Recombinant Anopheles gambiae NAD (P)H-hydrate epimerase (AGAP003324)

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Description

Introduction to Recombinant Anopheles gambiae NAD(P)H-hydrate Epimerase (AGAP003324)

Recombinant Anopheles gambiae NAD(P)H-hydrate epimerase, denoted as AGAP003324, is a recombinant enzyme produced in yeast. This enzyme is crucial for the metabolic processes in Anopheles gambiae, a primary vector of malaria. The enzyme's primary function is to facilitate the interconversion of the R and S epimers of NAD(P)H hydrates, which are damage products that can accumulate in cells due to oxidative stress or enzymatic errors.

Function and Importance of NAD(P)H-hydrate Epimerase

NAD(P)H-hydrate epimerase plays a pivotal role in maintaining cellular redox balance by ensuring that damaged NAD(P)H molecules are repaired. The enzyme catalyzes the reversible conversion between (6R)- and (6S)-6beta-hydroxy-1,4,5,6-tetrahydronicotinamide-adenine dinucleotide, as well as their phosphate forms . This process is essential for maintaining the availability of NAD(P)H, which is critical for various cellular metabolic pathways.

Production and Characteristics

The recombinant Anopheles gambiae NAD(P)H-hydrate epimerase is produced in yeast, ensuring high purity and efficiency . This production method allows for large-scale availability of the enzyme for research and potential therapeutic applications.

Research Findings and Applications

Research on NAD(P)H-hydrate epimerase has highlighted its role in metabolic repair and its potential implications beyond NAD(P)H repair. For instance, studies suggest that the enzyme may have a secondary function related to vitamin B6 metabolism . In Anopheles gambiae, understanding the metabolic pathways involving this enzyme could provide insights into the mosquito's physiology and potentially inform strategies for malaria control.

Data and Tables

While specific data tables for recombinant Anopheles gambiae NAD(P)H-hydrate epimerase (AGAP003324) are not readily available, the enzyme's characteristics and functions can be summarized as follows:

CharacteristicDescription
Enzyme NameNAD(P)H-hydrate epimerase
EC Number5.1.99.6
FunctionInterconversion of R and S epimers of NAD(P)H hydrates
Production MethodRecombinant production in yeast
Potential ApplicationsMetabolic repair, malaria research

References NAD(P)H-hydrate epimerase. Wikipedia. Anopheles metabolic proteins in malaria transmission, prevention... PMC. Recombinant Anopheles gambiae NAD (P)H-hydrate epimerase. Cusabio. Evidence that the metabolite repair enzyme NAD(P)HX epimerase... PubMed.

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: All proteins are shipped with standard blue ice packs unless dry ice shipping is specifically requested in advance. Additional charges apply for dry ice shipping.
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 serve 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 formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses 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
AGAP003324; NAD(P)H-hydrate epimerase; EC 5.1.99.6; NAD(P)HX epimerase
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-229
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Anopheles gambiae (African malaria mosquito)
Target Names
AGAP003324
Target Protein Sequence
MKYLNQQEAI SVDEELFNEY KFSVDQLMEL AGLSCAHAIA DAYSPDRSNK VLICCGPGNN GGDGLVAARH LSLMSFVPYV YYPKRTDKEL FKNLQHQAES MGITVSVDCP AGEWVEAEFG LIVDALFGFS FKPPVRESFR PIMEVLQKTK LPIVSVDIPS GWDVELGPQT DCDIMPDCLI SLTAPKLCAK HLVNAKHYLG GRFVPGKLEE KYAMNLPAYK GRDLFVRLS
Uniprot No.

Target Background

Function
This enzyme catalyzes the epimerization of S- and R-NAD(P)HX, a damaged form of NAD(P)H resulting from enzymatic or heat-induced hydration. This epimerization is essential for the subsequent action of the S-specific NAD(P)H-hydrate dehydratase, enabling the repair of both NAD(P)HX epimers.
Database Links
Protein Families
NnrE/AIBP family

Q&A

What is NAD(P)H-hydrate epimerase and what is its biochemical significance?

NAD(P)H-hydrate epimerase (EC 5.1.99.6) plays a critical role in metabolite repair pathways. The enzyme facilitates the interconversion between the R and S epimers of NAD(P)H hydrates (NAD(P)HX). Specifically, it catalyzes the conversion of (6R)-6beta-hydroxy-1,4,5,6-tetrahydronicotinamide-adenine dinucleotide to (6S)-6beta-hydroxy-1,4,5,6-tetrahydronicotinamide-adenine dinucleotide . This repair function is essential because NAD(P)HX can inhibit various dehydrogenases, potentially disrupting critical metabolic processes . The importance of this enzyme is underscored by the fact that epimerase deficiency in humans can lead to lethal disorders . The enzyme functions as part of an archetypal metabolite damage and repair system, partnering with NAD(P)HX dehydratase (EC 4.2.1.93), which specifically acts on the S form to regenerate functional NAD(P)H .

