COQ10A Antibody

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Product Specs

Buffer
PBS with 0.1% Sodium Azide, 50% Glycerol, pH 7.3. Store at -20°C. Avoid freeze/thaw cycles.
Lead Time
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Synonyms
COQ10A antibody; UNQ6192/PRO20219Coenzyme Q-binding protein COQ10 homolog A antibody; mitochondrial antibody
Target Names
COQ10A
Uniprot No.

Target Background

Function
Coenzyme Q10 plays a crucial role in the respiratory chain by facilitating electron transfer. It may also act as a chaperone or participate in transporting Q6 from its synthesis site to the active sites of respiratory complexes.
Gene References Into Functions
  1. A study found that the redox state of CoQ10 predicts CRP concentration. Individuals at risk with lower ubiquinol levels, higher BMI, and low-grade inflammation may benefit from ubiquinol supplementation. PMID: 26910885
  2. Urinary CoQ analysis provides a noninvasive, reliable, and reproducible method for determining urinary tract CoQ status. PMID: 26768296
  3. Research indicates an age-related increase in the oxidized proportion of muscle coenzyme Q10. PMID: 26107394
  4. This study investigated the effect of Coenzyme Q10 on the Th1/Th2 paradigm in females with idiopathic recurrent pregnancy loss. PMID: 25800618
  5. Serum coenzyme Q10 levels were inversely associated with the risk of disabling dementia. PMID: 25463064
  6. When a childhood mitochondrial disorder is suspected, an increased frequency of type 2C fibers in morphologically normal muscle suggests CoQ10 deficiency. PMID: 23494902
  7. Coenzyme Q10, superoxide dismutase, and oxidative stress play roles in coronary artery disease, but the effect of malondialdehyde, catalase, and glutathione peroxidase is not significant. PMID: 22645453
  8. Rosuvastatin combined with regular exercise preserves coenzyme Q10 levels and significantly increases high-density lipoprotein cholesterol in patients with coronary artery disease. PMID: 21458815
  9. Plasma coenzyme Q10, asymmetric dimethylarginine, and arterial stiffness in patients with familial hypercholesterolemia play a role in phenotypic or genotypic responses to long-term statin therapy. PMID: 21640350
  10. Results show no significant differences in paraoxonase, oxLDL, or other oxidative stress markers after 2 months of acetylsalicylic acid treatment. PMID: 19891963
Database Links

HGNC: 26515

KEGG: hsa:93058

STRING: 9606.ENSP00000312587

UniGene: Hs.4096

Protein Families
COQ10 family
Subcellular Location
Mitochondrion inner membrane; Peripheral membrane protein; Matrix side.

Q&A

What is COQ10A and what biological functions does it serve?

COQ10A is one of two human orthologs of the yeast Coq10 protein (the other being COQ10B). These proteins belong to the START (steroidogenic acute regulatory protein-related lipid transfer) domain family and function as lipid-binding proteins . COQ10A appears to play a critical role in chaperoning Coenzyme Q10 (CoQ10) to sites where it functions within cells .

The biological significance of COQ10A relates to mitochondrial function, as demonstrated by studies showing that expression of human COQ10A can rescue yeast coq10Δ mutant phenotypes, restoring respiratory-dependent growth on nonfermentable carbon sources and reducing sensitivity to oxidative stress . This functional conservation across species underscores COQ10A's importance in fundamental cellular processes related to energy production and oxidative stress management.

How do researchers differentiate between COQ10A and COQ10B antibodies?

Differentiation between COQ10A and COQ10B antibodies is critical for accurate experimental results due to the protein similarity. Research has confirmed that specific anti-COQ10A antibodies do not cross-react with human COQ10B . This specificity is typically achieved through careful epitope selection during antibody development.

When working with these antibodies, researchers should:

  • Perform validation using positive controls (recombinant COQ10A protein)

  • Include negative controls (COQ10B protein) to confirm specificity

  • Use Western blot analysis to verify single-band detection at the appropriate molecular weight

  • Consider employing knockout or knockdown cell lines to further validate antibody specificity

The reported specificity of anti-COQ10A antibodies makes them reliable tools for distinguishing between these related proteins in experimental settings .

