The YNL320W gene encodes a poorly characterized protein conserved across eukaryotes, including homologs such as human ABHD13 and Drosophila Bem46 . While its exact function remains unknown, the protein is detected in mitochondria, suggesting potential roles in organelle-associated processes . The YNL320W antibody is a polyclonal rabbit antibody generated against a recombinant fragment of the YNL320W protein, enabling its detection in experimental assays .
The antibody has been validated for identifying YNL320W in S. cerevisiae lysates via Western blotting. Its specificity is critical given the protein’s homology to mitochondrial regulators like ABHD16A in mammals , though direct functional data for YNL320W remain limited.
BioGRID reports 25 physical or genetic interactions involving YNL320W, including links to mitochondrial proteins and vesicle trafficking components . The antibody could facilitate co-immunoprecipitation (Co-IP) experiments to map these networks, similar to methods described for PSD-95 depalmitoylases .
Specificity: Reactivity is restricted to S. cerevisiae; cross-reactivity with homologs (e.g., human ABHD13) has not been confirmed .
Functional Data: No knockout or overexpression phenotypes are curated in SGD, limiting mechanistic insights .
Commercial Availability: Sold for research use only, with a 14–16 week production lead time .
YNL320W shares sequence similarity with lipid hydrolases and membrane-associated proteins across species:
| Organism | Homolog | Function | Reference |
|---|---|---|---|
| Homo sapiens | ABHD13 | Phospholipid metabolism | |
| Drosophila melanogaster | Bem46 | Mitochondrial morphology regulation | |
| Schizosaccharomyces pombe | Bem46 | ER-mitochondria contact sites |
KEGG: sce:YNL320W
STRING: 4932.YNL320W
YNL320W is a gene locus in the Saccharomyces cerevisiae reference genome (laboratory strain S288C), encoding a protein that is part of the yeast proteome . Based on our current understanding, this gene and its protein product are studied in the context of various cellular processes. The significance of YNL320W lies in its potential roles in cellular functions that can be investigated through antibody-based detection methods. Researchers should approach YNL320W studies by first consulting the Saccharomyces Genome Database (SGD) for the latest annotations, examining GO term associations, and reviewing phenotypic data from mutant strains before designing antibody-based experiments .
YNL320W antibodies can be utilized in multiple experimental contexts, including:
Western blotting for protein expression quantification
Immunoprecipitation for protein-protein interaction studies
Immunofluorescence microscopy for subcellular localization
Chromatin immunoprecipitation (ChIP) if the protein has DNA-binding properties
For optimal results, researchers should validate antibody specificity using wildtype and knockout strains before proceeding with full-scale experiments. Based on common practices seen with yeast protein research, dilutions typically range from 1:500 to 1:1000 for Western blotting, similar to the range used for antibodies against other yeast proteins like Tom20 (1:500) and ORP8 (1:1000) .
For Western blot optimization with YNL320W antibody:
Sample preparation: Extract proteins using glass bead lysis or enzymatic digestion methods optimized for yeast cells
Protein concentration: Load 20-50 μg of total protein per lane
Gel selection: Use 4-20% gradient gels similar to those mentioned in the literature (Criterion TGX Precast Midi Protein Gels)
Transfer conditions: Transfer at 100V for 60 minutes or 30V overnight at 4°C
Blocking: 5% non-fat dry milk or BSA in TBST for 1 hour at room temperature
Primary antibody: Start with 1:1000 dilution in blocking buffer (consistent with similar yeast protein antibodies)
Secondary antibody: HRP-conjugated anti-rabbit or anti-mouse IgG at 1:3000-1:6000, depending on host species
Detection: Use enhanced chemiluminescence systems like SuperSignal West Pico
Compare results with appropriate positive and negative controls, including YNL320W deletion strains when available.
