YGL039W Antibody

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Description

Biological Context of YGL039W

YGL039W encodes an aldehyde reductase that reduces aliphatic aldehydes using NADH as a cofactor. It shares structural similarities with dihydroflavonol 4-reductases and is implicated in redox homeostasis and metabolic regulation .

PropertyDetails
Gene LocusYGL039W
Protein FunctionAldehyde reduction, redox balance
Subcellular LocalizationCytoplasmic (predicted)
Molecular Weight~37 kDa (predicted from sequence)

Research Applications of the YGL039W Antibody

The antibody is critical for:

  • Protein Localization Studies: Detecting YGL039W in cellular compartments via immunofluorescence .

  • Gene Expression Analysis: Quantifying protein levels under stress or genetic perturbations (e.g., glucose signaling mutants) .

  • Toxicity Screens: Identifying growth-inhibitory effects of YGL039W overexpression fragments .

Role in Glucose Signaling

YGL039W expression is upregulated in rgt1Δ mutants, which lack a glucose-sensing transcription factor. Microarray data show a 2.0-fold increase in transcript levels under these conditions :

ConditionFold Change (YGL039W)Significance
rgt1Δ mutant (Gal)↑2.0p < 0.05
snf3Δ rgt2Δ mutant↓0.5Non-significant

This suggests YGL039W is indirectly regulated by glucose-sensing pathways.

Toxicity of Overexpression

Fragments of YGL039W cloned into high-copy plasmids (e.g., insert 156C1) caused growth inhibition when overexpressed, likely due to disrupted protein-protein interactions . The antibody helps validate these phenotypes by confirming protein overexpression.

Experimental Validation

  • ChIP Analysis: While not directly cited for YGL039W, analogous methods (e.g., anti-Htz1 ChIP in ) demonstrate how antibodies are used to study protein-DNA interactions in yeast.

  • Mutant Phenotyping: The antibody confirms protein absence in YGL039W knockout strains, aiding in functional redundancy studies .

Technical Considerations

  • Specificity: The antibody should be validated against knockout strains to rule off-target binding.

  • Cross-Reactivity: No known cross-reactivity with homologous reductases (e.g., YAL061W) .

Future Directions

  • Interaction Networks: Mapping YGL039W’s binding partners using co-immunoprecipitation.

  • Stress Response Roles: Testing antibody utility in oxidative or metabolic stress models.

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
YGL039W antibody; Putative uncharacterized oxidoreductase YGL039W antibody; EC 1.1.1.- antibody
Target Names
YGL039W
Uniprot No.

Q&A

What is YGL039W and how can antibodies against it be validated?

YGL039W is a genetic locus in the Saccharomyces cerevisiae genome from the laboratory strain S288C, as documented in the Saccharomyces Genome Database . When developing or utilizing antibodies against the YGL039W protein, validation is critical for experimental integrity.

Validation should include:

  • Testing against a negative control cell population not expressing the protein of interest to confirm antibody specificity

  • Using isotype controls matching the primary antibody class but with no known specificity to assess background staining

  • Employing secondary antibody controls (cells treated with only labeled secondary antibody) to address non-specific binding

  • Cross-validation with other detection methods such as Western blotting or mass spectrometry

Prior to experimentation, researchers should verify the protein's expression levels in their experimental system. The Saccharomyces Genome Database provides essential information about the protein's molecular characteristics that can inform antibody selection and experimental design .

What fixation and permeabilization methods are recommended for YGL039W antibody applications?

The optimal fixation and permeabilization methods depend on the subcellular localization of the YGL039W protein and the epitope recognized by the antibody. Based on general principles of immunodetection in yeast:

For extracellular domains:

  • Cells can often be used unfixed

  • If fixation is required, mild fixatives such as 1-2% paraformaldehyde may be suitable

  • No permeabilization is typically needed

For intracellular epitopes:

  • Fixation is essential to prevent loss of cellular contents

  • Common fixatives include paraformaldehyde (1-4%) or methanol

  • Permeabilization methods should be selected based on the subcellular compartment where YGL039W is located

  • Mild detergents like 0.1% Triton X-100 for cytoplasmic proteins or stronger treatments for nuclear proteins may be appropriate

Always conduct preliminary experiments to determine which combination of fixation and permeabilization best preserves the target epitope while allowing sufficient antibody penetration.

What controls should be included when using YGL039W antibodies?

Proper controls are essential for interpreting results obtained with YGL039W antibodies. A comprehensive control strategy should include:

  • Unstained cells: To account for autofluorescence, particularly important in yeast cells which can exhibit significant intrinsic fluorescence

  • Negative control cells: Ideally a strain with YGL039W deleted or not expressing the protein to confirm antibody specificity

  • Isotype control: An antibody of the same class as the primary antibody but without specificity for YGL039W, to assess non-specific binding and Fc receptor interactions

  • Secondary antibody control: Cells treated with only the labeled secondary antibody to measure background from secondary antibody binding

  • Positive control: A sample known to express YGL039W at detectable levels to confirm the assay is working properly

These controls help distinguish true signals from experimental artifacts and are particularly important when establishing new protocols or using newly acquired antibodies.

