NDUFS1 is a protein encoded by the NDUFS1 gene and represents the largest subunit of mitochondrial Complex I (NADH:ubiquinone oxidoreductase), which is located on the inner mitochondrial membrane . As a core component of the electron transport chain, NDUFS1 plays essential roles in cellular energy production. It serves as a critical component of the iron-sulfur (IP) fragment of the enzyme complex and participates in several vital functions:
Catalyzes electron transfer from NADH through the respiratory chain, using ubiquinone as an electron acceptor
Facilitates the entry and efficient transfer of electrons within Complex I
Participates in the association of Complex I with ubiquinol-cytochrome reductase complex (Complex III) to form supercomplexes
NDUFS1 is also known by several alternative names including Complex I-75kD and CI-75kD, referring to its observed molecular weight . The calculated molecular weight of NDUFS1 is approximately 79 kDa, though it is typically observed at 75 kDa in experimental conditions .
NDUFS1 antibodies are available in multiple formats and from various manufacturers, each with specific characteristics suitable for different research applications.
NDUFS1 antibodies are produced in several formats:
Monoclonal antibodies: Including rabbit monoclonal antibodies like EPR11521(B) and mouse monoclonal antibodies such as clone E-8 and 3H5E8
Polyclonal antibodies: Including rabbit polyclonal antibodies that target various epitopes of NDUFS1
NDUFS1 antibodies display cross-reactivity with NDUFS1 proteins from multiple species:
Many NDUFS1 antibodies are available in various conjugated forms to facilitate different detection methods:
NDUFS1 antibodies have been validated for diverse research applications, providing valuable tools for investigating mitochondrial function and related pathologies.
Western blotting represents one of the primary applications for NDUFS1 antibodies. Different antibodies demonstrate varying recommended dilutions:
Western blot analysis has confirmed NDUFS1 expression in various tissues and cell lines including:
Human cell lines: HeLa, Jurkat, HEK-293, A549
Mouse tissues: brain, kidney, liver, heart
Rat tissues: brain, kidney, heart
NDUFS1 antibodies are effective for immunohistochemical analysis of paraffin-embedded tissues:
| Antibody | Recommended Dilution for IHC | Source |
|---|---|---|
| EPR11521(B) | 1:100 | Abcam |
| 68253-1-Ig | 1:500-1:2000 | Proteintech |
| A21192 | 1:100-1:500 | ABClonal |
| 12444-1-AP | 1:250-1:1000 | Proteintech |
IHC applications have documented NDUFS1 expression in tissues including:
NDUFS1 antibodies have been validated for immunofluorescence applications:
| Antibody | Recommended Dilution for IF | Source |
|---|---|---|
| 68253-1-Ig | 1:400-1:1600 | Proteintech |
| 12444-1-AP | 1:200-1:800 | Proteintech |
Cell lines validated for immunofluorescence include HeLa, HepG2, and others .
NDUFS1 antibodies have been validated for several other applications:
Immunoprecipitation: Antibodies such as EPR11521(B) and #60153 are effective for pulling down NDUFS1 from cell lysates
Flow Cytometry: Some antibodies like EPR11521(B) have been validated for flow cytometric analysis of fixed and permeabilized cells
ELISA: Several antibodies have been validated for ELISA applications
NDUFS1 antibodies have contributed to significant research findings, particularly in cancer research and mitochondrial function studies.
Research using NDUFS1 antibodies has revealed important correlations in kidney renal clear cell carcinoma (KIRC):
Low expression of NDUFS1 mRNA and protein in KIRC correlates with unfavorable patient survival and poor infiltration of CD4+ T cells
NDUFS1 expression decreases progressively with increasing tumor grade, with lowest expression occurring in Grade 4 and Stage 4 KIRC
NDUFS1 expression shows a moderately positive correlation with infiltration of neutrophil cells (r = 0.555) and CD4+ T cells (r = 0.571)
In KIRC patients with low NDUFS1 expression, poor infiltration of CD4+ T cells (HR = 0.575, p = 0.0187) is associated with shorter survival time
These findings suggest that the combination of NDUFS1 expression with CD4+ T cell infiltration assessment could improve prognostic predictions in KIRC patients .
