The YKL075C antibody targets the protein product of the YKL075C gene in Saccharomyces cerevisiae, recently designated AAN1 (Actin, Aging, and Nutrient modulator protein 1) . This antibody is critical for studying the protein’s role in actin cytoskeleton regulation, mitochondrial function, and replicative lifespan. Research highlights its utility in detecting YKL075C in fluorescence imaging and immunoprecipitation assays, particularly in investigations linking branched-chain amino acid (BCAA) metabolism to cellular aging .
Deletion of YKL075C increases actin cable stability and abundance by 40–60%, reduces sensitivity to actin-depolymerizing agents like Latrunculin-A (Lat-A), and extends yeast replicative lifespan by 15–20% . These effects are linked to enhanced mitochondrial quality control and retrograde transport .
| Phenotype | Observation in ykl075c∆ | Source |
|---|---|---|
| Actin Cable Stability | ↑ 40–60% | |
| Lat-A Sensitivity | ↓ 30–50% | |
| Replicative Lifespan | ↑ 15–20% |
Transcriptomic analysis reveals that YKL075C deletion downregulates BCAA biosynthetic genes (e.g., BAT1) and upregulates catabolic genes (e.g., BAT2), shifting cellular metabolism toward BCAA degradation . This modulation lowers intracellular leucine levels, which promotes actin cable stability and mitochondrial fitness.
YKL075C antibodies have been instrumental in:
Localization Studies: Myc-tagged YKL075C enabled weak but specific detection of the protein, confirming its cytoplasmic localization .
Functional Complementation: Ectopic expression of YKL075C restored wild-type actin cable abundance in deletion strains .
Interaction Mapping: BioGRID data identify 165 genetic/physical interactions, including actin-related proteins (ACT1, ARP2) and nutrient sensors (TOR1, SCH9) .
YKL075C participates in a network involving:
| Interaction Type | Example Genes | Functional Link |
|---|---|---|
| Genetic | ACT1, ARP2 | Actin cytoskeleton dynamics |
| Physical | TOR1, SCH9 | Nutrient sensing |
While YKL075C is yeast-specific, its homologs in higher eukaryotes may offer insights into:
Aging Interventions: Modulating actin stability via BCAA metabolism.
Mitochondrial Diseases: Enhancing organelle quality control pathways.
Cancer Therapeutics: Targeting nutrient-sensing pathways analogous to TORC1 .
Current research gaps include structural characterization of the YKL075C protein and development of high-affinity monoclonal antibodies for advanced mechanistic studies .
YKL075C (AAN1) is a previously uncharacterized yeast open reading frame that has been identified as a significant modulator of actin cable stability, mitochondrial function, and replicative lifespan in Saccharomyces cerevisiae. Research has demonstrated that deletion of YKL075C results in increased actin cable stability and abundance, improved mitochondrial fitness, and extended replicative lifespan .
Antibodies against YKL075C are valuable research tools because:
They allow detection and localization of this low-abundance protein in cell biology studies
They enable investigation of YKL075C's role in branched-chain amino acid (BCAA) metabolism
They facilitate studies on cytoskeletal dynamics, as YKL075C interacts with ACT1 (the yeast actin gene)
They support research on aging mechanisms, given the protein's impact on replicative lifespan
When designing antibodies against YKL075C, researchers should consider that the protein lacks obvious functional domains and has no known sequence similarity to other characterized proteins .
Validating antibody specificity for YKL075C requires several complementary approaches:
Genetic validation:
Compare antibody signal between wild-type and YKL075C deletion (ykl075c∆) strains
Confirm loss of signal in knockout cells and restoration when the gene is reintroduced
Western blot verification:
Detect a band of the expected molecular weight (~26 kDa)
Include tagged versions (e.g., Myc-tagged YKL075C) as positive controls
Epitope mapping:
Since YKL075C overlaps with another open reading frame (YKL076C), design epitopes that avoid cross-reactivity
Verify that antibody recognizes recombinant YKL075C protein
Cross-reactivity assessment:
Test against closely related proteins to ensure specificity
Include appropriate blocking controls to minimize background
Remember that validation should account for YKL075C's naturally low abundance in yeast cells, as documented in previous studies .
