YOL092W is hypothesized to function as a cationic amino acid exporter, regulating intracellular amino acid levels by exporting cationic amino acids (e.g., lysine, arginine) from the vacuole . This activity aligns with its classification as a transporter in the TCDB (2.A.43.2.3) and KEGG databases .
Deletion of YPQ1 in S. cerevisiae strains alters amino acid profiles, particularly reducing vacuolar amino acid storage. This suggests a role in amino acid homeostasis and compartmentalization .
YOL092W interacts with proteins involved in amino acid metabolism, including:
RTC2: A paralog with overlapping transporter functions.
Transporter proteins: Cross-referenced in KEGG pathways (e.g., lysine/arginine transport) .
| Parameter | Detail | Source |
|---|---|---|
| Expression System | E. coli (His-tagged fusion protein) | |
| Purity | >90% (SDS-PAGE confirmed) | |
| Storage | -20°C/-80°C; avoid freeze-thaw cycles | |
| Sequence Coverage | Full-length (1–308 aa) |
Tag: N-terminal His-tag for affinity purification.
Form: Lyophilized powder in Tris/PBS buffer with 6% trehalose.
Reconstitution: Recommended in deionized water (0.1–1.0 mg/mL) with optional glycerol stabilization .
The recombinant protein is used in:
KEGG: sce:YOL092W
STRING: 4932.YOL092W
YOL092W is an uncharacterized membrane protein in Saccharomyces cerevisiae (baker's yeast) that belongs to the PQ loop repeat protein family. Based on sequence analysis and functional studies, it appears to be involved in non-selective cation channel activity. The protein contains 308 amino acids and has a molecular structure consistent with membrane-spanning domains.
The protein is thought to be responsible for cation flux across membranes, specifically in relation to non-selective cation movement. Sequence comparisons with proteins in other living systems suggest that YOL092W and its homologs may be important for maintaining ion homeostasis in the cell .
The complete amino acid sequence of YOL092W is:
MQLVPLELNRSTLSGISGSISISCWIIVFVPQIYENFYRKSSDGLSLLFVVLWLAGDVFNLMGAVMQHLLSTMIILAAYYTVADIILLGQCLWYDNEEKPAVDPIHLSPANPINENVLHDVFNEQQPLLNSQGQPNRIDEEMAAPSSDGNAGDDNLREVNSRNLIKDIFIVSGVVFVGFISWYVTYCVNYTQPPPVEDPSLPVPELQINWMAQIFGYLSALLYLGSRIPQILLNFKRKSCEGIFLFFLFACLGNTTFIFSVIVISLDWKYLIMNASWLVGSIGTLFMDFVIFSQFFIYKRNKKFILN
Structurally, YOL092W is characterized as a membrane protein with multiple transmembrane domains. It contains the highly conserved PQ loop motif, which is important for its function. The protein's structure suggests it forms a channel or transporter in the membrane, consistent with its proposed role in cation movement.
Recombinant YOL092W protein can be obtained through:
Commercial sources that produce the protein in expression systems, typically supplied in a storage buffer containing Tris-based buffer with 50% glycerol optimized for protein stability .
In-house expression systems using yeast, bacterial, or insect cell expression vectors. For optimal expression of membrane proteins like YOL092W, researchers should consider:
Using expression tags that facilitate purification (His-tag, GST-tag)
Optimizing codon usage for the expression host
Employing detergents for membrane protein solubilization
Testing different induction conditions to maximize yield
When storing the recombinant protein, it should be kept at -20°C for regular use, or at -80°C for extended storage. Repeated freezing and thawing should be avoided, and working aliquots should be stored at 4°C for up to one week .
Several experimental systems can be employed to study YOL092W function:
Yeast knockout strains: Creating YOL092W deletion strains (∆YOL092W) to observe phenotypic changes related to cation tolerance, membrane potential, or growth under various ionic conditions.
Electrophysiological approaches: Patch-clamp techniques can be used to measure ion conductance in membranes expressing YOL092W.
Fluorescent ion indicators: These can be used to monitor changes in cation concentrations in wild-type versus knockout strains.
Heterologous expression systems: Expressing YOL092W in other organisms or cell types that lack endogenous non-selective cation channels.
Mutagenesis studies: Point mutations in conserved regions, particularly in the PQ loop motif, can help identify critical amino acids for function.
