Recombinant Pseudomonas syringae pv. syringae Urease accessory protein UreE 2 (ureE2)

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Product Specs

Form
Lyophilized powder
Note: While we will prioritize shipping the format currently in stock, please specify any format requirements in your order notes. We will accommodate your request to the best of our ability.
Lead Time
Delivery times vary depending on the purchasing method and location. Please contact your local distributor for precise delivery estimates.
Note: Our 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 settle 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 may serve as a guideline.
Shelf Life
Shelf life depends on several factors, including storage conditions, buffer composition, temperature, and the protein's inherent stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations 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 specific tag type is determined during the production process. If you require a particular tag, please inform us, and we will prioritize its incorporation.
Synonyms
ureE2; Psyr_4451; Urease accessory protein UreE 2
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-166
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Pseudomonas syringae pv. syringae (strain B728a)
Target Names
ureE2
Target Protein Sequence
MLVIHDRIEP QAEWAAELHL NFEARSKSRL RCFSAENEDV GLFLQRGQSP LRDGEFLQAQ DGRVVRVCAR PEKLMHVTCS STFELTRAAY HLGNRHVALQ VGDGWLRLLD DYVLKAMLDQ LGATVETIEA PFQPEHGAYG GGHHHSRAGE EDFNYPPRMH QFGVRK
Uniprot No.

Target Background

Function
This protein is involved in urease metallocenter assembly and binds nickel. Its primary function is likely as a nickel donor during this assembly process.
Database Links
Protein Families
UreE family
Subcellular Location
Cytoplasm.

Q&A

What is UreE2 and what is its primary function in Pseudomonas syringae?

UreE2 in Pseudomonas syringae functions as a nickel metallochaperone responsible for acquiring and specifically delivering Ni²⁺ ions required for urease activation. The UreE protein forms dimers (UreE2) that work within the urease maturation pathway, playing a critical role in the assembly of the catalytically active urease enzyme. Similar to what has been observed in Helicobacter pylori, the UreE2 in P. syringae is likely essential for the proper functioning of urease, which contributes to bacterial survival under various environmental conditions . Urease activation involves the assembly of di-nickel active sites, requiring the coordinated action of several accessory proteins including UreE, which has been identified specifically as the metallochaperone component responsible for nickel delivery .

How does the UreE2 protein interact with other urease accessory proteins?

UreE2 forms a stable protein complex with HypA (a hydrogenase maturation protein), creating the HypA- UreE2 complex that has unique nickel-binding properties. This interaction appears to be functionally significant as the complex protects UreE from hydrolytic degradation and contains a high-affinity (nanomolar range) Ni²⁺ binding site that remains stable even under acidic conditions (pH 6.3) . Research indicates that HypA and UreE2 act as co-metallochaperones that facilitate targeted delivery of Ni²⁺ to apo-urease with high specificity . The interaction between these proteins has been demonstrated both in vitro and in vivo, although attempts to demonstrate direct Ni-transfer between the proteins have yielded variable results depending on the experimental conditions and protein variants used .

What role does UreE2 play in P. syringae pathogenicity?

The UreE2 protein likely contributes to P. syringae pathogenicity through its role in urease activation, which may enhance bacterial survival during host colonization. Urease activity can help bacteria neutralize acidic environments encountered during infection and provide a nitrogen source through urea hydrolysis. While the search results don't specifically address UreE2's role in P. syringae pathogenicity, we can infer its importance based on studies in other bacterial pathogens like H. pylori, where urease activity is vital for acid resistance and colonization . In P. syringae, which causes bacterial leaf spot of watermelon, cantaloupe, and squash, the ability to survive environmental stresses is crucial for successful host infection and disease development .

How has the gene encoding UreE2 evolved within Pseudomonas syringae populations?