Because YKL075C protein (Ykl075cp) is not abundantly expressed in yeast cells , researchers should consider these optimized detection strategies:
Immunoblotting optimization:
Use enhanced chemiluminescence (ECL) with high sensitivity substrates
Increase protein loading (50-100 μg total protein)
Extended exposure times may be necessary
Consider concentration techniques like immunoprecipitation before detection
Immunofluorescence enhancements:
Signal amplification systems (tyramide signal amplification)
Confocal microscopy with sensitive photomultiplier tubes
Consider epitope tagging strategies (multiple Myc tags as demonstrated in previous studies)
Protein enrichment approaches:
Subcellular fractionation to concentrate the compartment where YKL075C localizes
Affinity purification with optimized elution conditions
Consider tag-based purification as researchers have successfully used 13 copies of the Myc epitope to detect YKL075C
Controls and standards:
Include positive controls (e.g., overexpressed YKL075C)
Use loading controls specific to the cellular compartment being analyzed
Interpreting YKL075C antibody signals requires understanding its relationship with ACT1 (the actin gene in yeast) and considering several factors:
Co-localization analysis:
YKL075C has a genetic interaction with ACT1, suggesting functional relationships
Evaluate whether YKL075C antibody signals co-localize with actin structures
Quantify correlation coefficients between YKL075C and actin signals across different cellular regions
Functional context interpretation:
ACT1 is involved in numerous cellular processes including DNA repair, actomyosin ring contraction, endocytosis, and cell polarity
YKL075C deletion affects actin cable stability but not retrograde actin cable flow
When interpreting co-localization, consider which ACT1 functions might be relevant
Genetic interaction scoring:
The YKL075C-ACT1 interaction has a negative genetic interaction score (-0.1959)
This negative score suggests that simultaneous disruption of both genes results in a more severe phenotype than expected
Antibody signals should be interpreted with this synthetic interaction in mind
Quantitative considerations:
Use appropriate controls when quantifying antibody signals
Normalize signals using standard housekeeping proteins
Consider the dynamic nature of actin structures when interpreting static images
For optimal detection of YKL075C by immunofluorescence, researchers should consider these specialized conditions:
Fixation protocols:
Brief formaldehyde fixation (3-4% for 15-20 minutes) preserves cytoskeleton integrity
Avoid methanol fixation as it can disrupt cytoskeletal structures
For dual labeling with actin, use fixation conditions compatible with phalloidin staining
Permeabilization considerations:
Gentle permeabilization with low concentrations of Triton X-100 (0.1-0.2%)
For actin studies, digitonin (25 μg/ml) may provide more controlled permeabilization
Enzymatic cell wall digestion with zymolyase may improve antibody access
Buffer composition:
Use phosphate buffers with pH 6.5-7.0 to maintain yeast cell morphology
Include protease inhibitors to prevent degradation of low-abundance targets
Consider adding RNase to reduce background fluorescence
Cell cycle synchronization:
Since actin structures change throughout the cell cycle, synchronize cells before fixation
Use hydroxyurea or alpha-factor arrest methods depending on the cell cycle phase of interest
Document the cell cycle stage when reporting YKL075C localization patterns
Image acquisition parameters:
Use deconvolution to improve signal-to-noise ratio
Z-stack imaging with appropriate step sizes (0.2-0.3 μm)
Optimize exposure times to capture low-abundance signals without bleaching
YKL075C has been implicated in branched-chain amino acid (BCAA) metabolism through transcriptome analysis . Researchers can use YKL075C antibodies to investigate this role through these specialized approaches:
Co-immunoprecipitation studies:
Use YKL075C antibodies to pull down protein complexes
Analyze for the presence of BCAA metabolism enzymes (particularly BAT1 and BAT2)
Compare protein interactions under different BCAA availability conditions
Subcellular localization analysis:
Determine if YKL075C localization changes in response to BCAA levels
Dual staining with mitochondrial markers (where BAT1 localizes)