Strain comparisons have revealed differences in sensitivity to cations like methylammonium (MA+) between strains with different YOL092W alleles, suggesting this approach can be informative for functional characterization .
YOL092W likely functions as part of a complex network of proteins involved in cation homeostasis. Research approaches to study these interactions include:
Protein-protein interaction studies:
Co-immunoprecipitation experiments with tagged YOL092W
Yeast two-hybrid screening to identify interaction partners
Proximity labeling techniques (BioID, APEX) to identify proteins in close proximity to YOL092W in the native membrane environment
Genetic interaction studies:
Synthetic genetic array analysis to identify genes that interact functionally with YOL092W
Double knockout strains to identify compensatory mechanisms
Transcriptomic analysis:
RNA sequencing of wild-type versus YOL092W mutants to identify coordinated gene expression patterns
Comparison of expression patterns under different ionic stress conditions
While specific interaction partners for YOL092W have not been fully characterized, research into other yeast membrane proteins suggests that non-selective cation channels often interact with proteins involved in secretory pathways, vesicular trafficking, and osmoregulation.
YOL092W appears to be involved in non-selective cation flux, as indicated by differences in methylammonium (MA+) toxicity phenotypes observed between yeast strains with different YOL092W alleles.
Sequence analysis of YOL092W from different S. cerevisiae strains has revealed polymorphisms that may affect protein function. For example, a Q30H substitution in strain 26972c2 occurs within the highly conserved first PQ loop repeat region and may be responsible for differences in MA+ tolerance between strains .
Research approaches to study the relationship between sequence variation and function include:
Site-directed mutagenesis of conserved residues, particularly within the PQ loop motifs
Creation of chimeric proteins with related cation channels
Functional complementation experiments in different strain backgrounds
Electrophysiological characterization of wild-type and mutant channels
Researchers should focus on the conserved PQ loop regions, as mutations in these areas are likely to have the most significant impact on channel function and cation flux.
Given that YOL092W is a membrane protein with limited structural characterization, several structural biology approaches can be employed:
Cryo-electron microscopy (Cryo-EM):
Suitable for membrane proteins without requiring crystallization
Can resolve structures at near-atomic resolution
Sample preparation involves purification in detergent micelles or nanodiscs
X-ray crystallography:
Requires production of well-ordered protein crystals
For membrane proteins like YOL092W, lipidic cubic phase crystallization may be optimal
Typically requires large amounts of highly pure protein
Nuclear Magnetic Resonance (NMR) spectroscopy:
Suitable for studying dynamics and conformational changes
May be challenging for full-length YOL092W due to size limitations
Can focus on specific domains or regions of interest
Computational modeling:
Homology modeling based on related proteins with known structures
Molecular dynamics simulations to predict ion conduction pathways
Integration with experimental data for validation
For successful structural studies, researchers should optimize expression systems to produce sufficient quantities of properly folded protein, carefully select appropriate detergents or lipid environments, and consider using stabilizing mutations or antibody fragments to facilitate structure determination.
To study transcriptional changes associated with YOL092W expression, researchers can employ:
RNA sequencing (RNA-Seq):
Compare transcriptome profiles between wild-type and YOL092W-overexpressing strains
Analyze differential expression under various ionic stress conditions
Identify co-regulated gene networks
Real-time quantitative PCR (RT-qPCR):
Validate expression changes in selected genes
Monitor temporal changes in expression
Compare results with microarray or RNA-Seq data
Promoter-reporter fusion assays:
Use GFP or luciferase reporters to monitor YOL092W promoter activity
Test different environmental conditions and stressors
Based on studies of related membrane proteins in S. cerevisiae, expression of genes involved in ion homeostasis often correlates with changes in environmental conditions. For example, in xylose-metabolizing S. cerevisiae strains, genes encoding tricarboxylic acid cycle enzymes, respiratory proteins, and regulatory proteins (like HAP4 and MTH1) show significant expression changes under different carbon sources and oxygen conditions .
Similar approaches could identify transcriptional networks associated with YOL092W function, particularly under conditions that challenge cellular ion homeostasis.
For optimal expression and purification of recombinant YOL092W, researchers should consider:
Expression system selection:
Yeast expression systems (particularly S. cerevisiae) maintain native post-translational modifications
Pichia pastoris often yields higher protein quantities for membrane proteins
E. coli systems with specialized strains (like C41/C43) can be used with proper optimization
Insect cell/baculovirus systems balance yield and eukaryotic processing
Expression construct design:
Include affinity tags (His6, FLAG, etc.) for purification
Consider fusion partners to enhance solubility (MBP, SUMO, etc.)