The gene encoding UreE2 in P. syringae likely evolved through mechanisms of horizontal gene transfer and homologous recombination, similar to other virulence factors in this species. Recent genomic analyses of P. syringae strains have revealed significant genome plasticity, with evidence of extensive homologous recombination between different phylogroups (specifically 2a and 2b) . While the search results don't specifically mention ureE2 gene evolution, P. syringae genomes show enrichment for recombination in pathways involved in ATP-dependent transport and metabolism of amino acids, bacterial motility, and secretion systems . The acquisition of accessory genes through integrative and conjugative elements and plasmid loci has been documented for virulence factors in P. syringae, suggesting similar mechanisms may apply to urease accessory genes .

What are the optimal methods for expressing and purifying recombinant UreE2 from P. syringae?

For optimal expression and purification of recombinant P. syringae UreE2, researchers should consider the following methodological approach:

  • Expression System Selection: Use E. coli BL21(DE3) with a pET-based vector containing the ureE2 gene with a C-terminal His-tag for efficient purification.

  • Expression Conditions:

    • Grow transformed cells in LB medium supplemented with appropriate antibiotics at 37°C until OD600 reaches 0.6-0.8

    • Induce protein expression with 0.5-1.0 mM IPTG

    • Lower temperature to 18-25°C post-induction and continue expression for 16-18 hours to enhance soluble protein yield

  • Cell Lysis and Extraction:

    • Harvest cells by centrifugation (5,000 × g, 10 minutes, 4°C)

    • Resuspend in lysis buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, and protease inhibitors

    • Lyse cells using sonication or mechanical disruption

  • Purification Protocol:

    • Initial purification using Ni-NTA affinity chromatography with elution via an imidazole gradient (50-300 mM)

    • Secondary purification using size exclusion chromatography to obtain pure UreE2 dimers

    • Ensure all buffers contain trace amounts of nickel (1-5 μM) to stabilize the protein unless studying apo-forms

  • Quality Control:

    • Assess purity by SDS-PAGE (>95% purity target)

    • Verify protein identity using western blotting and/or mass spectrometry

    • Confirm proper folding through circular dichroism spectroscopy

This methodology draws upon standard recombinant protein techniques with specific adaptations based on the metallochaperone nature of UreE2 proteins .

How can researchers effectively measure nickel binding properties of UreE2?

To effectively measure the nickel binding properties of UreE2, researchers should employ a combination of complementary techniques:

  • Isothermal Titration Calorimetry (ITC):

    • Prepare purified UreE2 (20-50 μM) in buffer free of metal chelators

    • Titrate with NiCl2 solution (200-500 μM) using small incremental injections

    • Perform experiments at both neutral (pH 7.4) and acidic (pH 6.3) conditions to assess pH dependency

    • Analyze data using appropriate binding models to determine stoichiometry, binding affinity (Kd), enthalpy (ΔH), and entropy (ΔS) changes

  • Fluorometric Methods:

    • Use intrinsic tryptophan fluorescence or external fluorescent probes to monitor conformational changes upon nickel binding

    • Prepare protein samples (1-5 μM) in appropriate buffer

    • Titrate with increasing concentrations of NiCl2

    • Monitor fluorescence emission spectra after each addition

  • Equilibrium Dialysis:

    • Place purified UreE2 in dialysis cassettes against buffer containing defined concentrations of Ni²⁺

    • Allow equilibration for 12-24 hours

    • Measure free and bound nickel using atomic absorption spectroscopy or colorimetric assays

  • Metal Competition Assays:

    • Pre-load UreE2 with Ni²⁺

    • Challenge with increasing concentrations of competing metals (Zn²⁺, Cu²⁺, Co²⁺)

    • Monitor displacement using spectroscopic techniques

    • Calculate relative binding affinities

These methodologies have been successfully employed in studying the nickel binding properties of the HypA- UreE2 complex, revealing a unique high-affinity (nM) Ni²⁺ binding site that is maintained under acidic conditions .

What techniques can be used to study protein-protein interactions involving UreE2?

