YAR066W Antibody

Shipped with Ice Packs
In Stock

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
YAR066W antibody; Putative GPI-anchored protein YAR066W antibody
Target Names
YAR066W
Uniprot No.

Target Background

Database Links

KEGG: sce:YAR066W

STRING: 4932.YHR214W

Subcellular Location
Cell membrane; Lipid-anchor, GPI-anchor.

Q&A

What is YAR066W and why is it significant in yeast research?

YAR066W is a putative GPI-anchored protein found in Saccharomyces cerevisiae (baker's yeast). According to the UniProt database (P0CX18), it's localized to the cell membrane via a GPI-anchor. YAR066W's significance stems from its role in several cellular processes:

  • It serves as a component in the yeast secretory pathway

  • It may function in protein trafficking and membrane organization

  • It appears in studies of protein secretion and surface display systems

  • It has been implicated in RNA binding protein interactions

The protein is referenced in databases such as KEGG (sce:YAR066W) and STRING (4932.YHR214W), indicating its integration into known biological networks.

What are the properties of commercially available YAR066W antibodies?

Commercial YAR066W antibodies typically have the following specifications:

PropertyDetails
FormLiquid
BufferPreservative: 0.03% Proclin 300, Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Lead TimeMade-to-order (14-16 weeks)
SynonymsYAR066W antibody; Putative GPI-anchored protein YAR066W antibody
Target UniProtP0CX18
Subcellular LocationCell membrane; Lipid-anchor, GPI-anchor

These antibodies are shipped with ice packs and designed for research applications including Western blotting, immunoprecipitation, and immunofluorescence.

How should YAR066W antibodies be stored and handled?

For optimal performance and longevity of YAR066W antibodies:

  • Store at -20°C for long-term storage (facilitated by the 50% glycerol in the formulation)

  • Avoid repeated freeze-thaw cycles by creating working aliquots

  • For working solutions, store at 4°C for short-term use (1-2 weeks maximum)

  • When using, keep on ice and handle gently (avoid vortexing)

  • Centrifuge briefly before opening if there's condensation

  • For diluted antibodies, consider adding BSA (1-5%) as a stabilizer

What applications are YAR066W antibodies suitable for?

YAR066W antibodies can be utilized in various experimental applications:

  • Western Blotting: For detecting YAR066W expression levels in different yeast strains or under varying conditions. This application is particularly valuable for studying protein secretion pathways .

  • Immunoprecipitation: To isolate YAR066W complexes and identify interaction partners.

  • Immunofluorescence: For visualizing the subcellular localization of YAR066W, confirming its membrane association.

  • Flow Cytometry: Especially useful when YAR066W is incorporated into surface display systems or when studying yeast populations with varying expression levels .

  • Protein Trafficking Studies: For tracking GPI-anchored protein movement through the secretory pathway.

How can YAR066W antibodies be used in protein secretion studies?

YAR066W has been implicated in protein secretion pathways in yeast. Research shows intriguing results where high levels of intracellular YAR066W did not necessarily correlate with increased secretion of target proteins like brazzein . Researchers can use YAR066W antibodies to:

  • Monitor YAR066W expression levels under different secretion conditions

  • Compare YAR066W's efficiency with other secretion signal peptides and transport fusion proteins

  • Investigate the relationship between YAR066W expression and secretion outcomes for different target proteins

  • Study co-localization with other secretory pathway components

  • Assess YAR066W's involvement in specific secretory challenges, such as with the sweet proteins brazzein and monellin

When designing these experiments, it's important to note that YAR066W behaved differently with various cargo proteins - efficient for nanobody secretion but less effective with mRuby2 .

What considerations are important when using YAR066W antibodies for surface display studies?

YAR066W has been studied in the context of yeast surface display systems. When incorporating YAR066W antibodies into these experiments:

  • Compare YAR066W with established anchors like Aga2p, Sed1p, and Cwp2p to benchmark performance

  • Consider that display efficiency may vary based on the signal peptide paired with the anchor protein (e.g., AGA2 pre-SP vs. MFαpp8 SP showed different efficiencies with various anchors)

  • Validate display using both antibody detection (against epitope tags) and functional binding assays

  • Use flow cytometry for quantitative analysis of display levels

  • Include appropriate controls such as non-displaying yeast and isotype control antibodies

Research has shown that detection methods like anti-HA-tag antibodies can effectively verify surface display and that the choice of both signal peptide and anchor protein significantly impacts display efficiency .

