Recombinant Non-canonical purine NTP pyrophosphatase (SAV_5172)

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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 consult your local distributor for precise delivery estimates.
Note: All proteins are shipped with standard 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 consolidate 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 standard glycerol concentration is 50% and can be used as a reference.
Shelf Life
Shelf life depends on various factors including 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. Aliquot to prevent repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during the production process. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
SAV_5172dITP/XTP pyrophosphatase; EC 3.6.1.66; Non-canonical purine NTP pyrophosphatase; Non-standard purine NTP pyrophosphatase; Nucleoside-triphosphate diphosphatase; Nucleoside-triphosphate pyrophosphatase; NTPase
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-200
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Streptomyces avermitilis (strain ATCC 31267 / DSM 46492 / JCM 5070 / NBRC 14893 / NCIMB 12804 / NRRL 8165 / MA-4680)
Target Names
SAV_5172
Target Protein Sequence
MTRLILATRN AGKITELRAI LADAGLTHDL VGADAYPDIP DVKETGVTFA ENALLKAHAL ARATGLPAVA DDSGLCVDVL GGAPGIFSAR WSGRHGDDRA NLDLLLAQLS DISEAHRGAH FACAAALALP DGTERVVEGQ LRGTLRHTPT GTNGFGYDPV LQPEGETRTC AELSAEEKNA ISHRGKAFRE LVPVVRELLG
Uniprot No.

Target Background

Function
This pyrophosphatase hydrolyzes nucleoside triphosphates to their monophosphate derivatives, exhibiting a strong preference for non-canonical purine nucleotides such as XTP (xanthosine triphosphate), dITP (deoxyinosine triphosphate), and ITP. Its function appears to be the removal of these non-canonical purine nucleotides from the cellular nucleotide pool, preventing their incorporation into DNA/RNA and mitigating potential chromosomal damage.
Database Links
Protein Families
HAM1 NTPase family

Q&A

What is the primary function of non-canonical purine NTP pyrophosphatases?

Non-canonical nucleoside triphosphate pyrophosphatases (noncanonical NTPases) hydrolyze the phosphoanhydride bond of noncanonical nucleoside triphosphates such as inosine triphosphate (ITP), deoxyinosine triphosphate (dITP), or xanthosine triphosphate (XTP). This hydrolysis releases pyrophosphate and converts these molecules to their corresponding nucleoside monophosphates (IMP, dIMP, or XMP respectively) . Their primary role is to prevent the accumulation of these noncanonical nucleotides, which could otherwise be incorporated into DNA or RNA, potentially causing mutations or interfering with cellular processes that require ATP or GTP . These enzymes effectively discriminate between erroneous nucleotides and their canonical counterparts, earning them the designation of "house-cleaning enzymes" .

How do researchers distinguish between canonical and non-canonical NTPase activity?

Researchers employ several methodological approaches to distinguish between canonical and non-canonical NTPase activity. The primary method involves comparative enzyme kinetic assays using both types of substrates. For instance, when studying TM0159 (a homologous enzyme), researchers observed that it readily converted noncanonical nucleoside triphosphates (ITP, dITP, XTP) to their corresponding monophosphates while releasing pyrophosphate, but showed no significant activity toward canonical nucleoside triphosphates such as ATP and GTP . This distinction is typically confirmed using multiple analytical techniques, including colorimetric assays that detect pyrophosphate release, thin-layer chromatography, and high-performance liquid chromatography to identify reaction products . The absence of detectable activity with canonical substrates under identical experimental conditions provides compelling evidence for substrate specificity.

What structural features are typically conserved in non-canonical purine NTP pyrophosphatases?

Non-canonical purine NTP pyrophosphatases share several conserved structural features that are critical for their function. Based on the crystal structure of TM0159 at 2.15 Å resolution, these enzymes typically contain a well-conserved network of active site residues that facilitate substrate recognition and catalysis . The quaternary structure often shows a tetrameric arrangement with two possible dimer interfaces, one of which closely resembles the dimer interface found in other noncanonical nucleoside pyrophosphatases, including human ITPase and archaeal enzymes like Mj0226 and PhNTPase . This conservation of structural elements across diverse species from all three domains of life (bacteria, archaea, and eukarya) suggests their functional importance and evolutionary significance in nucleotide metabolism regulation.

What are the recommended experimental procedures for measuring SAV_5172 enzyme activity?

For measuring the enzymatic activity of recombinant SAV_5172, a multi-faceted approach is recommended to comprehensively characterize its function. Initially, researchers should employ a colorimetric pyrophosphate detection assay to verify the release of pyrophosphate rather than individual phosphate molecules. This requires the inclusion of appropriate controls with and without inorganic pyrophosphatase . This basic activity verification should be supplemented with high-performance liquid chromatography (HPLC) and thin-layer chromatography (TLC) to identify reaction products and confirm the conversion of noncanonical nucleoside triphosphates to their corresponding monophosphates.

