YHR182W Antibody

What is YHR182W and what experimental systems require YHR182W antibody?

YHR182W is a gene in Saccharomyces cerevisiae (Baker's yeast) that has been studied in chromatin research contexts. The protein appears to be associated with promoter regions of specific genes, including GAL1, SWR1, and ribosomal protein genes (RPL13A and RPS16B), suggesting a potential role in transcriptional regulation or chromatin remodeling .

The antibody targeting this protein is primarily used in experimental systems studying:

• Chromatin structure and dynamics

• Transcriptional regulation in yeast

• Stress response mechanisms

• Protein-DNA interactions

The antibody is developed using recombinant Saccharomyces cerevisiae (strain ATCC 204508/S288c) YHR182W protein as the immunogen, and is raised in rabbits .

What validated applications can YHR182W antibody be used for?

Based on the available data, YHR182W antibody has been validated for the following applications:

The antibody is supplied as a liquid in a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative . It is purified using antigen affinity methods to enhance specificity.

What are the optimal storage and handling conditions for YHR182W antibody?

For maximum stability and activity retention, adhere to these storage and handling guidelines:

• Store at -20°C or -80°C upon receipt

• Avoid repeated freeze-thaw cycles that can degrade antibody quality

• Aliquot into smaller volumes for one-time use when working with the antibody

• Keep on ice during experiments

• Return to proper storage temperature immediately after use

• Do not use beyond the recommended stability period

The antibody is stable in the provided storage buffer (50% Glycerol, 0.01M PBS, pH 7.4, with 0.03% Proclin 300) . When properly stored, polyclonal antibodies typically maintain activity for at least 12 months from the date of receipt.

How should I design proper controls for YHR182W antibody validation?

Rigorous validation is essential before using the YHR182W antibody in critical experiments. Implement these control strategies:

• Genetic Controls: Compare wild-type yeast with YHR182W deletion mutants. The antibody should detect signal only in wild-type samples.

• Antibody Controls:

  • Primary antibody omission control

  • Isotype control (irrelevant rabbit IgG at same concentration)

  • Pre-adsorption with immunizing peptide (signal should be abolished)

• Specificity Controls:

  • Western blot showing a single band at expected molecular weight

  • Immunoprecipitation followed by mass spectrometry identification

  • Comparison with epitope-tagged YHR182W protein detection

• Application-Specific Controls:

  • For ChIP experiments: input DNA control, IgG control, and known target regions

  • For immunofluorescence: secondary antibody-only control

A critical consideration is comparing antibody performance across multiple experimental platforms to establish consistent specificity .

What is the recommended protocol for using YHR182W antibody in Western blotting?

For optimal Western blot results with YHR182W antibody, follow this validated protocol:

• Sample Preparation:

  • Harvest yeast cells and prepare lysates using glass bead disruption in appropriate lysis buffer

  • Add protease inhibitors to prevent degradation

  • Determine protein concentration using Bradford or BCA assay

  • Prepare 20-50 μg total protein per lane in SDS sample buffer

• Gel Electrophoresis and Transfer:

  • Separate proteins on 10-12% SDS-PAGE

  • Transfer to PVDF or nitrocellulose membrane (0.45 μm)

  • Verify transfer efficiency with Ponceau S staining

• Immunoblotting:

  • Block membrane with 5% non-fat milk in TBST for 1 hour at room temperature

  • Incubate with YHR182W antibody at 1:1000 dilution in blocking buffer overnight at 4°C

  • Wash 3x with TBST, 10 minutes each

  • Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000) for 1 hour

  • Wash 4x with TBST, 10 minutes each

  • Develop using ECL substrate and image

• Controls to Include:

  • Positive control: Wild-type S. cerevisiae lysate

  • Negative control: YHR182W deletion strain lysate

  • Loading control: Anti-actin or anti-GAPDH antibody

Expected result: A specific band corresponding to the YHR182W protein at the predicted molecular weight.

How can I optimize ChIP protocols for YHR182W antibody in chromatin studies?

