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ATP-dependent rRNA helicase essential for pre-ribosomal RNA processing. It participates in 35S pre-rRNA maturation and its cleavage into mature 18S rRNA.
KEGG: cgr:CAGL0J10912g
STRING: 284593.XP_448186.1
RRP3 is an ATP-dependent RNA helicase encoded by the RRP3 gene in Candida glabrata. It belongs to the DEAD-box helicase family and is primarily involved in ribosomal RNA processing. The protein has a UniProt accession number Q6FNK8 and includes characteristic ATP-binding motifs and RNA-binding domains .
The protein sequence begins with "MAGKVGKVSK KSDDVSSLAA KIRARALENQ KKMQAASRKD SESDSSDEEV ERPAKKQAKD EKVEEPEEEV TFESFAQLNL VPELIQACQN LNFTKPTPIQ ARAIPPALAG SDVIGLAQTG SGKTAAFAIP ILNKLWEDQQ PYYACVLAPT" and contains the conserved sequence motifs typical of DEAD-box helicases . These motifs are essential for its ATP-dependent unwinding activity of RNA secondary structures during ribosome biogenesis.
For optimal stability and activity retention, storage conditions for recombinant RRP3 protein vary depending on the formulation:
| Formulation | Storage Temperature | Shelf Life |
|---|---|---|
| Liquid form | -20°C to -80°C | 6 months |
| Lyophilized | -20°C to -80°C | 12 months |
The shelf life is influenced by multiple factors including buffer ingredients, storage temperature, and the intrinsic stability of the protein itself . For research applications requiring long-term storage, the lyophilized form is preferable due to its extended shelf life.
The purity of recombinant RRP3 is commonly assessed using SDS-PAGE, with commercial preparations typically achieving >85% purity . For researchers requiring higher purity levels for specialized applications, additional purification steps may be necessary:
Size exclusion chromatography to separate based on molecular weight
Ion exchange chromatography to separate based on charge differences
Affinity chromatography using ATP-binding properties
Western blot analysis with RRP3-specific antibodies to confirm identity
When interpreting experimental results, it's important to consider the purity level and potential effects of contaminants, particularly when studying enzymatic activities or protein-protein interactions.
The RRP3 helicase likely contributes to C. glabrata drug resistance through several interconnected mechanisms, though this relationship is still being fully elucidated:
Ribosomal RNA processing: As an ATP-dependent rRNA helicase, RRP3 plays a critical role in ribosome biogenesis. Alterations in ribosome assembly can affect translation of key resistance genes .
Stress response modulation: RNA helicases often function in stress response pathways. C. glabrata is known to generate strong stress responses against reactive oxygen species (ROS), enabling it to survive within phagosomes . RRP3 may contribute to this stress adaptation.
Genetic plasticity: C. glabrata demonstrates remarkable genetic diversity and microevolution within patients, particularly affecting cell surface proteins and drug resistance genes like ERG4 and FKS1/2 . RNA helicases may facilitate RNA metabolism changes needed for this adaptability.
Experimental approaches to investigate these connections include:
Gene knockout/knockdown studies comparing wild-type and RRP3-deficient strains
Transcriptomic analysis under antifungal pressure
Biochemical assays measuring helicase activity in the presence of antifungals
Several complementary approaches can effectively elucidate RRP3's interactions with other cellular components:
| Technique | Application | Advantages | Limitations |
|---|---|---|---|
| Co-immunoprecipitation (Co-IP) | Identifying protein-protein interactions | Detects native complexes | May miss transient interactions |
| RNA immunoprecipitation (RIP) | Identifying RNA targets | Maps direct RNA binding | RNA degradation challenges |
| Chromatin immunoprecipitation (ChIP) | Detecting chromatin associations | Maps genomic locations | High background possible |
| Proximity labeling (BioID/APEX) | Identifying spatial neighbors | Captures transient interactions | Non-specific labeling |
| Cryo-EM or X-ray crystallography | Structural analysis | Atomic-level resolution | Technical challenges with flexibility |
When designing these experiments, it's crucial to consider the native conditions in which RRP3 functions, including ATP concentration, RNA substrates, and potential regulatory partners. For instance, when performing Co-IP experiments, using mild detergents and physiological salt concentrations helps preserve native interactions .