What experimental applications are COQ10A antibodies most commonly used for?

COQ10A antibodies serve multiple research applications in studying mitochondrial function and CoQ10 metabolism. The most common applications include:

  • Immunoblotting/Western blotting: For quantifying COQ10A protein levels in different tissues or under varying experimental conditions

  • Immunocytochemistry/Immunohistochemistry: For localizing COQ10A within cellular compartments, particularly in mitochondria

  • Immunoprecipitation: For studying protein-protein interactions between COQ10A and potential binding partners

  • Flow cytometry: For analyzing COQ10A expression in different cell populations

These antibodies are particularly valuable in research exploring mitochondrial disorders, oxidative stress conditions, and inflammatory responses, as COQ10 plays important roles in these processes .

What are the optimal methods for using COQ10A antibodies in mitochondrial research?

When using COQ10A antibodies for mitochondrial research, several methodological considerations can enhance experimental outcomes:

  • Subcellular fractionation protocol:

    • Isolate intact mitochondria using differential centrifugation with sucrose gradient

    • Preserve mitochondrial membrane integrity with appropriate buffer conditions (pH 7.2-7.4)

    • Verify fraction purity using established mitochondrial markers (e.g., VDAC, COX IV)

  • Co-localization studies:

    • Use confocal microscopy with COQ10A antibodies and mitochondrial stains (MitoTracker)

    • Apply appropriate fixation methods that preserve mitochondrial morphology (4% paraformaldehyde, avoiding methanol)

    • Quantify co-localization using analytical software (Pearson's correlation coefficient)

  • Functional assessment:

    • Combine COQ10A immunodetection with measurements of mitochondrial respiration

    • Correlate COQ10A levels with CoQ10 function in electron transport chain activity

    • Monitor changes in COQ10A localization during mitochondrial stress conditions

These approaches allow researchers to connect COQ10A presence and dynamics with mitochondrial function, particularly in contexts related to coenzyme Q transport and utilization .

How can researchers verify the specificity of COQ10A antibodies for experimental use?

Verifying antibody specificity is crucial for reliable research outcomes. For COQ10A antibodies, implement the following validation protocols:

  • Western blot validation:

    • Test against recombinant COQ10A and COQ10B proteins

    • Evaluate recognition patterns in tissues known to express varying levels of COQ10A

    • Confirm single band detection at the expected molecular weight (~24-26 kDa)

  • Genetic validation approaches:

    • Use CRISPR/Cas9-generated COQ10A knockout cells as negative controls

    • Apply siRNA or shRNA knockdown samples to demonstrate reduced signal

    • Test in cells overexpressing COQ10A to confirm increased signal intensity

  • Cross-reactivity assessment:

    • Test antibody against both human COQ10A and COQ10B recombinant proteins

    • Evaluate potential cross-reactivity with other START domain proteins

    • Perform peptide competition assays with the immunizing peptide

Research confirms that properly validated anti-COQ10A antibodies demonstrate specificity without cross-reacting with human COQ10B , making this verification step essential before proceeding with experimental applications.

What methodological approaches can detect interactions between COQ10A and Coenzyme Q10?

Investigating interactions between COQ10A protein and Coenzyme Q10 requires specialized techniques due to the lipid nature of CoQ10. Recommended methodological approaches include:

  • Co-immunoprecipitation with lipid preservation:

    • Use mild detergents (digitonin or DDM) that maintain lipid-protein interactions

    • Apply crosslinking agents before lysis to stabilize transient interactions

    • Analyze precipitated complexes by LC-MS/MS to identify associated lipids

  • Proximity ligation assays:

    • Employ antibodies against COQ10A and lipid-binding domains

    • Visualize interaction through fluorescent signal generation at proximity sites

    • Quantify interaction frequency in different cellular compartments

  • Fluorescence resonance energy transfer (FRET):

    • Label COQ10A with donor fluorophore

    • Use CoQ10 analogs with acceptor fluorophores

    • Measure energy transfer as indicator of molecular proximity

  • Lipid binding assays:

    • Immobilize purified COQ10A protein

    • Incubate with labeled CoQ10

    • Measure binding affinity through fluorescence or surface plasmon resonance

These approaches help elucidate the chaperoning function of COQ10A in transporting CoQ10 to its functional sites, particularly within mitochondria .

