Recombinant Thermus thermophilus Elongation factor Tu (tuf1)

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Product Specs

Form
Lyophilized powder
Note: While we prioritize shipping the format currently in stock, please specify your format preference during order placement for customized preparation.
Lead Time
Delivery times vary depending on the purchasing method and location. Please contact your local distributor for precise delivery estimates.
Note: Standard shipping includes blue ice packs. Dry ice shipping requires prior arrangement and incurs additional charges.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our default glycerol concentration is 50% and can serve as a reference.
Shelf Life
Shelf life depends on several factors: storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
tuf1; TT_C1330;; tuf2; TT_C1734; Elongation factor Tu; EF-Tu
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-406
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Thermus thermophilus (strain HB27 / ATCC BAA-163 / DSM 7039)
Target Names
tuf1
Target Protein Sequence
MAKGEFIRTK PHVNVGTIGH VDHGKTTLTA ALTYVAAAEN PNVEVKDYGE IDKAPEERAR GITINTAHVE YETAKRHYSH VDCPGHADYI KNMITGAAQM DGAILVVSAA DGPMPQTREH ILLARQVGVP YIVVFMNKVD MVDDPELLDL VEMEVRDLLN QYEFPGDEVP VIRGSALLAL EQMHRNPKTR RGENEWVDKI WELLDAIDEY IPTPVRDVDK PFLMPVEDVF TITGRGTVAT GRIERGKVKV GDEVEIVGLA PETRKTVVTG VEMHRKTLQE GIAGDNVGVL LRGVSREEVE RGQVLAKPGS ITPHTKFEAS VYVLKKEEGG RHTGFFSGYR PQFYFRTTDV TGVVQLPPGV EMVMPGDNVT FTVELIKPVA LEEGLRFAIR EGGRTVGAGV VTKILE
Uniprot No.

Target Background

Function
This protein facilitates the GTP-dependent binding of aminoacyl-tRNA to the ribosomal A-site during protein biosynthesis.
Database Links
Protein Families
TRAFAC class translation factor GTPase superfamily, Classic translation factor GTPase family, EF-Tu/EF-1A subfamily
Subcellular Location
Cytoplasm.

Q&A

What is Thermus thermophilus Elongation Factor Tu (tuf1) and what is its biological significance?

Thermus thermophilus Elongation Factor Tu (tuf1) is one of two structural genes for elongation factor Tu identified in T. thermophilus through cross-hybridization with the tufA gene from E. coli. The gene is localized on a 6.6 kb Bam HI fragment and has been sequenced and confirmed through partial protein sequencing of authentic EF-Tu from T. thermophilus HB8 . Functionally, EF-Tu is a G protein that catalyzes the binding of aminoacyl-tRNA to the A-site of the ribosome during protein synthesis, representing a critical component of the translation machinery . The thermostable nature of this protein makes it particularly valuable for structural and functional studies of protein synthesis under extreme temperature conditions.

How is the genetic organization of tuf genes structured in Thermus thermophilus?

Thermus thermophilus possesses two structural genes encoding the elongation factor Tu protein. Based on cross-hybridization studies with E. coli tufA gene, researchers have identified and characterized these genes . The expression of one of these tuf genes in E. coli minicells has been demonstrated, although it produced only a low amount of immuno-precipitable thermophilic EF-Tu . This dual-gene arrangement is similar to that found in several other bacterial species, although the regulatory mechanisms and potential functional differences between the two tuf gene products in T. thermophilus require further investigation.

What are the structural and functional properties of T. thermophilus EF-Tu?

T. thermophilus EF-Tu is a multidomain G protein with distinctive structural and functional characteristics:

PropertyDescriptionReference
Molecular FunctionCatalyzes binding of aminoacyl-tRNA to ribosomal A-site
AbundanceOne of the most abundant bacterial proteins (up to 6% of total protein)
Nucleotide BindingContains identified guanosine-nucleotide binding domain
Structural FeaturesContains domains for GTP binding, aminoacyl-tRNA interaction, and ribosome binding
ThermostabilityMaintains functional activity at the high growth temperatures of T. thermophilus
ConservationShares homology with EF-Tu proteins from other organisms while having unique thermostable features

The identification of the guanosine-nucleotide binding domain through affinity labeling and sequence comparison with homologous proteins has provided important insights into the functional architecture of this protein .

How does T. thermophilus EF-Tu differ from EF-Tu in mesophilic organisms?

T. thermophilus EF-Tu exhibits several key differences from its mesophilic counterparts:

  • Thermostability: Adapted to function at the high growth temperatures of T. thermophilus (65-75°C), whereas mesophilic EF-Tu typically functions optimally around 37°C .

