YLR001C Antibody

What is YLR001C and why is it studied?

YLR001C is a putative protein of unknown function in Saccharomyces cerevisiae (Baker's yeast). The authentic, non-tagged protein has been detected in highly purified mitochondria in high-throughput studies and is predicted to be palmitoylated . Despite limited functional characterization, this protein contains a FAS1 domain and has demonstrated interactions with 27 other proteins, suggesting potential roles in cellular pathways that warrant investigation . Studying YLR001C contributes to our understanding of yeast mitochondrial function and potentially conserved mechanisms across eukaryotes.

What are the key specifications of commercially available YLR001C antibodies?

The commercially available YLR001C antibody (e.g., CSB-PA158663XA01SVG) is a polyclonal antibody raised in rabbits against recombinant Saccharomyces cerevisiae (strain ATCC 204508 / S288c) YLR001C protein . Key specifications include:

What are the recommended applications for YLR001C antibody?

The YLR001C antibody has been validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB) applications . These techniques allow researchers to:

• Detect and quantify YLR001C protein in yeast cell lysates and subcellular fractions

• Study protein expression levels under various experimental conditions

• Investigate protein-protein interactions through co-immunoprecipitation followed by Western blot

• Examine post-translational modifications of the protein

While not explicitly validated, researchers might also explore immunofluorescence microscopy to study the subcellular localization of YLR001C, particularly given its reported mitochondrial association .

How can I optimize Western blot protocols for low-abundance mitochondrial proteins like YLR001C?

Optimizing Western blot protocols for low-abundance mitochondrial proteins like YLR001C requires several specialized approaches:

• Enhanced Mitochondrial Isolation:

  • Use differential centrifugation followed by density gradient purification

  • Consider using digitonin-based extraction to selectively permeabilize the outer mitochondrial membrane

  • Verify mitochondrial enrichment using known markers (e.g., cytochrome c oxidase)

• Sample Concentration:

  • Concentrate mitochondrial fractions using molecular weight cutoff filters

  • Employ TCA/acetone precipitation to concentrate proteins while reducing lipid contamination

• Signal Enhancement:

  • Use high-sensitivity chemiluminescent substrates

  • Consider biotin-streptavidin amplification systems

  • Optimize antibody concentrations through titration experiments

  • Extend primary antibody incubation time (overnight at 4°C)

• Background Reduction:

  • Increase blocking time (3-5% BSA in TBST for 2 hours)

  • Add 0.1-0.5% Triton X-100 to reduce hydrophobic interactions

  • Use extended washing steps (5 × 10 minutes)

The detection methods should be calibrated against positive controls whenever possible, and exposure times may need to be extended compared to standard protocols.

What approaches can resolve contradictory data regarding YLR001C localization or function?

Resolving contradictory data regarding YLR001C localization or function requires comprehensive multi-approach verification:

• Complementary Localization Techniques:

  • Compare results from subcellular fractionation, immunofluorescence, and proximity labeling

  • Use epitope-tagged versions (C- and N-terminal tags separately) to confirm antibody specificity

  • Employ super-resolution microscopy for precise localization

• Genetic Validation:

  • Generate knockout/knockdown strains and assess phenotypes

  • Perform rescue experiments with wild-type and mutant constructs

  • Use CRISPR-Cas9 to introduce endogenous tags at the genomic locus

• Functional Analysis:

  • Assess impacts on mitochondrial function using respirometry

  • Analyze protein-protein interactions through BioID or proximity labeling

  • Examine metabolomic changes in YLR001C-depleted cells

• Structural Insights:

  • Investigate the role of the FAS1 domain through site-directed mutagenesis

  • Assess the impact of predicted palmitoylation on localization and function

  • Perform domain deletion/swapping experiments

When contradictory results persist, consider strain-specific differences, growth conditions, and post-translational modifications that may affect protein behavior under different experimental conditions.

How does the expression system affect YLR001C antibody specificity and sensitivity?

The expression system used to generate recombinant YLR001C can significantly impact antibody specificity and sensitivity:

• E. coli vs. Yeast Expression:

  • E. coli-expressed antigens lack post-translational modifications, particularly glycosylation

  • Yeast-expressed proteins maintain native modifications but may introduce strain-specific variations

  • Non-glycosylated forms (e.g., E. coli-produced) eliminate ambiguity about potential glycan epitopes

• Folding and Epitope Accessibility:

  • Bacterial expression may result in inclusion bodies requiring denaturation/renaturation

  • Yeast expression systems better preserve native conformation but may introduce conformational heterogeneity

  • Truncated constructs focusing on specific domains may improve epitope exposure

• Impact on Experimental Design:

  • For PTM studies, antibodies raised against E. coli-expressed proteins may miss modified epitopes

  • For structural studies, antibodies against yeast-expressed proteins may better recognize native conformations

  • Cross-reactivity profiles differ between expression systems

Given that commercially available YLR001C antibodies are typically raised against recombinant protein , researchers should consider these factors when interpreting results, especially when studying post-translational modifications or conformational states.

What are the optimal storage and handling conditions to maintain YLR001C antibody activity?

Maintaining YLR001C antibody activity requires careful attention to storage and handling:

• Long-term Storage:

  • Store at -20°C or -80°C in manufacturer-supplied buffer

  • Avoid repeated freeze-thaw cycles by preparing single-use aliquots

  • Monitor storage buffer composition (typically 50% glycerol, 0.01M PBS, pH 7.4, with 0.03% Proclin 300)

• Working Solution Preparation:

  • Thaw aliquots slowly on ice

  • Dilute in fresh, cold buffer immediately before use

  • Maintain cold chain during handling

  • Return unused portions to -20°C promptly

• Shipping and Transportation:

  • Use dry ice for shipments

  • Monitor temperature with indicators

  • Allow packages to equilibrate to 4°C before opening

• Stability Assessment:

  • Perform regular activity tests against positive controls

  • Document lot-to-lot variations

  • Consider adding stabilizing proteins (BSA) for dilute working solutions

A properly maintained antibody should retain activity for at least 12 months under optimal storage conditions, though performance should be verified before critical experiments.

