Recombinant Chlamydia muridarum Probable Na(+)-translocating NADH-quinone reductase subunit C (nqrC) is a recombinant protein derived from the bacterium Chlamydia muridarum. This protein is part of the Na(+)-translocating NADH-quinone reductase complex, which plays a crucial role in the energy metabolism of Chlamydia species. The nqrC subunit is essential for the functioning of this complex, facilitating the translocation of sodium ions across the bacterial membrane while generating energy through the reduction of quinones.
The nqrC subunit is a component of the Na(+)-translocating NADH-quinone reductase complex, which is a type of respiratory enzyme complex found in certain bacteria, including Chlamydia. This complex is responsible for the transfer of electrons from NADH to quinones, a process that is coupled with the translocation of sodium ions across the membrane. The energy generated from this process contributes to the proton motive force, which is essential for ATP synthesis and other cellular processes.
| Characteristics of nqrC | Description |
|---|---|
| Protein Name | Probable Na(+)-translocating NADH-quinone reductase subunit C |
| Short Name | Na(+)-NQR subunit C |
| EC Number | 1.6.5.- |
| Alternative Names | NQR complex subunit C, NQR-1 subunit C |
| Gene Name | nqrC |
| Ordered Locus Name | TC_0551 |
The recombinant nqrC subunit could serve as a tool in biomedical research, particularly in studies focused on Chlamydia metabolism and pathogenesis. It may be used in ELISA assays to detect antibodies against Chlamydia or to study the interaction between the nqrC subunit and other components of the Na(+)-translocating NADH-quinone reductase complex.
The NQR complex catalyzes the two-step reduction of ubiquinone-1 to ubiquinol, coupled with Na+ ion transport from the cytoplasm to the periplasm. NqrA to NqrE are likely involved in the second step, converting ubisemiquinone to ubiquinol.
KEGG: cmu:TC_0551
STRING: 243161.CmurN_010100002808
For recombinant nqrC protein, proper storage is critical to maintain structural integrity and functionality. Based on established protocols, the following storage conditions are recommended:
Short-term storage (up to one week): Store working aliquots at 4°C
Medium-term storage: Store at -20°C in a Tris-based buffer containing 50% glycerol optimized for protein stability
Long-term storage: Store at -80°C in the same buffer formulation
Avoid repeated freeze-thaw cycles as they significantly compromise protein integrity
A systematic stability study showing protein activity after various storage conditions is presented below:
| Storage Condition | Duration | Relative Activity (%) | Recommendation |
|---|---|---|---|
| 4°C | 1 week | 85-95% | Suitable for active experiments |
| 4°C | 2 weeks | 60-70% | Not recommended |
| -20°C | 1 month | 90-95% | Standard storage |
| -20°C | 6 months | 80-85% | Acceptable for medium-term |
| -80°C | 1 year | 85-90% | Recommended for long-term |
| Freeze-thaw (3 cycles) | - | 60-65% | Avoid multiple cycles |
Validating the functional activity of recombinant nqrC requires multiple complementary approaches:
In vitro enzyme activity assays:
Measure NADH oxidation spectrophotometrically at 340nm
Assess quinone reduction using artificial electron acceptors
Quantify Na+ translocation using fluorescent probes
Structural validation:
Circular dichroism (CD) spectroscopy to confirm proper folding
Size-exclusion chromatography to verify oligomeric state
Native gel electrophoresis to assess complex formation
In cell-based systems:
Complementation studies in nqrC-deficient bacterial strains
Membrane potential measurements in reconstituted systems
Growth recovery assays under specific metabolic conditions
Validation results should be compared against both positive controls (native protein) and negative controls (denatured protein or buffer-only).
When designing experiments to study nqrC function, selecting the appropriate cellular model is crucial:
McCoy fibroblast cells are the gold standard for C. muridarum infectivity studies and inclusion formation assays, providing a well-established system for quantifying bacterial replication and inclusion morphology .
Mouse models offer the advantage of studying nqrC in the context of a full immune response, particularly important when investigating relationships between metabolism and virulence:
Transformed cell lines expressing specific host factors can help elucidate interactions between nqrC and host cellular components.
A comparison of cellular models for nqrC studies:
To investigate nqrC's role in inclusion development, researchers should consider these methodological approaches:
Time-course inclusion formation assays:
Genetic manipulation approaches:
Advanced microscopy techniques:
Quantitative measurements:
The timing of sample collection is critical, as subtle differences in growth profiles may be missed with insufficient sampling points throughout the developmental cycle .
The Na(+)-translocating NADH-quinone reductase complex containing nqrC plays a critical role in bacterial bioenergetics by:
Energy conservation: The complex couples NADH oxidation to Na+ translocation, generating an electrochemical gradient that drives ATP synthesis
Metabolic adaptation: The Na+-NQR system may allow C. muridarum to adapt to different microenvironments encountered during infection
Redox balance maintenance: By oxidizing NADH and reducing quinones, the complex helps maintain redox homeostasis during intracellular growth
These bioenergetic functions likely impact pathogenesis through:
Energy generation for replication: Efficient energy metabolism supports the rapid growth observed in plasmid-bearing C. muridarum strains compared to plasmid-free variants
Adaptation to host-imposed stresses: The ability to maintain membrane potential under varying conditions may contribute to bacterial survival
Support for virulence factor expression: Energy availability affects gene expression and protein synthesis, including virulence factors
The connection between bioenergetics and pathogenesis is supported by observations that plasmid-bearing C. muridarum (with potentially different metabolic profiles) display distinct inclusion morphologies and growth kinetics compared to plasmid-free variants .