Quantify co-localization coefficients under different nutritional states
Metabolic enzyme activity assays:
Immunodeplete YKL075C and measure BAT1/BAT2 activity in vitro
Compare enzyme kinetics with and without YKL075C
Assess whether direct interaction or indirect regulation occurs
Proximity labeling approaches:
Combine YKL075C antibodies with BioID or APEX2 proximity labeling
Identify proteins in close proximity to YKL075C under different metabolic conditions
Validate interactions with BCAA metabolic enzymes
Experimental design considerations:
Include BCAA level measurements as demonstrated in previous studies
Compare wild-type, ykl075c∆, bat1∆, and ykl075c∆bat1∆ strains
Design experiments that can distinguish between transcriptional and post-transcriptional effects
Given YKL075C's influence on mitochondrial fitness and replicative lifespan , these specialized antibody-based approaches can provide valuable insights:
Chronological aging studies:
Track YKL075C protein levels across different chronological ages
Compare localization patterns between young and aged cells
Correlate with mitochondrial morphology changes during aging
Replicative lifespan analysis:
Use immunofluorescence to monitor YKL075C in mother cells across divisions
Combine with age-related markers (e.g., Sir2) to correlate expression patterns
Quantify relative abundance in young versus aged mother cells
Mitochondrial quality control assessment:
Dual immunolabeling with mitochondrial markers
Assess YKL075C localization during mitophagy
Track protein levels during mitochondrial stress responses
Proteomic approaches:
Immunoprecipitate YKL075C from young versus aged cells
Compare interacting partners using mass spectrometry
Identify age-dependent binding partners
Methodological details:
When studying aged cells, use magnetic bead-based separation techniques to isolate old mother cells
For mitochondrial studies, include functional assays (membrane potential, ROS production)
Correlate antibody-based findings with known mitochondrial aging markers
When designing antibodies targeting specific YKL075C epitopes, researchers should consider these specialized aspects:
Avoiding gene overlap regions:
Epitopes from the overlapping region may cause cross-reactivity
Focus on unique N-terminal regions of YKL075C
Structural considerations:
Despite lacking obvious functional domains , certain regions may be more exposed
Predict surface-accessible regions using structural modeling tools
Consider hydrophilicity plots to identify likely exposed regions
Functional region targeting:
Design epitopes that may capture regions involved in BCAA regulation
Consider regions potentially involved in actin interactions
Develop multiple antibodies targeting different functional domains
Application-specific design:
For immunoprecipitation: target stable, accessible epitopes
For proximity labeling: ensure the antibody binding doesn't disrupt normal interactions
For super-resolution microscopy: consider spatial constraints of the technique
Advanced epitope selection approaches:
Phage display technology can help select optimal epitopes for antibody development
Consider synthetic peptide arrays to identify immunogenic regions
Validate epitope accessibility in native versus denatured states
For successful co-immunoprecipitation (co-IP) of YKL075C with its interaction partners, consider these specialized protocol optimizations:
Lysis buffer composition:
Use gentle, non-ionic detergents (0.1-0.5% NP-40 or Triton X-100)
Include cytoskeleton stabilization buffers for actin interaction studies
Adjust salt concentration (100-150 mM NaCl) to maintain weak interactions
Add protease and phosphatase inhibitors to preserve interaction states
Cross-linking considerations:
For transient interactions, consider reversible cross-linkers (DSP, 0.5-2 mM)
Optimize cross-linking time (5-30 minutes) to capture authentic interactions
Include non-cross-linked controls to assess background
Antibody coupling strategies:
Direct coupling to beads may reduce background (NHS-activated magnetic beads)
For low-abundance targets, use larger volumes of cellular lysate
Consider tag-based pulldown as an alternative, as previous studies used Myc-tagged YKL075C
Washing conditions:
Optimize wash buffer stringency (detergent and salt concentration)
Include graduated washes with decreasing stringency
For actin interactions, consider specialized actin co-IP buffers with ATP