How conserved is NAD(P)H-hydrate epimerase across species and what does this suggest about its evolutionary importance?

NAD(P)H-hydrate epimerase demonstrates remarkable conservation across all domains of life, suggesting fundamental importance to cellular metabolism. Analysis of over 1,600 prokaryotic genomes revealed that 1,248 contained genes for both NAD(P)HX epimerase and dehydratase, with 97% of these organisms having the genes fused together . In prokaryotes, the epimerase is typically fused with the dehydratase, while in plants, it is interestingly fused to pyridoxine/pyridoxamine phosphate oxidase (PPOX), a vitamin B6 salvage enzyme . This evolutionary pattern of gene fusion and conservation suggests not only the importance of the epimerase activity but also implies potential additional functions beyond NAD(P)HX repair. The high conservation across diverse species indicates strong evolutionary pressure to maintain this enzyme system, highlighting its essential role in metabolism across the tree of life.

What evidence suggests Anopheles gambiae NAD(P)H-hydrate epimerase may have moonlighting functions?

Several lines of evidence suggest that the A. gambiae NAD(P)H-hydrate epimerase, like its counterparts in other organisms, may perform functions beyond its canonical role in NAD(P)HX repair. The most compelling evidence comes from gene fusion and co-expression patterns observed across different species. In particular:

  • In plants, the epimerase is fused to pyridoxine/pyridoxamine phosphate oxidase (PPOX), a vitamin B6 salvage enzyme, suggesting a functional relationship to B6 metabolism .

  • Epimerase genes cluster chromosomally with B6-related genes in bacteria, including those encoding PLP-dependent enzymes like alanine racemase and glutamate decarboxylase .

  • Co-expression data from yeast and Arabidopsis show that epimerase genes are part of expression networks involving PLP-dependent enzymes and amino acid metabolism genes .

  • Mutations affecting epimerase activity but not dehydratase activity in E. coli resulted in metabolome changes, particularly in amino acids, and reduced levels of free pyridoxal 5'-phosphate, further supporting a connection to vitamin B6 metabolism .

While direct evidence for Anopheles gambiae specifically is limited in the search results, the high conservation of this enzyme suggests similar moonlighting functions may exist in the mosquito enzyme, potentially connecting it to vitamin B6 metabolism or amino acid regulation.

What expression systems are optimal for producing functional recombinant Anopheles gambiae NAD(P)H-hydrate epimerase?

When selecting an expression system for recombinant A. gambiae NAD(P)H-hydrate epimerase, researchers should consider multiple options based on their specific research needs:

E. coli Expression System:

  • Advantages: Rapid growth, high yield, cost-effectiveness, and well-established protocols

  • Recommended strains: BL21(DE3) for standard expression; Rosetta-GAMI for addressing potential codon bias issues in the mosquito gene

  • Consider fusion partners such as His-tag for purification or MBP/GST for improved solubility

Insect Cell Expression System:

  • Advantages: More appropriate post-translational modifications and protein folding for arthropod proteins

  • Recommended cell lines: Sf9 or Sf21 (derived from Spodoptera frugiperda) or High Five cells

  • More likely to produce functionally active enzyme with native-like properties

Experimental approach:

  • Begin with a pilot expression study comparing multiple systems

  • Evaluate protein solubility, yield, and most importantly, enzymatic activity

  • Optimize expression conditions (temperature, induction time, media composition)

  • Scale up production of the most promising system

The choice between prokaryotic and eukaryotic systems should be guided by whether post-translational modifications are essential for the enzyme's function. For activity studies focused on the core catalytic function, E. coli expression may be sufficient, while studies of regulatory mechanisms might benefit from insect cell expression.

How can I design a reliable spectrophotometric assay to measure NAD(P)H-hydrate epimerase activity?

