Expression Systems
Recombinant NDUFB3 is typically produced in E. coli with fusion tags (e.g., GST) for purification. Key production details include:
| Parameter | Description | Source |
|---|---|---|
| Expression Host | E. coli | |
| Fusion Tag | GST (N-terminal) | |
| Purity | >85% by SDS-PAGE | |
| Activity | Not tested (structural studies only) |
p.Trp22Arg Variant: Linked to short stature, distinctive facial features, and mild biochemical defects in Complex I activity .
MitoROS Regulation: NDUFB3 overexpression elevates mitochondrial ROS (mitoROS), enhancing oxidative stress in thyroid cancer cells and inhibiting tumor progression .
Complex I Assembly: Required for proper integration of subunits into the fully assembled 900 kDa complex .
Structural Studies: Recombinant NDUFB3 aids in mapping Complex I subunit interactions .
Disease Modeling: Used to study mitochondrial dysfunction in vitro and in vivo .
Therapeutic Targeting: Overexpression strategies explored for cancer therapy via mitoROS modulation .
NDUFB3 serves as an accessory subunit of the mitochondrial membrane respiratory chain NADH dehydrogenase (Complex I), which is the first enzyme in the electron transport chain. Unlike core subunits, NDUFB3 is believed not to be directly involved in catalysis but plays critical roles in complex assembly and stability .
Complex I functions in transferring electrons from NADH to the respiratory chain, with ubiquinone serving as the immediate electron acceptor . NDUFB3 is positioned within subcomplex Iβ of the hydrophobic membrane arm of Complex I . When examining the function of NDUFB3, it's important to note that complementation experiments with wild-type NDUFB3 cDNA can restore both complex I activity and assembly in deficient cells, demonstrating its essential role in maintaining proper complex I structure and function .
Experimental approach: To study NDUFB3's role in complex I assembly, researchers commonly use blue-native PAGE (BN-PAGE) separation followed by immunoblotting with antibodies against complex I subunits such as NDUFA9 . Two-dimensional BN/SDS-PAGE separation combined with fluorescent labeling can quantify the impact of NDUFB3 mutations on complex I assembly and supercomplexes formation .
Several complementary techniques can be employed to comprehensively assess NDUFB3 expression:
Database mining: GEPIA and Human Protein Atlas (HPA) databases provide valuable resources for studying expression characteristics of NDUFB3 across tissues and disease states .
Protein detection methods:
Gene expression analysis:
Methodological consideration: When analyzing NDUFB3 expression in disease contexts, it's important to normalize expression levels to appropriate reference genes and include multiple tissue or cell types for comparison. For example, a study of NDUFB3 in gynecological cancers compared expression across ovarian cancer (OV), uterine corpus endometrial carcinoma (UCEC), and cervical squamous cell carcinoma (CESC) to identify tissue-specific patterns .
Mutations in NDUFB3 are associated with mitochondrial complex I deficiency (particularly nuclear type 25) and several distinctive clinical features:
Characteristic facial features including a prominent forehead, smooth philtrum, deep-set eyes, and low-set ears
Metabolic dysfunction, including lactic acidosis in some cases
The p.Trp22Arg variant in NDUFB3 represents a recurrent mutation identified particularly in patients of Irish ancestry and is associated with a relatively good long-term prognosis despite initial metabolic crisis .
Research approach: When studying NDUFB3-related diseases, clinical phenotyping should include careful assessment of growth parameters, dysmorphic features, and metabolic function. Recognition of the distinctive facial features associated with the p.Trp22Arg variant can facilitate targeted genetic testing without requiring muscle biopsy .
NDUFB3 plays a critical role in regulating mitochondrial ROS production through its function in complex I. Research has demonstrated that:
NDUFB3 knockdown significantly reduces mitochondrial ROS (mitoROS) levels in thyroid cancer cell lines (BCPAP and C643) .
In gynecological tumor cells, NDUFB3 depletion increases intracellular ROS production, inducing cell cycle arrest and apoptosis . This seemingly contradictory finding suggests context-dependent effects.
NDUFB3 expression correlates with mitoROS levels, with lower expression predicting poor clinical outcomes in thyroid cancer patients .
Methodological approaches for measuring ROS:
Dihydroethidium fluorescent probe: Used to detect ROS production in NDUFB3-depleted tumor cells .
MitoSOX Red: Specific for mitochondrial superoxide detection.
DCFDA assay: Measures general cellular ROS levels.
Genetic ROS reporters: Such as HyPer or roGFP for real-time monitoring.
Experimental design considerations: When investigating NDUFB3's impact on ROS, researchers should:
Include appropriate positive controls (e.g., antimycin A for complex III-derived ROS)
Validate findings with multiple ROS detection methods
Consider the kinetics of ROS production following NDUFB3 manipulation
Examine the interplay between ROS and other mitochondrial parameters (membrane potential, ATP production)
NDUFB3 demonstrates context-dependent roles in cancer progression with significant implications for targeted therapies:
Gynecological cancers:
NDUFB3 is highly expressed in ovarian cancer (OV), uterine corpus endometrial carcinoma (UCEC), and cervical squamous cell carcinoma (CESC) .
Knocking down NDUFB3 inhibits proliferation of CESC, OV, and UCEC cells .
NDUFB3 expression is associated with multiple immunomodulators in these cancers .
NDUFB3 is predicted to modulate MAPK signaling pathways in gynecological tumors .
Thyroid cancer:
Therapeutic targeting:
Experimental approaches for cancer studies:
Cell proliferation: CCK-8 assay following NDUFB3 depletion or wedelolactone treatment .
Virtual screening and molecular docking: To identify compounds targeting NDUFB3 .
