YHR219W Antibody

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Description

Molecular Characterization of YHR219W

Gene Details (From Saccharomyces Genome Database ):

PropertyDescription
Gene NameYHR219W
UniProt IDP38900
Chromosomal LocationRight arm of chromosome VIII (Telomere region)
Protein FunctionPutative helicase-like protein; unknown biological role
Sequence Length1,158 base pairs (DNA); 385 amino acids (Protein)
StrainS. cerevisiae ATCC 204508 / S288c

Protein Features:

  • Contains conserved helicase domains (DEAD/DEAH box family motifs)

  • No experimentally validated enzymatic activity reported to date

Primary Uses in Biomedical Research

  • Target Validation:
    Detects endogenous YHR219W expression in yeast lysates via Western Blot .

  • Protein Localization:
    Potential for Immunocytochemistry (pending experimental validation) .

  • Functional Studies:
    Used in co-immunoprecipitation assays to identify helicase-associated protein complexes .

Performance Considerations:

  • Specificity confirmed using S288c lysates; no cross-reactivity data for other yeast strains .

  • Requires validation via knockout controls, as ~12% of commercial antibodies fail target recognition in peer-reviewed studies .

Key Findings:

  • Genetic Interactions:
    YHR219W shows 5 physical/genetic interactions with telomere-associated proteins (e.g., YKU70, EST1), suggesting a role in telomere maintenance .

  • Expression Profile:
    Low-abundance protein (median abundance: 0.2 ppm in S288c proteome) .

Unresolved Questions:

  • No observable phenotype in YHR219W knockout strains under standard lab conditions .

  • Helicase-like domains remain uncharacterized mechanistically.

Challenges in Antibody Utilization

  • Validation Gaps:
    50-75% of commercial antibodies for yeast proteins lack application-specific validation .

  • Recommendations:

    • Pair with YHR219W knockout controls for WB/IP experiments .

    • Prefer recombinant antibodies showing 23% higher reliability in comparative studies .

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
YHR219WPutative uncharacterized protein YHR219W antibody
Target Names
YHR219W
Uniprot No.

Q&A

What is YHR219W and why would researchers use antibodies against it?

YHR219W is a putative protein of unknown function with similarity to helicases, located in the telomere region on the right arm of chromosome VIII in Saccharomyces cerevisiae (baker's yeast) . Researchers use antibodies against this protein primarily to:

  • Study telomere dynamics and DNA supercoiling in yeast

  • Investigate protein-protein interactions at telomeric regions

  • Examine its potential helicase function in DNA replication or repair

  • Analyze its role in RNA binding as suggested by affinity capture-RNA studies

The protein appears in telomere regions where positive supercoiling has been observed in yeast genomes , suggesting potential involvement in DNA topology regulation.

What validation methods should be employed for YHR219W antibodies?

Proper validation of YHR219W antibodies requires multiple complementary approaches:

Validation MethodTechnical ApproachExpected Outcome
Western blot with knockout controlsCompare wild-type with ΔYHR219W strain lysatesSingle specific band present in wild-type, absent in knockout
Immunoprecipitation followed by mass spectrometryPull-down with anti-YHR219W followed by MS identificationYHR219W as the primary identified protein
Immunofluorescence with specificity controlsStain wild-type and ΔYHR219W strainsTelomeric localization signal in wild-type only
Recombinant protein recognitionTest antibody against purified recombinant YHR219WHigh-affinity binding with low background

The validation approach follows similar principles used in modern antibody characterization, where multiple lines of evidence establish specificity .

How can YHR219W antibodies be optimized for chromatin immunoprecipitation (ChIP) experiments?

Optimizing ChIP with YHR219W antibodies requires specific considerations:

  • Crosslinking optimization: Due to YHR219W's potential association with telomeric regions, dual crosslinking with both formaldehyde (1%) and ethylene glycol bis(succinimidyl succinate) (EGS) is recommended to stabilize indirect DNA-protein interactions.

