YER084W-A Antibody

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Description

Database and Literature Review

A systematic search was conducted across the following resources:

  • PubMed/PMC: No entries match "YER084W-A" in titles, abstracts, or keywords .

  • Antibody-Specific Databases:

    • AbDb (Antibody Structure Database) : No structural records for YER084W-A.

    • PLAbDab (Patent and Literature Antibody Database) : No matches in ~150,000 entries.

    • Thera-SAbDab: No therapeutic antibodies linked to this identifier.

  • Google Patents: No patents reference YER084W-A .

  • Commercial Antibody Catalogs (e.g., Antibody Research Corporation ): No product listings.

Terminology Clarification

  • Yeast Genome Context: "YER084W-A" follows Saccharomyces cerevisiae ORF nomenclature, where:

    • YER: Chromosome V (E=Fifth chromosome, R=Right arm).

    • 084W: ORF position 084 on the Watson strand.

    • -A: Typically denotes a splice variant or alternate annotation.
      This identifier is not associated with antibodies but rather hypothetical yeast genes.

Potential Misidentification

  • Typographical Errors: Similar identifiers (e.g., "YER134W-A") exist but are unrelated to antibodies.

  • Proprietary Research: The term might refer to an internal project or unpublished antibody.

Comparative Analysis of Antibody Naming Conventions

Established antibodies are named based on target antigens, structure, or clinical trial codes (e.g., "MAD0004J08" , "10D12 VH1-11C12 VH2" ). Examples include:

Antibody NameTarget/FunctionSource
MAD0004J08SARS-CoV-2 spike proteinClinical trial
3F10Influenza HA epitope YPYDVPDYAPatent
10D12 VH1-11C12 VH2SARS-CoV-2 Omicron variantsResearch study

None align with the "YER084W-A" nomenclature.

Recommendations for Further Inquiry

  • Consult Yeast Genome Databases: Explore Saccharomyces Genome Database (SGD) for YER084W-A’s genomic context.

  • Verify Source Documentation: Request clarifications from the entity that provided the term.

  • Explore Hypothetical Proteins: If YER084W-A is a yeast protein, investigate whether it has been recombinantly expressed as an antigen for antibody development.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
YER084W-A antibody; Putative uncharacterized membrane protein YER084W-A antibody
Target Names
YER084W-A
Uniprot No.

Target Background

Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

What is YER084W-A and why is it studied in yeast research?

YER084W-A is a putative uncharacterized membrane protein in Saccharomyces cerevisiae that has gained attention in fundamental studies of yeast membrane biology. While its exact function remains to be fully elucidated, researchers typically investigate this protein to understand membrane protein organization, trafficking, and function in eukaryotic systems. The protein is studied using various techniques including immunological methods that rely on specific antibodies targeting YER084W-A. As a membrane protein in a model organism, it provides valuable insights into conserved cellular processes that may have implications for understanding similar proteins in more complex eukaryotes .

What types of YER084W-A antibodies are available for research applications?

Currently, the primary antibody available for YER084W-A research is a rabbit polyclonal antibody that specifically targets this Saccharomyces cerevisiae membrane protein. This antibody has been produced using antigen-affinity purification techniques to ensure specificity and reduced background. The antibody is of the IgG isotype, which is advantageous for most standard laboratory applications. While monoclonal alternatives are not widely available, the existing polyclonal option has been validated for applications including Western blotting and ELISA, making it suitable for detecting native and denatured forms of the protein in different experimental contexts .

How is antibody specificity for YER084W-A validated in experimental systems?

Validating antibody specificity for YER084W-A involves multiple complementary approaches:

  • Positive control testing: Using purified recombinant YER084W-A protein or lysates from wild-type yeast strains known to express the protein.

  • Negative control validation: Testing against lysates from YER084W-A knockout strains to confirm absence of signal.

  • Cross-reactivity assessment: Examining potential binding to other yeast membrane proteins through comparative Western blot analysis of various yeast strains and fractions.

  • Peptide competition assays: Pre-incubating the antibody with the immunizing peptide before application to verify that specific epitopes are recognized.

  • Orthogonal method confirmation: Correlating antibody-based detection with results from other methods such as mass spectrometry or RNA expression analysis.

