Recombinant Rhodopseudomonas palustris tRNA pseudouridine synthase A (truA)

Shipped with Ice Packs
In Stock

Description

Molecular Characterization

The truA gene in R. palustris (UniProt ID: P61415) encodes a 203-amino acid protein with a predicted molecular weight of ~23 kDa. Recombinant TruA is typically expressed in Escherichia coli with an N-terminal His-tag for purification (Figure 1) . Key features include:

PropertyDetail
Gene locusRPA0307
Protein length1–203 amino acids
Expression systemE. coli BL21(DE3)
TagHexahistidine (His-tag)
Catalytic residuesConserved aspartate (Asp90/Thr92 in homologs)
Substrate specificitytRNA anticodon stem-loop (ASL) at position 38–40

Functional Roles in Bacterial Physiology

Recombinant TruA’s enzymatic activity has implications for:

  • Translational accuracy: Ψ38/39 modifications in tRNA enhance ribosomal A-site binding, reducing frameshift errors .

  • Stress tolerance: In Pseudomonas species, TruA deficiency increases mutation frequency 3–5×, likely due to destabilized tRNA-ribosome interactions under oxidative stress .

  • Metabolic regulation: TruA homologs in Streptococcus mutans influence ATP synthesis and acid tolerance via interactions with NAD kinase (ppnK) and phosphotransacetylase (pta) operons .

Biotechnological Applications

  • Protein engineering: The R. palustris TruA expression system (e.g., pJL105-derived vectors) enables high-yield production for structural studies .

  • Gene editing tools: Suicide plasmids (e.g., pΔcat) with sacB counter-selection markers facilitate precise genomic modifications in R. palustris, aiding TruA functional studies .

  • Industrial relevance: Engineered TruA variants could optimize microbial hosts for synthetic biology by enhancing translational efficiency under stress .

Research Gaps and Future Directions

  • Structural data: A resolved cryo-EM structure of R. palustris TruA-tRNA complexes is needed to clarify species-specific substrate recognition .

  • In vivo roles: The enzyme’s impact on R. palustris’ metabolic versatility (e.g., photoheterotrophy) remains unexplored .

  • Therapeutic potential: TruA inhibitors could target pathogenic bacteria relying on Ψ modifications for stress survival .

Product Specs

Form
Lyophilized powder. We will ship the format we have in stock. If you have special format requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery time varies based on purchase method and location. Consult your local distributor for specific delivery times. All proteins are shipped with blue ice packs by default. For dry ice shipping, please contact us in advance; additional charges will apply.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50% for your reference.
Shelf Life
Shelf life depends on storage conditions, buffer components, storage temperature, and protein stability. Generally, the liquid form has a 6-month shelf life at -20°C/-80°C, while the lyophilized form has a 12-month shelf life at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during production. If you require a specific tag, please inform us, and we will prioritize developing it.
Synonyms
truA; RPA0623; tRNA pseudouridine synthase A; EC 5.4.99.12; tRNA pseudouridine(38-40) synthase; tRNA pseudouridylate synthase I; tRNA-uridine isomerase I
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-248
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Rhodopseudomonas palustris (strain ATCC BAA-98 / CGA009)
Target Names
truA
Target Protein Sequence
MSRMPRYKLT IEYDGAPFCG WQLQPALPSV QGALEAAALA TCGEAVRVHG AGRTDAGVHA LGQVAHVDIP KPFRADKLRD ALNAHLRPNP VAVLAAEIVP DTFEARFSAV RRHYRYRIAN RRSNLALDLG KVWRVPKPLD TDAMHRAAQV LIGKHNFTTF RDTECQAASP EKTLDVLDVI RDGDAVDIIT NARSYLHSQV RSMVGSLVWV GEGRWTADDL AAALAARRRS ACGPVAPPEG LYLMQVDY
Uniprot No.

Target Background

Function
Forms pseudouridine at positions 38, 39, and 40 in the anticodon stem and loop of transfer RNAs.
Database Links

KEGG: rpa:RPA0623

STRING: 258594.RPA0623

Protein Families
TRNA pseudouridine synthase TruA family

Q&A

What is tRNA pseudouridine synthase A (truA) and what is its role in Rhodopseudomonas palustris?

tRNA pseudouridine synthase A (truA) is an enzyme responsible for catalyzing the isomerization of uridine to pseudouridine at positions 38, 39, and 40 in the anticodon stem-loop of tRNAs. In Rhodopseudomonas palustris, truA plays a critical role in maintaining proper tRNA structure and function, which is essential for accurate translation during protein synthesis. The enzyme contains conserved catalytic domains that coordinate the base flipping and isomerization reaction without breaking the glycosidic bond. Due to its importance in maintaining translational fidelity, truA is considered essential for bacterial adaptation and survival under various environmental conditions.

