None of the 15 peer-reviewed sources provided in the search results mention "YPR170W-A Antibody."
Extensive databases such as PubMed, PMC, and PLOS ONE (Sources , , , , , ) were reviewed, but no matches were found for this identifier.
Antibody repositories like Antibody Research Corporation (Source ) and Abcam (Source ) also lack entries for this compound.
Verify Nomenclature: Confirm the correct spelling and context of "YPR170W-A." If derived from a proprietary study, contact the originating institution.
Explore Homologous Targets: Investigate antibodies targeting yeast ORFs (e.g., YPR proteins) or conserved epitopes (Source ).
Consult Recent Publications: Post-2025 studies may include novel antibodies not captured in this review.
YPR170W-A is a putative uncharacterized protein in Saccharomyces cerevisiae (baker's yeast) that has been identified as a component of the V₀ complex of V-ATPase. Research has tentatively identified it as subunit f of the V-ATPase. While deletion of YPR170W-A did not produce the VMA phenotype (indicating it's not essential for V-ATPase localization or proton pumping), its conservation in fungi suggests evolutionary significance .
To study this protein:
Use genetic approaches combining with immunological techniques
Apply complementary structural biology methods alongside antibody-based detection
Consider comparative analyses across fungal species where the protein is conserved
Validating antibody specificity for YPR170W-A requires multiple complementary approaches:
Knockout validation approach:
Recombinant protein validation:
Cross-reactivity assessment:
Test antibody against related yeast proteins
Examine reactivity in other fungal species that contain YPR170W-A homologs
This multi-faceted approach aligns with standardized antibody validation protocols outlined by YCharOS for other proteins .
When working with antibodies against uncharacterized proteins like YPR170W-A, implement these essential controls:
These controls are particularly important for uncharacterized proteins where limited validation data exists in literature .
For epitope mapping of YPR170W-A antibodies, consider this methodological approach:
Computational prediction:
Peptide array analysis:
Generate overlapping peptides spanning the YPR170W-A sequence
Test antibody binding to identify minimal epitope sequences
Mutation analysis:
Create point mutations or deletions in recombinant YPR170W-A
Assess impact on antibody binding to pinpoint critical residues
Cross-species conservation analysis:
Compare binding to YPR170W-A homologs from other fungal species
Identify conserved epitope regions with evolutionary significance
This approach has proven effective for epitope mapping, as demonstrated in biophysics-informed modeling of antibody-antigen interactions .
An effective experimental design would include:
Co-immunoprecipitation studies:
Use validated YPR170W-A antibodies to pull down protein complexes
Identify interacting partners through mass spectrometry
Confirm interactions with reciprocal co-IP using antibodies against other V-ATPase components
Proximity labeling experiments:
Fuse biotin ligase to YPR170W-A
Identify proximal proteins through streptavidin pulldown and MS analysis
Validate using antibodies against identified proteins
Immunolocalization studies:
Perform immunofluorescence using YPR170W-A antibodies
Co-stain with markers for V-ATPase localization
Compare patterns in wild-type vs. V-ATPase mutant strains
This approach follows established protocols for studying membrane protein complexes while leveraging the specificity of well-validated antibodies .
When encountering cross-reactivity with YPR170W-A antibodies, implement this troubleshooting protocol:
Identify cross-reactive species:
Compare banding patterns between wild-type and YPR170W-A knockout strains
Note molecular weights of non-specific bands
Optimize blocking conditions:
Test different blocking agents (BSA, milk, commercial blockers)
Evaluate extended blocking times
Antibody dilution optimization:
Perform titration series to find optimal concentration
Balance specific signal against background
Cross-adsorption:
Pre-incubate antibody with knockout cell lysate
Remove antibodies binding to non-specific epitopes
Alternative antibody selection:
If available, test antibodies targeting different epitopes
Consider polyclonal vs. monoclonal options
This systematic approach aligns with standardized antibody troubleshooting protocols used by antibody characterization initiatives like YCharOS .
Biophysics-informed modeling can significantly enhance YPR170W-A antibody development:
Binding mode identification:
The approach associates distinct binding modes with specific ligands, allowing:
Computational optimization:
This approach has been successfully used to design antibodies with customized specificity profiles, including those that can discriminate between very similar epitopes .
Different applications require specific considerations:
| Application | Key Considerations | Optimization Approach |
|---|---|---|
| Western Blot | - Protein denaturation may affect epitope accessibility - Membrane transfer efficiency for small proteins (61aa) | - Test different detergents/buffers - Use PVDF for small proteins - Consider gradient gels |
| Immunoprecipitation | - Native conformation preservation - Potential interference from interacting proteins | - Gentle lysis conditions - Crosslinking optimization - Detergent screening |
| Immunofluorescence | - Fixation impact on epitope - Accessibility in cellular compartments | - Compare different fixation methods - Permeabilization optimization |
| Flow Cytometry | - Cell permeabilization for intracellular targeting - Signal-to-noise ratio | - Fixation/permeabilization optimization - Antibody titration |
Validate each application independently using the knockout control approach, as demonstrated in standardized antibody characterization protocols .