This multi-faceted validation approach ensures that experimental observations genuinely reflect YER084W-A biology rather than artifacts from non-specific antibody interactions.

What are the optimal protocols for using YER084W-A antibodies in Western blot applications?

The optimal Western blot protocol for YER084W-A detection requires specific considerations due to its membrane protein nature:

  • Sample preparation:

    • Use membrane fraction extraction buffers containing 1% Triton X-100 or similar non-ionic detergents

    • Include protease inhibitor cocktails optimized for yeast proteins

    • Heat samples at 37°C rather than boiling to prevent aggregation

  • Gel electrophoresis conditions:

    • Use 12-15% polyacrylamide gels for optimal resolution

    • Load 15-30 μg of membrane protein fraction per lane

  • Transfer parameters:

    • Wet transfer at 30V overnight at 4°C for efficient membrane protein transfer

    • Use PVDF membranes (0.45 μm pore size) pre-activated with methanol

  • Blocking and antibody incubation:

    • Block with 5% non-fat dry milk in TBS-T for 2 hours at room temperature

    • Dilute primary YER084W-A antibody 1:1000 in 2% milk TBS-T

    • Incubate overnight at 4°C with gentle rocking

    • Wash 4× with TBS-T, 10 minutes each

    • Use anti-rabbit HRP-conjugated secondary antibody at 1:5000 dilution

  • Detection:

    • Enhanced chemiluminescence with 2-minute exposure as starting point

    • Expected molecular weight: Confirm against theoretical prediction from sequence

These optimized conditions maximize signal-to-noise ratio while preserving the native conformation of epitopes for antibody recognition .

How can YER084W-A antibodies be effectively used in immunoprecipitation experiments?

For successful immunoprecipitation of YER084W-A, the following methodological approach is recommended:

  • Cell lysis optimization:

    • Use mild detergent buffers (1% digitonin or 0.5-1% NP-40) supplemented with 150-250 mM NaCl

    • Include membrane solubilization agents specific for yeast (e.g., zwitterionic detergents)

    • Perform lysis at 4°C for 30-45 minutes with gentle rotation

  • Pre-clearing strategy:

    • Pre-clear lysates with Protein A/G beads for 1 hour at 4°C

    • Remove non-specific binding proteins by brief centrifugation (1,000 × g for 5 minutes)

  • Antibody coupling:

    • Use 2-5 μg of YER084W-A antibody per 500 μg of protein lysate

    • Pre-couple antibody to Protein A beads for 1 hour before adding lysate

    • Alternatively, use direct covalent coupling to activated beads for cleaner results

  • Washing conditions:

    • Perform 5-6 washes with decreasing salt concentration buffers

    • Final wash should be with detergent-free buffer to remove residual detergents

  • Elution techniques:

    • Gentle elution with 0.1 M glycine (pH 2.5) for 10 minutes

    • Alternatively, use competition with excess immunizing peptide

  • Verification:

    • Confirm successful immunoprecipitation by Western blot using a different YER084W-A antibody or epitope tag if available

This protocol accounts for the hydrophobic nature of membrane proteins and optimizes conditions for maintaining protein-protein interactions that may be biologically relevant to YER084W-A function.

What considerations should be made when designing ELISA assays with YER084W-A antibodies?

When designing ELISA assays for YER084W-A detection, researchers should consider the following methodological factors:

Table 1: ELISA Optimization Parameters for YER084W-A Detection

ParameterRecommended ConditionRationale
Plate coating100 μL of 10 μg/mL YER084W-A recombinant protein or 5 μg/mL capture antibodyEnsures sufficient antigen presentation while minimizing non-specific binding
Blocking buffer3% BSA in PBS with 0.05% Tween-20Superior to milk-based blockers for membrane protein detection
Sample preparationMembrane fraction solubilized in 0.5% CHAPS or octylglucosideMaintains native epitope conformation of membrane proteins
Primary antibody dilution1:500 to 1:2000 (determine empirically)Finding optimal concentration maximizes signal while minimizing background
Detection systemHRP-conjugated secondary with TMB substrateOffers superior sensitivity compared to AP-based systems for this application
Signal development20-30 minutes at room temperature in darkOptimal time window for detecting YER084W-A without signal saturation
Positive controlsPurified recombinant YER084W-A at known concentrationsEssential for generating standard curves and assay validation
Negative controlsMembrane fractions from YER084W-A knockout strainsConfirms specificity of detection

To validate ELISA results, perform parallel Western blot analysis on the same samples to confirm consistency between detection methods. Additionally, consider sandwich ELISA approaches if studying YER084W-A in complex biological samples to improve specificity .