A robust spectrophotometric assay for NAD(P)H-hydrate epimerase activity can be designed based on established protocols, with appropriate controls and optimizations:

Assay components:

  • Buffer: 25 mM Tris-HCl, pH 8.0

  • Salts: 5 mM KCl, 2 mM MgCl₂

  • Stabilizer: 10 μg bovine serum albumin

  • Substrate: 40 μM purified mixture of NADHX epimers

  • Cofactor: 1 mM ADP

  • Enzyme: Purified recombinant protein (typically 2 μg per 100 μl reaction)

Measurement procedure:

  • Monitor absorbance at 340 nm at regular intervals (e.g., every 15 seconds)

  • Conduct assays at a controlled temperature (22°C recommended)

  • Start reactions by adding the enzyme to the pre-mixed components

  • Record kinetics for at least 4-5 minutes to capture the initial rate

Essential controls:

  • No-enzyme control to account for spontaneous epimer interconversion

  • Known active enzyme (e.g., Arabidopsis NAD(P)HX epimerase domain) as a positive control

  • Heat-inactivated enzyme preparation to confirm enzymatic nature of the activity

  • Catalytically inactive mutant (e.g., K192A equivalent in A. gambiae enzyme) as a negative control

Data analysis approach:

  • Calculate initial velocities from the linear portion of progress curves

  • Use extinction coefficient for NAD(P)H at 340 nm (6,220 M⁻¹cm⁻¹) for quantification

  • Apply appropriate statistical analysis to determine significant differences between conditions

This assay approach allows quantitative assessment of epimerase activity while controlling for spontaneous epimer interconversion, which occurs with a half-life of approximately 40 minutes under physiological conditions .

What blocking and randomization strategies should be implemented when designing experiments to study NAD(P)H-hydrate epimerase inhibition?

When designing experiments to study NAD(P)H-hydrate epimerase inhibition, implementing proper blocking and randomization strategies is crucial to minimize experimental bias and maximize statistical power:

Blocking strategies:

  • Time blocks: Divide experiments into blocks performed on different days to account for day-to-day variability in laboratory conditions

  • Reagent blocks: Group experiments that use the same batch of substrate, enzyme preparation, or inhibitor to control for batch-to-batch variation

  • Equipment blocks: When using multiple instruments (e.g., spectrophotometers), ensure treatments are balanced across instruments

  • Technician blocks: If multiple researchers perform the experiments, assign treatments equally across personnel

Randomization approaches:

  • Complete randomization: Randomly assign treatments to experimental units within each block

  • Stratified randomization: Ensure balanced representation of treatments across potentially confounding factors

  • Temporal randomization: Vary the order of assays to prevent systematic bias due to reagent degradation or instrument drift

Experimental design model:

  • A randomized complete block design (RCBD) is recommended, where each block contains all treatments

  • Example layout for testing 4 inhibitors plus controls:

BlockPosition 1Position 2Position 3Position 4Position 5Position 6
Day 1ControlInhibitor AInhibitor CInhibitor BInhibitor DControl
Day 2Inhibitor BControlInhibitor DInhibitor AControlInhibitor C
Day 3Inhibitor DInhibitor CControlControlInhibitor AInhibitor B

This approach reduces variability within blocks, making treatment effects easier to detect and allowing for more precise estimates of inhibition parameters. By efficiently allocating resources, blocking helps researchers achieve reliable results with fewer experimental units, saving time and research funds .

How can site-directed mutagenesis be used to investigate the catalytic mechanism of A. gambiae NAD(P)H-hydrate epimerase?

Site-directed mutagenesis offers a powerful approach to investigate the catalytic mechanism of A. gambiae NAD(P)H-hydrate epimerase, building on structural and functional insights from homologous enzymes:

Strategic mutation targets:

  • Conserved lysine residue: The equivalent of K192 in E. coli YjeF is a primary target, as mutation to alanine reduced epimerase activity by ≥95% in E. coli . Identify this residue in A. gambiae through sequence alignment.

  • Other active site residues: Target additional conserved residues in the putative active site based on structural predictions or homology models.

  • Substrate binding pocket: Residues involved in recognizing the adenine, ribose, or nicotinamide moieties of NAD(P)HX.

  • Potential B6-binding residues: If investigating the hypothesized moonlighting function, target residues that might interact with vitamin B6 compounds.

Methodological approach:

Combination with in vivo studies:

  • Complement enzymatic assays with metabolomic analyses of cells expressing mutant enzymes

  • Look for changes in amino acid profiles and vitamin B6 compounds, which were affected in E. coli K192A mutants

  • Measure NAD(P)HX levels to assess in vivo impact on metabolite repair

This integrated approach can identify catalytic residues, distinguish between residues affecting substrate binding versus catalysis, and potentially reveal functionally important regions supporting the enzyme's proposed moonlighting functions.

What evidence would support or refute the hypothesis that A. gambiae NAD(P)H-hydrate epimerase has a role in vitamin B6 metabolism?

