Recombinant Leptospira interrogans serogroup Icterohaemorrhagiae serovar copenhageni Malate dehydrogenase (mdh)

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Product Specs

Form
Lyophilized powder. Note: We will prioritize shipping the format we have in stock. If you have specific format requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery times vary based on purchasing method and location. Please consult your local distributor for specific delivery information. Note: All proteins are shipped with standard blue ice packs. For dry ice shipping, please contact us in advance; additional charges apply.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. Adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C is recommended. Our default final glycerol concentration is 50% for your reference.
Shelf Life
Shelf life depends on several factors: storage conditions, buffer composition, storage temperature, and protein stability. Generally, the liquid form has a shelf life of 6 months at -20°C/-80°C, while the lyophilized form has a shelf life of 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during the manufacturing process. If you require a specific tag type, please inform us, and we will prioritize developing it.
Synonyms
mdh; LIC_11781Malate dehydrogenase; EC 1.1.1.37
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-326
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Leptospira interrogans serogroup Icterohaemorrhagiae serovar copenhageni (strain Fiocruz L1-130)
Target Names
mdh
Target Protein Sequence
MSKTVKVAVT GAAGQIGYSL LFRIASGQMF GADTAVEIQM LELEAAIPAA KGVIMELEDC AFPLLQKVTV SSDLDTAFKE INWALLVGSV PRKAGMERGD LLKINGGIFV NQGKAIEKNA ASDVRILVVG NPCNTNCLIA MNNAKGISQD RWFAMTKLDE NRAKSQLASK AGVPVKEVTH LGIWGNHSAT QYPDFYNTKI SGKPVTDVIS DHEWLKGDFI KNVQQRGAEI IKARGASSAA SAANGVVDTV RGIITPTAPG DCFSAAVVSD GSYGAEKGLI FGFPLKSDGK KVEIIQGISL NDFAKEKFKI THEELVSERN EVKEML
Uniprot No.

Target Background

Function
Catalyzes the reversible oxidation of malate to oxaloacetate.
Database Links
Protein Families
LDH/MDH superfamily, MDH type 2 family

Q&A

What is the genomic context of the mdh gene in Leptospira interrogans serovar copenhageni?

The mdh gene in L. interrogans serovar copenhageni exists within a complex genomic landscape characterized by significant variation between closely related serovars. Genomic comparison studies of 67 isolates belonging to L. interrogans serovars Copenhageni and Icterohaemorrhagiae have identified 1,072 SNPs (single nucleotide polymorphisms), with 796 located in coding regions and 276 in non-coding regions . Additionally, 258 indels (insertions/deletions) have been detected, with 191 in coding regions and 67 in non-coding regions . While these studies don't specifically highlight the mdh gene, they demonstrate the genomic variability that can affect protein-coding genes in this organism, providing important context for mdh research.

To study the mdh gene specifically, researchers should:

  • Utilize whole-genome sequencing data

  • Perform comparative genomic analyses between serovars

  • Examine conservation patterns across pathogenic Leptospira species

  • Investigate potential regulation mechanisms

How do I differentiate between L. interrogans serovar copenhageni and other serovars when working with recombinant mdh?

Differentiation between L. interrogans serovar copenhageni and other serovars, particularly serovar Icterohaemorrhagiae, requires multiple approaches for verification:

Genomic Differentiation Methods:

  • PCR amplification using serovar-specific primers: While iRep1 primer-based PCR cannot discriminate among L. interrogans serovar copenhageni isolates, it can differentiate strains belonging to different species and serogroups .

  • Targeted gene analysis: A frameshift mutation within the homopolymeric tract of lic12008 gene (involved in LPS biosynthesis) can genetically distinguish L. interrogans serovar Icterohaemorrhagiae from serovar Copenhageni with high discriminatory power .

Serological Differentiation:

  • Microscopic agglutination test (MAT) using monoclonal antibodies (F89 C12-6, F70 C14, F70 C24-20, and F12 C3-11) can classify isolates of serogroup Icterohaemorrhagiae as either serovar Copenhageni or Icterohaemorrhagiae .

For recombinant mdh work, it's essential to confirm the source organism's identity through these methods before proceeding with protein expression and characterization.

What expression systems are most effective for producing recombinant mdh from L. interrogans serovar copenhageni?