Reaction conditions should be optimized by testing various parameters in a systematic data table format, as illustrated below:

ParameterVariables to TestMeasurement MethodExpected Outcome
pHRange 6.0-9.0 in 0.5 incrementsActivity measurement at fixed substrate concentrationDetermination of pH optimum, likely in alkaline range
Temperature25-80°C in 5°C incrementsActivity measurement at optimal pHTemperature profile and stability assessment
Divalent CationsMg²⁺, Mn²⁺, Ca²⁺, Zn²⁺ at 1-10 mMComparative activity measurementCofactor specificity, expected Mg²⁺ preference
Substrate SpecificityITP, dITP, XTP, ATP, GTP at varied concentrationsMichaelis-Menten kineticsK<sub>m</sub> and k<sub>cat</sub> values for each substrate

The kinetic parameters should be determined using Michaelis-Menten analysis to generate a complete profile of the enzyme's catalytic efficiency toward different substrates.

How should researchers design expression and purification protocols for recombinant SAV_5172?

When designing expression and purification protocols for recombinant SAV_5172, researchers should adopt a systematic approach that considers the characteristics of noncanonical NTPases. Based on successful strategies used with similar enzymes, the gene encoding SAV_5172 should first be PCR-amplified and cloned into an appropriate expression vector containing an affinity tag (typically His-tag) for purification purposes. For expression, both prokaryotic (E. coli) and eukaryotic systems should be evaluated to determine optimal protein yield and solubility.

For bacterial expression, the following methodological approach is recommended:

  • Transform the construct into an expression strain optimized for protein production (e.g., BL21(DE3))

  • Test multiple induction conditions using a structured experimental design:

    • IPTG concentration (0.1-1.0 mM)

    • Induction temperature (15°C, 25°C, 37°C)

    • Induction duration (4-24 hours)

  • Evaluate protein solubility through SDS-PAGE analysis of soluble and insoluble fractions

  • Implement a multi-step purification protocol:

    • Initial IMAC (immobilized metal affinity chromatography) using the affinity tag

    • Secondary ion-exchange chromatography for higher purity

    • Final size-exclusion chromatography to ensure homogeneity and determine oligomeric state

Protein quality should be assessed at each step using activity assays and thermal stability measurements. For quaternary structure determination, analytical ultracentrifugation and native PAGE can provide insights comparable to those obtained for related enzymes like TM0159 .

What data analysis approaches are most effective for interpreting kinetic measurements of SAV_5172?

Effective data analysis for kinetic measurements of SAV_5172 requires a multi-faceted approach that combines traditional enzyme kinetics with advanced statistical methods. The primary analysis should focus on determining standard Michaelis-Menten parameters (K<sub>m</sub>, V<sub>max</sub>, k<sub>cat</sub>, and k<sub>cat</sub>/K<sub>m</sub>) for each substrate through nonlinear regression fitting of initial velocity data. This provides fundamental insights into substrate preference and catalytic efficiency.

For more sophisticated analysis, researchers can employ factor analysis, a statistical technique for data reduction that can identify underlying patterns in complex datasets . This approach is particularly valuable when comparing SAV_5172 activity across multiple conditions and substrates, allowing the identification of key variables that influence enzyme behavior.

A complementary approach integrates computational modeling with experimental data. Artificial Neural Network (ANN) modeling can be particularly effective for predicting enzymatic behavior under conditions not directly tested . This method requires:

  • Collection of a comprehensive training dataset covering various experimental conditions

  • Selection of appropriate network architecture and training algorithms

  • Validation using a separate experimental dataset

  • Application of the model to predict optimal conditions or substrate specificity

For visual representation and pattern recognition, multivariate statistical methods such as principal component analysis can help identify relationships between enzyme activity and experimental variables that might not be apparent from direct examination of the raw data.

How do mutations in the active site affect substrate specificity of non-canonical NTPases?

The substrate specificity of non-canonical NTPases is primarily determined by a network of conserved active site residues that create a precise molecular environment for substrate recognition and catalysis. Structure-function studies of related enzymes, such as TM0159, have revealed intricate interactions within the active site that enable these enzymes to discriminate between noncanonical nucleotides (ITP, dITP, XTP) and their canonical counterparts (ATP, GTP) .

To investigate how mutations affect substrate specificity, researchers should employ site-directed mutagenesis targeting conserved active site residues identified through structural studies and sequence alignments. For each mutant enzyme, a comprehensive kinetic characterization should be performed across multiple substrates to quantify changes in catalytic parameters.