Include protease cleavage sites to remove tags post-purification
Optimize codon usage for the chosen expression system
Membrane protein extraction:
Test various detergents (DDM, LMNG, digitonin) for optimal solubilization
Consider nanodiscs or styrene-maleic acid lipid particles (SMALPs) for native-like lipid environment
Use gentle extraction conditions to maintain protein folding and activity
Purification strategy:
Begin with affinity chromatography based on the chosen affinity tag
Follow with size exclusion chromatography to remove aggregates
Consider ion exchange chromatography for further purification
Verify protein quality by SDS-PAGE and Western blotting
Storage conditions:
Assessment of YOL092W ion channel activity can be performed using multiple complementary approaches:
In vitro electrophysiological methods:
Patch-clamp recordings of cells or reconstituted systems expressing YOL092W
Planar lipid bilayer recordings with purified and reconstituted protein
Liposome-based ion flux assays using fluorescent indicators
Solid-supported membrane electrophysiology for high-throughput screening
In vivo functional assays:
Growth phenotyping under different ionic conditions
Methylammonium (MA+) toxicity assays, which have previously revealed differences between strains with variation in YOL092W
Membrane potential measurements using voltage-sensitive dyes
Intracellular ion concentration measurements using specific fluorescent probes
Genetic approaches:
Complementation studies in strains lacking endogenous YOL092W
Dominant-negative mutant expression to disrupt channel function
Conditional expression systems to control timing of YOL092W expression
Biophysical characterization:
Isothermal titration calorimetry to measure ion binding affinities
Structural changes upon ion binding using fluorescence spectroscopy
Conformational dynamics using hydrogen-deuterium exchange mass spectrometry
Researchers should combine multiple approaches to build a comprehensive understanding of YOL092W ion channel properties, including ion selectivity, gating mechanisms, and regulatory factors.
Several genetic engineering strategies can be used to study YOL092W function:
Gene deletion and replacement:
CRISPR-Cas9 based knockout of YOL092W
Marker-based gene replacement techniques
Introduction of mutant alleles at the native locus using homologous recombination
Controlled expression systems:
Galactose-inducible promoters for controlled expression
Tetracycline-responsive elements for dose-dependent expression
Estradiol-inducible systems for tight regulation
Copper-inducible promoters like CUP1 for metal-dependent expression
Protein tagging strategies:
C-terminal or N-terminal fusion with fluorescent proteins for localization studies
Epitope tagging for immunodetection and purification
Split protein complementation for interaction studies
FRET-based biosensors to detect conformational changes
Strain engineering:
Genome-wide screens:
Synthetic genetic array analysis to identify genetic interactions
High-throughput phenotypic screening of YOL092W mutant libraries
Suppressor screens to identify compensatory mutations
Researchers should note that strain background can significantly affect phenotypes, as demonstrated by the differences in cation sensitivity between strains with different YOL092W alleles .
Research on YOL092W has potential implications for understanding fundamental aspects of membrane transport:
Conservation and evolution of cation transport mechanisms:
Membrane protein structural biology:
Structure determination of YOL092W could provide insights into general principles of ion channel architecture
Understanding of the PQ loop repeat structural motif and its role in channel function
Mechanisms of ion selectivity and gating in non-selective cation channels
Cellular ion homeostasis networks:
Integration of YOL092W into broader cellular signaling networks
Cross-talk between different ion transport systems
Coordination of ion transport with cellular metabolic state
Application to human disease models:
Human homologs of YOL092W might be implicated in channelopathies
Yeast as a model system for studying disease-associated mutations in conserved channels
Development of screening platforms for channel modulators with therapeutic potential
Research approaches should focus on integrating structural, functional, and systems-level analyses to place YOL092W within the broader context of eukaryotic membrane transport biology.
