Recombinant Pseudomonas aeruginosa Methylthioribose-1-phosphate isomerase (mtnA)

Shipped with Ice Packs
In Stock

Product Specs

Form
Lyophilized powder. We will ship the in-stock format unless you specify a format preference when ordering.
Lead Time
Delivery times vary by purchase method and location. Consult your local distributor for specific delivery times. All proteins are shipped with blue ice packs by default. Request dry ice in advance for an extra fee.
Notes
Avoid repeated freezing and thawing. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute protein in sterile deionized water to 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%.
Shelf Life
Shelf life depends on storage conditions, buffer components, temperature, and protein stability. Liquid form is generally stable for 6 months at -20°C/-80°C. Lyophilized form is generally stable for 12 months 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
Tag type is determined during manufacturing. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
mtnA; PSPA7_1960; Methylthioribose-1-phosphate isomerase; M1Pi; MTR-1-P isomerase; EC 5.3.1.23; S-methyl-5-thioribose-1-phosphate isomerase
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-358
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Pseudomonas aeruginosa (strain PA7)
Target Names
mtnA
Target Protein Sequence
MRERLLAAER VKAIEWRDGT LRLLDQRLLP QEEVWLDHGS AAEVAKAIRD MVVRGAPAIG ISAAYGIVLG ARARLARGGD WRTALEEDFR LLADSRPTAV NLFWALNRMR ERLERMKEGD RPLAVLEAEA ISIHDSDREA NLTMAQLGME LIRKQQSSPQ NILTHCNTGA LATGGFGTAL GVIRAAHLEG LVNRIHADET RPWLQGSRLT AWELANEGIP VSLNVDSAAA HLMKTENITW VIVGADRITA NGDVANKIGT YQLAVNAMHH GVRFMVVAPS STIDMNLESG EDIPIEERDG RELLEIGGRR VAAEVDAYNP VFDVTPADLI DAIVTERGVV ERPDAERMAA LMSRKRLH
Uniprot No.

Target Background

Function
Catalyzes the interconversion of methylthioribose-1-phosphate (MTR-1-P) and methylthioribulose-1-phosphate (MTRu-1-P).
Database Links
Protein Families
EIF-2B alpha/beta/delta subunits family, MtnA subfamily

Q&A

What is the function of mtnA in Pseudomonas aeruginosa metabolism?

MtnA in P. aeruginosa catalyzes the isomerization of 5-methylthioribose 1-phosphate to 5-methylthioribulose 1-phosphate, a critical step in the methionine salvage pathway. This pathway allows P. aeruginosa to recycle methionine from methylthioadenosine produced during polyamine synthesis. Based on studies in Bacillus subtilis, this isomerization involves a novel mechanism for an aldose phosphate with a phosphate group on the hemiacetal group . The methionine salvage pathway contributes significantly to P. aeruginosa's metabolic versatility, which is a key factor in its success as an opportunistic pathogen .

How does mtnA expression vary under different growth conditions?

MtnA expression in P. aeruginosa is regulated in response to methionine availability and metabolic demands. Under methionine-limited conditions, expression typically increases to enhance methionine recycling. While specific data for P. aeruginosa mtnA is limited in the provided search results, studies in other organisms suggest that expression levels can be influenced by environmental stressors such as oxidative stress . P. aeruginosa's remarkable metabolic flexibility suggests that mtnA expression likely adapts to various growth conditions to optimize methionine utilization.

What are the biochemical properties of P. aeruginosa mtnA?

While specific biochemical data for P. aeruginosa mtnA is not detailed in the provided search results, insights can be drawn from the well-characterized B. subtilis enzyme. The B. subtilis mtnA has a Michaelis constant (Km) for MTR-1-P of 138 μM and a maximum velocity (Vmax) of 20.4 μmol min⁻¹ (mg protein)⁻¹. Its optimum reaction temperature is 35°C with an optimum pH of 8.1. The activation energy of the reaction is 68.7 kJ mol⁻¹. Structurally, it has a molecular mass of approximately 76 kDa and is composed of two subunits . P. aeruginosa mtnA likely shares similar properties but may have evolved specific adaptations related to its pathogenic lifestyle.

How does mtnA contribute to P. aeruginosa virulence and pathogenicity?

