Gene Details (From Saccharomyces Genome Database ):
| Property | Description |
|---|---|
| Gene Name | YHR219W |
| UniProt ID | P38900 |
| Chromosomal Location | Right arm of chromosome VIII (Telomere region) |
| Protein Function | Putative helicase-like protein; unknown biological role |
| Sequence Length | 1,158 base pairs (DNA); 385 amino acids (Protein) |
| Strain | S. cerevisiae ATCC 204508 / S288c |
Contains conserved helicase domains (DEAD/DEAH box family motifs)
No experimentally validated enzymatic activity reported to date
Target Validation:
Detects endogenous YHR219W expression in yeast lysates via Western Blot .
Protein Localization:
Potential for Immunocytochemistry (pending experimental validation) .
Functional Studies:
Used in co-immunoprecipitation assays to identify helicase-associated protein complexes .
Specificity confirmed using S288c lysates; no cross-reactivity data for other yeast strains .
Requires validation via knockout controls, as ~12% of commercial antibodies fail target recognition in peer-reviewed studies .
Genetic Interactions:
YHR219W shows 5 physical/genetic interactions with telomere-associated proteins (e.g., YKU70, EST1), suggesting a role in telomere maintenance .
Expression Profile:
Low-abundance protein (median abundance: 0.2 ppm in S288c proteome) .
No observable phenotype in YHR219W knockout strains under standard lab conditions .
Helicase-like domains remain uncharacterized mechanistically.
YHR219W is a putative protein of unknown function with similarity to helicases, located in the telomere region on the right arm of chromosome VIII in Saccharomyces cerevisiae (baker's yeast) . Researchers use antibodies against this protein primarily to:
Study telomere dynamics and DNA supercoiling in yeast
Investigate protein-protein interactions at telomeric regions
Examine its potential helicase function in DNA replication or repair
Analyze its role in RNA binding as suggested by affinity capture-RNA studies
The protein appears in telomere regions where positive supercoiling has been observed in yeast genomes , suggesting potential involvement in DNA topology regulation.
Proper validation of YHR219W antibodies requires multiple complementary approaches:
| Validation Method | Technical Approach | Expected Outcome |
|---|---|---|
| Western blot with knockout controls | Compare wild-type with ΔYHR219W strain lysates | Single specific band present in wild-type, absent in knockout |
| Immunoprecipitation followed by mass spectrometry | Pull-down with anti-YHR219W followed by MS identification | YHR219W as the primary identified protein |
| Immunofluorescence with specificity controls | Stain wild-type and ΔYHR219W strains | Telomeric localization signal in wild-type only |
| Recombinant protein recognition | Test antibody against purified recombinant YHR219W | High-affinity binding with low background |
The validation approach follows similar principles used in modern antibody characterization, where multiple lines of evidence establish specificity .
Optimizing ChIP with YHR219W antibodies requires specific considerations:
Crosslinking optimization: Due to YHR219W's potential association with telomeric regions, dual crosslinking with both formaldehyde (1%) and ethylene glycol bis(succinimidyl succinate) (EGS) is recommended to stabilize indirect DNA-protein interactions.
Sonication parameters: Start with 10-12 cycles (30s on/30s off) to generate 200-500bp fragments for optimal resolution of telomeric binding sites.
Antibody concentration: Titrate between 2-5 μg per reaction, as telomere-associated proteins often require higher antibody concentrations for efficient IP.
Washing stringency: Use high-salt washes (up to 500mM NaCl) to reduce background without disrupting specific interactions.
Elution conditions: Consider native elution with competing peptides when available to preserve protein activity for downstream functional studies.
This approach draws from principles used in active learning strategies for efficient experimental design in antibody-based studies .
Based on available evidence, the most effective applications include:
Affinity capture-RNA studies: YHR219W has been shown to interact with RNA through affinity capture experiments , suggesting utility in RNA immunoprecipitation (RIP) assays.
DNA topology analysis: Given its similarity to helicases and presence in regions of positive supercoiling , YHR219W antibodies can be used to correlate protein localization with DNA topology maps.
Protein complex identification: The interaction between YHR219W and HEK2 (an RNA binding protein) suggests utility in co-IP experiments to identify novel telomere-associated complexes.
Telomere function studies: Immunofluorescence with YHR219W antibodies can help track telomere dynamics during cell cycle progression and stress responses.
Chromatin structure analysis: Combining ChIP-seq with GapR-seq (which detects positive supercoiling) can reveal correlations between YHR219W binding and DNA topology.
While commercial antibodies are available for YHR219W , epitope-tagging offers complementary advantages:
Scarless gene tagging approach: Using the method described by , researchers can generate C- or N-terminal fusions of YHR219W with fluorescent proteins like mNeonGreen through a one-step transformation and two-step selection process.
