| Feature | C. glabrata LOS1 (Inferred) | S. cerevisiae Los1p (Confirmed) |
|---|---|---|
| Gene Function | tRNA export regulation | tRNA export regulation |
| Protein Homology | ~19% sequence identity to Exportin-T | Direct homolog of Exportin-T (human) |
| Key Domains | Ran-GTP binding motif, tRNA-binding regions | Ran-GTP binding motif, tRNA-binding regions |
| Localization | Nuclear pore complex (predicted) | Nuclear pore complex confirmed |
Key Insight: LOS1 in C. glabrata is predicted to share structural and functional similarities with S. cerevisiae Los1p, including cooperative binding with Ran-GTP and mature tRNAs .
Exportin-T (LOS1) facilitates tRNA export through:
Ran-GTP Binding: Forms a ternary complex with Ran-GTP and mature tRNA.
tRNA Recognition: Binds conserved structural motifs (e.g., TΨC arm, acceptor stem) in tRNA .
Nuclear Pore Translocation: Shuttles tRNAs from the nucleus to the cytoplasm .
Loss-of-Function Mutants: los1Δ strains in S. cerevisiae accumulate unspliced pre-tRNAs in the nucleus, indicating a coupling between splicing and export . This suggests LOS1 in C. glabrata may similarly regulate pre-tRNA trafficking.
Partial Recombinant Proteins: Truncated versions are likely used to study specific tRNA-binding domains or Ran-GTP interaction sites.
| Species | Ortholog Name | Key Function |
|---|---|---|
| Homo sapiens | Exportin-T (Xpo-t) | tRNA export, Ran-GTP-dependent |
| Saccharomyces cerevisiae | Los1p | tRNA export, interacts with nucleoporins |
| Candida glabrata | LOS1 (predicted) | tRNA export (inferred from homology) |
Species-Specific Functions: Does C. glabrata LOS1 exhibit unique regulatory roles (e.g., stress response, antifungal resistance)?
Partial Recombinant Constructs: How do truncated LOS1 proteins affect tRNA export efficiency or specificity?
Therapeutic Potential: Could LOS1 inhibition enhance azole antifungal efficacy in C. glabrata?
KEGG: cgr:CAGL0K00473g
STRING: 284593.XP_448245.1
Exportin-T (LOS1) in C. glabrata functions as a nuclear export receptor specific for tRNAs, facilitating their transport from the nucleus to the cytoplasm. Similar to its Saccharomyces cerevisiae homolog, C. glabrata LOS1 likely binds cooperatively with GTP-loaded Ran to form a complex with tRNA molecules . This transport mechanism is crucial for proper cellular function as it ensures mature tRNAs are available in the cytoplasm for protein synthesis. Unlike many other transport pathways, LOS1-mediated transport appears to be selective for tRNA molecules, distinguishing it from other nucleocytoplasmic transport systems .
The optimal expression system depends on experimental goals:
| Expression System | Advantages | Limitations | Applications |
|---|---|---|---|
| E. coli | High yield, cost-effective, rapid | Potential improper folding, lack of post-translational modifications | Structural studies, antibody production |
| Yeast (S. cerevisiae) | Native-like folding, appropriate modifications | Lower yield than bacterial systems | Functional studies, protein-protein interactions |
| Baculovirus | High-level expression of complex proteins, eukaryotic modifications | Time-consuming, technically demanding | High-quality protein for enzymatic assays |
| Mammalian cells | Most authentic post-translational modifications | Lowest yield, highest cost | Studies requiring native conformation |
For functional studies, expression in S. cerevisiae often provides the best balance of yield and proper protein folding, particularly when studying protein-protein interactions with nuclear pore components .
A multi-step purification approach typically yields the best results:
Initial capture using affinity chromatography (His-tag or GST-tag)
Intermediate purification via ion exchange chromatography
Final polishing step using size exclusion chromatography
Maintaining protein stability requires specific buffer conditions:
Including protease inhibitors throughout purification
Avoiding multiple freeze-thaw cycles
Maintaining temperature at 4°C during purification steps
Activity can be preserved by storing the purified protein in smaller aliquots with glycerol at -80°C .
