ACO2 antibodies are available in multiple formats, optimized for diverse experimental techniques:
| Supplier | Host/Type | Reactivity | Applications | MW (kDa) |
|---|---|---|---|---|
| Cell Signaling | Rabbit/Monoclonal | Human, Mouse, Rat, Mk | WB, IF | 85 |
| Proteintech | Mouse/Monoclonal | Human, Mouse, Rat, Pig | WB, IHC, FC, ELISA | 85 |
| Boster Bio | Rabbit/Polyclonal | Human, Mouse, Rat | WB | 85 |
| Abcam | Rabbit/Polyclonal | Human, Mouse, Rat | WB, IHC, IF | 85 |
| Proteintech (2) | Rabbit/Polyclonal | Human, Mouse, Rat | WB, IHC, IF/ICC, ELISA | 85 |
Western Blot (WB): Detects endogenous ACO2 at 85 kDa in tissues like liver, skeletal muscle, and brain .
Immunohistochemistry (IHC): Validated for tumor tissues (e.g., lung cancer, prostate cancer) and normal tissues (e.g., kidney, colon) .
Immunofluorescence (IF): Localizes to mitochondria in cell lines like HeLa and Jurkat .
ACO2 antibodies have been pivotal in studying mitochondrial dysfunction in:
Parkinson’s Disease (PD): ACO2 deficiency correlates with early-onset PD and dopaminergic neuron degeneration .
Cancer Prognosis: High ACO2 expression predicts poor survival in renal cell carcinoma (RCC) and hepatocellular carcinoma (HCC) .
Immune Modulation: ACO2 inhibition enhances bacterial immunity by upregulating the mitochondrial unfolded protein response (UPRmt) and cytokine production (IL6, IL8) .
Cancer Immunotherapy: ACO2 expression correlates with tumor-infiltrating CD8+ T cells and neutrophils in cancers like liver and prostate .
PD Models: ACO2 knock-in mice show exacerbated motor deficits and autophagy-related gene downregulation (LC3, Atg5) .
Mitochondrial Dysfunction: ACO2 knockdown disrupts the TCA cycle, increasing oxidative stress and mtDNA damage .
Pan-Cancer Analysis: ACO2 overexpression is diagnostic in six tumor types (e.g., HCC, melanoma) and correlates with lipid metabolism alterations .
Therapeutic Targeting: Inhibiting ACO2 reduces tumor cell proliferation and migration in HCC .
ACO2 (Aconitase 2) is a mitochondrial enzyme that catalyzes the isomerization of citrate to isocitrate via cis-aconitate intermediate as part of the Krebs cycle . This 85 kDa protein plays a crucial role in cellular energy metabolism and has been implicated in several neurological disorders .
ACO2 antibodies are important research tools because:
They enable detection and quantification of ACO2 protein levels in various experimental systems
They facilitate investigation of mitochondrial function and dysfunction
They help researchers study the role of ACO2 in neurodegenerative conditions like infantile cerebellar retinal degeneration (ICRD) and optic neuropathies
They allow for the assessment of mutations' effects on protein expression, localization, and function
The relationship between ACO2 and iron regulatory proteins, particularly IRP1 (which can either bind to iron-responsive elements or possess aconitase activity in its Fe-containing form), makes these antibodies valuable for studying iron metabolism and its regulation .
ACO2 antibodies have been validated for multiple experimental applications. When selecting an antibody for your research, it's important to ensure it has been specifically validated for your intended application.
Researchers should always perform optimization experiments to determine the optimal antibody concentration for their specific experimental conditions, sample types, and detection methods. Appropriate positive and negative controls should be included to validate antibody specificity .
Validation of antibody specificity is critical for obtaining reliable research results. For ACO2 antibodies, consider these methodological approaches:
Western blot analysis with multiple cell lines: Compare ACO2 detection across different cell types known to express the protein (e.g., HEK-293T, A431, HeLa, HepG2, and Jurkat cells) . The expected molecular weight for ACO2 is approximately 85 kDa .