How can epitope mapping be performed to characterize YER084W-A antibody binding sites?

Epitope mapping for YER084W-A antibodies requires sophisticated approaches due to the membrane protein nature of the target. A comprehensive strategy includes:

  • Peptide array analysis:

    • Generate overlapping 15-20 amino acid peptides spanning the entire YER084W-A sequence

    • Synthesize peptides on cellulose membranes using SPOT synthesis

    • Probe arrays with the YER084W-A antibody followed by detection with labeled secondary antibody

    • Identify reactive peptides to define linear epitopes

  • Alanine scanning mutagenesis:

    • Create point mutations in the YER084W-A sequence, systematically replacing each amino acid with alanine

    • Express mutant proteins in yeast expression systems

    • Test antibody binding through immunoblotting or ELISA

    • Identify critical residues where mutation abolishes antibody recognition

  • Hydrogen-deuterium exchange mass spectrometry (HDX-MS):

    • Compare deuterium uptake patterns of YER084W-A protein alone versus antibody-bound complex

    • Regions with reduced deuterium uptake in the presence of antibody represent potential binding sites

    • This approach is particularly valuable for conformational epitopes

  • X-ray crystallography or Cryo-EM:

    • For definitive epitope mapping, determine the structure of YER084W-A fragment-antibody complexes

    • This approach provides atomic-level resolution of the interaction interface

Understanding the precise epitope recognized by YER084W-A antibodies allows researchers to better interpret experimental results, especially when comparing data across different antibody clones or when studying protein-protein interactions that might involve the same binding region.

What approaches can be used to study post-translational modifications of YER084W-A using antibody-based methods?

Studying post-translational modifications (PTMs) of YER084W-A requires specialized antibody-based techniques:

  • Modification-specific antibody development:

    • Generate antibodies specifically targeting predicted phosphorylation, glycosylation, or ubiquitination sites

    • Validate using synthetic peptides containing the modified residue

    • Confirm specificity against unmodified YER084W-A

  • Phosphorylation analysis workflow:

    • Treat yeast cultures with phosphatase inhibitors before lysis

    • Immunoprecipitate YER084W-A using the validated antibody

    • Analyze by Western blot with phospho-specific antibodies

    • Confirm with mass spectrometry analysis of immunoprecipitated material

    • Compare results under different physiological conditions to identify regulatory events

  • Glycosylation assessment strategy:

    • Treat samples with endoglycosidases (PNGase F, Endo H) before immunoblotting

    • Compare mobility shifts to identify N-linked glycosylation

    • Use lectins in combination with YER084W-A antibodies for dual detection systems

  • Ubiquitination detection method:

    • Co-immunoprecipitate YER084W-A with anti-ubiquitin antibodies

    • Perform reverse immunoprecipitation with YER084W-A antibody followed by ubiquitin detection

    • Use deubiquitinating enzyme inhibitors during sample preparation

These approaches allow for comprehensive characterization of YER084W-A PTMs, providing insights into regulatory mechanisms and potential functional states of this membrane protein under various cellular conditions.

How can super-resolution microscopy be combined with YER084W-A antibodies to study membrane protein localization?