How can YGL039W antibodies be optimized for protein-protein interaction studies?

Antibodies against YGL039W can be powerful tools for studying protein-protein interactions through techniques such as co-immunoprecipitation (co-IP). To optimize these applications:

  • Epitope consideration: Select antibodies that recognize regions of YGL039W not involved in protein-protein interactions to avoid disrupting native complexes. Antibodies targeting the N- or C-terminus may be preferable if the protein's interaction domains are known

  • Buffer optimization: Test different lysis and binding buffers to preserve physiologically relevant interactions while minimizing non-specific binding:

    • Salt concentration (typically 100-150 mM NaCl)

    • Detergent type and concentration (e.g., 0.1-1% NP-40 or Triton X-100)

    • pH (usually 7.4-8.0)

  • Cross-linking considerations: For transient or weak interactions, consider using chemical cross-linkers to stabilize protein complexes before immunoprecipitation

  • Quantitative analysis: Apply quantitative mass spectrometry to distinguish true interactors from background contaminants based on their enrichment compared to controls

The affinity purification coupled to mass spectrometry (AP-MS) approach has been successfully used to study yeast protein complexes, with large-scale studies identifying approximately 30,000 interactions among about 4,000 yeast proteins .

What are the considerations for using YGL039W antibodies in flow cytometry?

Flow cytometry provides valuable quantitative data about YGL039W expression at the single-cell level. Key considerations include:

  • Cell preparation:

    • Ensure >90% cell viability before staining to minimize background from dead cells

    • Use 10^5-10^6 cells per sample for optimal resolution

    • Consider starting with higher cell numbers (e.g., 10^7) if the protocol involves multiple washing steps

  • Blocking strategy:

    • Block with 10% normal serum from the same species as the secondary antibody

    • Consider non-serum blockers if the target protein is highly conserved

    • Use specific Fc receptor blocking solutions if working with cell lines that express Fc receptors

  • Signal optimization:

    • Titrate antibody concentrations to determine optimal signal-to-noise ratio

    • Keep all samples on ice during processing to prevent internalization of membrane antigens

    • Consider using PBS with 0.1% sodium azide to prevent protein internalization

  • Data analysis:

    • Establish clear gating strategies based on appropriate controls

    • Use fluorescence minus one (FMO) controls for multicolor experiments

    • Consider compensation for spectral overlap when using multiple fluorophores

How can genome editing approaches be combined with YGL039W antibody detection?

Modern genome editing techniques can enhance YGL039W antibody-based studies:

  • GFP tagging: Tagging YGL039W with GFP allows for:

    • Visualization of protein localization

    • Quantification of protein abundance down to a few copies per cell

    • Use of standardized anti-GFP antibodies for immunoprecipitation

  • CRISPR-Cas9 applications:

    • Generate knockout strains as negative controls for antibody validation

    • Create point mutations to study specific protein domains and their effect on interactions

    • Introduce epitope tags at the endogenous locus to enable pull-down with standardized antibodies

  • Analysis considerations:

    • Verify that tags do not interfere with protein function or localization

    • Confirm expression levels of tagged proteins compared to native proteins

    • Use quantitative methods to correlate antibody signals with absolute protein abundance

This approach has been successfully implemented for large-scale interactome studies in both yeast and human cell lines, such as HEK293T cells with CRISPR-mediated GFP tagging .

How can inconsistent results with YGL039W antibodies be addressed?

Inconsistent results with YGL039W antibodies may stem from various sources. A systematic troubleshooting approach includes:

  • Antibody quality assessment:

    • Verify antibody specificity through Western blotting or immunoprecipitation

    • Check for lot-to-lot variability by testing new antibody batches against previous ones

    • Confirm antibody storage conditions and avoid freeze-thaw cycles

  • Sample preparation optimization:

    • Standardize cell growth conditions and harvesting procedures

    • Ensure consistent cell lysis and protein extraction protocols

    • Verify protein stability during sample processing

  • Technical considerations:

    • Test different antibody concentrations and incubation times

    • Evaluate buffer composition effects on antibody-antigen binding

    • Consider protein modifications that might affect epitope recognition

  • Biological variability:

    • Account for cell cycle-dependent expression of YGL039W

    • Consider strain background effects on protein expression levels

    • Evaluate the impact of environmental conditions on protein abundance or localization

Systematic documentation of experimental conditions and results is essential for identifying sources of variability.

What approaches can distinguish true interactors from false positives in YGL039W interaction studies?