NDUFS1 antibodies have been instrumental in understanding the protein's role in programmed cell death:
NDUFS1 serves as a critical substrate for caspases in mitochondria during apoptosis
The NDUFS1 Antibody #60153 can detect the carboxyl terminal 47 kDa fragment produced by caspase cleavage during apoptosis
This cleavage is necessary for mitochondrial changes associated with programmed cell death
NDUFS1 antibodies detect proteins with these specifications:
NDUFS1 antibodies are produced using various methods:
NDUFS1 is a 75 kDa subunit of the NADH:ubiquinone oxidoreductase complex (complex I), serving as a critical component of the mitochondrial electron transport chain. It plays a pivotal role in cellular energy production through oxidative phosphorylation by transferring electrons from NADH to the respiratory chain. NDUFS1 is the largest subunit of complex I and functions as the first iron-sulfur protein to accept electrons from NADH-flavoprotein reductase within the complex .
The importance of NDUFS1 extends beyond energy metabolism to several key cellular processes:
Research on NDUFS1 provides valuable insights into mitochondrial function and diseases associated with mitochondrial dysfunction, making it a crucial target for mitochondrial research .
NDUFS1 antibodies are versatile tools in mitochondrial research with several validated applications:
Researchers should validate each antibody in their specific experimental system as reactivity and optimal conditions may vary between antibodies from different manufacturers and different sample types .
Most commercially available NDUFS1 antibodies demonstrate cross-reactivity with human, mouse, and rat samples, making them suitable for comparative studies across these species . Some antibodies have also been reported to work with Drosophila samples , although this should be validated for specific applications.
The cross-species reactivity is due to the high conservation of NDUFS1 across mammalian species. When selecting an antibody for your research, consider the following:
Verify the specific species reactivity claims by the manufacturer
Check validation data from published literature using the same antibody
Consider performing a pilot experiment if working with less common species
For complex I studies across species, consider species-specific differences in complex I structure and assembly
Species-specific positive controls that have been validated for NDUFS1 antibodies include mouse kidney tissue, mouse liver tissue, rat kidney tissue, and human cell lines such as HEK-293, A549, and HeLa cells .
Proper validation of NDUFS1 antibodies is crucial for reliable research results. A comprehensive validation approach includes:
Western blot validation:
Use positive controls known to express NDUFS1 (e.g., mitochondria-rich tissues like heart, liver, kidney)
Include negative controls such as NDUFS1 knockdown samples or tissues with naturally low expression
Test antibody specificity by examining single band detection
Immunoprecipitation validation:
Immunohistochemistry and immunofluorescence validation:
Knockout/knockdown validation:
When reporting validation results, include detailed methodology, antibody catalog numbers, and specific conditions used, as antibody performance can vary between lots and experimental conditions.
When studying mitochondrial complex I using NDUFS1 antibodies, consider these methodological approaches:
For complex I assembly analysis:
Blue Native PAGE (BN-PAGE) followed by western blotting with anti-NDUFS1 antibody
Sample preparation: Solubilize mitochondrial membranes with dodecyl-β-D-maltoside (DDM) at 0.75% final concentration
Purification: Use anion exchange chromatography followed by size exclusion chromatography
For complex I activity assessment:
For respirasome assembly studies:
For electron transfer analysis:
These protocols should be optimized based on your specific research question and experimental system. Always include appropriate controls and standardization methods.
