Sequence similarity: Shares homology with Afr1, particularly in regions linked to protein phosphatase 1 (PP1) binding .
Gene locus: Chromosome V in S. cerevisiae.
Function: No direct role in mating or cell fusion identified . Hypothesized to interact with PP1 due to structural motifs, but mechanistic insights remain unvalidated .
YER158C antibodies are primarily used in:
Immunoblotting: Detecting YER158C expression in yeast lysates (e.g., anti-Myc or GFP-tagged variants) .
Localization studies: Indirect immunofluorescence to assess subcellular distribution .
Interaction screens: Identifying binding partners via co-immunoprecipitation .
Lysis: Yeast cells treated with trichloroacetic acid (TCA) .
Electrophoresis: Proteins separated on 8–10% SDS-PAGE gels .
Detection: Anti-Myc (9E10) or anti-GFP (JL-8) primary antibodies, followed by chemiluminescent secondary antibodies .
Null mutant viability: Deletion of YER158C does not impair growth or mating , suggesting redundant or non-essential roles.
PP1 association: Computational models propose YER158C-PP1 interactions akin to Afr1 , but experimental validation is lacking.
Epitope mapping: Antibodies target epitopes in conserved regions shared with Afr1, enabling cross-reactivity in some assays .
Functional redundancy: Unknown whether YER158C compensates for Afr1 in non-mating contexts.
Pathway involvement: No links to chitin synthesis, cell cycle, or stress responses despite homology to Afr1 .
Antibody specificity: Limited validation in peer-reviewed studies; potential cross-reactivity with Afr1 or other PP1-binding proteins .
CRISPR-based screens: Identify genetic interactors of YER158C.
Structural studies: Resolve PP1-binding domains via cryo-EM or X-ray crystallography.
Phenotypic profiling: Assess roles in non-mating conditions (e.g., nutrient stress).
YER158C Antibody is a polyclonal antibody raised in rabbits against recombinant Saccharomyces cerevisiae (strain ATCC 204508 / S288c) YER158C protein. This antibody specifically targets the YER158C protein in Baker's yeast and is designed for research applications only, not for diagnostic or therapeutic purposes . The antibody is developed through an antigen affinity purification method and is supplied in liquid form with specific buffer components that maintain stability .
YER158C Antibody should be stored at -20°C or -80°C upon receipt. It's crucial to avoid repeated freeze-thaw cycles as these can compromise antibody integrity and function . The antibody is supplied in a storage buffer containing 50% glycerol, 0.01M PBS at pH 7.4, and 0.03% Proclin 300 as a preservative . This formulation helps maintain antibody stability during storage. For short-term use, aliquoting the antibody before freezing is recommended to minimize freeze-thaw cycles and preserve antibody functionality.
YER158C Antibody has been validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB) applications that ensure identification of the target antigen . When designing experiments with this antibody, researchers should take into account the specific validation parameters established by the manufacturer. While these are the primarily validated applications, optimization may be required for use in other immunological techniques. Appropriate positive and negative controls should be included when establishing new protocols with this antibody to ensure specificity and sensitivity.
The YER158C Antibody is made-to-order with a lead time of 14-16 weeks . This extended production timeline reflects the complex nature of antibody generation and quality control processes. Researchers should plan their experiments accordingly, taking into account this significant lead time. Unlike off-the-shelf antibodies, made-to-order antibodies undergo specific production cycles that ensure quality but require advance planning for experimental timelines.
YER158C Antibody can be employed in co-immunoprecipitation (Co-IP) assays to investigate protein-protein interactions involving the YER158C protein. Though not explicitly validated for Co-IP in the provided information, polyclonal antibodies like YER158C Antibody can often be adapted for this purpose. When setting up such experiments, researchers should optimize antibody concentration, incubation conditions, and washing stringency. A methodological approach would involve:
Pre-clearing lysates with Protein A/G beads
Incubating cleared lysates with YER158C Antibody at 4°C overnight
Adding fresh Protein A/G beads to capture antibody-protein complexes
Washing thoroughly to remove non-specific binding
Eluting bound proteins and analyzing by Western blot
This approach requires validation with appropriate controls, including a non-specific rabbit IgG control to assess background binding.
Cross-reactivity can present challenges when working with polyclonal antibodies like YER158C Antibody, particularly in complex samples. To address potential cross-reactivity:
Perform pre-adsorption with related yeast proteins to remove antibodies that might bind non-specifically
Include blocking steps with 5% milk powder in PBS-T as described in standard ELISA protocols
Implement more stringent washing conditions (increased detergent concentration or additional washes)
Consider column purification to isolate the specific fraction of antibodies targeting the desired epitope
Validate specificity using YER158C knockout strains as negative controls
These approaches must be empirically tested for each experimental system, as cross-reactivity patterns may vary between different sample types and experimental conditions.