C. glabrata demonstrates significant genetic diversity with at least 19 distinct sequence types identified globally, plus newly discovered variants . This genetic heterogeneity likely affects RRP3 expression and function:
Strain-dependent variation: Different clinical isolates show variations in gene expression patterns that may affect RRP3 levels and activity. Research approaches should include:
qRT-PCR analysis across multiple clinical isolates
Western blot quantification of protein levels
Functional assays for helicase activity
Stress-induced regulation: C. glabrata adapts to various stresses including antifungal exposure, nutrient limitation, and host immune responses. RRP3 expression may be modulated under these conditions:
Oxidative stress (relevant to phagocyte survival)
Azole exposure (connects to drug resistance mechanisms)
Nutrient deprivation (common in biofilm environments)
Host-pathogen interface: Expression may change during infection progression, particularly as C. glabrata adapts to different host niches and immune pressures .
Researchers should design experiments that capture these variables by using multiple strains and creating relevant in vitro stress conditions that mimic the host environment.
Designing robust helicase activity assays for RRP3 requires attention to several critical factors:
Substrate selection:
RNA structure (single vs. double-stranded regions)
Length and sequence composition
Labeled vs. unlabeled substrates
Natural rRNA targets vs. synthetic substrates
Reaction conditions optimization:
ATP concentration and regeneration system
Divalent cation requirements (typically Mg²⁺)
pH and buffer composition
Temperature (physiological relevance)
Presence of RNase inhibitors
Detection methods:
Fluorescence-based unwinding assays
Gel-shift assays for direct visualization
FRET-based real-time monitoring
Radiolabeled substrate tracking
A standardized approach involves using dual-labeled RNA substrates with a fluorophore and quencher, where helicase activity separates the strands and generates a measurable fluorescence signal. This allows for continuous real-time monitoring of activity and is amenable to high-throughput screening applications.
Investigating the relationship between RRP3 mutations and pathogenicity requires a multi-faceted approach:
Genetic engineering strategies:
CRISPR-Cas9 for precise genomic editing
Homologous recombination for allele replacement
Conditional expression systems for essential genes
In vitro virulence assays:
In vivo infection models:
Murine systemic infection models
Tissue-specific infection models
Host-pathogen interaction analysis
Molecular phenotyping:
Transcriptomics to identify affected pathways
Proteomics to detect compensatory mechanisms
Metabolomics to assess physiological changes
When analyzing results, researchers should be mindful of C. glabrata's remarkable adaptability and microevolution capacity within hosts, which can complicate interpretation of pathogenicity data . Additionally, the connection between RRP3 function and known virulence factors (proteases, phospholipases, hemolysins, and biofilm formation) should be specifically examined .
To elucidate RRP3's specific functions in ribosome biogenesis:
Ribosome profiling and assembly analysis:
Sucrose gradient fractionation of ribosomes
Northern blot analysis of rRNA processing intermediates
Pulse-chase labeling of rRNA
Mass spectrometry of ribosomal subunits
RNA-protein interaction mapping:
CLIP-seq (Cross-linking immunoprecipitation) to identify binding sites
RNA footprinting to detect structural changes
Secondary structure mapping (SHAPE-seq, DMS-seq)
Functional complementation:
Expression of mutant variants to identify essential domains
Heterologous expression in S. cerevisiae helicase mutants
Depletion/replenishment experiments
High-resolution imaging:
Fluorescence microscopy for localization
Immuno-electron microscopy for ultrastructural analysis
Live-cell imaging to track dynamics
The interpretation of results should consider the highly conserved nature of ribosome biogenesis pathways while remaining alert to C. glabrata-specific adaptations that may have evolved to support its pathogenic lifestyle.
When confronting data inconsistencies across clinical isolates, consider these methodological approaches:
Genetic background characterization:
Statistical approaches:
Increased biological replicates to account for strain variability
Mixed-effects models that include strain as a random effect
Meta-analysis techniques for combining heterogeneous data
Experimental design modifications:
Data reporting standards:
Detailed documentation of strain provenance and characteristics
Comprehensive reporting of experimental conditions
Transparent sharing of raw data for community reanalysis
C. glabrata's established genetic diversity (with at least 19 sequence types globally) makes this challenge particularly relevant. Some isolates show evidence of ancestral recombination, suggesting genetic exchange between geographically distinct populations that may affect RRP3 function and regulation.
