Recombinant Helicobacter pylori Glucokinase (glk)

Shipped with Ice Packs
In Stock

Product Specs

Form
Lyophilized powder. We will preferentially ship the available format. If you have specific format requirements, please note them when ordering.
Lead Time
Delivery times vary based on purchasing method and location. Consult your local distributor for specific delivery information. All proteins are shipped with blue ice packs by default. Contact us in advance for dry ice shipping (extra fees apply).
Notes
Avoid repeated freeze-thaw cycles. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute the protein in sterile deionized water to 0.1-1.0 mg/mL. Adding 5-50% glycerol (final concentration) is recommended 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, storage 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
The tag type is determined during manufacturing. Please inform us if you require a specific tag, and we will prioritize its development.
Synonyms
glk; HPP12_1068; Glucokinase; EC 2.7.1.2; Glucose kinase
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-336
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Helicobacter pylori (strain P12)
Target Names
glk
Target Protein Sequence
MPKTETYPRL LADIGGTNAR FGLEVAPRQI ECIEVLRCED FESLSDAVRF YLSKCKESLK LHPIYGSFAV ATPIMGDFVQ MTNNHWTFSI ETTRQCLTLK KLLVINDFVA QAYAISAMQE NDLAQIGGIK CEINAPKAIL GPGTGLGVST LIQNSDGSLK VLPGEGGHVS FAPFDDLEIL VWQYARSKFN HVSAERFLSG SGLVLIYEAL SKRKGLEKVA KLSKAELTPQ IISERALNGD YPICRLTLDT FCSMLGTLAA DVALTLGARG GVYLCGGIIP RFIDYFKTSP FRARFETKGR MGAFLASIPV HVVMKKTPGL DGAGIALENY LLHDKI
Uniprot No.

Target Background

Database Links
Protein Families
Bacterial glucokinase family
Subcellular Location
Cytoplasm.

Q&A

What is the biochemical function of H. pylori glucokinase in bacterial metabolism?

H. pylori glucokinase catalyzes the phosphorylation of glucose to glucose-6-phosphate, the first committed step in glycolysis. Unlike many other bacteria, H. pylori appears to lack a phosphotransferase system or a less specific hexokinase, making glucokinase particularly important for carbohydrate utilization . This enzyme enables glucose utilization which shows distinctive biphasic characteristics: a slow initial period followed by faster catabolism, suggesting glucose is not a preferred energy substrate but can be used when other energy sources are depleted .

Methodological approach: To study this function, researchers can measure glucose consumption rates in H. pylori cultures under different growth conditions using enzymatic assays or isotope-labeled glucose. Comparing wild-type strains with glk knockouts can further elucidate the enzyme's metabolic significance.

How does the genomic context of the glk gene inform our understanding of H. pylori metabolism?

The HP1103 gene encoding glucokinase exists within H. pylori's compact genome, which has undergone significant evolution to adapt to its gastric niche. Genome analysis has confirmed experimental data regarding glycolysis and gluconeogenesis pathways while highlighting areas requiring further verification . The genetic architecture surrounding the glk gene can provide insights into co-regulated metabolic processes.

Methodological approach: Comparative genomic analysis across multiple H. pylori strains and related species can reveal conserved synteny and regulatory elements. RNA-seq experiments under various growth conditions can identify co-expressed genes, providing insight into metabolic networks involving glucokinase.

What are the optimal expression systems for producing functional recombinant H. pylori glucokinase?

Methodological answer: Several expression systems can be employed with varying advantages:

  • E. coli-based expression: The pET expression system using BL21(DE3) or Rosetta strains typically provides high yields. Expression conditions should be optimized with IPTG induction (0.1-0.5 mM) at lower temperatures (16-25°C) to enhance proper folding.

  • Codon optimization: H. pylori has a different codon usage bias than E. coli. Codon optimization of the glk gene for E. coli expression or using Rosetta strains can enhance expression efficiency.

  • Fusion tags: N-terminal His6-tag facilitates purification, while fusion partners like MBP or SUMO can improve solubility. Compare expression yields with different fusion strategies.

  • Cell-free expression systems: When facing toxicity issues, cell-free systems can provide an alternative for producing difficult-to-express proteins.

What purification strategy yields the highest activity for recombinant H. pylori glucokinase?

Methodological answer: A multi-step purification approach is recommended:

  • Initial capture: IMAC (Immobilized Metal Affinity Chromatography) using Ni-NTA resin for His-tagged protein, with imidazole gradient elution (20-250 mM).

  • Intermediate purification: Ion exchange chromatography (typically Q-Sepharose) based on the protein's predicted pI.

  • Polishing step: Size exclusion chromatography to remove aggregates and ensure monodispersity.