A systematic approach would include:

  • Identification of conserved residues through multiple sequence alignment of SAV_5172 with characterized noncanonical NTPases

  • Design of single and multiple amino acid substitutions based on:

    • Conservation across species

    • Predicted roles in substrate binding or catalysis

    • Structural proximity to bound substrates in crystallographic models

  • Production of mutant enzymes following standardized expression and purification protocols

  • Detailed kinetic analysis comparing wild-type and mutant enzymes using the substrate panel:

Enzyme VariantSubstrateK<sub>m</sub> (μM)k<sub>cat</sub> (s<sup>-1</sup>)k<sub>cat</sub>/K<sub>m</sub> (M<sup>-1</sup>s<sup>-1</sup>)Relative Specificity
Wild-typeITPTo be determinedTo be determinedTo be determined1.00 (reference)
Wild-typedITPTo be determinedTo be determinedTo be determinedTo be calculated
Wild-typeXTPTo be determinedTo be determinedTo be determinedTo be calculated
Mutant AITPTo be determinedTo be determinedTo be determinedTo be calculated
Mutant AdITPTo be determinedTo be determinedTo be determinedTo be calculated
Mutant AXTPTo be determinedTo be determinedTo be determinedTo be calculated

The relationships between structural alterations and functional changes should be interpreted in the context of available crystal structures, potentially supplemented with molecular dynamics simulations to understand the dynamic aspects of enzyme-substrate interactions.

What is the evolutionary significance of non-canonical NTPases across different species?

The evolutionary significance of non-canonical NTPases lies in their crucial role in maintaining nucleotide pool quality across all domains of life. These enzymes have been identified in diverse species from bacteria (including the SAV_5172 from Streptomyces and TM0159 from Thermotoga maritima), archaea (Mj0226 from Methanococcus jannaschii and PhNTPase from Pyrococcus horikoshii), and eukarya (human ITPase) . This broad distribution suggests an ancient evolutionary origin and fundamental importance in cellular metabolism.

To investigate the evolutionary relationships between these enzymes, researchers should employ a comprehensive phylogenetic analysis approach that integrates:

  • Sequence-based phylogeny:

    • Multiple sequence alignment of all known noncanonical NTPases

    • Construction of phylogenetic trees using maximum likelihood or Bayesian methods

    • Statistical evaluation of tree reliability through bootstrap analysis

  • Structure-based comparisons:

    • Superposition of available crystal structures

    • Identification of conserved structural elements across evolutionary distance

    • Analysis of dimer and tetramer interfaces which show strong conservation in this enzyme family

  • Functional conservation assessment:

    • Comparative enzyme kinetics across representative species

    • Substrate preference patterns and their correlation with phylogenetic distance

    • Complementation experiments to test functional interchangeability

The conservation of both structural elements (particularly dimer interfaces) and functional properties (preference for noncanonical substrates) across diverse species suggests strong evolutionary selection pressure to maintain these "house-cleaning" activities throughout cellular evolution .

How does the oligomeric state of SAV_5172 influence its catalytic activity?

The oligomeric state of noncanonical NTPases is a critical determinant of their catalytic function. Crystal structures of related enzymes, such as TM0159, reveal tetrameric arrangements with two potential dimer interfaces, one of which strongly resembles interfaces found in other noncanonical nucleoside pyrophosphatases . This structural conservation suggests functional significance of quaternary structure in enzyme activity.

To investigate the relationship between oligomeric state and catalytic activity of SAV_5172, researchers should employ a multidisciplinary approach:

  • Quaternary structure determination:

    • Size-exclusion chromatography coupled with multi-angle light scattering (SEC-MALS)

    • Analytical ultracentrifugation to determine sedimentation coefficients

    • Native mass spectrometry to precisely determine oligomeric composition

  • Interface disruption studies:

    • Identification of key interface residues through structural analysis or homology modeling

    • Site-directed mutagenesis targeting these interface residues

    • Characterization of resulting variants' oligomeric states and catalytic activities

  • Cross-linking experiments:

    • Chemical cross-linking to stabilize native oligomeric forms

    • Comparison of activity between cross-linked and non-cross-linked preparations

    • Mass spectrometric analysis of cross-linked peptides to map interface contacts

The resulting data should be compiled to establish clear correlations between quaternary structure stability and catalytic parameters. If dimer interface mutations disrupt both oligomerization and activity, this would provide strong evidence for the functional importance of specific quaternary arrangements in SAV_5172, similar to what has been observed in other noncanonical NTPases .

How can non-canonical NTPases be utilized in biotechnological applications?