Multiple complementary techniques can be employed to study protein-protein interactions involving UreE2:

  • Pull-down Assays and Co-immunoprecipitation:

    • Express UreE2 with an affinity tag (His, GST, or FLAG)

    • Immobilize on appropriate resin and incubate with candidate interaction partners

    • Wash extensively to remove non-specific binders

    • Elute and analyze bound proteins by SDS-PAGE and western blotting or mass spectrometry

  • Surface Plasmon Resonance (SPR):

    • Immobilize purified UreE2 on a sensor chip

    • Flow potential binding partners across the surface at various concentrations

    • Monitor real-time association and dissociation

    • Determine kinetic parameters (kon, koff) and equilibrium dissociation constants (KD)

  • Isothermal Titration Calorimetry (ITC):

    • Similar to nickel binding studies, but titrating with partner proteins

    • Particularly useful for quantifying thermodynamic parameters of interactions

    • Has been successfully used to characterize the interaction between HypA and UreE2

  • Fluorescence Resonance Energy Transfer (FRET):

    • Label UreE2 and potential partner with appropriate fluorophore pairs

    • Monitor changes in fluorescence emission upon interaction

    • Can be performed in solution or in cellular contexts

  • Cross-linking Coupled with Mass Spectrometry:

    • Treat protein complexes with cross-linking reagents to stabilize interactions

    • Digest cross-linked complexes with proteases

    • Analyze resulting peptides using mass spectrometry

    • Identify cross-linked peptides to map interaction interfaces

  • Analytical Ultracentrifugation:

    • Monitor sedimentation velocity or equilibrium to detect complex formation

    • Determine stoichiometry and binding constants of interactions

Research has shown that UreE2 forms a stable complex with HypA with micromolar affinity, and this interaction protects UreE from hydrolytic degradation . Additionally, nickel-specific cross-linking dyes have been used after SDS-PAGE separation to demonstrate Ni-transfer between modified HypA variants and UreE2 .

How does pH affect the structure and function of the UreE2-associated protein complexes?

The pH-dependent behavior of UreE2-associated protein complexes is critical for understanding their function under varying physiological conditions:

  • Structural Stability Assessment:

    • Employ circular dichroism (CD) spectroscopy at varying pH values (5.0-8.0)

    • Monitor secondary structure changes as a function of pH

    • Use differential scanning calorimetry to determine melting temperatures at different pH values

  • Functional Assays at Different pH Values:

    • Measure nickel binding affinity using ITC at pH ranges from 5.0 to 8.0

    • Compare binding constants (Kd) across the pH spectrum

    • Research has shown that the HypA- UreE2 complex maintains its high-affinity nickel binding site even under acidic conditions (pH 6.3) that mimic acid shock

  • Protein-Protein Interaction Dynamics:

    • Perform pull-down assays or SPR at varying pH

    • Determine if complex formation or dissociation is pH-dependent

    • Quantify changes in binding affinities with pH shifts

  • Conformational Dynamics:

    • Use hydrogen-deuterium exchange mass spectrometry at different pH values

    • Identify regions with altered solvent accessibility as pH changes

    • Map pH-sensitive domains involved in complex assembly or function

  • Functional Output Measurement:

    • Design in vitro urease activation assays at varying pH

    • Quantify the efficiency of nickel transfer from UreE2 to urease as a function of pH

    • Correlate with bacterial survival under acid stress conditions

The maintenance of the high-affinity nickel binding site in the HypA- UreE2 complex under acidic conditions suggests an evolved mechanism to ensure urease activation even during acid stress, which is particularly relevant for bacterial pathogens that must navigate acidic environments during host colonization .

What is the role of UreE2 in the context of horizontal gene transfer and pathogen evolution?

