Recombinant Methanococcus maripaludis S-adenosylmethionine decarboxylase proenzyme (speH)

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Product Specs

Form
Lyophilized powder

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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 collect 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%, provided as a guideline for your reference.
Shelf Life
Shelf life depends on various 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. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during the manufacturing process.

The specific tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its implementation.

Synonyms
speH; MMP1583; S-adenosylmethionine decarboxylase proenzyme; AdoMetDC; SAMDC; EC 4.1.1.50) [Cleaved into: S-adenosylmethionine decarboxylase beta chain; S-adenosylmethionine decarboxylase alpha chain]
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-62
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Methanococcus maripaludis (strain S2 / LL)
Target Names
speH
Target Protein Sequence
MKQLGKHIIL ELWGCESQAL DDQPGIEKML VNAVKACGAT LICVKTHKFS PQGVTGVAVL SE
Uniprot No.

Target Background

Function
This enzyme catalyzes the decarboxylation of S-adenosylmethionine to S-adenosylmethioninamine (dcAdoMet), the propylamine donor essential for the biosynthesis of the polyamines spermine and spermidine from putrescine.
Database Links

KEGG: mmp:MMP1583

STRING: 267377.MMP1583

Protein Families
Prokaryotic AdoMetDC family, Type 1 subfamily

Q&A

What is Methanococcus maripaludis and why is it significant for genetic engineering studies?

Methanococcus maripaludis is a well-characterized mesophilic and hydrogenotrophic methanogen commonly found in tidal marshes. It has substantial significance in genetic engineering studies due to its robust genetic system, rapid growth in mineral medium, and specific requirement for marine salt levels for optimal growth. This organism competes with sulfate and iron-reducing bacteria for hydrogen gas (H₂) and formate, which serve as its primary energy sources . The genus has become an important model system in methanogen research due to the extensive genetic tools developed for its manipulation, making it valuable for both fundamental methanogen biology and biotechnological applications.

What is S-adenosylmethionine decarboxylase (AdoMetDC) and what role does the speH gene play?

S-adenosylmethionine decarboxylase (AdoMetDC) is a critical enzyme in the polyamine biosynthetic pathway that catalyzes the conversion of S-adenosylmethionine (AdoMet) to decarboxylated AdoMet . This enzyme is noteworthy because it undergoes an unusual post-translational modification known as internal serinolysis, which generates the essential pyruvoyl group at the active site required for the decarboxylation process. The speH gene encodes the proenzyme form of AdoMetDC in Methanococcus maripaludis. This proenzyme must undergo autocatalytic cleavage to produce the active enzyme comprising α and β subunits with the catalytic pyruvoyl group at the N-terminus of the α subunit . The enzyme is particularly significant in research settings because of its importance in cell growth regulation and its potential as a target for anti-cancer and anti-parasitic therapeutic development.

How does the structure of M. maripaludis AdoMetDC compare to AdoMetDC from other organisms?

M. maripaludis AdoMetDC shares structural similarities with AdoMetDC from other organisms but also exhibits distinctive characteristics. Based on comparative structural biology studies, AdoMetDC structures have been determined from various organisms including Homo sapiens, Solanum tuberosum, Thermotoga maritima, and Aquifex aeolicus . While the core catalytic mechanisms involving the pyruvoyl group are conserved, there are significant differences in substrate binding and specificity determinants.

In human AdoMetDC, the substrate specificity arises from cation-π interactions between the sulfonium ion of the substrate and aromatic rings from residues Phe223 and Phe7, providing stabilization of approximately 4.5 kcal/mol . The human enzyme binds ligands in a higher energy conformation with π-π stacking between the adenine ring and aromatic residues, hydrogen bonds between the adenine base and Glu67, and electrostatic interaction between the sulfonium ion and the adenine ring's N3 atom .

The archaeal AdoMetDC from M. maripaludis shows adaptations reflecting its evolutionary lineage and the different environmental conditions it faces compared to eukaryotic counterparts, though the specific structural details from M. maripaludis are not fully elucidated in the search results provided.

What genetic tools and techniques are most effective for recombinant expression of M. maripaludis speH?