While the search results don't specifically address mdh expression systems, insights can be drawn from successful recombinant protein expression of related Leptospira proteins:

Recommended Expression Systems:

  • E. coli-based systems: Most commonly used for initial expression studies due to:

    • High yield potential

    • Well-established protocols

    • Lower cost and technical requirements

  • Considerations for optimal expression:

    • Codon optimization for E. coli is essential due to the AT-rich nature of Leptospira DNA sequences (as evidenced by the Rep1 element's AT-rich composition)

    • Selection of appropriate fusion tags (His, GST, or MBP) to enhance solubility

    • Testing multiple expression conditions (temperature, IPTG concentration, and induction time)

Expression should be validated through Western blot analysis and activity assays specific to malate dehydrogenase to confirm proper folding and functionality of the recombinant protein.

How does the structural and functional characterization of recombinant mdh contribute to understanding L. interrogans pathogenesis?

Understanding the structural and functional aspects of mdh from L. interrogans serovar copenhageni can provide crucial insights into pathogenesis through multiple mechanisms:

Metabolic Significance:

  • Malate dehydrogenase plays a key role in the TCA cycle and cellular energy production, potentially contributing to bacterial survival during infection

  • Adaptation of metabolic enzymes like mdh may enable Leptospira to thrive in diverse host environments

Host-Pathogen Interactions:
Research indicates that Leptospira interrogans binds to host cell surface receptors, particularly to glycosaminoglycan (GAG) chains of proteoglycans (PGs) . While mdh is primarily a metabolic enzyme, investigating whether it has moonlighting functions in host interaction is valuable, similar to how other bacterial metabolic enzymes can serve dual roles.

Comparative Analysis with Other Virulence Factors:
LipL32, a major outer membrane protein conserved among pathogenic Leptospira species, serves as an important immunogen during leptospirosis . Studies exploring potential interactions between mdh and established virulence factors like LipL32 could reveal synergistic mechanisms in pathogenesis.

Methodologically, researchers should employ:

  • Structural analysis through X-ray crystallography or cryo-EM

  • Enzyme kinetics studies with substrates from different host environments

  • Protein-protein interaction studies to identify binding partners

  • In vitro infection models to assess the impact of mdh knockouts/modifications

What are the challenges in ensuring enzymatic activity of recombinant L. interrogans serovar copenhageni mdh, and how can they be overcome?

Producing enzymatically active recombinant mdh from L. interrogans serovar copenhageni presents several challenges:

Common Challenges and Solutions:

ChallengeCauseSolution Methodology
Protein misfoldingDifferences in folding machinery between expression host and Leptospira- Lower expression temperature (16-20°C)
- Use of molecular chaperones
- Addition of folding enhancers like sorbitol or arginine
Low solubilityFormation of inclusion bodies- Fusion with solubility tags (MBP, GST, TRX)
- Optimization of lysis buffer conditions
- Refolding protocols if extraction from inclusion bodies is necessary
Loss of cofactorsDepletion of NAD+/NADH during purification- Supplementation with cofactors during purification
- Buffer optimization to maintain cofactor binding
Post-translational modification differencesAbsence of Leptospira-specific modifications in E. coli- Testing eukaryotic expression systems when necessary
- Engineering of critical residues

Activity Verification Methods:

  • Spectrophotometric assays measuring NAD+/NADH conversion

  • Isothermal titration calorimetry to assess substrate binding

  • Circular dichroism to confirm proper secondary structure

  • Size exclusion chromatography to verify oligomeric state

How can genomic approaches help resolve contradictory findings about L. interrogans serovar copenhageni mdh function?

When faced with contradictory findings regarding mdh function in L. interrogans serovar copenhageni, genomic approaches offer powerful resolution strategies:

Genomic Analysis Approaches:

  • Whole-genome sequencing and comparative genomics:

    • Analysis of 67 different strains of L. interrogans serovars Copenhageni and Icterohaemorrhagiae has revealed substantial genomic variation

    • SNP and indel analyses can identify strain-specific variations that might explain functional differences in mdh

  • Transcriptomic analysis:

    • RNA-seq under different growth conditions can reveal differential expression patterns

    • Identification of potential regulatory elements affecting mdh expression

  • Genetic manipulation techniques:

    • Gene knockout or knockdown studies to confirm phenotypic effects

    • Site-directed mutagenesis to explore the impact of specific residues on enzyme function

  • Population genetics approach:

    • Southern blot analysis using different restriction enzymes (BamHI, HindIII, and MfeI) can detect chromosomal variations that might influence mdh function

    • PCR-based typing methods can distinguish strains with potentially different mdh properties

When contradictory findings emerge, researchers should:

  • Verify the exact strain and serovar identity using serological and molecular methods

  • Document all experimental conditions precisely, as mdh function may be condition-dependent

  • Consider post-translational modifications that might differ between strains

  • Examine potential moonlighting functions beyond conventional metabolic roles

What are the optimal conditions for assessing the enzymatic activity of recombinant L. interrogans serovar copenhageni mdh?