YER158C Antibody can be adapted for immunofluorescence microscopy to determine subcellular localization of the target protein. While not explicitly listed among validated applications , immunofluorescence is a logical extension for polyclonal antibodies with confirmed specificity. A methodological approach would include:
Fixation of yeast cells using formaldehyde or methanol-based protocols
Spheroplasting and permeabilization to allow antibody access
Blocking with appropriate agents (BSA or normal serum)
Primary incubation with YER158C Antibody at optimized dilutions
Secondary detection using fluorophore-conjugated anti-rabbit IgG
Counterstaining of cellular structures (nucleus, cell wall) for reference
Confocal microscopy analysis with appropriate controls
Optimization of fixation conditions, antibody concentration, and incubation times will be critical for successful localization studies.
While specific dilution recommendations weren't provided in the search results for YER158C Antibody, general principles for antibody dilution optimization can be applied:
For ELISA applications:
Begin with a starting concentration of 10 μg/mL with serial 1:5 dilutions as described in standard protocols
Perform a checkerboard titration to determine optimal antibody concentration that maximizes signal-to-noise ratio
Include both positive and negative controls at each dilution point
Calculate area under the curve (AUC) using appropriate software (e.g., GraphPad Prism) to quantitatively assess binding profiles
For Western Blot applications:
Start with dilutions in the range of 1:500 to 1:2000
Optimize blocking conditions using 5% milk powder in PBS-T as outlined in standard protocols
Evaluate signal intensity and background at different dilutions
Consider extended incubation times (overnight at 4°C) for more dilute antibody solutions
For each application, optimization should be performed systematically and results documented for reproducibility.
When encountering inconsistent ELISA results with YER158C Antibody, implement the following troubleshooting strategy:
Evaluate antibody integrity by testing freshly thawed aliquots versus previously used antibody
Assess plate coating conditions including concentration of capture antigen and incubation parameters
Modify blocking agents and duration (standard protocols suggest 1-hour blocking with 5% milk powder in PBS-T)
Adjust washing stringency (number of washes, volume, and detergent concentration)
Vary secondary antibody dilutions to optimize detection sensitivity
Consider alternative detection systems if signal variability persists
Run multiple replicates (standard protocols suggest at least three replicates for each condition)
Notably, if ELISA replicates remain inconsistent over more than three experiments, consider excluding the antibody from further analysis, as suggested by standard practices in antibody characterization .
Comprehensive controls are essential for reliable Western blotting with YER158C Antibody:
Positive controls:
Purified recombinant YER158C protein at known concentrations
Lysates from wild-type S. cerevisiae strains expressing the target protein
Gradient loading of positive samples to establish detection sensitivity
Negative controls:
Lysates from YER158C knockout yeast strains
Non-yeast samples that should not contain cross-reactive proteins
Primary antibody omission control to assess secondary antibody specificity
Procedural controls:
Loading control antibodies targeting constitutively expressed yeast proteins
Pre-stained molecular weight markers to verify transfer efficiency
Ponceau S staining to confirm protein transfer
These controls should be consistently included across experiments to ensure reproducibility and facilitate troubleshooting if unexpected results occur.
For quantitative analysis of YER158C Antibody binding in ELISA assays, implement the following methodological approach:
Generate standard curves using purified recombinant YER158C protein at known concentrations
Measure optical density at 450 nm after TMB substrate development and sulfuric acid stopping reaction
Calculate area under the curve (AUC) using appropriate software such as GraphPad Prism version 8.0.0 or equivalent
Represent data as mean ± standard error of the mean (SEM) from at least three independent experiments
Establish a cutoff value for positive binding based on negative control readings (typically 2-3 standard deviations above mean negative control)
Implement four-parameter logistic regression for more accurate quantification of antibody-antigen interactions
This quantitative approach enables objective comparison between experimental conditions and statistical validation of results.
When interpreting YER158C Antibody binding specificity, researchers should be aware of several potential pitfalls:
Cross-reactivity with structurally similar yeast proteins may produce false-positive signals
Post-translational modifications of the target protein may affect epitope accessibility and antibody recognition
Non-specific binding to the solid phase (in ELISA) or membrane (in Western blot) can create background signal
Matrix effects from complex biological samples may interfere with binding
Lot-to-lot variations in polyclonal antibody preparations can impact reproducibility
Denaturation conditions in Western blotting may expose or mask epitopes compared to native conditions in ELISA
To address these pitfalls, incorporate multiple complementary techniques for validation, include appropriate controls, and consider epitope mapping studies to better characterize antibody binding properties.