  • Sonication parameters: Start with 10-12 cycles (30s on/30s off) to generate 200-500bp fragments for optimal resolution of telomeric binding sites.

  • Antibody concentration: Titrate between 2-5 μg per reaction, as telomere-associated proteins often require higher antibody concentrations for efficient IP.

  • Washing stringency: Use high-salt washes (up to 500mM NaCl) to reduce background without disrupting specific interactions.

  • Elution conditions: Consider native elution with competing peptides when available to preserve protein activity for downstream functional studies.

This approach draws from principles used in active learning strategies for efficient experimental design in antibody-based studies .

What are the most effective applications of YHR219W antibodies in yeast research?

Based on available evidence, the most effective applications include:

  • Affinity capture-RNA studies: YHR219W has been shown to interact with RNA through affinity capture experiments , suggesting utility in RNA immunoprecipitation (RIP) assays.

  • DNA topology analysis: Given its similarity to helicases and presence in regions of positive supercoiling , YHR219W antibodies can be used to correlate protein localization with DNA topology maps.

  • Protein complex identification: The interaction between YHR219W and HEK2 (an RNA binding protein) suggests utility in co-IP experiments to identify novel telomere-associated complexes.

  • Telomere function studies: Immunofluorescence with YHR219W antibodies can help track telomere dynamics during cell cycle progression and stress responses.

  • Chromatin structure analysis: Combining ChIP-seq with GapR-seq (which detects positive supercoiling) can reveal correlations between YHR219W binding and DNA topology.

How can epitope-tagging strategies complement YHR219W antibody studies?

While commercial antibodies are available for YHR219W , epitope-tagging offers complementary advantages:

  • Scarless gene tagging approach: Using the method described by , researchers can generate C- or N-terminal fusions of YHR219W with fluorescent proteins like mNeonGreen through a one-step transformation and two-step selection process.

  • Split fluorescent protein tagging: For minimally disruptive labeling, techniques using split-GFP can be applied where one fragment is fused to YHR219W and complemented by the other fragment expressed separately.

  • Tag selection considerations:

Tag TypeAdvantagesPotential Limitations with YHR219W
Small epitopes (FLAG, HA)Minimal functional disruptionMay not be accessible in telomeric chromatin
Fluorescent proteinsDirect visualizationPotential interference with helicase activity
Enzyme tags (HRP, APEX)Proximity labelingMay alter cellular localization
  • Validation strategy: Always compare antibody-based detection with tag-based detection to confirm consistency in localization and interaction patterns.

What challenges exist in detecting post-translational modifications of YHR219W?

Detecting post-translational modifications (PTMs) of YHR219W presents several challenges:

  • Low abundance: As a putative helicase in telomeric regions, YHR219W is likely expressed at low levels, making PTM detection difficult.

  • PTM-specific antibodies: Generation of antibodies against predicted phosphorylation, SUMOylation, or ubiquitination sites requires:

    • In silico prediction of modification sites

    • Synthetic peptides containing the modified residue

    • Multiple-rabbit immunization strategy to increase success rates

  • Mass spectrometry approach:

    • Enrich YHR219W using the primary antibody

    • Digest with multiple proteases to increase sequence coverage

    • Apply neutral loss scanning for phosphorylation

    • Use SUMO remnant antibodies for SUMOylation detection

  • Modification-dependent function: Testing for modification-dependent interactions using proximity-dependent biotin identification (BioID) coupled with YHR219W antibodies can reveal condition-specific interaction partners.

How can machine learning approaches enhance experimental design when working with YHR219W antibodies?

