NDUFB11 antibody is an immunological reagent designed to bind specifically to the NDUFB11 protein (17.3 kDa), an accessory subunit of mitochondrial Complex I (NADH:ubiquinone oxidoreductase). This protein is encoded by the NDUFB11 gene located on chromosome Xp11.23 and is essential for maintaining structural integrity rather than direct catalytic activity in the electron transport chain .
NDUFB11 antibodies are employed in:
Western blotting: Detects the 17–20 kDa band in mitochondrial lysates (e.g., HeLa, HepG2, A431 cells) .
Immunohistochemistry: Localizes NDUFB11 in formalin-fixed tissues (e.g., human kidney) .
Flow cytometry: Identifies intracellular protein expression in fixed cells .
Disease studies: Used to investigate NDUFB11 downregulation in atherosclerosis and venous thrombosis, where reduced expression correlates with poor prognosis .
Key validation data include:
Band specificity: Single bands at expected molecular weights in WB across cell lines .
Knockout validation: Reduced signal in CRISPR/Cas9-edited cell models (not explicitly shown in sources but implied by antibody providers’ quality assurances).
Cross-reactivity: Proteintech’s antibody reacts with human, mouse, and rat samples, while Abcam’s is human-specific .
NDUFB11 antibodies have revealed critical findings:
NDUFB11 is an accessory subunit of the mitochondrial membrane respiratory chain NADH dehydrogenase (Complex I) that functions in the transfer of electrons from NADH to the respiratory chain. While not directly involved in catalysis, it is essential for complex I assembly and activity . Also known as neuronal protein 17.3, Complex I-ESSS, or p17.3, NDUFB11 is located in the inner mitochondrial membrane . The immediate electron acceptor for the enzyme is believed to be ubiquinone .
Research has demonstrated that NDUFB11 is crucial for:
Complex I assembly and structural integrity
Cellular energy production via oxidative phosphorylation
Cell growth and survival
Knockdown experiments using shRNA have confirmed that NDUFB11 is essential for these functions, underscoring its importance in mitochondrial research .
NDUFB11 antibodies have been validated for multiple research applications, as summarized in the table below:
When selecting an antibody, researchers should verify the specific applications validated by the manufacturer and optimize conditions for their particular experimental system .
NDUFB11 has a calculated molecular weight of approximately 17-18 kDa, with observed molecular weights typically between 18-20 kDa on SDS-PAGE . The variations in observed molecular weight may be attributed to post-translational modifications or differences in gel systems used.
When interpreting Western blot results:
Expected band size: 17-20 kDa
Number of amino acids: 163 aa
The protein may run slightly higher than the calculated molecular weight due to post-translational modifications
For optimal detection of NDUFB11 across different applications, consider the following sample preparation methods:
For Western Blot:
Use a lysis buffer containing 0.02% sodium azide and 50% glycerol at pH 7.3 for tissue homogenization
Include protease inhibitors to prevent degradation
For mitochondrial enrichment, consider differential centrifugation techniques
For Immunohistochemistry:
Suggested antigen retrieval: TE buffer at pH 9.0 or citrate buffer at pH 6.0
Paraformaldehyde fixation is recommended for tissue sections
Optimal section thickness: 4-6 μm for paraffin-embedded tissues
For Immunofluorescence:
Paraformaldehyde fixation (typically 4%) for 15-20 minutes
Permeabilization with 0.1-0.5% Triton X-100
Blocking with 1-5% BSA or normal serum
For Complex I Activity Studies:
Blue Native Gel Electrophoresis (BNGE) is recommended when studying NDUFB11 in the context of Complex I assembly
In-gel activity assays can assess functional consequences of NDUFB11 deficiency
NDUFB11 antibodies serve as valuable tools for investigating Complex I assembly defects, particularly in mitochondrial disorders. Research has demonstrated that:
Assembly analysis: NDUFB11 antibodies can be used in Blue Native Gel Electrophoresis (BNGE) to assess Complex I assembly status. In patients with NDUFB11 mutations, Western blotting of BNGE shows reduced amounts of holocomplex I .