To systematically evaluate multiple YPR170W-A antibodies:
Establish a standardized testing protocol:
Define consistent experimental conditions
Prepare identical sample sets (wild-type and knockout)
Process all antibodies simultaneously to minimize technical variation
Measure key performance metrics:
Specificity (signal in WT vs. KO)
Sensitivity (detection limit)
Signal-to-noise ratio
Batch-to-batch consistency
Document results thoroughly:
This approach mirrors the comprehensive antibody characterization methodologies used by YCharOS for other proteins .
To study YPR170W-A interactions with other V-ATPase components:
Crosslinking mass spectrometry (XL-MS):
Apply chemical crosslinkers to stabilize protein-protein interactions
Digest complexes and identify crosslinked peptides by MS
Map interaction surfaces within the V-ATPase complex
FRET-based interaction studies:
Tag YPR170W-A and potential partners with appropriate fluorophores
Measure energy transfer as indicator of proximity
Quantify interaction dynamics in living cells
Antibody-based proximity detection:
Use validated antibodies against YPR170W-A and other components
Apply proximity ligation assay (PLA) to visualize interactions
Quantify signals to measure interaction strength
Genetic interaction mapping:
Create double mutants (YPR170W-A plus other V-ATPase components)
Assess synthetic phenotypes
Validate protein-level interactions with antibodies
These approaches are supported by current methodologies in protein complex analysis as described in V-ATPase structural studies .
To develop a high-throughput screening assay:
Assay platform selection:
ELISA-based format for soluble applications
Cell-based assay for functional studies
AlphaScreen or related proximity assays for interaction studies
Antibody immobilization strategies:
Direct coating of microplates
Capture via secondary antibodies
Oriented immobilization through engineered tags
Readout optimization:
Enzymatic (HRP, AP) for colorimetric/luminescent detection
Fluorescent labeling for higher sensitivity
Time-resolved fluorescence for reduced background
Validation protocol:
Z-factor determination to assess assay quality
Positive and negative controls on each plate
YPR170W-A knockout samples as specificity controls
Automation considerations:
Liquid handling compatibility
Minimal washing steps
Stable signal development
This approach follows best practices in high-throughput assay development while maintaining scientific rigor through appropriate controls .
For developing bispecific antibodies:
Target selection rationale:
Identify functionally related V-ATPase components
Consider spatial proximity within the complex
Select targets that don't sterically hinder each other's binding
Design considerations:
Format selection (tandem scFv, diabody, DuoBody, etc.)
Linker optimization for proper epitope access
Domain orientation to minimize steric hindrance
Validation strategy:
Confirm binding to both targets individually
Verify simultaneous binding capability
Compare affinity to parental antibodies
Functional testing:
Assess impact on V-ATPase assembly
Measure effects on proton pumping activity
Evaluate cellular localization patterns
This approach is informed by bispecific antibody development methodologies described for other target combinations .
When faced with contradictory results:
Systematic characterization:
Test all antibodies side-by-side under identical conditions
Compare results using YPR170W-A knockout as definitive control
Document epitope locations if known
Potential explanations analysis:
Different epitope accessibility in various experimental conditions
Post-translational modifications affecting epitope recognition
Protein conformation differences (native vs. denatured)
Cross-reactivity with related proteins
Resolution strategy:
Validate findings with orthogonal non-antibody methods
Use multiple antibodies targeting different epitopes
Implement genetic tagging approaches as complementary strategy
Documentation protocol:
Record all experimental variables
Maintain detailed antibody information (lot, concentration, storage)
Share findings to improve community knowledge
This approach aligns with best practices for resolving antibody-related discrepancies in research .
When integrating YPR170W-A antibodies with other research tools:
CRISPR/genetic engineering compatibility:
Ensure epitope preservation in tagged constructs
Validate antibody recognition of modified proteins
Design tag location to minimize interference with antibody binding
Live-cell imaging considerations:
Evaluate internalization efficiency of labeled antibodies
Optimize labeling strategies to maintain binding properties
Consider photobleaching and phototoxicity in experimental design
Mass spectrometry integration:
Design immunoprecipitation protocols compatible with MS analysis
Consider crosslinking strategies to capture transient interactions
Implement controls to distinguish true interactors from background
Omics-level studies:
Ensure antibody specificity for large-scale applications
Develop standardized protocols for consistent results
Implement appropriate normalization and statistical analysis
This integrated approach maximizes the utility of YPR170W-A antibodies across diverse research applications while maintaining methodological rigor .