Establishing causality between RRP3 and drug resistance requires rigorous validation approaches:
Genetic manipulation experiments:
Gene deletion/complementation (phenotype rescue)
Point mutations in functional domains
Overexpression studies
Promoter swapping to alter expression levels
Pharmacological validation:
Specific inhibitors of helicase activity
Combination studies with antifungals
Dose-response relationship analysis
Time-kill curves with and without helicase inhibition
Clinical correlation studies:
Mechanistic validation:
Transcriptomic changes upon RRP3 modulation
Direct measurement of antifungal drug accumulation
Assessment of target enzyme activities (e.g., ergosterol biosynthesis)
When interpreting results, consider C. glabrata's multiple resistance mechanisms, including overexpression of drug transporters, biofilm formation, and modifications to cell wall proteins , which may interact with or mask RRP3-specific effects.
Distinguishing direct from indirect effects requires sophisticated experimental designs:
Temporal resolution approaches:
Time-course experiments with fine granularity
Inducible expression systems with rapid kinetics
Pulse-chase labeling of RNA/proteins to track synthesis and turnover
Spatial resolution techniques:
Subcellular fractionation
Proximity labeling of interacting partners
Super-resolution microscopy for co-localization
Biochemical validation:
In vitro reconstitution of minimal systems
Direct binding assays with purified components
Structure-function analyses with domain mutants
Computational approaches:
Network analysis to identify direct vs. indirect connections
Predictive modeling based on multi-omics data
Causal inference statistical methods
When interpreting results, researchers should be aware that C. glabrata possesses multiple virulence factors, including proteases, phospholipases, hemolysins, and biofilm formation capabilities . RRP3's role as an RNA helicase may affect multiple pathways simultaneously through its influence on RNA metabolism and translation.
Several cutting-edge technologies could significantly enhance RRP3 research:
CRISPR interference (CRISPRi) and activation (CRISPRa):
Allows tunable gene expression modulation
Enables tissue-specific or temporal control
Permits screening approaches for genetic interactions
Single-cell technologies:
Single-cell RNA-seq to capture population heterogeneity
Single-cell proteomics for protein-level analysis
Microfluidic approaches for isolation and manipulation
Structural biology advances:
Cryo-electron microscopy for complex assemblies
Integrative structural biology combining multiple data types
Computational modeling and molecular dynamics simulations
Synthetic biology approaches:
Engineered RRP3 variants with novel properties
Biosensors for helicase activity in living cells
Optogenetic control of RRP3 function
These technologies could help address key knowledge gaps, such as understanding how C. glabrata's genetic diversity affects RRP3 function across different clinical isolates and elucidating RRP3's potential role in the remarkable stress response capabilities that allow C. glabrata to survive within phagosomes .
Understanding RRP3's functions could inform several therapeutic strategies:
Direct targeting approaches:
Small molecule inhibitors of helicase activity
Peptide-based inhibitors of protein-protein interactions
Antisense oligonucleotides to modulate expression
Combination therapy strategies:
Helicase inhibitors as resistance-breaking adjuvants
Targeting synergistic pathways identified through RRP3 studies
Sequential therapy regimens based on adaptation mechanisms
Biomarker development:
RRP3 expression/mutation as a predictor of treatment response
Monitoring changes during treatment for resistance emergence
Personalized therapy selection based on strain characteristics
Immunomodulatory approaches:
Targeting RRP3-dependent immune evasion mechanisms
Boosting host responses that counteract RRP3 functions
Vaccine strategies incorporating RRP3-derived epitopes
These approaches align with emerging needs in antifungal development, as current drug resistance patterns in C. glabrata vary geographically and can reach concerning levels (up to 15% for azoles), with prior azole exposure increasing susceptibility . Novel therapeutics targeting multiple pathways simultaneously will be vital to circumventing the sophisticated resistance mechanisms of C. glabrata .
Despite advances in C. glabrata research, several critical questions about RRP3 remain unanswered:
Evolutionary considerations:
How has RRP3 evolved in C. glabrata compared to other Candida species?
Does sequence variation in RRP3 contribute to the unique pathogenicity traits of C. glabrata?
Are there selective pressures on RRP3 during host adaptation and antifungal exposure?
Regulatory networks:
What transcription factors and signaling pathways regulate RRP3 expression?
How does RRP3 activity integrate with known stress response pathways?
Does RRP3 participate in quorum sensing or other population-level phenomena?
Host-pathogen interface:
Does RRP3 influence recognition by host immune receptors?
How does RRP3 activity change during different stages of infection?
Can host factors directly modulate RRP3 function?
Translational aspects:
Addressing these questions will require interdisciplinary approaches and consideration of C. glabrata's remarkable genetic diversity and adaptability , as well as its sophisticated virulence mechanisms that allow for evasion of host immune responses .