Knockout/knockdown controls: Use ACO2 knockout cells or siRNA-mediated knockdown samples as negative controls to confirm antibody specificity.
Cross-reactivity testing: If working with non-human samples, verify the species cross-reactivity of your antibody. Many ACO2 antibodies react with human, mouse, rat, and monkey samples, but validation is essential .
Competing peptide assay: Pre-incubate the antibody with the immunizing peptide before application to demonstrate binding specificity.
Immunoprecipitation followed by mass spectrometry: This approach confirms that the immunoprecipitated protein is indeed ACO2.
Documented validation results should be maintained according to good laboratory practice guidelines. Remember that antibody performance can vary between lots and may degrade over time, necessitating periodic revalidation .
Successful Western blotting with ACO2 antibodies requires attention to several methodological details:
Sample preparation:
Gel selection:
Transfer conditions:
Blocking and antibody incubation:
Controls:
Following these methodological guidelines will help ensure specific detection of ACO2 and reliable quantification of protein levels in your samples.
Proper storage and handling of ACO2 antibodies are crucial for maintaining their performance over time:
Storage conditions:
Follow manufacturer's recommendations for storage temperature (typically -20°C for aliquots)
Avoid repeated freeze-thaw cycles by preparing single-use aliquots
Store antibody solutions away from direct light
Working dilutions:
Prepare fresh working dilutions for each experiment
Dilute in recommended buffers (typically PBS with 0.1% BSA)
Consider adding sodium azide (0.02%) to working dilutions if they will be stored
Quality control:
Note the lot number and validate each new lot
Track antibody performance over time
Re-test antibody activity if stored for extended periods
Contamination prevention:
Use sterile technique when handling antibody solutions
Avoid introducing bacteria or other contaminants
By following these practices, researchers can maximize antibody lifespan and ensure consistent experimental results over time.
ACO2 mutations have been identified in several neurodegenerative conditions, including infantile cerebellar retinal degeneration (ICRD) and optic neuropathies . ACO2 antibodies serve as valuable tools for investigating these conditions through multi-faceted approaches:
Protein expression analysis:
Subcellular localization studies:
Use immunofluorescence to evaluate ACO2 localization in mitochondria
Investigate potential mislocalization in disease states
Combine with mitochondrial markers to assess morphological changes
Integrated functional studies:
Transcriptomic correlation:
Recent research has demonstrated that biallelic ACO2 variants can reduce mitochondrial aconitase activity to approximately 29.3% of wild-type levels, while monoallelic variants result in approximately 69.0% activity . These findings highlight the importance of quantitative protein analysis in understanding genotype-phenotype correlations in ACO2-related disorders.
Combining ACO2 antibody detection with enzymatic activity measurement provides a comprehensive assessment of ACO2 function in research and clinical samples:
Sample preparation for dual analysis:
Prepare mitochondrial extracts from peripheral blood leukocytes or cultured cells
Divide samples for parallel protein detection and activity assays
Maintain consistent sample handling to minimize variability
Activity assay methodology:
Protein quantification protocol:
Data integration approach:
Normalize activity to protein levels to distinguish between expression and functional defects
Calculate specific activity (activity per unit of protein)
Compare activity-to-expression ratios between experimental groups
Research has shown that in cases with biallelic ACO2 variants, mitochondrial aconitase activity drops to approximately 29.3% of wild-type levels, while the mtDNA copy number decreases to 43.5% . These measurements provide critical insights into the functional consequences of genetic variations and their potential contribution to disease pathogenesis.