  • Buffer optimization: Testing stability in various buffers containing:

    • 50 mM Tris-HCl or HEPES (pH 7.5-8.0)

    • 100-200 mM NaCl

    • 5-10% glycerol as stabilizer

    • 1-5 mM DTT or β-mercaptoethanol to prevent oxidation

    • 1 mM EDTA to chelate metal contaminants

Enzyme activity should be monitored throughout purification to identify conditions that preserve catalytic function.

How can the enzymatic activity of recombinant H. pylori glucokinase be reliably measured?

Methodological answer: Several complementary assays provide comprehensive activity assessment:

  • Coupled spectrophotometric assay: Most commonly employed method linking glucose-6-phosphate production to NADH generation via glucose-6-phosphate dehydrogenase. Monitor absorbance at 340 nm.

  • ADP production assay: Measure ADP formation using commercial kits (e.g., ADP-Glo™) that convert ADP to ATP and generate luminescent signals proportional to ADP concentration.

  • Direct product detection: Use HPLC or LC-MS/MS to quantify glucose-6-phosphate formation directly.

  • Radiometric assay: Incorporate [14C]-glucose or [32P]-ATP to track phosphorylation via scintillation counting.

Each assay should include proper controls, including enzyme-free and substrate-free reactions. For kinetic determinations, establish linearity with respect to time and enzyme concentration.

How does genetic variation in H. pylori glk relate to strain virulence and host adaptation?

H. pylori exhibits remarkable genetic diversity with high rates of recombination . This genetic plasticity allows adaptation to different host environments and may influence metabolic capacities, including glucose utilization.

Methodological approach:

  • Sequence the glk gene from diverse clinical isolates representing different geographic populations

  • Correlate sequence variants with:

    • Growth rates on glucose-limited media

    • Enzymatic properties of purified recombinant variants

    • Colonization efficiency in animal models

    • Clinical outcomes in patient cohorts

  • Employ site-directed mutagenesis to introduce observed natural variants into reference strains for phenotypic characterization

Potential ApproachAdvantagesLimitations
Multi-locus sequence typing including glkPlaces glk variation in genomic contextLimited functional insights
Recombinant expression of variant enzymesDirect functional assessmentMay not reflect in vivo behavior
Animal infection models with variant strainsEvaluates biological significanceSpecies differences in gastric physiology
Patient cohort studiesClinical relevanceMultiple confounding factors

What is the relationship between H. pylori glucokinase activity and the bacterium's ability to affect host glucose metabolism?

H. pylori infection has been associated with elevated glycated hemoglobin A levels in patients with diabetes , suggesting a potential relationship between bacterial infection and host glucose metabolism.

Methodological approach:

  • Develop co-culture systems with gastric epithelial cells and H. pylori (wild-type vs. glk mutants)

  • Measure:

    • Glucose uptake rates in host cells

    • Expression of glucose transporters and metabolic enzymes

    • Inflammatory mediators that might affect insulin signaling

    • Bacterial metabolites that could influence host metabolism

  • In vivo studies comparing wild-type and glk-mutant H. pylori strains in diabetic and non-diabetic animal models, evaluating:

    • Colonization efficiency

    • Host glycemic control

    • Gastric tissue inflammation and metabolomic profiles

How can structural insights from human glucokinase variant studies inform research on H. pylori glucokinase?

Studies on human glucokinase variants have revealed mechanisms by which amino acid substitutions affect protein stability, abundance, and activity . Similar approaches can be applied to H. pylori glucokinase.

Methodological approach:

  • Apply multiplexed assays similar to those used for human glucokinase to assess stability and activity of H. pylori glucokinase variants

  • Conduct thermodynamic stability predictions to identify residues critical for enzyme structure

  • Use molecular dynamics simulations to examine conformational dynamics

  • Identify potential allosteric sites by comparing with known regulatory mechanisms in human glucokinase

What are the key kinetic parameters of H. pylori glucokinase and how do they compare to other bacterial glucokinases?

Methodological answer: To determine comprehensive kinetic parameters:

  • Steady-state kinetics: Measure initial reaction rates across a range of substrate concentrations (typically 0.2-5× Km):

    • Vary glucose (0.01-100 mM) at saturating ATP

    • Vary ATP (0.01-10 mM) at saturating glucose

    • Fit data to appropriate models (Michaelis-Menten, Hill equation)

  • pH and temperature profiles: Determine activity across ranges relevant to H. pylori's gastric niche (pH 4.0-8.0, 30-42°C)

  • Effector studies: Test potential physiological regulators:

    • Metabolic intermediates (G6P, F6P, pyruvate)

    • Nucleotides (ADP, AMP, GTP)

    • Divalent cations (Mg2+, Mn2+, Ca2+)

  • Comparative analysis: Normalize and compare parameters with glucokinases from E. coli, B. subtilis, and other bacteria to identify unique features of H. pylori enzyme

ParameterExpected RangeSignificance
Km (glucose)0.1-10 mMAffinity for glucose
Km (ATP)0.1-1 mMAffinity for ATP
kcat1-100 s⁻¹Catalytic efficiency
pH optimum6.0-8.0Adaptation to microenvironment
Temperature optimum35-40°CHost temperature adaptation

What approaches can identify selective inhibitors of H. pylori glucokinase with therapeutic potential?