Combining super-resolution microscopy with YER084W-A antibody staining requires specific methodological considerations:

  • Sample preparation for optimal resolution:

    • Fix yeast cells with 4% paraformaldehyde supplemented with 0.1% glutaraldehyde

    • Perform mild cell wall digestion with zymolyase (5-10 U/mL, 10 minutes at 30°C)

    • Permeabilize with 0.1% Triton X-100 for precisely 5 minutes

    • Block with 3% BSA containing 0.1% saponin to maintain membrane structure

  • Antibody labeling strategy:

    • Use primary YER084W-A antibody at 1:100 dilution (higher concentration than for conventional microscopy)

    • Label with secondary antibodies conjugated to photoswitchable fluorophores (Alexa Fluor 647 or Atto 488)

    • For dual-color imaging, combine with organelle markers using spectrally distinct fluorophores

  • STORM/PALM imaging parameters:

    • Imaging buffer: 100 mM MEA in oxygen scavenging system (glucose oxidase/catalase)

    • Power density: 1-5 kW/cm² at 642 nm (for Alexa 647)

    • Frame rate: 50-100 Hz for 20,000-50,000 frames

    • Localization precision: aim for 10-15 nm

  • Data analysis workflow:

    • Apply drift correction using fiducial markers

    • Filter localizations based on photon count (>1000 photons)

    • Perform cluster analysis using DBSCAN or Ripley's K-function

    • Quantify co-localization with other membrane proteins using coordinate-based approaches

  • Validation controls:

    • YER084W-A knockout strains as negative controls

    • Correlation with electron microscopy for nanoscale distribution

    • Co-localization with known interacting partners

This approach enables nanoscale visualization of YER084W-A distribution within yeast membranes, providing insights into its functional organization and potential interactions with other cellular components.

How can researchers address non-specific binding issues when using YER084W-A antibodies?

Non-specific binding is a common challenge when working with antibodies against membrane proteins like YER084W-A. Here's a comprehensive troubleshooting approach:

  • Systematic optimization of blocking conditions:

    • Test multiple blocking agents (BSA, casein, commercial blockers) at varying concentrations (1-5%)

    • Extend blocking time to 2-3 hours at room temperature or overnight at 4°C

    • Add 0.1-0.3% Tween-20 to blocking buffer to reduce hydrophobic interactions

  • Antibody dilution optimization:

    • Perform titration experiments with serial dilutions (1:500 to 1:5000)

    • Prepare antibody dilutions in fresh blocking buffer

    • Pre-adsorb antibody with lysates from YER084W-A knockout yeast

  • Wash buffer modifications:

    • Increase NaCl concentration (150 mM to 500 mM) to disrupt weak electrostatic interactions

    • Add 0.05-0.1% SDS to TBS-T for Western blot applications

    • Increase number and duration of wash steps (6× washes, 10 minutes each)

  • Cross-reactivity elimination strategy:

    • Pre-incubate antibody with yeast lysate from YER084W-A knockout strains

    • Use peptide competition assays to confirm signal specificity

    • Consider affinity purification of antibody against immobilized antigen

  • Alternative detection methods:

    • Switch from colorimetric to fluorescent secondary antibodies

    • Use polymer-based detection systems with higher specificity

    • Consider proximity ligation assays for increased specificity

Table 2: Systematic Troubleshooting for Non-specific Binding

IssuePotential CauseSolutionExpected Outcome
Multiple bands on Western blotCross-reactivity with related proteinsIncrease antibody dilution to 1:2000, add 0.1% SDS to wash bufferSingle specific band at expected MW
High background in IF/ICCInsufficient blockingBlock with 5% BSA + 2% normal serum of secondary antibody speciesReduced background with maintained specific signal
False positives in IPDirect binding to beadsPre-clear lysates twice, use IgG control, cross-link antibody to beadsCleaner IP with fewer contaminants
High background in ELISAHydrophobic binding to plateUse specialized blocking buffer with 0.2% Tween-20 and 0.1% Triton X-100Improved signal-to-noise ratio

Implementing these strategies systematically while maintaining appropriate controls will help researchers distinguish true YER084W-A signal from non-specific interactions .

What are the best approaches for antibody validation when studying low-abundance membrane proteins like YER084W-A?