How do COQ10A antibodies contribute to research on immune function?

COQ10A antibodies serve as valuable tools in immune function research due to the emerging understanding of connections between mitochondrial function, CoQ10, and immunity. Methodological approaches include:

  • Immunophenotyping of immune cells:

    • Use flow cytometry with COQ10A antibodies to assess expression levels across immune cell subtypes

    • Correlate COQ10A levels with functional immune parameters

    • Track changes in COQ10A expression during immune cell activation

  • Investigation of mitochondrial dynamics in immune cells:

    • Apply COQ10A antibodies in imaging studies of mitochondrial morphology during immune responses

    • Assess co-localization with immune signaling complexes

    • Quantify translocation during immune cell activation

  • Studies of oxidative stress in immune contexts:

    • Measure COQ10A levels in relation to ROS production in immune cells

    • Correlate with antioxidant capacity and inflammatory markers

    • Assess COQ10A distribution changes during oxidative challenges

These approaches are particularly relevant given that CoQ10 has demonstrated roles in enhancing immune cell activation, particularly in natural killer (NK) cells and T-lymphocytes, with supplementation shown to improve immune parameters in clinical studies .

What experimental designs best assess COQ10A's role in inflammatory responses?

To investigate COQ10A's involvement in inflammatory processes, researchers should consider these methodological approaches:

  • Cellular inflammation models:

    • Stimulate cells with inflammatory agents (LPS, TNF-α, IL-6) while monitoring COQ10A expression

    • Use COQ10A knockdown/knockout systems to assess impact on inflammatory marker production

    • Measure NF-κB pathway activation in relation to COQ10A levels

  • Tissue-specific inflammation assessment:

    • Apply immunohistochemistry with COQ10A antibodies to inflamed versus normal tissues

    • Quantify COQ10A distribution changes during inflammatory conditions

    • Correlate with infiltrating immune cell populations

  • Multi-parameter analysis protocol:

    • Simultaneously assess COQ10A levels, mitochondrial function, and inflammatory cytokine production

    • Implement time-course studies to determine sequence of events

    • Evaluate effects of CoQ10 supplementation on COQ10A distribution and inflammatory outcomes

Research indicates that CoQ10 has anti-inflammatory properties, repressing inflammatory gene expression and potentially modulating NF-κB activation . COQ10A antibodies enable researchers to connect the specific protein chaperoning functions with these anti-inflammatory effects.

What are common technical challenges when using COQ10A antibodies and how can they be addressed?

Researchers working with COQ10A antibodies may encounter several technical challenges. Here are evidence-based solutions:

  • Low signal intensity in mitochondrial fractions:

    • Problem: Difficulty detecting endogenous COQ10A

    • Solutions:

      • Use mitochondrial enrichment protocols before analysis

      • Apply signal amplification systems (tyramide signal amplification)

      • Optimize fixation to preserve epitope accessibility

      • Consider alternative extraction buffers containing glycerol to stabilize protein

  • Background or non-specific binding:

    • Problem: Multiple bands or diffuse signal

    • Solutions:

      • Increase blocking stringency (5% BSA with 0.1% Tween-20)

      • Optimize antibody dilution through titration experiments

      • Perform pre-adsorption with recombinant COQ10B

      • Use gradient gels to improve separation of similar molecular weight proteins

  • Variability between experimental replicates:

    • Problem: Inconsistent results between experiments

    • Solutions:

      • Standardize sample collection and processing times

      • Implement precise protein quantification methods

      • Include internal loading controls specific to mitochondrial fraction

      • Develop positive control lysates with known COQ10A expression

These troubleshooting approaches are especially important given that COQ10A levels may vary with cellular energy states and oxidative conditions .

How can researchers optimize immunodetection protocols for COQ10A in different tissue types?