While direct evidence linking mtnA to P. aeruginosa virulence is limited in the provided search results, its role in methionine recycling suggests potential contributions to pathogenicity. P. aeruginosa is characterized by remarkable metabolic versatility and flexibility, which contributes significantly to its success as an opportunistic pathogen . Efficient nutrient recycling pathways like the methionine salvage pathway may support survival in host environments where nutrients are restricted. Methionine availability affects various cellular processes, including protein synthesis and methylation reactions, which can influence virulence factor production. Research into the virulence of P. aeruginosa has identified numerous factors including LPS, elastases, siderophores, and exotoxins, which enable its pathogenicity , and the metabolic pathways supporting their production warrant investigation.

What structural features of P. aeruginosa mtnA contribute to its catalytic mechanism?

The structural determinants of P. aeruginosa mtnA's catalytic efficiency likely include specific active site residues that coordinate substrate binding and promote isomerization. Based on studies of mtnA from other organisms, the enzyme likely possesses a characteristic fold with conserved catalytic residues. The novel isomerization mechanism involving a phosphate group on the hemiacetal group suggests unique structural adaptations in the active site. Structural studies using X-ray crystallography or cryo-EM would be valuable to identify key residues involved in substrate recognition and catalysis, which could be further investigated through site-directed mutagenesis and activity assays.

How do mutations in key residues affect mtnA enzymatic activity?

Mutations in key catalytic residues would likely alter mtnA's enzymatic properties by changing the binding pocket geometry or the distribution of charges. Once identified through structural studies, these residues can be systematically mutated to analyze their contribution to enzyme function. Effects may include:

Mutation TypePotential EffectsAnalysis Methods
Active site residuesAltered Km, kcat, substrate specificitySteady-state kinetics, substrate binding assays
Substrate binding pocketChanged substrate recognitionIsothermal titration calorimetry, fluorescence spectroscopy
Dimer interfaceDisrupted oligomerizationSize exclusion chromatography, analytical ultracentrifugation
Allosteric sitesModified regulationActivity assays with potential effectors

Such studies would provide insights into the catalytic mechanism and could potentially guide the design of specific inhibitors targeting P. aeruginosa metabolism.

How does oxidative stress influence mtnA expression and activity?

Oxidative stress response in P. aeruginosa involves complex regulatory networks that could influence mtnA expression and activity. Studies in Drosophila have shown a connection between MtnA and oxidative stress tolerance, where a polymorphism in the MtnA 3' UTR is associated with increased expression and enhanced oxidative stress tolerance . In P. aeruginosa, the enzyme itself might be susceptible to oxidative inactivation if it contains sensitive residues such as cysteines. Understanding how oxidative stress affects mtnA function could provide insights into P. aeruginosa's adaptation to host immune responses, which often involve oxidative burst mechanisms.

What are the optimal conditions for heterologous expression of P. aeruginosa mtnA?

Based on general principles of recombinant protein expression and specific information about B. subtilis mtnA , researchers should consider the following parameters for optimal expression:

ParameterRecommended ConditionRationale
Expression hostE. coli BL21(DE3) or similarReduced protease activity, T7 RNA polymerase system
Expression vectorpET system with T7 promoterStrong, inducible expression
Induction temperature25-30°CSlower expression to improve folding
IPTG concentration0.1-0.5 mMModerate induction to balance yield and solubility
Growth mediumRich medium (LB) initiallySupports high cell density
Induction timingMid-log phase (OD₆₀₀ ~0.6-0.8)Cells in optimal metabolic state
Expression duration4-16 hours post-inductionBalance between yield and aggregation
Additives5-10% glycerol, reducing agentsMay improve solubility and stability

The optimal pH for buffer systems should be around 8.1, based on the B. subtilis enzyme's pH optimum . Researchers should systematically optimize these conditions, as individual proteins can behave differently even within the same enzyme family.

How can site-directed mutagenesis be used to investigate mtnA catalytic mechanism?

Site-directed mutagenesis provides a powerful approach to elucidate the catalytic mechanism of P. aeruginosa mtnA. A systematic investigation would include:

  • Identifying candidate catalytic residues through sequence alignment with homologs and/or structural analysis

  • Designing primers containing the desired mutations

  • Performing PCR-based mutagenesis (e.g., QuikChange method)

  • Confirming mutations by DNA sequencing

  • Expressing and purifying mutant proteins under identical conditions to wild-type enzyme

  • Characterizing mutants through multiple complementary approaches:

    • Steady-state kinetic analysis (Km, kcat, kcat/Km)

    • pH-rate profiles to identify ionizable catalytic groups

    • Substrate specificity studies

    • Thermal stability assessments

    • Structural analysis (circular dichroism spectroscopy)

    • Product analysis to identify any changes in reaction specificity

This methodology allows researchers to assign specific roles to individual residues in substrate binding, catalysis, and product release, providing a detailed understanding of the isomerization mechanism.

