YDL199C Antibody

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Description

YDL199C Protein Characteristics

  • Gene: YDL199C (PUG1)

  • Organism: Saccharomyces cerevisiae

  • Function: Facilitates porphyrin and heme transport, particularly under anaerobic conditions .

  • Localization: Likely membrane-associated, given its role in transport .

Antibody Target Epitopes

The YDL199C Antibody typically recognizes epitopes within the protein’s variable domains. For example, in studies using S. cerevisiae, anti-c-Myc antibodies (e.g., 9E10) are employed to detect Myc-tagged YDL199C fusion proteins . This approach leverages the antibody’s complementarity-determining regions (CDRs) to bind epitopes with high specificity .

Key Assays and Protocols

YDL199C Antibodies are validated in standardized workflows, including:

  • Western Blotting: Used to confirm protein expression levels in yeast lysates .

  • Immunofluorescence: Localizes YDL199C in fixed and permeabilized cells .

  • Sucrose Gradient Centrifugation: Assists in membrane protein fractionation studies .

Validation Metrics

ParameterDetails
SpecificityValidated using knockout (KO) yeast strains to eliminate cross-reactivity .
AffinityEnhanced by phage display libraries for optimal antigen binding .
ReproducibilityAdheres to consensus protocols from initiatives like YCharOS .

Database Integration

YDL199C Antibody data may be cataloged in specialized repositories:

  • PLAbDab: Tracks ~150,000 antibody sequences, including yeast-derived entries .

  • AbDb: Annotates antibody-antigen complexes from the PDB, useful for structural insights .

Current Limitations

  • Immunogenicity: Non-human sequences in hybridoma-derived antibodies may require humanization .

  • Epitope Accessibility: Membrane-associated targets like YDL199C necessitate optimized permeabilization protocols .

Innovations in Production

  • Recombinant Antibodies: Outperform monoclonals in specificity and reproducibility .

  • Phage Display: Accelerates affinity maturation for low-abundance targets .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
YDL199C antibody; D1209 antibody; Putative metabolite transport protein YDL199C antibody
Target Names
YDL199C
Uniprot No.

Target Background

Database Links

KEGG: sce:YDL199C

STRING: 4932.YDL199C

Protein Families
Major facilitator superfamily, Sugar transporter (TC 2.A.1.1) family
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is YDL199C and what is its significance in yeast biology?

YDL199C is a protein-coding gene in Saccharomyces cerevisiae (baker's yeast), specifically found in the reference strain ATCC 204508/S288c. The antibody against this protein is crucial for researchers studying yeast cellular processes. While YDL199C's complete function remains under investigation, antibodies targeting this protein allow researchers to track its expression, localization, and interactions within the yeast cellular environment. Unlike antibodies targeting human proteins that may have therapeutic applications, YDL199C antibody is primarily a research tool for understanding fundamental yeast biology .

What are the key specifications of commercially available YDL199C antibodies?

The commercially available YDL199C antibody (CSB-PA614219XA01SVG) is a rabbit-raised polyclonal antibody that specifically reacts with Saccharomyces cerevisiae strain ATCC 204508/S288c. It is produced using recombinant YDL199C protein as the immunogen and is supplied in liquid form. The antibody is purified using antigen affinity methods, which enhances its specificity compared to crude serum preparations. The storage buffer consists of 50% glycerol, 0.01M PBS at pH 7.4, with 0.03% Proclin 300 as a preservative .

What storage conditions are optimal for YDL199C antibody longevity?

For long-term storage, YDL199C antibody should be kept at -20°C or -80°C immediately upon receipt. Repeated freeze-thaw cycles significantly degrade antibody performance, so aliquoting into single-use volumes before freezing is recommended. This approach prevents degradation of the antibody structure that can compromise experimental results. When handling the antibody, it should be kept on ice and returned to proper storage promptly to maintain its binding capacity and specificity .

What validated applications are appropriate for YDL199C antibody?