Testing the hypothesis that A. gambiae NAD(P)H-hydrate epimerase has a role in vitamin B6 metabolism requires a multifaceted approach integrating several lines of evidence:

Supporting evidence would include:

  • Genomic context analysis:

    • Identification of chromosomal clustering between the A. gambiae epimerase gene and genes involved in vitamin B6 metabolism

    • Presence of shared regulatory elements with B6-related genes

  • Protein interaction studies:

    • Co-immunoprecipitation experiments showing physical interaction with enzymes involved in B6 metabolism

    • Yeast two-hybrid or proximity labeling studies identifying B6-related binding partners

  • In vitro biochemical evidence:

    • Direct binding assays showing interaction with pyridoxal 5'-phosphate (PLP) or related B6 vitamers

    • Structural studies revealing a binding pocket for B6 compounds

    • Activity modulation by B6 compounds

  • In vivo metabolomic evidence:

    • RNAi knockdown or CRISPR knockout of the epimerase gene in mosquito cells showing altered B6 metabolism

    • Metabolomic analysis revealing changes in:

      • Free vs. protein-bound PLP levels

      • B6 vitamer distribution

      • Activity of PLP-dependent enzymes

      • Amino acid profiles (particularly those dependent on PLP-enzymes)

Refuting evidence would include:

  • Absence of metabolic phenotypes:

    • No changes in B6 metabolism upon epimerase manipulation

    • Normal amino acid profiles in epimerase-deficient cells

  • Mutation studies:

    • Mutations affecting epimerase activity but not impacting B6 metabolism

    • Ability to rescue B6-related phenotypes through means unrelated to epimerase function

  • Alternative explanations:

    • Demonstration that observed phenotypes are indirect consequences of NAD(P)HX accumulation

    • Identification of different moonlighting functions unrelated to B6

How might the function of NAD(P)H-hydrate epimerase in A. gambiae differ from its mammalian counterparts, and what implications might this have for mosquito biology?

Understanding potential functional differences between A. gambiae NAD(P)H-hydrate epimerase and its mammalian counterparts requires examination of evolutionary, structural, and physiological factors:

Possible functional differences:

  • Structural adaptations:

    • Mosquito enzymes may have evolved temperature optimality reflecting poikilothermic physiology, unlike the constant temperature environment of mammalian enzymes

    • Potential differences in substrate specificity or catalytic efficiency reflecting the unique metabolic demands of hematophagous insects

  • Cellular localization differences:

    • Mammalian NAD(P)H-hydrate epimerase (NAXE) is found in multiple cellular compartments including mitochondria, cytosol, and extracellular spaces

    • A. gambiae enzyme localization patterns may differ, potentially affecting its functional roles in different cellular compartments

  • Integration with mosquito-specific metabolism:

    • Potential roles in processes unique to mosquito biology:

      • Blood meal metabolism and detoxification pathways

      • Responses to oxidative stress during blood digestion

      • Energy metabolism fluctuations during feeding/fasting cycles

  • Moonlighting functions:

    • Mammalian NAXE has been linked to binding apolipoprotein A-1 and potential roles in cholesterol transport

    • A. gambiae enzyme may have evolved different moonlighting functions relevant to mosquito biology

Methodological approaches to investigate differences:

  • Comparative biochemistry:

    • Side-by-side enzyme kinetics comparing recombinant A. gambiae and human enzymes

    • Thermal stability and pH dependency profiles

    • Substrate preference studies

  • Expression pattern analysis:

    • Tissue-specific expression in mosquitoes compared to mammals

    • Expression changes during different life stages and feeding states

  • Phenotypic studies:

    • RNAi or CRISPR-based functional studies in mosquito cells or organisms

    • Metabolomic profiling comparing wild-type and epimerase-modified mosquitoes

Implications for mosquito biology and potential applications:

  • Vector control strategies:

    • If the A. gambiae enzyme has unique structural features or functions, it could represent a target for mosquito-specific inhibitors

    • Understanding metabolic dependencies could reveal vulnerabilities in mosquito physiology

  • Physiological insights:

    • Connections to blood-feeding metabolism would enhance understanding of vector-host interactions

    • Potential roles in detoxification pathways could explain metabolic adaptations to diverse environments

This comparative approach would not only enhance fundamental understanding of enzyme evolution but could potentially identify mosquito-specific functions that might be exploited for vector control strategies.

How should researchers interpret discrepancies between in vitro and in vivo studies of NAD(P)H-hydrate epimerase function?

