Recombinant speH is produced using heterologous expression systems to study its enzymatic mechanisms and polyamine metabolism.
Baculovirus: Yields soluble, active protein (Product Code: CSB-BP001658FPP) .
Mammalian Cells: Alternative system for post-translational modification studies (Product Code: CSB-MP001658FPP) .
Polyamine Biosynthesis: Essential for converting putrescine to spermidine in thermophilic bacteria .
Neofunctionalization Studies: Homologs of speH in other bacteria and archaea exhibit divergent decarboxylase activities (e.g., L-ornithine or L-arginine decarboxylation), highlighting evolutionary plasticity .
SpeH’s role extends beyond AdoMet decarboxylation. Phylogenetic analyses reveal horizontal gene transfer events and fusion proteins with dual pyruvoyl cofactors in diverse prokaryotes . For example:
AdoMetDC vs. Neofunctionalized Homologs:
Thermostability: Derived from Sulfurihydrogenibium sp., a thermophile isolated from geothermal environments , speH retains activity at high temperatures, making it suitable for industrial biocatalysis.
Enzyme Engineering: Structural insights from recombinant speH aid in designing synthetic enzymes for metabolic engineering .
KEGG: sul:SYO3AOP1_0324
STRING: 436114.SYO3AOP1_0324
S-adenosylmethionine decarboxylase (AdoMetDC/SAMDC, EC 4.1.1.50) catalyzes the decarboxylation of S-adenosylmethionine to form S-adenosyl-5′-3-methylthiopropylamine, which serves as an aminopropyl donor in polyamine biosynthesis. In extremophiles like Sulfurihydrogenibium sp., this enzyme likely plays a critical role in maintaining cellular function under extreme environmental conditions. The enzyme is initially synthesized as an inactive proenzyme that undergoes self-processing to generate two chains (alpha and beta) that form the active enzyme complex .
The recombinant Sulfurihydrogenibium sp. speH protein consists of 63 amino acids spanning the full expression region 1-63, as indicated in the product specifications. The sequence (MEKTLGLHILADLYGVDFE KIDHVEDVKALLEGAVKYAN LSKLSSHFHQFNPHGATGVI LLEE) represents the proenzyme form, which undergoes autocatalytic processing to cleave into two functional chains: the S-adenosylmethionine decarboxylase beta chain and the S-adenosylmethionine alpha chain. Unlike mesophilic bacterial homologs, this extremophile variant likely harbors structural adaptations that confer thermostability and tolerance to other extreme conditions, though detailed comparative structural studies would be required to elucidate the specific differences .
While comprehensive biochemical characterization data is not provided in the available literature, researchers working with this recombinant enzyme should note several key considerations:
As a protein from a thermophilic organism (Sulfurihydrogenibium sp.), the enzyme likely exhibits optimal activity at elevated temperatures (possibly 60-80°C)
The enzymatic activity typically requires pyruvoyl as a cofactor, which is generated through the autocatalytic cleavage of the proenzyme
For experimental design, researchers should include appropriate controls to determine:
pH optimum (likely in the range of pH 6.0-8.0)
Temperature stability profile
Cofactor dependencies
Specific activity under optimal conditions
Experimental validation of these parameters is essential when working with this particular recombinant form .
The manufacturer's recommendations indicate storage at -20°C for regular use, and -20°C or -80°C for extended storage periods. The recombinant protein has distinct storage stability profiles depending on its formulation:
For liquid formulations: The general shelf life is approximately 6 months when stored at -20°C/-80°C
For lyophilized formulations: The shelf life extends to approximately 12 months at -20°C/-80°C
To maximize enzyme stability and prevent activity loss, researchers should:
Avoid repeated freeze-thaw cycles
Store working aliquots at 4°C for no more than one week
Add glycerol (recommended final concentration of 50%) when preparing aliquots for long-term storage
Centrifuge vials briefly before opening to bring contents to the bottom .
