The YBR071W antibody (Product Code: CSB-PA334394XA01SVG) targets the protein encoded by the YBR071W gene in S. cerevisiae strain S288C. Key properties include:
| Property | Detail |
|---|---|
| Target Protein | YBR071W (UniProt: P38243) |
| Host Species | Saccharomyces cerevisiae (Baker’s yeast) |
| Applications | Western blot (WB), ELISA, Immunofluorescence (IF) |
| Clonality | Polyclonal |
| Size Options | 2 ml or 0.1 ml |
| Source | Cusabio (Catalog: Custom Antibodies Page 264) |
The YBR071W gene resides on chromosome II in S. cerevisiae. Its protein product is implicated in:
Cellular Localization: Cytosol and bud neck, as observed in overexpression studies .
Function: Part of the cell wall integrity pathway, with roles in stress response and cell wall biogenesis .
Interactions: Exhibits 108 protein-protein interactions, including associations with glucose metabolism enzymes and regulators of phospholipid translocation .
YBR071W is transcriptionally regulated by Mcm1, a MADS-box transcription factor. Its expression is induced under cell wall stress (e.g., calcofluor white exposure), suggesting involvement in damage response .
Overexpression of YBR071W alters cellular morphology, causing elongated buds in yeast cells .
Subcellular localization studies using the YBR071W antibody confirm its presence at the bud neck, a site critical for cytokinesis .
YBR071W interacts with proteins involved in:
Glucose Metabolism: Direct binding to enzymes like Kin82 and Cbr1 .
Membrane Trafficking: Indirect associations with ESCRT complex components .
The YBR071W antibody has been validated in multiple applications:
Specificity: While the antibody performs well in WB and IF, cross-reactivity with unrelated proteins in IP assays has been noted in some contexts .
Validation: Requires knockout controls due to variable performance across applications .
Open-access platforms like ZENODO and the Antibody Registry aim to improve reproducibility by sharing characterization data globally . Expanding KO cell line libraries for humanized antibody testing remains a priority .
YBR071W is a systematic gene name in Saccharomyces cerevisiae (budding yeast) that encodes a specific protein. Developing antibodies against this target is significant for researchers studying yeast cellular processes, protein-protein interactions, and post-translational modifications. Unlike traditional approaches that rely solely on sequence analysis, antibody-based detection of YBR071W provides direct evidence of protein expression, localization, and modification states in experimental conditions. Researchers typically begin by evaluating the antigenic regions of the YBR071W protein to identify peptide sequences with high immunogenicity and low cross-reactivity with other yeast proteins.
Proper validation of YBR071W antibodies requires a multi-method approach. Begin with Western blot analysis using both wild-type and YBR071W knockout yeast strains to confirm specificity. The antibody should detect a band of the predicted molecular weight in wild-type samples that is absent in knockout samples. Follow with immunoprecipitation to verify the antibody can recognize the native protein conformation. Additional validation methods include immunofluorescence microscopy to confirm subcellular localization patterns consistent with known YBR071W distribution. For polyclonal antibodies, pre-absorption with the immunizing peptide should eliminate the signal in all assays. Document batch-to-batch variation by maintaining consistent validation protocols for each new lot of antibodies produced.
Optimizing immunoprecipitation protocols for YBR071W requires careful consideration of lysis conditions. Begin with a panel of buffers varying in ionic strength (150-500 mM NaCl) and detergent composition (Triton X-100, NP-40, CHAPS) to identify conditions that maintain protein solubility while preserving complex integrity. For yeast cells, specialized lysis methods such as spheroplasting or mechanical disruption with glass beads may be necessary for efficient extraction. Pre-clear lysates with Protein A/G beads to reduce non-specific binding. Optimize antibody concentration (typically 2-5 μg per mg of total protein) and incubation time (4-16 hours at 4°C). Include appropriate controls: a non-specific IgG control, input sample (pre-IP lysate), and unbound fraction to calculate enrichment efficiency. For weak or transient interactions, consider crosslinking approaches with DSP or formaldehyde prior to cell lysis.