Non-specific binding can complicate interpretation of experimental results when using ACO2 antibodies. Here are methodological approaches to identify and resolve these issues:
Identifying non-specific binding:
Unexpected bands on Western blots (ACO2 should appear at ~85 kDa)
Diffuse or unusual staining patterns in immunocytochemistry
Positive signal in negative control samples
Signal in tissues or cells known not to express ACO2
Optimization strategies:
Blocking optimization: Test different blocking agents (BSA, milk, commercial blockers) and concentrations
Antibody dilution: Use higher dilutions of primary antibody (e.g., 1:3,000 instead of 1:1,000)
Incubation conditions: Adjust temperature and duration of antibody incubation
Washing protocols: Increase wash duration or detergent concentration
Validation approaches:
Peptide competition: Pre-incubate antibody with immunizing peptide to confirm specificity
Multiple antibodies: Test different antibody clones targeting distinct epitopes of ACO2
Knockdown controls: Use siRNA to reduce ACO2 expression and confirm signal reduction
Technical considerations:
Sample preparation: Ensure complete protein denaturation for Western blotting
Fixation methods: Optimize fixation protocols for immunocytochemistry/immunohistochemistry
Secondary antibody selection: Choose secondary antibodies with minimal cross-reactivity
By systematically implementing these approaches, researchers can significantly improve specificity and reduce background when using ACO2 antibodies across different experimental applications.
ACO2 function is intimately connected to iron metabolism, particularly through its iron-sulfur cluster requirement and relationship with iron regulatory proteins:
Molecular basis of the ACO2-iron relationship:
ACO2 contains an iron-sulfur [4Fe-4S] cluster essential for its enzymatic activity
It is functionally related to iron regulatory proteins, particularly IRP1, which can interchangeably bind to iron-responsive elements or possess aconitase activity in its Fe-containing form
Molecular docking studies predict that certain ACO2 variants disrupt interactions with the iron-sulfur cluster
Methodological approaches to study this relationship:
Co-immunoprecipitation: Use ACO2 antibodies to pull down protein complexes and analyze iron-related binding partners
Double immunolabeling: Combine ACO2 antibodies with antibodies against iron regulatory proteins to assess co-localization
Fractionation studies: Compare cytosolic and mitochondrial aconitase activities and protein levels
Iron chelation experiments: Assess changes in ACO2 protein levels and activity under iron-depleted conditions
Combined functional approaches:
Measure both ACO2 protein levels and enzyme activity under various iron availability conditions
Analyze effects of iron supplementation or chelation on the severity of phenotypes in ACO2-deficient cells
Track changes in iron-responsive element-regulated genes alongside ACO2 activity
Structure-function analysis:
Understanding this relationship has implications for both basic research and clinical applications, as iron dysregulation and mitochondrial dysfunction are common features in many neurodegenerative diseases associated with ACO2 mutations.
Integrating transcriptomic and proteomic approaches with ACO2 antibody-based studies provides a comprehensive understanding of ACO2-related pathways and disease mechanisms:
Integrated experimental design:
Perform parallel transcriptomic and proteomic analyses on the same experimental samples
Use ACO2 antibodies for protein validation of transcriptomically identified candidates
Apply pathway analysis to identify networks involving ACO2
Validation of transcriptomic findings:
Functional correlation methodologies:
Create protein-protein interaction networks based on transcriptomic data
Validate key interactions using co-immunoprecipitation with ACO2 antibodies
Perform functional assays to confirm the biological relevance of identified interactions
Disease-specific applications:
Compare transcriptomic profiles from patient cells with ACO2 mutations to controls
Validate differential expression at the protein level using antibody-based techniques
Correlate findings with clinical features and disease severity
Recent research leveraged this integrated approach to identify 80 key candidate genes involved in ACO2-related neuropathy . Among these, LRP8 and ANK3 showed significant positive correlation with ACO2 at the transcriptomic level, which was subsequently validated through protein analysis. This integrated approach revealed that in addition to mitochondrial dysfunction, immune and neurophysiological functions are also involved in ACO2-related pathologies .
