Note: While we prioritize shipping the format currently in stock, please specify your format preference in order notes; we will accommodate your request to the best of our ability.
Note: Our proteins are shipped with standard blue ice packs. Dry ice shipping is available upon request, subject to additional charges. Please contact us in advance to arrange this.
The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
KEGG: bhe:BH08930
STRING: 283166.BH08930
Bartonella henselae NADH-quinone oxidoreductase subunit C (nuoC) is a protein component of the bacterial respiratory chain complex I. This enzyme (EC 1.6.99.5) plays a critical role in the electron transport chain of B. henselae, contributing to energy metabolism through NADH oxidation and electron transfer to quinones. As part of the NADH dehydrogenase I complex, nuoC is essential for bacterial survival and may represent a potential target for antimicrobial development . The protein is structurally related to similar subunits found in other bacterial species, including the closely related Bartonella bacilliformis .
Studying B. henselae nuoC provides important insights into bacterial metabolism and potential virulence mechanisms. As B. henselae is the causative agent of cat scratch disease and serious conditions like endocarditis and bacillary angiomatosis, understanding its core metabolic machinery is crucial for developing targeted therapies . The NADH-quinone oxidoreductase complex represents a fundamental component of bacterial energy production, making it relevant to research on bacterial survival under varying host conditions. Recent research indicates that B. henselae undergoes host-specific adaptations during its life cycle, suggesting that metabolic enzymes like nuoC may play roles in this adaptive process .
Recombinant B. henselae nuoC is typically produced using expression systems in laboratory hosts such as E. coli, yeast, baculovirus, or mammalian cells . The production process generally follows these methodological steps:
Gene isolation from B. henselae genomic DNA using PCR amplification
Cloning of the nuoC gene into an appropriate expression vector
Transformation of the construct into the chosen expression system
Induction of protein expression under controlled conditions
Protein purification using affinity chromatography (often His-tag based)
Quality control assessment including purity verification (>90% purity standard) and functional testing
The resulting purified protein is typically stored in a liquid buffer containing glycerol at -20°C or -80°C for long-term storage, with working aliquots maintained at 4°C for up to one week .
Optimizing expression of recombinant B. henselae nuoC requires systematic adjustment of several parameters:
| Parameter | Optimization Approaches | Considerations |
|---|---|---|
| Expression System | Test E. coli, yeast, baculovirus, and mammalian systems | Different hosts may yield varying protein conformations and post-translational modifications |
| Induction Conditions | Vary inducer concentration, temperature, and duration | Lower temperatures (16-25°C) often improve protein folding |
| Codon Optimization | Adapt codons to expression host | May significantly improve yield in heterologous systems |
| Fusion Tags | Test His, GST, MBP, or SUMO tags | Consider impact on structure and downstream applications |
| Solubility Enhancers | Co-express with chaperones or use solubility tags | Particularly important for membrane-associated proteins |
For researchers working with B. henselae proteins, establishing protein functionality post-purification is essential, as purification methods may impact the native conformation and activity of respiratory chain components . Expression system selection should consider that membrane proteins like nuoC may require specialized approaches compared to soluble proteins.
A comprehensive validation approach for recombinant B. henselae nuoC should include:
Structural Integrity Assessment:
SDS-PAGE and Western blotting to confirm molecular weight and immunoreactivity
Circular dichroism spectroscopy to evaluate secondary structure elements
Limited proteolysis to assess proper protein folding
Size exclusion chromatography to evaluate oligomeric state
Functional Validation:
NADH oxidation assay measuring reaction kinetics (Km and Vmax values)
Electron transfer capacity using artificial electron acceptors
Reconstitution experiments with other complex I subunits to assess proper assembly
Membrane incorporation studies to evaluate integration into lipid bilayers
Comparative Analysis:
When interpreting results, researchers should consider that nuoC functions as part of a multi-subunit complex, and isolated subunit activity may differ from the activity observed in the intact complex.
When designing enzyme activity assays for recombinant B. henselae nuoC, the following controls are essential:
Negative Controls:
Heat-inactivated enzyme preparation to establish baseline activity
Buffer-only samples to account for spontaneous substrate oxidation
Preparations from expression systems transformed with empty vectors
Positive Controls:
Specificity Controls:
Substrate specificity testing with NADH analogs
Inhibitor panels including rotenone and piericidin A
pH and temperature gradient tests to establish optimal conditions
System Validation Controls:
Reconstitution with membrane fractions to assess integration
Electron acceptor variation to confirm proper electron transport chain function
Researchers should establish standard curves for each assay and ensure measurements fall within the linear range of detection to accurately quantify enzymatic activity.
