P2X3 receptors (homomeric P2X3 or heteromeric P2X2/3) are ligand-gated cation channels activated by extracellular ATP. They are predominantly expressed in nociceptive sensory neurons and contribute to pain signaling under pathological conditions such as tissue injury or visceral distension .
Monoclonal antibodies (mAbs) targeting P2X3 receptors exhibit subtype-specific modulation, kinetic-state dependency, and prolonged inhibitory effects. Key candidates include:
Applications:
P2X3-targeting mAbs reduce hyperalgesia in rodent models of chronic pain .
Table: In Vivo Efficacy of P2X3 Antibodies
*AF-130 is a small-molecule P2X3 antagonist; included for comparative context.
P2X3 receptor antagonism attenuates pathological breathing and autonomic imbalance in heart failure models .
Systemic administration reduces inflammatory biomarkers (e.g., IL-1β) and improves pulmonary function .
Epitope Specificity: Antibodies like 12D4 bind extracellular loops adjacent to ATP-binding pockets, inducing conformational changes that stabilize closed-channel states .
Species Cross-Reactivity: APR-026 recognizes conserved epitopes across rodent and human P2X3 receptors, enabling translational research .
ACX3.2 Identity: No peer-reviewed studies or patents explicitly reference "ACX3.2." Hypothetically, it could denote:
Safety Profile: Prolonged P2X3 blockade may risk autonomic dysfunction or immune suppression .
KEGG: ath:AT1G06310
STRING: 3702.AT1G06310.1
ACX3.2 Antibody is a rabbit polyclonal antibody that specifically recognizes ACX6 (acyl-CoA oxidase 6) in Arabidopsis thaliana . This antibody targets plant antigens and is designed to detect proteins involved in fatty acid β-oxidation pathways. ACX3.2 corresponds to the T2D23.2 gene product, which functions in peroxisomal fatty acid metabolism . The antibody has been validated for several immunological techniques and is purified through antigen affinity methods to ensure specificity .
The ACX3.2 Antibody has been validated for multiple research applications, including:
Enzyme Immunoassays (EIA)
Enzyme-Linked Immunosorbent Assay (ELISA)
Western Blot (WB) analysis
In Western blot applications, the antibody has been confirmed to generate positive signals when used against the recombinant immunogen protein/peptide . This versatility makes it a valuable tool for researchers investigating acyl-CoA oxidase expression and function in plant systems.
Acyl-CoA oxidases (ACOXs) play crucial roles in plant metabolism as they catalyze the first step in fatty acid β-oxidation. Similar to what has been observed in other organisms like the lipolytic yeast Candida aaseri SH14, which contains three Acyl-CoA oxidases encoded by different genes (CaAOX2, CaAOX4, and CaAOX5) , plants utilize these enzymes for breaking down fatty acids for energy production and metabolite synthesis. Understanding ACX proteins provides insights into:
The ACX3.2 Antibody is formulated with 50% glycerol and contains 0.03% Proclin 300 as a preservative . This formulation helps maintain antibody stability during storage and prevents microbial contamination. The IgG isotype antibody is provided in a non-conjugated format, making it versatile for different detection systems depending on research needs .
Researchers can employ ACX3.2 Antibody to investigate the complex network of lipid metabolism in Arabidopsis through multiple approaches:
Tissue-specific expression analysis: Using immunohistochemistry techniques adapted from those used with other antibodies such as P2X3 receptor antibodies , researchers can localize ACX6 expression across different plant tissues and developmental stages.
Metabolic flux studies: By combining ACX3.2 Antibody detection with metabolomic approaches, researchers can correlate protein expression levels with changes in fatty acid oxidation rates.
Protein-protein interaction studies: Immunoprecipitation using ACX3.2 Antibody can help identify binding partners of ACX6, revealing regulatory networks in peroxisomal metabolism.
Stress response investigations: Western blot analysis using this antibody can quantify changes in ACX6 expression under various environmental stresses, similar to methodology used in other protein expression studies .
When designing experiments involving ACX3.2 Antibody in knockout or mutation studies:
Genetic validation: Confirm the genotype of mutant lines using PCR before antibody studies.
Protein expression confirmation: Use the ACX3.2 Antibody in Western blot analysis to confirm the absence or alteration of the target protein in mutant lines.
Functional complementation: Design experiments where the antibody can be used to detect reintroduced wild-type or modified ACX6 protein in mutant backgrounds.
Control selection: Include appropriate wild-type controls processed simultaneously with mutant samples to ensure comparable detection conditions.