ACO2 mutations cause a spectrum of neurological disorders with varying severities, making genotype-phenotype correlation studies crucial:
Patient cohort analysis approaches:
Mutation-specific effects assessment:
Compare protein levels across different mutation types (missense, truncating, etc.)
Assess subcellular localization changes using immunofluorescence
Determine if specific domains are differentially affected by various mutations
Methodological considerations:
Standard sample collection and processing protocols to ensure comparability
Use of appropriate controls (healthy individuals, carriers, affected individuals)
Quantitative image analysis for immunofluorescence studies
Research has revealed important genotype-phenotype correlations in ACO2-related disorders:
Dominant mutations (found in 50 individuals) typically cause less severe phenotypes than recessive mutations (found in 11 individuals)
Recessive cases show more severe clinical manifestations, though not necessarily earlier onset
Extraocular features occur in 27% of recessive cases compared to 11% of dominant cases
These findings highlight how antibody-based protein assessment can contribute to understanding the relationship between genetic variations and clinical presentations.
While ACO2 antibodies are primarily research tools, they may have diagnostic value in specialized settings:
Tissue and sample processing protocols:
Quality control requirements:
Inclusion of positive and negative control tissues in each batch
Standardized scoring systems for expression levels
Regular validation using molecularly confirmed cases
Complementary testing approaches:
Integration with enzymatic activity measurements
Correlation with genetic testing results
Combined assessment with other mitochondrial markers
Interpretation guidelines:
Differential expression patterns in affected versus unaffected tissues
Recognition of subcellular localization changes that may indicate pathology
Awareness of potential confounding factors (tissue quality, processing artifacts)
ACO2 antibodies can facilitate therapeutic development through several research applications:
Drug screening methodologies:
High-throughput screening assays using ACO2 antibodies to detect protein stabilization
Assessment of compounds that may enhance residual ACO2 activity
Evaluation of therapies targeting downstream pathways identified through ACO2 interactions
Gene therapy monitoring:
Quantification of ACO2 expression following gene therapy interventions
Assessment of proper subcellular localization of transgene-expressed protein
Long-term monitoring of therapeutic efficacy through protein expression analysis
Patient stratification approaches:
Development of antibody-based assays to identify patients most likely to respond to specific therapies
Correlation of baseline protein levels with treatment outcomes
Identification of biomarkers for treatment response
Therapeutic mechanism studies:
Investigation of how potential therapeutic compounds affect ACO2 stability and function
Assessment of effects on protein-protein interactions and signaling networks
Monitoring of changes in mitochondrial morphology and function following treatment
These applications are particularly relevant given recent findings about the molecular mechanisms underlying ACO2-related neuropathies, including alterations in metabolism-related, immune-related, neurophysiological-related, and calcium-related signaling pathways .
Emerging applications of ACO2 antibodies in mitochondrial research include:
Super-resolution microscopy techniques:
Nanoscale visualization of ACO2 distribution within mitochondria
Assessment of protein clustering and microcompartmentalization
Co-localization studies with other Krebs cycle enzymes at unprecedented resolution
Live-cell imaging applications:
Development of cell-permeable ACO2 antibody fragments for live imaging
Monitoring of dynamic changes in ACO2 distribution during cellular stress
Real-time assessment of mitochondrial responses to metabolic challenges
Mitochondrial dynamics studies:
Investigation of ACO2 distribution during mitochondrial fission and fusion events
Analysis of protein redistribution during mitophagy
Correlation between ACO2 localization and functional mitochondrial domains
Multi-omics integration approaches:
Combining antibody-based spatial proteomics with metabolomics
Correlation of ACO2 distribution with local metabolite concentrations
Integration with mitochondrial transcriptomics to map structure-function relationships
These emerging techniques expand the utility of ACO2 antibodies beyond traditional applications, providing new insights into mitochondrial biology and disease mechanisms. Recent research has already demonstrated the value of integrating ACO2 protein studies with transcriptomics and functional assays to identify new pathways involved in mitochondrial diseases .