Optimizing ChIP protocols for YHR182W requires careful attention to several key parameters:

Detailed ChIP Protocol Optimization:

• Crosslinking Optimization:

  • Test both standard formaldehyde (1%) and dual crosslinking approaches

  • For yeast cells, 10-15 minutes at room temperature is typically sufficient

  • Include glycine quenching (125 mM final concentration)

• Cell Lysis and Chromatin Preparation:

  • Use spheroplasting with zymolyase for efficient lysis of yeast cells

  • Optimize sonication to achieve DNA fragments of 200-500 bp

  • Confirm fragmentation by agarose gel electrophoresis

• Immunoprecipitation Conditions:

  • Pre-clear chromatin with protein A/G beads

  • Use 2-5 μg of YHR182W antibody per 25 μg of chromatin

  • Include a no-antibody control and IgG control

  • Incubate overnight at 4°C with rotation

• Washing and Elution:

  • Use increasingly stringent wash buffers:

    • Low-salt wash buffer (150 mM NaCl)

    • High-salt wash buffer (500 mM NaCl)

    • LiCl wash buffer (0.25 M LiCl)

    • TE buffer

  • Elute at 65°C in elution buffer with SDS

• Reverse Crosslinking and DNA Purification:

  • Incubate with proteinase K at 65°C overnight

  • Purify DNA using column-based methods

  • Quantify recovered DNA

• Analysis Methods:

  • qPCR targeting known binding regions (GAL1, SWR1, RPL13A, RPS16B promoters)

  • Include negative control regions (intergenic regions)

  • Calculate percent input or fold enrichment over IgG

Research has shown that YHR182W associates with specific promoter regions, providing a foundation for experimental design and positive control selection .

What approaches can resolve contradictory results when using YHR182W antibody?

When facing contradictory results with YHR182W antibody, implement this systematic troubleshooting approach:

• Verify Antibody Integrity:

  • Check expiration date and storage conditions

  • Test a new lot or aliquot of antibody

  • Perform a dot blot test to confirm antibody activity

• Validate Experimental Conditions:

  • Titrate antibody concentration across a wide range

  • Test multiple buffer compositions and pH conditions

  • Vary incubation times and temperatures

• Cross-Validate with Alternative Methods:

  • Compare results using different detection techniques

  • Use epitope-tagged YHR182W as an alternative approach

  • Apply different antibodies targeting the same protein if available

• Address Biological Variables:

  • Verify strain background and genotype

  • Consider growth conditions that might affect expression or localization

  • Examine post-translational modifications that might affect epitope recognition

• Investigate Technical Artifacts:

  • Check for cross-reactivity with closely related proteins

  • Assess sample preparation methods for potential issues

  • Evaluate detection systems and imaging parameters

When analyzing contradictory ChIP results specifically, compare the binding profiles at known target sites like GAL1, SWR1, and ribosomal protein gene promoters across different experimental conditions .

How does YHR182W localization change under various stress conditions?

Studying YHR182W localization changes requires rigorous experimental design:

Experimental Approach Table:

For immunofluorescence (IF) microscopy:

• Fix cells with formaldehyde (4%) for 15-30 minutes

• Prepare spheroplasts using zymolyase

• Permeabilize with methanol/acetone

• Block with BSA (3%) in PBS

• Incubate with YHR182W antibody (1:100-1:500)

• Apply fluorescent secondary antibody and DAPI counterstain

• Image using confocal microscopy

Research has demonstrated that hydroxyurea treatment, which induces replication stress, affects YHR182W function, suggesting this stress condition is particularly relevant to study .

What methods can determine if YHR182W interactions are direct or indirect?

Distinguishing between direct and indirect protein interactions requires multiple complementary approaches:

• In Vitro Binding Assays:

  • GST Pull-down: Express and purify GST-tagged YHR182W and test binding with candidate interactors

  • Surface Plasmon Resonance (SPR): Measure direct binding kinetics and affinity constants

  • Microscale Thermophoresis (MST): Assess binding in solution with minimal protein amounts

• Proximity-based Methods:

  • BiFC (Bimolecular Fluorescence Complementation): Split fluorescent protein complementation in living cells

  • FRET (Förster Resonance Energy Transfer): Measure energy transfer between fluorophores

  • PLA (Proximity Ligation Assay): Detect proteins within 40 nm distance

• Crosslinking Approaches:

  • Chemical Crosslinking: Use crosslinkers of defined length to capture direct interactions

  • Photo-Crosslinking: Site-specific incorporation of photo-reactive amino acids

  • Crosslinking Mass Spectrometry (XL-MS): Identify crosslinked peptides to map interaction interfaces

• Structural Methods:

  • X-ray Crystallography: Determine atomic-level structures of complexes

  • Cryo-EM: Visualize large complexes at near-atomic resolution

  • NMR Spectroscopy: Map interaction surfaces in solution

• Genetic Approaches:

  • Yeast Two-Hybrid with Truncations: Map minimal interaction domains

  • Suppressor Screens: Identify compensatory mutations that restore function

  • Deep Mutational Scanning: Systematically assess effects of mutations on interactions

For chromatin-associated factors like YHR182W, consider analyzing its co-occupancy with known chromatin remodeling and transcription factors using sequential ChIP (ChIP-reChIP) to determine if they simultaneously occupy the same genomic regions .