For optimal reconstitution of lyophilized recombinant speH, follow this methodological approach:
Briefly centrifuge the vial prior to opening to bring contents to the bottom
Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (manufacturer's default is 50%)
Prepare small aliquots to avoid repeated freeze-thaw cycles
Store reconstituted aliquots at -20°C/-80°C for long-term storage
This reconstitution approach helps maintain protein stability and enzymatic activity over time. The addition of glycerol prevents damage from ice crystal formation during freezing .
Verification of recombinant speH integrity and purity should employ multiple analytical techniques:
SDS-PAGE analysis: The manufacturer specifies >85% purity by SDS-PAGE. Researchers should confirm this by running the reconstituted protein on a gel alongside appropriate molecular weight markers. The expected pattern would show either the intact proenzyme or the processed alpha and beta chains, depending on whether autocatalytic processing has occurred.
Mass spectrometry: To verify the exact molecular mass and confirm protein identity.
Activity assay: Measuring the decarboxylation of S-adenosylmethionine to confirm functional integrity.
Western blot: Using specific antibodies against the protein or any engineered tags to confirm identity.
Circular dichroism: To assess proper folding of the protein structure.
This multi-method approach provides comprehensive verification of protein quality before proceeding with experiments .
When designing experiments with recombinant Sulfurihydrogenibium sp. speH, researchers should implement the following controls:
Negative enzyme control: Heat-inactivated enzyme preparation (95°C for 10 minutes) to establish baseline measurements
Substrate controls:
No-substrate control to measure background activity
Concentration gradient of S-adenosylmethionine to determine Km values
Cofactor controls:
Assays with and without potential cofactors to determine dependencies
EDTA-treated samples to assess metal ion requirements
Buffer composition controls:
pH series (typically pH 5.0-9.0) to determine optimal conditions
Different buffer systems at equivalent pH to rule out buffer-specific effects
Temperature series:
Activity measurements at different temperatures (20-80°C) to determine temperature optimum and stability
This comprehensive control framework enables accurate interpretation of experimental results and facilitates troubleshooting of unexpected outcomes .
Differentiating between the proenzyme and processed forms of speH requires targeted analytical approaches:
SDS-PAGE analysis:
Proenzyme: Single band at approximately 7 kDa (63 amino acids)
Processed form: Two distinct bands corresponding to alpha and beta chains
Size exclusion chromatography:
Different elution profiles for the proenzyme versus the processed enzyme complex
Activity measurements:
The proenzyme is inactive or minimally active
Processed form shows significant enzymatic activity
Monitoring the conversion from proenzyme to processed form can reveal autocatalytic processing kinetics
Conformational antibodies:
Using antibodies that specifically recognize either the proenzyme or processed form
A typical experimental approach would involve time-course sampling to monitor the autocatalytic processing event under various conditions .
To study the autocatalytic processing of speH proenzyme, researchers can employ these methodological approaches:
Time-course SDS-PAGE analysis:
Incubate the proenzyme under various conditions
Sample at defined time intervals (0, 15, 30, 60, 120 minutes)
Analyze by SDS-PAGE to visualize the conversion of proenzyme to processed chains
Mass spectrometry monitoring:
LC-MS/MS analysis of samples at different time points to identify processing intermediates
Peptide mapping to confirm cleavage site
Fluorescence spectroscopy:
Monitor structural changes during processing through intrinsic tryptophan fluorescence
FRET-based assays using labeled proenzyme
Inhibitor studies:
Test various protease inhibitors to determine specificity of autocatalytic mechanism
Site-directed mutagenesis of putative cleavage site residues
Kinetic analysis:
Measure the rate of processing under various conditions (pH, temperature, salt concentration)
Determine activation energy for the processing reaction
These approaches provide complementary data on the molecular mechanism of proenzyme activation .