Split fluorescent protein tagging: For minimally disruptive labeling, techniques using split-GFP can be applied where one fragment is fused to YHR219W and complemented by the other fragment expressed separately.
Tag selection considerations:
| Tag Type | Advantages | Potential Limitations with YHR219W |
|---|---|---|
| Small epitopes (FLAG, HA) | Minimal functional disruption | May not be accessible in telomeric chromatin |
| Fluorescent proteins | Direct visualization | Potential interference with helicase activity |
| Enzyme tags (HRP, APEX) | Proximity labeling | May alter cellular localization |
Validation strategy: Always compare antibody-based detection with tag-based detection to confirm consistency in localization and interaction patterns.
Detecting post-translational modifications (PTMs) of YHR219W presents several challenges:
Low abundance: As a putative helicase in telomeric regions, YHR219W is likely expressed at low levels, making PTM detection difficult.
PTM-specific antibodies: Generation of antibodies against predicted phosphorylation, SUMOylation, or ubiquitination sites requires:
In silico prediction of modification sites
Synthetic peptides containing the modified residue
Multiple-rabbit immunization strategy to increase success rates
Mass spectrometry approach:
Enrich YHR219W using the primary antibody
Digest with multiple proteases to increase sequence coverage
Apply neutral loss scanning for phosphorylation
Use SUMO remnant antibodies for SUMOylation detection
Modification-dependent function: Testing for modification-dependent interactions using proximity-dependent biotin identification (BioID) coupled with YHR219W antibodies can reveal condition-specific interaction partners.
Machine learning (ML) can significantly improve experimental efficiency when working with antibodies against poorly characterized proteins like YHR219W:
Active learning strategies: The approach described in demonstrates how AL can reduce the number of experiments needed by 35% and speed up the learning process by 28 steps compared to random selection. This can be applied when:
Optimizing immunoprecipitation conditions for YHR219W
Determining the best fixation and permeabilization conditions for immunofluorescence
Identifying the optimal epitope for new antibody generation
Model-based experimental design:
Query-by-Committee approach: Train multiple models to predict antibody performance under different conditions and prioritize experiments where models disagree
Gradient-Based Uncertainty: Focus on experimental conditions where the model's predictions are most uncertain
Diversity-based approaches:
When studying protein complexes involving YHR219W:
Sequential immunoprecipitation:
Proximity labeling:
Express YHR219W fused to BioID or APEX2
Validate localization using YHR219W antibodies
Induce biotinylation of proximal proteins
Identify interaction network through streptavidin pull-down and mass spectrometry
Crosslinking mass spectrometry (XL-MS):
Apply protein crosslinkers (DSS, BS3) to yeast cultures
Immunoprecipitate with YHR219W antibodies
Digest and analyze crosslinked peptides by MS
Map interaction surfaces between YHR219W and partners
Live-cell co-localization:
Compare antibody-based fixed cell imaging with live-cell fluorescent protein tagging
Confirm physiological relevance of interactions observed in biochemical assays
When encountering specificity issues:
Cross-reactivity assessment:
Test antibody against lysates from multiple yeast strains
Include ΔYHR219W strain as negative control
Perform peptide competition assays with immunizing peptide
Pre-adsorb antibody with yeast lysates lacking YHR219W
Epitope accessibility optimization:
Test multiple protein extraction methods (native vs. denaturing)
Evaluate different fixation protocols (formaldehyde, methanol, acetone)
Try epitope retrieval methods if using fixed samples
Antibody format considerations:
Compare performance of polyclonal vs. monoclonal antibodies
Test different antibody fragments (Fab, F(ab')2) if steric hindrance is suspected
Consider using recombinant antibodies derived from hybridomas for better reproducibility
Signal enhancement strategies:
Implement tyramide signal amplification for low abundance detection
Use tandem antibody labeling approaches
Apply proximity ligation assay (PLA) to verify specific interactions
Proper experimental design is crucial for antibody-based studies:
Control implementation:
Genetic controls: wild-type vs. ΔYHR219W strains
Antibody controls: specific IgG vs. non-specific IgG
Technical controls: input samples, blocking peptide competition
Independent variables: Growth conditions, strain background, cellular treatments
Dependent variables: YHR219W expression level, localization pattern, interaction partners
Extraneous variables: Batch effects, antibody lot variation, environmental conditions
Randomization and blinding:
Randomize sample processing order
Implement observer blinding during image analysis
Use automated analysis workflows when possible
Statistical considerations:
Perform power analysis to determine sample size
Apply appropriate statistical tests based on data distribution
Implement multiple testing correction for high-throughput studies
Reproducibility practices:
Document antibody lot numbers and dilutions
Establish standard operating procedures for key protocols
Maintain detailed records of all experimental conditions
By following these principles, researchers can generate robust and reproducible data when working with YHR219W antibodies, advancing our understanding of this putative helicase and its role in yeast telomere biology.