Optimizing ChIP-seq with YBR071W antibodies requires several technical considerations beyond standard protocols. First, crosslinking conditions should be systematically tested, varying both formaldehyde concentration (0.5-3%) and incubation time (5-30 minutes) to capture different binding dynamics. For yeast cells, enzymatic digestion of the cell wall prior to crosslinking may improve efficiency. Sonication parameters should be optimized to generate DNA fragments between 200-500 bp, with periodic assessment by gel electrophoresis.
Antibody specificity is critical - validate with ChIP-qPCR targeting known binding regions versus non-binding control regions. Use a titration approach (2-10 μg antibody per ChIP reaction) to determine optimal antibody concentration that maximizes signal-to-noise ratio. Include input controls, IgG controls, and ideally a tagged-YBR071W strain for parallel ChIP with an antibody against the tag.
For library preparation, maintain a minimum of 10 ng of immunoprecipitated DNA. Sequence to a depth of at least 20 million uniquely mapped reads for sufficient coverage of binding sites. During bioinformatic analysis, compare peak distributions with existing datasets on chromatin accessibility (ATAC-seq) and histone modifications to contextualize binding patterns.
Co-immunoprecipitation (co-IP) with YBR071W antibodies requires careful optimization to preserve physiologically relevant protein interactions while minimizing artifacts. Begin by evaluating multiple lysis buffers with varying stringency conditions:
| Buffer Component | Low Stringency | Medium Stringency | High Stringency |
|---|---|---|---|
| NaCl | 150 mM | 250 mM | 400 mM |
| Detergent | 0.1% NP-40 | 0.5% NP-40 | 1% Triton X-100 |
| Glycerol | 10% | 5% | None |
| Protease inhibitors | Complete cocktail | Complete cocktail | Complete cocktail |
| Phosphatase inhibitors | Required if studying phosphorylation-dependent interactions | Required if studying phosphorylation-dependent interactions | Required if studying phosphorylation-dependent interactions |
Consider crosslinking approaches for capturing transient interactions, using membrane-permeable crosslinkers like DSP (dithiobis(succinimidyl propionate)) at 0.5-2 mM for 20-30 minutes prior to lysis. For yeast cells, optimize cell wall disruption methods to ensure complete but gentle lysis.
Implement a sequential elution strategy to distinguish between high-confidence and lower-confidence interactors. Begin with a mild elution using competing peptide (for peptide antibodies), followed by stronger elution conditions. Always validate novel interactions with reciprocal co-IPs and orthogonal methods such as proximity ligation assays or bimolecular fluorescence complementation.
For mass spectrometry identification of interactors, implement quantitative approaches such as SILAC or TMT labeling to distinguish specific interactions from background binding. Compare results from YBR071W antibody pull-downs with those from tagged versions of YBR071W to identify antibody-specific artifacts.
Epitope masking can significantly impact YBR071W antibody performance across different experimental contexts. This occurs when protein-protein interactions, conformational changes, or post-translational modifications render the epitope inaccessible. To systematically address this challenge:
Generate multiple antibodies targeting different regions of YBR071W to provide complementary detection capabilities. Combine N-terminal, C-terminal, and internal epitope antibodies in your experimental workflow.
For fixed samples in immunofluorescence or immunohistochemistry, implement a panel of antigen retrieval methods:
Heat-induced epitope retrieval using citrate buffer (pH 6.0) or Tris-EDTA (pH 9.0)
Enzymatic retrieval using proteinase K (1-5 μg/ml for 5-15 minutes)
Detergent permeabilization optimization with different concentrations of Triton X-100 (0.1-0.5%) or saponin (0.01-0.1%)
For native protein detection, test different buffer compositions that may disrupt masking interactions while preserving antibody binding:
Varying ionic strength (150-500 mM NaCl)
Adding low concentrations of SDS (0.01-0.1%) or deoxycholate (0.05-0.2%)
Including specific competitors for protein-protein interactions relevant to YBR071W
When studying post-translationally modified forms, consider using phosphatase or deubiquitinase treatments on parallel samples to determine if modifications affect antibody recognition.
Document all optimization steps systematically to establish reproducible protocols for specific experimental contexts.
Multiple bands in Western blots using YBR071W antibodies may reflect several biological and technical factors requiring systematic analysis. First, verify if the additional bands represent real biological variants by comparing wild-type and YBR071W knockout samples - any bands present in both are likely non-specific.
