KEGG: cgr:CAGL0D04180g
STRING: 284593.XP_445598.1
UTP25 (also known as Def) is a component of the SSU processome, a large ribonucleoprotein complex consisting of U3 snoRNA and at least 43 proteins. In Candida glabrata, UTP25 plays an essential role in pre-rRNA processing, specifically in the maturation of 18S rRNA.
Research has demonstrated that UTP25 is required for proper ribosome biogenesis. When UTP25 is depleted, cells exhibit accumulation of unprocessed 35S pre-rRNA precursor and a decrease in the abundance of 27SA pre-rRNA, indicating impaired pre-18S rRNA processing . This protein has been identified as essential for growth, as genetic depletion of UTP25 resulted in growth rate reduction comparable to depletion of other essential SSU processome components like Utp6 .
The importance of UTP25 extends beyond basic cellular functions, as it has been implicated in virulence-related processes and potentially in antifungal drug response mechanisms, making it a protein of significant interest in clinical and basic research settings.
UTP25 has been classified as a "pseudohelicase" - a protein with structural similarities to DEAD-box RNA helicases but lacking functional helicase activity. Structural predictions using AlphaFold have revealed that human UTP25/DEF contains two structured globular domains (domain I: 157–559aa; domain II: 567–756aa) linked by a short hinge region (560–566aa) .
Despite displaying sequence similarity to DEAD-box RNA helicases, mutational studies have demonstrated that UTP25's DEAD-box motifs are dispensable for its function, confirming its classification as a pseudohelicase . This represents the first fully validated pseudohelicase, fulfilling all three criteria for classification as a pseudoenzyme: sequence similarity, lack of enzymatic function, and structural resemblance to authentic helicases.
As a pseudohelicase, UTP25 may function as a helicase co-factor, binding to pre-rRNA and recruiting an SSU processome helicase to specific sites. Evidence indicates that UTP25 forms direct protein-protein interactions with other known or suspected helicase co-factors such as Esf2, Lcp5, Pfa1, and Slx9, as well as with the helicase Dhr2 .
Candida glabrata is the second most common cause of candidiasis globally, with clinical isolates often exhibiting high resistance to azole antifungals . This pathogen can thrive inside macrophages and demonstrates intrinsic tolerance to antifungal drugs, rendering infections a significant clinical challenge .
Understanding UTP25's function is valuable for several reasons:
As an essential protein for growth, UTP25 provides insights into fundamental biological processes in fungi
Its role in the SSU processome contributes to our understanding of ribosome biogenesis, a process critical for all living cells
The discovery of UTP25 as a pseudohelicase enhances our knowledge of protein evolution and pseudoenzyme functions
Studying UTP25 may reveal its potential role in virulence and/or drug resistance mechanisms
Research into UTP25 also contributes to the broader field of host-pathogen interactions, potentially leading to new therapeutic strategies against this increasingly important fungal pathogen.
For successful expression and purification of recombinant C. glabrata UTP25, researchers should consider the following methodology:
Expression System Selection:
E. coli BL21(DE3) strains are suitable for expression of full-length UTP25
For expressing specific domains, consider using pET system vectors with N-terminal 6xHis-tags for easier purification
Optimized Expression Protocol:
Transform expression plasmid into competent cells and plate on selective media
Grow starter culture in LB medium with appropriate antibiotics at 37°C overnight
Inoculate expression culture at 1:100 dilution and grow until OD600 reaches 0.6-0.8
Induce protein expression with 0.5 mM IPTG and reduce temperature to 18°C for 16-18 hours
Harvest cells by centrifugation (5,000 x g, 15 min, 4°C)
Purification Strategy:
Resuspend cell pellet in lysis buffer (50 mM Tris-HCl pH 7.5, 300 mM NaCl, 10% glycerol, 10 mM imidazole, 1 mM DTT with protease inhibitors)
Lyse cells by sonication or high-pressure homogenization
Clarify lysate by centrifugation (20,000 x g, 30 min, 4°C)
Apply supernatant to Ni-NTA column equilibrated with lysis buffer
Wash with buffer containing 20-40 mM imidazole
Elute protein with buffer containing 250 mM imidazole
Perform size exclusion chromatography for final purification
Special Considerations:
UTP25 tends to migrate in glycerol gradients as a 165 kDa particle despite its actual 84 kDa size, suggesting it may form complexes or have an extended structure
Include RNase inhibitors if studying RNA-binding properties
For functional studies, verify protein integrity through circular dichroism or thermal shift assays
To investigate UTP25's function in pre-rRNA processing, the following methodological approaches are recommended:
1. Conditional Depletion System:
Create a strain with UTP25 under control of a galactose-inducible/glucose-repressible promoter (GAL::3xHA-UTP25) to allow for controlled depletion of the protein. This approach was successfully used to demonstrate UTP25's essential role in pre-18S rRNA processing .