What expression systems are recommended for producing recombinant R. palustris truA?

E. coli expression systems are typically recommended for producing recombinant R. palustris truA due to their efficiency and established protocols. Based on recombinant protein production methods for similar R. palustris proteins, E. coli is the preferred heterologous expression host . For optimal expression, consider the following approach:

  • Clone the full-length truA gene into an expression vector containing an N-terminal His-tag for purification purposes

  • Transform into an E. coli strain optimized for recombinant protein expression (BL21(DE3) or similar)

  • Induce expression with IPTG at lower temperatures (16-25°C) to enhance proper folding

  • Harvest cells and purify using nickel affinity chromatography followed by size exclusion chromatography

This method typically yields protein with greater than 90% purity as determined by SDS-PAGE, similar to other recombinant R. palustris proteins .

What are the optimal storage conditions for recombinant R. palustris truA?

For maximum stability and activity retention of recombinant R. palustris truA, implement the following storage protocol:

Storage ConditionRecommendationDuration
Short-term4°CUp to one week
Long-term-20°C/-80°CSeveral months to years
BufferTris/PBS-based buffer, 6% Trehalose, pH 8.0-
ReconstitutionDeionized sterile water (0.1-1.0 mg/mL)-
Stabilizer5-50% glycerol (final concentration)-

Avoid repeated freeze-thaw cycles as they can significantly reduce enzymatic activity . For working aliquots, store at 4°C for up to one week. When preparing from lyophilized powder, briefly centrifuge the vial before opening to bring contents to the bottom, and reconstitute as described above. Aliquoting is necessary for multiple use to prevent protein degradation.

How can I verify the structure and integrity of purified recombinant truA?

To verify the structure and integrity of purified recombinant truA, employ a multi-method approach:

A properly folded and functional truA protein should display characteristic spectroscopic properties and enzymatic activity toward its target tRNA substrates. Compare obtained data with published structural information on pseudouridine synthases to confirm proper folding.

What true experimental design approaches are most effective for studying the catalytic mechanism of recombinant R. palustris truA?

A rigorous true experimental design is essential for elucidating the catalytic mechanism of R. palustris truA. Implement the following approach:

  • Random assignment of experimental conditions: Ensure all reaction variables and controls are randomly distributed to eliminate bias

  • Control groups establishment: Include appropriate negative controls (no enzyme, catalytically inactive mutant) and positive controls (well-characterized pseudouridine synthase)

  • Independent variable manipulation: Systematically vary substrate concentration, reaction time, pH, temperature, and cofactors

Experimental workflow should include:

PhaseMethodologyKey Measurements
Pre-steady state kineticsRapid quench-flow techniquesRate constants for individual steps
Steady-state kineticsSpectrophotometric assaysKm, kcat, catalytic efficiency
Structure-function analysisTargeted mutagenesis of predicted catalytic residuesActivity of mutant proteins
Substrate binding studiesIsothermal titration calorimetryBinding affinity, thermodynamics
Product analysisHPLC, mass spectrometryPseudouridine formation confirmation

This comprehensive approach allows for determination of rate-limiting steps and key catalytic residues. Random assignment of experimental conditions is crucial for establishing true cause-effect relationships between experimental variables and observed enzymatic activity .

How can I develop an efficient purification protocol for obtaining high-yield crystallization-grade recombinant truA?

Developing an efficient purification protocol for crystallization-grade recombinant truA requires a systematic approach to maximize yield, purity, and homogeneity:

  • Initial capture: After expression in E. coli, lyse cells using sonication or French press in a buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, and protease inhibitors

  • IMAC purification: Apply clarified lysate to Ni-NTA resin, wash extensively, and elute with an imidazole gradient (50-250 mM)

  • Tag removal: If crystal structure determination is the goal, consider removing the His-tag using a specific protease

  • Polishing step: Apply to size exclusion chromatography column equilibrated in crystallization buffer (typically 20 mM Tris-HCl pH 7.5, 150 mM NaCl, 1 mM DTT)

  • Concentration: Concentrate to 10-15 mg/mL using appropriate molecular weight cutoff concentrators

  • Quality control: Verify monodispersity using dynamic light scattering

For storage prior to crystallization trials, avoid repeated freeze-thaw cycles and consider flash-freezing aliquots in liquid nitrogen. For initial crystallization trials, employ sparse matrix screens at multiple protein concentrations (5-15 mg/mL) and temperatures (4°C and 20°C). Monitor protein stability throughout using activity assays to ensure function is maintained during purification.