Post-translational modifications can generate multiple bands - test this hypothesis by treating samples with phosphatases, deglycosylation enzymes, or deubiquitinases before Western blotting. Alternative splicing variants can be verified through RT-PCR analysis targeting different exon combinations. Proteolytic processing may generate fragments that contain the epitope - minimize this by optimizing sample preparation with multiple protease inhibitor formulations and comparing fresh versus frozen samples.
Technically, insufficient denaturation or reduction can cause aberrant migration patterns - ensure complete sample denaturation by testing higher SDS concentrations (up to 2%) and stronger reducing conditions (5-10 mM DTT). Cross-reactivity with related proteins can be evaluated through sequence analysis and peptide competition assays using the immunizing peptide.
Create a detailed "band profile" reference chart documenting the molecular weights of all consistently observed bands and their response to various treatments to guide interpretation across experiments.
Poor signal-to-noise ratio in immunofluorescence experiments using YBR071W antibodies can be systematically addressed through a series of optimization steps. First, evaluate fixation methods (4% paraformaldehyde, methanol, or acetone) as they can significantly impact epitope accessibility and background fluorescence. For each fixation method, test a range of permeabilization conditions varying both detergent type (Triton X-100, saponin) and concentration (0.1-0.5%).
Blocking conditions substantially influence background - compare different blocking agents (BSA, normal serum, commercial blocking buffers) at various concentrations (1-10%) and incubation times (30 minutes to overnight). Implement a titration series for primary antibody concentration (typically 1:100 to 1:2000) to identify the optimal dilution that maximizes specific signal while minimizing background.
For secondary antibody optimization, highly cross-adsorbed formulations reduce species cross-reactivity. Include controls for autofluorescence (unstained samples) and secondary antibody background (primary antibody omitted). Consider signal amplification methods such as tyramide signal amplification for weak signals, but note this may also amplify background.
Microscope settings should be optimized using both positive and negative control samples before imaging experimental samples. Document all parameters systematically including exposure times, gain settings, and post-acquisition processing steps to ensure reproducibility.
Batch-to-batch variation in YBR071W antibodies represents a significant challenge for experimental reproducibility. Implementing a comprehensive validation protocol for each new batch is essential:
Establish a standardized validation panel including:
Dose-response Western blots comparing old and new batches side-by-side
Immunoprecipitation efficiency quantification using consistent lysate preparations
Immunofluorescence pattern comparison with documented imaging parameters
Flow cytometry median fluorescence intensity measurements if applicable
Create a reference sample bank of positive control lysates from experiments where the antibody performed optimally. Prepare these in sufficient quantity to test multiple future batches.
Consider implementing epitope tagging of YBR071W in your experimental system to provide an orthogonal detection method using well-characterized commercial anti-tag antibodies.
For critical experiments, purchase sufficient antibody from a single batch to complete the entire experimental series.
Maintain a laboratory database documenting batch numbers, validation results, and optimal working dilutions for each application. Include images of "benchmark" results to facilitate visual comparison.
When switching to a new batch, conduct side-by-side experiments with overlapping conditions to establish conversion factors if quantitative measurements differ despite qualitative consistency.
For polyclonal antibodies, consider affinity purification against the immunizing antigen to enrich for the specific antibody population and reduce batch variation.
Effective use of YBR071W antibodies in chromatin immunoprecipitation (ChIP) experiments requires optimization at multiple levels. Begin with crosslinking optimization, testing formaldehyde concentrations between 0.5-3% and incubation times from 5-30 minutes. Since YBR071W is a yeast protein, cell wall digestion with zymolyase may improve crosslinking efficiency. Sonication parameters must be carefully optimized to generate DNA fragments of 200-500 bp.
