KLLA0F03465g (UniProt ID: Q6CLF2) belongs to the PRM5 family and is localized to the vacuolar membrane in Kluyveromyces lactis. It is recombinantly produced in E. coli to enable large-scale purification and functional studies. Key specifications include:
Kluyveromyces lactis is a model organism for heterologous protein production due to its respiratory metabolism, high secretion efficiency, and compatibility with eukaryotic protein folding . While KLLA0F03465g is expressed in E. coli, its native host’s biotechnological advantages include:
Protein Secretion: K. lactis secretes recombinant proteins efficiently, a trait exploited in industrial applications .
Vaccine Development: Recombinant K. lactis has been engineered to express viral antigens (e.g., PRRSV GP5), demonstrating its potential in vaccine platforms .
Critical protocols for maintaining protein integrity:
KEGG: kla:KLLA0F03465g
KLLA0F03465g is a vacuolar membrane protein from Kluyveromyces lactis with 359 amino acid residues. The protein is characterized by:
UniProt accession number: Q6CLF2
Full amino acid sequence: MDLEYYEASAVVLEERALPALTTSTEETTAKQTSTNTDDDKTTSTSTSTSTGTSSKNTKL PSLTTKTTDGSTLTTSTGTSSTETASYTTPVMELPSAKGNPNIWSSNKPTGTVFIAVGSA AGFIFLALLVWFIINTWMSYSQAKQLKKFNNMEKQFQNPFIDDIDFSSGGGYYKADEDIS TYKDTPVPTKNGGNNSFTPYKRASHSMIRLLGGSTDDGFGGGTPSSIGNTNLGSMNPLER VDAIDAANTGVRKSLYISPTMEVMNQQRRSTLFNNLNQSAVSIDTPEMMEPTRTVSPERR TYKHEKSKSSLSKLVDSTIDLTASTTLDNQKRQGRSKGHNKSSSITPSVYLDNmLEDNS
The protein contains transmembrane domains, as indicated by the hydrophobic amino acid stretches, and is localized to the vacuolar membrane in K. lactis. Its function is likely related to vacuolar homeostasis, though specific mechanisms remain under investigation.
K. lactis offers several advantages as an expression system for membrane proteins like KLLA0F03465g:
GRAS (Generally Regarded As Safe) status, allowing for applications in biomedical research
Predominantly respiratory metabolism, unlike the fermentative S. cerevisiae
Efficient secretion of heterologous proteins with proper folding and post-translational modifications
Ability to grow on various carbon sources, including lactose and galactose
Less hyperglycosylation compared to S. cerevisiae, resulting in glycosylation patterns more similar to higher eukaryotes
The preference for K. lactis is particularly relevant for membrane proteins that require specific folding environments and post-translational modifications for proper function.
The experimental workflow for KLLA0F03465g expression requires special considerations due to its membrane-associated nature:
Vector selection: Use of K. lactis-specific vectors like pKLAC1 that contain:
Transformation protocol:
Selection and screening:
Induction conditions:
This workflow differs from standard protein expression by incorporating specialized steps for membrane protein targeting and stability maintenance.
The overexpression of K. lactis SOD1 (KlSOD1) has been demonstrated to significantly improve heterologous protein production. For membrane proteins like KLLA0F03465g, this approach can be particularly beneficial:
SOD1 reduces oxidative stress during protein expression, which is critical for maintaining membrane protein integrity
Recombinant strains with increased SOD1 activity show enhanced protein secretion and production
The mechanism involves neutralization of reactive oxygen species (ROS) that can damage nascent membrane proteins
Implementation protocol:
Clone KlSOD1 gene using specific primers (e.g., KlSOD1-for and KlSOD1-rev with appropriate restriction sites)
Co-transform with the KLLA0F03465g expression construct
Select transformants expressing both proteins
Verify increased SOD activity using biochemical assays
Compare KLLA0F03465g production levels between SOD1-overexpressing and control strains
Experimental data from similar approaches have shown up to 2-fold increase in heterologous protein production when SOD1 is overexpressed .