Optimal Enzymatic Assay Conditions:

ParameterRecommended RangeRationale
pH7.2-7.8Mimics physiological conditions in host during infection
Temperature30-37°CEncompasses both environmental and mammalian host temperatures
Buffer50 mM phosphate or TrisMinimal interference with activity measurements
Substrate concentration0.1-5 mM malate/oxaloacetateAllows for Michaelis-Menten kinetics determination
Cofactor (NAD+/NADH)0.1-1 mMEnsures saturation without inhibition
Ionic strength50-150 mM NaClMimics physiological conditions

Activity Measurement Methodologies:

  • Spectrophotometric assays tracking NADH absorbance at 340 nm

  • Coupled enzyme assays for enhanced sensitivity

  • Isothermal titration calorimetry for thermodynamic parameters

  • Stopped-flow techniques for rapid kinetics

For meaningful comparisons, researchers should also consider:

  • Testing activity under different pH and temperature conditions to assess environmental adaptability

  • Comparing activity with mammalian mdh to identify potential drug target differences

  • Evaluating the effects of potential inhibitors or allosteric regulators

How can I develop a reliable PCR-based detection method for L. interrogans serovar copenhageni mdh gene in environmental or clinical samples?

Developing a reliable PCR-based detection method for the mdh gene requires careful consideration of several factors:

PCR Assay Development Strategy:

  • Primer design considerations:

    • Target conserved regions of the mdh gene based on multiple sequence alignments

    • Ensure specificity by checking primers against other Leptospira species and environmental bacteria

    • Optimal primer length: 18-25 bp with GC content of 40-60%

    • Avoid secondary structures and primer-dimer formation

  • PCR optimization protocol:
    Based on successful PCR protocols for Leptospira detection :

    • DNA extraction from 3-day culture pellets

    • Initial denaturation: 94°C for 5 min

    • 35 cycles of: 94°C for 30s, 50-60°C for 1.5 min (optimize annealing temperature), 72°C for 1-4 min

    • Final extension: 72°C for 7 min

    • MgCl₂ concentration: 2.5 mM

    • Use hot-start Taq polymerase for enhanced specificity

  • Validation approach:

    • Test against reference strains of L. interrogans serovar copenhageni (e.g., strain Winjberg)

    • Include negative controls and closely related serovars

    • Verify amplicon identity through sequencing

    • Determine analytical sensitivity (detection limit) using serial dilutions

    • Assess specificity using DNA from other bacterial species

  • Considerations for environmental/clinical samples:

    • Include internal amplification controls to detect inhibition

    • Develop sample processing protocols to remove PCR inhibitors

    • Consider nested PCR or qPCR for enhanced sensitivity in complex samples

What strategies can be employed to improve the yield and purity of recombinant L. interrogans serovar copenhageni mdh for structural studies?

Optimization Strategies for High-Yield, High-Purity Preparation:

  • Expression system enhancements:

    • Codon optimization considering the AT-rich nature of Leptospira DNA

    • Use of strong inducible promoters (T7, tac)

    • Testing specialized E. coli strains (BL21(DE3), Rosetta, Arctic Express)

    • Exploration of bacterial or eukaryotic expression systems if E. coli yields are insufficient

  • Cultivation optimization:

    • Batch feeding strategies to increase cell density

    • Temperature reduction after induction (16-20°C)

    • Extended, low-level induction periods

    • Supplementation with cofactors or substrates to stabilize the protein

  • Multi-step purification protocol:

    • Initial capture: Immobilized metal affinity chromatography (IMAC) for His-tagged protein

    • Intermediate purification: Ion exchange chromatography

    • Polishing: Size exclusion chromatography

    • Consider on-column refolding if inclusion bodies form

  • Protein quality assessment criteria for structural studies:

    • Homogeneity: >95% by SDS-PAGE and SEC-MALS

    • Stability: Thermal shift assays to identify stabilizing buffer conditions

    • Activity: Retention of enzymatic function

    • Monodispersity: Dynamic light scattering analysis

Yield Improvement Table:

Optimization ParameterStandard ApproachEnhanced Approach for Structural Studies
Expression temperature37°C16-20°C for 16-24 hours
MediaLBAuto-induction or enriched media (TB, 2xYT)
Induction1 mM IPTG0.1-0.5 mM IPTG with slow induction
Cell lysisSonicationGentle methods: freeze-thaw with lysozyme or cell disruption
Stabilizing additivesStandard buffersGlycerol (5-10%), reducing agents, substrate analogs
Concentration methodStandard ultrafiltrationGentle dialysis against PEG or staged concentration

How should I analyze and interpret contradictory results between in vitro and in vivo studies of L. interrogans serovar copenhageni mdh function?