Validating antibodies against low-abundance membrane proteins like YER084W-A requires rigorous approaches:

  • Multi-technique validation strategy:

    • Combine at least three independent methods (e.g., Western blot, IP-MS, IF/ICC)

    • Compare results across techniques to confirm consistent detection patterns

    • Document all validation experiments with appropriate controls

  • Genetic validation approaches:

    • Test antibody against samples from:

      • YER084W-A knockout strains (negative control)

      • YER084W-A overexpression strains (positive control)

      • Tagged YER084W-A strains (correlation between antibody and tag detection)

  • Orthogonal detection methods:

    • Compare antibody-based detection with mass spectrometry results

    • Correlate protein detection with mRNA expression analysis

    • Use multiple antibodies targeting different epitopes of YER084W-A

  • Signal enrichment techniques for low abundance targets:

    • Implement subcellular fractionation to concentrate membrane proteins

    • Use membrane protein extraction kits optimized for yeast

    • Apply signal amplification techniques like tyramide signal amplification for IHC/ICC

    • Consider proximity ligation assays for improved sensitivity

  • Quantitative validation approach:

    • Develop standard curves using recombinant YER084W-A

    • Determine limit of detection and quantification

    • Assess dynamic range of detection methods

    • Evaluate performance across different sample types and concentrations

These comprehensive validation strategies ensure that experimental observations genuinely reflect YER084W-A biology rather than technical artifacts, particularly important when dealing with low-abundance membrane proteins where signal-to-noise ratios can be challenging.

How can researchers troubleshoot issues with YER084W-A antibody performance across different yeast strains?

When YER084W-A antibody performance varies across yeast strains, consider the following methodological troubleshooting approach:

  • Strain-specific expression analysis:

    • Quantify YER084W-A mRNA levels by RT-qPCR across strains

    • Compare protein levels using quantitative Western blot

    • Create a strain expression profile to establish expected signal intensities

  • Sequence variation assessment:

    • Sequence the YER084W-A gene in each strain

    • Identify polymorphisms that might affect antibody epitopes

    • Map variations to predicted protein structure

    • Consider designing strain-specific antibodies if variations are significant

  • Cell wall and membrane composition differences:

    • Optimize lysis conditions for each strain (adjust zymolyase treatment)

    • Test different detergent combinations for membrane protein extraction

    • Adjust solubilization conditions based on strain-specific membrane compositions

  • Protocol modifications for specific strains:

    • Adjust antibody concentration based on expression levels

    • Modify incubation times for low-expressing strains

    • Implement signal enhancement techniques for strains with weak signals

  • Strain-specific matrix effects elimination:

    • Prepare strain-matched blocking solutions using lysates from YER084W-A knockout versions

    • Perform pre-absorption of antibodies with lysates from non-expressing strains

    • Include strain-specific competitors to reduce background

By systematically addressing these strain-specific variables, researchers can develop optimized protocols for consistent YER084W-A detection across diverse yeast genetic backgrounds, enabling more reliable comparative studies.

How should researchers interpret discrepancies between antibody-based detection methods for YER084W-A?

When faced with discrepancies between different antibody-based detection methods for YER084W-A, researchers should follow this analytical framework:

  • Method-specific epitope accessibility analysis:

    • Evaluate how sample preparation affects protein conformation

    • Consider that Western blot (denatured) may detect epitopes hidden in native conditions

    • Map epitope locations relative to membrane-spanning domains

    • Determine if fixation methods for microscopy might mask certain epitopes

  • Quantitative comparison approach:

    • Establish detection limits for each method

    • Compare signal-to-noise ratios across techniques

    • Determine if discrepancies are qualitative or quantitative

    • Use purified standards to calibrate each method

  • Validation through orthogonal techniques:

    • Confirm results with non-antibody methods (mass spectrometry, RNA-seq)

    • Use genetic approaches (knockdown/knockout) to verify specificity

    • Employ tagged versions of YER084W-A as internal controls

  • Reconciliation strategy for conflicting data:

    • Create a decision matrix weighing evidence from each method

    • Consider biological context (cell type, conditions) in interpretation

    • Develop a consensus model that accounts for methodological limitations

    • Present multiple lines of evidence rather than relying on a single technique

  • Systematic sources of variation:

    • Evaluate batch effects in antibody performance

    • Consider how buffer conditions affect epitope recognition

    • Assess how post-translational modifications might impact detection

By applying this structured analytical approach, researchers can resolve apparent contradictions between methods and develop a more nuanced understanding of YER084W-A biology that accounts for the technical limitations of each detection system.

What statistical approaches are recommended for analyzing quantitative data generated with YER084W-A antibodies?

For robust statistical analysis of quantitative data generated with YER084W-A antibodies, researchers should implement the following methodological framework:

  • Experimental design considerations:

    • Perform power analysis to determine appropriate sample sizes

    • Include biological replicates (n ≥ 3) and technical replicates (n ≥ 3)

    • Design balanced experiments with appropriate controls

    • Consider randomization and blinding where applicable

  • Data normalization strategies:

    • Normalize YER084W-A signals to stable reference proteins (e.g., Pgk1p for yeast)

    • Apply global normalization methods for large-scale experiments

    • Use internal standards for absolute quantification

    • Consider specialized normalization for membrane proteins

  • Statistical test selection:

    • For comparing two conditions: paired t-test or Wilcoxon signed-rank test

    • For multiple conditions: ANOVA with appropriate post-hoc tests

    • For non-normally distributed data: non-parametric alternatives

    • For time-course experiments: repeated measures ANOVA or mixed models

  • Advanced statistical approaches:

    • Apply linear mixed-effects models to account for batch effects

    • Use Bayesian approaches for small sample sizes

    • Implement ANCOVA when controlling for covariates

    • Consider machine learning for complex pattern recognition

  • Robust reporting of statistical outcomes:

    • Report effect sizes along with p-values

    • Include confidence intervals for all measurements

    • Clearly state which statistical tests were applied

    • Document outlier handling and exclusion criteria

Table 3: Statistical Methods for Different Experimental Designs with YER084W-A Antibodies

Experimental DesignRecommended Statistical ApproachKey ConsiderationsReporting Requirements
Simple comparison (WT vs. mutant)Student's t-test or Mann-WhitneyTest for normality firstp-value, effect size, confidence intervals
Multiple strain comparisonOne-way ANOVA with Tukey post-hocTest for equal variancesF-statistic, degrees of freedom, post-hoc p-values
Time course experimentsRepeated measures ANOVAAccount for sphericityTime × treatment interaction p-values
Dose-response studiesNon-linear regressionConsider EC50 calculationsModel parameters, goodness of fit metrics
Correlation with other proteinsPearson's or Spearman's correlationCheck for linearity assumptionsCorrelation coefficient, p-value, scatter plots

How can researchers integrate antibody-based YER084W-A data with other -omics datasets for systems biology approaches?

Integrating antibody-based YER084W-A data with other -omics datasets requires sophisticated computational and experimental approaches:

  • Multi-omics data collection strategy:

    • Collect antibody-based protein expression/localization data

    • Perform RNA-seq to measure transcript levels

    • Consider phosphoproteomics to identify regulatory sites

    • Collect interactome data through co-IP-MS approaches

    • Generate metabolomics data to link to functional outcomes

  • Data integration framework:

    • Normalize datasets to allow cross-platform comparison

    • Apply dimensionality reduction techniques (PCA, t-SNE)

    • Implement network analysis algorithms

    • Use Bayesian integration methods for heterogeneous data types

    • Consider machine learning approaches for pattern recognition

  • Correlation analysis methodology:

    • Calculate Pearson or Spearman correlations between protein and mRNA levels

    • Identify discordant expression patterns indicating post-transcriptional regulation

    • Perform time-lagged correlation analysis for dynamic processes

    • Apply partial correlation methods to identify direct vs. indirect relationships

  • Network reconstruction approach:

    • Use antibody-based interaction data as high-confidence edges

    • Integrate with published yeast interactome datasets

    • Apply algorithms to identify modules and communities

    • Use Bayesian networks to infer causality when possible

  • Functional validation strategy:

    • Design targeted experiments to validate computational predictions

    • Use genetic perturbations to test network model predictions

    • Employ time-resolved studies to confirm dynamic relationships

    • Develop reporter systems to monitor predicted regulatory events

This integrative approach enables researchers to place YER084W-A in its broader biological context, moving beyond isolated observations to understand its role within the complex cellular machinery of yeast cells. The resulting systems-level insights can generate novel hypotheses about YER084W-A function and regulation that might not be apparent from antibody-based studies alone.

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