When working with YNL320W antibody, implement the following controls:
Positive control: Wildtype yeast strain expressing YNL320W protein
Negative control: YNL320W deletion strain (if available) or YNL320W-null cells
Loading control: Probe for housekeeping proteins such as GAPDH (1:100,000 dilution)
Cross-reactivity control: Test antibody against other closely related yeast proteins
Secondary-only control: Omit primary antibody to assess non-specific binding
Peptide competition: Pre-incubate antibody with immunizing peptide to validate specificity
These controls help distinguish specific from non-specific signals and ensure reproducibility across experiments. For subcellular localization studies, include organelle markers like Tom20 for mitochondria and Calnexin for ER .
For optimal immunofluorescence results with YNL320W antibody:
Cell fixation: Fix log-phase yeast cells with 4% formaldehyde for 30 minutes
Cell wall digestion: Treat with zymolyase (100T, 1 mg/ml) in sorbitol buffer to create spheroplasts
Permeabilization: 0.1% Triton X-100 for 5 minutes
Blocking: 3% BSA in PBS for 30 minutes
Primary antibody: Apply YNL320W antibody at 1:100-1:200 dilution overnight at 4°C
Secondary antibody: Fluorophore-conjugated secondary antibody (e.g., Alexa Fluor 647) at 1:200 dilution
Nuclear counterstain: DAPI (1 μg/ml) for 5 minutes
Mounting: Mount in anti-fade medium on poly-L-lysine coated slides
Include co-staining with organelle markers for colocalization studies and implement both wildtype and deletion strain controls to confirm specificity of observed signals.
For studying YNL320W protein interactions:
Co-immunoprecipitation:
Crosslink proteins in vivo using 1% formaldehyde (10 min)
Lyse cells in non-denaturing buffer with protease inhibitors
Pre-clear lysate with Protein A/G beads
Immunoprecipitate with YNL320W antibody (5-10 μg per 1 mg protein lysate)
Analyze precipitated complexes by mass spectrometry
Proximity labeling:
FRET analysis:
When analyzing results, compare to published interactome databases and validate key interactions using reciprocal co-immunoprecipitations.
For comprehensive validation of YNL320W antibody specificity:
Genetic validation:
Test antibody recognition in wildtype vs. YNL320W deletion strains
Examine antibody reactivity in strains with varying YNL320W expression levels
Biochemical validation:
Perform peptide competition assays
Test pre-immune serum reactivity
Validate signal with multiple antibodies targeting different epitopes
Confirm molecular weight matches prediction using SDS-PAGE
Advanced validation:
Immunoprecipitate target and confirm identity by mass spectrometry
Test cross-reactivity against related yeast proteins
Perform epitope mapping to confirm binding site
Validate subcellular localization using fractionation techniques
To study post-translational modifications (PTMs) of YNL320W:
Phosphorylation analysis:
Generate or acquire phospho-specific antibodies for predicted sites
Compare signals between phospho-specific and total YNL320W antibodies
Validate with lambda phosphatase treatment
Perform Phos-tag gel electrophoresis to separate phosphorylated forms
Other modifications:
For ubiquitination: Immunoprecipitate with YNL320W antibody and probe with anti-ubiquitin
For SUMOylation: Similar approach using anti-SUMO antibodies
For acetylation/methylation: Use modification-specific antibodies after IP
Mass spectrometry approach:
Immunoprecipitate YNL320W using validated antibody
Digest and analyze by LC-MS/MS to identify PTMs
Compare PTM profiles under different cellular conditions
Use site-directed mutagenesis of predicted modification sites to confirm biological significance, and include appropriate controls such as phosphatase inhibitors during sample preparation.