Recombinant B. henselae nuoC offers several methodological approaches for investigating host-pathogen interactions:
Immunological Studies:
Development of specific antibodies for immunolocalization studies
Screening of patient sera to evaluate host immune responses during infection
T-cell epitope mapping to understand cellular immunity
Metabolic Adaptation Research:
Interaction Studies:
Identification of potential host cell proteins that interact with bacterial respiratory complexes
Investigation of how host metabolic states affect bacterial energy production
Evaluation of nuoC role in bacterial survival within professional phagocytes
This research is particularly relevant given that B. henselae demonstrates genetic adaptation during its life cycle with alternating host conditions, which may involve modifications to core metabolic machinery including respiratory chain components .
Researchers face several methodological challenges when conducting structural studies of B. henselae nuoC:
Membrane Protein Crystallization Barriers:
Inherent difficulty in crystallizing membrane-associated proteins
Challenges in maintaining native conformation during purification
Need for appropriate detergents and lipid environments
Complex Formation Considerations:
nuoC functions as part of a multi-subunit complex, complicating structural analysis
Potential for artificial conformations when studied in isolation
Challenges in reconstituting functional complexes for structural studies
Technical Limitations:
Limited availability of high-resolution structures of homologous proteins
Challenges in producing sufficient quantities of properly folded protein
Difficulty in obtaining homogeneous protein preparations
Recent advances in cryo-electron microscopy and long-read sequencing techniques offer promising approaches to overcome some of these limitations. For instance, long-read sequencing has already revealed genetic adaptations in B. henselae that might extend to respiratory complex components .
Comparative genomics approaches provide powerful tools for elucidating nuoC function:
Cross-Species Comparison Protocol:
Evolutionary Analysis Methods:
Phylogenetic tree construction of nuoC across alpha-proteobacteria
Identification of horizontal gene transfer events
Examination of co-evolution patterns with other respiratory complex components
Host Adaptation Analysis:
This comparative approach has already yielded insights into B. henselae adaptation mechanisms, as demonstrated by recent long-read sequencing studies revealing genomic differences between human, feline, and laboratory-adapted B. henselae isolates .
Several molecular detection methods can be effectively employed to study nuoC expression:
PCR-Based Methods:
Sequencing Approaches:
Protein Detection Methods:
When interpreting results, researchers should consider that different detection methods may yield varying results based on sensitivity and specificity. For instance, studies of Bartonella species have shown that PCR targeting specific genes can provide more definitive species-level identification than 16S rRNA sequencing alone .
When encountering discrepancies between recombinant and native nuoC results, researchers should systematically evaluate:
Structural Differences:
Presence of fusion tags in recombinant proteins
Post-translational modifications present in native but absent in recombinant protein
Conformational variations due to isolation from natural complex
Functional Context:
Native nuoC functions within a multi-subunit complex in bacterial membranes
Recombinant proteins may lack proper interaction partners
Different lipid environments between recombinant and native systems
Experimental Variables:
Different buffer conditions between assays
Variations in protein concentration and purity
Potential contamination with host proteins in recombinant preparations
Methodological Approach to Resolve Discrepancies:
Reconstitution experiments with whole complex components
Site-directed mutagenesis to identify critical residues
Comparison across multiple expression systems
Researchers should document all experimental conditions comprehensively to facilitate accurate interpretation of discrepancies and consider that the true biological function might be best understood through complementary approaches using both recombinant and native protein systems.
For comprehensive structure-function analysis of B. henselae nuoC, researchers should employ these bioinformatic approaches:
Sequence Analysis Workflow:
Multiple sequence alignment with homologous proteins
Identification of conserved domains and motifs
Analysis of potentially critical residues for electron transport
Structural Prediction Methods:
Homology modeling based on related proteins with known structures
Ab initio modeling for regions lacking homologous templates
Molecular dynamics simulations to evaluate conformational flexibility
Protein-protein docking with other respiratory complex components
Functional Prediction Approaches:
Ligand binding site prediction
Electrostatic surface analysis
Prediction of protein-protein interaction interfaces
Conservation analysis across bacterial species
Integration with Experimental Data:
Mapping of biochemical data onto structural models
Correlation of genetic variants with functional outcomes
Prediction of the impact of site-directed mutations
These approaches should be implemented with appropriate validation strategies, including experimental verification of key predictions whenever possible.
The study of B. henselae nuoC offers several promising avenues for antimicrobial development:
Target-Based Drug Design:
Identification of nuoC-specific inhibitors that don't affect human mitochondrial complexes
Structure-based virtual screening against predicted binding pockets
Fragment-based drug discovery targeting critical functional domains
Metabolic Vulnerability Exploitation:
Development of compounds that disrupt bacterial energy production
Identification of synergistic drug combinations targeting different aspects of bacterial metabolism
Design of prodrugs activated by bacterial respiratory chain components
Innovative Therapeutic Approaches:
Creation of immunogenic conjugates for vaccine development
Design of nanoparticle-delivered inhibitors with specificity for bacterial respiratory complexes
CRISPR-based antimicrobials targeting nuoC genes
Recent funding initiatives, such as the $4.8 million grant for developing treatments for Bartonella-related diseases, demonstrate the clinical importance of this research direction . The emerging understanding of B. henselae's metabolic adaptations during host infection suggests that targeting respiratory chain components could be particularly effective against this pathogen .
