QCR10 Antibody targets the QCR10 protein, a subunit of the cytochrome bc<sub>1</sub> complex (Complex III) in the mitochondrial electron transport chain (ETC). This antibody is primarily used in research to study the assembly, stability, and functional roles of Complex III in eukaryotic organisms, including yeast (Saccharomyces cerevisiae) and humans .
| Species | Gene | Protein Size | Localization | Function |
|---|---|---|---|---|
| S. cerevisiae | QCR10 | 8.5 kDa | Mitochondrial ETC | Stabilizes ISP in Complex III |
| Homo sapiens | UQCRB | 6.4 kDa | Mitochondrial ETC | Binds ubiquinone; maintains Complex III |
QCR10 is essential for the structural integrity of Complex III:
Yeast Studies:
Human Studies:
QCR10 stabilizes bc<sub>1</sub>-CcO (cytochrome c oxidase) supercomplexes in S. cerevisiae. Its absence causes rapid degradation of ISP .
Key Experiment:
Toxoplasma gondii lacks a QCR10 homolog but compensates with lineage-specific subunits (e.g., TgQCR11/12) to stabilize Complex III .
ELISA Kits: Commercial kits (e.g., Abbkine Human UQCR ELISA Kit) use QCR10 antibodies for quantitative detection in serum, plasma, and cell cultures .
Yeast QCR10 Antibodies:
Human UQCR Antibodies:
Mitochondrial Disease Studies: QCR10 dysfunction is linked to ETC deficiencies and metabolic disorders .
Drug Development: Targeting QCR10-ubiquinone interactions could modulate ETC activity in cancer or neurodegenerative diseases .
Evolutionary Biology: Comparative studies in apicomplexans highlight adaptive changes in Complex III subunits .
KEGG: sce:YHR001W-A
STRING: 4932.YHR001W-A
QCR10 is a nuclear gene encoding an 8.5-kDa protein that functions as a subunit of the cytochrome bc1 complex (Complex III) in Saccharomyces cerevisiae. The protein consists of 77 amino acids with a predicted molecular mass of 8492 Da and contains a distinctive 63-base pair intron that separates the codons for the amino-terminal methionine and alanine from the remainder of the open reading frame .
QCR10 plays a critical role in maintaining the functionality of the respiratory chain, as its deletion reduces ubiquinol-cytochrome c oxidoreductase activity by approximately 40% in mitochondrial membranes. More significantly, QCR10 is required for stable association of the Rieske iron-sulfur protein with the complex, making it an important target for studying mitochondrial respiratory chain assembly and function .
Research applications using QCR10 antibodies include investigating mitochondrial biogenesis, analyzing respiratory chain defects, and studying the evolutionary conservation of cytochrome bc1 complex assembly across species.
Based on available information, QCR10 antibodies used in research primarily include rabbit polyclonal antibodies . Polyclonal antibodies offer several advantages for detecting proteins like QCR10:
They recognize multiple epitopes, increasing detection sensitivity for low-abundance proteins
They can be more robust against minor changes in protein conformation
They often work across multiple applications (Western blotting, immunoprecipitation, etc.)
When selecting a QCR10 antibody, researchers should consider:
Host species (rabbit being the documented option)
Validated applications specific to your research needs
Cross-reactivity with homologous proteins in other species (particularly important given the 28% identity between yeast QCR10 and bovine heart cytochrome bc1 complex subunit 11)
Epitope location and accessibility in various experimental conditions
To maintain QCR10 antibody activity and specificity, researchers should follow these storage and handling guidelines:
For long-term storage integrity:
Store antibodies in their original buffer conditions unless otherwise specified
Add glycerol (final concentration 30-50%) if preparing aliquots for extended storage
Include preservatives such as sodium azide (0.02-0.05%) if not already present
Label aliquots with date, concentration, and dilution information
Monitor for signs of degradation such as precipitation or loss of activity
Implementing proper controls is critical for generating reliable results with QCR10 antibodies:
Positive controls:
Wild-type yeast samples known to express QCR10
Purified recombinant QCR10 protein (if available)
Cells or tissues with confirmed QCR10 expression
Negative controls:
QCR10 knockout/deletion yeast strains
Secondary antibody-only controls (omitting primary antibody)
Peptide competition/blocking experiments to demonstrate specificity
Pre-immune serum (for polyclonal antibodies)
Loading and normalization controls:
For Western blotting, include housekeeping proteins (GAPDH, β-actin)
For mitochondrial studies, use established mitochondrial markers (VDAC, COX IV)
Total protein staining methods (Ponceau S, SYPRO Ruby)
Technical replicates:
Run at least three biological replicates for quantitative experiments
Include technical replicates to assess procedural variability
Proper documentation of all controls is essential for result interpretation and troubleshooting.