For structural studies requiring high-purity, properly folded recombinant speH, consider this optimization framework:
Expression system refinement:
Compare E. coli strains (BL21(DE3), Rosetta, Arctic Express) for optimal expression
Test different promoter systems (T7, tac, araBAD) for expression level control
Optimize induction parameters (temperature, inducer concentration, duration)
Construct design considerations:
Test various fusion tags (His, GST, MBP, SUMO) for improved solubility
Design constructs with or without precision protease cleavage sites
Consider codon optimization for E. coli expression
Purification strategy:
Implement multi-step purification (IMAC followed by ion exchange and size exclusion)
Include reducing agents (DTT or β-mercaptoethanol) to prevent disulfide formation
Optimize buffer composition to maintain native conformation
Quality assessment metrics:
Dynamic light scattering to assess homogeneity
Thermal shift assays to evaluate stability
Activity assays to confirm functional integrity
Crystallization screening:
Both proenzyme and processed forms should be screened separately
Consider surface entropy reduction mutations for crystallization propensity
This systematic approach maximizes the likelihood of obtaining structurally informative material suitable for X-ray crystallography or cryo-EM studies .
When conducting comparative studies between thermophilic Sulfurihydrogenibium sp. speH and mesophilic homologs, researchers should address these methodological considerations:
Experimental condition standardization:
Develop assay conditions compatible with both enzymes
Consider temperature ranges where both enzymes retain measurable activity
Normalize activity measurements to protein concentration
Temperature-dependent properties to compare:
Thermal denaturation profiles (Tm values)
Activation energies (Ea) from Arrhenius plots
Temperature optima and activity ranges
Half-lives at various temperatures
Structural stability assessments:
Resistance to denaturants (urea, guanidinium chloride)
Proteolytic susceptibility comparisons
Differential scanning calorimetry profiles
Kinetic parameter comparison:
Km and kcat determinations across temperature ranges
Substrate specificity profiles
Inhibitor sensitivity patterns
Data presentation:
Use comparative tables showing parallel measurements
Generate temperature-activity profiles for visual comparison
This systematic comparative approach can reveal adaptations conferring thermostability and potential structure-function relationships .
Site-directed mutagenesis offers a powerful approach to deciphering the autocatalytic processing mechanism of speH through this methodological framework:
Target residue selection strategy:
Sequence alignment with characterized homologs to identify conserved residues
Focus on residues at or near the predicted cleavage site
Target catalytic residues inferred from structural models
Select residues involved in substrate binding
Mutation design principles:
Conservative substitutions (e.g., Ser→Thr, Asp→Glu) to test functional requirements
Radical substitutions (e.g., Ser→Ala, Asp→Asn) to abolish specific functions
Charge inversions to test electrostatic requirements
Experimental workflow:
Generate single-point mutants using standard PCR-based methods
Express and purify mutant proteins using identical protocols
Compare autocatalytic processing rates by time-course SDS-PAGE
Measure enzymatic activities of processed mutants
Data analysis framework:
Mutation | Processing Rate | Enzymatic Activity | Interpretation |
---|---|---|---|
Wild-type | 100% | 100% | Reference standard |
SerX→Ala | Reduced/Abolished | Reduced/Abolished | Essential for processing |
AspY→Asn | Unaffected | Unaffected | Not essential |
HisZ→Ala | Reduced | Normal | Involved in processing efficiency |
Follow-up structural studies:
X-ray crystallography or cryo-EM of processing-deficient mutants
MD simulations to model effects of mutations on protein dynamics
This systematic mutagenesis approach can reveal the precise molecular mechanism of autocatalytic activation .