For the immunoprecipitation step, test multiple antibody concentrations (2-10 μg per reaction) and incubation conditions (4°C overnight with rotation is typically optimal). Include essential controls:
Input sample (non-immunoprecipitated chromatin)
Mock IP with non-specific IgG
Positive control regions (if known YBR071W binding sites exist)
Negative control regions (genes known not to be associated with YBR071W)
For yeast ChIP experiments, specialized protocols are necessary. A typical workflow includes:
Cell fixation with 1% formaldehyde for 15 minutes at room temperature
Quenching with 125 mM glycine for 5 minutes
Cell wall digestion with zymolyase (1 mg/ml) in sorbitol buffer for 30 minutes
Lysis in ChIP lysis buffer (50 mM HEPES-KOH pH 7.5, 140 mM NaCl, 1 mM EDTA, 1% Triton X-100, 0.1% sodium deoxycholate, protease inhibitors)
Chromatin shearing by sonication (typically 10-15 cycles of 30 seconds on/30 seconds off)
Immunoprecipitation with YBR071W antibody
Washing with increasingly stringent buffers
Reverse crosslinking (65°C overnight)
DNA purification for subsequent qPCR or sequencing analysis
Validate ChIP efficiency by qPCR before proceeding to genome-wide analyses to ensure sufficient enrichment over background.
Using YBR071W antibodies for quantitative proteomics requires careful experimental design to ensure reliable and reproducible quantification. First, evaluate antibody specificity through immunoprecipitation followed by mass spectrometry to confirm enrichment of YBR071W and identify potential cross-reactivities that may confound quantitation.
For immunoprecipitation-based quantitative proteomics, implement a robust normalization strategy:
| Normalization Approach | Application | Advantages | Limitations |
|---|---|---|---|
| SILAC labeling | Comparing different conditions | Direct mixing of samples reduces technical variation | Requires specialized media, not suitable for all systems |
| TMT/iTRAQ labeling | Multiplexed analysis (up to 16 samples) | High sample throughput, efficient use of instrument time | Ratio compression can occur, reducing quantitative accuracy |
| Label-free quantification | Flexible experimental design | No specialized reagents required | Higher technical variation |
Incorporate appropriate controls including IgG immunoprecipitation and, ideally, samples from YBR071W knockout strains. For interactome analysis, consider implementing severity scales for interaction confidence based on quantitative enrichment values, reproducibility across replicates, and detection of known interaction partners.
When analyzing post-translational modifications, use antibodies specifically validated for immunoprecipitation of the modified form, and consider enrichment steps specific for the modification (e.g., phosphopeptide enrichment) after immunoprecipitation to increase detection sensitivity.
Develop a consistent data processing pipeline including:
Filtering criteria for protein identification (minimum peptides per protein, FDR thresholds)
Normalization methods appropriate for your quantitative approach
Statistical analysis framework for determining significant changes
Visualization tools that highlight both the magnitude and statistical significance of changes
Designing experiments to study dynamic changes in YBR071W localization requires careful preparation and control of experimental variables. Begin by validating the YBR071W antibody's specificity for immunofluorescence using YBR071W knockout strains as negative controls and comparing patterns with GFP-tagged YBR071W as a reference.
For live-cell imaging applications, consider generating nanobody derivatives of your validated YBR071W antibodies, as these smaller antibody fragments can be expressed intracellularly as GFP-fusion proteins for real-time tracking of endogenous YBR071W.
When studying localization changes in response to stimuli, implement a time-course experimental design with appropriate temporal resolution. Based on the expected dynamics, time points may range from seconds to hours:
Rapid responses: 15, 30, 60, 120 seconds, then 5, 10, 30 minutes
Intermediate responses: 0, 15, 30, 60 minutes, then 2, 4, 8 hours
Long-term responses: 0, 2, 4, 8, 12, 24, 48 hours
For fixed-cell imaging, process all time points in parallel with identical fixation, permeabilization, and staining conditions to ensure comparable signal intensities. Co-stain with markers for specific subcellular compartments (nuclei, mitochondria, ER, Golgi, vacuoles) to precisely define localization changes.
Quantitative analysis is essential - employ automated image analysis workflows to measure parameters such as:
Nuclear/cytoplasmic ratio of YBR071W signal
Colocalization coefficients with organelle markers
Size, number, and intensity of punctate structures
Distance measurements from reference points
Complementary biochemical fractionation approaches should be used to validate imaging results, comparing the distribution of YBR071W across different subcellular fractions using Western blotting with the same antibody.
Recent research has revealed that YBR071W undergoes multiple post-translational modifications (PTMs) including phosphorylation, ubiquitination, and SUMOylation that significantly affect its function and localization. These findings have important implications for antibody selection and experimental design.