  • Sequence adaptations: Contains amino acid substitutions and structural modifications that enhance stability at elevated temperatures while maintaining functional activity .

  • Protein-protein interactions: Likely forms thermostable complexes with other components of the T. thermophilus translation machinery adapted to high-temperature environments.

  • Expression characteristics: When expressed heterologously in E. coli, produces only low amounts of immuno-precipitable protein, suggesting different folding or stability requirements .

  • Nucleotide binding characteristics: While the guanosine-nucleotide binding domain is conserved, its thermodynamic and kinetic properties may differ to accommodate function at high temperatures .

These differences make T. thermophilus EF-Tu particularly valuable for comparative studies of protein structure-function relationships across temperature adaptations.

What experimental approaches are optimal for expression and purification of recombinant T. thermophilus EF-Tu?

The expression and purification of recombinant T. thermophilus EF-Tu requires specialized methodological considerations to account for its thermophilic nature:

Expression Systems Comparison:

Expression SystemAdvantagesLimitationsOptimization Strategies
E. coli systemsWell-established protocols, high yield potentialChallenges with thermophilic protein foldingCodon optimization, co-expression with chaperones, reduced induction temperature
T. thermophilus homologous expressionNative folding environment, potential for higher activityMore complex growth conditions, fewer genetic toolsOptimization of growth media, temperature cycling protocols
Cell-free expression systemsRapid production, direct control over reaction conditionsHigher cost, potentially lower yieldsTemperature optimization, supplementation with stabilizing factors

Purification Strategy Recommendations:

  • Heat treatment step (65-75°C) to denature mesophilic host proteins while preserving T. thermophilus EF-Tu activity.

  • Affinity chromatography approaches utilizing the nucleotide-binding properties of EF-Tu.

  • Implementation of experimental design principles with systematic variable manipulation to optimize yield and purity .

  • Quality control assessments should include both activity assays and structural integrity verification at elevated temperatures.

Each expression and purification approach should be evaluated through a systematically designed experiment with clearly defined independent variables (expression conditions) and dependent variables (yield, purity, activity) .

How can researchers effectively analyze contradictory data in T. thermophilus EF-Tu research?

Contradictory data in T. thermophilus EF-Tu research presents significant challenges that require structured analytical approaches:

Contradiction Analysis Framework:

Applying the notation system proposed for contradiction patterns in biomedical data , researchers can approach contradictions in T. thermophilus EF-Tu data using the parameters:

  • α: number of interdependent data items

  • β: number of contradictory dependencies

  • θ: minimal number of required Boolean rules to assess contradictions

For example, contradictions between predicted thermostability and observed activity at different temperatures could be analyzed using this framework to determine the minimum number of Boolean rules needed to resolve the apparent conflict .

Methodological Approach to Resolving Contradictions:

  • Systematic categorization of contradictory observations using the (α, β, θ) classification system.

  • Identification of potential experimental variables that might explain contradictions.

  • Design of experiments with appropriate controls to test hypotheses about contradictory data .

  • Application of Boolean minimization techniques to reduce complex contradiction patterns to their simplest form .

  • Implementation of structured evaluation methods to handle complex interdependencies between multiple data points.

This structured approach to contradiction analysis can help researchers navigate complex datasets, particularly when integrating structural, functional, and sequence-based information about T. thermophilus EF-Tu.

What experimental design considerations are essential for studying the nucleotide binding domain of T. thermophilus EF-Tu?

Investigating the nucleotide binding domain of T. thermophilus EF-Tu requires careful experimental design:

Variable Identification and Control:

Variable TypeExamplesControl Strategies
Independent VariablesNucleotide concentration, temperature, pH, salt concentrationSystematic manipulation with appropriate ranges reflecting thermophilic conditions
Dependent VariablesBinding affinity, GTPase activity, conformational changesMultiple measurement techniques to cross-validate observations
Extraneous VariablesBuffer composition, protein preparation variability, contaminating nucleotidesStandardized protocols, multiple purification steps, appropriate blank controls

Experimental Design Framework:

  • Define clear research questions and hypotheses regarding nucleotide binding characteristics .

  • Implement true experimental design with appropriate control groups for each variable tested .

  • Utilize affinity labeling approaches similar to those described for identifying the guanosine-nucleotide binding domain .

  • Design experiments to distinguish between effects on binding affinity versus effects on subsequent conformational changes or GTPase activity.

  • Incorporate temperature as a critical variable given the thermophilic nature of the protein, with experiments conducted across a range of physiologically relevant temperatures.

These experimental design considerations ensure robust, reproducible data on the nucleotide binding characteristics of T. thermophilus EF-Tu.

How can T. thermophilus EF-Tu be utilized as a model for studying protein thermostability?