How can researchers validate the specificity of YAR066W antibodies?

Proper validation of YAR066W antibodies is critical for experimental reliability. Following best practices in antibody validation:

  • Genetic Knockout Validation: Create YAR066W knockout yeast strains to demonstrate antibody specificity. A selective antibody will show no signal in knockout samples .

  • Orthogonal Validation: Compare antibody detection with mRNA expression data or other non-antibody detection methods. The diagram below illustrates this approach:

![Orthogonal approach schematic](Fig 2: Schematic showing the use of an orthogonal approach to understand the relationship between antibody staining intensity by flow cytometry, and mRNA expression)
  • Cell Line Panel Testing: Test antibodies across multiple yeast strains with different expected expression levels of YAR066W .

  • Overexpression Testing: Express YAR066W at higher-than-normal levels and verify increased signal .

  • Independent Antibody Comparison: Use multiple antibodies targeting different YAR066W epitopes and compare results .

The YCharOS initiative emphasizes that "the best-performing antibodies for western blot will show bands only in the wild-type lane" when comparing with knockout lysates .

What troubleshooting approaches can address non-specific binding with YAR066W antibodies?

When facing non-specific binding issues with YAR066W antibodies:

  • Optimize Blocking: Test different blocking agents (BSA, non-fat milk, normal serum) and adjust concentration and incubation time.

  • Antibody Titration: Perform a dilution series to identify the optimal concentration that maximizes specific signal while minimizing background.

  • Incubation Conditions: Modify temperature (4°C often reduces non-specific binding), time, and buffer composition.

  • Pre-adsorption: Incubate antibody with a sample lacking YAR066W to remove cross-reactive antibodies.

  • Washing Optimization: Increase wash stringency with higher salt concentrations or mild detergents; extend washing duration.

  • Sample Preparation: Ensure proper cell lysis and protein denaturation for Western blotting; optimize fixation and permeabilization for immunofluorescence.

  • Peptide Competition: Pre-incubate antibody with immunizing peptide to confirm specificity of observed signals .

What controls should be included in experiments using YAR066W antibodies?

Based on established antibody validation principles , include these controls:

Positive Controls:

  • Wild-type yeast known to express YAR066W

  • Recombinant YAR066W protein or overexpression samples

  • Yeast samples from conditions known to upregulate YAR066W

Negative Controls:

  • YAR066W knockout yeast strains (gold standard)

  • YAR066W knockdown samples if knockout isn't feasible

  • Primary antibody omission control

  • Isotype control (irrelevant antibody of same type)

  • Peptide competition control

Technical Controls:

  • Loading controls for Western blots

  • Subcellular fraction markers when studying localization

  • Sample processing controls to ensure protein integrity

YCharOS validation emphasizes comparing wild-type and knockout samples side-by-side for definitive validation .

How can YAR066W antibodies be used to study GPI-anchored protein trafficking?

As a GPI-anchored protein, YAR066W provides an excellent model for studying this protein modification class. Researchers can employ YAR066W antibodies in sophisticated trafficking studies:

  • Subcellular Fractionation: Separate cellular compartments (ER, Golgi, plasma membrane) and track YAR066W through these fractions using immunoblotting.

  • Pulse-Chase Analysis: Label newly synthesized proteins and immunoprecipitate with YAR066W antibodies at different time points to analyze trafficking kinetics and post-translational modifications.

  • Co-localization Studies: Combine immunofluorescence with markers for secretory organelles to map YAR066W's trafficking path.

  • Trafficking Mutant Analysis: Compare YAR066W localization in wild-type yeast versus strains with mutations in trafficking machinery components.

  • GPI-Anchor Processing: Investigate how GPI-anchor remodeling affects YAR066W trafficking by comparing immunoprecipitated protein from different cellular compartments.

What approaches can improve binding characteristics of YAR066W antibodies?

Recent advances in antibody engineering can be applied to enhance YAR066W antibodies:

  • Machine Learning-Based Optimization: Techniques like those used in the DyAb system could generate improved variants with enhanced affinity and specificity. This approach has demonstrated success with as few as 100 training variants .

  • Complementarity-Determining Region (CDR) Modification: Mutational scanning of CDRs can identify beneficial amino acid substitutions. The DyAb model has shown Pearson correlations as high as r=0.84 in predicting affinity improvements .