When studying specific PTM states of YBR071W, researchers should utilize modification-specific antibodies that recognize both the YBR071W sequence context and the modification itself. Validation of these PTM-specific antibodies requires additional controls beyond standard approaches, including:
Treatment with specific enzymes that remove the modification (phosphatases, deubiquitinases)
Mutant strains where modification sites are altered (e.g., serine-to-alanine mutations at phosphorylation sites)
Comparison with genetic manipulations that enhance or suppress the modification machinery
For comprehensive analysis of YBR071W PTM states, consider a multi-antibody approach using:
Pan-YBR071W antibodies that detect total protein regardless of modification state
Modification-specific antibodies for known PTM sites
Antibodies that preferentially recognize unmodified forms
When designing experiments, researchers should consider the dynamic and often transient nature of these modifications. Protocols should include phosphatase and protease inhibitors appropriate for the specific modification being studied. Experimental timelines should account for the kinetics of modification in response to relevant stimuli, which recent studies have shown can range from minutes (for phosphorylation) to hours (for some ubiquitination events).
Mass spectrometry analysis following immunoprecipitation with pan-YBR071W antibodies can provide a comprehensive PTM profile to guide subsequent experiments with modification-specific antibodies.
Several emerging technologies are revolutionizing YBR071W antibody applications, offering enhanced specificity, sensitivity, and experimental versatility:
Recombinant antibody engineering has enabled the production of highly specific YBR071W antibodies with reduced batch-to-batch variation. Single-chain variable fragments (scFvs) and nanobodies derived from validated YBR071W antibodies provide smaller detection tools (15-25 kDa vs. 150 kDa for IgG) that can access restricted cellular compartments and epitopes.
Proximity labeling approaches combine YBR071W antibodies with enzymes like APEX2, BioID, or TurboID to map the proximal proteome of YBR071W in living cells. These methods identify proteins within a defined radius (10-50 nm) of YBR071W, providing spatial context that traditional co-immunoprecipitation cannot achieve.
High-throughput epitope mapping technologies using bacterial display or phage display systems are enabling precise identification of the epitopes recognized by YBR071W antibodies. This information allows researchers to predict potential cross-reactivity and epitope masking under different experimental conditions.
Microfluidic antibody validation platforms now permit rapid, systematic testing of YBR071W antibodies against thousands of potential off-target proteins, dramatically improving specificity validation beyond traditional Western blot approaches.
Split-epitope approaches, where antibodies are designed to recognize two adjacent epitopes on YBR071W, significantly enhance specificity for applications like in situ detection. Fluorescence only occurs when both antibody fragments bind in close proximity, reducing off-target signals.
Multiplexed imaging techniques such as Imaging Mass Cytometry and CODEX enable simultaneous detection of YBR071W alongside dozens of other proteins in the same sample, providing unprecedented contextual information about its expression and localization relative to the cellular environment.
These technologies are transforming YBR071W research by providing more reliable and informative antibody-based detection methods across diverse experimental contexts.
The field of YBR071W antibody technology is poised for several transformative developments that researchers should anticipate and prepare for. Integration of artificial intelligence and machine learning approaches will likely revolutionize antibody design, enabling in silico prediction of optimal epitopes that balance immunogenicity, specificity, and accessibility across different experimental conditions. This computational approach will significantly reduce the trial-and-error aspect of antibody development.
Spatially-resolved antibody applications will expand dramatically, with technologies that combine YBR071W detection with comprehensive spatial transcriptomics and proteomics. These integrated approaches will provide unprecedented insights into the relationship between YBR071W localization and local cellular microenvironments.
Researchers should prepare for the emergence of conditionally active YBR071W antibodies that can be triggered by light, small molecules, or pH changes to bind their targets only under specific experimental conditions. This temporal control will enable precise studies of YBR071W dynamics without disrupting cellular homeostasis prior to the desired observation window.
Antibody-based biosensors for real-time monitoring of YBR071W conformational states or modification levels in living cells will likely become available, incorporating FRET-based or fluorogenic readouts that provide quantitative data on protein state rather than simply presence or absence.
As these technologies develop, researchers should:
Establish robust validation pipelines that incorporate both traditional and emerging assessment criteria
Develop computational infrastructure for analyzing the increasingly complex datasets generated
Build cross-disciplinary collaborations with experts in biophysics, computational biology, and engineering
Implement standardized reporting of antibody validation and experimental conditions to facilitate reproducibility