When confronted with discrepancies between in vitro and in vivo findings regarding mdh function, consider the following analytical approach:

Systematic Analysis Framework:

  • Environmental differences assessment:

    • In vitro conditions rarely replicate the complex host environment

    • L. interrogans bacteria bind more efficiently to host cells than to extracellular matrix components , suggesting significant environmental influences on protein function

    • Evaluate whether differences in pH, temperature, ion concentration, or redox state could explain functional discrepancies

  • Protein-protein interaction considerations:

    • mdh may interact with host proteins in vivo

    • Investigate potential binding to glycosaminoglycan (GAG) chains of proteoglycans or other host cell components

    • Consider whether other bacterial proteins modulate mdh activity in vivo

  • Metabolic context evaluation:

    • In vivo metabolism involves complex regulatory networks

    • L. interrogans may alter mdh expression or post-translational modifications during infection

    • Consider the impact of host nutrients and competing metabolic pathways

  • Reconciliation strategies:

    • Design intermediate experimental systems (ex vivo or tissue explants)

    • Use more sophisticated in vitro models that better mimic host conditions

    • Employ genetic approaches (e.g., point mutations) to test specific hypotheses about functional differences

Understanding these discrepancies is crucial as they often reveal important biological insights about pathogen adaptation to host environments.

What bioinformatic approaches can be used to identify potential functional domains and catalytic sites in L. interrogans serovar copenhageni mdh?

Comprehensive Bioinformatic Analysis Pipeline:

  • Sequence-based analysis:

    • Multiple sequence alignment with mdh from other bacterial species

    • Identification of conserved residues across species

    • Domain prediction using NCBI CD-search and Pfam 27.0 sequence search tools

    • Motif identification for NAD+/NADH binding sites and substrate recognition

  • Structural prediction and analysis:

    • Homology modeling based on crystal structures of related malate dehydrogenases

    • Molecular dynamics simulations to identify stable conformations

    • Active site prediction based on structural alignment

    • Binding pocket analysis for substrate and cofactor interactions

  • Functional annotation transfer:

    • Identification of experimentally characterized homologs

    • Inference of function from well-studied malate dehydrogenases

    • Integration of genomic context information

    • Analysis of gene neighborhood for potential functional associations

  • Experimental validation design:

    • Identification of key residues for site-directed mutagenesis

    • Design of truncation constructs to test domain functionality

    • Prediction of post-translational modification sites

    • Development of activity assays based on predicted catalytic mechanism

This systematic approach allows researchers to develop testable hypotheses about mdh structure-function relationships.

How can I determine if genetic variations in the mdh gene contribute to differences in virulence among L. interrogans serovar copenhageni isolates?

Methodological Approach for Linking mdh Variants to Virulence:

  • Genetic variation characterization:

    • Whole-genome sequencing of multiple isolates with varying virulence

    • SNP and indel analysis focused on the mdh gene and regulatory regions

    • Assessment of population structure using techniques similar to those applied for serovar differentiation

    • Creation of a genetic variation database for correlation analysis

  • Virulence phenotyping:

    • Standardized animal infection models

    • Quantitative measures of bacterial burden in tissues

    • Histopathological assessment of tissue damage

    • Host immune response characterization

    • In vitro assays measuring adhesion to host cells (particularly relevant given L. interrogans' binding to cell surface receptors)

  • Statistical association analysis:

    • Correlation between specific mdh variants and virulence metrics

    • Multiple regression analysis to account for other genetic factors

    • Population genetics approaches to identify selection signatures

    • Phylogenetic analysis to track evolution of virulence-associated variants

  • Functional validation:

    • Site-directed mutagenesis to introduce specific variants

    • Enzymatic activity comparison between variants

    • Complementation studies in mdh knockout strains

    • Assessment of protein-protein interactions that might be affected by variants

This comprehensive approach can determine whether mdh genetic variations are causally linked to virulence differences or merely correlative.