When encountering low activity or instability issues with recombinant speH, implement this systematic troubleshooting approach:
Storage and handling assessment:
Verify adherence to recommended storage conditions (-20°C/-80°C)
Check freeze-thaw history (repeated cycles decrease activity)
Confirm proper glycerol concentration in storage buffer (ideally 50%)
Buffer optimization strategies:
Test different buffer systems (HEPES, Tris, phosphate) at various pH values
Add stabilizing agents (glycerol, trehalose, BSA at 0.1-1.0 mg/mL)
Include reducing agents (DTT or TCEP at 1-5 mM) to maintain thiol groups
Test metal chelators (EDTA) versus metal supplementation (Mg²⁺, Mn²⁺)
Activity enhancement approaches:
Pre-incubate at elevated temperature (40-60°C) to promote proper folding
Optimize substrate concentration to avoid potential substrate inhibition
Consider adding molecular crowding agents (PEG, Ficoll) to mimic cellular environment
Analytical troubleshooting:
Verify protein integrity by SDS-PAGE and western blotting
Check for protein aggregation using dynamic light scattering
Confirm proper proenzyme processing via SDS-PAGE
Systematic process optimization:
Parameter | Test Range | Optimal Condition | Effect on Activity |
---|---|---|---|
pH | 5.0-9.0 | e.g., pH 7.5 | e.g., 3-fold increase |
Temperature | 20-80°C | e.g., 65°C | e.g., 5-fold increase |
Salt (NaCl) | 0-500 mM | e.g., 150 mM | e.g., 2-fold increase |
Glycerol | 0-20% | e.g., 10% | e.g., stabilizing effect |
This methodical approach identifies and addresses specific factors affecting enzyme performance .
Differentiating between specific and non-specific activities requires rigorous experimental controls and comparative analysis:
Substrate specificity assessment:
Test activity with S-adenosylmethionine analogs and structurally related compounds
Determine kinetic parameters (Km, kcat) for each potential substrate
Calculate specificity constants (kcat/Km) to quantify preference
Inhibitor profiling:
Test known AdoMetDC inhibitors (e.g., methylglyoxal bis(guanylhydrazone))
Evaluate inhibition constants (Ki) and mechanisms (competitive, non-competitive)
Compare inhibition profiles with characterized homologs
Negative control design:
Generate catalytically inactive mutant (e.g., mutation at putative active site)
Use heat-inactivated enzyme preparations
Test with denatured protein to assess non-enzymatic reactions
Interference elimination:
Purify enzyme to high homogeneity (>95% by SDS-PAGE)
Run parallel assays with purified versus crude preparations
Include controls for potential contaminating activities from expression host
Activity validation:
Use multiple independent assay methods to confirm activity
Couple enzyme activity to secondary detection systems
Confirm product identity by mass spectrometry
This comprehensive approach ensures that observed activities are attributable to the recombinant speH rather than contaminants or artifacts .
When evaluating thermostability of speH from the thermophilic Sulfurihydrogenibium sp., implement these methodological considerations:
Temperature range selection:
Design experiments covering 20-100°C range
Include closer temperature intervals (5°C steps) around expected transition points
Include temperatures relevant to both storage and reaction conditions
Thermostability measurement techniques:
Residual activity assays: Pre-incubate at test temperatures, measure remaining activity
Thermal shift assays: Use fluorescent dyes (SYPRO Orange) to monitor unfolding
Circular dichroism spectroscopy: Monitor secondary structure changes with temperature
Differential scanning calorimetry: Determine precise melting transitions
Time-dependent thermal inactivation:
Measure activity decay at constant elevated temperatures over time
Determine half-life at various temperatures
Generate Arrhenius plots to determine activation energy of inactivation
Buffer and additive effects:
Test thermostability in various buffer systems
Evaluate stabilizing additives (salts, polyols, compatible solutes)
Assess pH effects on thermal stability
Data analysis framework:
Parameter | Measurement Method | Expected Range for Thermophilic Enzyme |
---|---|---|
Tm (melting temperature) | DSC, thermal shift | 70-95°C |
T50 (temperature for 50% activity) | Residual activity | 65-85°C |
Half-life at 60°C | Time-course inactivation | Hours to days |
Activation energy of inactivation | Arrhenius analysis | 100-300 kJ/mol |
These approaches provide comprehensive characterization of the thermal properties expected of an enzyme from a thermophilic organism like Sulfurihydrogenibium sp. .