For effective recombinant expression of M. maripaludis speH, researchers should consider the following genetic tools and techniques based on established methodologies:

Gene Amplification and Cloning Strategy:

  • Extract genomic DNA from M. maripaludis cultures using standardized extraction kits (similar to the Qiagen Blood and Tissue Kit method used for Sphingomonas)

  • Design primers that specifically amplify the speH gene with appropriate restriction sites for subsequent cloning

  • Utilize high-fidelity DNA polymerases (such as Phusion) for PCR amplification

  • Implement PCR programs with optimized conditions: initial denaturation at 98°C, followed by 30-35 cycles of denaturation, annealing at a temperature appropriate for the primers, and extension at 72°C

Expression Vector and Host Selection:

  • Select appropriate expression vectors such as pRSFduet or similar vectors that have been demonstrated effective for methanogen genes

  • Process PCR products through double digestion with restriction enzymes compatible with the designed primers and vector

  • Choose appropriate E. coli expression strains, such as T7 Express Competent cells, that have proven successful for expressing archaeal proteins

Expression Optimization:

  • Test various induction conditions, including IPTG concentration, temperature, and duration

  • Consider codon optimization if expression levels are suboptimal

  • Incorporate tags that facilitate purification while minimizing interference with protein folding and function

These recommendations are adapted from similar successful recombinant protein expression methodologies for other enzymes and tailored to the specific characteristics of M. maripaludis proteins.

How does syntrophic growth affect the expression and activity of S-adenosylmethionine decarboxylase in M. maripaludis?

Syntrophic growth significantly alters the expression profile of M. maripaludis, including potential effects on S-adenosylmethionine decarboxylase activity. Based on comparative studies of M. maripaludis grown syntrophically with Desulfovibrio vulgaris versus monocultures under hydrogen limitation, several patterns emerge:

  • Transcriptional reprogramming: Syntrophically grown M. maripaludis exhibits decreased transcript abundance for energy-consuming biosynthetic functions while increasing transcript abundance for genes involved in energy-generating central pathways for methanogenesis . This metabolic shift likely affects AdoMetDC expression, as polyamine biosynthesis is energetically costly.

  • Differential regulation of paralogous genes: When grown syntrophically, paralogous genes in M. maripaludis often show divergent responses, with one variant increasing in relative abundance while others remain unchanged or decrease . If speH has paralogs in M. maripaludis, they might be differentially regulated under syntrophic conditions.

  • Shift in redox enzyme preference: Syntrophic growth appears to favor pathways that use H₂ directly as a reductant rather than those using reduced deazaflavin (coenzyme F₄₂₀) . This could influence the redox environment for AdoMetDC function.

  • Potential metabolite cross-feeding: The discovery of interspecies alanine transfer in syntrophic cultures suggests complex metabolic interactions that may indirectly affect polyamine biosynthesis pathways where AdoMetDC functions.

A comparative data table of typical expression changes observed during syntrophic growth that might affect AdoMetDC:

Cellular FunctionChange in Monoculture (H₂-limited)Change in Syntrophic Culture
Biosynthetic pathwaysBaseline expressionDecreased transcript abundance
Energy-generating pathwaysBaseline expressionIncreased transcript abundance
H₂-utilizing enzymesBaseline expressionPreferentially upregulated
F₄₂₀-dependent enzymesBaseline expressionRelatively downregulated
Interspecies metabolite exchangeNot applicableNew metabolic interactions (e.g., alanine transfer)

These alterations in cellular metabolism during syntrophic growth would likely affect AdoMetDC expression and activity, potentially as part of a broader cellular strategy to adapt to near-thermodynamic-threshold growth conditions .

What mechanisms govern the post-translational processing of AdoMetDC proenzyme in M. maripaludis, and how do they differ from other organisms?

The post-translational processing of AdoMetDC proenzyme in M. maripaludis involves an autocatalytic internal serinolysis reaction that generates the essential pyruvoyl group at the active site. While the specific details for M. maripaludis are not fully described in the provided search results, we can extrapolate from known mechanisms in other organisms:

General AdoMetDC Processing Mechanism:

  • The proenzyme undergoes a non-hydrolytic serinolysis reaction

  • This results in cleavage of the peptide backbone between the serine (that becomes the pyruvoyl group) and the preceding residue

  • The serine is converted to a pyruvoyl group through dehydration

  • The process generates α and β subunits with the catalytic pyruvoyl group at the N-terminus of the α subunit

Comparison of Processing Mechanisms:

AspectHuman AdoMetDCPredicted M. maripaludis AdoMetDC
Catalytic residuesSer68 (becomes pyruvoyl), His243, Cys82, Glu247Likely conserved serine, but archaeal-specific residue context
Processing rateEnhanced by putrescineMay have archaeal-specific regulators
Structural elementsCritical fold with α/β sandwich architectureLikely adapted to marine salt environments
Substrate bindingHigher energy conformation stabilized by aromatic residuesMay utilize different stabilizing interactions
Inhibition profilesWell-characterized with multiple inhibitorsLikely has distinct inhibitor sensitivity

The differences in processing mechanisms likely reflect evolutionary adaptations to the distinct cellular environments and metabolic contexts of archaeal versus eukaryotic cells. The archaeal AdoMetDC may have adaptations for functioning optimally under the conditions found in methanogens, including high salt concentrations and unique redox conditions .