Several complementary approaches provide comprehensive assessment:
Fluorescence in situ hybridization (FISH):
Design probes specific to tRNA species of interest
Fix cells under conditions that preserve nuclear architecture
Hybridize with fluorescent probes
Analyze nuclear vs. cytoplasmic distribution of tRNAs using confocal microscopy
This method has been successfully adapted for yeast cells to locate endogenous levels of individual tRNA families
Cell fractionation and tRNA quantification:
Separate nuclear and cytoplasmic fractions
Extract RNA from each fraction
Quantify specific tRNAs using Northern blotting or RT-qPCR
Calculate nuclear:cytoplasmic ratios
Genetic complementation experiments:
Protein-RNA interaction assays:
Use RNA electrophoretic mobility shift assays (EMSAs)
Perform RNA immunoprecipitation (RIP)
Apply UV crosslinking approaches to assess direct binding
A multi-tiered approach is recommended:
Ran-GTP binding assay:
tRNA binding studies:
Use purified tRNAs (either total or specific species)
Measure binding affinity using fluorescence anisotropy or surface plasmon resonance
Compare binding parameters with established values for other Exportin-T proteins
In vitro nuclear export reconstitution:
Using permeabilized cell systems with fluorescently labeled tRNAs
Active LOS1 should facilitate export in the presence of Ran and GTP
Monitor the process using fluorescence microscopy
Thermal shift assays:
To assess protein stability and proper folding
Compare thermal denaturation profiles with and without binding partners
While not directly implicated in drug resistance, LOS1-mediated tRNA export may indirectly influence resistance mechanisms:
Protein synthesis capacity: Resistance often requires upregulation of drug efflux pumps like Cdr1 . Efficient tRNA export supports robust protein synthesis necessary for these adaptive responses.
Stress response integration: Drug exposure creates cellular stress that requires coordinated nuclear-cytoplasmic communication, where LOS1 could play a role.
Regulatory networks: The Pdr1 transcription factor and Upc2A networks regulate fluconazole resistance in C. glabrata . Nuclear export pathways may intersect with these regulatory circuits.
Potential experimental approaches:
Examine LOS1 expression levels in azole-resistant clinical isolates
Test whether LOS1 overexpression or deletion affects minimum inhibitory concentrations
Investigate genetic interactions between LOS1 and known resistance genes
Analyze tRNA export efficiency in drug-resistant vs. sensitive strains
Understanding these differences requires systematic comparative analyses:
Sequence divergence analysis:
C. glabrata is phylogenetically closer to S. cerevisiae than to C. albicans
Comparative sequence analysis suggests functional conservation of core domains with species-specific variations in regulatory regions
These divergences may reflect adaptation to different ecological niches
Functional conservation studies:
Expression pattern differences:
C. glabrata shows distinct patterns of gene expression compared to other Candida species
Regulation of LOS1 expression in response to environmental stresses may differ between species
These differences could correlate with pathogenicity mechanisms
Evolution of redundancy:
| Approach | Description | Advantages | Limitations |
|---|---|---|---|
| Synthetic genetic arrays | Systematic creation of double mutants to identify genetic interactions | Comprehensive, unbiased | Labor-intensive, requires marker system |
| Transcriptomic analysis | Measure gene expression changes in LOS1 mutants | Reveals regulatory networks | Indirect measure of interaction |
| Suppressor screens | Identify mutations that suppress LOS1 deletion phenotypes | Discovers functional pathways | May identify indirect suppressors |
| Protein-protein interaction | Co-immunoprecipitation, yeast two-hybrid | Detects direct physical interactions | May miss transient interactions |
| CRISPR interference screens | Systematically reduce expression of genes in LOS1 mutant background | Can work with essential genes | Technical challenges in C. glabrata |
Particularly informative would be examining interactions with nucleoporins like Nup2p and Nsp1p, which are known to interact with Los1p in S. cerevisiae , and with components of the Ran cycle.
Size and structural complexity:
LOS1 is a large protein (~120-130 kDa) with complex domain architecture
Solution: Express functional domains separately for specific studies
Alternative: Use protein tags strategically placed to minimize functional disruption
Solubility issues:
Large nuclear transport proteins often have solubility challenges
Solution: Optimize expression conditions (temperature, induction time)
Alternative: Use solubility-enhancing fusion partners (MBP, SUMO)
Functional assessment:
Determining if recombinant protein retains native activity
Solution: Develop robust in vitro assays for tRNA binding and export
Alternative: Use genetic complementation to assess functionality
Species-specific considerations:
C. glabrata has unique genetics and biology
Solution: Develop C. glabrata-specific tools rather than assuming S. cerevisiae methods will work
Alternative: Use comparative approaches with multiple species
Expression system selection:
Each system has advantages and limitations as detailed earlier
Solution: Match expression system to experimental requirements
For structural studies, insect cell expression often provides the best balance of yield and quality
Recent research shows that Candida species interact in mixed infections, with C. glabrata and C. albicans showing particularly important clinical interactions :
Co-culture experimental design:
Develop fluorescently tagged strains of each species
Create LOS1 mutants in C. glabrata with distinct markers
Use flow cytometry to separate species after co-culture
Apply RNA-seq to assess transcriptional changes in each species
In vivo infection models:
Molecular communication analysis:
Clinical sample analysis:
Develop methods to assess LOS1 expression in clinical samples
Compare expression patterns in single vs. mixed-species infections
Correlate with patient outcomes and treatment responses