When encountering discrepancies between in vitro and in vivo studies of NAD(P)H-hydrate epimerase function, researchers should consider multiple factors that could explain these differences:

Potential causes of discrepancies:

  • Physiological context differences:

    • In vitro conditions rarely replicate the complex cellular environment

    • The presence of metabolic networks in vivo can compensate for enzyme deficiencies

    • E. coli studies showed that K192A mutations cutting in vitro epimerase activity by ≥95% had little impact on NAD(P)HX repair in vivo

  • Spontaneous reactions:

    • NAD(P)HX epimers equilibrate spontaneously with a half-life of approximately 40 minutes under physiological conditions

    • This non-enzymatic conversion may partially compensate for epimerase deficiency in vivo

  • Redundant pathways:

    • Alternative enzymatic or non-enzymatic mechanisms may exist in vivo

    • The dehydratase can function without the epimerase in some organisms

  • Enzyme fusion effects:

    • In many prokaryotes, epimerase and dehydratase are fused

    • Fusion proteins may exhibit different kinetic properties than individually expressed domains

Methodological approach to resolve discrepancies:

  • Conduct time-course studies:

    • Compare the kinetics of reactions in vitro and in vivo

    • Determine if differences are quantitative (rate) or qualitative (outcome)

  • Vary experimental conditions systematically:

    • Test multiple buffer compositions, pH values, and ion concentrations to identify conditions that better mimic in vivo results

    • Examine effects of macromolecular crowding agents to simulate cellular environments

  • Use multiple analytical approaches:

    • Complement spectrophotometric assays with mass spectrometry-based metabolomics

    • Track substrate and product levels directly rather than relying on indirect measurements

  • Implement mathematical modeling:

    • Develop kinetic models that incorporate spontaneous reactions and enzyme activities

    • Use these models to predict outcomes under various conditions and test predictions experimentally

Interpretation framework:

ObservationPotential InterpretationFollow-up Approach
Strong in vitro effect, weak in vivo effectCompensatory mechanisms or redundancyIdentify alternative pathways or compensation mechanisms
Weak in vitro effect, strong in vivo effectCellular factors enhancing activity or moonlighting functionsInvestigate cellular interaction partners or cofactors
Opposite effects in vitro vs. in vivoSecondary metabolic consequences or regulatory feedbackConduct comprehensive metabolomic analysis

These approaches can help researchers reconcile apparently contradictory results and develop a more complete understanding of NAD(P)H-hydrate epimerase function in its physiological context.

What statistical approaches are most appropriate for analyzing the effects of mutations on NAD(P)H-hydrate epimerase activity?

Recommended statistical framework:

  • Experimental design considerations:

    • Use a randomized complete block design to control for day-to-day variability

    • Include technical replicates (minimum 3) nested within biological replicates (minimum 3)

    • Include positive controls (wild-type enzyme) and negative controls (catalytically inactive mutant)

  • Preliminary data analysis:

    • Test for normality using Shapiro-Wilk test

    • Assess homogeneity of variance using Levene's test

    • Identify and address outliers using Grubbs' test or Dixon's Q test

  • Primary statistical approaches:

    • For comparing multiple mutants: One-way ANOVA followed by appropriate post-hoc tests

    • For comparing wild-type vs. single mutant: Student's t-test (paired if appropriate)

    • For non-normally distributed data: Non-parametric alternatives (Kruskal-Wallis, Mann-Whitney U)

  • Advanced analyses for kinetic parameters:

    • Use non-linear regression to fit Michaelis-Menten equations

    • Compare kinetic parameters (Km, kcat, kcat/Km) using extra sum-of-squares F test

    • Apply bootstrap resampling to generate confidence intervals for kinetic parameters

Data visualization approaches:

  • Activity comparisons:

    • Bar charts with error bars representing standard error or 95% confidence intervals

    • Include individual data points as dot plots overlaid on bars for transparency

  • Kinetic data:

    • Michaelis-Menten plots with fitted curves

    • Lineweaver-Burk or Eadie-Hofstee transformations for visual inspection of kinetic mechanisms

    • Residual plots to assess goodness of fit

  • Structure-function relationships:

    • Heat maps correlating mutation positions with activity changes

    • Structural visualization with activity data mapped to protein structure

Interpretation guidelines:

  • Effect size consideration:

    • Statistical significance should be complemented by evaluation of effect size

    • Calculate and report Cohen's d or similar metrics to quantify the magnitude of differences

  • Multiple testing correction:

    • Apply appropriate corrections (Bonferroni, Benjamini-Hochberg) when testing multiple mutations

    • Report both raw and adjusted p-values for transparency

  • Power analysis:

    • Conduct post-hoc power analysis to ensure experiments have sufficient power

    • Use results to inform sample size calculations for future studies

This comprehensive statistical approach will ensure robust analysis of mutation effects on epimerase activity, facilitating reliable structure-function interpretations and mechanistic insights.

How can metabolomic approaches be integrated with enzymatic assays to better understand the physiological roles of A. gambiae NAD(P)H-hydrate epimerase?