Functional assessment: In-gel activity assays combined with NDUFB11 immunodetection can reveal correlations between protein levels and Complex I activity. Studies have shown that NDUFB11 deficiency results in marked reduction or undetectable activity of Complex I .
Rescue experiments: Lentiviral transduction of wild-type NDUFB11 into patient fibroblasts with NDUFB11 mutations has been used to confirm pathogenicity. Successful rescue is evidenced by:
Structural impact beyond NDUFB11: Importantly, NDUFB11 deficiency affects other Complex I subunits, including NDUFS1 and NDUFA9, located in different regions of the complex. This indicates NDUFB11's role in maintaining the integrity of the entire complex structure, not just the membrane arm .
When designing such studies, researchers should consider complementary approaches such as oxygen consumption measurements and supercomplex analysis to comprehensively characterize the functional consequences of NDUFB11 defects.
When validating NDUFB11 knockdown or knockout models, researchers should implement a comprehensive validation strategy:
Protein level validation: Use Western blot with reliable NDUFB11 antibodies to confirm reduction in protein levels. Published studies show drastic reduction in NDUFB11 steady-state levels in patient fibroblasts with NDUFB11 mutations .
Complex I structural integrity: Assess the impact on other Complex I subunits, including:
NDUFS1 (located in the hydrophilic arm)
NDUFA9 (located at the junction between hydrophobic and hydrophilic arms)
This is crucial as NDUFB11 deficiency affects the assembly of the entire Complex I structure .
Functional validation: Implement multiple approaches:
Blue Native Gel Electrophoresis (BNGE) with in-gel activity assays
Oxygen consumption measurements
ATP production assays
Mitochondrial membrane potential assessment
Rescue experiments: Transduction with wild-type NDUFB11 should restore:
Cell growth and viability: NDUFB11 is essential for cell growth and survival, so knockdown/knockout models should exhibit compromised viability that can be rescued by wild-type NDUFB11 expression .
It's important to note that complete knockout of NDUFB11 may not be viable in certain cell types, as shRNA-mediated NDUFB11 knockdown has demonstrated essential roles in cell growth and survival .
NDUFB11 antibodies have been instrumental in elucidating the molecular basis of Microphthalmia with Linear Skin defects (MLS) syndrome, an X-linked male-lethal disorder:
Genotype-phenotype correlations: Antibody-based studies have confirmed that heterozygous mutations in NDUFB11 lead to complete inactivation of Complex I in patients with MLS syndrome, revealing an unexpected role of Complex I dysfunction in this developmental phenotype .
Tissue-specific effects: Immunohistochemistry using NDUFB11 antibodies has helped researchers investigate the tissue-specific manifestations of NDUFB11 deficiency, particularly in affected tissues like skin and eyes .
Molecular pathogenesis: Studies combining genetic analysis with NDUFB11 antibody-based protein detection have demonstrated that:
Diagnostic applications: NDUFB11 antibodies can be used for:
Assessing NDUFB11 protein levels in patient samples
Evaluating the impact of NDUFB11 mutations on protein stability and Complex I assembly
Confirming pathogenicity of novel NDUFB11 variants
These studies highlight the importance of NDUFB11 in mitochondrial function and development, establishing NDUFB11 mutations as a cause of MLS syndrome and expanding our understanding of mitochondrial diseases associated with neurocutaneous manifestations .
Recent research has revealed important connections between NDUFB11 expression and cardiovascular pathologies:
Atherosclerosis and venous thrombosis: Bioinformatic analyses and experimental validation have demonstrated that NDUFB11 is downregulated in atherosclerosis and venous thrombosis, suggesting a potential role in these conditions .
Prognostic implications: Lower expression levels of NDUFB11 are associated with poorer prognosis in patients with atherosclerosis and venous thrombosis, indicating its potential value as a biomarker .
Co-expression patterns: NDUFB11 shows co-expression patterns with another Complex I component, NDUFS3, in the context of cardiovascular disease. Both genes are:
Research applications: NDUFB11 antibodies can be used to:
Quantify NDUFB11 expression in vascular tissues
Compare expression levels between normal and pathological samples
Correlate NDUFB11 levels with disease severity or progression
These findings suggest that NDUFB11 may serve as a potential biomarker for atherosclerosis and venous thrombosis, opening new avenues for research into the role of mitochondrial dysfunction in cardiovascular disease pathogenesis .