Recombinant Sulfurihydrogenibium sp. speH serves as an excellent model system for studying extremophile enzyme adaptation through these research applications:
Comparative genomics framework:
Align speH sequences across thermophilic, mesophilic, and psychrophilic organisms
Identify conserved versus variable regions correlating with thermal adaptation
Calculate amino acid composition biases associated with thermostability
Structure-function relationship studies:
Compare crystal structures of thermophilic versus mesophilic homologs
Analyze differences in ion-pair networks, surface hydrophobicity, and loop regions
Investigate hydrogen bonding patterns and conformational flexibility
Chimeric enzyme construction:
Generate domain-swapping constructs between thermophilic and mesophilic variants
Identify specific regions conferring thermostability
Test the additivity of thermostabilizing features
Directed evolution approaches:
Use speH as starting point for evolution toward different temperature optima
Identify minimal mutations required for adaptation to new thermal environments
Test evolutionary predictions from comparative sequence analysis
Industrial enzyme engineering:
Apply insights from thermostable speH to engineer stability in homologous enzymes
Develop predictive models for enzyme thermostabilization
This research framework contributes to our fundamental understanding of protein adaptation to extreme environments while providing practical insights for enzyme engineering .
Investigating the role of speH in polyamine metabolism under extreme conditions represents an important research direction:
Metabolic context analysis:
Characterize the complete polyamine biosynthetic pathway in Sulfurihydrogenibium sp.
Compare polyamine profiles in cells grown under different stress conditions
Analyze transcriptional regulation of speH and related genes under stress
Stress response mechanisms:
Evaluate how polyamine levels change in response to temperature shifts
Determine if speH activity is rate-limiting in polyamine biosynthesis
Assess protective effects of polyamines on cellular macromolecules
Comparative metabolomics:
Compare polyamine profiles between thermophilic and mesophilic organisms
Correlate polyamine composition with environmental adaptation
Identify novel polyamines potentially unique to extremophiles
Cellular physiology investigations:
Determine intracellular localization of speH and polyamines
Assess interaction partners of speH through pull-down experiments
Evaluate phenotypic effects of speH knockout/overexpression
Experimental design considerations:
Research Question | Experimental Approach | Expected Outcome |
---|---|---|
Is speH upregulated under stress? | qRT-PCR under various conditions | Transcriptional regulation pattern |
Are polyamines protective at high temperatures? | In vitro protection assays | Quantitative stabilization effects |
Does speH activity limit polyamine synthesis? | Metabolic flux analysis | Rate-limiting step identification |
Do unique polyamines exist in thermophiles? | LC-MS/MS metabolomics | Novel polyamine structures |
This research direction connects enzymatic function to cellular physiology and ecological adaptation .
Optimizing recombinant Sulfurihydrogenibium sp. speH for biotechnological applications involves these strategic approaches:
Protein engineering strategies:
Rational design based on structural information to enhance desired properties
Directed evolution through error-prone PCR and screening
Computational design to predict stabilizing mutations
Enzyme immobilization on various matrices for reusability
Expression system optimization:
Codon optimization for high-level expression in industrial hosts
Evaluation of different expression systems (bacterial, yeast, insect)
Scale-up considerations for industrial production
Development of continuous production systems
Application-specific modifications:
Engineering substrate specificity for biotransformation applications
Enhancing solvent tolerance for non-aqueous applications
Optimizing pH range for specific industrial processes
Improving long-term stability under application conditions
Process integration considerations:
Compatibility with upstream and downstream processes
Immobilization formats for continuous operations
Cofactor regeneration systems for economical operation
Enzyme cascade design for multi-step transformations
Performance metrics framework:
Optimization Target | Engineering Approach | Evaluation Method |
---|---|---|
Thermostability | Disulfide engineering | Half-life at elevated temperatures |
Catalytic efficiency | Active site mutagenesis | kcat/Km determination |
Expression yield | Fusion tags, chaperone co-expression | Quantitative protein analysis |
Operational stability | Immobilization, formulation | Activity retention over time |
This comprehensive optimization framework addresses the multifaceted requirements for successful biotechnological application of thermostable enzymes like speH .