Optimizing KLLA0F03465g expression in bioreactor systems requires careful control of multiple parameters:
| Parameter | Recommended Range | Impact on KLLA0F03465g Expression |
|---|---|---|
| Temperature | 25-30°C | Lower temperatures (25°C) favor proper membrane protein folding |
| pH | 5.5-7.0 | Optimal pH 6.5 balances growth and protein stability |
| Dissolved oxygen | 20-40% | Maintain 30% for optimal balance between growth and oxidative stress |
| Carbon source | 2-4% galactose | Gradual feeding strategy minimizes metabolic burden |
| Culture duration | 24-72 hours | Monitor expression kinetics to determine optimal harvest time |
| Agitation | 200-600 rpm | Sufficient to prevent oxygen limitation but gentle enough to minimize shear stress |
For scale-up considerations:
Implement fed-batch strategies to maintain nutrient availability and minimize waste accumulation
Monitor expression levels throughout cultivation using Western blot with anti-His antibody (if His-tagged) or specific antibodies against KLLA0F03465g
Implement appropriate cooling systems to maintain optimal temperature during high-density cultivation
Consider supplementation with antioxidants (e.g., ascorbic acid) to minimize oxidative damage to membrane proteins
When encountering low expression levels of KLLA0F03465g, several experimental approaches can be implemented:
UPR modulation strategy:
Oxidative stress management:
Promoter and expression system optimization:
Copy number and integration site effects:
Purifying membrane proteins like KLLA0F03465g requires specialized approaches to maintain structural integrity:
Initial processing:
Membrane extraction:
Resuspend cell pellet in Tris-based buffer with protease inhibitors
Disrupt cells using glass beads or mechanical homogenization
Isolate membrane fraction through differential centrifugation
Solubilize membranes using gentle detergents (DDM, LMNG, or CHAPS)
Chromatography strategy:
Initial capture: Immobilized metal affinity chromatography (if His-tagged)
Intermediate purification: Ion exchange chromatography
Polishing: Size exclusion chromatography in detergent-containing buffer
Storage conditions:
The choice of detergent is critical—it must efficiently solubilize the protein while maintaining its native conformation. Performing pilot experiments with different detergent types and concentrations is strongly recommended.
A comprehensive characterization of KLLA0F03465g requires multiple analytical approaches:
Structural analysis:
Circular dichroism (CD) spectroscopy to assess secondary structure content
Size exclusion chromatography with multi-angle light scattering (SEC-MALS) to determine oligomeric state
Cryo-electron microscopy for detailed structural information
Limited proteolysis to identify flexible regions and stable domains
Functional characterization:
Reconstitution into liposomes or nanodiscs to assess membrane integration
Transport assays using fluorescent substrates to identify potential transport activity
Interaction studies with other vacuolar proteins using pull-down assays or surface plasmon resonance
Localization studies using fluorescent fusion proteins or immunofluorescence
Post-translational modification analysis:
Mass spectrometry to identify glycosylation sites and patterns
Western blotting with glycosylation-specific antibodies
Enzymatic deglycosylation to assess impact on protein stability and function
Stability assessment:
Differential scanning fluorimetry to determine thermal stability
Long-term storage stability under various conditions
Effect of pH, ionic strength, and detergent on protein stability
Verifying proper folding and membrane integration of KLLA0F03465g requires multiple complementary approaches:
Biochemical approaches:
Protease protection assays to determine membrane topology
Detergent solubility profiles compared to known membrane proteins
Sucrose gradient centrifugation to confirm membrane association
Chemical crosslinking to identify native protein-protein interactions
Biophysical techniques:
Fluorescence spectroscopy to monitor intrinsic tryptophan fluorescence as an indicator of folding
Hydrogen-deuterium exchange mass spectrometry to map solvent-accessible regions
Atomic force microscopy of membrane-reconstituted protein
Thermal shift assays in the presence of ligands or interacting partners
Functional verification:
Complementation assays in KLLA0F03465g knockout strains
Activity assays compared to native protein
Binding studies with known interaction partners
Response to stress conditions that typically involve vacuolar membrane proteins
Microscopy-based approaches:
Co-localization studies with known vacuolar membrane markers
FRET analysis with interacting partners
Super-resolution microscopy to visualize membrane distribution patterns
Electron microscopy with immunogold labeling
The most definitive approach combines functional readouts with structural verification, as proper function is the ultimate indicator of correct folding and membrane integration.