Elution and detection:
Use mild elution conditions to preserve complex integrity
For mass spectrometry analysis, consider on-bead digestion
For Western blot verification, include size markers for both YKL075C and ACT1
Controls and validation:
Include input, unbound, and elution fractions in analysis
Verify interactions with reciprocal co-IPs when possible
Advanced microscopy approaches can overcome the challenges of detecting low-abundance YKL075C and studying its relationship with actin dynamics:
Super-resolution microscopy:
STORM or PALM imaging for nanoscale localization
Structured illumination microscopy (SIM) for improved resolution of actin structures
Stimulated emission depletion (STED) microscopy for detailed cytoskeletal imaging
Live-cell imaging approaches:
FRAP (Fluorescence Recovery After Photobleaching) to study YKL075C dynamics
Single-molecule tracking with photoswitchable fluorophores
Combine with fluorescently labeled actin to track co-dynamics
Correlative microscopy techniques:
CLEM (Correlative Light and Electron Microscopy) to correlate antibody signals with ultrastructure
Expansion microscopy to physically enlarge samples for improved resolution
Array tomography for 3D reconstruction of YKL075C localization
Proximity detection methods:
FRET (Förster Resonance Energy Transfer) to study molecular interactions
BiFC (Bimolecular Fluorescence Complementation) for direct interaction visualization
Proximity ligation assay (PLA) to detect proteins within 40 nm of each other
Optimization considerations:
For dual-color imaging, correct for chromatic aberration
Use quantum dots or other photostable fluorophores for extended imaging
Consider microfluidic systems for controlled perturbation experiments
Quantitative analysis approaches:
Particle tracking for dynamic analysis
Colocalization analysis with appropriate statistical metrics
Machine learning-based segmentation and classification
YKL075C deletion strains show reduced sensitivity to Latrunculin A (Lat-A), suggesting a role in actin stability . Researchers can exploit this relationship using these approaches:
Drug sensitivity assays:
Compare YKL075C localization before and after Lat-A treatment
Track protein levels during actin depolymerization and recovery
Determine if YKL075C phosphorylation state changes with actin perturbation
Mechanistic investigations:
Use YKL075C antibodies to assess protein interactions under different drug treatments
Compare wild-type versus mutant responses to cytoskeletal perturbations
Investigate whether YKL075C directly or indirectly affects actin stability
Combined perturbation approaches:
Manipulate BCAA levels while treating with actin-modulating drugs
Assess YKL075C localization during combined treatments
Determine if YKL075C acts as a sensor connecting BCAA metabolism to cytoskeletal dynamics
Experimental design details:
For Lat-A experiments, use low concentrations as in previous studies (50-200 nM)
Include time-course studies to track dynamic responses
Compare effects of different actin-modulating drugs (Latrunculin A, Cytochalasin D, Jasplakinolide)
Controls and validation:
Include both wild-type and ykl075c∆ strains in all experiments
Verify actin structure changes using standard markers
Consider complementation experiments with plasmid-expressed YKL075C
Determining whether YKL075C directly or indirectly affects actin cable stability requires sophisticated experimental designs:
In vitro reconstitution assays:
Purify YKL075C (or domains) using antibody-based affinity columns
Test direct effects on actin polymerization in cell-free systems
Measure effects on actin filament nucleation, elongation, and depolymerization rates
Domain-specific antibodies:
Generate antibodies against different YKL075C domains
Use domain-specific antibodies to block potential interaction surfaces
Determine which domains are essential for actin-related functions
Proximity analysis methods:
BioID or APEX2 proximity labeling to identify proteins near YKL075C
Chemical cross-linking followed by mass spectrometry (XL-MS)
Fluorescence correlation spectroscopy to detect direct binding
Genetic interaction mapping:
Expand on the known YKL075C-ACT1 negative genetic interaction
Create a comprehensive genetic interaction network around YKL075C
Use antibodies to validate protein-level consequences of genetic interactions
Metabolic coupling tests: