| Parameter | Details |
|---|---|
| Gene ID | TDE_1242 (based on KEGG genome annotation for T. denticola ATCC 35405) |
| Protein Name | Probable rRNA maturation factor |
| Functional Category | RNA processing |
| Orthologs | Limited data; possible homologs in other spirochetes (e.g., T. pallidum) |
| Expression Data | No transcriptomic/proteomic evidence in provided sources |
rRNA Maturation: The term "rRNA maturation factor" implies involvement in processes like ribosomal RNA cleavage, modification, or assembly. In bacteria, these processes often involve endonucleases (e.g., RNase III) or methyltransferases.
Genomic Localization: Located in regions of the T. denticola genome associated with translation machinery, though specific synteny data are unavailable.
While experimental validation is absent, TDE_1242’s predicted function aligns with critical bacterial processes:
| Hypothesized Function | Relevance to T. denticola |
|---|---|
| rRNA Cleavage | Essential for ribosome assembly in stress-prone environments |
| Antibiotic Resistance | Potential role in modulating ribosomal targets of macrolides |
| Stress Response | Adaptation to anaerobic niches in subgingival biofilms |
Orthologs in Pathogens: Similar rRNA maturation factors in Streptococcus pneumoniae (e.g., RNase III) are linked to virulence and antibiotic resistance .
Biofilm Dynamics: T. denticola thrives in polymicrobial biofilms; efficient rRNA processing may enhance survival under nutrient-limited conditions .
| Gap | Potential Approach |
|---|---|
| Functional Validation | CRISPR knockout in T. denticola; recombinant protein assays |
| Interaction Partners | Co-IP/mass spectrometry to identify rRNA-binding proteins |
| Transcriptional Regulation | RNA-seq under anaerobic vs. aerobic conditions |
| Antimicrobial Targeting | High-throughput screening of rRNA maturation inhibitors |
Low Abundance: If TDE_1242 is expressed at low levels, detection may require specialized techniques (e.g., targeted proteomics).
Recombinant Expression: T. denticola’s fastidious growth requirements complicate heterologous protein production.
KEGG: tde:TDE1242
STRING: 243275.TDE1242
Treponema denticola Probable rRNA maturation factor (TDE_1242) is a specialized protein involved in ribosomal RNA (rRNA) processing within the oral pathogen Treponema denticola. Based on homology with known rRNA maturation factors, TDE_1242 likely functions in bacterial ribosome biogenesis, playing roles similar to eukaryotic factors like RSL24D1 which are critical for pre-rRNA processing and ribosome assembly . TDE_1242 contains conserved domains characteristic of rRNA processing factors and contributes to the pathogen's ability to synthesize proteins essential for its survival and virulence in the oral microbiome.
TDE_1242 likely functions as a key component in T. denticola's ribosomal biogenesis pathway. Drawing parallels with eukaryotic rRNA maturation factors like RSL24D1, TDE_1242 probably facilitates specific steps in pre-rRNA processing, potentially including cleavage of precursor rRNA molecules and assembly of ribosomal subunits . This function would be essential for the pathogen's protein synthesis capacity, directly affecting its ability to produce virulence factors associated with periodontitis, such as those involved in MMP-2 activation which contributes to tissue destruction in periodontal disease .
While TDE_1242's direct role in pathogenesis has not been fully characterized, its function as an rRNA maturation factor would support T. denticola's ability to synthesize virulence factors. T. denticola is known to increase MMP-2 expression and activation in periodontal ligament cells, contributing to extracellular matrix degradation in periodontitis . Functional ribosomes are essential for producing the bacterial components that trigger this host response. By ensuring proper ribosome assembly, TDE_1242 likely plays an indirect but critical role in the bacterium's virulence mechanisms, including its ability to induce chronic inflammatory responses in periodontal tissues.
For successful recombinant expression of TDE_1242, researchers should consider the following optimized protocol:
Gene synthesis with codon optimization for the expression host (typically E. coli)
Cloning into an expression vector with an N-terminal affinity tag (His6 recommended)
Expression in E. coli BL21(DE3) or equivalent strains with the following conditions:
Induction at OD600 of 0.6-0.8
Lower temperature expression (16-18°C) to enhance protein solubility
Reduced IPTG concentration (0.1-0.5 mM)
Cell lysis under native conditions using sonication or pressure-based methods
Purification via immobilized metal affinity chromatography followed by size exclusion chromatography
Post-purification quality control should include SDS-PAGE analysis, western blotting, and circular dichroism to verify protein folding. Functional verification can be performed using in vitro rRNA processing assays similar to those used for characterizing RSL24D1 .
TDE_1242's impact on rRNA processing can be evaluated using multiple complementary approaches:
Northern blot analysis with probes targeting specific regions of pre-rRNA intermediates, similar to methods used for analyzing RSL24D1's role in pre-28S rRNA processing
Quantitative RT-PCR to measure relative levels of rRNA precursors and mature forms
Ratio Analysis of Multiple Precursors (RAMP) method to quantify processing efficiency at specific steps in the rRNA maturation pathway
In vitro reconstitution assays using purified recombinant TDE_1242 and pre-rRNA substrates
Genetic complementation studies in conditional depletion strains
These methods should be employed with appropriate controls, including comparison to wild-type T. denticola and strains expressing catalytically inactive TDE_1242 mutants.
To study TDE_1242's interactions with ribosome assembly components, researchers should consider:
Co-immunoprecipitation with epitope-tagged TDE_1242 followed by mass spectrometry to identify interaction partners
Bacterial two-hybrid assays to confirm specific protein-protein interactions
In vitro binding assays with purified components to determine direct interactions
Cryo-electron microscopy of ribosome assembly intermediates containing TDE_1242
Crosslinking and mass spectrometry to map interaction interfaces at the molecular level
Researchers should validate interactions using multiple independent methods and include appropriate negative controls. Comparison with known interaction networks of eukaryotic rRNA maturation factors like RSL24D1 can provide valuable insights into conserved and divergent aspects of ribosome assembly .
While TDE_1242 primarily functions within the bacterium, its role in ensuring proper protein synthesis may significantly impact host-pathogen interactions. T. denticola is known to alter host epigenetic enzyme expression, with infection leading to decreased levels of histone modification enzymes including aurora kinases, histone methyltransferases, and histone deacetylases . TDE_1242-dependent bacterial components may contribute to these epigenetic alterations. Additionally, proper ribosome function supported by TDE_1242 would enable synthesis of virulence factors that trigger MMP-2 activation in periodontal ligament cells, contributing to matrix degradation and chronic inflammation .
Comparative analysis between TDE_1242 and human factors like RSL24D1 can reveal important functional differences with potential therapeutic implications:
| Feature | TDE_1242 (T. denticola) | RSL24D1 (Human) |
|---|---|---|
| Cellular localization | Bacterial cytoplasm | Nucleolus/nucleoplasm |
| rRNA target | Bacterial 23S rRNA | Pre-28S rRNA |
| Processing steps affected | Bacterial-specific cleavages | ITS2 processing |
| Protein interactions | Bacterial assembly factors | PeBoW complex, other pre-60S factors |
| Impact on transcription | Unknown | Regulates RNAPI promoter activity |
| Effect on downstream processes | Bacterial protein synthesis | Sustains global protein synthesis |
Research approaches should include structural comparisons, functional complementation assays, and inhibitor screening to identify bacterial-specific vulnerabilities that could be therapeutically targeted .
TDE_1242's role in ribosome biogenesis likely contributes to T. denticola's adaptation to the challenging periodontal environment. In this context, researchers should investigate:
Expression patterns of TDE_1242 under various environmental stresses (pH changes, oxygen tension, nutrient limitation)
Impact of TDE_1242 depletion on bacterial survival in conditions mimicking periodontal pockets
Relationship between TDE_1242 function and expression of stress response proteins
Comparison of TDE_1242 sequence and expression across clinical isolates with varying virulence
The chronic nature of periodontal disease suggests that T. denticola must sustain protein synthesis under adverse conditions, making rRNA maturation factors like TDE_1242 potentially critical for persistence. This is similar to how RSL24D1 supports sustained protein synthesis in human cells .
Solubility challenges with recombinant TDE_1242 can be addressed through systematic optimization:
Expression temperature screening (37°C, 30°C, 25°C, 18°C, 16°C)
Induction condition optimization (IPTG concentration, induction timing)
Solubility enhancement tags (MBP, SUMO, thioredoxin)
Buffer optimization for lysis and purification:
pH screening (6.5-8.5)
Salt concentration variation (100-500 mM NaCl)
Addition of stabilizing agents (glycerol 5-10%, arginine 50-100 mM)
Co-expression with bacterial chaperones (GroEL/GroES, DnaK/DnaJ/GrpE)
Each condition should be systematically tested and evaluated by SDS-PAGE analysis of soluble versus insoluble fractions. For refractory solubility issues, consider native purification from T. denticola or related organisms with appropriate epitope tags.
When facing contradictory results in TDE_1242 functional studies, researchers should implement a systematic troubleshooting approach:
Reagent validation: Ensure protein quality through multiple purity assessments and activity assays
Method validation: Verify assay reproducibility using positive and negative controls
Strain verification: Confirm T. denticola strain identity and rule out contamination
Complementary methodologies: Apply multiple independent techniques to assess the same functional aspect
Systematic parameter variation: Identify condition-dependent effects by varying experimental parameters (temperature, pH, ionic strength)
The RAMP method used in rRNA processing studies can be particularly valuable for resolving contradictory results, as it provides quantitative assessment of specific processing steps rather than relying on qualitative observations .
To detect subtle effects of TDE_1242 mutations on rRNA processing, researchers should employ sensitive quantitative methods:
High-resolution northern blotting with phosphorimager quantification, similar to methods used for RSL24D1 studies
Quantitative RT-PCR with multiple primer sets targeting different processing intermediates
Pulse-chase labeling with modified nucleotides to track processing kinetics
Next-generation sequencing approaches to map rRNA termini with single-nucleotide resolution
Time-course analyses to detect kinetic defects that might be missed in endpoint assays
Data analysis should include statistical comparisons across multiple experimental replicates and correlation analyses between processing defects and functional outcomes such as bacterial growth rates or virulence factor production.
Cell-free systems offer controlled environments to study TDE_1242's biochemical activities:
Reconstituted in vitro rRNA processing systems containing:
Purified recombinant TDE_1242
Pre-rRNA substrates (either synthetic or extracted from cells)
Necessary cofactors (ATP, GTP, Mg2+)
Additional processing factors as needed
Hybrid systems using:
Bacterial extract depleted of endogenous TDE_1242
Supplementation with recombinant wild-type or mutant TDE_1242
Labeled pre-rRNA substrates
Transcription-coupled processing systems:
RNA polymerase and transcription factors
rRNA processing factors including TDE_1242
Monitoring of co-transcriptional processing events
These systems can be analyzed using methods similar to those employed for studying RSL24D1, including northern blotting and RNA analysis techniques .
For developing high-throughput screens targeting TDE_1242, researchers should consider:
Activity-based screens:
Fluorescence-based assays measuring rRNA processing efficiency
FRET-based assays detecting TDE_1242 binding to pre-rRNA or protein partners
Scintillation proximity assays with radiolabeled substrates
Binding-based screens:
Thermal shift assays to identify compounds that alter TDE_1242 stability
Surface plasmon resonance to detect direct binding to TDE_1242
NMR-based fragment screening
Cell-based screens:
Counter-screens against human RSL24D1 should be implemented to identify bacterial-specific inhibitors with potential therapeutic applications.
When interpreting TDE_1242 knockout or depletion studies, researchers should consider:
Essential gene effects: If TDE_1242 is essential, complete knockout may be lethal, necessitating conditional depletion systems
Compensation mechanisms: Upregulation of functionally related proteins may mask phenotypes
Pleiotropic effects: Ribosome deficiency affects multiple cellular processes, making it challenging to distinguish direct from indirect effects
Time-dependent phenomena: Acute versus chronic depletion may yield different results
Growth condition dependence: Phenotypes may vary with different nutrient conditions or stress levels
Analytical approaches similar to those used for studying RSL24D1 depletion in human cells can be adapted, including northern blot analysis of pre-rRNA species, pulse-labeling experiments, and puromycin incorporation assays to measure global protein synthesis .