To investigate KLLA0F03465g's role in stress response pathways, a systematic experimental approach is required:
Comparative stress response profiling:
Generate KLLA0F03465g knockout, wild-type, and overexpression strains
Subject strains to various stressors:
Oxidative stress (H₂O₂, menadione)
Heat stress (37-48°C challenge)
Osmotic stress (high salt/sugar)
ER stress (tunicamycin, DTT)
Monitor growth curves, survival rates, and stress-specific markers
Molecular response characterization:
Experimental design considerations:
Include technical and biological replicates (minimum n=3)
Implement time-course analyses to capture dynamic responses
Use appropriate statistical analyses (ANOVA with post-hoc tests)
Control for growth phase effects by normalizing to culture density
Systems-level analysis:
Perform transcriptomic analysis to identify genes co-regulated with KLLA0F03465g under stress
Conduct proteomic studies of vacuolar membrane changes during stress
Map protein-protein interactions that change during stress response
Develop computational models of stress response pathways incorporating KLLA0F03465g function
When investigating the localization and trafficking of KLLA0F03465g, the following controls are essential:
Expression controls:
Empty vector control to establish baseline cellular behavior
Wild-type KLLA0F03465g expressed at native levels
Known vacuolar membrane protein control (e.g., V-ATPase subunit)
Cytosolic protein control to demonstrate specificity of membrane localization
Localization marker controls:
Co-localization with established vacuolar membrane markers
ER marker to assess retention or mislocalization
Golgi apparatus marker to track trafficking pathway
Plasma membrane marker to rule out mislocalization
Experimental treatment controls:
Vesicular trafficking inhibitors (e.g., Brefeldin A) to validate trafficking pathway
Temperature-sensitive trafficking mutants to identify key trafficking components
Vacuolar function inhibitors (e.g., bafilomycin) to assess functional relationships
Fixed vs. live cell imaging controls to rule out fixation artifacts
Technical controls:
Tag-only expression controls to account for tag-induced localization artifacts
Alternative tagging strategies (N-terminal vs. C-terminal) to confirm tag position doesn't disrupt localization
Titration of expression levels to avoid overexpression artifacts
Spectral controls for fluorescence imaging to account for bleed-through
To investigate the role of glycosylation on KLLA0F03465g function, implement the following experimental design:
Glycosylation site identification and mutation:
Glycosylation profile analysis:
Functional impact assessment:
Expression system considerations:
Express in wild-type K. lactis and glycosylation-deficient strains
Compare expression in K. lactis vs. S. cerevisiae to assess species-specific glycosylation effects
Evaluate the impact of growth conditions on glycosylation patterns
Test the effect of glycosylation inhibitors (e.g., tunicamycin) on protein function
Table 1: Comparison of expected glycosylation patterns in different expression systems
| Expression System | N-glycosylation | O-glycosylation | Advantages | Limitations |
|---|---|---|---|---|
| K. lactis wild-type | Complex, less hypermannosylation than S. cerevisiae | Moderate | Closer to native pattern | Some heterogeneity |
| K. lactis och1Δ (reduced hypermannosylation) | Shorter chains, less complex | Moderate | Reduced heterogeneity | May affect protein stability |
| S. cerevisiae | Hypermannosylation | Extensive | High expression levels | Potentially non-native pattern |
| Non-glycosylated mutant | None | None | Defined system for functional studies | May compromise stability |
When faced with contradictory data regarding KLLA0F03465g function, implement a systematic troubleshooting approach:
Experimental variables reassessment:
Compare growth conditions across experiments (media composition, pH, temperature)
Evaluate strain backgrounds for genetic differences
Assess expression levels and protein integrity in each experimental system
Verify tag positions and their potential impact on protein function
Multi-method validation approach:
Use complementary techniques to address the same question
For localization: combine fluorescence microscopy, subcellular fractionation, and proteomic analysis
For function: combine genetic, biochemical, and physiological approaches
Implement both gain-of-function and loss-of-function experimental designs
Strain-specific effects investigation:
Test function in multiple K. lactis strains (e.g., ATCC 8585, CBS 2359, NBRC 1267)
Compare results between K. lactis and other yeast models like S. cerevisiae
Create chimeric proteins with homologous domains from related species
Analyze protein sequence variations that might explain functional differences
Context-dependent function analysis:
When encountering difficulties with KLLA0F03465g isolation and purification, consider these advanced troubleshooting strategies:
Solubilization optimization:
Test a matrix of detergents at different concentrations:
Mild detergents: DDM, LMNG, CHAPS
Harsh detergents: SDS, Triton X-100
Novel amphipols or nanodiscs for enhanced stability
Optimize detergent:protein ratio through small-scale trials
Implement detergent exchange during purification to improve stability
Consider detergent-free extraction using styrene-maleic acid copolymer (SMA)
Buffer optimization strategy:
Systematic screening of:
pH range (5.0-8.0)
Salt concentration (0-500 mM)
Glycerol percentage (0-30%)
Stabilizing additives (lipids, specific ions, osmolytes)
Use thermal shift assays to rapidly identify stabilizing conditions
Implement factorial design experiments to identify interaction effects between buffer components
Chromatography approach refinement:
If non-specific binding occurs: Increase salt concentration or add low concentrations of detergent to running buffers
If protein aggregates: Add glycerol or reduce protein concentration
If co-purifying contaminants persist: Implement orthogonal purification steps
If yield is low: Optimize elution conditions or consider on-column refolding
Alternative purification strategies:
Consider native purification from K. lactis membranes without recombinant expression
Test different affinity tags (His, FLAG, Strep) at different positions
Implement split-tag approaches for improved purity
Explore extraction directly from vacuolar membranes via subcellular fractionation
Computational methods can significantly enhance experimental investigations of KLLA0F03465g:
Structural prediction and analysis:
Generate 3D structural models using AlphaFold2 or RoseTTAFold
Identify conserved domains and functional motifs
Predict membrane topology and transmembrane regions
Perform molecular dynamics simulations to study protein behavior in membranes
Analyze surface properties to predict potential interaction sites
Functional network analysis:
Construct protein-protein interaction networks from experimental data
Identify functional modules through network clustering algorithms
Predict additional interaction partners based on network properties
Integrate transcriptomic data to identify co-expressed genes
Map KLLA0F03465g onto known cellular pathways
Comparative genomics approach:
Machine learning applications:
Predict post-translational modifications and their functional impacts
Identify regulatory motifs in the promoter region
Classify KLLA0F03465g within membrane protein families
Predict subcellular localization with multiple algorithms for consensus
Model protein-lipid interactions in the vacuolar membrane
Integration of computational and experimental approaches provides a more comprehensive understanding of KLLA0F03465g function and can guide the design of targeted experiments to test specific hypotheses.
KLLA0F03465g offers unique opportunities as a model for studying membrane protein evolution:
Evolutionary trajectory analysis:
Structure-function relationship across species:
Adaptation to different cellular environments:
Experimental approaches:
Develop high-throughput mutagenesis to identify functionally critical residues
Apply ancestral protein reconstruction to test evolutionary hypotheses
Implement deep mutational scanning to map sequence-function relationships
Use directed evolution to identify potential alternative functional states
This research direction provides insights not only into KLLA0F03465g specifically but also into broader principles of membrane protein evolution and adaptation.
KLLA0F03465g can serve as a valuable tool for investigating vacuolar membrane dynamics under stress conditions:
Stress-induced remodeling studies:
Monitor KLLA0F03465g localization, abundance, and modification under:
Oxidative stress (H₂O₂, menadione)
Nutrient limitation (nitrogen, carbon, phosphate)
pH stress (acidic and alkaline conditions)
Heavy metal exposure
Track changes in protein-protein interactions during stress adaptation
Analyze post-translational modifications induced by different stressors
Membrane dynamics visualization:
Use fluorescently tagged KLLA0F03465g to monitor vacuolar membrane changes in real-time
Implement super-resolution microscopy to visualize nanoscale membrane domains
Apply FRAP (Fluorescence Recovery After Photobleaching) to measure protein mobility
Track vacuolar fusion/fission events in response to stress conditions
Mechanistic investigations:
Experimental tools development:
Create biosensors based on KLLA0F03465g to monitor vacuolar membrane properties
Develop inducible expression/degradation systems to study acute protein function
Design split-protein complementation assays to monitor stress-induced interactions
Implement optogenetic tools to manipulate KLLA0F03465g function with spatial and temporal precision
Research on KLLA0F03465g has potential implications for several biotechnological applications:
Improved recombinant protein production platforms:
Understanding membrane protein folding and trafficking can enhance expression of challenging membrane proteins
Knowledge of stress responses during recombinant protein expression can inform process optimization
Insights into vacuolar function during heterologous protein production can guide strain engineering
Development of novel helper genes based on KLLA0F03465g interacting partners
Bioprocess engineering applications:
Design of stress-resistant K. lactis strains for industrial applications
Engineering vacuolar functions for improved cellular performance under fermentation conditions
Development of biosensors for monitoring cellular stress in bioreactors
Creation of specialized strains for production of membrane-associated products
Platform development for membrane protein studies:
Establishing K. lactis as a model system for producing mammalian membrane proteins
Developing standardized protocols for membrane protein purification and characterization
Creating libraries of membrane protein variants for structure-function studies
Engineering synthetic membrane systems incorporating KLLA0F03465g domains
Therapeutic protein production:
Applying knowledge of K. lactis membrane protein expression to therapeutic protein production
Developing glycoengineered strains with optimized glycosylation properties
Creating expression systems for vaccine antigens, including membrane-associated components
Engineering specialized secretion pathways for difficult-to-express proteins
By bridging fundamental research on vacuolar membrane proteins with applied biotechnology, KLLA0F03465g studies can contribute to both scientific understanding and practical applications.