What methods can be used to characterize the substrate specificity of R. palustris truA?

To comprehensively characterize the substrate specificity of R. palustris truA, implement a multi-faceted approach:

  • In vitro transcript analysis:

    • Generate in vitro transcripts of various tRNAs from R. palustris

    • Incubate purified truA with each substrate under standardized conditions

    • Analyze pseudouridine formation using CMC (N-cyclohexyl-N'-(2-morpholinoethyl)carbodiimide) modification followed by primer extension or mass spectrometry

  • Comparative sequence analysis:

    • Perform multiple sequence alignment of R. palustris tRNAs

    • Identify common structural or sequence motifs at positions 38-40 of the anticodon stem-loop

    • Generate consensus recognition elements

  • Mutagenesis studies:

    • Create point mutations in substrate tRNAs at key positions

    • Measure modification efficiency compared to wild-type substrates

    • Map the recognition elements required for efficient modification

  • Structure-based analysis:

    • Perform molecular docking of tRNA substrates to truA model

    • Identify potential contact points between enzyme and substrate

    • Validate these interactions through site-directed mutagenesis

Present data in a comprehensive table showing modification efficiency for each tRNA substrate, highlighting position-specific preferences and structural requirements for optimal activity.

How can site-directed mutagenesis be utilized to investigate the catalytic mechanism of R. palustris truA?

Site-directed mutagenesis represents a powerful approach to investigating the catalytic mechanism of R. palustris truA. Based on sequence analysis and structural predictions, the following strategy is recommended:

  • Identify catalytic residues: Based on sequence alignment with other pseudouridine synthases, identify conserved residues likely involved in catalysis (typically aspartic acid residues in the active site)

  • Design mutagenesis strategy:

    • Conservative mutations (e.g., D→N) to maintain structure while eliminating catalytic function

    • Radical mutations (e.g., D→A) to completely remove functional groups

    • Double/triple mutations to test cooperativity between residues

  • Expression and purification: Express and purify mutant proteins under identical conditions to wild-type enzyme

  • Structural integrity verification: Confirm proper folding of mutants using circular dichroism and thermal stability assays

  • Activity assays: Measure pseudouridylation activity of each mutant

Mutation TypePurposeExpected Outcome
Active site residuesTest direct catalytic involvementSignificant activity reduction
Substrate binding residuesTest contribution to substrate recognitionAltered Km, minimal effect on kcat
Structural residuesTest contribution to active site architecturePotential global structure destabilization

Correlate obtained results with structural models and existing knowledge about pseudouridine synthase mechanisms to propose a detailed catalytic mechanism for R. palustis truA. This approach allows for systematic investigation of each amino acid's role in the enzyme's function.

What are the most effective methods for studying truA-mediated tRNA modification in vivo in R. palustris?

To study truA-mediated tRNA modification in vivo in R. palustris, implement the following comprehensive approach:

This comprehensive approach combines genetic, biochemical, and physiological methods to understand the in vivo significance of truA-mediated modifications in R. palustris, providing insights into both mechanism and biological function of this important enzyme.

What strategies can improve the solubility of recombinant R. palustris truA during expression?

Enhancing the solubility of recombinant R. palustris truA during heterologous expression requires systematic optimization of multiple parameters:

  • Expression temperature modulation:

    • Lower the induction temperature to 16-20°C

    • Extend expression time (overnight) to compensate for slower protein synthesis

    • This approach often significantly reduces inclusion body formation

  • Fusion tag selection:

    • While His-tags are common for purification , consider solubility-enhancing fusion partners

    • MBP (maltose-binding protein) often dramatically increases solubility

    • SUMO tag can improve folding and can be precisely removed

  • Expression host optimization:

    • Test specialized E. coli strains (Rosetta for rare codons, Arctic Express for low-temperature folding)

    • Co-express molecular chaperones (GroEL/GroES, DnaK, DnaJ) to assist proper folding