Cell cycle and apoptosis: Flow cytometry to evaluate the cellular response to NDUFB3 modulation .
Pathway analysis: GO and KEGG enrichment analyses using R software clusterProfiler package .
Designing effective genetic perturbation experiments for NDUFB3 requires careful planning and consideration of multiple approaches:
CRISPR-Cas9 genome editing:
Complete knockout to assess essential functions
Knock-in of specific mutations (e.g., p.Trp22Arg) to recapitulate patient phenotypes
Base editing for precise nucleotide changes
RNAi approaches:
siRNA for transient knockdown to assess acute effects
shRNA for stable knockdown to study long-term consequences
Overexpression systems:
Wild-type NDUFB3 for complementation studies
Mutant variants to assess dominant-negative effects
The BioDiscoveryAgent approach described in search result represents an AI-assisted method for designing genetic perturbation experiments that could be applied to NDUFB3 research. This approach:
Leverages prior biological knowledge
Designs experimental batches that prioritize genes likely to exhibit desired phenotypes
Allows for iterative refinement based on experimental results
Experimental design considerations:
Include appropriate controls (wild-type, empty vector)
Validate knockdown/overexpression at both mRNA and protein levels
Assess phenotypes across multiple cellular functions (growth, metabolism, ROS production)
Consider combinatorial perturbations with other complex I subunits
NDUFB3 plays a critical role in complex I assembly and stability, with mutations resulting in characteristic assembly defects:
Assembly process involvement:
Assembly defect characteristics:
Methodological approaches for assessing assembly:
Blue-native PAGE (BN-PAGE):
Western blotting with antibodies against:
NDUFB3 itself
Other complex I subunits (NDUFA9, NDUFB8, NDUFS3)
Subunits of other OXPHOS complexes as controls
Complementation studies:
Quantitative analysis: The complete restoration of complex I following wild-type NDUFB3 expression provides strong evidence of its essential role in complex assembly. Research has shown that transduction with wild-type NDUFB3 can increase mitochondrial supercomplex formation up to 43% of control levels in patient fibroblasts .
Recent research has identified NDUFB3 as a potential biomarker and therapeutic target in sepsis:
Expression patterns:
Functional implications:
Immune system interactions:
Experimental approaches:
WGCNA (Weighted Gene Co-expression Network Analysis) and machine learning algorithms (Random Forest and LASSO) to identify feature biomarkers .
CIBERSORT algorithm to assess immune cell infiltration patterns .
In vitro experiments and confocal microscopy to confirm expression changes .
Research implications: The identification of NDUFB3 as a potential therapeutic target in sepsis opens new avenues for intervention strategies targeting mitochondrial function. Further research is needed to elucidate the precise mechanisms by which NDUFB3 contributes to sepsis pathogenesis and whether modulation of its activity could provide therapeutic benefit.
Identifying and validating small molecule modulators of NDUFB3 requires a multifaceted approach:
Virtual screening and molecular docking:
In vitro validation:
Structure-activity relationship studies:
Modification of lead compounds to improve potency and specificity.
Assessment of binding site interactions through modeling and mutagenesis.
Therapeutic assessment:
Context-dependent evaluation (cancer cells vs. mitochondrial disease models).
Comparison with existing complex I modulators.
Evaluation in patient-derived cell models.
Case study: Wedelolactone
Wedelolactone was identified as a small molecule with strong binding affinity for the active pocket of NDUFB3. Research demonstrated that:
It exerts cytotoxicity against gynecological cancer cells partly through NDUFB3 inhibition .
It induces similar cellular effects to NDUFB3 knockdown, including increased ROS production and cell cycle arrest .
Methodological considerations:
Include appropriate positive and negative controls in all assays.
Validate target engagement using multiple orthogonal approaches.
Assess off-target effects through profiling against other mitochondrial complexes.
Evaluate pharmacokinetic properties for promising compounds.
Producing high-quality recombinant NDUFB3 presents several challenges due to its hydrophobic nature and role as a membrane protein. Based on available research and protein expression expertise:
Expression systems:
E. coli: Successfully used for expressing NDUFB3, particularly with tags that enhance solubility such as GST .
Mammalian cells: More suitable for studies requiring proper folding and post-translational modifications.
Cell-free systems: May be advantageous for membrane proteins that are difficult to express in conventional systems.
Purification strategies:
Affinity chromatography: Using N-terminal GST tag as demonstrated in commercial preparations .
Size exclusion chromatography: For further purification after affinity steps.
Detergent selection: Critical for maintaining native structure of membrane proteins.
Quality control assessments:
SDS-PAGE and western blotting to confirm identity and purity
Mass spectrometry for accurate mass determination
Circular dichroism to assess secondary structure
Functional assays to confirm biological activity
Methodological considerations:
Expression temperature, induction conditions, and buffer composition must be optimized
The addition of protease inhibitors is essential during purification
For structural studies, consider incorporation into nanodiscs or amphipols to maintain native environment
A comprehensive approach to functionally characterizing NDUFB3 mutations includes:
Complementation studies:
Protein stability and expression:
Complex I function measures:
Case study: p.Trp22Arg mutation
The p.Trp22Arg mutation in NDUFB3 has been extensively characterized:
It fails to restore complex I activity when expressed in patient fibroblasts, unlike wild-type NDUFB3 .
It results in reduced amounts of fully assembled complex I and impaired formation of supercomplexes .
Despite its biochemical impact, patients with this mutation often have a better prognosis than expected .
Data interpretation:
When characterizing novel variants, compare complex I activity and assembly data with established pathogenic mutations like p.Trp22Arg. Rescue of complex I activity and assembly by wild-type but not mutant NDUFB3 provides strong evidence for pathogenicity .