The role of UreE2 in horizontal gene transfer (HGT) and pathogen evolution can be investigated through several research approaches:

  • Comparative Genomics Analysis:

    • Compare ureE2 gene sequences across different P. syringae strains and related species

    • Identify signatures of HGT such as atypical GC content, codon usage bias, or flanking mobile genetic elements

    • Map the distribution of ureE2 against the species phylogeny to detect incongruences suggesting HGT

  • Phylogenetic Reconstruction:

    • Construct phylogenetic trees based on ureE2 sequences and compare with whole-genome or housekeeping gene trees

    • Identify instances where ureE2 phylogeny conflicts with accepted species relationships

    • Apply statistical tests to confirm significant phylogenetic incongruence

  • Genomic Context Analysis:

    • Examine the genomic neighborhood of ureE2 to identify if it resides within mobile genetic elements

    • Look for integrative and conjugative elements (ICEs) or plasmid-associated sequences

    • P. syringae genomes show evidence of extensive recombination and HGT affecting pathogenicity traits, including the acquisition of various genes through ICEs and plasmid loci

  • Experimental Evolution Studies:

    • Design laboratory evolution experiments under selective pressures relevant to urease function

    • Monitor the acquisition, loss, or modification of ureE2 and associated genes

    • Sequence evolved strains to identify mechanisms of genetic change

  • Population Genomics:

    • Analyze population-level variation in ureE2 across environmental and clinical isolates

    • Calculate metrics of genetic diversity, selection, and recombination

    • Research on P. syringae has shown significant genome-wide homologous recombination between phylogroups, particularly affecting pathways involved in metabolism, motility, and secretion systems

Recent studies on P. syringae have revealed the emergence of hybrid phylogenetic groups through extensive genome-wide homologous recombination, with up to 30.54% of core genomes affected by recombination events . This demonstrates the dynamic nature of P. syringae genomes and suggests that genes involved in host adaptation, including those in urease pathways, may similarly be subject to HGT and recombination.

How can researchers distinguish between the functions of UreE2 and other nickel chaperones in P. syringae?

To distinguish between the functions of UreE2 and other nickel chaperones in P. syringae, researchers should implement the following methodological approaches:

  • Gene Deletion and Complementation Studies:

    • Generate clean deletion mutants of ureE2 and other nickel chaperone genes

    • Create complementation strains with controlled expression

    • Measure urease activity, nickel content, and growth under various conditions

    • Assess phenotypes in planta to determine pathogenicity impacts

  • Protein Domain Swap Experiments:

    • Design chimeric proteins containing domains from UreE2 and other nickel chaperones

    • Express these in appropriate deletion backgrounds

    • Determine which domains are responsible for specific functions or interactions

    • Identify unique functional regions that distinguish UreE2 from other chaperones

  • Selective Nickel Loading Assays:

    • Develop protocols to specifically load UreE2 or alternative chaperones with nickel

    • Track nickel transfer to target proteins using radioactive ⁶³Ni or fluorescent probes

    • Determine transfer kinetics and specificities

    • Compare the efficiency of nickel delivery to urease versus hydrogenase pathways

  • Differential Protein-Protein Interaction Networks:

    • Use pull-down assays coupled with mass spectrometry to identify interaction partners

    • Compare interactomes of UreE2 with those of other nickel chaperones

    • Confirm specific interactions using direct binding assays

    • Research has shown that UreE2 forms specific complexes with HypA that contain unique high-affinity nickel binding sites

  • Conditional Expression Systems:

    • Create strains with chaperone genes under control of inducible promoters

    • Manipulate expression levels of individual chaperones to determine functional hierarchy

    • Assess competition between chaperones for limited nickel pools

The HypA- UreE2 complex has been shown to contain a unique high-affinity (nM) Ni²⁺ binding site not present in either protein alone, suggesting cooperative action in nickel handling . Understanding the distinguishing features of UreE2 compared to other nickel chaperones is essential for developing targeted interventions that might disrupt specific metal homeostasis pathways in bacterial pathogens.

What analytical methods are most effective for studying the kinetics of nickel transfer from UreE2 to urease?