T. thermophilus EF-Tu serves as an excellent model system for investigating protein thermostability mechanisms:

Research Applications:

  • Comparative structural analysis between T. thermophilus EF-Tu and mesophilic homologs to identify stabilizing elements.

  • Mutational studies to identify critical residues contributing to thermostability while maintaining function.

  • Investigation of protein dynamics across temperature ranges to understand flexibility-stability relationships.

  • Analysis of protein-ligand interactions under extreme conditions to elucidate binding mechanisms at elevated temperatures.

Methodological Approach:

The study of T. thermophilus EF-Tu as a thermostability model requires a multifaceted experimental design :

  • Systematic mutation of residues unique to the thermophilic variant followed by thermal stability and functional assays.

  • Variable manipulation approach testing multiple environmental factors simultaneously (temperature, pH, ionic strength).

  • Controlled comparative studies between wild-type and mutant proteins with clearly defined dependent variables (melting temperature, activity half-life, conformational stability).

  • Integration of structural data with functional measurements to correlate molecular features with thermostability.

This approach has broader implications for protein engineering and biotechnological applications requiring thermostable proteins.

What is the role of T. thermophilus EF-Tu in DNA replication processes?

While EF-Tu is primarily known for its role in protein synthesis, research on related T. thermophilus proteins suggests potential additional functions:

The T. thermophilus Argonaute protein (TtAgo), another important protein in this organism, has been shown to participate in DNA replication in addition to its defense functions . By analogy, there may be unexplored secondary functions of T. thermophilus EF-Tu beyond its canonical role in translation.

Experimental Approaches to Investigate Potential DNA-Related Functions:

  • Protein-protein interaction studies to identify potential associations between EF-Tu and DNA replication machinery components.

  • Chromatin immunoprecipitation experiments to determine if EF-Tu associates with genomic DNA.

  • In vitro DNA binding assays under various nucleotide-bound states of EF-Tu.

  • Genetic studies examining potential synthetic phenotypes between EF-Tu mutations and DNA replication factor mutations.

Any experimental investigation should follow rigorous design principles with appropriate controls and systematic variable manipulation .

What methodological approaches are most effective for structural studies of T. thermophilus EF-Tu?

Structural analysis of T. thermophilus EF-Tu requires specialized methodological approaches:

Comparative Effectiveness of Structural Biology Techniques:

TechniqueAdvantages for T. thermophilus EF-TuMethodological Considerations
X-ray CrystallographyHigh resolution, captures stable conformationsEnhanced protein stability facilitates crystallization; multiple nucleotide-bound states should be attempted
Cryo-Electron MicroscopyVisualizes functional complexes with ribosomeLower resolution but captures biological context; ribosome complexes provide functional insights
NMR SpectroscopyProvides dynamic information in solutionSize limitations may require domain-by-domain approach; thermostability facilitates extended data collection
Small-Angle X-ray ScatteringCaptures solution conformation and dynamicsComplements high-resolution techniques; effective for monitoring conformational changes

Experimental Design Recommendations:

  • Implement factorial experimental designs testing multiple conditions simultaneously (protein concentration, buffer composition, temperature) .

  • Establish clear criteria for evaluating structural data quality and biological relevance.

  • Validate structural findings through functional assays that connect structural features to biological activity.

  • Systematically investigate different functional states (apo, GTP-bound, GDP-bound, aminoacyl-tRNA-bound).

The thermostable nature of T. thermophilus EF-Tu makes it particularly amenable to these structural studies, potentially providing insights not easily obtained with more labile mesophilic homologs.

How can computational approaches enhance understanding of T. thermophilus EF-Tu function and evolution?

Computational methods offer powerful tools for investigating T. thermophilus EF-Tu:

Computational Methodology Applications:

  • Molecular Dynamics Simulations:

    • Analysis of conformational stability at elevated temperatures

    • Identification of intramolecular networks contributing to thermostability

    • Examination of dynamics during nucleotide exchange and hydrolysis

  • Comparative Genomics and Evolutionary Analysis:

    • Identification of conserved residues across thermophilic EF-Tu variants

    • Evolutionary trajectory analysis from mesophilic to thermophilic adaptations

    • Coevolution analysis with interacting partners (tRNA, ribosomes)

  • Structure-Based Predictions:

    • In silico mutagenesis to predict stability changes

    • Protein-protein and protein-nucleic acid docking simulations

    • Energy landscape mapping across temperature ranges

Implementation Strategy:

Computational approaches should be designed following experimental design principles with:

  • Clear hypothesis formulation

  • Systematic parameter testing

  • Validation against experimental data

  • Handling of contradictions through structured analytical frameworks

Integration of computational predictions with experimental validation creates a powerful iterative approach to understanding the molecular basis of T. thermophilus EF-Tu function.

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