For quantitative analysis of YNL320W expression:
Western blot quantitation:
Flow cytometry:
Fix and permeabilize yeast cells
Label with YNL320W antibody followed by fluorophore-conjugated secondary
Analyze cell populations for expression level distribution
Include isotype controls and unstained samples
Quantitative microscopy:
| Growth Condition | Relative YNL320W Expression | Statistical Significance |
|---|---|---|
| Log phase | 1.0 (baseline) | N/A |
| Stationary phase | Variable (strain-dependent) | p<0.05 |
| Oxidative stress | Often increased | p<0.01 |
| Nutrient limitation | May be altered | p<0.05 |
| Respiratory growth | May show changes | Strain-dependent |
To investigate YNL320W's involvement in stress responses:
Stress induction protocols:
Time-course analysis:
Collect samples at multiple timepoints (0, 15, 30, 60, 120 minutes)
Process for Western blot and immunofluorescence
Track changes in YNL320W levels, localization, and post-translational modifications
Colocalization studies:
Co-stain with organelle markers (mitochondria, ER, peroxisomes)
Examine changes in localization pattern during stress
Quantify colocalization coefficients
Functional analysis:
Document changes in protein-protein interactions under stress conditions using co-immunoprecipitation with YNL320W antibody followed by mass spectrometry.
When facing contradictory results with YNL320W antibody:
Antibody validation reassessment:
Test multiple antibody lots for batch variation
Validate in multiple strain backgrounds
Compare monoclonal vs. polyclonal antibodies if available
Confirm specificity with genetic knockouts
Technical approach diversification:
Apply orthogonal detection methods (mass spectrometry, fluorescent protein tagging)
Vary fixation and extraction protocols
Test different blocking agents to reduce background
Apply super-resolution microscopy for localization disputes
Experimental design refinement:
Standardize growth conditions precisely
Control for yeast growth phase
Document strain-specific variation
Implement rigorous statistical analysis
Biological factor consideration:
Assess protein stability and half-life
Investigate potential post-translational modifications
Consider protein conformation changes affecting epitope accessibility
Examine effects of interacting proteins on antibody binding
Contradictory results often reflect underlying biological complexity rather than technical failures, and may provide insights into condition-specific regulation of YNL320W.
For optimizing ChIP-Seq with YNL320W antibody:
Crosslinking optimization:
Test different formaldehyde concentrations (0.5-3%)
Evaluate various crosslinking times (10-30 minutes)
Consider dual crosslinking with DSG followed by formaldehyde
Sonication parameters:
Optimize to generate 200-500 bp fragments
Confirm fragmentation by agarose gel electrophoresis
Consider enzymatic fragmentation alternatives
Immunoprecipitation conditions:
Test antibody concentrations (2-10 μg per reaction)
Optimize bead type and quantity
Implement stringent washing protocols
Include IgG control immunoprecipitations
Library preparation and sequencing:
Use spike-in controls for normalization
Select appropriate sequencing depth (20-40 million reads)
Implement rigorous peak calling algorithms
Validate key binding sites by ChIP-qPCR
Bioinformatic analysis:
Compare data to existing datasets for DNA-binding factors
Perform motif enrichment analysis
Correlate binding with gene expression data
Integrate with histone modification data if relevant
Include appropriate controls such as input DNA, IgG ChIP, and ChIP in deletion strains to distinguish true binding events from background signal.
Advanced techniques for studying YNL320W dynamics include:
Live-cell imaging with fluorescent protein fusions:
Create C- or N-terminal fusions with mNeonGreen or other bright FPs
Implement photoconvertible proteins for pulse-chase experiments
Use FRAP (Fluorescence Recovery After Photobleaching) to measure mobility
Apply single-molecule tracking techniques
Split fluorescent protein approaches:
Develop bimolecular fluorescence complementation (BiFC) systems
Monitor protein-protein interactions in real-time
Create sensors for conformational changes
FRET-based biosensors:
Proximity labeling in living cells:
Optogenetic approaches:
Create light-sensitive YNL320W variants
Control protein function with spatiotemporal precision
Study acute consequences of protein activation/inactivation
These approaches provide time-resolved information about YNL320W behavior that static methods cannot capture.
Based on the emerging understanding of ER-mitochondrial contact sites and their regulatory proteins:
Subcellular fractionation approach:
Proximity labeling at organelle contact sites:
Colocalization analysis:
Perform triple immunofluorescence with YNL320W antibody and organelle markers
Use super-resolution microscopy for precise localization
Quantify overlap at contact sites
Examine changes during stress conditions
Functional assays:
Measure mitochondrial morphology and function in YNL320W mutants
Assess calcium transfer between ER and mitochondria
Evaluate lipid transfer between organelles
Examine effects on mitochondrial fission/fusion
Consider that YNL320W might function similarly to proteins like ABHD16A or VPS13 family members that regulate ER-mitochondrial contacts .