Several cutting-edge technologies show particular promise for advancing KLLA0F03465g research:
Advanced imaging techniques:
Cryo-electron tomography for in situ structural analysis in native membranes
Single-particle tracking to follow individual protein molecules in live cells
Expansion microscopy for enhanced resolution of membrane protein complexes
Correlative light and electron microscopy (CLEM) to combine functional and structural imaging
Proximity labeling approaches:
BioID or TurboID fusion proteins to identify proximal interacting partners
Split-BioID for studying conditional interactions
APEX2-based proximity labeling for temporal control
Application of proximity proteomics under various stress conditions
Structural biology innovations:
Integrative structural biology combining cryo-EM, crosslinking-MS, and computational modeling
Hydrogen-deuterium exchange mass spectrometry for dynamics studies
Solid-state NMR for membrane protein structure determination
Native mass spectrometry of membrane protein complexes
Genome engineering tools:
CRISPR-Cas9 base editing for precise sequence modifications without selection markers
CRISPRi/CRISPRa for controlled gene expression modulation
Multiplexed genome editing to study genetic interactions
Barcoded strain libraries for high-throughput phenotyping
These emerging techniques will enable researchers to address previously intractable questions about KLLA0F03465g function, dynamics, and interactions.
Despite progress in understanding KLLA0F03465g, several fundamental questions remain unanswered:
Functional mechanisms:
Does KLLA0F03465g function as a transporter, channel, or structural component?
What are its native substrates or binding partners?
How is its activity regulated in response to cellular needs?
What is the significance of its unique sequence features compared to other vacuolar membrane proteins?
Regulatory control:
How is KLLA0F03465g expression regulated at transcriptional and post-transcriptional levels?
What signaling pathways control its localization and activity?
How do post-translational modifications affect its function?
What is the protein's turnover rate and how is it targeted for degradation?
Evolutionary aspects:
Why is this protein conserved in Kluyveromyces but potentially divergent in other yeasts?
What selective pressures have shaped its evolution?
How has its function adapted to different yeast lifestyles (respiratory vs. fermentative)?
What can we learn from natural variants about functional constraints?
Biotechnological potential:
Can KLLA0F03465g be engineered as a biosensor for specific cellular conditions?
Might it serve as a scaffold for designing novel membrane proteins?
Could it be exploited to enhance heterologous protein production?
What are its advantages or disadvantages as a model membrane protein?
Addressing these questions will require interdisciplinary approaches combining genetics, biochemistry, structural biology, and systems biology.
Integrative research strategies can provide comprehensive insights into KLLA0F03465g function:
Multi-omics integration:
Combine transcriptomics, proteomics, metabolomics, and lipidomics data
Correlate KLLA0F03465g expression/modification with global cellular states
Map effects of KLLA0F03465g perturbation on multiple cellular systems
Develop computational frameworks to integrate diverse data types
Cross-disciplinary experimental design:
Coordinate genetic, biochemical, and physiological studies
Align in vitro and in vivo experimental approaches
Bridge structural studies with functional analyses
Connect single-cell observations with population-level phenomena
Systems biology framework:
Develop mathematical models of vacuolar membrane function incorporating KLLA0F03465g
Simulate protein behavior under various conditions
Predict system-level responses to perturbations
Validate models with targeted experimental data
Collaborative research initiatives:
Establish standardized protocols for KLLA0F03465g studies
Create shared resources such as antibodies, strains, and plasmids
Develop common data repositories for experimental results
Form multidisciplinary teams addressing complementary aspects of KLLA0F03465g biology