2. Northern Blot Analysis for Pre-rRNA Intermediates:
Extract total RNA from cells at different time points after UTP25 depletion
Separate RNA on formaldehyde-agarose gels
Transfer to nylon membranes
Hybridize with probes specific for different regions of the pre-rRNA
Analyze accumulation of precursors and depletion of mature rRNAs
3. ChIP-Seq of RNA Polymerase II:
As demonstrated in research with C. glabrata during macrophage infection, ChIP-seq against elongating RNA Polymerase II can map transcriptional responses with high temporal resolution . This approach can be adapted to study how UTP25 deletion affects transcription of rRNA processing genes.
4. Co-Immunoprecipitation Analysis:
To identify proteins that interact with UTP25:
Create tagged versions of UTP25 (e.g., HA-tagged)
Perform immunoprecipitation using anti-tag antibodies
Analyze co-precipitating proteins by mass spectrometry
Validate interactions by reciprocal co-IPs
5. RNA-Protein Interaction Studies:
To study UTP25's interaction with pre-rRNA:
Perform UV cross-linking immunoprecipitation (CLIP-seq)
Analyze binding sites on pre-rRNA
Correlate binding sites with pre-rRNA processing defects in UTP25-depleted cells
Example data from previous studies:
UTP25 depletion led to accumulation of 35S pre-rRNA and decrease in 27SA pre-rRNA, indicating a block in early pre-rRNA processing steps leading to 18S rRNA maturation .
To explore whether UTP25 contributes to antifungal resistance in C. glabrata, researchers should consider a multi-faceted approach:
1. Gene Deletion and Complementation Studies:
Generate UTP25 deletion mutants using homologous recombination
Create complemented strains by reintroducing UTP25 on a plasmid
Assess susceptibility to different classes of antifungals (azoles, echinocandins, polyenes) using standardized susceptibility testing methods
2. Transcriptomic Analysis:
Compare gene expression profiles between wild-type and UTP25 mutant strains using RNA-seq
Focus on known drug resistance genes (e.g., efflux pumps, ergosterol biosynthesis)
Analyze data under normal conditions and upon exposure to sub-inhibitory concentrations of antifungals
3. Azole Accumulation Assays:
Similar to methods used in other C. glabrata studies, measure intracellular accumulation of fluorescent azole derivatives or radiolabeled antifungals in wild-type vs. UTP25 mutant cells .
4. Protein Interaction Studies:
Identify if UTP25 interacts with known regulators of drug resistance, such as:
Transcription factors (e.g., CgPdr1)
Efflux pumps (e.g., CgCdr1, CgCdr2)
Components of stress response pathways
5. Evolution Experiments:
Subject wild-type and UTP25 mutant strains to long-term exposure to increasing concentrations of antifungals
Monitor development of resistance and identify genomic/transcriptomic changes
Compare evolution trajectories between strains
This approach would be similar to the study on C. glabrata evolution from azole susceptibility to resistance through longstanding incubation with fluconazole .