Robust experimental design with appropriate controls is essential for accurate interpretation of results with NDUFS1 antibodies:
Positive controls:
Negative controls:
NDUFS1 knockdown or knockout samples
Secondary antibody-only controls to assess background staining
Isotype controls for immunoprecipitation experiments
Pre-immune serum controls for polyclonal antibodies
Loading controls:
Specificity controls:
Experimental condition controls:
Include wild-type and mutant conditions in parallel
For disease models, include both affected and unaffected tissues
For time-course experiments, include multiple timepoints to capture dynamic changes
Documenting and reporting these controls is essential for result validation and reproducibility.
NDUFS1 antibodies have become instrumental in investigating the link between complex I dysfunction and various pathologies:
Cancer research applications:
Use NDUFS1 antibodies to assess expression levels in tumor versus normal tissues
Studies have shown opposite prognostic effects of NDUFS1 in different cancers - low expression correlates with poor prognosis in lung cancer while altered expression has been observed in kidney cancer
Combine with CD4+ T cell infiltration markers for improved prognostic prediction in renal cell carcinoma
Examine NDUFS1 expression in hepatocellular carcinoma to understand mitochondrial dynamics in cancer progression
Cardiac pathology studies:
Neurodegenerative disease research:
Renal injury models:
The methodological approach should include comparison between affected and unaffected tissues, correlation with clinical outcomes, and integration with other markers of mitochondrial function.
NDUFS1 antibodies are valuable tools for investigating complex I assembly, stability, and dynamics:
Assembly pathway analysis:
Stability assessment:
NDUFS1 mutations can affect the stability of the entire N-module of complex I
Compare NDUFS1 levels in complex I between healthy and diseased tissues to assess complex integrity
Studies show that even when full Complex I is assembled in some pathological conditions, it may not be as stable as in healthy tissue
Respirasome formation:
NDUFS1 is involved in super-complex formation
Analyze higher molecular weight complexes containing NDUFS1 to study respirasome assembly
In disease models like hepatocellular carcinoma with ND6 mutations, despite similar NDUFS1 levels, other complex I subunits show lower presence, suggesting compromised stability
Active vs. deactive conformational states:
Methodologically, these studies often combine BN-PAGE, western blotting, immunoprecipitation, and activity assays to provide a comprehensive view of complex I structure and function.
NDUFS1 antibodies can help uncover the metabolic adaptations that occur in various disease states:
Cancer metabolism studies:
Use NDUFS1 antibodies to track complex I alterations that accompany metabolic shifts in cancer cells
Research has shown that complex I dysfunction can drive metabolic reprogramming toward aerobic glycolysis (Warburg effect)
Compare NDUFS1 expression between tumor and normal tissues to understand metabolic adaptation
Metabolomic correlation:
Combine NDUFS1 expression analysis with metabolomic profiling
Studies of NDUFS1 mutations have shown that despite different proteomic patterns, the metabolic consequences may be similar, such as inhibitory feedback on the TCA cycle and altered glutathione levels
Use NDUFS1 antibodies alongside metabolite measurements to establish cause-effect relationships
Oxidative stress responses:
Adaptive responses to complex I inhibition:
Methodologically, these investigations often involve:
Parallel analysis of multiple complex I subunits
Integration with functional assays (respiration, ATP production)
Correlation with metabolic pathway markers
Consideration of cell type-specific metabolic profiles
Researchers may encounter several technical issues when working with NDUFS1 antibodies:
Multiple bands in western blots:
Weak or absent signal:
High background:
Cause: Non-specific binding, excessive antibody concentration, or inadequate blocking
Solution: Increase blocking time, optimize antibody dilution, include additional washing steps, and use freshly prepared buffers
Inconsistent results between experiments:
Cause: Lot-to-lot variation, sample preparation differences, or protocol inconsistencies
Solution: Use the same antibody lot for related experiments, maintain consistent protocols, and include internal controls for normalization
Discrepancies between different applications:
Cause: Epitope accessibility varies between native and denatured conditions
Solution: Consider using different antibodies optimized for specific applications, or validate each application independently
Storage and handling issues:
Documentation of these challenges and solutions in your research protocols will help improve reproducibility and troubleshooting efficiency.