Integrating metabolomic approaches with enzymatic assays provides a powerful strategy to comprehensively understand the physiological roles of A. gambiae NAD(P)H-hydrate epimerase, particularly its potential moonlighting functions:

Integrated experimental design:

  • System perturbation strategies:

    • Generate defined genetic models:

      • CRISPR knockout/knockdown of epimerase in mosquito cells

      • Site-directed mutants affecting epimerase activity but not protein expression

      • Overexpression models to assess dose-dependent effects

    • Apply environmental or metabolic stressors:

      • Oxidative stress to increase NAD(P)H damage

      • Vitamin B6 depletion/supplementation to test B6-related functions

  • Multi-level analysis approach:

    • Enzyme activity measurements:

      • Direct spectrophotometric assays

      • Isotope tracing to follow metabolic flux

    • Targeted metabolomics:

      • Quantification of NAD(P)H and NAD(P)HX forms

      • Vitamin B6 vitamers and related compounds

      • Amino acid profiles

    • Untargeted metabolomics:

      • Global metabolic profiling to identify unexpected metabolic changes

      • Pathway enrichment analysis to detect patterns

Analytical methodologies:

  • Sample preparation optimization:

    • Rapid quenching of metabolism to capture transient metabolites

    • Extraction methods optimized for both NAD(P)H derivatives and B6 compounds

    • Subcellular fractionation to detect compartment-specific effects

  • Analytical platforms:

    • Liquid chromatography-mass spectrometry (LC-MS) for comprehensive metabolite profiling

    • Multiple reaction monitoring (MRM) for targeted quantification of key metabolites

    • Nuclear magnetic resonance (NMR) for structural confirmation of novel metabolites

  • Data integration approaches:

    • Correlation analysis between enzyme activity and metabolite levels

    • Principal component analysis (PCA) to identify major sources of variation

    • Partial least squares discriminant analysis (PLS-DA) to identify discriminatory metabolites

    • Network analysis to visualize metabolic connections

Example integrated workflow:

PhaseEnzymatic AnalysisMetabolomic AnalysisIntegration Approach
Baseline characterizationMeasure wild-type enzyme kineticsProfile wild-type metabolomeEstablish normal ranges and variation
PerturbationMeasure activity changes with mutations/conditionsIdentify metabolic shiftsCorrelation analysis between activity and metabolite changes
Mechanism explorationTest activity with candidate metabolitesTrace isotope-labeled substratesFlux analysis connecting enzyme activity to metabolic outcomes
ValidationIn vitro reconstitution with purified componentsMetabolic changes in response to enzyme supplementationDirect cause-effect relationship testing

This integrated approach would be particularly valuable for testing the hypothesis that A. gambiae NAD(P)H-hydrate epimerase has functions related to vitamin B6 metabolism, as suggested by studies in other organisms. The E. coli K192A mutant showed metabolome changes, particularly in amino acids, and reduced levels of free pyridoxal 5'-phosphate , suggesting that a similar approach in A. gambiae could reveal physiologically relevant functions beyond the canonical NAD(P)HX repair role.

What strategies can address the challenges of producing enzymatically active recombinant A. gambiae NAD(P)H-hydrate epimerase with high purity?

Producing enzymatically active recombinant A. gambiae NAD(P)H-hydrate epimerase with high purity presents several challenges, but these can be addressed through optimized strategies:

Expression optimization:

  • Codon optimization:

    • Analyze the A. gambiae gene for rare codons that might limit expression in the host system

    • Synthesize a codon-optimized gene for the chosen expression host

    • Alternatively, use specialized strains like Rosetta that supply rare tRNAs

  • Fusion tag selection:

    • Test multiple N-terminal and C-terminal fusion tags:

      • His6 tag for simple purification

      • MBP or GST for enhanced solubility

      • SUMO tag to improve folding and enable tag removal

    • Evaluate the impact of tag position on enzymatic activity

  • Expression conditions:

    • Optimize temperature (often lower temperatures improve folding)

    • Test various induction parameters (inducer concentration, induction timing)

    • Evaluate different media formulations

Purification strategy:

  • Multi-step purification approach:

    • Initial capture: Affinity chromatography based on fusion tag

    • Intermediate cleanup: Ion exchange chromatography

    • Polishing: Size exclusion chromatography

    • Consider additional steps for ultrahigh purity (>95%)

  • Protein stability considerations:

    • Include stabilizing agents throughout purification:

      • Glycerol (10-20%)

      • Reducing agents (DTT or β-mercaptoethanol)

      • Protease inhibitors

    • Determine optimal buffer composition and pH through stability screening

  • Activity preservation measures:

    • Minimize time between cell lysis and final purification

    • Consider purification at 4°C to reduce degradation

    • Test activity after each purification step to track activity loss

Quality control protocols:

  • Purity assessment:

    • SDS-PAGE with densitometry analysis

    • Mass spectrometry for identity confirmation

    • Dynamic light scattering to assess aggregation state

  • Activity verification:

    • Specific activity determination after each purification step

    • Calculation of purification fold and yield

    • Comparison to published values for related enzymes

Troubleshooting common issues:

ProblemPotential CausesSolution Strategies
Low solubilityImproper folding, aggregationLower expression temperature, test solubility tags, add osmolytes
Low activityMisfolding, inactive conformationScreen different buffer conditions, add potential cofactors
Contaminating proteinsNon-specific binding, protein-protein interactionsIncrease wash stringency, add secondary purification steps
Enzyme instabilityProteolysis, oxidationAdd protease inhibitors, maintain reducing environment

By systematically addressing these challenges, researchers can achieve preparations of A. gambiae NAD(P)H-hydrate epimerase with both high purity (>95%) and preserved enzymatic activity, suitable for detailed biochemical and structural characterization.

How can researchers distinguish between direct and indirect metabolic effects when studying A. gambiae NAD(P)H-hydrate epimerase function?

Distinguishing between direct and indirect metabolic effects is crucial when studying A. gambiae NAD(P)H-hydrate epimerase function, particularly given its potential moonlighting roles. This methodological challenge requires multiple complementary approaches:

Experimental approaches to establish causality:

  • Time-course studies:

    • Direct effects typically manifest more rapidly than indirect ones

    • Monitor metabolic changes at multiple time points after enzyme inhibition or activation

    • Establish temporal sequences of metabolic alterations

  • Dose-response relationships:

    • Titrate enzyme activity levels through partial inhibition or varying expression levels

    • Direct targets typically show proportional responses to enzyme activity changes

    • Indirect effects may show threshold responses or non-linear relationships

  • In vitro reconstitution:

    • Test purified enzyme with candidate substrates/interacting molecules

    • Demonstrate direct enzymatic action or binding in a defined system

    • Reconstitute minimal systems with increasing complexity to identify required components

  • Strategic mutations:

    • Design mutations that specifically affect one function without affecting others

    • Example: The K192A mutation in E. coli YjeF significantly reduced epimerase activity while preserving dehydratase function

    • Compare metabolic profiles between specific functional mutants

Analytical methods for pathway elucidation:

Decision framework for causality assessment:

Evidence TypeSupporting Direct EffectSupporting Indirect Effect
TemporalRapid response after enzyme perturbationDelayed response with intermediate steps identifiable
BiochemicalDemonstrable in vitro activity with purified componentsRequires additional cellular factors or sequential reactions
GeneticSpecific mutations affect both enzyme activity and metabolite levels proportionallyEffect persists with catalytically inactive mutants or requires additional genes
Flux analysisLabeled substrate directly converted to productLabel appears in product only after appearance in intermediates

Case study application:

For investigating the potential role of A. gambiae NAD(P)H-hydrate epimerase in vitamin B6 metabolism, researchers should:

  • Test direct binding or enzymatic action on B6 vitamers with purified enzyme

  • Compare timing of changes in NAD(P)HX levels versus B6-related metabolites after enzyme inhibition

  • Use isotope-labeled NAD(P)H to determine if label transfers to B6 compounds

  • Design mutations that specifically affect putative B6-related functions without affecting epimerase activity

This multifaceted approach can help resolve whether metabolic changes observed upon epimerase perturbation reflect direct enzymatic action or secondary consequences of altered NAD(P)HX metabolism.

What emerging technologies could advance our understanding of A. gambiae NAD(P)H-hydrate epimerase structure-function relationships?

Several cutting-edge technologies are poised to transform our understanding of A. gambiae NAD(P)H-hydrate epimerase structure-function relationships:

Structural biology advancements:

  • Cryo-electron microscopy (cryo-EM):

    • Advantages: Minimal sample requirements, visualization of different conformational states

    • Applications: Determine high-resolution structures without crystallization, visualize enzyme-substrate complexes

    • Specific value: Could reveal structural transitions during catalysis or identify potential B6 binding sites

  • Time-resolved X-ray crystallography:

    • Advantages: Captures enzyme dynamics during catalysis at atomic resolution

    • Applications: Visualize reaction intermediates and conformational changes during epimerase activity

    • Specific value: Could resolve mechanistic debates by providing direct observation of the catalytic cycle

  • AlphaFold2 and related AI structure prediction:

    • Advantages: Rapidly generates highly accurate structural models without experimental determination

    • Applications: Predict structures of mutant variants, model protein-ligand interactions

    • Specific value: Enable virtual screening of potential inhibitors or interacting partners

Functional genomics approaches:

  • CRISPR-Cas9 base editing and prime editing:

    • Advantages: Precise genomic modifications without double-strand breaks

    • Applications: Generate libraries of point mutants in A. gambiae cells or organisms