Research on host adaptation provides critical insights into nuoC function:
Metabolic Flexibility Analysis:
Investigation of how nuoC activity changes during transition between hosts
Examination of expression level variations between feline and human isolates
Analysis of potential post-translational modifications in different host environments
Evolutionary Considerations:
Assessment of selection pressure on nuoC during host specialization
Identification of host-specific mutations that alter enzyme efficiency
Comparison of regulatory mechanisms across different host-adapted strains
Functional Consequences:
Evaluation of how host adaptation affects electron transport chain efficiency
Investigation of potential alternate electron acceptors in different host niches
Examination of metabolic network adaptations involving respiratory complexes
Recent long-read sequencing studies have revealed that human, feline, and laboratory-adapted B. henselae isolates display genomic and phenotypic differences . These findings suggest that core metabolic machinery, including respiratory chain components like nuoC, may undergo adaptive changes to optimize bacterial survival in different host environments.
Systems biology offers powerful frameworks for contextualizing nuoC function:
Metabolic Network Modeling:
Integration of nuoC into genome-scale metabolic models of B. henselae
Flux balance analysis to predict metabolic changes when nuoC function is altered
Identification of synthetic lethal interactions with other metabolic genes
Multi-omics Integration Strategies:
Correlation of nuoC expression with global transcriptomic changes
Proteomic analysis of respiratory complex assembly and regulation
Metabolomic profiling to identify shifts in energy metabolism
Host-Pathogen Interaction Modeling:
Simulation of metabolic interactions between host and pathogen
Prediction of critical nodes in host-pathogen metabolic networks
Identification of emergent properties in complex host-pathogen systems
This systems-level understanding is particularly relevant given the complex lifecycle of B. henselae, which involves adaptation to different host environments and potentially different metabolic states within each host . The approach may reveal unexpected connections between respiratory chain function and virulence mechanisms.
Comprehensive investigation of post-translational modifications (PTMs) in B. henselae nuoC requires:
Analytical Workflow:
Enrichment strategies for different PTM types (phosphorylation, acetylation, etc.)
High-resolution mass spectrometry with multiple fragmentation techniques
Targeted analysis of modification sites based on predictive algorithms
Comparison of PTM patterns across different growth conditions
Validation Methods:
Generation of modification-specific antibodies
Site-directed mutagenesis of predicted modification sites
In vitro modification assays with purified enzymes
Functional assessment of modified versus unmodified protein
Physiological Relevance Assessment:
Correlation of modifications with bacterial growth phase
Analysis of modification changes during host cell infection
Comparison of modification patterns between different Bartonella species
Researchers should consider that recombinant expression systems may not reproduce native bacterial PTM patterns, necessitating comparative studies between recombinant and native proteins.
Successful reconstitution of NADH dehydrogenase complexes incorporating B. henselae nuoC requires:
Component Preparation Strategy:
Expression and purification of all essential subunits with compatible tags
Careful selection of detergents and lipids for membrane protein stabilization
Stepwise assembly protocol based on known complex architecture
Quality control at each assembly stage
Reconstitution Protocol:
Controlled removal of detergents using dialysis or adsorption methods
Incorporation into liposomes or nanodiscs for membrane environment mimicry
Optimization of protein-to-lipid ratios for optimal complex formation
Verification of proper assembly using analytical ultracentrifugation or negative-stain electron microscopy
Functional Verification Methods:
NADH oxidation activity measurements with various electron acceptors
Proton pumping assays using pH-sensitive fluorescent dyes
Electron paramagnetic resonance spectroscopy to monitor iron-sulfur clusters
Inhibitor sensitivity profiling compared to native complexes
This approach enables detailed structure-function studies that cannot be performed with isolated subunits and provides a platform for investigating the impact of mutations or modifications on complex assembly and function.
Effective antibody development for B. henselae nuoC research requires:
Epitope Selection Strategy:
Bioinformatic analysis to identify surface-exposed, unique regions
Consideration of sequence conservation across Bartonella species
Avoidance of regions involved in complex formation
Selection of multiple epitopes for polyclonal development
Production Considerations:
Choice between monoclonal and polyclonal approaches based on application
Selection of appropriate host species for immunization
Purification methods that preserve antibody functionality
Validation against both recombinant and native protein sources
Validation Requirements:
Specificity testing against related proteins from Bartonella and other bacteria
Cross-reactivity assessment with host tissues when applicable
Functionality verification in multiple applications (Western blot, immunoprecipitation, immunofluorescence)
Lot-to-lot consistency evaluation for reproducible results
Application-Specific Optimization:
Determination of optimal working dilutions for each application
Buffer compatibility assessment
Storage conditions for maximum stability
Conjugation protocols for specialized applications
Properly validated antibodies against B. henselae nuoC can serve as valuable tools for studying protein expression, localization, and interactions in both in vitro and ex vivo systems.