Interpreting contradictory findings regarding NDUFS1 expression requires careful consideration of multiple factors:
Context-specific regulation:
NDUFS1 expression can vary dramatically between disease types and stages
In kidney cancer, NDUFS1 has been reported to be increased in one study while decreased in five others
In lung cancer, low NDUFS1 expression correlates with poor prognosis
Consider the specific disease context, tissue type, and stage when interpreting results
Methodology differences:
Discrepancies may arise from different detection methods (IHC vs. WB vs. RNA-seq)
Antibodies targeting different epitopes may yield different results
RNA and protein levels may not correlate due to post-transcriptional regulation
Standardize methodologies or use multiple complementary approaches
Sample heterogeneity:
Cell type composition varies between samples and may affect NDUFS1 detection
Mitochondrial content differs between tissues and pathological states
Use cell type-specific markers or single-cell approaches when possible
Functional versus expression data:
Compensatory mechanisms:
To address these conflicts, researchers should:
Report comprehensive methodology details
Include multiple controls and validation approaches
Consider both expression and functional data
Acknowledge contradictory findings in the literature
Propose testable hypotheses to resolve discrepancies
When correlating NDUFS1 expression with clinical or phenotypic data, consider these analytical strategies:
Quantitative analysis of expression:
Use standardized scoring systems for IHC (H-score, Allred score)
For western blots, normalize to appropriate loading controls
For mRNA expression, use validated reference genes
Consider both absolute expression and relative changes between conditions
Statistical approaches:
For survival analysis: Use Kaplan-Meier plots with log-rank tests and hazard ratios (HR)
For correlation studies: Apply Pearson or Spearman correlation coefficients
For comparing groups: Implement appropriate statistical tests (t-tests, ANOVA)
Consider multivariate analysis to account for confounding factors
Combinatorial biomarker strategies:
Combine NDUFS1 with other markers for improved prognostic value
Research has shown that combining NDUFS1 with CD4+ T cell infiltration provides better prediction in kidney cancer
In lung cancer, combining NDUFS1 and NDUFS8 as a panel identified patient groups with up to 14-fold difference in prognosis
Functional correlation:
Mechanistic validation:
Use knockdown/overexpression approaches to establish causality
Perform rescue experiments to confirm specificity
Include time-course analyses to capture dynamic changes
Data visualization:
Use heatmaps to display correlations between multiple parameters
Forest plots for meta-analysis of prognostic value across studies
Scatter plots with regression lines for continuous variable correlations
These approaches should be tailored to your specific research question, sample size, and data characteristics, with careful consideration of potential confounding factors and biological variability.
NDUFS1 antibodies are being applied in several cutting-edge research areas that are expanding our understanding of mitochondrial biology:
Super-resolution microscopy applications:
Using fluorescently labeled NDUFS1 antibodies to visualize complex I distribution and dynamics at nanometer resolution
Combining with other mitochondrial markers to study respirasome organization in different cellular states
Tracking complex I reorganization during mitophagy or mitochondrial fission/fusion events
Single-cell analysis:
Applying NDUFS1 antibodies in mass cytometry or imaging mass cytometry
Examining cell-to-cell variability in complex I expression in heterogeneous tissues
Correlating NDUFS1 levels with metabolic states at the single-cell level
Mitochondrial stress responses:
Developmental biology:
Therapeutic targeting:
Monitoring changes in NDUFS1 expression in response to treatments targeting mitochondrial function
Developing strategies to modulate NDUFS1 activity for therapeutic purposes
Studies in renal ischemia-reperfusion injury suggest that targeting complex I subunits may protect against mitochondrial dysfunction
These emerging applications will benefit from continued improvement in antibody specificity, sensitivity, and adaptation to new technological platforms.