How can recombinant L. interrogans serovar copenhageni mdh be utilized for developing improved diagnostic methods for leptospirosis?

Diagnostic Applications of Recombinant mdh:

  • Serological diagnostics enhancement:

    • Development of ELISA assays using purified recombinant mdh

    • Assessment of anti-mdh antibody prevalence in patient samples

    • Comparison with established antigens like LipL32, which is an important immunogen during human leptospirosis

    • Evaluation of sensitivity and specificity against gold standard MAT

  • Molecular diagnostic approaches:

    • PCR primers targeting the mdh gene for direct detection

    • Development of multiplex PCR panels including mdh and other marker genes

    • Design of isothermal amplification methods (LAMP) for field diagnostics

    • Integration with existing molecular typing methods for enhanced discrimination

  • Point-of-care test development:

    • Lateral flow assays incorporating recombinant mdh

    • Aptamer-based detection systems

    • Electrochemical biosensors measuring mdh activity

    • Microfluidic devices for rapid diagnosis

  • Diagnostic performance optimization:

    • Determination of cross-reactivity with other bacterial species

    • Establishment of sensitivity thresholds in different sample types

    • Validation using clinical samples from diverse geographic regions

    • Comparative analysis with current diagnostic methods

Integrating mdh-based diagnostics with existing approaches could potentially improve early detection of leptospirosis, particularly in resource-limited settings.

What are the prospects for using L. interrogans serovar copenhageni mdh as a target for antimicrobial development?

Therapeutic Target Potential Analysis:

  • Target validation criteria assessment:

    • Essentiality: Determine if mdh is essential for bacterial survival and virulence

    • Conservation: Analyze sequence conservation across Leptospira strains

    • Structural uniqueness: Compare with human mdh to identify exploitable differences

    • Druggability: Assess active site accessibility and binding pocket properties

  • Inhibitor discovery approaches:

    • Structure-based virtual screening against the active site

    • Fragment-based drug discovery

    • High-throughput enzymatic assays to screen compound libraries

    • Rational design based on substrate and cofactor analogs

  • Potential advantages as a drug target:

    • Metabolic enzymes like mdh are often essential for bacterial survival

    • Interference with mdh could disrupt energy production pathways

    • Potential for synergy with existing antibiotics

    • Possible reduction of bacterial persistence in host tissues

  • Therapeutic development challenges:

    • Selectivity against human mdh isoforms

    • Permeability across the Leptospira cell envelope

    • Pharmacokinetic considerations for in vivo efficacy

    • Resistance development potential

Preliminary Target Assessment Table:

CriterionStatusEvidence/Rationale
EssentialityTo be determinedCritical role in central metabolism suggests essentiality
ConservationHigh within pathogenic speciesBased on conservation patterns of other metabolic enzymes
Structural uniquenessModerateBacterial mdh differs from human counterparts in key regions
DrugabilityGoodNAD-binding site offers potential for selective targeting
Resistance riskLow to moderateHousekeeping genes typically have lower mutation rates

How might future research on L. interrogans serovar copenhageni mdh contribute to understanding leptospirosis pathogenesis mechanisms?

Future Research Directions and Impact:

  • Host-pathogen interaction studies:

    • Investigation of mdh's potential moonlighting functions in host cell interaction

    • Analysis of mdh's role in bacterial adaptation to different host environments

    • Examination of potential immunomodulatory effects

    • Integration with known virulence mechanisms such as adhesion to host cells via glycosaminoglycans

  • Systems biology approaches:

    • Metabolic network modeling incorporating mdh activity

    • Transcriptomic and proteomic profiling under different host conditions

    • Protein-protein interaction mapping to identify functional partners

    • Integration of mdh function with other virulence factors like LipL32

  • Evolutionary perspectives:

    • Comparative analysis of mdh across Leptospira species with different virulence

    • Investigation of selective pressures on mdh during host adaptation

    • Analysis of horizontal gene transfer and recombination events

    • Integration with genomic comparative studies that have identified distinctions between serovars

  • Translational applications:

    • Development of attenuated vaccine strains through mdh modification

    • Design of inhibitors targeting metabolic vulnerabilities

    • Improved diagnostic approaches based on mdh detection

    • Novel therapeutic strategies targeting mdh-dependent pathways

Future research connecting mdh function to pathogenesis mechanisms could provide valuable insights into Leptospira biology and lead to improved strategies for prevention, diagnosis, and treatment of leptospirosis, which remains a significant global public health problem responsible for more than 1 million cases and 60,000 deaths annually .

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