How can deep learning approaches be applied to optimize YHR182W antibody specificity?

Recent advances in deep learning offer promising approaches for antibody optimization:

• Computational Epitope Mapping:

  • Apply geometric neural networks to predict YHR182W epitopes

  • Model antibody-antigen interactions to identify optimal binding sites

  • Predict cross-reactivity with closely related yeast proteins

• Specificity Prediction and Enhancement:

  • Train models using experimental binding data to predict antibody specificity

  • Identify CDR mutations that could improve specificity for YHR182W

  • Simulate the structural effects of mutations on antibody-antigen binding

• Deep Learning-Guided Optimization Workflow:

  • Generate in silico mutation libraries of antibody CDRs

  • Rank mutations by predicted improvement in specificity

  • Experimentally validate top-ranked mutations

  • Iterate through successive rounds of prediction and testing

• Multi-objective Optimization:

  • Simultaneously optimize for specificity, affinity, and stability

  • Balance multiple parameters to achieve optimal performance

  • Create antibodies with customized specificity profiles

This approach has been successfully applied to optimize antibodies against SARS-CoV-2 variants, achieving 10- to 600-fold improvements in potency and breadth . Similar methodology could be adapted for enhancing YHR182W antibody specificity, particularly for distinguishing between closely related yeast proteins.

• Biophysics-informed Models:

  • Leverage protein-protein interaction physics to predict binding

  • Identify distinct binding modes associated with specific targets

  • Generate novel antibody variants with improved specificity

Recent research has shown that biophysics-informed models can successfully predict and design antibodies with customized specificity profiles, even for chemically similar targets .

How can YHR182W antibody be used to study chromatin-modifying complexes?

YHR182W's association with specific gene promoters suggests involvement in chromatin regulation . For studying its role in chromatin-modifying complexes:

• Complex Purification Strategies:

  • Tandem affinity purification using YHR182W antibody

  • Size exclusion chromatography to isolate intact complexes

  • Density gradient ultracentrifugation for complex separation

• Interaction Analysis:

  • Co-immunoprecipitation with known chromatin remodelers (e.g., SWR1)

  • Mass spectrometry identification of associated proteins

  • Western blotting for specific complex components

• Functional Reconstitution:

  • In vitro chromatin assembly with purified components

  • Nucleosome sliding/remodeling assays

  • Histone exchange measurement

• Genomic Approaches:

  • ChIP-seq to map genome-wide binding profiles

  • CUT&RUN for higher resolution mapping

  • Sequential ChIP to identify co-occupancy with other factors

• Genetic Interaction Analysis:

  • Synthetic genetic array with chromatin modifier mutants

  • Phenotypic analysis of double mutants

  • Suppressor screens to identify functional relationships

When analyzing ChIP data, particular attention should be paid to YHR182W association with the promoters of GAL1, SWR1, and ribosomal protein genes like RPL13A and RPS16B, as these have been identified as targets in previous research .

What methods can assess post-translational modifications of YHR182W?

Post-translational modifications (PTMs) can significantly impact protein function. To study PTMs of YHR182W:

• Mass Spectrometry-Based Analysis:

  • Immunoprecipitate YHR182W using validated antibody

  • Perform tryptic digestion of purified protein

  • Analyze peptides by LC-MS/MS with PTM-specific methods:

    • Phosphorylation: TiO₂ enrichment, neutral loss scanning

    • Ubiquitination: K-ε-GG antibody enrichment

    • Acetylation: Acetyl-lysine antibody enrichment

  • Quantify PTM stoichiometry using labeled standards

• PTM-Specific Western Blotting:

  • Use Phos-tag gels for phosphorylation detection

  • Apply PTM-specific antibodies (phospho, acetyl, ubiquitin)

  • Perform lambda phosphatase treatment as control

• Site-specific Mutant Analysis:

  • Create alanine substitutions at predicted PTM sites

  • Generate phosphomimetic mutations (S/T to D/E)

  • Assess functional consequences through phenotypic assays

• In Vivo PTM Dynamics:

  • Study changes in modifications under different conditions

  • Analyze kinetics following stimulus application

  • Identify relevant enzymes through inhibitor studies

• PTM Crosstalk Analysis:

  • Investigate interdependence between different modifications

  • Map modification "codes" that determine protein function

  • Assess effects of one modification on others

Given YHR182W's potential role in transcriptional regulation , PTMs might be particularly important for its recruitment to specific genomic loci or assembly into functional complexes.