As a validated pseudohelicase, UTP25 presents an intriguing case for investigating how proteins that have lost their enzymatic function can gain alternative roles. Current research suggests several potential functional mechanisms:
Helicase Co-factor Hypothesis:
UTP25 may act as a regulatory co-factor for authentic helicases in the SSU processome. Evidence supporting this includes:
Direct protein-protein interactions with the helicase Dhr2 and with known helicase co-factors Esf2, Lcp5, Pfa1, and Slx9
Ability to bind to pre-rRNA, potentially recruiting helicases to specific sites
Absence from stable SSU processome structures captured by cryoEM, consistent with the transient nature of helicase/co-factor interactions
Molecular Scaffold Hypothesis:
UTP25 may function as a structural scaffold in SSU processome assembly:
Despite being an 84 kDa protein, UTP25 migrates in glycerol gradients as a 165 kDa particle, suggesting complex formation or extended structure
This scaffolding role is consistent with known functions of other pseudoenzymes
UTP25 could stabilize specific conformations of the pre-rRNA to facilitate processing
To test these hypotheses, researchers could:
Perform structure-function analysis by generating UTP25 variants with mutations in potential RNA-binding or protein-interaction domains
Use hydrogen-deuterium exchange mass spectrometry to identify conformational changes in UTP25 upon binding to RNA or protein partners
Apply in vitro reconstitution approaches with purified UTP25 and authentic helicases to test for modulation of helicase activity
The study of UTP25 as a pseudohelicase has broader implications for understanding protein evolution through gene duplication and divergence, potentially informing predictions about the consequences of protein sequence variants in genetic diseases and cancer .
The interaction between UTP25 and the RNA exosome represents an important area for investigation, especially considering recent findings about related proteins:
Current Knowledge and Research Gaps:
Research on UTP3 has shown that it facilitates degradation of processed 5'ETS by recruiting the RNA exosome component EXOSC10 to the nucleolus
Whether UTP25 has similar interactions with the RNA exosome remains unknown
As a component of the SSU processome, UTP25 likely participates in a network of interactions with other RNA processing factors
Methodological Approaches for Investigation:
Protein-Protein Interaction Mapping:
Implement BioID or proximity labeling approaches to identify proteins in close proximity to UTP25 in vivo
Perform yeast two-hybrid screens or pull-down assays to identify direct interacting partners
Use quantitative proteomics to compare interaction profiles in different conditions (e.g., normal growth vs. stress)
Domain-Specific Interaction Analysis:
Based on structural predictions that human UTP25/DEF contains two structured globular domains (domain I: 157–559aa; domain II: 567–756aa) , researchers could:
Generate domain-specific deletion or mutation constructs
Test each domain's interaction with putative partners
Identify which regions mediate specific interactions
Subcellular Localization Studies:
RNA-Protein Complexes Analysis:
Implement CLIP-seq or related techniques to identify RNA targets of UTP25
Compare with known targets of RNA exosome components
Identify potential overlap in binding sites that might indicate functional cooperation
Potential Experimental Design:
To test whether UTP25 interacts with the RNA exosome, researchers could:
Create epitope-tagged versions of UTP25 and exosome components
Perform co-immunoprecipitation experiments
Analyze pre-rRNA processing defects in cells with mutations in both UTP25 and exosome components
Look for genetic interactions (synthetic lethality or suppression) between UTP25 and exosome component mutations
Expressing and studying fungal proteins like UTP25 in heterologous systems presents several challenges that researchers must overcome:
Common Challenges and Solutions:
Codon Usage Bias:
Challenge: Differences in codon usage between fungi and expression hosts (typically E. coli) can lead to poor expression.
Solution: Optimize codons for the expression host, particularly for rare codons. Alternatively, co-express rare tRNAs using specialized E. coli strains like Rosetta.
Protein Solubility Issues:
Challenge: Fungal proteins often form inclusion bodies in bacterial systems.
Solutions:
Use fusion tags that enhance solubility (MBP, SUMO, GST)
Express at lower temperatures (16-18°C)
Co-express molecular chaperones
Consider eukaryotic expression systems (yeast, insect cells) for proteins resistant to bacterial expression
Post-translational Modifications:
Challenge: Bacterial systems lack eukaryotic PTM machinery.
Solution: For proteins requiring PTMs, use eukaryotic expression systems like Pichia pastoris or insect cells.
Protein Purification Challenges:
Challenge: UTP25 tends to migrate as a larger complex (165 kDa vs. actual 84 kDa) , suggesting it forms complexes or has an extended structure.