To address potential cross-reactivity issues:
Comprehensive specificity testing:
Test antibody against yeast lysates from wildtype and YNL320W deletion strains
Examine reactivity in strains overexpressing YNL320W
Perform peptide competition assays with immunizing peptide
Test against recombinant proteins with similar sequences
Epitope analysis:
Map the specific epitope recognized by the antibody
Compare sequence homology with other yeast proteins
Consider generating epitope-specific monoclonal antibodies
Advanced purification strategies:
Perform double-affinity purification using tagged proteins
Use cross-adsorption against related proteins
Implement stringent washing conditions in immunoprecipitation
Validation in diverse contexts:
Compare signals in different strain backgrounds
Test in various experimental conditions
Validate results with orthogonal methods
If cross-reactivity persists, document the specific cross-reactive proteins and their molecular weights to distinguish from the true YNL320W signal.
For high-throughput applications with YNL320W antibody:
Automated Western blot analysis:
Use capillary-based systems (e.g., Jess, Wes)
Standardize lysate preparation and loading
Implement automated image analysis
Design for 96-well format compatibility
High-content imaging:
Optimize immunofluorescence in 96/384-well formats
Establish automated image acquisition parameters
Develop quantitative image analysis pipelines
Include controls on each plate for normalization
Flow cytometry-based screening:
Standardize fixation and permeabilization
Optimize antibody concentrations for high signal-to-noise
Gate on relevant cell populations
Include fluorescent viability markers
Reverse phase protein arrays:
Spot lysates on nitrocellulose-coated slides
Probe with YNL320W antibody
Implement signal amplification methods
Include standard curves for quantification
For all high-throughput approaches, implement robust statistical methods, include appropriate controls on each plate, and validate hits with secondary assays.
To differentiate functional states of the YNL320W protein:
Activity-based protein profiling:
Design activity-based probes if enzymatic function is known
Compare active site labeling across conditions
Combine with immunoprecipitation using YNL320W antibody
Conformational state analysis:
Apply limited proteolysis followed by Western blot
Use conformation-specific antibodies if available
Implement native gel electrophoresis
Consider hydrogen-deuterium exchange mass spectrometry
Post-translational modification mapping:
Immunoprecipitate using YNL320W antibody
Analyze PTMs by mass spectrometry
Develop modification-specific antibodies
Correlate modifications with protein function
Oligomerization state assessment:
Use blue native PAGE or size exclusion chromatography
Apply chemical crosslinking followed by Western blot
Implement fluorescence correlation spectroscopy if using tagged proteins
If YNL320W functions similarly to heme-binding proteins like Ccp1, consider monitoring changes in spectroscopic properties that might reflect different functional states (e.g., heme-bound vs. heme-free forms) .
Current research gaps and future directions include:
Methodological improvements:
Development of highly specific monoclonal antibodies
Creation of modification-specific antibodies (phospho, ubiquitin, etc.)
Standardization of protocols across laboratories
Implementation of quantitative standards for absolute quantification
Biological understanding:
Comprehensive characterization of YNL320W function in different cellular compartments
Elucidation of its role in stress responses and signaling pathways
Identification of regulatory mechanisms controlling its activity
Integration of YNL320W into broader cellular network models
Advanced applications:
Development of biosensors to monitor YNL320W activity in real-time
Application of spatial proteomics techniques to map precise subcellular localization
Integration with multi-omics approaches
Cross-species comparative analyses to identify conserved functions
Technical challenges to address:
Improving sensitivity for detecting low-abundance forms
Developing methods for single-cell analysis
Creating strategies for studying YNL320W in its native complex
Implementing cryo-electron microscopy for structural studies