How can I develop multiplex assays incorporating YHR182W antibody?

Developing multiplex assays allows simultaneous detection of multiple targets, providing more comprehensive data:

• Multiplex Immunofluorescence:

  • Combine YHR182W antibody with antibodies against interaction partners

  • Use different fluorophore-conjugated secondary antibodies

  • Implement spectral unmixing for signal separation

  • Apply tyramide signal amplification for low-abundance targets

• Multiplex ChIP Approaches:

  • Sequential ChIP (ChIP-reChIP) to detect co-occupancy

  • Combinatorial indexed ChIP for high-throughput analysis

  • CUT&Tag with orthogonal tags for simultaneous profiling

• Mass Cytometry (CyTOF):

  • Label YHR182W antibody with metal isotopes

  • Combine with other metal-labeled antibodies

  • Analyze single cells for multiple parameters

• Proximity-based Multiplex Systems:

  • DNA-barcoded antibody systems (Immuno-SABER)

  • Proximity extension assays (PEA)

  • Spatial transcriptomics with protein detection

• Protocol Development Considerations:

  • Optimize antibody concentrations to prevent interference

  • Test for cross-reactivity between detection systems

  • Include appropriate controls for each target

  • Validate multiplex data against single-plex results

When developing multiplex assays with YHR182W antibody, consider its known associations with specific gene promoters and potential chromatin-modifying complexes to design biologically relevant combinations of targets.

How does the YHR182W antibody perform in different yeast genetic backgrounds?

The performance of YHR182W antibody may vary across different genetic backgrounds, requiring careful validation:

Cross-Strain Validation Table:

Optimization Strategies:

• Sequence Analysis:

  • Compare YHR182W sequences across strains

  • Identify polymorphisms in antigenic regions

  • Predict impact on antibody recognition

• Experimental Validation:

  • Test antibody in each genetic background

  • Compare to epitope-tagged versions

  • Use deletion strains as negative controls

• Application-Specific Adjustments:

  • Adjust antibody concentrations for each strain

  • Modify incubation conditions as needed

  • Develop strain-specific protocols

• Alternative Approaches:

  • Consider epitope tagging in non-reference strains

  • Use strain-specific positive and negative controls

  • Implement additional specificity validation steps

The antibody was raised against recombinant protein from the S288c reference strain , so performance should be optimal in this genetic background and may require validation in divergent strains.

What computational tools can analyze ChIP-seq data generated using YHR182W antibody?

For comprehensive analysis of YHR182W ChIP-seq data, consider this analytical pipeline:

• Quality Control and Preprocessing:

  • FastQC for sequence quality assessment

  • Trimmomatic or Cutadapt for adapter removal

  • BWA or Bowtie2 for alignment to yeast genome

  • Picard for duplicate marking

  • ENCODE ChIP-seq standards for quality metrics

• Peak Calling:

  • MACS2 with appropriate parameters for transcription factor ChIP

  • IDR framework for replicate consistency

  • FRiP score calculation for enrichment quality

• Differential Binding Analysis:

  • DiffBind or MAnorm for condition comparison

  • edgeR or DESeq2 for statistical testing

  • Log2 fold change and p-value cutoffs for significance

• Motif Analysis:

  • MEME Suite for de novo motif discovery

  • FIMO for motif occurrence mapping

  • CentriMo for central enrichment analysis

• Functional Genomics Integration:

  • GREAT for gene ontology enrichment

  • deepTools for signal visualization

  • Genomic association with genomic features

  • Integration with RNA-seq data

• Advanced Analysis:

  • Nucleosome positioning analysis around binding sites

  • Co-binding analysis with other factors

  • Chromatin state integration using ChromHMM

When analyzing YHR182W ChIP-seq data, pay particular attention to enrichment at promoter regions of genes like GAL1, SWR1, RPL13A, and RPS16B, which have been identified as targets in previous research . Additionally, consider examining binding patterns under different stress conditions, as YHR182W function may be related to stress response pathways .