Cross-reactivity assessment: Test for potential cross-reactivity with related ACX proteins, especially in studies of compensatory expression in ACX6 mutants.
| Sample Type | Recommended Antibody Dilution | Expected Results | Controls |
|---|---|---|---|
| Wild-type plant tissue | 1:1000-1:2000 | Clear band at expected molecular weight | Secondary antibody only |
| ACX6 knockout tissue | 1:1000-1:2000 | No band at target molecular weight | Wild-type tissue |
| ACX6 overexpression | 1:2000-1:5000 | Enhanced band intensity | Wild-type and vector-only controls |
| ACX6 point mutations | 1:1000-1:2000 | Band at expected molecular weight (possibly altered mobility) | Wild-type protein |
ACX3.2 Antibody can be effectively used to investigate signaling pathways through several approaches:
Phosphorylation studies: By combining ACX3.2 Antibody detection with phospho-specific antibodies, researchers can determine if regulatory phosphorylation affects ACX6 function, similar to approaches used in adipocyte differentiation studies with PPARγ and MAPK pathways .
Hormone response analysis: Western blot analysis using ACX3.2 Antibody can reveal changes in ACX6 expression following treatment with plant hormones, providing insights into regulatory mechanisms.
Transcriptional regulation: Comparing protein detection using ACX3.2 Antibody with RT-PCR data can elucidate post-transcriptional regulation mechanisms affecting ACX6 levels.
Environmental stress response: Quantitative analysis of ACX6 protein levels using ACX3.2 Antibody under different stress conditions can reveal functional adaptations in fatty acid metabolism.
For optimal Western blot results with ACX3.2 Antibody, follow these guidelines:
Sample preparation:
Extract proteins using a buffer containing protease inhibitors
Determine protein concentration using BCA or Bradford assay
Load 20-50 μg of total protein per lane
Gel electrophoresis:
Use 10% SDS-PAGE gels for optimal separation
Include molecular weight markers
Transfer conditions:
Transfer to PVDF membrane at 100V for 1 hour or 30V overnight
Verify transfer with reversible staining
Blocking:
Antibody incubation:
Dilute primary ACX3.2 Antibody 1:1000 to 1:2000 in blocking buffer
Incubate overnight at 4°C with gentle agitation
Wash thoroughly with TBS-T (3 × 10 minutes)
Incubate with appropriate HRP-conjugated secondary antibody (1:5000) for 1 hour at room temperature
Detection:
Use enhanced chemiluminescence (ECL) detection system
Optimize exposure time to avoid saturation
Consider using digital imaging systems for quantification
For ELISA applications with ACX3.2 Antibody:
Sample preparation:
For plant tissue: Homogenize in phosphate-buffered saline (PBS) with protease inhibitors
Centrifuge at 12,000 × g for 15 minutes at 4°C
Collect supernatant and determine protein concentration
Plate coating:
For direct ELISA: Coat plates with 1-10 μg/ml of sample protein in coating buffer (50 mM carbonate-bicarbonate buffer, pH 9.6)
For sandwich ELISA: Coat with a capture antibody against ACX6 or a related protein
Blocking:
Block with 3% BSA in PBS for 1-2 hours at room temperature
Antibody application:
For direct ELISA: Apply ACX3.2 Antibody at 1:1000 dilution
For sandwich ELISA: Apply sample first, then ACX3.2 Antibody
Detection:
Use appropriate HRP-conjugated secondary antibody
Develop with TMB substrate and measure absorbance at 450 nm
Controls:
Include positive control (purified ACX6 protein if available)
Include negative control (samples from ACX6 knockout plants)
Include blank wells for background subtraction
Validating antibody specificity is crucial for reliable research results. For ACX3.2 Antibody, consider these approaches:
Genetic validation:
Compare Western blot results between wild-type and ACX6 knockout plants
Expected result: Signal should be absent or significantly reduced in knockout samples
Peptide competition assay:
Recombinant protein validation:
Test antibody against purified recombinant ACX6 protein
Expected result: Single band at the expected molecular weight
Mass spectrometry validation:
Perform immunoprecipitation using ACX3.2 Antibody
Analyze precipitated proteins by mass spectrometry
Expected result: ACX6 protein should be identified as the predominant protein
Cross-reactivity testing:
Test against other ACX family members (if available)
Expected result: Minimal or no detection of other family members
When encountering weak or absent signals with ACX3.2 Antibody, consider these troubleshooting approaches:
Protein extraction optimization:
Ensure complete protein extraction with appropriate buffers
Add protease inhibitors to prevent degradation
Consider different extraction methods for membrane-associated proteins
Antibody concentration adjustment:
Increase primary antibody concentration (try 1:500 or 1:200)
Increase incubation time to overnight at 4°C
Consider using signal enhancement systems
Detection system sensitivity:
Switch to more sensitive detection reagents
Increase substrate incubation time
Consider different membrane types (PVDF vs. nitrocellulose)
Sample handling improvements:
Avoid freeze-thaw cycles of samples
Process samples immediately after collection
Keep samples cold throughout preparation
Protein denaturation considerations:
Test different denaturation conditions (boiling time, reducing agents)
For membrane proteins, avoid excessive boiling that may cause aggregation
When facing contradictory results across different experimental platforms:
Platform-specific optimization:
Adjust antibody concentrations for each platform independently
Optimize detection methods for each specific technique
Validate antibody performance on each platform separately
Sample preparation consistency:
Standardize protein extraction methods across experiments
Use the same buffer systems when possible
Process all comparative samples simultaneously
Control implementation:
Include consistent positive and negative controls across all platforms
Use recombinant protein standards when available
Include internal loading controls appropriate for each platform
Quantification methods:
Apply appropriate normalization techniques for each platform
Use multiple quantification methods to verify results
Apply statistical analyses to determine significance of differences
Biological validation:
Confirm key findings using complementary approaches
Consider genetic approaches (RNAi, CRISPR) to validate antibody results
Compare protein and mRNA levels to identify post-transcriptional regulation
For rigorous quantitative analysis of ACX3.2 Antibody signals:
Normalization approaches:
Replicate design:
Perform at least three biological replicates
Include multiple technical replicates within each biological replicate
Apply appropriate statistical tests based on experimental design
Statistical analysis methods:
For comparing two conditions: t-test (paired or unpaired as appropriate)
For multiple conditions: ANOVA with appropriate post-hoc tests
For non-normally distributed data: Non-parametric alternatives
Regression analysis:
For dose-response studies: Apply appropriate regression models
For time-course experiments: Consider repeated measures analysis
Data reporting:
Report means with standard deviation or standard error
Include p-values and significance thresholds
Present normalized data alongside representative raw data images
When considering ACX3.2 Antibody in relation to other ACX-targeting antibodies:
Target specificity comparison:
Species reactivity:
Performance characteristics:
Compare sensitivity limits across different antibodies
Evaluate specificity using knockout controls
Compare signal-to-noise ratios in common applications
Application versatility:
For comprehensive studies of plant metabolism using ACX3.2 Antibody:
Complementary antibodies:
Antibodies against other β-oxidation enzymes
Antibodies against peroxisomal marker proteins
Antibodies against regulatory proteins in lipid metabolism
Metabolic analysis tools:
Metabolomic profiling platforms to measure fatty acid intermediates
Isotope labeling approaches to track metabolic flux
Enzyme activity assays to correlate protein levels with function
Transcriptomic approaches:
RT-qPCR for targeted gene expression analysis
RNA-seq for global transcriptional responses
Compare protein levels (via ACX3.2 Antibody) with mRNA expression
Genetic resources:
ACX6 mutant lines for functional validation
Overexpression lines to study gain-of-function phenotypes
Reporter constructs for localization and expression studies
Imaging technologies:
Confocal microscopy for subcellular localization studies
In vivo imaging systems for temporal expression patterns
Super-resolution approaches for detailed structural analysis
Integrating ACX3.2 Antibody data into systems biology frameworks:
Multi-omics integration:
Correlate protein levels detected by ACX3.2 Antibody with transcriptomic data
Integrate with metabolomic profiles of fatty acids and related metabolites
Combine with proteomic data to identify co-regulated protein networks
Pathway modeling:
Incorporate ACX6 protein levels into models of fatty acid β-oxidation
Develop kinetic models incorporating enzyme abundance data
Perform flux balance analysis with constraints derived from antibody quantification
Network analysis:
Identify hub proteins and regulatory nodes connected to ACX6
Perform gene ontology enrichment analysis of co-expressed proteins
Construct protein-protein interaction networks centered on ACX6
Temporal and spatial mapping:
Map ACX6 expression across developmental stages using ACX3.2 Antibody
Correlate with tissue-specific metabolic profiles
Develop spatiotemporal models of fatty acid metabolism
Comparative systems analysis:
Compare ACX6 regulation across multiple plant species
Analyze evolutionary conservation of regulatory mechanisms
Identify species-specific adaptations in fatty acid metabolism