Solutions:
Include detergents or higher salt concentrations to disrupt non-specific interactions
Use stringent washing steps during affinity purification
Implement multi-step purification strategies, including ion exchange and size exclusion chromatography
Recommended Expression Protocol for UTP25:
Generate constructs expressing different domains based on structural predictions:
Full-length UTP25
Domain I (approximately aa 157-559)
Domain II (approximately aa 567-756)
N-terminal region (aa 1-156)
Test expression in multiple systems:
E. coli (BL21, Arctic Express, Rosetta)
Yeast (S. cerevisiae, P. pastoris)
Insect cells (if necessary)
Optimize purification based on protein characteristics:
For studying RNA binding: Include RNase inhibitors and test for co-purifying RNAs
For structural studies: Include additional purification steps to ensure homogeneity
Investigating UTP25's role in infection contexts requires specialized approaches that balance molecular detail with physiological relevance:
In Vitro Macrophage Infection Models:
Based on successful approaches used in C. glabrata research, the following protocol is recommended:
Macrophage Preparation:
Fungal Preparation:
Analysis Methods:
At multiple time points (2h, 8h, 24h, 48h), lyse macrophages and plate dilutions to count fungal CFUs
Compare proliferation rates between wild-type and UTP25-depleted strains
Perform RNA extraction for transcriptomic analysis
Conduct microscopy to assess fungal morphology and localization within macrophages
In Vivo Galleria mellonella Model:
The G. mellonella (greater wax moth) larval model offers advantages for studying C. glabrata virulence:
Infection Protocol:
Data Analysis:
Generate Kaplan-Meier survival curves
Compare fungal proliferation in hemolymph across strains
Assess statistical significance using appropriate tests (log-rank test for survival, t-test or ANOVA for CFU counts)
Molecular Analysis During Infection:
To understand UTP25's function during infection:
Design a system to isolate C. glabrata RNA from infected hosts with minimal host contamination
Implement ChIP-seq against elongating RNA Polymerase II to map transcriptional responses with high temporal resolution
Compare results between wild-type and UTP25-depleted strains to identify UTP25-dependent processes
When studying complex proteins like UTP25, researchers often encounter seemingly contradictory results. Here's a methodological framework for addressing and interpreting such conflicts:
Sources of Experimental Variation:
Genetic Background Differences:
Methodological Variations:
Different detection methods have varied sensitivity and specificity
Tagging strategies may affect protein function differently
Growth conditions can significantly influence results
Temporal Considerations:
Systematic Approach to Resolving Conflicts:
Perform Control Experiments:
Test multiple genetic backgrounds
Use different tagging strategies and confirm functionality
Validate key results using independent methodologies
Implement Rigorous Statistical Analysis:
Apply appropriate statistical tests
Consider multiple hypothesis testing correction
Calculate effect sizes, not just statistical significance
Utilize Meta-Analysis Techniques:
Aggregate data across studies
Weight results based on sample size and methodological rigor
Identify patterns that persist across experimental variations
Decision Framework for Conflicting Results:
| Conflict Type | Assessment Approach | Resolution Strategy |
|---|---|---|
| Different phenotypes in various strains | Sequence the UTP25 locus and regulatory regions | Identify strain-specific variations that might explain differences |
| Varying protein interaction profiles | Compare experimental conditions | Test interactions under standardized conditions across strains |
| Discrepant functional assignments | Examine methodological differences | Implement side-by-side comparisons with controlled variables |
| Contradictory localization patterns | Check tag interference | Use multiple tagging approaches and native antibodies if available |
Statistical Considerations:
When interpreting possibly conflicting results, researchers should implement rigorous statistical frameworks:
Control for false discovery rate using methods like Bonferroni correction (e.g., adjusting alpha to 0.001 for multiple comparisons)
Consider power analysis to ensure sample sizes are sufficient to detect effects of interest
Report effect sizes alongside p-values to better characterize the magnitude of differences
Based on current knowledge gaps and potential significance, the following research directions appear most promising:
1. Structure-Function Relationships:
Obtain high-resolution structural data for UTP25 through X-ray crystallography or cryo-EM
Compare with authentic RNA helicases to identify structural features unique to pseudohelicases
Map RNA binding sites and protein interaction domains