When encountering inconsistent NDUFB11 antibody signals, researchers should systematically troubleshoot using the following approaches:
Antibody selection considerations:
Monoclonal vs. polyclonal: Monoclonal antibodies (like ab183716 and CF807792) offer higher specificity but may be sensitive to epitope masking, while polyclonal antibodies (like 16720-1-AP and DF12300) recognize multiple epitopes but may show higher background
Validated applications: Ensure the antibody is validated for your specific application (WB, IHC, IF, etc.)
Species reactivity: Verify compatibility with your sample species (human, mouse, rat)
Sample preparation optimization:
Detection system troubleshooting:
Positive and negative controls:
Positive tissue/cell controls: HepG2 cells, mouse/rat skeletal muscle tissue, and human kidney tissue have been validated for various NDUFB11 antibodies
Genetic controls: Consider using NDUFB11 knockdown samples as negative controls
Rescue controls: Cells transduced with wild-type NDUFB11 can serve as specificity controls
Subcellular localization verification:
NDUFB11 is a mitochondrial protein, so signals should localize to mitochondria
Co-staining with mitochondrial markers can verify proper localization
Mitochondrial enrichment may improve detection in challenging samples
By systematically addressing these factors, researchers can optimize NDUFB11 detection and ensure consistent, reliable results across different experimental conditions.
NDUFB11 antibodies have applications in studying various mitochondrial disorders beyond MLS syndrome:
Complex I deficiency disorders:
NDUFB11 antibodies can assess Complex I assembly status in patients with suspected Complex I deficiency
Quantitative analysis of NDUFB11 levels can help classify the severity of Complex I defects
Correlation of NDUFB11 levels with clinical phenotypes may identify new genotype-phenotype relationships
Neurodegenerative diseases:
Mitochondrial dysfunction is implicated in various neurodegenerative conditions
NDUFB11 antibodies can assess Complex I integrity in brain tissue from patients with Parkinson's disease, Alzheimer's disease, or amyotrophic lateral sclerosis
Changes in NDUFB11 levels or localization may provide insights into disease mechanisms
Metabolic disorders:
Aging research:
Mitochondrial function declines with age
NDUFB11 antibodies can assess age-related changes in Complex I composition and integrity
Correlation of NDUFB11 levels with markers of cellular senescence may provide insights into aging mechanisms
When designing such studies, researchers should consider using multiple antibodies targeting different Complex I subunits to comprehensively assess Complex I status and combine antibody-based detection with functional assays to establish causal relationships.
For accurate quantification of NDUFB11 expression in patient samples, researchers should follow these best practices:
Sample collection and processing:
Standardize collection procedures to minimize variability
Process samples immediately or flash-freeze to preserve protein integrity
For tissue biopsies, consider using mitochondrial enrichment protocols to enhance detection sensitivity
Quantitative Western blot approach:
Use recombinant NDUFB11 standards for absolute quantification
Include multiple loading controls:
Mitochondrial markers (e.g., VDAC, COX4) to normalize for mitochondrial content
Housekeeping proteins (e.g., β-actin, GAPDH) for total protein normalization
Implement technical replicates (minimum of three) and biological replicates
Use digital imaging systems with linear dynamic range for quantification
Immunohistochemical quantification:
Flow cytometry for blood cells or cultured fibroblasts:
Reference ranges and controls:
Data normalization and statistical analysis:
Normalize NDUFB11 levels to mitochondrial content markers
Apply appropriate statistical tests based on data distribution
Consider correlation with clinical parameters for diagnostic/prognostic value assessment
This systematic approach ensures reliable quantification of NDUFB11 expression in patient samples, facilitating accurate diagnosis and research into mitochondrial disorders.