Distinguishing genuine YGL039W interactors from false positives requires rigorous experimental design and analysis:

  • Quantitative filtering approaches:

    • Apply statistical thresholds based on enrichment ratios compared to controls

    • Utilize volcano plots to visualize both fold change and statistical significance

    • Implement correlation mapping of prey profiles across multiple bait proteins

  • Reciprocal confirmation:

    • Perform reverse immunoprecipitation using antibodies against putative interacting partners

    • Verify interactions through multiple orthogonal methods (e.g., Y2H, proximity labeling)

    • Cross-validate interactions identified in different experimental contexts

  • Biological relevance assessment:

    • Evaluate colocalization of YGL039W with potential interactors

    • Consider functional relationships based on genetic interactions or phenotypic profiles

    • Assess evolutionary conservation of interactions across related species

  • Network analysis:

    • Integrate data with existing interaction databases to identify high-confidence interactions

    • Apply network topology analysis to identify likely true positives based on connectivity patterns

    • Use GO term enrichment to identify functionally coherent interaction modules

The yeast interactome has been extensively studied, with approximately 30,000 interactions documented among about 4,000 proteins, providing a valuable reference for evaluating new interaction data .

How can YGL039W antibody signals be quantitatively analyzed for protein expression studies?

Quantitative analysis of YGL039W expression requires careful experimental design and analytical approaches:

  • Signal calibration methods:

    • Use purified recombinant YGL039W protein to generate standard curves

    • Implement GFP-tagged reference strains with known protein copy numbers

    • Apply quantitative Western blotting with infrared fluorescence detection

  • Flow cytometry quantification:

    • Use quantitative beads to convert fluorescence intensity to molecules of equivalent soluble fluorochrome (MESF)

    • Apply fluorescence standardization to enable cross-experiment comparison

    • Implement median fluorescence intensity (MFI) for population analysis

  • Image-based quantification:

    • Standardize image acquisition parameters (exposure, gain, offset)

    • Apply flat-field correction to account for illumination non-uniformity

    • Use automated segmentation and intensity measurement tools

  • Mass spectrometry approaches:

    • Implement stable isotope labeling for relative quantification

    • Use selected reaction monitoring (SRM) for targeted quantification

    • Apply peptide standards for absolute quantification (AQUA)

Protein abundance in yeast spans a wide range, from a few copies to thousands of copies per cell, necessitating methods with appropriate dynamic range and sensitivity .

How can YGL039W antibodies be integrated with high-throughput screening approaches?

YGL039W antibodies can be incorporated into various high-throughput screening platforms:

  • Automated immunoprecipitation workflows:

    • Combine robotics for sample preparation with antibody-based pull-downs

    • Implement parallel processing of multiple conditions or genetic backgrounds

    • Integrate with mass spectrometry for protein complex identification

  • Antibody-based protein arrays:

    • Immobilize YGL039W antibodies on microarray surfaces

    • Screen for interactions across proteome-wide collections

    • Quantify binding affinities through signal intensity analysis

  • Flow cytometry screening:

    • Apply YGL039W antibodies in multi-parameter flow cytometry

    • Screen genetic or chemical libraries for effects on protein expression

    • Implement cell sorting to isolate populations with altered expression patterns

  • High-content imaging:

    • Use automated microscopy with YGL039W antibody staining

    • Analyze subcellular localization across genetic perturbation libraries

    • Quantify co-localization with other proteins of interest

These approaches enable systematic exploration of factors affecting YGL039W expression, localization, and interactions across diverse conditions.

What alternative labeling methods can complement YGL039W antibody approaches?

Beyond traditional antibody-based detection, several complementary approaches can enhance YGL039W studies:

  • Proximity labeling methods:

    • BioID/TurboID: Fuse a biotin ligase to YGL039W to biotinylate proximal proteins

    • APEX: Use an engineered peroxidase fusion to catalyze biotin-phenol labeling of nearby proteins

    • These approaches capture transient interactions that may be missed by co-immunoprecipitation

  • Chemical cross-linking:

    • Apply bifunctional cross-linkers to stabilize protein complexes

    • Combine with mass spectrometry (XL-MS) to map interaction interfaces

    • Identify structural constraints for protein complex modeling

  • Co-fractionation approaches:

    • Analyze co-elution profiles from size-exclusion or ion-exchange chromatography

    • Score interactions based on correlation of elution patterns

    • Integrate with antibody-based detection for targeted protein monitoring

  • Genetic reporters:

    • Split fluorescent proteins or luciferase complementation assays

    • Two-hybrid methodologies adapted for various cellular compartments

    • Synthetic genetic array analysis to identify functional relationships

Each method offers distinct advantages and limitations, making a multi-method approach optimal for comprehensive characterization of YGL039W function and interactions.

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