Machine learning (ML) can significantly improve experimental efficiency when working with antibodies against poorly characterized proteins like YHR219W:

  • Active learning strategies: The approach described in demonstrates how AL can reduce the number of experiments needed by 35% and speed up the learning process by 28 steps compared to random selection. This can be applied when:

    • Optimizing immunoprecipitation conditions for YHR219W

    • Determining the best fixation and permeabilization conditions for immunofluorescence

    • Identifying the optimal epitope for new antibody generation

  • Model-based experimental design:

    • Query-by-Committee approach: Train multiple models to predict antibody performance under different conditions and prioritize experiments where models disagree

    • Gradient-Based Uncertainty: Focus on experimental conditions where the model's predictions are most uncertain

  • Diversity-based approaches:

    • Hamming Average Distance method: Select diverse experimental conditions based on parameter differences to efficiently explore the experimental space

    • This approach showed the highest performance gain (1.795% improvement) in out-of-distribution scenarios

What are the best approaches for using YHR219W antibodies in multi-protein complex studies?

When studying protein complexes involving YHR219W:

  • Sequential immunoprecipitation:

    • First IP with anti-YHR219W

    • Elution under mild conditions

    • Second IP with antibodies against suspected interaction partners (e.g., HEK2 )

    • This confirms direct vs. indirect interactions

  • Proximity labeling:

    • Express YHR219W fused to BioID or APEX2

    • Validate localization using YHR219W antibodies

    • Induce biotinylation of proximal proteins

    • Identify interaction network through streptavidin pull-down and mass spectrometry

  • Crosslinking mass spectrometry (XL-MS):

    • Apply protein crosslinkers (DSS, BS3) to yeast cultures

    • Immunoprecipitate with YHR219W antibodies

    • Digest and analyze crosslinked peptides by MS

    • Map interaction surfaces between YHR219W and partners

  • Live-cell co-localization:

    • Compare antibody-based fixed cell imaging with live-cell fluorescent protein tagging

    • Confirm physiological relevance of interactions observed in biochemical assays

How can researchers address common issues with YHR219W antibody specificity?

When encountering specificity issues:

  • Cross-reactivity assessment:

    • Test antibody against lysates from multiple yeast strains

    • Include ΔYHR219W strain as negative control

    • Perform peptide competition assays with immunizing peptide

    • Pre-adsorb antibody with yeast lysates lacking YHR219W

  • Epitope accessibility optimization:

    • Test multiple protein extraction methods (native vs. denaturing)

    • Evaluate different fixation protocols (formaldehyde, methanol, acetone)

    • Try epitope retrieval methods if using fixed samples

  • Antibody format considerations:

    • Compare performance of polyclonal vs. monoclonal antibodies

    • Test different antibody fragments (Fab, F(ab')2) if steric hindrance is suspected

    • Consider using recombinant antibodies derived from hybridomas for better reproducibility

  • Signal enhancement strategies:

    • Implement tyramide signal amplification for low abundance detection

    • Use tandem antibody labeling approaches

    • Apply proximity ligation assay (PLA) to verify specific interactions

What experimental design principles should guide YHR219W antibody-based research?

Proper experimental design is crucial for antibody-based studies:

  • Control implementation:

    • Genetic controls: wild-type vs. ΔYHR219W strains

    • Antibody controls: specific IgG vs. non-specific IgG

    • Technical controls: input samples, blocking peptide competition

  • Variable management :

    • Independent variables: Growth conditions, strain background, cellular treatments

    • Dependent variables: YHR219W expression level, localization pattern, interaction partners

    • Extraneous variables: Batch effects, antibody lot variation, environmental conditions

  • Randomization and blinding:

    • Randomize sample processing order

    • Implement observer blinding during image analysis

    • Use automated analysis workflows when possible

  • Statistical considerations:

    • Perform power analysis to determine sample size

    • Apply appropriate statistical tests based on data distribution

    • Implement multiple testing correction for high-throughput studies

  • Reproducibility practices:

    • Document antibody lot numbers and dilutions

    • Establish standard operating procedures for key protocols

    • Maintain detailed records of all experimental conditions

By following these principles, researchers can generate robust and reproducible data when working with YHR219W antibodies, advancing our understanding of this putative helicase and its role in yeast telomere biology.

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