Co-immunoprecipitation (Co-IP) using NDUFB11 antibodies offers a powerful approach to discover novel protein interactions and gain insights into Complex I assembly and regulation:
Experimental design considerations:
Antibody selection: Choose NDUFB11 antibodies validated for IP applications (e.g., 16720-1-AP has been validated for IP in mouse skeletal muscle tissue)
Sample preparation: Use mild lysis conditions to preserve protein-protein interactions
Recommended protocol: 0.5-4.0 μg antibody per 1.0-3.0 mg of total protein lysate
Controls: Include IgG control IPs and input samples for comparison
Potential interaction partners to investigate:
Other Complex I subunits: Particularly those in physical proximity within the complex
Assembly factors: Proteins involved in Complex I biogenesis and quality control
Regulatory proteins: Kinases, phosphatases, or other modifiers that may regulate NDUFB11 function
Novel interactors: Proteins not previously associated with Complex I function
Analytical approaches:
Standard approach: Western blot analysis with antibodies against suspected interacting proteins
Discovery approach: Mass spectrometry analysis of co-immunoprecipitated proteins
Validation: Reciprocal Co-IPs using antibodies against identified interaction partners
Structural context: Interpret findings in the context of Complex I structural data
Methodological considerations:
Cross-linking: Consider mild cross-linking to stabilize transient interactions
Detergent selection: Use digitonin or other mild detergents to preserve membrane protein interactions
Mitochondrial isolation: For some applications, using purified mitochondria rather than whole cell lysates may improve specificity
Buffer optimization: Adjust salt and pH conditions to optimize interaction detection
Biological significance assessment:
Functional validation: Investigate the functional consequences of disrupting identified interactions
Disease relevance: Determine if interactions are altered in disease states
Evolutionary conservation: Assess whether interactions are conserved across species
This approach can reveal novel insights into NDUFB11's role in Complex I assembly, regulation, and dysfunction in disease states, potentially identifying new therapeutic targets for mitochondrial disorders.
When utilizing NDUFB11 as a biomarker for cardiovascular diseases such as atherosclerosis and venous thrombosis, researchers should consider:
Expression pattern characteristics:
Methodological standardization:
Sample collection: Standardize procedures for collecting vascular tissue, blood, or other relevant samples
Processing protocols: Develop consistent protocols for sample processing and storage
Detection methods: Validate antibody-based detection methods specifically for cardiovascular tissues
Quantification approach: Establish reliable quantification methods with appropriate controls
Clinical correlation parameters:
Disease severity: Correlate NDUFB11 levels with established markers of disease severity
Disease progression: Consider longitudinal studies to assess NDUFB11 changes over time
Treatment response: Evaluate NDUFB11 expression changes in response to therapeutic interventions
Risk stratification: Determine if NDUFB11 levels can predict disease complications or outcomes
Mechanistic investigations:
Functional consequences: Assess how altered NDUFB11 expression affects mitochondrial function in vascular cells
Causal relationships: Determine whether NDUFB11 downregulation is a cause or consequence of disease
Therapeutic targeting: Explore whether restoring NDUFB11 expression has beneficial effects
Pathway interactions: Investigate relationships between NDUFB11, oxidative stress, and inflammation in vascular pathology
Multi-marker approach:
By addressing these considerations, researchers can effectively harness the potential of NDUFB11 as a biomarker for cardiovascular diseases, potentially improving risk stratification, diagnosis, and personalized treatment approaches.
Below are optimized protocols for detecting NDUFB11 across various experimental applications:
Western Blot Protocol for NDUFB11:
Sample preparation:
SDS-PAGE:
Transfer and detection:
Transfer to PVDF membrane (recommended over nitrocellulose for small proteins)
Block with 5% non-fat milk or BSA in TBST
Incubate with primary antibody at 1:1000-1:4000 dilution overnight at 4°C
Wash 3-5 times with TBST
Incubate with appropriate HRP-conjugated secondary antibody
Develop using ECL or other chemiluminescent detection systems
Immunohistochemistry Protocol:
Sample preparation:
Fix tissues in 4% paraformaldehyde
Process and embed in paraffin
Section at 4-6 μm thickness
Antigen retrieval and staining:
Deparaffinize and rehydrate sections
Perform antigen retrieval with TE buffer pH 9.0 (primary recommendation) or citrate buffer pH 6.0 (alternative)
Block endogenous peroxidase with 3% H₂O₂
Block non-specific binding with 5-10% normal serum
Apply appropriate detection system (HRP/DAB recommended)
Counterstain with hematoxylin
Dehydrate, clear, and mount
Immunofluorescence Protocol:
Cell preparation:
Culture cells on coverslips or chamber slides
Fix with 4% paraformaldehyde for 15 minutes at room temperature
Permeabilize with 0.1-0.5% Triton X-100
Staining procedure:
Flow Cytometry Protocol:
Cell preparation:
Harvest cells and fix with paraformaldehyde
Permeabilize thoroughly (critical for this mitochondrial protein)
Staining procedure:
These protocols should be optimized for specific experimental conditions and antibodies used.