Studying the kinetics of nickel transfer from UreE2 to urease requires sophisticated analytical approaches that can capture this dynamic process:

  • Real-time Fluorescence Spectroscopy:

    • Label UreE2 with environment-sensitive fluorophores that respond to metal binding/release

    • Monitor fluorescence changes during incubation with apo-urease

    • Calculate transfer rates under varying conditions (temperature, pH, ionic strength)

    • Determine the effect of accessory proteins like HypA on transfer kinetics

  • Stopped-flow Spectroscopy:

    • Rapidly mix Ni-loaded UreE2 with apo-urease

    • Monitor spectral changes on millisecond timescales

    • Derive rate constants for different steps in the transfer process

    • Test competing models of direct transfer versus dissociative mechanisms

  • Radioisotope Tracking:

    • Load UreE2 with ⁶³Ni

    • Incubate with apo-urease for varying time periods

    • Separate proteins and quantify nickel distribution

    • Calculate transfer rates and efficiency

  • Urease Activity Assays Following Timed Incubations:

    • Pre-load UreE2 with nickel

    • Incubate with apo-urease for defined time intervals

    • Measure urease activity as a function of incubation time

    • Correlate activity development with nickel transfer

  • Native Mass Spectrometry:

    • Monitor changes in the mass of urease and UreE2 complexes over time

    • Detect intermediate species in the transfer process

    • Determine stoichiometry changes during the reaction

  • Nickel-Specific Cross-linking Assays:

    • Use nickel-specific cross-linking dyes to capture transfer intermediates

    • Analyze by SDS-PAGE to visualize proteins involved in transfer

    • This approach has been used to demonstrate Ni-transfer from modified HypA variants to UreE2

  • Reconstitution Assays with Purified Components:

    • Systematically vary the components in reconstitution mixtures

    • Test the impact of accessory proteins (UreG, UreF, UreH) on transfer kinetics

    • Determine rate-limiting steps in the complete urease maturation pathway

Previous studies attempting to demonstrate Ni-transfer between HypA and UreE2 yielded ambiguous results, highlighting the technical challenges in studying these processes . Separation of tightly bound Ni,Zn-GS-HypA- UreE2 complexes required denaturing conditions or additional cofactors such as Mg, GTP, and UreG2, suggesting that nickel transfer in vivo may involve complex, multi-component interactions .

How does the structure-function relationship of UreE2 compare across different bacterial pathogens?

Understanding the structure-function relationship of UreE2 across different bacterial pathogens requires a comprehensive comparative approach:

  • Comparative Structural Analysis:

    • Determine crystal structures of UreE2 from multiple bacterial species

    • Perform structural alignments to identify conserved and variable regions

    • Map nickel-binding residues and protein interaction interfaces

    • Correlate structural differences with known functional variations

  • Structure-Guided Mutagenesis:

    • Design mutations targeting conserved or variable residues across species

    • Express mutant proteins and assess impacts on:

      • Nickel binding affinity and stoichiometry

      • Protein-protein interactions

      • In vivo urease activation

    • Compare the effects of equivalent mutations across species

  • Domain Swapping Between Species:

    • Create chimeric UreE2 proteins containing domains from different bacterial species

    • Assess functionality in heterologous systems

    • Identify domains responsible for species-specific functions or interactions

  • Comparative Biochemical Characterization:

    • Measure and compare nickel binding properties (affinity, stoichiometry) across species

    • Determine thermal stability and pH sensitivity profiles

    • Assess protein-protein interaction networks

    • Research has shown that the HypA- UreE2 complex from H. pylori contains a unique high-affinity nickel binding site that is maintained under acidic conditions

  • Phylogenetic Analysis Coupled with Functional Mapping:

    • Reconstruct the evolutionary history of UreE2 across bacterial species

    • Map functional characteristics onto the phylogenetic tree

    • Identify evolutionary patterns and potential adaptive changes

  • Heterologous Complementation Studies:

    • Express UreE2 from different species in a model organism lacking endogenous UreE

    • Assess the ability to restore urease activity

    • Quantify complementation efficiency to determine functional conservation

While the search results primarily focus on UreE2 from H. pylori , the approaches outlined above would allow researchers to systematically compare UreE2 proteins from different bacterial pathogens, including P. syringae. Such comparative studies could reveal conserved mechanisms of nickel delivery as well as species-specific adaptations that might be targeted for antimicrobial development.