    • Specific value: Systematic structure-function mapping through targeted mutagenesis

  • Proximity labeling proteomics (BioID, APEX):

    • Advantages: Identifies proximal proteins in native cellular contexts

    • Applications: Map the protein interaction network of the epimerase in mosquito cells

    • Specific value: Could reveal unexpected interaction partners supporting moonlighting functions

Advanced biochemical methods:

  • Single-molecule enzymology:

    • Advantages: Observes individual enzyme molecules rather than ensemble averages

    • Applications: Detect substrate binding events, conformational changes, and catalytic steps

    • Specific value: Could reveal heterogeneity in enzyme behavior and rare events missed in bulk studies

  • Hydrogen-deuterium exchange mass spectrometry (HDX-MS):

    • Advantages: Maps dynamics and conformational changes in solution

    • Applications: Identify regions of structural flexibility and ligand-induced conformational changes

    • Specific value: Could highlight functionally important regions involved in substrate recognition or catalysis

Integration of computational and experimental approaches:

  • Molecular dynamics simulations with quantum mechanics/molecular mechanics (QM/MM):

    • Advantages: Models reaction mechanisms at atomic resolution

    • Applications: Simulate the epimerase reaction, including transition states

    • Specific value: Could distinguish between alternative catalytic mechanisms

  • Deep mutational scanning:

    • Advantages: Empirically tests thousands of mutations simultaneously

    • Applications: Comprehensively map sequence-function relationships

    • Specific value: Could identify residues critical for canonical and moonlighting functions

These emerging technologies, particularly when integrated in complementary approaches, promise to resolve longstanding questions about NAD(P)H-hydrate epimerase function and potentially reveal novel aspects of A. gambiae enzyme biology relevant to vector control strategies.

What are the most promising research directions for understanding the physiological significance of NAD(P)H-hydrate epimerase in mosquito development and reproduction?

Understanding the physiological significance of NAD(P)H-hydrate epimerase in mosquito development and reproduction represents a frontier in vector biology research, with several promising directions:

Developmental biology investigations:

  • Stage-specific expression and regulation:

    • Characterize expression patterns across developmental stages from embryo to adult

    • Determine if expression is regulated by hormonal cues during metamorphosis

    • Study epigenetic regulation of the epimerase gene during development

  • Tissue-specific functions:

    • Map expression and activity in different tissues, with focus on metabolically active tissues

    • Investigate potential specialized roles in:

      • Midgut (particularly during blood digestion)

      • Fat body (metabolic center)

      • Developing ovaries

  • Conditional knockout/knockdown approaches:

    • Generate tissue-specific or stage-specific gene silencing systems

    • Evaluate developmental phenotypes resulting from targeted epimerase depletion

    • Use precise CRISPR-based approaches to generate separation-of-function mutants

Reproductive biology focus:

  • Role in gonadal development:

    • Examine the epimerase's contribution to gametogenesis

    • Investigate potential connections to energy metabolism during reproduction

    • Study impacts on fertility and fecundity

  • Blood meal processing:

    • Analyze epimerase activity changes following blood meals

    • Investigate potential roles in managing oxidative stress during blood digestion

    • Examine interactions with vitamin B6-dependent processes in protein metabolism

  • Energy allocation during reproduction:

    • Study how epimerase activity affects energy homeostasis during vitellogenesis

    • Investigate connections between NAD(P)H metabolism and egg development

    • Examine potential roles in metabolic adaptation to different reproductive states

Integrative physiological approaches:

  • Metabolic network analysis:

    • Map interactions between NAD(P)H metabolism, amino acid pathways, and vitamin B6 functions

    • Develop flux models specific to mosquito physiology

    • Identify metabolic control points affected by epimerase activity

  • Environmental adaptation studies:

    • Investigate how environmental stressors (temperature, insecticides) affect epimerase function

    • Study potential adaptive roles under nutrient limitation

    • Examine interactions with symbionts that might complement metabolic functions

  • Comparative analysis across vector species:

    • Compare epimerase function across Anopheles species with different vectorial capacities

    • Study evolutionary adaptations in enzyme structure and regulation

    • Identify conserved versus species-specific functions

Translational research potential:

  • Vector control applications:

    • Assess whether epimerase inhibition could disrupt mosquito reproduction

    • Evaluate fitness costs associated with epimerase dysfunction

    • Screen for mosquito-specific inhibitors that don't affect mammalian orthologs

  • Interaction with pathogens:

    • Study how Plasmodium infection affects epimerase expression and activity

    • Investigate whether epimerase function influences vector competence

    • Identify potential metabolic interactions between host enzyme and parasite metabolism

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