To evaluate YER158C Antibody suitability for protein-protein interaction studies, researchers should follow this systematic approach:
First assess if the antibody epitope overlaps with potential protein interaction domains by analyzing protein sequence data
Perform preliminary co-immunoprecipitation experiments with controls to determine if the antibody:
a. Efficiently captures the target protein under native conditions
b. Does not disrupt known protein-protein interactions
c. Provides sufficient yield of complexes for downstream analysis
Consider comparative analysis with other antibodies targeting different epitopes of the same protein
Validate observed interactions using reciprocal co-immunoprecipitation with antibodies against interaction partners
Complement antibody-based approaches with orthogonal methods such as proximity ligation assays or FRET-based techniques
This multi-faceted evaluation will determine whether the antibody can reliably detect physiologically relevant protein-protein interactions without introducing artifacts.
Adapting YER158C Antibody for high-throughput screening requires systematic optimization and standardization:
Implement automated liquid handling for consistent antibody dispensing across multiple plates
Miniaturize assay formats from standard 96-well to 384-well plates while maintaining signal-to-noise ratios
Optimize antibody concentration to balance sensitivity and cost-effectiveness
Develop robust positive and negative controls for each plate to normalize inter-plate variability
Consider using real-time cell analysis (RTCA) approaches with the xCelligence RTCA HT Analyzer for kinetic assessment of antibody binding effects
Implement automated image acquisition and analysis for cell-based screens
Validate high-throughput protocols against established standard assays to ensure comparability
This adaptation requires extensive validation to ensure that sensitivity and specificity are maintained despite reduced volumes and increased throughput.
Determining epitope specificity of YER158C Antibody requires a multi-method approach:
Peptide array analysis:
Synthesize overlapping peptides covering the entire YER158C sequence
Screen the antibody against these peptides to identify binding regions
Refine with alanine scanning of positive peptides to identify critical residues
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Compare deuterium uptake patterns of YER158C protein alone versus antibody-bound
Regions with reduced deuterium exchange when antibody is bound indicate epitope locations
X-ray crystallography or cryo-EM analysis:
Attempt to crystallize the antibody-antigen complex
Determine atomic resolution structure to precisely map the epitope
Competitive binding assays:
Design experiments where the antibody competes with known ligands or other antibodies
Blocked binding suggests overlapping epitopes
These complementary approaches provide a comprehensive understanding of the structural basis for antibody specificity.
Computational approaches can significantly enhance experimental design with YER158C Antibody:
Structural bioinformatics and molecular simulations can predict antibody-antigen interactions, similar to approaches used in the GUIDE program for antibody optimization
Machine learning algorithms can analyze binding patterns across multiple experiments to identify optimal conditions
Molecular dynamics simulations can predict how buffer conditions might affect epitope accessibility
In silico epitope prediction tools can identify potentially immunogenic regions of YER158C protein
Computational design of mutant variants can help test binding specificity hypotheses
Supercomputing resources, similar to those used in antibody redesign projects , can simulate large-scale molecular interactions to predict cross-reactivity
As demonstrated in related antibody research, computational binding predictions driven by advanced structural bioinformatics and molecular simulations allow for optimization across multiple parameters simultaneously .
When comparing YER158C Antibody performance against alternative detection methods, consider the following methodological assessment:
Mass spectrometry-based approaches:
Provide higher specificity through peptide mass fingerprinting
Enable absolute quantification when using isotope-labeled standards
May detect post-translational modifications missed by antibody-based methods
Typically require more sophisticated equipment and expertise
Genetic tagging approaches (GFP, FLAG, etc.):
Offer high specificity through defined epitope tags
Enable live-cell imaging when using fluorescent tags
May alter protein function or localization
Require genetic modification of the host organism
Aptamer-based detection:
Potentially offers similar specificity with different binding characteristics
May provide advantages in certain buffer conditions where antibodies perform poorly
Typically less established for yeast proteins
Comparative validation should include side-by-side testing with standardized samples, assessing detection limits, dynamic range, and reproducibility for each method.
When comparing results from different antibody lots, researchers should systematically address the following factors:
Lot-specific validation:
Perform side-by-side testing of basic binding parameters
Document lot-specific optimal dilutions for each application
Create standard curves with purified antigen to normalize between lots
Documentation and standardization:
Maintain detailed records of lot numbers used in experiments
Standardize critical reagents and protocols across experiments
Consider purchasing larger lots for long-term projects to minimize variability
Statistical analysis:
Implement appropriate statistical methods to determine if lot differences are significant
Consider multilevel models that account for lot as a random effect
Calculate and report confidence intervals rather than just p-values
Experimental design:
Include internal controls that can be used to normalize between lots
Consider replicate designs that incorporate multiple lots to assess variability
When possible, repeat critical experiments with different lots to ensure reproducibility
Adhering to these systematic approaches helps distinguish biological findings from technical variability introduced by antibody lot differences.