Validating antibody specificity is crucial before undertaking substantial research projects. For QCR10 antibodies, a comprehensive validation strategy includes:
Western blot analysis:
Compare band patterns between wild-type and QCR10 knockout samples
Verify the presence of a single band at the expected molecular weight (~8.5 kDa)
Test different sample types (whole cell lysates vs. isolated mitochondria)
Peptide competition:
Pre-incubate antibody with excess immunizing peptide or recombinant QCR10
Run parallel Western blots or immunostaining with blocked and unblocked antibody
Specific signals should disappear or significantly diminish in blocked samples
Mass spectrometry validation:
Immunoprecipitate using QCR10 antibody
Subject isolated proteins to mass spectrometry analysis
Confirm QCR10 presence and identify potential cross-reactive proteins
Cross-species reactivity assessment:
Systematic documentation of validation experiments establishes confidence in antibody specificity and experimental reproducibility.
QCR10 antibodies provide powerful tools for investigating the assembly pathways of the cytochrome bc1 complex (Complex III) of the respiratory chain. Based on findings that QCR10 is required for stable association of the Rieske iron-sulfur protein with the complex , these antibodies can be used in several sophisticated approaches:
Blue Native PAGE coupled with immunoblotting:
Separate intact respiratory complexes under native conditions
Probe with QCR10 antibodies to identify complex assemblies containing this subunit
Compare complex distribution between wild-type and mutant strains
Detect assembly intermediates that accumulate in assembly factor mutants
Sucrose gradient fractionation:
Separate mitochondrial protein complexes by density
Analyze fractions by Western blotting with QCR10 antibodies
Map QCR10's association with various assembly intermediates
Compare profile with other complex subunits to determine assembly sequence
Immunoprecipitation-based interactome studies:
Use QCR10 antibodies to pull down the protein and its interacting partners
Analyze co-precipitating proteins by mass spectrometry
Identify novel assembly factors or temporal assembly associations
Compare interactomes between different genetic backgrounds or conditions
Pulse-chase studies:
Monitor incorporation of newly synthesized QCR10 into the complex over time
Use antibodies to track assembly progression
Determine rate-limiting steps in complex formation
These approaches can provide critical insights into the temporal sequence of complex assembly, identify assembly factors, and reveal how mutations affect respiratory chain formation.
The search results indicate that QCR10 plays a crucial role in stabilizing the association of the Rieske iron-sulfur protein with the cytochrome bc1 complex . To investigate this relationship, researchers can employ several methodological approaches:
Co-immunoprecipitation studies:
Use QCR10 antibodies to pull down protein complexes
Probe for Rieske protein in immunoprecipitates by Western blotting
Compare wild-type samples with those carrying mutations in QCR10
Quantify relative amounts of co-precipitated Rieske protein
Proximity labeling techniques:
Use enzymatic proximity labeling methods (BioID, APEX) with QCR10 as the bait
Identify proteins in close proximity to QCR10 in vivo
Confirm direct or indirect associations with the Rieske protein
Map interaction domains through truncation mutants
Structural analysis:
Utilize QCR10 antibodies to verify the presence of QCR10 in purified complexes for structural studies
Perform cryo-EM or X-ray crystallography on complexes with and without QCR10
Determine the structural changes that occur in the absence of QCR10
Map the interaction interface between QCR10 and the Rieske protein
Functional impact assessment:
Measure enzymatic activities in the presence and absence of QCR10
Correlate Rieske protein levels with complex activity
Investigate whether stabilization is dependent on specific QCR10 domains
Determine if other proteins can compensate for QCR10 loss
These methodologies can help elucidate the molecular mechanism by which QCR10 contributes to complex stability and function.
The moderate sequence conservation between yeast QCR10 and mammalian homologs (28% identity with bovine subunit 11) creates both challenges and opportunities for cross-species studies. When using QCR10 antibodies across species, researchers should consider:
Cross-reactivity assessment:
Epitope conservation analysis:
Conduct bioinformatic analysis of epitope conservation across species
Select antibodies raised against conserved regions for cross-species applications
Consider using multiple antibodies targeting different epitopes
Verify that secondary structure similarities (noted between yeast and bovine proteins) translate to epitope recognition
Optimization for each species:
Adjust antibody concentrations for each species
Modify extraction and sample preparation protocols
Optimize blocking conditions to minimize background
Consider species-specific modifications to standard protocols
Data interpretation:
Account for differences in protein abundance between species
Consider evolutionary differences in complex composition and assembly
Interpret results in the context of known functional differences
Use orthogonal approaches to confirm key findings
A systematic approach to cross-species antibody validation enhances the reliability of comparative studies and can reveal evolutionary insights into respiratory chain assembly and function.