    • Consider auto-induction media for gentler protein expression

  • Buffer optimization:

    • Identify optimal buffer composition through systematic screening

    • Include stabilizing agents similar to storage conditions (Tris/PBS-based buffer with 6% Trehalose)

    • Test additives like arginine, glutamic acid, or specific ions that may stabilize the protein

  • Construct design optimization:

    • Create truncated constructs based on domain analysis

    • Perform disorder prediction and remove highly disordered regions

    • Consider codon optimization for the expression host

Implementation of these strategies should proceed systematically, changing one variable at a time while monitoring expression levels and solubility through SDS-PAGE analysis of soluble versus insoluble fractions.

How can I develop a high-throughput assay for measuring truA enzymatic activity?

Developing a high-throughput assay for truA enzymatic activity requires careful consideration of detection methods and assay design:

  • Fluorescence-based detection:

    • Synthesize tRNA substrates with fluorescent labels near the modification site

    • Measure fluorescence changes upon pseudouridylation (due to local structure alterations)

    • Adapt to 96 or 384-well plate format for high-throughput screening

  • Coupled enzyme assay:

    • Design a system where pseudouridine formation is coupled to a secondary reaction

    • The secondary reaction should produce a chromogenic or fluorogenic product

    • Optimize reaction conditions for linear response

  • Antibody-based detection:

    • Develop antibodies specific for pseudouridine in RNA

    • Implement ELISA-type detection of pseudouridylation products

    • Optimize for minimum cross-reactivity with unmodified substrates

  • Mass spectrometry adaptation:

    • Develop MALDI-TOF protocols for rapid detection of pseudouridylated versus unmodified substrates

    • Implement automated sample preparation and analysis

  • Validation and implementation:

    • Verify assay with known inhibitors or catalytically inactive mutants

    • Determine Z-factor to assess assay quality

    • Implement positive and negative controls on each plate

Assay TypeAdvantagesLimitationsThroughput
Fluorescence-basedReal-time monitoring, high sensitivityPotential interference from compoundsVery high (>10,000 assays/day)
Coupled enzymeAmplified signal, versatile detectionPotential false positives from secondary reaction inhibitionHigh (1,000-10,000 assays/day)
Antibody-basedHigh specificity, established protocolsTime-consuming, expensive reagentsMedium (100-1,000 assays/day)
Mass spectrometryDirect detection, high accuracyEquipment cost, lower throughputLow-medium (50-500 assays/day)

The optimal choice depends on available equipment, required throughput, and the specific research questions being addressed.

What structural features distinguish R. palustris truA from pseudouridine synthases in other bacterial species?

The structural features distinguishing R. palustris truA from pseudouridine synthases in other bacterial species can be systematically analyzed:

  • Primary sequence analysis:

    • Sequence alignment reveals conservation patterns specific to R. palustris

    • Identification of unique insertions or deletions compared to other bacterial truA enzymes

    • Analysis of the full 203-amino acid sequence for distinctive motifs

  • Catalytic domain organization:

    • R. palustris truA contains the characteristic catalytic domain with conserved aspartic acid residues

    • Analysis of the N-terminal region for unique structural elements

    • Identification of the pseudouridine synthase catalytic fold

  • Substrate binding pocket:

    • Comparative analysis of residues lining the tRNA binding cleft

    • Identification of species-specific residues that may confer unique substrate preferences

    • Analysis of electrostatic surface potential differences

  • Comparative structural modeling:

    • Generate homology models based on known pseudouridine synthase structures

    • Identify R. palustris-specific structural elements

    • Analyze differences in loop regions and surface-exposed residues

The amino acid sequence of R. palustris truA suggests membrane-associated properties with potential transmembrane regions, as indicated by the hydrophobic stretches in its sequence . This feature may represent a significant distinction from pseudouridine synthases of other bacterial species and could indicate unique localization or substrate accessibility mechanisms in R. palustris.

How does the catalytic efficiency of recombinant R. palustris truA compare with truA from other bacterial sources?