Non-canonical NTPases like SAV_5172 offer significant potential for biotechnological applications due to their specific ability to discriminate between noncanonical and canonical nucleoside triphosphates. These enzymes function as highly selective molecular filters that can purify nucleotide pools, which has immediate applications in several biotechnological contexts:

  • Enhancing PCR fidelity:

    • Addition of purified noncanonical NTPase to PCR reactions can reduce incorporation of mutagenic noncanonical nucleotides

    • This application requires optimization of enzyme concentration to balance nucleotide pool cleaning with preservation of canonical dNTPs

  • Improving in vitro transcription/translation systems:

    • Pretreatment of nucleotide pools with noncanonical NTPases can enhance the accuracy of cell-free protein synthesis

    • This approach requires careful kinetic characterization to determine optimal treatment conditions

  • Analytical applications:

    • Development of specific assays for detecting damaged nucleotides in biological samples

    • Using the enzyme's activity as a reporter system for oxidative stress measurement

  • Structural biology tools:

    • Purification of nucleotide solutions for crystallography experiments

    • Removal of noncanonical nucleotides that might interfere with nucleic acid structure determination

To develop these applications, researchers should systematically characterize the enzyme's stability and activity under various buffer conditions relevant to biotechnological processes. Immobilization strategies should also be explored to create reusable enzyme columns for nucleotide purification, with retention of specificity being a key parameter to monitor.

What experimental approaches are most effective for studying inhibitors of SAV_5172?

To effectively study inhibitors of SAV_5172, researchers should implement a comprehensive screening and characterization workflow that combines high-throughput initial screening with detailed mechanistic studies. The experimental approach should include:

  • Initial inhibitor screening:

    • Development of a miniaturized assay suitable for high-throughput screening

    • Primary screen using diverse chemical libraries at a single concentration

    • Secondary dose-response confirmation of initial hits

  • Inhibition mechanism characterization:

    • Determination of IC<sub>50</sub> values through dose-response curves

    • Kinetic studies to distinguish between competitive, noncompetitive, and uncompetitive inhibition

    • Calculation of inhibition constants (K<sub>i</sub>) for promising compounds

  • Structure-activity relationship analysis:

    • Testing of structural analogs to identify key pharmacophore features

    • Correlation of chemical features with inhibitory potency

    • Iterative optimization of inhibitor structures based on activity data

  • Binding studies:

    • Isothermal titration calorimetry to determine thermodynamic parameters of binding

    • Surface plasmon resonance for real-time binding kinetics

    • Crystallographic studies of enzyme-inhibitor complexes when possible

Data from these experiments should be organized in comprehensive tables that facilitate comparison across different inhibitors:

InhibitorIC<sub>50</sub> (μM)Inhibition TypeK<sub>i</sub> (μM)Binding ΔG (kJ/mol)Structural Class
Compound 1To be determinedTo be determinedTo be determinedTo be determinedTo be determined
Compound 2To be determinedTo be determinedTo be determinedTo be determinedTo be determined
Compound 3To be determinedTo be determinedTo be determinedTo be determinedTo be determined

The most promising inhibitors should then be evaluated for selectivity against other related and unrelated enzymes to assess their specificity profile.

What are the recommended controls and validation steps for SAV_5172 enzymatic assays?

Rigorous controls and validation steps are essential for ensuring the reliability and reproducibility of SAV_5172 enzymatic assays. A comprehensive validation approach should include:

  • Enzyme quality controls:

    • SDS-PAGE analysis to confirm purity (>95%)

    • Mass spectrometry verification of protein identity

    • Thermal stability assessment via differential scanning fluorimetry

    • Activity measurement of each purification batch against a standard substrate

  • Assay-specific controls:

    • No-enzyme controls to establish background rates

    • Heat-inactivated enzyme controls to distinguish enzymatic from non-enzymatic reactions

    • Positive controls using well-characterized related enzymes (e.g., TM0159)

    • For colorimetric assays, verification with secondary methods like HPLC

  • Substrate verification:

    • Purity analysis of nucleotide substrates prior to use

    • Storage stability assessment of nucleotides under assay conditions

    • Testing for potential contaminants that might affect results

  • Methodological validation:

    • Linearity assessment across enzyme concentration range

    • Time-course studies to ensure measurements within initial velocity range

    • Reproducibility evaluation through multiple independent experiments

    • Comparison of results across different detection methods

The pyrophosphate detection assay requires particular attention to validation, as it involves coupled enzymatic reactions. Control experiments must include assays with and without inorganic pyrophosphatase to confirm that phosphate production occurs only through pyrophosphate release rather than direct phosphate release . This distinction is crucial for confirming the mechanism of noncanonical NTPases.

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