Investigating protein-protein interactions within large complexes like cytochrome bc1 requires sophisticated methodological approaches. For studying QCR10's interactions:
In vivo crosslinking coupled with immunoprecipitation:
Treat intact cells/mitochondria with membrane-permeable crosslinkers
Immunoprecipitate with QCR10 antibodies
Analyze crosslinked products by Western blotting or mass spectrometry
Map direct binding partners through crosslinker distance constraints
Yeast two-hybrid or split-reporter assays:
Screen for direct interactions between QCR10 and other complex components
Validate interactions in mammalian cells using bimolecular fluorescence complementation
Map interaction domains through deletion constructs
Assess the impact of disease-associated mutations on interaction strength
Quantitative binding studies:
Express and purify recombinant QCR10 and potential binding partners
Perform surface plasmon resonance or isothermal titration calorimetry
Determine binding affinities and thermodynamic parameters
Compare wild-type interactions with mutant proteins
Computational modeling:
Use existing structural data on cytochrome bc1 complex
Perform molecular docking to predict interaction interfaces
Design mutations to test predicted interactions
Validate computational predictions experimentally using QCR10 antibodies
Genetic interaction studies:
These approaches can reveal the molecular details of how QCR10 contributes to complex stability, particularly its role in stabilizing the association of the Rieske iron-sulfur protein.
QCR10 antibodies can provide valuable insights into respiratory chain dysfunction in various disease models, particularly those related to mitochondrial disorders:
Complex assembly analysis in patient samples:
Compare cytochrome bc1 complex assembly in control vs. patient samples
Use QCR10 antibodies in conjunction with antibodies against other complex components
Identify specific assembly defects through subunit profiling
Correlate assembly abnormalities with enzymatic deficiencies
Genetic rescue experiments:
Introduce wild-type or mutant QCR10 into deficient cells
Assess complex recovery using QCR10 antibodies
Measure functional restoration through activity assays
Determine structure-function relationships for disease-associated variants
Pharmacological intervention studies:
Test compounds that might stabilize respiratory complexes
Use QCR10 antibodies to monitor treatment effects on complex assembly
Screen for drugs that may compensate for specific assembly defects
Develop personalized therapeutic approaches based on specific defect patterns
Tissue-specific expression analysis:
Compare QCR10 expression across different tissues in disease models
Correlate with tissue-specific manifestations of respiratory chain defects
Identify compensatory mechanisms in less affected tissues
Target interventions to tissues with greatest molecular defects
While the search results primarily focus on yeast QCR10, the methodological approaches are applicable to studying homologous proteins in mammalian systems and disease models.
Detecting small proteins like QCR10 (8.5 kDa) by Western blotting requires specific technical considerations:
Sample preparation:
Use extraction buffers containing 1-2% SDS and protease inhibitors
For mitochondrial enrichment, isolate mitochondria prior to lysis
Heat samples at 95°C for 5 minutes in reducing sample buffer
Gel electrophoresis optimization:
Use high percentage (15-20%) SDS-PAGE gels
Consider Tricine-SDS-PAGE systems for better resolution of small proteins
Run gels at lower voltage (80-100V) to improve separation
Transfer parameters:
Use PVDF membranes with 0.2 μm pore size (instead of 0.45 μm)
Perform transfer at lower voltage (30V) for longer time (overnight)
Add 10-20% methanol to transfer buffer to improve small protein binding
Antibody incubation:
Block with 5% non-fat dry milk or BSA in TBST
Use optimized antibody dilution (typically 1:500 to 1:2000)
Incubate primary antibody overnight at 4°C with gentle agitation
Perform extensive washing (5 x 5 minutes) between antibody incubations
Detection considerations:
Use enhanced chemiluminescence with sensitive substrates
Consider fluorescent secondary antibodies for more quantitative analysis
Optimize exposure times for small, potentially low-abundance proteins
Following these guidelines will help ensure successful detection of QCR10 despite its small size and potentially low abundance in some samples.
Immunoprecipitation of small mitochondrial proteins like QCR10 presents unique challenges that require specific optimization:
Lysis buffer formulation:
For native conditions: 50 mM Tris-HCl pH 7.4, 150 mM NaCl, 1% digitonin, protease inhibitors
For denaturing conditions: Consider RIPA buffer with 0.1% SDS
Include phosphatase inhibitors if studying post-translational modifications
Pre-clearing approach:
Incubate lysates with protein A/G beads for 1 hour at 4°C
Remove beads by centrifugation before adding QCR10 antibody
This reduces non-specific binding in the final immunoprecipitate
Antibody binding strategy:
Pre-couple QCR10 antibody to protein A/G beads (2-5 μg per reaction)
Incubate antibody-bead complex with pre-cleared lysate overnight at 4°C
Use gentle rotation to maintain suspension without damaging complexes
Washing optimization:
Perform 3-5 washes with decreasing detergent concentrations
Maintain salt concentration to preserve specific interactions
Use gentle resuspension techniques to avoid bead loss
Elution methods:
Mild elution: Use peptide competition if the epitope is known
Standard elution: 2X SDS sample buffer at 95°C for 5 minutes
For mass spectrometry: Consider on-bead digestion to avoid contaminants
Analysis techniques:
Western blotting with antibodies against potential interaction partners
Silver staining followed by mass spectrometry for interactome studies
Activity assays to assess functional properties of immunoprecipitated complexes
These approaches help overcome the challenges associated with immunoprecipitating small mitochondrial proteins and increase the likelihood of capturing intact protein complexes.
