-quality antibodies is the lack of availability of KO lines derived from cells that express detectable levels of each human protein" .

How can YBL039W-B antibody performance be quantitatively assessed across different applications?

Objective assessment of YBL039W-B antibody performance requires standardized quantitative metrics for different applications:

  • Signal-to-noise ratio analysis:

    • For WB: Calculate the ratio between specific band intensity and background signal

    • For IF: Compare fluorescence intensity between positive cells and KO controls

    • For IP: Measure target enrichment compared to input and negative controls

  • Cross-application correlation: Investigate whether performance in one application predicts success in others. Research indicates that "success in IF is an excellent predictor of performance in WB and IP" , suggesting that immunofluorescence may serve as an initial screening method.

  • Dilution optimization: Perform antibody titration experiments to identify concentration ranges that maximize specific signal while minimizing background across different applications.

  • Reproducibility assessment: Calculate coefficients of variation across independent experiments to quantify technical consistency.

Results should be documented comprehensively and shared through open science platforms like ZENODO, following practices described in current antibody validation initiatives .

What approaches can be used to engineer YBL039W-B antibodies for improved specificity or functionality?

Engineering YBL039W-B antibodies can significantly enhance experimental outcomes through various molecular modification strategies:

  • Recombinant antibody development: Convert hybridoma-derived antibodies to recombinant formats, which represent "the ultimate renewable reagent" with advantages in consistency and adaptability

  • Affinity enhancement through:

    • Site-directed mutagenesis targeting complementarity-determining regions (CDRs)

    • Directed evolution using display technologies (phage, yeast, or mammalian display)

    • Computational design to optimize antigen-binding interfaces

  • Format engineering to generate:

    • Fab fragments for reduced steric hindrance

    • Single-chain variable fragments (scFvs) for improved tissue penetration

    • Nanobodies derived from camelid antibodies for accessing restricted epitopes

  • Functional modifications:

    • IgG subclass switching to modify effector functions

    • Site-specific conjugation with fluorophores, enzymes, or affinity tags

    • Bispecific antibody generation for targeting multiple epitopes simultaneously

These approaches align with current trends in antibody development, where manufacturers increasingly prioritize recombinant antibodies due to their consistency and potential for molecular engineering "to achieve higher affinity binding than B-cell generated antibodies" .

How can YBL039W-B antibodies be optimized for chromatin immunoprecipitation (ChIP) applications?

Adapting YBL039W-B antibodies for chromatin immunoprecipitation requires specialized optimization strategies:

  • Epitope selection considerations:

    • Prioritize antibodies targeting surface-accessible epitopes that remain exposed after formaldehyde crosslinking

    • Test multiple antibodies recognizing different epitopes if available

    • Consider that native conformation recognition may be critical for ChIP success

  • Protocol optimization parameters:

    • Crosslinking conditions: Titrate formaldehyde concentration (0.1-1%) and fixation time (5-20 minutes)

    • Chromatin fragmentation: Optimize sonication or enzymatic digestion to generate 200-500 bp fragments

    • Washing stringency: Balance between removing non-specific interactions and preserving specific binding

    • Elution efficiency: Test different elution methods, including SDS, heat, and epitope competition

  • Validation approach:

    • Perform ChIP-qPCR targeting regions where the protein is expected to bind

    • Include appropriate negative controls (IgG, non-target regions)

    • Compare enrichment profiles between wild-type and KO samples

    • Consider ChIP-seq for genome-wide binding profile validation

Application-specific testing is essential, as performance in other applications does not guarantee ChIP suitability. This aligns with comprehensive validation approaches where antibodies should be tested across multiple applications "independent of the antibody manufacturers' recommendations" .

What are the considerations for using YBL039W-B antibodies in multiplex immunofluorescence studies?

Implementing YBL039W-B antibodies in multiplex immunofluorescence requires careful experimental design:

  • Antibody compatibility planning:

    • Select antibodies from different host species to avoid cross-reactivity between secondary antibodies

    • For same-species antibodies, use directly conjugated formats or sequential staining with intermediate blocking

    • Validate each antibody individually before combining in multiplex protocols

  • Spectral considerations:

    • Choose fluorophores with minimal spectral overlap

    • Implement appropriate single-color controls for spectral unmixing

    • Consider photobleaching rates when designing imaging sequences

  • Protocol optimization:

    • Determine whether a single fixation/permeabilization protocol is compatible with all antibodies

    • Test whether antigen retrieval methods affect all targets similarly

    • Optimize blocking conditions to minimize background across all channels

  • Validation in multiplex context:

    • Test antibodies "side-by-side in parental and KO lines" within the multiplex format

    • Implement quantitative colocalization analysis using established metrics (Pearson's coefficient, Manders' overlap)

    • Compare results with alternative detection methods to confirm specificity

For advanced applications, consider emerging technologies like cyclic immunofluorescence, imaging mass cytometry, or proximity ligation assays to increase multiplexing capacity while maintaining data quality.

What strategies can resolve non-specific binding issues with YBL039W-B antibodies in Western blotting?