  • Active Learning Strategies: As described in recent research, active learning approaches can improve out-of-distribution prediction for antibody-antigen binding, reducing experimental costs by up to 35% .

  • YYDRxG Motif Exploration: Research into convergent antibody solutions like the YYDRxG motif (encoded by IGHD3-22) demonstrates how targeted structural motifs can enhance binding to conserved epitopes .

The figure below shows how DyAb models have successfully improved antibody binding:

![DyAb model performance on small antibody affinity datasets](Fig 3: DyAb designs expressing antibody candidates against multiple antigens with high binding rates)

How can YAR066W antibodies contribute to RNA-protein interaction studies?

Interestingly, YAR066W has been identified in studies of RNA-binding proteins in yeast. Research indicates it may interact with Scp160p, a multiple KH-domain RNA-binding protein :

  • RNA-Protein Complex Immunoprecipitation: YAR066W antibodies can pull down associated RNA-protein complexes for analysis of bound RNAs.

  • Messenger Ribonucleoprotein (mRNP) Analysis: YAR066W appeared in a study examining mRNA association with Scp160p, suggesting potential roles in mRNA localization or translation .

  • Transcriptome Impact Assessment: YAR066W antibodies could help investigate how this protein's depletion affects mRNA distribution and translation efficiency.

  • Co-localization with RNA Granules: Immunofluorescence studies could examine whether YAR066W associates with known RNA granules or processing bodies.

The table below shows YAR066W (listed as YOR338W) among transcripts associated with Scp160p, with a significant fold increase of 6.2, 4.5 :

Sequence identifierGene nameFold increaseProbe setComments
YOR338WORF6.2, 4.58228_atSimilarity to YAL034c

How might nanobody technology be applied to YAR066W research?

Recent advances in nanobody technology present opportunities for YAR066W research:

  • Development of YAR066W-Specific Nanobodies: Nanobodies derived from camelid antibodies offer advantages for targeting membrane proteins like YAR066W due to their small size and ability to access cryptic epitopes .

  • Live-Cell Imaging: Nanobodies can be used intracellularly to track YAR066W in live yeast cells without fixation.

  • Targeted Protein Degradation: Nanobodies against YAR066W could be fused to degron tags to create selective protein degradation tools.

  • Functional Inhibition: Nanobodies can bind to functional domains to inhibit activity without genetic manipulation.

The University of Kentucky research team has demonstrated the potential of nanobodies for targeting specific proteins and investigating their functions in living cells .

What role might YAR066W antibodies play in pan-sarbecovirus vaccine development?

While YAR066W is a yeast protein, the methodologies used for antibody development against it share principles with those used in vaccine research. Recent advances in identifying broadly neutralizing antibodies against SARS-CoV-2 offer valuable insights:

  • Convergent Antibody Solutions: Research into the YYDRxG motif demonstrates how the human immune system can converge on similar solutions for targeting conserved epitopes. Similar structural approaches could be applied to YAR066W antibody development .

  • Dual Antibody Approach: The concept of using "anchor" antibodies to stabilize binding while a second antibody provides inhibitory function could be adapted to target different functional domains of YAR066W .

  • Variant-Resistant Binding: Studies identifying antibodies that maintain binding across virus variants demonstrate principles that could apply to generating YAR066W antibodies stable across different experimental conditions .

A Stanford-led team recently found that "two antibodies can work together to defeat all SARS-CoV-2 variants" by targeting conserved regions , a concept potentially adaptable to complex membrane proteins like YAR066W.

How can computational approaches enhance YAR066W antibody development?

Emerging computational tools offer promising avenues for YAR066W antibody optimization:

  • Sequence-Based Design: The DyAb approach demonstrates how sequence-based antibody design and property prediction in limited data regimes can generate improved antibodies with high success rates (>85% expression and binding) .

  • Active Learning Algorithms: Recent research has developed fourteen novel active learning strategies for antibody-antigen binding prediction, reducing required experimental data by up to 35% .

  • Protein Language Models: Antibody-specific protein language models like AntiBERTy and LBSTER have shown superior performance over general protein models (ESM-2) in predicting binding improvements .

  • Structural Prediction Integration: Future iterations could integrate protein structural features using embeddings from models like ESMFold or SaProt to further refine predictions .

These computational advances can significantly reduce the experimental burden while improving antibody performance, making them valuable tools for YAR066W antibody research and development.

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