Optimizing COQ10A immunodetection across tissue types requires methodological adaptations:

  • Tissue-specific extraction protocols:

    Tissue TypeRecommended BufferSpecial Considerations
    MuscleRIPA with protease inhibitorsHigh mitochondrial content requires gentle homogenization
    BrainSucrose-based buffer (0.32M)Lipid content requires additional detergent (0.5% NP-40)
    LiverMannitol-sucrose bufferHigh enzyme content requires protease inhibitor cocktail
    Blood cellsHypotonic lysis bufferRBC contamination requires additional washing steps
  • Fixation optimization for immunohistochemistry:

    • Cardiac tissue: 4% PFA for 24h at 4°C

    • Neuronal tissue: 2% PFA with 0.2% glutaraldehyde

    • Skeletal muscle: Acetone fixation for preserved antigenicity

  • Antigen retrieval methods:

    • Heat-induced epitope retrieval: Citrate buffer (pH 6.0) for most tissues

    • Enzymatic retrieval: Proteinase K treatment for fibrous tissues

    • Dual retrieval: Combined heat and enzymatic for tissues with high collagen content

These optimizations account for varying COQ10A expression levels across tissues and the protein's association with mitochondria, which are differently distributed in various tissue types .

What analytical approaches can quantify COQ10A expression in relation to mitochondrial function?

For quantitative analysis correlating COQ10A expression with mitochondrial function, implement these methodological approaches:

  • Integrated mitochondrial assessment protocol:

    • Measure COQ10A protein levels via quantitative immunoblotting

    • Simultaneously assess oxygen consumption rate (OCR) in the same samples

    • Correlate COQ10A levels with Complex I-III activity measurements

    • Normalize to mitochondrial content markers (citrate synthase, VDAC)

  • Image-based quantification workflow:

    • Perform dual immunofluorescence for COQ10A and mitochondrial markers

    • Apply automated image analysis to quantify:

      • COQ10A signal intensity

      • Mitochondrial network parameters (length, branching)

      • Co-localization coefficients

    • Correlate measurements with functional assays

  • Multi-omics integration approach:

    • Combine COQ10A protein quantification with:

      • Metabolomics data on CoQ10 levels

      • Transcriptomics of mitochondrial genes

      • Functional respiratory chain complex assays

    • Apply bioinformatic integration to identify correlative patterns

These analytical methods provide comprehensive assessment of how COQ10A levels relate to mitochondrial function, particularly in contexts of CoQ10 transport and utilization in the respiratory chain .

What emerging technologies might enhance COQ10A antibody applications in research?

Several cutting-edge technologies show promise for advancing COQ10A antibody applications:

  • Proximity-dependent biotinylation (BioID/TurboID):

    • Fuse biotin ligase to COQ10A to identify proximal interacting proteins

    • Map the dynamic COQ10A interactome under various cellular conditions

    • Identify novel binding partners in mitochondrial membranes

  • Super-resolution microscopy techniques:

    • Apply STORM or PALM imaging with COQ10A antibodies

    • Resolve sub-mitochondrial localization of COQ10A

    • Track dynamics at nanometer resolution during cellular stress

  • Mass cytometry (CyTOF) applications:

    • Develop metal-conjugated COQ10A antibodies

    • Enable high-dimensional analysis of COQ10A in relation to multiple cellular markers

    • Identify cell populations with distinctive COQ10A expression patterns

  • CRISPR-based genetic tagging:

    • Generate endogenously tagged COQ10A for live-cell imaging

    • Create split-fluorescent protein complementation systems to visualize interactions

    • Develop CRISPR activation/inhibition systems to modulate COQ10A expression

These technologies will help elucidate COQ10A's precise role in CoQ10 transport and function, particularly in relation to mitochondrial dynamics and immune cell activation .

How might future COQ10A antibody research contribute to understanding mitochondrial diseases?