YDL199C antibody has been validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blotting (WB) applications. These techniques allow researchers to detect and quantify YDL199C protein in various yeast samples. For novel applications beyond these validated methods, researchers should conduct preliminary validation experiments. Similar to validation approaches used for other antibodies, appropriate positive and negative controls should be included to confirm specificity before proceeding with experimental samples .

What is the recommended protocol for Western blot using YDL199C antibody?

The recommended Western blot protocol for YDL199C antibody follows standard procedures with specific optimizations:

  • Sample preparation: Extract yeast proteins using glass bead lysis in buffer containing protease inhibitors

  • SDS-PAGE: Separate proteins on 10-12% gels (adjust percentage based on YDL199C's ~35kDa size)

  • Transfer: Use PVDF membrane with standard transfer buffer (25mM Tris, 192mM glycine, 20% methanol)

  • Blocking: Block with 5% non-fat milk in TBST for 1 hour at room temperature

  • Primary antibody: Dilute YDL199C antibody 1:500-1:2000 in blocking buffer and incubate overnight at 4°C

  • Washing: Wash 3-5 times with TBST, 5 minutes each

  • Secondary antibody: Anti-rabbit HRP-conjugated secondary at 1:5000 for 1 hour at room temperature

  • Signal development: Use ECL reagent and expose to X-ray film or digital imager

This protocol is similar to those used for other polyclonal antibodies in research settings, but optimization of antibody dilution and incubation times may be necessary for specific experimental conditions .

How can I optimize ELISA protocols with YDL199C antibody?

For optimizing ELISA protocols with YDL199C antibody, researchers should consider a sandwich ELISA approach similar to those used in other antibody studies:

  • Coating: Coat 96-well plates with capture antibody (1-5 μg/ml) in carbonate buffer (pH 9.6) overnight at 4°C

  • Blocking: Block with 1-3% BSA or 5% non-fat milk in PBS for 1-2 hours at room temperature

  • Sample addition: Add samples and standards in dilution buffer, incubate 1-2 hours at room temperature

  • Detection antibody: Add diluted YDL199C antibody (typically 1:1000-1:5000) and incubate for 1-2 hours

  • Secondary antibody: Add HRP-conjugated anti-rabbit antibody (1:5000) for 1 hour

  • Substrate reaction: Add TMB substrate and stop with H₂SO₄ after sufficient color development

  • Measurement: Read absorbance at 450nm with 570nm reference

Testing multiple antibody dilutions in a preliminary experiment helps identify optimal conditions. For quantitative analysis, include a standard curve using purified recombinant YDL199C protein at concentrations ranging from 0-1000 ng/ml .

How can I validate the specificity of YDL199C antibody results?

To validate YDL199C antibody specificity, employ these research-validated approaches:

  • Genetic controls: Test the antibody in YDL199C knockout yeast strains, which should show no signal

  • Competing peptide/protein: Pre-incubate antibody with excess recombinant YDL199C protein to block specific binding sites

  • Multiple antibody comparison: If available, compare results with other YDL199C antibodies targeting different epitopes

  • Mass spectrometry validation: Perform immunoprecipitation followed by mass spectrometry to confirm target identity

  • Signal correlation: Compare protein levels with mRNA expression data from RT-PCR or RNA-seq

These validation steps establish confidence in experimental results and should be documented in publications. Similar approaches have been successfully employed to validate antibody specificity in studies of other systems, as demonstrated in studies of therapeutic antibodies .

What are common causes of false positives/negatives when using YDL199C antibody?

Common causes of misleading results with YDL199C antibody include:

False Positives:

  • Cross-reactivity with homologous proteins in yeast or contaminating proteins

  • Non-specific binding to high-abundance proteins

  • Inappropriate blocking conditions allowing non-specific interactions

  • Secondary antibody binding directly to yeast proteins

  • Sample contamination during processing

False Negatives:

  • Protein denaturation affecting epitope recognition

  • Insufficient antigen exposure due to inadequate membrane blocking

  • Antibody degradation from improper storage or handling

  • Buffer incompatibility affecting antibody binding

  • Target protein masked by interacting partners

To minimize these issues, researchers should include appropriate controls, optimize experimental conditions, and validate results using complementary methods. Similar challenges have been documented in antibody-based detection systems across various research contexts .