What protocols yield the highest activity for purified recombinant M. maripaludis AdoMetDC?

To achieve optimal activity for purified recombinant M. maripaludis AdoMetDC, researchers should consider the following protocol recommendations:

Expression Optimization:

  • Transform expression plasmid containing the M. maripaludis speH gene into an appropriate E. coli strain, such as T7 Express

  • Culture transformants in LB medium supplemented with appropriate antibiotics

  • Induce protein expression at OD₆₀₀ of 0.6-0.8 with 0.1-0.5 mM IPTG

  • Lower post-induction temperature to 25-30°C to enhance proper folding

  • Extend expression time to 16-18 hours for maximum yield of properly processed enzyme

Purification Strategy:

  • Harvest cells by centrifugation at 5,000 × g for 15 minutes at 4°C

  • Resuspend cell pellet in lysis buffer containing:

    • 50 mM Tris-HCl, pH 8.0

    • 300 mM NaCl (reflecting M. maripaludis preference for marine salt levels)

    • 10% glycerol

    • 1 mM DTT (to maintain reducing environment)

    • Protease inhibitor cocktail

  • Disrupt cells using sonication or French press

  • Clarify lysate by centrifugation at 20,000 × g for 30 minutes at 4°C

  • Apply supernatant to appropriate affinity column based on incorporated tag

  • Include intermediate salt concentration washes to remove contaminants

  • Elute protein and perform buffer exchange to storage buffer

Activity Preservation:

  • Store purified enzyme in buffer containing:

    • 25 mM HEPES, pH 7.5

    • 100 mM NaCl

    • 1 mM DTT

    • 10% glycerol

  • Flash-freeze aliquots in liquid nitrogen and store at -80°C

  • Avoid repeated freeze-thaw cycles

Activity Assay Conditions:

  • Measure AdoMetDC activity using:

    • Optimal buffer: 50 mM potassium phosphate, pH 7.5, 5 mM putrescine

    • Substrate: 100 μM S-adenosylmethionine

    • Temperature: 37°C (optimal for mesophilic M. maripaludis)

    • Monitor released CO₂ using radiometric assays or detect decarboxylated AdoMet by HPLC

These recommendations incorporate principles from successful enzyme expression protocols adapted for the specific characteristics of M. maripaludis proteins, including their preference for marine salt concentrations and mesophilic growth conditions.

How can researchers distinguish between basic processing defects and catalytic defects when analyzing AdoMetDC mutants?

Distinguishing between processing defects (affecting proenzyme cleavage to generate the pyruvoyl group) and catalytic defects (affecting substrate binding or chemistry) in AdoMetDC mutants requires systematic analytical approaches:

Structural Characterization:

  • SDS-PAGE analysis: Processing-defective mutants will show a predominance of uncleaved proenzyme band, while catalytic mutants should show normal processing into α and β subunits

  • Mass spectrometry: Confirm the presence or absence of processing by accurate mass determination of protein species

  • X-ray crystallography: Determine if the pyruvoyl group forms properly and if other structural elements are preserved

Functional Analysis:

  • Processing rate measurements: Monitor the conversion of proenzyme to processed enzyme over time after expression

  • Substrate binding assays: Use isothermal titration calorimetry or fluorescence-based binding assays to distinguish binding defects from catalytic defects

  • Pre-steady state kinetics: Analyze individual steps in the catalytic cycle using stopped-flow or rapid quench techniques

Comparative Analysis Workflow:

Analysis StageProcessing Defect IndicatorsCatalytic Defect Indicators
Protein appearancePredominant unprocessed band on SDS-PAGENormal α/β subunit pattern on SDS-PAGE
Mass spectrometryMass consistent with unprocessed proenzymeMasses consistent with proper α/β processing
Structural integrityDisruption in residues near processing siteAlterations in substrate binding pocket or catalytic residues
Substrate bindingMay show normal binding if binding site formsAltered binding affinity or specificity
Reaction chemistryNo decarboxylation activity due to lack of pyruvoyl groupReduced reaction rate despite proper processing
Rescue experimentsMay be rescued by in vitro processing under forcing conditionsNot rescued by processing conditions

This systematic approach allows researchers to pinpoint whether mutations affect the initial autocatalytic processing step or subsequent catalytic steps, enabling more precise mechanistic understanding of AdoMetDC function .