What methods are most effective for purifying recombinant P. aeruginosa mtnA?

Effective purification of active recombinant P. aeruginosa mtnA requires a multi-step approach to ensure high purity while maintaining enzymatic activity:

  • Affinity chromatography: Using a fusion tag such as 6xHis or GST, which can be engineered at either terminus of the protein. Based on the dimeric structure of the B. subtilis enzyme , care should be taken that the tag doesn't interfere with dimerization.

  • Size exclusion chromatography: Essential for separating the dimeric enzyme (expected to be approximately 76 kDa based on B. subtilis mtnA ) from aggregates or improperly folded monomers.

  • Buffer optimization: Considering the B. subtilis enzyme's optimal pH of 8.1 , buffers such as Tris-HCl or HEPES at pH 7.5-8.5 might be suitable. Including stabilizing agents such as glycerol (5-10%) and reducing agents like DTT or β-mercaptoethanol can help maintain activity.

  • Activity assays: Regular monitoring of enzymatic activity throughout purification is essential to ensure that active enzyme is being recovered.

  • Storage conditions: The purified enzyme should be stored in conditions that prevent denaturation or oxidation, with aliquoting and flash-freezing to avoid repeated freeze-thaw cycles.

What assays can be used to measure mtnA activity in P. aeruginosa cell extracts?

Several complementary approaches can be used to measure mtnA activity in P. aeruginosa cell extracts:

  • Direct assays:

    • HPLC separation and quantification of MTR-1-P and MTRu-1-P

    • Colorimetric detection of ketose formation using reagents like tetrazolium blue

    • Mass spectrometry to detect product formation with high specificity

  • Coupled enzyme assays:

    • Using additional enzymes in the methionine salvage pathway to link mtnA activity to a detectable signal

    • Employing NAD(P)H-dependent dehydrogenases with spectrophotometric detection at 340 nm

  • Radiometric assays:

    • Using radiolabeled substrate to track product formation with high sensitivity

    • Particularly useful for low-abundance enzyme in cell extracts

  • In vivo reporter systems:

    • Creating fusions of the methionine salvage pathway promoters with reporter genes like GFP or luciferase

    • Allows monitoring of pathway activity in living cells

Each approach has advantages and limitations, so researchers might employ multiple methods for comprehensive characterization.

How can transcriptomic data be used to understand mtnA regulation?

Transcriptomic analysis can provide valuable insights into mtnA regulation in P. aeruginosa:

  • Differential expression analysis under various conditions (e.g., methionine limitation, oxidative stress, biofilm formation) to understand environmental triggers for mtnA expression

  • Co-expression network analysis to identify genes whose expression patterns correlate with mtnA, potentially revealing regulatory relationships or functional associations

  • Comparison of mtnA expression levels across diverse clinical isolates to identify strain-specific variations and potential correlations with virulence

  • Identification of potential transcription factor binding sites by correlating transcription factor expression with mtnA levels

  • Examination of 5' and 3' UTR usage to detect potential post-transcriptional regulation mechanisms, similar to the 3' UTR polymorphism observed in Drosophila MtnA that affects expression levels and oxidative stress response

  • Integration with metabolomic data to understand how mtnA expression correlates with metabolite levels in the methionine salvage pathway

Such analyses require careful normalization and statistical approaches to account for between-strain variations and potential confounding factors.

What molecular dynamics approaches can provide insights into mtnA substrate binding?

Molecular dynamics (MD) simulations offer powerful approaches to understand protein-substrate interactions at atomic resolution. For P. aeruginosa mtnA, MD simulations could:

  • Elucidate substrate binding dynamics by tracking the movement of MTR-1-P within the active site over time to identify stable binding conformations and transient interactions

  • Characterize water networks that might participate in catalysis through proton transfer or stabilizing transition states

  • Analyze protein flexibility to quantify how substrate binding affects enzyme dynamics, potentially revealing allosteric communication networks

  • Investigate protonation states using constant pH simulations to determine pKa values of catalytic residues and how they change during the catalytic cycle

  • Predict binding free energies through methods like MM-PBSA or free energy perturbation to quantitatively compare binding of different substrates or potential inhibitors

  • Identify binding and product release pathways using advanced sampling techniques

These simulations require a high-quality structural model of P. aeruginosa mtnA (either experimentally determined or computationally modeled) and appropriate force field parameters for the substrate.

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.