NDUFS1 antibodies are valuable tools for investigating the complex interactions between mitochondria and other cellular structures:
Mitochondria-nucleus communication:
Mitochondria-ER contact sites:
Use NDUFS1 antibodies alongside ER markers to study functional contacts
Investigate how complex I activity influences calcium signaling at these junctions
Explore how metabolic stress affects the organization of these contact sites
Mitochondria and apoptosis pathways:
Mitochondrial dynamics and quality control:
Combine NDUFS1 antibodies with markers of mitophagy to study selective removal of damaged complex I
Investigate how complex I deficiency triggers mitochondrial network remodeling
Examine the relationship between NDUFS1 expression and mitochondrial biogenesis
Metabolic signaling hubs:
These studies often require multiplexed approaches combining NDUFS1 antibodies with other cellular markers and functional assays to provide integrated views of mitochondrial interactions within the cellular ecosystem.
Several technological and methodological improvements would enhance the utility of NDUFS1 antibodies in research:
Improved specificity and validation:
Development of monoclonal antibodies with epitope mapping to specific domains of NDUFS1
Standardized validation protocols across different applications
Creation of knockout cell lines as definitive negative controls
Implementation of more rigorous reporting standards for antibody validation
Advanced imaging applications:
Development of live-cell compatible NDUFS1 probes to track dynamics in real-time
Optimization for super-resolution microscopy techniques
Creation of split fluorescent protein tags for studying NDUFS1 interactions in living cells
Adaptation for correlative light and electron microscopy to connect function with ultrastructure
Multiplexing capabilities:
Generation of antibodies compatible with multiplexed imaging technologies
Development of antibody panels for simultaneous detection of multiple complex I subunits
Adaptation for mass cytometry and other high-dimensional single-cell techniques
Creation of proximity labeling approaches to study NDUFS1 interaction networks
Functional antibodies:
Development of conformation-specific antibodies that distinguish between active and inactive complex I
Creation of antibodies that recognize post-translational modifications of NDUFS1
Generation of activity-modulating antibodies for functional studies
Production of intrabodies that can track NDUFS1 in living cells
Quantitative applications:
Standardization of quantification methods across laboratories
Development of calibrated reference standards for absolute quantification
Implementation of digital pathology approaches for automated, objective analysis
Creation of internal standard controls for cross-study comparisons
These methodological advances would address current limitations in sensitivity, specificity, and functional analysis, enabling more sophisticated investigations of NDUFS1 biology in health and disease.
| Application | Recommended Dilution | Sample Preparation | Detection Method | Common Pitfalls | Optimization Strategies |
|---|---|---|---|---|---|
| Western Blotting | 1:1000-1:10000 | Reducing conditions, 40 μg protein | HRP-conjugated secondary antibody | Multiple bands, weak signal | Optimize antibody concentration, include protease inhibitors |
| Immunoprecipitation | 1:50 or 0.5-4 μg per 1-3 mg protein | Fresh lysates, gentle lysis buffers | Western blot of eluates | High background, low efficiency | Pre-clear lysates, optimize antibody amount |
| Immunohistochemistry | 1:250-1:1000 | Paraffin sections, antigen retrieval | DAB visualization system | Background staining, weak signal | Optimize antigen retrieval (TE buffer pH 9.0) |
| Immunofluorescence | 1:200-1:800 | Paraformaldehyde fixation | Fluorescent secondary antibodies | Autofluorescence, non-specific binding | Include autofluorescence controls, optimize fixation |
| Flow Cytometry | Variable | Permeabilized cells | Fluorescent secondary antibodies | Poor separation, high background | Optimize permeabilization, titrate antibody |
| ELISA | Variable | Purified protein or cell lysates | HRP-based detection system | Matrix effects, hook effect | Include standard curves, optimize coating |
Information compiled from multiple sources and represents general guidelines. Specific conditions should be optimized for each experimental system.