Managing potential cross-reactivity is essential for generating reliable data with QCR10 antibodies, especially given the 28% sequence identity between yeast QCR10 and bovine subunit 11 :
Specificity validation approaches:
Test antibodies against knockout/deletion samples
Perform peptide competition assays
Compare results with multiple antibodies targeting different epitopes
Verify that only a single band appears at the expected molecular weight
Background reduction strategies:
Optimize blocking conditions (test BSA vs. milk vs. commercial blockers)
Adjust antibody dilution to minimize non-specific binding
Include competing proteins (e.g., 5% normal serum from the host species)
Increase washing stringency (duration, detergent concentration)
Sample preparation considerations:
Enrich for mitochondria to increase target concentration
Pre-clear lysates with protein A/G beads before immunoprecipitation
Use fractionation techniques to reduce sample complexity
Alternative detection strategies:
Consider sandwich ELISA formats for increased specificity
Use two-color Western blotting to distinguish specific from non-specific signals
Implement proximity ligation assays for in situ protein detection
Data interpretation guidelines:
Always include appropriate controls in every experiment
Be cautious when interpreting results from complex samples
Validate key findings with orthogonal approaches
Document all experimental conditions to facilitate troubleshooting
These strategies help minimize cross-reactivity issues and ensure the reliability of experimental results with QCR10 antibodies.
Accurate quantification of QCR10 expression requires rigorous methodological approaches:
Western blot quantification:
Use digital image capture with a linear dynamic range
Employ software-based densitometry (ImageJ, Image Lab)
Include standard curves with purified protein when possible
Always normalize to appropriate loading controls:
Total protein stains (Ponceau S, SYPRO Ruby)
Mitochondrial markers (VDAC, COX IV) for mitochondrial proteins
Sample preparation for consistent results:
Standardize cell/tissue lysis protocols
Process all samples simultaneously to reduce batch effects
Quantify total protein concentration before loading
Use consistent sample amounts across experiments
Statistical analysis requirements:
Perform experiments with at least three biological replicates
Apply appropriate statistical tests based on data distribution
Report effect sizes alongside p-values
Consider power analysis to determine sample size requirements
Visualization and reporting:
Present individual data points in addition to means/medians
Use consistent y-axis scales when comparing across experiments
Provide clear information about normalization methods
Report antibody dilutions, exposure times, and image processing steps
| Data Analysis Component | Recommended Approach |
|---|---|
| Image acquisition | Use CCD camera with linear range |
| Background correction | Subtract adjacent area signal |
| Normalization method | Ratio to mitochondrial marker |
| Statistical approach | Paired t-test for before/after comparisons |
| Data presentation | Box plots with individual data points |
These quantification approaches ensure reproducible and reliable assessment of QCR10 expression levels across different experimental conditions.
When encountering inconsistent results with QCR10 antibodies, a systematic troubleshooting approach is essential:
Antibody-related factors:
Verify antibody storage conditions and expiration date
Prepare fresh working dilutions from concentrated stock
Test multiple antibody lots if variability is suspected
Consider epitope accessibility issues for this small protein
Sample preparation variables:
Ensure complete protein extraction and solubilization
Check for protein degradation by including protease inhibitors
For mitochondrial proteins, verify mitochondrial enrichment quality
Consider the impact of post-translational modifications on epitope recognition
Technical parameters:
For Western blotting:
For immunoprecipitation:
Test different lysis buffers with varying detergent types/concentrations
Adjust antibody-to-sample ratio
Modify wash stringency and number of washes
Try alternative elution methods
Systematic documentation:
Maintain detailed records of experimental conditions
Document lot numbers of antibodies and key reagents
Record sample handling procedures precisely
Create a troubleshooting decision tree based on observed results
Alternative approaches:
Consider epitope-tagged versions of QCR10 for difficult applications
Use orthogonal detection methods (mass spectrometry)
Implement proximity labeling approaches for interaction studies
Consult manufacturer's technical support for application-specific guidance
By systematically addressing these factors, researchers can identify and resolve issues leading to inconsistent results with QCR10 antibodies.