Methodological answer:

  • Structure-based virtual screening:

    • Generate homology model of H. pylori glucokinase

    • Identify unique binding pockets compared to human hexokinases

    • Screen in silico compound libraries against these targets

    • Select compounds with predicted selectivity for bacterial enzyme

  • High-throughput biochemical screening:

    • Adapt the coupled enzyme assay to 384-well format

    • Screen diverse chemical libraries (10,000-100,000 compounds)

    • Implement counter-screens against human hexokinases for selectivity

    • Validate hits with orthogonal assays

  • Fragment-based drug design:

    • Screen fragment libraries using thermal shift assays

    • Identify binding fragments using X-ray crystallography or NMR

    • Link or grow fragments to develop high-affinity inhibitors

  • Biological validation pipeline:

    • Test inhibitor effects on purified enzyme

    • Evaluate bacterial growth inhibition

    • Assess cytotoxicity in mammalian cells

    • Measure efficacy in infection models

How can recombinant H. pylori glucokinase be utilized for developing diagnostics and research tools?

Methodological answer:

  • Antibody development:

    • Use purified recombinant glucokinase as antigen for polyclonal or monoclonal antibody production

    • Validate antibody specificity across H. pylori strains and related species

    • Apply for immunohistochemistry, ELISA, or western blot detection of H. pylori

  • Biosensor development:

    • Immobilize glucokinase on appropriate surfaces (gold nanoparticles, graphene)

    • Couple enzyme activity to electrochemical or optical detection systems

    • Optimize for detection of enzyme inhibitors or H. pylori metabolic activity

  • Metabolic flux analysis tools:

    • Develop in vitro reconstitution systems with purified glucokinase and downstream enzymes

    • Create isotope-labeled substrates for tracking metabolic flux

    • Design reporter systems for monitoring glucokinase activity in vivo

What challenges arise when studying the role of glucokinase in H. pylori colonization and virulence?

Methodological answer:

  • Genetic manipulation strategies:

    • CRISPR-Cas9 systems adapted for H. pylori

    • Allelic exchange mutagenesis protocols

    • Complementation systems with controllable expression

    • Challenges: H. pylori's restrictive transformation barriers, genetic instability

  • Animal model considerations:

    • Mouse infection models require adaptation to H. pylori strains

    • Mongolian gerbil models better recapitulate human disease

    • Humanized mouse models with human gastric tissue

    • Challenges: Species differences in metabolism, immune responses

  • In vivo metabolic tracking:

    • Isotope-labeled glucose administration to track utilization

    • Intravital imaging of bacterial metabolism

    • Challenges: Detection sensitivity, distinguishing bacterial from host metabolism

  • Virulence correlation studies:

    • Measurement of virulence factor expression in glk mutants

    • Host cell responses to infection with variant strains

    • Challenges: Multifactorial nature of virulence, strain variability

How might systems biology approaches enhance our understanding of H. pylori glucokinase in the context of metabolic networks?

Methodological answer:

  • Multi-omics integration:

    • Combine transcriptomics, proteomics, and metabolomics data from wild-type and glk mutant strains

    • Construct genome-scale metabolic models incorporating enzyme kinetics

    • Identify metabolic bottlenecks and potential synthetic lethal interactions

    • Validate predictions with targeted metabolic interventions

  • Flux balance analysis:

    • Develop constraint-based models of H. pylori metabolism

    • Perform in silico knockouts to predict metabolic rewiring

    • Compare with experimental metabolic flux measurements using 13C-labeled substrates

  • Protein interaction networks:

    • Identify proteins that interact with glucokinase using pull-down assays coupled with mass spectrometry

    • Validate interactions using techniques like bioluminescence resonance energy transfer

    • Map regulatory networks controlling glucokinase expression and activity

What is the potential connection between H. pylori glucokinase activity and diabetic complications?

Studies have shown associations between H. pylori infection and glycated hemoglobin A levels in diabetes patients , suggesting potential metabolic interplay between host and pathogen.

Methodological answer:

  • Clinical investigation approaches:

    • Longitudinal studies comparing glycemic control before and after H. pylori eradication

    • Analysis of H. pylori strains from diabetic vs. non-diabetic patients for glk variants

    • Measurement of inflammatory markers and metabolic parameters in response to infection

  • Mechanistic studies:

    • Investigation of bacterial glucose consumption in the gastric microenvironment

    • Assessment of H. pylori metabolites that may interfere with insulin signaling

    • Examination of host-pathogen metabolic competition during infection

  • Therapeutic exploration:

    • Testing whether glucokinase inhibitors affect H. pylori's influence on host metabolism

    • Evaluating synergistic effects between antidiabetic drugs and H. pylori eradication therapy

    • Developing probiotic approaches to counter H. pylori's metabolic effects

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