Use this information to design specific inhibitors as potential antifungal targets
2. Evolutionary Analysis:
Perform comparative analysis of UTP25 across fungal species, especially pathogenic vs. non-pathogenic species
Investigate whether UTP25 shows signatures of positive selection in clinical isolates
Examine the evolution of pseudohelicase function from ancestral helicases
3. Systems Biology Approaches:
Integrate transcriptomic, proteomic, and functional data to position UTP25 within cellular networks
Identify condition-specific roles during stress response and host interaction
Apply network analysis to predict additional functions and interactions
4. Translational Research:
Assess whether UTP25 could serve as a biomarker for specific C. glabrata infections
Investigate UTP25 as a potential drug target, exploiting its essential nature
Develop screening assays for compounds that disrupt UTP25 function or interactions
5. Host-Pathogen Interactions:
Study how host immune responses affect UTP25 expression and function
Investigate whether UTP25 contributes to immune evasion mechanisms
Examine UTP25's role in adaptation to different host niches
The emergence of drug-resistant Candida strains necessitates novel antifungal approaches. UTP25 offers several promising avenues for therapeutic development:
Target Validation Considerations:
Essential Nature:
Evolutionary Distinctiveness:
As a pseudohelicase, UTP25 likely has unique structural features
These distinct features could allow for selective targeting without affecting human proteins
Potential Role in Virulence and Resistance:
If UTP25 contributes to stress response or drug resistance mechanisms, targeting it might enhance existing antifungals
Combination therapy approaches could be particularly effective
Potential Therapeutic Strategies:
Small Molecule Inhibitors:
Target UTP25 protein-protein interactions, especially with known partners like Dhr2 helicase
Disrupt UTP25-RNA interactions essential for processome function
Design allosteric inhibitors that lock UTP25 in inactive conformations
Peptide-Based Therapeutics:
Develop peptides that mimic natural binding partners but disrupt function
Create cell-penetrating peptides that interfere with UTP25 localization
Immunotherapeutic Approaches:
If UTP25 has cell surface exposure during infection, develop antibodies or immunomodulators
Target UTP25-dependent processes specifically activated during infection
Combination Therapies:
Development Pathway:
High-throughput screening for compounds that bind UTP25
Secondary screens for inhibition of UTP25 function in cell-free systems
Tertiary screens in C. glabrata to confirm antifungal activity
Optimization for selectivity, potency, and pharmacological properties
In vivo testing in infection models
Emerging technologies offer new opportunities to explore UTP25 biology at unprecedented resolution:
1. Advanced Structural Biology Approaches:
Cryo-Electron Tomography: Visualize UTP25 within the native cellular environment
Integrative Structural Biology: Combine X-ray crystallography, NMR, and computational modeling
AlphaFold-Enabled Structure Prediction: Leverage recent advances in protein structure prediction to guide experimental design
2. Single-Cell and Spatial Technologies:
Single-Cell RNA-Seq: Profile transcriptional heterogeneity in UTP25 response during infection
Spatial Transcriptomics: Map UTP25-dependent gene expression in the context of host tissues
Super-Resolution Microscopy: Track UTP25 localization and dynamics at nanometer resolution
3. CRISPR-Based Technologies:
CRISPRi/CRISPRa: Create tunable repression or activation of UTP25 and interacting genes
Base Editing: Introduce precise mutations to test structure-function hypotheses
CRISPR Screens: Identify genetic interactions through genome-wide screens in UTP25 mutant backgrounds
4. Protein Engineering Approaches:
Optogenetic Control: Create light-activatable UTP25 variants to control function with temporal precision
Chemical Genetics: Develop rapidly inducible degradation systems for acute UTP25 depletion
Proximity Labeling: Map the UTP25 interactome in different cellular compartments and conditions
5. High-Resolution 'Omics Integration:
Multi-omics Analysis: Integrate transcriptomics, proteomics, and metabolomics data from UTP25 mutants
Ribosome Profiling: Examine translation effects of UTP25 perturbation with codon-level resolution
Epitranscriptomics: Investigate how UTP25 affects RNA modifications important for ribosome assembly
Implementation Strategy:
When applying these novel techniques, researchers should consider:
Starting with well-controlled model systems before moving to complex infection scenarios
Validating findings using complementary approaches
Developing computational pipelines to integrate multi-modal data
Establishing collaborations that bring together expertise across disciplines