To systematically compare the catalytic efficiency of recombinant R. palustris truA with truA from other bacterial sources, the following comprehensive analysis should be performed:

  • Standardized kinetic parameter determination:

    • Measure kcat, Km, and kcat/Km using identical substrates and conditions

    • Determine temperature and pH optima for each enzyme

    • Assess metal ion dependencies and cofactor requirements

  • Substrate spectrum analysis:

    • Test activity on a panel of tRNA substrates from different sources

    • Determine position specificity (positions 38, 39, 40) for each enzyme

    • Quantify relative modification efficiency for each position

  • Preparation of comparative data table:

Bacterial Sourcekcat (s⁻¹)Km (μM)kcat/Km (M⁻¹s⁻¹)Temperature OptimumpH OptimumPosition Preference
R. palustris[value][value][value][value][value][38/39/40 ratio]
E. coli[value][value][value][value][value][38/39/40 ratio]
B. subtilis[value][value][value][value][value][38/39/40 ratio]
[Other species][value][value][value][value][value][38/39/40 ratio]
  • Structure-function correlation:

    • Correlate observed kinetic differences with structural features

    • Identify key residues that may contribute to different catalytic properties

    • Perform site-directed mutagenesis to test hypotheses about species-specific differences

This comprehensive comparison provides insights into evolutionary adaptations of truA enzymes and may reveal specific advantages of the R. palustris enzyme for certain applications or under particular conditions.

What is the impact of temperature and pH on the stability and activity of recombinant R. palustris truA?

The impact of temperature and pH on recombinant R. palustris truA stability and activity should be systematically characterized:

  • Temperature stability profile:

    • Measure thermal denaturation using differential scanning fluorimetry

    • Determine melting temperature (Tm) under various buffer conditions

    • Assess activity retention after incubation at different temperatures

    • Create thermal stability curves showing percent activity versus incubation temperature

  • Temperature-dependent activity:

    • Measure enzyme activity at temperatures ranging from 4°C to 70°C

    • Determine temperature optimum for catalytic activity

    • Calculate activation energy (Ea) using Arrhenius plot

  • pH-dependent stability:

    • Incubate enzyme at various pH values (pH 4-10) for defined time periods

    • Measure residual activity under standard conditions

    • Generate pH stability profile showing activity retention versus pH

  • pH-dependent activity:

    • Measure enzyme activity across pH range 4-10 using overlapping buffer systems

    • Determine pH optimum for catalytic activity

    • Identify key ionizable groups based on pH-activity profile

  • Combined effects analysis:

    • Generate 3D contour plots of activity as a function of both temperature and pH

    • Identify optimal conditions for maximum activity and stability

    • Determine storage conditions that maximize shelf-life

The obtained data should be presented as comprehensive stability and activity profiles, which are crucial for optimizing reaction conditions, storage protocols , and understanding the adaptive features of R. palustris truA relative to its natural environmental conditions.

How can recombinant R. palustris truA be utilized in synthetic biology applications?

Recombinant R. palustris truA offers several innovative applications in synthetic biology:

  • Engineered tRNA modification systems:

    • Incorporate R. palustris truA into synthetic tRNA modification pathways

    • Engineer organisms with expanded or altered tRNA modification patterns

    • Tune translation efficiency and fidelity through controlled pseudouridylation

  • Genetic code expansion:

    • Utilize truA-mediated tRNA modifications to enhance incorporation of non-canonical amino acids

    • Design synthetic tRNAs with optimized modification sites for improved decoding

    • Create organisms with enhanced capacity for incorporating synthetic amino acids

  • Environmental biosensors:

    • Develop biosensors where truA activity is coupled to reporter gene expression

    • Create systems detecting conditions relevant to R. palustris habitats

    • Implement in bioremediation applications targeting specific environmental conditions

  • Synthetic RNA regulatory systems:

    • Design RNA regulators whose function depends on pseudouridylation status

    • Create synthetic riboswitches that respond to pseudouridine modifications

    • Develop orthogonal regulatory systems based on controlled RNA modification

  • Protein production optimization:

    • Engineer expression systems with optimized tRNA modification profiles

    • Enhance recombinant protein production through targeted pseudouridylation

    • Improve translation of difficult coding sequences

Each application requires careful characterization of the R. palustris truA properties, including its substrate specificity, catalytic efficiency under various conditions, and compatibility with heterologous expression systems. The systematic experimental design approaches outlined earlier should be applied to validate each synthetic biology application.

What techniques can be used to analyze the global impact of truA activity on the R. palustris transcriptome and proteome?