How can I validate the specificity of YLR001C antibody in my experimental system?

Validating YLR001C antibody specificity requires multiple complementary approaches:

• Genetic Controls:

  • Test against YLR001C knockout/knockdown strains

  • Compare wild-type and overexpression systems

  • Use tagged versions of YLR001C as parallel controls

• Biochemical Validation:

  • Perform peptide competition assays with immunizing antigen

  • Use immunoprecipitation followed by mass spectrometry

  • Compare detection patterns across multiple antibody lots and sources

• Cross-reactivity Assessment:

  • Test against related yeast proteins with sequence similarity

  • Examine specificity across closely related yeast strains

  • Evaluate potential cross-reactivity with host proteins in heterologous systems

• Signal Verification:

  • Compare band patterns with predicted molecular weight

  • Assess post-translational modifications using specific treatments

  • Correlate protein and mRNA expression patterns

The combined results from these approaches provide a comprehensive validation profile, helping researchers distinguish specific signals from background or cross-reactive artifacts.

What factors might affect YLR001C detection in immunoassays?

Several factors can significantly impact YLR001C detection in immunoassays:

• Protein Expression Conditions:

  • Growth phase of yeast cultures (log vs. stationary)

  • Media composition and carbon source (glucose vs. galactose vs. raffinose)

  • Environmental stress conditions

  • Genetic background of strains

• Sample Preparation:

  • Extraction method (mechanical disruption vs. enzymatic digestion)

  • Buffer composition (detergent selection crucial for membrane-associated proteins)

  • Protease inhibitor cocktail inclusion

  • Sample denaturation temperature and duration

• Assay-Specific Variables:

  • For ELISA: coating buffer pH, blocking agent effectiveness

  • For Western blot: transfer efficiency, membrane selection

  • Primary antibody concentration and incubation conditions

  • Secondary antibody selection and detection system sensitivity

• Post-translational Modifications:

  • Predicted palmitoylation may affect epitope accessibility

  • Potential phosphorylation or other modifications

  • Protein-protein interactions masking epitopes

A systematic approach to troubleshooting involves changing one variable at a time while maintaining appropriate controls to identify the specific factors affecting detection in your system.

How might the cellular quality control system impact studies of YLR001C?

The cellular quality control system significantly impacts studies of YLR001C, particularly when investigating protein expression, localization, and function:

• ER-Associated Degradation (ERAD) Pathway Effects:

  • Deletion of ERAD components (HRD1, HRD3, UBC7) can reduce protein expression to 63-69% of wild-type levels

  • HTM1 gene deletion can increase protein production by approximately 15%

  • YOS9 deletion dramatically reduces production to around 18% of normal levels

• Unfolded Protein Response (UPR) Interactions:

  • UPR and ERAD systems demonstrate complex interplay affecting protein production

  • Strain-specific differences in quality control may alter experimental outcomes

  • The mechanism of these phenotypes in different strains requires further elucidation

• Glycosylation Impacts:

  • ALG3 mutation affects N-glycan structure, potentially altering protein recognition

  • Man5GlcNAc2 structures are recognized by quality control components

  • Clearance of proteins with altered glycan structures may complicate expression studies

Understanding these quality control mechanisms is critical when designing expression systems for studying YLR001C or when interpreting results from different yeast strains or growth conditions.

What techniques can help elucidate the function of YLR001C based on its protein interactions?

Elucidating YLR001C function through protein interaction studies requires specialized techniques:

• Proximity-Based Labeling Methods:

  • BioID fusion proteins to identify proximal interactors in living cells

  • APEX2 tagging for rapid labeling of neighboring proteins

  • Split-BioID systems to capture conditional interactions

• Affinity Purification Coupled with Mass Spectrometry:

  • Tandem affinity purification (TAP) tags for high purity

  • SILAC labeling for quantitative comparison of interaction partners

  • Crosslinking mass spectrometry to map interaction interfaces

• Network Analysis:

  • Examination of the 27 known interacting proteins for functional clustering

  • Pathway enrichment analysis

  • Genetic interaction screens (synthetic lethality/sickness)

  • Construction of protein-protein interaction networks

• Structural Biology Approaches:

  • Cryo-EM of complexes containing YLR001C

  • Hydrogen-deuterium exchange mass spectrometry

  • Computational modeling based on the FAS1 domain structure

These methods can reveal functional contexts and potential roles of YLR001C in cellular processes, particularly those related to mitochondrial function given its subcellular localization.

How can comparative analysis across fungal species enhance our understanding of YLR001C?

Comparative analysis across fungal species provides valuable insights into YLR001C function:

• Phylogenetic Analysis:

  • Identify orthologs in diverse fungal lineages

  • Map conservation of key domains and motifs

  • Correlate functional annotations across species

• Functional Complementation:

  • Test cross-species rescue of phenotypes

  • Identify functionally conserved regions through domain swapping

  • Determine species-specific interaction partners

• Comparative Localization:

  • Examine subcellular targeting across species

  • Identify conserved trafficking signals

  • Correlate localization with function

• Structural Conservation:

  • Analyze conservation of the FAS1 domain across species

  • Identify critical residues through evolutionary rate analysis

  • Map predicted palmitoylation sites onto structural models

This evolutionary perspective can help distinguish fundamental functional properties from species-specific adaptations, guiding more targeted experimental approaches in S. cerevisiae models.