What approaches can resolve inconsistent results with YDL199C antibody?

When facing inconsistent results with YDL199C antibody, systematic troubleshooting is essential:

  • Reagent quality assessment:

    • Check antibody lot consistency and age

    • Prepare fresh buffers and blocking solutions

    • Verify sample integrity through total protein staining

  • Protocol optimization:

    • Adjust antibody concentration through titration experiments

    • Modify incubation times and temperatures

    • Test different blocking agents (BSA, casein, commercial blockers)

  • Signal enhancement strategies:

    • Employ more sensitive detection systems (enhanced chemiluminescence)

    • Use signal amplification methods (biotin-streptavidin systems)

    • Consider longer exposure times for Western blots

  • Sample preparation refinement:

    • Test different lysis methods to improve protein extraction

    • Include additional protease inhibitors

    • Optimize protein denaturation conditions

Documenting all experimental conditions systematically helps identify variables affecting reproducibility. This methodical approach to troubleshooting has been effective in resolving inconsistencies in antibody-based research across different biological systems .

How can YDL199C antibody be adapted for immunoprecipitation studies?

Adapting YDL199C antibody for immunoprecipitation (IP) requires specific optimization strategies:

  • Antibody coupling to solid support:

    • Covalently couple antibody to protein A/G beads or magnetic beads

    • Use commercial cross-linking reagents (e.g., BS3 or DSS) to prevent antibody leaching

    • Optimize antibody:bead ratio through titration experiments

  • Sample preparation:

    • Use gentle lysis buffers to preserve protein-protein interactions

    • Include appropriate detergents (0.1-0.5% NP-40 or Triton X-100)

    • Implement pre-clearing with protein A/G beads to reduce non-specific binding

  • Immunoprecipitation protocol:

    • Incubate lysate with antibody-coupled beads for 2-16 hours at 4°C

    • Perform stringent washing (3-5 washes) with decreasing detergent concentrations

    • Elute bound proteins with gentle conditions for downstream analysis

  • Validation approaches:

    • Confirm pulled-down protein by Western blot and/or mass spectrometry

    • Include IgG control and input samples for comparison

    • Use YDL199C knockout strains as negative controls

These approaches follow established principles for adapting antibodies to IP applications, similar to methods used in studies of therapeutic antibodies against viral targets .

What methodological considerations are important for studying YDL199C interactions with other proteins?

For studying YDL199C protein-protein interactions, several methodological considerations are critical:

  • Interaction preservation:

    • Use chemical crosslinking agents (formaldehyde, DSP) to stabilize transient interactions

    • Optimize lysis conditions to maintain complex integrity

    • Consider native PAGE for analyzing intact complexes

  • Co-immunoprecipitation design:

    • Implement reciprocal co-IP experiments to confirm interactions

    • Use tagged versions of putative interacting partners for verification

    • Include appropriate controls for non-specific binding

  • Advanced interaction mapping:

    • Apply proximity-based labeling methods (BioID, APEX)

    • Consider yeast two-hybrid screening for systematic interaction discovery

    • Implement mass spectrometry-based approaches for unbiased interaction profiling

  • Functional validation:

    • Assess interaction significance through mutational analysis

    • Evaluate phenotypic consequences of disrupting interactions

    • Correlate interaction dynamics with cellular processes

These methodological considerations parallel approaches used in antibody research for other systems, adapting established principles to the specific context of yeast protein interaction studies .

How can computational methods enhance YDL199C antibody research?