What are the common challenges in working with recombinant UreE2 and how can they be addressed?

Researchers working with recombinant UreE2 often encounter several technical challenges that can be addressed through specific methodological approaches:

  • Protein Solubility Issues:

    • Challenge: UreE2 may form inclusion bodies during overexpression

    • Solutions:

      • Lower expression temperature to 16-18°C after induction

      • Use solubility-enhancing fusion tags (MBP, SUMO, TrxA)

      • Optimize induction conditions (reduced IPTG concentration, longer expression time)

      • Add low concentrations of nickel (1-5 μM) to expression media to stabilize the native conformation

  • Metal Contamination:

    • Challenge: Background metal contamination affecting binding studies

    • Solutions:

      • Treat all buffers with Chelex-100 resin to remove trace metals

      • Use high-purity reagents and ultrapure water

      • Include negative controls without protein in all metal binding experiments

      • Consider using plastic labware instead of glass to minimize metal leaching

  • Protein Stability During Purification:

    • Challenge: UreE proteins can be susceptible to degradation, as observed in studies with UreE from other species

    • Solutions:

      • Maintain low temperature (4°C) throughout purification

      • Include protease inhibitor cocktails in all buffers

      • Add reducing agents (1-5 mM DTT or TCEP) to prevent oxidation of cysteine residues

      • Proceed quickly through purification steps

      • Consider forming the HypA- UreE2 complex, which has been shown to protect UreE from hydrolytic degradation

  • Oligomerization State Variability:

    • Challenge: UreE2 may exist in multiple oligomeric states affecting functional studies

    • Solutions:

      • Analyze oligomeric state by size exclusion chromatography

      • Use native PAGE to confirm dimer formation

      • Include stabilizing agents (glycerol, low concentrations of nickel) in storage buffers

      • Verify oligomeric state before functional assays

  • Low Yield of Functional Protein:

    • Challenge: Obtaining sufficient quantities of functional UreE2

    • Solutions:

      • Optimize codon usage for expression host

      • Consider alternative expression systems (Pseudomonas-based expression for P. syringae proteins)

      • Scale up culture volumes and optimize cell density before induction

      • Implement auto-induction media for higher biomass and protein yields

  • Assay Interference:

    • Challenge: Interference in nickel-binding or protein interaction assays

    • Solutions:

      • Carefully select buffer components to avoid those that chelate metals

      • Include appropriate controls for background binding

      • Validate results using multiple independent techniques

      • Consider the impact of His-tags on metal binding studies and remove if necessary

By implementing these targeted strategies, researchers can overcome common challenges in working with recombinant UreE2, ensuring the production of high-quality protein for structural and functional studies.

How can researchers validate the biological relevance of in vitro findings about UreE2?

To validate the biological relevance of in vitro findings about UreE2, researchers should implement a multi-faceted approach that bridges laboratory observations with in vivo contexts:

  • Genetic Complementation Studies:

    • Generate ureE2 deletion mutants in P. syringae

    • Complement with wild-type and mutant versions based on in vitro findings

    • Assess restoration of urease activity and pathogenicity

    • Correlate phenotypic outcomes with biochemical properties identified in vitro

  • Site-Directed Mutagenesis Based on In Vitro Insights:

    • Create point mutations targeting residues identified as important in in vitro studies

    • Express mutant proteins in the native organism

    • Measure effects on urease activation, nickel binding, and protein interactions

    • Confirm that mutations produce expected phenotypes based on in vitro predictions

  • In Vivo Protein-Protein Interaction Validation:

    • Implement bacterial two-hybrid or split-GFP systems to confirm interactions in living cells

    • Perform co-immunoprecipitation from bacterial lysates

    • Use crosslinking approaches in intact cells followed by mass spectrometry

    • Compare interaction patterns with those observed in purified protein studies

  • Correlation with Bacterial Physiology:

    • Measure intracellular nickel content in wild-type and ureE2 mutant strains

    • Assess urease activity in response to environmental conditions (pH changes, nickel availability)

    • Determine if cellular responses match predictions from in vitro nickel binding studies

    • Research has shown that the HypA- UreE2 complex maintains high-affinity nickel binding under acidic conditions, suggesting adaptation to acid stress

  • Heterologous Expression Systems:

    • Express UreE2 variants in model organisms lacking native urease systems

    • Measure the ability to activate exogenous urease

    • Compare activity profiles with biochemical properties determined in vitro

  • Structural Validation in Cellular Context:

    • Use techniques like FRET to confirm protein conformations in vivo

    • Apply hydrogen-deuterium exchange mass spectrometry to bacterial lysates

    • Compare structural insights with those obtained from purified proteins

  • Pathogenicity Correlation Studies:

    • Assess virulence of ureE2 mutants in appropriate plant infection models

    • Correlate virulence defects with specific biochemical properties

    • Determine if complementation with variants having altered in vitro properties affects pathogenicity

By systematically connecting in vitro observations with in vivo phenotypes, researchers can establish the biological relevance of biochemical findings and develop a more comprehensive understanding of UreE2's role in bacterial physiology and pathogenesis.

What statistical approaches are most appropriate for analyzing UreE2 binding and kinetic data?

  • Model Selection for Binding Data:

    • Approach: Apply information criteria (AIC, BIC) to compare alternative binding models

    • Implementation:

      • Fit experimental data to multiple models (single-site, multiple independent sites, cooperative binding)

      • Calculate AIC and BIC values for each model

      • Select the model with lowest AIC/BIC values, considering parsimony

      • Report parameter estimates with confidence intervals rather than just point estimates

  • Global Fitting for Complex Datasets:

    • Approach: Simultaneously fit multiple datasets with shared parameters

    • Implementation:

      • Collect binding data under multiple conditions (temperature, pH, salt concentration)

      • Implement global fitting algorithms that share common parameters across datasets

      • Use bootstrap resampling to estimate confidence intervals

      • This approach increases statistical power and provides more robust parameter estimates

  • Kinetic Data Analysis:

    • Approach: Apply appropriate kinetic models to time-course data

    • Implementation:

      • For simple first-order processes, use exponential fitting

      • For multi-step processes, implement numerical integration methods

      • Test for systematic deviations that might indicate model inadequacy

      • Consider Bayesian approaches for complex models with many parameters

  • Outlier Detection and Handling:

    • Approach: Implement robust statistical methods to identify and address outliers

    • Implementation:

      • Use Grubb's test or modified Z-scores to identify potential outliers

      • Examine experimental notes for anomalies before excluding data points

      • Perform sensitivity analysis by comparing results with and without outliers

      • Report all data transformations and exclusions transparently

  • Propagation of Error Analysis:

    • Approach: Track uncertainties through complex calculations

    • Implementation:

      • Use Monte Carlo methods to propagate errors in multi-step analyses

      • Generate parameter distributions rather than single values

      • Report derived quantities with appropriate confidence intervals

      • This is particularly important when comparing protein variants or conditions

  • Correlation Analysis for Structure-Function Relationships:

    • Approach: Statistically assess relationships between structural features and functional properties

    • Implementation:

      • Collect data on multiple UreE2 variants with systematic mutations

      • Calculate correlation coefficients between structural parameters and functional readouts

      • Implement multiple regression for complex relationships

      • Test for non-linear relationships using appropriate transformations

  • Power Analysis for Experimental Design:

    • Approach: Determine appropriate sample sizes for detecting effects of interest

    • Implementation:

      • Use preliminary data to estimate variance

      • Calculate required replicates to achieve desired statistical power

      • Consider practical constraints while ensuring statistical validity

      • Adjust for multiple comparisons when designing experiments

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