The relationship between YOL092W and cellular respiration presents an intriguing research direction:
Potential metabolic connections:
Non-selective cation channels can influence membrane potential, potentially affecting mitochondrial function
Ion gradients maintained by channels like YOL092W might impact respiratory chain activity
Cytosolic cation levels can affect enzyme activities throughout metabolism
Research approaches to investigate this relationship:
Comparative studies of YOL092W activity in respiratory-competent and respiratory-deficient (petite) mutants
Analysis of YOL092W expression under fermentative versus respiratory growth conditions
Measurement of respiratory parameters in YOL092W mutant strains
Relevance to carbon source utilization:
Studies on recombinant S. cerevisiae have shown that different carbon sources (like glucose versus xylose) induce different respiratory responses
Expression of genes encoding tricarboxylic acid cycle and respiration pathway enzymes increases during metabolism of non-fermentable carbon sources
YOL092W's role may vary depending on the metabolic state of the cell
Research in this area could benefit from approaches similar to those used to study respiratory responses in xylose-metabolizing S. cerevisiae, including transcriptome analysis under different growth conditions and characterization of respiration-deficient mutants .
Computational approaches offer powerful tools for studying membrane proteins like YOL092W:
Structural prediction and modeling:
AlphaFold2 and RoseTTAFold can predict 3D structures based on primary sequence
Molecular dynamics simulations to model protein behavior in membrane environments
Docking studies to predict ion binding sites and interaction partners
Homology modeling based on related proteins with known structures
Functional prediction:
Machine learning approaches to predict functional sites from sequence conservation
Network analysis to place YOL092W in broader cellular pathways
Simulation of ion conduction through predicted channel structures
Prediction of critical residues for channel function through evolutionary analysis
System-level modeling:
Integration of YOL092W into whole-cell models of S. cerevisiae
Flux balance analysis to predict metabolic impacts of YOL092W activity
Multi-scale modeling connecting molecular function to cellular phenotypes
Experimental design optimization:
In silico mutagenesis to prioritize variants for experimental testing
Virtual screening for potential channel modulators
Optimization of protein expression constructs based on predicted folding properties
Researchers should integrate computational predictions with experimental validation, using iterative approaches to refine models and generate new hypotheses about YOL092W function.
Researchers working with membrane proteins like YOL092W frequently encounter specific challenges:
Low expression yields:
Optimize codon usage for the expression host
Test different promoters and expression conditions
Consider fusion with well-expressed partner proteins
Use specialized strains designed for membrane protein expression
Implement fed-batch or continuous culture systems for higher biomass
Protein aggregation and misfolding:
Screen multiple detergents for optimal solubilization
Include stabilizing additives (glycerol, specific lipids)
Lower expression temperature to slow folding
Consider nanodiscs or other membrane mimetics for native-like environment
Test expression of truncated constructs or individual domains
Functional assay limitations:
Combine multiple complementary assay types for validation
Include positive and negative controls in all experiments
Optimize assay conditions (buffer composition, pH, temperature)
Consider background activity in the chosen experimental system
Develop robust normalization methods for comparative studies
Difficulties in structural characterization:
Try different membrane mimetics (detergents, nanodiscs, amphipols)
Engineer constructs with enhanced stability
Remove flexible regions that may hinder crystallization
Use conformation-specific antibodies or nanobodies to stabilize specific states
Consider cryo-EM as an alternative to crystallography
Genetic manipulation challenges:
By anticipating these challenges and implementing appropriate strategies, researchers can enhance the success rate of experiments involving YOL092W.
Distinguishing specific YOL092W-related phenotypes from general membrane disruption requires careful experimental design:
Control selection:
Include knockouts of other membrane proteins with different functions
Use point mutants that specifically disrupt YOL092W function rather than complete deletions
Compare multiple independently generated mutant strains
Include complementation controls (rescue experiments)
Specificity testing:
Analyze responses to specific ion challenges versus general membrane stressors
Perform dose-response experiments to identify threshold effects
Use membrane integrity assays to rule out general membrane damage
Test for off-target effects using transcriptomics or proteomics
Selective inhibition approaches:
Develop specific inhibitors or modulators of YOL092W
Use inducible degron systems for rapid protein depletion
Implement chemical-genetic approaches with engineered sensitivity
Temporal analysis:
Monitor phenotype development over time after YOL092W perturbation
Use systems with acute versus chronic disruption of function
Correlate phenotypes with measured protein levels or activity
Structure-function studies:
Create a panel of mutations affecting different aspects of protein function
Compare phenotypes across mutations to identify specific functional domains
Use chimeric proteins to map functional regions
These approaches collectively provide stronger evidence for YOL092W-specific effects versus general membrane perturbations.