YLR162W 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
YLR162W; Protein YLR162W
Target Names
YLR162W
Uniprot No.

Target Background

Function
Overexpression of this antibody confers resistance to the antimicrobial peptide MiAMP1.
Database Links

KEGG: sce:YLR162W

STRING: 4932.YLR162W

Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

What is YLR162W and what is its function in Saccharomyces cerevisiae?

YLR162W is an uncharacterized S. cerevisiae ORF located approximately 20 kb upstream of the chromosomal rDNA repeat in chromosome XII. It likely originated from a duplication event, as its third half and attached flanking region (about 1 kb) shows more than 99% similarity to the reverse complement of the 25S rRNA coding region . The gene encodes a hypothetical membrane protein with a molecular mass of 13,055 Da containing 118 amino acids with one putative transmembrane domain (residues 37-53) .

Functionally, YLR162W appears to have growth inhibitory properties, particularly during exposure to hypoxic conditions. Its expression induces cell cycle arrest, decreases mitochondrial membrane potential, and promotes cell death with characteristics of apoptosis . The protein has been classified as a type-2 membrane protein that lacks a cleavable signal sequence and displays an N-terminal extracellular and C-terminal cytoplasmic orientation .

How is YLR162W expression regulated under different environmental conditions?

YLR162W expression varies significantly under different environmental conditions:

ConditionExpression ChangeNotes
Environmental stressIncreasedGeneral stress response
α-factor responseIncreased (50-fold)Mating pheromone response
Stationary phaseIncreasedNon-replicating cells
High-pressure stressIncreasedPhysical stress response
Mg²⁺ starvationIncreasedNutritional stress
Oxidative stressDecreasedRedox imbalance
Reductive stressDecreasedRedox imbalance
Hypoxia followed by reoxygenationDecreasedIn both glucose and galactose media
Cobalt chloride exposureDecreasedHypoxia-mimetic conditions

The up-regulation of YLR162W in stressed and non-replicating cells appears related to its growth inhibitory properties. This suggests YLR162W may be part of the cellular stress response mechanism that inhibits cell proliferation during exposure to adverse conditions, potentially conserving cellular ATP reserves required for adaptation .

What are the best methods for validating YLR162W antibody specificity?

Validating antibody specificity for YLR162W requires multiple complementary approaches:

  • Western blotting with positive and negative controls:

    • Compare wild-type strains with YLR162W deletion mutants

    • Include strains with tagged YLR162W (e.g., HA-tag or FLAG-tag) as positive controls

    • Test antibody against recombinant YLR162W protein

  • Immunofluorescence microscopy validation:

    • Compare localization patterns between wild-type and deletion strains

    • Co-localization studies with known membrane markers (as YLR162W is a putative membrane protein)

    • Controls using secondary antibody alone to detect non-specific binding

  • Peptide competition assay:

    • Pre-incubate antibody with excess synthetic YLR162W peptide

    • Loss of signal indicates antibody specificity for YLR162W

  • Immunoprecipitation followed by mass spectrometry:

    • Confirm the identity of immunoprecipitated proteins

    • Assess potential cross-reactivity with related proteins

These validation methods are particularly important for YLR162W antibodies since the protein has similarities to rRNA coding regions, which may lead to cross-reactivity issues .

How can YLR162W antibodies be used to study protein localization during hypoxic stress?

YLR162W antibodies can serve as valuable tools for studying protein localization changes during hypoxic stress through several methodological approaches:

  • Immunofluorescence microscopy during hypoxia progression:

    • Culture yeast cells in normoxic conditions

    • Induce hypoxia using cobalt chloride (0.75 mM) as a hypoxia-mimetic agent

    • Fix cells at regular intervals (0, 30, 60, 120, 180 minutes)

    • Immunostain with anti-YLR162W antibodies

    • Counter-stain with organelle markers (mitochondria, ER, plasma membrane)

    • Analyze using confocal microscopy to track localization changes

  • Subcellular fractionation with immunoblotting:

    • Separate cellular components (cytosol, mitochondria, ER, plasma membrane)

    • Perform Western blotting with YLR162W antibodies on each fraction

    • Quantify relative distribution changes during hypoxia induction

    • Include Ole1p detection as a positive control for hypoxic response

  • Correlative immunoelectron microscopy:

    • Precisely localize YLR162W at the ultrastructural level

    • Determine association with specific membrane domains

    • Monitor changes in protein density at different membranes during hypoxia

These approaches are particularly relevant since YLR162W has been classified as a type-2 membrane protein with one putative transmembrane domain (residues 37-53), and cells expressing YLR162W are extremely susceptible to hypoxic conditions induced by CoCl₂ .

What is the relationship between YLR162W expression and mitochondrial function?

YLR162W expression significantly impacts mitochondrial function, particularly membrane potential:

  • Mitochondrial membrane potential decrease:

    • Within 30 minutes of YLR162W induction, mitochondrial membrane potential (ψₘ) begins decreasing

    • Potential continues to decrease for at least the next 30 minutes

    • This decrease occurs independently of CoCl₂ exposure

  • Experimental methodology for measuring ψₘ changes:

    • Culture cells in galactose media to induce YLR162W expression

    • At set time points (0, 15, 30, 60 minutes), collect cell samples

    • Stain with JC-1 or other potentiometric dyes

    • Analyze using flow cytometry to quantify membrane potential shifts

    • Compare with controls lacking YLR162W induction

  • Proposed mechanism:

    • YLR162W appears to trigger apoptotic-like death in yeast

    • Mitochondrial membrane depolarization is an early event in this process

    • The effect occurs rapidly following protein expression

    • The mitochondrial effects likely contribute to the cell cycle inhibition observed in YLR162W-expressing cells

The relationship between YLR162W and mitochondrial dysfunction provides an interesting model system for studying stress-induced apoptotic mechanisms in yeast cells.

How does YLR162W expression affect cell cycle progression and what methods best capture these effects?

YLR162W expression significantly disrupts normal cell cycle progression, with several distinctive effects:

  • Cell cycle inhibition pattern:

    • Following α-factor synchronization and release, cells initially enter S phase (15-30 minutes)

    • Cells fail to progress to G2 phase

    • Sub-G1 and G1 peaks re-emerge (45 minutes onwards)

    • The presence of a sub-G1 peak indicates apoptotic cells

  • Optimized flow cytometry protocol:

    • Synchronize cells with α-factor (5 μg/ml) overnight

    • Induce YLR162W expression in galactose media

    • Fix cells at 15-minute intervals

    • Stain with propidium iodide for DNA content

    • Collect 10,000 events per sample

    • Generate FL2-A histograms for cell cycle distribution analysis

  • Cell viability assessment:

    • Determine percentage of dead cells using PI exclusion assay

    • YLR162W expression increases the proportion of PI-permeable cells

    • This effect is not further enhanced by CoCl₂ treatment

  • Checkpoint involvement analysis:

    • YLR162W's inhibitory effects persist in checkpoint mutants (chk1Δ, rad9Δ, dun1Δ)

    • Suggests the apoptotic pathway is independent of these checkpoint functions

    • Supports the existence of checkpoint-independent apoptotic pathways in yeast

These methodological approaches effectively capture the complex cell cycle effects of YLR162W expression and provide insights into potential mechanisms of action.

What are the challenges in generating specific antibodies against YLR162W?

Generating specific antibodies against YLR162W presents several challenges researchers should consider:

  • Sequence similarity issues:

    • YLR162W's third half and attached flanking region shows >99% similarity to the reverse complement of 25S rRNA coding region

    • This homology increases risk of cross-reactivity with other cellular components

  • Transmembrane domain considerations:

    • YLR162W contains a putative transmembrane domain (residues 37-53)

    • Transmembrane regions are often poorly immunogenic and difficult to access

    • Antibodies targeting these regions may have limited utility in certain applications

  • Protein size limitations:

    • YLR162W is a relatively small protein (118 amino acids, 13,055 Da)

    • Limited number of potential epitopes for antibody generation

    • Requires careful epitope selection to avoid cross-reactivity

  • Recommended antibody generation strategy:

    • Use recombinant protein expression systems for the full-length protein

    • Select multiple peptide antigens from unique regions of YLR162W

    • Avoid the transmembrane domain for peptide-based approaches

    • Employ differential screening against related sequences

    • Validate using YLR162W deletion strains as negative controls

  • Expression level challenges:

    • YLR162W expression varies significantly under different conditions

    • Low baseline expression may require sensitive detection methods

    • Consider using inducible expression systems for positive controls

What protocols are most effective for studying YLR162W interactions with other proteins?

To effectively study YLR162W interactions with other proteins, researchers should consider the following methodological approaches:

  • Co-immunoprecipitation (Co-IP) protocol:

    • Express epitope-tagged YLR162W (HA or FLAG) under native promoter

    • Lyse cells under gentle conditions to preserve membrane protein interactions

    • Use crosslinking agents to stabilize transient interactions

    • Immunoprecipitate with anti-tag antibodies

    • Analyze interacting partners by mass spectrometry

  • Proximity-based labeling approaches:

    • Fuse YLR162W to BioID or TurboID enzyme

    • Allow in vivo biotinylation of proximal proteins

    • Purify biotinylated proteins with streptavidin

    • Identify interaction partners by mass spectrometry

    • Especially useful for membrane protein interactions

  • Yeast two-hybrid membrane system:

    • Use split-ubiquitin membrane yeast two-hybrid system

    • Screen against libraries of membrane and soluble proteins

    • Validate interactions with orthogonal methods

    • Focus on proteins involved in stress response and apoptosis pathways

  • Systematic genetic interaction screening:

    • Generate synthetic genetic arrays with YLR162W deletion or overexpression

    • Identify genetic interactions suggesting functional relationships

    • Focus on genes involved in hypoxia response, cell cycle control, and apoptosis

    • Validate protein interactions for genes with strong genetic interactions

These approaches are particularly relevant given YLR162W's apparent role in stress response, apoptosis induction, and mitochondrial function.

How can researchers effectively use YLR162W antibodies to study its role during environmental stress?

Researchers can effectively employ YLR162W antibodies to investigate its role during environmental stress through several methodological approaches:

  • Time-course expression analysis:

    • Expose yeast cultures to various stressors (hypoxia, high pressure, α-factor, nutrient limitation)

    • Collect samples at regular intervals (0, 15, 30, 60, 120, 240 minutes)

    • Perform Western blotting with YLR162W antibodies

    • Quantify expression changes relative to loading controls

    • Compare with transcript levels using qRT-PCR

  • Chromatin immunoprecipitation (ChIP) studies:

    • Identify transcription factors regulating YLR162W during stress

    • Cross-link proteins to DNA during stress response

    • Immunoprecipitate with antibodies against candidate transcription factors

    • Determine enrichment at the YLR162W promoter by qPCR

    • Map the stress-responsive elements in the promoter region

  • Subcellular relocalization during stress:

    • Track YLR162W localization changes during stress exposure

    • Use immunofluorescence microscopy with YLR162W antibodies

    • Co-stain with organelle markers to identify compartment-specific changes

    • Quantify distribution changes using image analysis software

  • Experimental design for CoCl₂-induced hypoxia:

    • Grow cells to log phase in appropriate media

    • Add CoCl₂ at 0.75 mM final concentration

    • Include Ole1p detection as a positive control for hypoxic response

    • Compare YLR162W protein levels with transcript abundance

    • Assess correlation with mitochondrial membrane potential changes

These methodological approaches allow researchers to comprehensively investigate YLR162W's dynamic expression and functional role during various stress conditions.

How do YLR162W expression patterns differ between wild-type and stress-response mutants?

Understanding the differential expression patterns of YLR162W between wild-type and stress-response mutants provides insights into its regulatory network:

  • Comparison across stress-response pathway mutants:

    Strain TypeBasal YLR162W ExpressionExpression During HypoxiaExpression in Stationary Phase
    Wild-type (BY4741)LowDecreasedIncreased
    Hog1Δ (osmotic stress)Similar to WTModerately decreasedIncreased
    Msn2/4Δ (general stress)Lower than WTSignificantly decreasedModerately increased
    Hap1Δ (oxygen sensing)Higher than WTNo significant changeIncreased

    Note: This table is constructed based on general principles of stress response pathways and the known expression patterns of YLR162W; specific data for all mutants is not provided in the search results .

  • Methodological approach for expression analysis:

    • Culture wild-type and mutant strains under identical conditions

    • Expose to specific stressors (CoCl₂, nutrient limitation, α-factor)

    • Collect samples for protein and RNA analysis

    • Perform Western blotting with YLR162W antibodies

    • Conduct qRT-PCR for transcript quantification

    • Normalize expression to appropriate reference genes

  • Key regulatory factors:

    • YLR162W expression is significantly elevated in cells overexpressing MLH1

    • This suggests a potential connection to genomic instability and mutation rate

    • Expression is also linked to α-factor response pathways

    • The specific transcription factors mediating these responses remain to be fully characterized

What are the implications of YLR162W's apoptotic effects for the study of programmed cell death in yeast?

YLR162W's apoptotic effects provide valuable insights into programmed cell death mechanisms in yeast:

  • Apoptotic characteristics induced by YLR162W:

    • Cell cycle arrest with emergence of a distinct sub-G1 peak

    • Decreased mitochondrial membrane potential

    • Increased permeability to propidium iodide

    • These effects occur independently of CoCl₂ exposure

  • Methodological approach for studying YLR162W-induced apoptosis:

    • Use flow cytometry to analyze DNA content and sub-G1 population

    • Measure mitochondrial membrane potential with potentiometric dyes

    • Assess plasma membrane integrity with PI exclusion assays

    • Examine nuclear morphology and chromatin condensation

    • Test for phosphatidylserine externalization using Annexin V

  • Checkpoint independence:

    • YLR162W's inhibitory effects persist in checkpoint mutants (chk1Δ, rad9Δ, dun1Δ)

    • Suggests the existence of checkpoint-independent apoptotic pathways

    • Provides a model system for studying alternative cell death mechanisms

    • May share features with certain forms of mammalian programmed cell death

  • Research applications:

    • YLR162W could serve as a tool for inducing controlled apoptosis in yeast

    • The system allows temporal control through inducible expression

    • Provides insights into connections between environmental stress and cell death

    • May identify conserved mechanisms relevant to higher eukaryotes

How can structural biology approaches enhance our understanding of YLR162W function?

Structural biology approaches offer significant potential to elucidate YLR162W's molecular function:

  • Structural prediction and analysis:

    • YLR162W is a small protein (118 amino acids) with one putative transmembrane domain

    • Computational modeling can predict secondary and tertiary structure

    • Identification of potential functional domains or motifs

    • Comparison with structurally characterized proteins may provide functional insights

  • Experimental structural determination approaches:

    • X-ray crystallography of the soluble domains

    • NMR spectroscopy for structural characterization

    • Cryo-electron microscopy for membrane-embedded regions

    • Hydrogen-deuterium exchange mass spectrometry for conformational dynamics

  • Structure-function relationship studies:

    • Site-directed mutagenesis of conserved residues

    • Deletion or substitution of the transmembrane domain

    • Creation of chimeric proteins with related sequences

    • Correlation of structural features with apoptotic function

  • Antibody applications in structural studies:

    • Epitope mapping to identify surface-exposed regions

    • Use of antibodies to lock specific conformations

    • Antibody fragments as crystallization chaperones

    • Validation of predicted structural features

  • Potential structural insights into mechanism:

    • How YLR162W interacts with mitochondrial membranes

    • Structural changes during apoptosis induction

    • Potential oligomerization during function

    • Interaction interfaces with other proteins

These structural approaches, combined with functional studies, would significantly advance our understanding of how this small protein exerts its profound effects on cell cycle progression and apoptosis.

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