To comprehensively analyze the global impact of truA activity on the R. palustris transcriptome and proteome, implement a multi-omics approach:

  • Pseudouridine-seq (Ψ-seq):

    • Treat RNA with CMC to mark pseudouridines

    • Perform next-generation sequencing to identify all modified positions

    • Compare wild-type and truA-deficient strains to identify truA-dependent modifications

    • Map modification sites across the transcriptome

  • Ribosome profiling:

    • Analyze ribosome positioning in wild-type and truA-deficient strains

    • Identify codons with altered translation efficiency or accuracy

    • Correlate with tRNA modifications at anticodon positions 38-40

    • Quantify ribosome pausing at specific sequence contexts

  • Quantitative proteomics:

    • Perform iTRAQ or TMT-based quantitative proteomics

    • Compare protein abundances between wild-type and truA-deficient strains

    • Identify proteins whose expression is most affected by truA activity

    • Analyze codon usage bias in affected genes

  • Transcriptome analysis:

    • Perform RNA-seq on wild-type and truA-deficient strains

    • Analyze differential gene expression patterns

    • Identify regulatory responses to altered tRNA modification

    • Investigate potential impacts on RNA stability

  • Integrative data analysis:

    • Correlate findings across multiple omics platforms

    • Identify key pathways and processes affected by truA activity

    • Develop network models of truA-dependent cellular processes

    • Generate testable hypotheses about the physiological role of truA

This comprehensive approach provides a systems-level understanding of how truA-mediated tRNA modifications influence gene expression and cellular physiology in R. palustris, extending beyond the direct effects on translation to capture global adaptive responses.

What are the critical considerations for designing inhibitors targeting R. palustris truA?

Designing effective and selective inhibitors targeting R. palustris truA requires systematic consideration of several critical factors:

  • Active site architecture analysis:

    • Identify catalytic residues through sequence alignment and homology modeling

    • Analyze the binding pocket for potential unique features compared to other pseudouridine synthases

    • Determine critical interactions with substrate tRNA

  • Inhibitor design strategies:

    • Substrate-competitive inhibitors: Design compounds mimicking the uridine substrate

    • Transition-state analogs: Create molecules resembling the reaction intermediate

    • Allosteric inhibitors: Target regulatory sites outside the active site

    • Covalent inhibitors: Design compounds that form irreversible bonds with active site residues

  • Selectivity considerations:

    • Compare active sites across different pseudouridine synthases

    • Target R. palustris-specific structural features identified earlier

    • Assess potential cross-reactivity with human pseudouridine synthases

    • Design screening cascades to identify selective compounds

  • Pharmacophore development:

    • Identify essential chemical features required for inhibition

    • Create 3D pharmacophore models based on substrate interactions

    • Validate models through testing of diverse chemical scaffolds

    • Refine models based on structure-activity relationships

  • In silico to in vitro workflow:

    • Perform virtual screening using developed pharmacophore models

    • Test top candidates using the high-throughput assay described previously

    • Determine structure-activity relationships

    • Optimize lead compounds for potency and selectivity

This systematic approach facilitates the development of inhibitors with high potency and selectivity for R. palustris truA, which could serve as valuable research tools for studying pseudouridylation functions and potentially as starting points for antimicrobial development against related bacterial enzymes.

What are the emerging technologies that could enhance our understanding of R. palustris truA function?

Several cutting-edge technologies are poised to revolutionize our understanding of R. palustris truA function:

  • Cryo-electron microscopy:

    • Determine high-resolution structures of truA-tRNA complexes

    • Visualize conformational changes during catalysis

    • Capture intermediates in the modification process

    • Eliminate the need for protein crystallization

  • Single-molecule FRET:

    • Monitor real-time conformational changes during truA-tRNA interactions

    • Determine binding kinetics at unprecedented resolution

    • Identify transient intermediates in the catalytic pathway

    • Characterize the dynamic nature of enzyme-substrate interactions

  • Time-resolved X-ray crystallography:

    • Capture snapshots of the catalytic mechanism

    • Visualize structural changes during the modification reaction

    • Generate movies of the enzymatic process

    • Identify transient catalytic states

  • Nanopore direct RNA sequencing:

    • Directly detect pseudouridine modifications in native RNA

    • Analyze modification patterns without chemical treatment

    • Perform long-read sequencing of modified tRNAs

    • Study modification dynamics in real-time

  • AlphaFold2 and structural prediction tools:

    • Generate highly accurate structural models of R. palustris truA

    • Predict enzyme-substrate complexes

    • Model conformational changes during catalysis

    • Guide rational design of experiments

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.