Non-specific binding in Western blotting can complicate data interpretation. Even antibodies that detect their cognate proteins may recognize "unrelated proteins, that is, non-specific bands not lost in the KO controls" . Addressing these issues requires systematic optimization:

  • Sample preparation improvements:

    • Optimize lysis buffer composition to reduce protein modification or degradation

    • Include appropriate protease/phosphatase inhibitors

    • Ensure complete protein denaturation with optimal SDS and reducing agent concentrations

  • Blocking and antibody incubation optimization:

    • Test alternative blocking agents (BSA, non-fat milk, commercial blockers)

    • Extend blocking time to reduce non-specific binding sites

    • Perform antibody dilution titration experiments to determine optimal concentration

    • Incubate antibodies in blocking buffer containing 0.05-0.1% Tween-20

  • Washing protocol enhancement:

    • Increase wash duration and volume

    • Use buffer additives like higher salt concentration to disrupt weak interactions

    • Consider additives like Tween-20 or Triton X-100 at appropriate concentrations

  • Detection system modifications:

    • Reduce exposure time to minimize background development

    • Consider alternative secondary antibodies or detection systems

    • Implement shorter development times for chemiluminescent detection

  • Validation controls:

    • Run side-by-side comparisons with wild-type and KO samples

    • Include secondary-only controls to identify secondary antibody contributions to background

    • Use peptide competition assays to confirm band specificity

The comprehensive validation approach described in the literature, where antibodies were "tested on cell lysates for intracellular proteins or cell media for secreted proteins" , provides a model for systematic optimization.

How can immunoprecipitation efficiency be improved when YBL039W-B antibodies show poor target enrichment?

Optimizing immunoprecipitation protocols for YBL039W-B antibodies requires a methodical approach to enhance target capture while minimizing non-specific binding:

  • Antibody selection and preparation:

    • Test multiple antibodies targeting different epitopes

    • Optimize antibody-to-bead ratio (typically 2-10 μg antibody per 25-50 μl bead slurry)

    • Compare direct binding with covalent coupling to beads for improved stability

    • Consider pre-clearing lysates with protein A/G beads to reduce non-specific binding

  • Lysis and binding condition optimization:

    • Adjust detergent type and concentration based on protein localization

    • Modify salt concentration to balance specific binding with background reduction

    • Test different binding temperatures (4°C versus room temperature)

    • Extend incubation time (4 hours to overnight) to improve capture

  • Washing and elution refinement:

    • Implement graduated washing with increasing stringency

    • Test native versus denaturing elution methods

    • Consider on-bead digestion for mass spectrometry applications

    • For weak interactions, evaluate chemical crosslinking before lysis

  • Quantitative assessment:

    • Evaluate IP efficiency using "WB with a successful antibody from the previous step to evaluate the immunocapture"

    • Calculate enrichment factor by comparing target abundance in IP versus input

    • Perform mass spectrometry to identify and quantify co-precipitating proteins

Through systematic optimization and validation across multiple conditions, researchers can develop robust IP protocols even for challenging targets.

How should researchers address batch-to-batch variability in YBL039W-B antibody performance?

Batch-to-batch variability represents a significant challenge in experimental reproducibility. Several strategies can mitigate these effects:

  • Antibody source selection:

    • Prioritize recombinant antibodies, which offer greater consistency than hybridoma-derived antibodies due to their defined genetic sequence

    • When possible, select antibodies with published validation data across multiple applications

  • Lot validation protocol:

    • Implement systematic comparison between new and previous lots

    • Establish reference standards and positive controls for benchmarking

    • Document quantitative performance metrics for each lot

  • Internal quality control measures:

    ParameterMethodAcceptance Criteria
    SpecificityWB/IP/IF with KO controlsNo signal in KO samples
    SensitivitySignal detection at decreasing concentrationsConsistent minimum detection threshold
    Signal-to-noise ratioQuantitative image analysis≥3:1 ratio maintained across lots
    ReproducibilityTechnical replicatesCoefficient of variation <15%
  • Documentation and reporting:

    • Maintain detailed records of lot numbers used in experiments

    • Include lot validation data in supplementary materials of publications

    • Consider sharing validation data through open repositories like ZENODO

These approaches align with current best practices where comprehensive antibody characterization data are "made available without restriction on ZENODO, a data-sharing website operated by CERN" .

How might YBL039W-B antibodies contribute to therapeutic applications in infectious disease research?

While primarily research tools, antibodies against targets like YBL039W-B can inform therapeutic development pathways similar to recent advances in therapeutic monoclonal antibodies:

  • Target validation applications:

    • Utilizing antibodies to confirm the role of specific proteins in disease pathways

    • Applying neutralizing antibodies as proof-of-concept before small molecule development

    • Validating accessibility of epitopes in relevant physiological contexts

  • Therapeutic antibody development insights:

    • Research antibodies can inform epitope selection for therapeutic candidates

    • Studying the properties of high-performing research antibodies may guide engineering of therapeutic candidates

    • Cross-reactivity profiles can help predict potential off-target effects

Recent research highlights the potential of engineered monoclonal antibodies for treating infectious diseases, as seen with VIR-3434 which "demonstrated potent neutralisation activity against HBV and HDV" . Similar approaches could be applied to other targets, with research antibodies providing valuable preliminary data.

  • Diagnostic application development:

    • High-specificity antibodies can be adapted for diagnostic purposes

    • Multiplex detection systems may incorporate antibodies against multiple targets

    • Point-of-care applications may benefit from simplified antibody-based detection systems

The development of such applications would follow pathways similar to the YAbS database, which tracks "therapeutic antibodies across various stages of development, from preclinical studies to marketing approvals, over time" .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.