Computational approaches can significantly enhance YDL199C antibody research through:

  • Epitope prediction and analysis:

    • Identify potential antigenic determinants on YDL199C protein

    • Predict epitope accessibility in native protein conformations

    • Map conservation of epitopes across related yeast species

  • Active learning for experimental design:

    • Apply machine learning algorithms to prioritize experimental conditions

    • Reduce experimental iterations through predictive modeling

    • Improve out-of-distribution prediction for novel variants

  • Cross-reactivity assessment:

    • Identify proteins with similar epitope structures across species

    • Predict potential off-target binding based on sequence homology

    • Evaluate impact of mutations on antibody binding

  • Structure-function relationship analysis:

    • Model antibody-antigen binding interfaces

    • Predict functional consequences of antibody binding

    • Design experiments to target specific protein domains

These computational approaches, similar to those used in therapeutic antibody development, can accelerate research by prioritizing the most promising experimental directions and providing mechanistic insights into antibody-antigen interactions .

Computational MethodApplication to YDL199C ResearchPotential Benefit
Sequence-based epitope predictionIdentify antigenic regionsImprove antibody design and selection
AlphaFold structural predictionModel YDL199C protein structureUnderstand epitope accessibility
Bayesian optimizationOptimize experimental conditionsReduce number of required experiments
Machine learning classificationPredict antibody bindingAccelerate screening of variants
Network analysisMap protein interaction networksContextualize YDL199C function

What are emerging techniques for studying YDL199C expression in single cells?

Emerging techniques for single-cell analysis of YDL199C include:

  • Antibody-based imaging methods:

    • Super-resolution microscopy for precise localization

    • Expansion microscopy for enhanced spatial resolution

    • Correlative light and electron microscopy for ultrastructural context

  • Single-cell protein quantification:

    • Mass cytometry (CyTOF) for high-dimensional protein profiling

    • Microfluidic antibody capture for quantitative analysis

    • Single-cell Western blotting for protein size verification

  • In situ detection methods:

    • Proximity ligation assay for protein-protein interactions

    • Antibody-based RNA-protein co-detection

    • Multiplexed ion beam imaging for spatial proteomics

  • Temporal dynamics analysis:

    • Live-cell imaging with fluorescent antibody fragments

    • Optogenetic tools combined with antibody detection

    • Microfluidic systems for tracking protein expression over time

These emerging techniques can reveal cell-to-cell variability in YDL199C expression and localization that may be masked in population-level studies. Similar approaches have advanced understanding of heterogeneity in antibody responses to viral infections .

What controls are essential when using YDL199C antibody in research?

Essential controls for YDL199C antibody experiments include:

  • Genetic controls:

    • YDL199C knockout strain (negative control)

    • YDL199C overexpression strain (positive control)

    • Wild-type strain for baseline expression

  • Antibody controls:

    • Isotype control (non-specific rabbit IgG)

    • Secondary antibody-only control

    • Peptide competition control

  • Sample processing controls:

    • Loading control (housekeeping protein)

    • Total protein stain (Ponceau S or SYPRO Ruby)

    • Sample preparation replicate

  • Technical validation:

    • Biological replicates (n ≥ 3)

    • Technical replicates for each measurement

    • Standard curve for quantitative assays

Implementing these controls ensures experimental rigor and allows proper interpretation of results by distinguishing specific signals from background or artifacts. This approach reflects best practices in antibody-based research established across various experimental systems .

How can I design experiments to study YDL199C expression under different stress conditions?

To study YDL199C expression under stress conditions, implement the following experimental design:

  • Stress condition selection and optimization:

    • Test multiple stressors (oxidative, heat, osmotic, nutrient deprivation)

    • Establish dose-response relationships for each stressor

    • Determine time course dynamics (immediate, intermediate, long-term responses)

  • Comprehensive experimental matrix:

    Stress TypeConcentrations/ConditionsTime PointsReplicates
    Oxidative (H₂O₂)0, 0.5, 1, 2, 5 mM15, 30, 60, 120 minn=3
    Heat Shock25°C, 30°C, 37°C, 42°C15, 30, 60, 120 minn=3
    Osmotic (NaCl)0, 0.4, 0.8, 1.2 M15, 30, 60, 120 minn=3
    Nutrient StarvationComplete, -N, -C, -P1, 3, 6, 24 hoursn=3
  • Multi-level analysis approach:

    • Protein expression (Western blot with YDL199C antibody)

    • Subcellular localization (immunofluorescence)

    • Protein-protein interactions (co-immunoprecipitation)

    • Correlation with mRNA levels (RT-qPCR)

  • Data integration and interpretation:

    • Normalize expression to appropriate controls

    • Perform statistical analysis across conditions

    • Create integrated heatmaps and principal component analysis

    • Validate key findings with orthogonal methods

This comprehensive experimental design allows for systematic characterization of YDL199C's role in stress responses and follows similar approaches used in studies of antibody-antigen interactions in other systems .

How does YDL199C antibody research compare with antibody research in other model systems?

YDL199C antibody research shares methodological principles with antibody research in other systems, but with distinct contextual differences:

  • Methodological similarities:

    • Basic validation principles apply across systems

    • Similar technical approaches (Western blot, ELISA, IP)

    • Comparable troubleshooting strategies

  • Model-specific considerations:

    • Yeast cell wall requires specialized lysis techniques

    • Lower protein abundance may necessitate different detection strategies

    • Fewer cross-reactivity concerns due to simpler proteome

  • Research application differences:

    • Mammalian antibody research often has therapeutic applications

    • Human antibody research frequently focuses on disease biomarkers

    • YDL199C research primarily advances fundamental understanding

  • Technical comparison:

    AspectYDL199C (Yeast) Antibody ResearchMammalian Antibody Research
    Target ComplexityLower proteome complexityHigher proteome complexity
    Post-translational ModificationsFewer modificationsExtensive modifications
    Lysis ConditionsRequires harsh conditionsGentler lysis often sufficient
    ApplicationsPrimarily basic researchResearch and therapeutic
    Validation StandardsSimilar core principlesMay include in vivo validation

Understanding these comparisons helps researchers adapt methodologies from other antibody research contexts while recognizing the unique aspects of yeast-specific research .

How can lessons from therapeutic antibody research be applied to YDL199C studies?

Several methodological advances from therapeutic antibody research can enhance YDL199C studies:

  • Epitope mapping techniques:

    • Hydrogen-deuterium exchange mass spectrometry for identifying binding sites

    • Cryo-electron microscopy for structural characterization

    • Peptide arrays for fine epitope mapping

  • Affinity measurement approaches:

    • Surface plasmon resonance for binding kinetics

    • Bio-layer interferometry for real-time interaction analysis

    • Isothermal titration calorimetry for thermodynamic parameters

  • Specificity enhancement strategies:

    • Affinity maturation principles for improved antibody design

    • Engineered antibody fragments for enhanced penetration

    • Computational design for increased specificity

  • Functional characterization methods:

    • Neutralization assays adapted to yeast systems

    • Quantitative binding measurements across conditions

    • Structure-function correlation analyses

These approaches can significantly enhance YDL199C antibody research by applying rigorous methodologies developed in therapeutic contexts to fundamental research questions. The YYDRxG motif analysis from therapeutic antibody research exemplifies how structural and sequence-based approaches can provide deeper insights into antibody function .

What are the latest methodological advances in antibody research applicable to YDL199C studies?

Recent methodological advances with potential application to YDL199C research include:

  • Advanced screening technologies:

    • Machine learning-guided antibody selection

    • Active learning for optimizing experimental design

    • High-throughput surface display screening

  • Structural biology integration:

    • AlphaFold-based structural prediction for epitope mapping

    • Cryo-EM for visualizing antibody-antigen complexes

    • Molecular dynamics simulations of binding interactions

  • Single-molecule techniques:

    • Single-molecule FRET for conformational dynamics

    • Optical tweezers for measuring binding forces

    • Single-molecule tracking in live cells

  • Multi-omics integration:

    • Antibody-based proteomics combined with transcriptomics

    • Integration of structural data with functional assays

    • Systems biology approaches to contextualize findings

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