What experimental approaches best elucidate the role of AdoMetDC in M. maripaludis polyamine metabolism under varying environmental conditions?

To comprehensively investigate the role of AdoMetDC in M. maripaludis polyamine metabolism across different environmental conditions, researchers should implement a multi-faceted experimental approach:

Genetic Manipulation Strategies:

  • Gene deletion and complementation: Generate ΔspeH knockout strains and complement with wild-type or mutant variants to assess phenotypic effects

  • Controlled expression systems: Develop tunable promoters for M. maripaludis to modulate speH expression levels

  • Reporter fusions: Create translational fusions with fluorescent proteins to monitor expression patterns in vivo

Environmental Response Profiling:

  • Growth condition variations:

    • H₂ limitation vs. excess

    • Varying salt concentrations

    • Different carbon sources

    • Syntrophic vs. monoculture growth

  • Stress response analysis: Examine AdoMetDC function under:

    • Oxidative stress

    • Temperature shifts

    • pH fluctuations

    • Nutrient limitation

Integrated Omics Approaches:

  • Transcriptomics: RNA-seq analysis to examine speH expression patterns relative to other polyamine biosynthesis genes

  • Proteomics: Quantify protein levels and post-translational modifications

  • Metabolomics: Monitor polyamine pools and related metabolites

  • Fluxomics: Trace isotope-labeled precursors through the polyamine biosynthetic pathway

Data Integration Framework:

Experimental ApproachPrimary Data GeneratedSecondary AnalysisIntegration Point
Gene deletionGrowth phenotypes, metabolite profilesIdentification of essential conditionsMap conditions where AdoMetDC is critical
TranscriptomicsGene expression patternsCoregulation networksIdentify regulatory connections
ProteomicsProtein abundance, modificationsProtein-protein interactionsDetermine processing efficiency
MetabolomicsPolyamine concentrationsMetabolic bottlenecksConnect enzyme activity to metabolite levels
Environmental variationCondition-specific responsesAdaptive mechanismsMap environmental response networks

By integrating these approaches, researchers can build a comprehensive model of how AdoMetDC functions within the broader context of M. maripaludis metabolism and how its activity is modulated in response to changing environmental conditions, including the significant metabolic reprogramming that occurs during syntrophic growth .

How can researchers address problems with recombinant M. maripaludis AdoMetDC inactivity after expression?

When facing inactivity of recombinant M. maripaludis AdoMetDC after expression, researchers should systematically troubleshoot using the following approach:

Problem Identification and Resolution Framework:

  • Improper protein processing:

    • Symptom: SDS-PAGE shows primarily unprocessed proenzyme

    • Solution: Optimize expression conditions by lowering temperature to 20-25°C or extending expression time to allow complete autoprocessing

    • Alternative: Attempt in vitro processing by incubating purified proenzyme under mild denaturing conditions (1-2 M urea) with extended time at 30°C

  • Incorrect protein folding:

    • Symptom: Protein aggregates or appears in inclusion bodies

    • Solution: Express with molecular chaperones such as GroEL/ES or trigger factor

    • Alternative: Use archaeal expression hosts such as Haloferax volcanii for more authentic folding environment

  • Insufficient ionic conditions:

    • Symptom: Low activity despite proper processing

    • Solution: Include marine salt levels (0.3-0.5 M NaCl) in all buffers to mimic M. maripaludis's natural environment

    • Verification: Test activity across a salt concentration gradient

  • Redox sensitivity:

    • Symptom: Activity loss during purification

    • Solution: Maintain reducing conditions throughout purification with 1-5 mM DTT or 2-mercaptoethanol

    • Verification: Test activity recovery with different reducing agents

  • Missing cofactors or activators:

    • Symptom: Purified enzyme shows minimal activity

    • Solution: Test addition of putrescine or other polyamines as potential activators

    • Investigation: Perform metabolomic analysis of M. maripaludis cell extracts to identify potential native activators

Decision Tree for Troubleshooting:

ObservationInitial TestIf PositiveIf Negative
No visible processingSDS-PAGE analysisOptimize processing conditionsCheck for mutation in processing site
Visible processing but no activitySubstrate binding assayFocus on catalytic conditionsConsider structural integrity issues
Activity in crude extract but lost during purificationActivity assay with redox agentsInclude reducing agentsTest for lost cofactors
Low activity compared to native enzymeSalt/ion titrationAdjust buffer compositionConsider protein-protein interactions
Inconsistent activity between batchesExpression condition comparisonStandardize protocolSequence verify expression construct

By systematically working through these troubleshooting approaches, researchers can identify and resolve the specific factors limiting recombinant M. maripaludis AdoMetDC activity, leading to more consistent and reliable experimental results .