A comprehensive approach to validating novel NDUFB11 mutations in patient samples should include:
Genetic analysis:
Sequencing: Confirm the mutation by Sanger sequencing or next-generation sequencing
Segregation analysis: Test family members to confirm inheritance patterns (X-linked in the case of NDUFB11)
Population frequency: Check databases like gnomAD to confirm the variant is rare or absent in control populations
In silico prediction: Use tools like SIFT, PolyPhen, or MutationTaster to predict pathogenicity
Protein expression analysis:
Western blot: Assess NDUFB11 protein levels in patient samples (typically fibroblasts) using validated antibodies
Expected findings: Patients with pathogenic mutations typically show markedly reduced NDUFB11 protein levels
Comparison: Include age-matched controls and known pathogenic mutations if available
Complex I assembly and function:
Blue Native Gel Electrophoresis (BNGE): Assess Complex I assembly status
In-gel activity assay: Determine Complex I enzymatic activity
Spectrophotometric assays: Measure Complex I activity in isolated mitochondria
Oxygen consumption: Measure cellular respiration using Seahorse or oxygen electrode
Functional complementation:
Phenotypic correlation:
Clinical assessment: Compare patient phenotype with known NDUFB11-related conditions
Tissue-specific effects: Investigate tissue samples relevant to clinical manifestations
Biomarkers: Assess lactate levels and other markers of mitochondrial dysfunction
The experimental evidence from a previously validated case illustrates this approach:
A patient with p.93delF mutation in NDUFB11 showed markedly reduced NDUFB11 protein levels
Complex I assembly and activity were compromised
Lentiviral transduction with wild-type NDUFB11 restored protein levels and Complex I function
The biochemical phenotype correlated with clinical manifestations of complex I deficiency
This systematic approach provides robust validation of novel NDUFB11 mutations and establishes their pathogenicity.
When studying NDUFB11 in experimental models, several critical controls should be included to ensure reliable and interpretable results:
Antibody validation controls:
Positive tissue controls: Include samples known to express NDUFB11 (e.g., HepG2 cells, mouse/rat skeletal muscle tissue, human kidney tissue)
Knockdown/knockout controls: Use NDUFB11 siRNA/shRNA treated samples or CRISPR-Cas9 generated knockout cells when available
Overexpression controls: Cells transfected with NDUFB11 expression constructs
Peptide competition: Pre-incubate antibody with immunogen peptide to confirm specificity
Multiple antibodies: Use antibodies targeting different epitopes to confirm findings
Expression manipulation controls:
Empty vector controls: For overexpression studies, include cells transfected with empty vector
Scrambled siRNA/shRNA: For knockdown studies, include non-targeting control sequences
Rescue controls: For mutation studies, include cells transduced with wild-type NDUFB11
Dose-response: When applicable, use varying levels of expression manipulation
Functional assessment controls:
Other Complex I subunits: Assess other components (e.g., NDUFS1, NDUFA9) to understand complex-wide effects
Other respiratory complexes: Measure Complexes II-V to determine specificity of effects
Chemical inhibitors: Use rotenone as a positive control for Complex I inhibition
Known Complex I deficient samples: Include cells from patients with established Complex I defects
Technical controls:
Loading controls: Use appropriate housekeeping proteins or mitochondrial markers
Sample preparation controls: Process all samples simultaneously under identical conditions
Biological replicates: Use multiple independent biological samples
Technical replicates: Perform multiple technical replicates of each experiment
Physiological relevance controls:
Cell type specificity: Compare findings across multiple relevant cell types
Species conservation: Validate key findings in models from different species
Environmental conditions: Assess effects under normal and stressed conditions (e.g., hypoxia, nutrient deprivation)