COQ10A antibody research holds significant potential for advancing mitochondrial disease understanding through these methodological approaches:

  • Patient-derived cell studies:

    • Analyze COQ10A expression and localization in cells from patients with mitochondrial disorders

    • Correlate patterns with disease phenotypes and severity

    • Assess response to CoQ10 supplementation in relation to COQ10A dynamics

  • Tissue microarray analysis:

    • Develop tissue microarrays from mitochondrial disease patients

    • Apply COQ10A antibodies for high-throughput immunohistochemical analysis

    • Identify tissue-specific patterns of dysregulation

  • Functional rescue experiments:

    • Combine COQ10A immunodetection with functional rescue assays

    • Assess whether CoQ10 supplementation normalizes COQ10A distribution

    • Correlate with restoration of mitochondrial function

This research direction is particularly promising given existing evidence that CoQ10 supplementation can improve immune function and may benefit patients with mitochondrial disorders, including those with T-cell dysfunction and recurrent infections associated with CoQ10 deficiency .

How do methodologies for studying COQ10A compare with approaches for other CoQ-related proteins?

Understanding the methodological differences when studying various CoQ-related proteins is essential for experimental design:

  • Comparative antibody validation requirements:

    ProteinKey Validation StepsSpecial Considerations
    COQ10AVerify no cross-reactivity with COQ10BMitochondrial localization requires specific sample preparation
    COQ10BTest specificity against COQ10ADifferent mitochondrial sublocation may require alternative extraction
    COQ biosynthetic enzymesVerify enzymatic activity correlationLarger protein complexes may require gentler extraction
  • Functional assay differences:

    • COQ10A/B: Focus on CoQ transport and localization

    • COQ biosynthetic enzymes: Measure enzymatic activity and CoQ production

    • Electron transport proteins: Assess respiratory chain complex function

  • Localization study adaptations:

    • COQ10A/B: Primarily mitochondrial membrane focus

    • COQ biosynthetic complex: Need to preserve multi-protein complexes

    • COQ9: Consider interaction with COQ7 in experimental design

These comparative approaches acknowledge that while COQ10A and COQ10B share functional roles in CoQ chaperoning, they have distinct subcellular distributions and potential functional differences that require specific methodological considerations .

What methodological approaches best examine the relationship between COQ10A and immune dysfunction?

To investigate connections between COQ10A and immune dysfunction, researchers should implement these specialized approaches:

  • Immune cell subtype analysis protocol:

    • Isolate specific immune cell populations (NK cells, T cells, B cells, macrophages)

    • Quantify COQ10A expression across subtypes using flow cytometry

    • Correlate with functional immune parameters (cytokine production, proliferation)

    • Compare patterns between healthy controls and immunodeficient subjects

  • Activation-dependent assessment:

    • Monitor COQ10A levels before and after immune cell activation

    • Track mitochondrial redistribution during immune synapse formation

    • Correlate COQ10A localization with immune effector functions

  • Intervention study design:

    • Manipulate COQ10A levels through genetic approaches

    • Assess impact on immune cell function (particularly T cell proliferation)

    • Determine whether CoQ10 supplementation rescues immune dysfunction

These approaches are supported by evidence that CoQ10 deficiency has been associated with immune dysfunction, including abnormal T-cell function and recurrent infections, with supplementation shown to improve T-cell proliferative response and reduce infection frequency .

What key considerations should guide researchers designing experiments with COQ10A antibodies?

When designing experiments utilizing COQ10A antibodies, researchers should adhere to these evidence-based recommendations:

  • Validation priorities:

    • Always validate antibody specificity against both COQ10A and COQ10B

    • Include appropriate positive and negative controls in every experiment

    • Document lot-to-lot variation through consistent validation protocols

  • Experimental design considerations:

    • Account for mitochondrial dynamics and potential redistribution of COQ10A

    • Consider energy state of cells when interpreting COQ10A localization

    • Include assessments of oxidative stress parameters alongside COQ10A measurements

    • Design time-course experiments to capture dynamic changes

  • Contextual factors:

    • Record and control for factors that influence mitochondrial function (cell confluence, passage number)

    • Consider tissue-specific expression patterns when selecting experimental models

    • Account for potential changes in COQ10A expression during cellular stress responses

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