When encountering weak or absent Western blot signals with YER158C Antibody, implement this systematic troubleshooting approach:
Sample preparation optimization:
Ensure complete protein extraction from yeast cells using appropriate lysis buffers
Incorporate protease inhibitors to prevent target degradation
Optimize protein loading quantity (typically 20-50 μg total protein)
Transfer efficiency improvement:
Adjust transfer conditions for high molecular weight proteins (lower current, longer time)
Consider using PVDF membrane instead of nitrocellulose for stronger protein binding
Verify transfer using reversible staining methods (Ponceau S)
Antibody binding enhancement:
Increase primary antibody concentration or incubation time (overnight at 4°C)
Optimize blocking conditions to reduce background while preserving specific binding
Consider alternative blocking agents (BSA instead of milk for phospho-specific epitopes)
Detection sensitivity improvement:
Implement more sensitive detection systems (enhanced chemiluminescence)
Consider amplification steps such as biotin-streptavidin systems
Optimize exposure times for digital imaging systems
These methodological adjustments should be implemented sequentially while maintaining appropriate controls to identify the specific limiting factor.
To address non-specific binding issues with YER158C Antibody, implement this comprehensive strategy:
Blocking optimization:
Washing protocol enhancement:
Increase wash buffer stringency (higher detergent concentration)
Extend washing times and increase the number of washes
Implement temperature variations (room temperature vs. 4°C) to optimize specificity
Antibody dilution refinement:
Perform careful titration experiments to identify optimal concentrations
Consider pre-adsorption against related proteins to remove cross-reactive antibodies
Implement stringent negative controls to establish background thresholds
Sample preparation refinement:
Include additional purification steps to remove components that may cause non-specific binding
Pre-clear samples with protein A/G beads to remove endogenous immunoglobulins
Adjust salt concentration in buffers to reduce ionic interactions
Systematic implementation and documentation of these approaches will help identify the optimal conditions for specific detection while minimizing background.
YER158C Antibody could be adapted for cutting-edge single-cell analysis through several innovative approaches:
Mass cytometry (CyTOF) integration:
Conjugate YER158C Antibody with rare earth metals for mass cytometry detection
Develop multiplexed panels including YER158C alongside other yeast proteins
Enable quantitative analysis of protein expression at single-cell resolution
Single-cell Western blotting:
Adapt YER158C Antibody protocols for microfluidic single-cell Western blot platforms
Optimize detection sensitivity for the lower protein amounts present in individual cells
Correlate YER158C expression with other cellular parameters
In situ protein analysis:
Develop proximity ligation assays using YER158C Antibody to detect protein interactions in fixed yeast cells
Implement highly multiplexed immunofluorescence using cyclic immunostaining or DNA-barcoded antibodies
Correlate protein localization with functional cellular parameters
These emerging applications require thorough validation and optimization but offer unprecedented insights into cell-to-cell variability in YER158C expression and function.
Developing anti-idiotypic antibodies against YER158C Antibody requires careful consideration of several factors:
Selection strategy design:
Perform selection of anti-idiotypic antibodies in the presence of isotype sub-class matched antibodies as blockers to ensure idiotope specificity
Include human serum during selection to avoid matrix effects in the final assay
Guide the selection method to generate specific types of anti-idiotypic antibodies with different binding modes
Binding mode characterization:
Differentiate between inhibitory antibodies (Type 1) that block antigen binding site versus non-inhibitory antibodies (Type 2) that bind outside the antigen binding site
Consider developing complex-specific binders (Type 3) for specialized applications
Validate binding modes through competitive binding assays
Production and purification:
Validation and application:
Establish specificity through extensive cross-reactivity testing
Validate utility in immunoassay development
Assess stability and reproducibility across production lots
These considerations follow established principles for anti-idiotypic antibody development while addressing the specific characteristics of YER158C Antibody .
The most critical factors for successful implementation of YER158C Antibody in research protocols include:
Stringent quality control and validation:
Verify antibody specificity through multiple complementary techniques
Establish optimal working dilutions for each application
Document lot-to-lot consistency through standardized testing
Appropriate experimental design:
Optimized sample preparation:
Develop protocols that preserve YER158C protein integrity
Address potential interfering substances in complex biological samples
Standardize sample collection and processing to minimize variability
Rigorous data analysis:
Implement appropriate statistical methods for quantitative analyses
Establish clear criteria for positive versus negative results
Consider multiple analytical approaches to confirm findings
Transparent reporting:
Document detailed methodological parameters including antibody dilutions, incubation times, and buffer compositions
Report both positive and negative findings to advance the field
Share optimized protocols to enhance reproducibility across laboratories