What strategies can overcome the challenges of expressing archaeal proteins in bacterial systems?

Expressing archaeal proteins like M. maripaludis AdoMetDC in bacterial systems presents unique challenges due to differences in cellular machinery, codon usage, and folding environments. The following strategies can help overcome these obstacles:

Genetic Optimization Approaches:

  • Codon optimization:

    • Adjust codon usage to match the expression host's preference

    • Eliminate rare codons that might cause ribosomal pausing

    • Balance GC content for efficient transcription

  • Expression vector selection:

    • Use low-copy vectors for toxic or membrane-associated proteins

    • Select vectors with tight expression control for potentially toxic proteins

    • Consider vectors with solubility-enhancing fusion tags such as SUMO, MBP, or TrxA

Expression Condition Optimization:

  • Temperature modulation:

    • Lower expression temperature to 15-25°C to slow folding and reduce aggregation

    • Implement temperature shifts: grow at 37°C until induction, then reduce temperature

  • Induction parameters:

    • Use lower inducer concentrations (0.01-0.1 mM IPTG instead of 1 mM)

    • Induce at higher cell densities (OD₆₀₀ of 0.8-1.0)

    • Extend expression time to 16-24 hours at reduced temperature

  • Media optimization:

    • Supplement with additional trace minerals relevant to archaeal proteins

    • Add osmolytes like betaine or marine salts for halophilic proteins

    • Test auto-induction media for gradual protein expression

Host Engineering Solutions:

  • Specialized expression strains:

    • Use strains with additional tRNAs for rare codons (e.g., Rosetta)

    • Select strains with enhanced disulfide bond formation capabilities (e.g., Origami)

    • Consider strains with reduced protease activity (e.g., BL21)

  • Co-expression strategies:

    • Co-express molecular chaperones (GroEL/ES, DnaK/J)

    • Include archaeal-specific chaperones when available

    • Co-express metabolic enzymes needed for specific post-translational modifications

Comparative Success Rates for Different Strategies:

StrategyImpact on SolubilityImpact on ProcessingImpact on ActivityImplementation Difficulty
Codon optimizationHighMediumLowMedium
Fusion tagsVery highVariable (may inhibit)MediumLow
Temperature reductionHighGenerally positiveHighLow
Chaperone co-expressionMedium to highMediumMediumMedium
Archaeal expression hostMedium to highVery highVery highHigh
Salt/osmolyte additionCritical for halophilesVariableHigh for halophilesLow

By combining these approaches and systematically testing variations, researchers can significantly improve the likelihood of successfully expressing functional archaeal proteins in bacterial systems. The specific combination needed will depend on the particular properties of M. maripaludis AdoMetDC, including its salt requirements, processing mechanism, and structural complexity .

How might comparative genomics inform our understanding of AdoMetDC evolution across archaeal species?

Comparative genomics approaches offer powerful insights into the evolution of AdoMetDC across archaeal species, potentially revealing adaptation mechanisms and functional innovations. Future research in this direction should consider:

Evolutionary Analysis Framework:

  • Phylogenetic mapping:

    • Construct comprehensive phylogenetic trees of AdoMetDC sequences across all three domains of life

    • Identify horizontal gene transfer events that might have shaped archaeal AdoMetDC evolution

    • Map sequence conservation patterns to structural elements and catalytic functions

  • Structural comparative genomics:

    • Compare crystal structures from diverse organisms to identify conserved catalytic cores versus variable surface regions

    • Analyze how differences in quaternary structure relate to environmental adaptations

    • Correlate structural variations with differences in catalytic efficiency or substrate specificity

  • Genomic context analysis:

    • Examine the organization of speH and other polyamine biosynthesis genes across archaeal genomes

    • Identify conserved gene clusters or operons that might indicate functional relationships

    • Map regulatory elements and their conservation across methanogen species

Potential Research Implications:

Research ApproachExpected InsightsMethodological RequirementsPotential Applications
Sequence comparison across methanogensEnvironmental adaptation signaturesComprehensive genome samplingIdentify targets for environmental engineering
Structure-sequence correlationFunction-determining residuesStructural data from diverse speciesRational enzyme engineering
Regulatory network comparisonEvolution of metabolic controlTranscriptome data from multiple speciesSynthetic biology applications
Genomic context analysisFunctional associations and co-evolutionHigh-quality genome assembliesDiscovery of novel pathway connections
Horizontal gene transfer analysisEvolutionary origins of archaeal AdoMetDCRobust phylogenetic methodsUnderstanding archaeal-bacterial interactions

This research direction would significantly enhance our understanding of how AdoMetDC has evolved across archaeal lineages, particularly in methanogens like M. maripaludis, and how its structural and functional properties reflect adaptations to different environmental niches . The findings could inform both fundamental evolutionary biology and applied aspects of methanogen biotechnology.

What potential biotechnological applications could emerge from studying M. maripaludis AdoMetDC?

Research on M. maripaludis AdoMetDC has the potential to spawn innovative biotechnological applications across several domains:

Enzyme Engineering Applications:

  • Thermostable enzyme variants:

    • Engineer AdoMetDC variants with enhanced stability for industrial biocatalysis

    • Develop chimeric enzymes combining features from mesophilic M. maripaludis and thermophilic archaeal homologs

    • Create enzymes with broader pH tolerance for industrial applications

  • Substrate specificity modifications:

    • Design variants that can decarboxylate structurally related compounds for chemical synthesis

    • Engineer the active site to create novel carbon-carbon bond cleaving capabilities

    • Develop AdoMetDC variants for production of specialty chemicals

Therapeutic Target Development:

  • Antimicrobial design:

    • Leverage structural differences between archaeal and bacterial/eukaryotic AdoMetDC for selective inhibitor design

    • Develop compounds that target polyamine biosynthesis in pathogens

    • Use archaeal AdoMetDC as a scaffold for designing novel drug classes

  • Cancer therapy approaches:

    • Identify mechanisms that could translate to human AdoMetDC targeting in cancer cells

    • Develop archaeal-inspired inhibitors with reduced side effects

    • Engineer polyamine analogs based on structural insights from archaeal enzymes

Synthetic Biology and Metabolic Engineering:

  • Methane production optimization:

    • Manipulate polyamine biosynthesis to enhance methanogen growth and methane production

    • Engineer syntrophic relationships for improved bioenergy applications

    • Develop regulatory circuits using AdoMetDC as a metabolic control point

  • Novel pathway engineering:

    • Incorporate archaeal AdoMetDC into synthetic pathways for specialized metabolite production

    • Develop polyamine-derived specialty chemicals

    • Create hybrid pathways combining elements from all three domains of life

Potential Application Assessment:

Application AreaTechnical FeasibilityCommercial PotentialResearch Priority Areas
BiocatalysisMedium-HighMediumStability enhancement, substrate range expansion
Antimicrobial developmentMediumHighSelective inhibitor design, in vivo testing
Methane bioproductionHighHighGrowth optimization, syntrophic engineering
Synthetic metabolic pathwaysMediumMedium-HighPathway integration, regulation design
Structural biology toolsVery HighLow-MediumCrystallization improvements, structural studies

By exploring these diverse applications, research on M. maripaludis AdoMetDC could contribute to advances in biocatalysis, therapeutics, and renewable energy, leveraging the unique properties of archaeal enzymes for biotechnological innovation .

What integrative approaches will advance our understanding of AdoMetDC function in archaea?

Advancing our understanding of AdoMetDC function in archaea will require integrative approaches that combine multiple experimental paradigms and computational methods. Future research should focus on:

  • Multi-omics integration:

    • Combine transcriptomics, proteomics, and metabolomics data to build comprehensive models of polyamine metabolism in M. maripaludis

    • Correlate changes in AdoMetDC expression and processing with global cellular responses to environmental changes

    • Implement systems biology approaches to position AdoMetDC within the broader metabolic network

  • Structural-functional correlations:

    • Develop high-resolution structures of M. maripaludis AdoMetDC in different states

    • Implement molecular dynamics simulations to understand conformational changes during catalysis

    • Apply quantum mechanical calculations to elucidate the precise mechanism of pyruvoyl-dependent decarboxylation

  • Evolutionary and ecological context:

    • Examine the role of AdoMetDC in archaeal adaptation to diverse environments

    • Study how polyamine metabolism contributes to syntrophic relationships

    • Investigate potential roles in stress responses and cellular differentiation

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