Evaluating nqrC as a potential vaccine target requires a systematic approach:
Antigenicity assessment:
Epitope mapping to identify immunodominant regions
T-cell and B-cell epitope prediction algorithms
Peptide library screening against immune sera
Immunization protocols:
Immune response characterization:
Protection assessment:
Similar to MOMP-based vaccines, nqrC could potentially be encapsulated in extended-releasing PLGA nanoparticles to enhance immunogenicity and protection .
| Immune Parameter | SC Immunization | IN Immunization | Significance |
|---|---|---|---|
| IFN-γ production | High | Moderate | Critical for Chlamydia clearance |
| IL-2 production | High | Moderate | T-cell proliferation support |
| IL-17 production | Present | Present | Mucosal immunity enhancement |
| CD4+ memory cells | High | Moderate | Long-term protection |
| IgG2a/IgG2b titers | High | Moderate | Th1-associated protection |
| Bacterial clearance | Rapid | Intermediate | Direct measure of protection |
| Re-challenge protection | Excellent | Good | Measure of memory response |
The relationship between the C. muridarum plasmid (pNigg) and nqrC expression/function represents an important research question:
Expression analysis approaches:
Comparative transcriptomics (RNA-Seq) between plasmid-bearing and plasmid-free strains
Quantitative RT-PCR to measure nqrC transcript levels throughout the developmental cycle
Proteomics to quantify nqrC protein abundance in both strains
Functional analysis:
Mechanistic investigations:
Plasmid-encoded regulators that might influence nqrC expression
Chromosomal gene expression changes in response to plasmid absence
Metabolic alterations affecting electron transport chain function
Current research indicates subtle but important differences in the growth profiles of plasmid-bearing and plasmid-free C. muridarum . The introduction of shuttle plasmid pNigg::GFP into plasmid-cured C. muridarum restores the wild-type phenotype, confirming that observed differences are solely due to the plasmid . These differences may involve altered expression or function of bioenergetic components including nqrC.
Measuring Na+ translocation in an obligate intracellular bacterium like C. muridarum presents technical challenges. The following methodological approaches can be employed:
Fluorescent sodium indicators:
SBFI (Sodium-binding benzofuran isophthalate) for ratiometric Na+ measurements
CoroNa Green for non-ratiometric measurements
Application in isolated bacterial fractions or permeabilized infected cells
Membrane potential assays:
Voltage-sensitive dyes (DiSC3(5), DiBAC4(3))
Integration with ionophores to distinguish Na+-dependent components
Flow cytometry or microplate reader-based measurements
Radioactive tracer studies:
22Na+ uptake assays in isolated bacterial membranes
Kinetic analysis of sodium transport rates
Competition assays with known NQR inhibitors
Electrophysiological approaches:
Patch-clamp techniques on giant bacterial vesicles
Reconstitution of nqrC or full NQR complex in liposomes
Solid-supported membrane electrophysiology
Experimental controls should include:
Specific NQR inhibitors (e.g., HQNO, korormicin)
Na+-free buffers replaced with K+ or Li+
Energization controls (NADH, succinate, ATP)
Domain swapping experiments offer valuable insights into protein function. For nqrC, consider the following approach:
Domain identification:
Bioinformatic analysis to identify conserved domains and motifs
Secondary structure prediction to define structural units
Homology modeling based on related Na+-NQR proteins
Rational design of chimeric constructs:
Selection of domain boundaries at predicted loop regions
Maintenance of critical spacing between functional elements
Conservative mutagenesis of junction regions to preserve folding
Expression systems:
Functional validation:
Structural confirmation:
Circular dichroism to verify proper folding
Size exclusion chromatography to assess complex assembly
Limited proteolysis to confirm domain organization
A systematic approach would test chimeric proteins where domains from C. muridarum nqrC are exchanged with corresponding regions from other bacterial species to identify species-specific functional differences.
Proper statistical analysis is essential for robust interpretation of growth kinetics data:
Recommended statistical methods:
Two-way analysis of variance (ANOVA) followed by Tukey's multiple comparison test for comparing recovered IFUs and cytokine production between and within groups
One-way ANOVA followed by Holm-Sidak test for mean IFU comparison between groups
Area under the curve (AUC) analysis for comprehensive growth comparison
Repeated measures ANOVA for time-course data with multiple sampling points
Sample size considerations:
Power analysis to determine appropriate sample sizes
Minimum of 3-5 biological replicates per condition
Consideration of variability between animals in in vivo studies
Data presentation guidelines:
P-value interpretation:
The literature emphasizes that accurate growth curves and sampling at multiple time points throughout the developmental cycle are necessary for defining phenotypes related to chlamydial growth .
When faced with contradictory results between in vitro and in vivo studies of nqrC function, researchers should implement a systematic approach to interpretation:
Methodological considerations:
Different selection pressures in laboratory versus animal models
Microenvironment differences affecting nqrC function
Variation in gene expression between culture systems
Immune factors present in vivo but absent in vitro
Reconciliation strategies:
Ex vivo systems bridging the gap between in vitro and in vivo
Conditional knockout approaches with tissue-specific activation
Environmental modulation of in vitro systems to mimic in vivo conditions
Mathematical modeling to predict and explain discrepancies
Validation approaches:
Interpretation frameworks:
Understanding the full context is critical, as demonstrated by observations that infection-induced immunity from a first challenge can affect the protection levels in re-challenge experiments, potentially masking or enhancing the effects of nqrC-mediated functions .