Carbonic Anhydrase IV (CA4) is a zinc metalloenzyme critical for catalyzing the reversible hydration of carbon dioxide. It is expressed in renal, pulmonary, and vascular tissues, playing roles in ion transport and acid-base homeostasis . The CA4 antibody (MAB2186) binds to a linear epitope within residues Ala19-Lys283 of human CA4, with specificity confirmed via Western blot (35 kDa band under non-reducing conditions) .
10% cross-reactivity with human CA1 and CA2, and mouse CA4.
No reactivity with CA3, CA8, CA9, CA10, CA12, CA13, or CA14 .
General Structure: Antibodies adopt a heterotetrameric "Y" shape with two heavy chains (HCs) and two light chains (LCs). Variable domains (VH/VL) enable antigen binding, while constant domains (CH1–CH3/CL) mediate effector functions .
CA4 Antibody Features:
MAB2186 binds to extracellular loops of CA4, likely targeting a conformational epitope rather than linear sequences. This is consistent with typical autoantibody behavior in autoimmune disorders .
Sample: Jurkat T-cell leukemia lysates and human lung tissue.
Conditions: Non-reducing SDS-PAGE, 2 µg/mL antibody concentration.
| Property | Details |
|---|---|
| Target | Human Carbonic Anhydrase IV (UniProt P22748) |
| Epitope | Ala19-Lys283 |
| Cross-reactivity | CA1, CA2 (10%), mouse CA4 (10%) |
| Applications | Western blot, ELISA, immunohistochemistry |
| Host Species | Mouse |
| Clone ID | 310413 |
While CA4 itself is not directly linked to autoimmune pathologies, antibodies targeting structurally similar enzymes (e.g., AQP4 in neuromyelitis optica) highlight the importance of epitope specificity in antibody-mediated diseases .
Design Strategies: Rational antibody engineering (e.g., grafting complementary peptides into CDR3 loops) enhances target specificity, as seen in anti-amyloid antibodies .
Stability: Light chain tetramerization (e.g., 3D domain swapping) can influence antibody aggregation resistance, a factor critical for therapeutic efficacy .
ABA4 is a protein involved in the abscisic acid (ABA) biosynthesis pathway in plants. ABA is a critical plant hormone that mediates stress responses, particularly to environmental challenges such as drought, salinity, and temperature fluctuations. The ABA pathway is engineered to control the proximity of cellular proteins and regulate transcription, signal transduction, and subcellular localization in response to ABA . Understanding ABA4's function advances our knowledge of how plants respond to stressors, which has implications for agricultural research and development of stress-resistant crops.
The ABA4 antibody has been specifically validated for ELISA (Enzyme-Linked Immunosorbent Assay) and Western Blot (WB) applications . These techniques allow researchers to detect and quantify ABA4 protein in plant tissue samples. The antibody is purified using antigen affinity methods, which enhances its specificity for the target protein in these applications . When designing experiments, researchers should prioritize these validated applications rather than attempting to use the antibody in unvalidated contexts without proper controls.
Commercially available ABA4 antibodies, such as the CSB-PA157790XA01DOA product, are typically raised in rabbits using recombinant Arabidopsis thaliana ABA4 protein as the immunogen . These are polyclonal IgG antibodies that specifically react with Arabidopsis thaliana ABA4 proteins . The antibodies are usually supplied in a liquid form containing preservatives (such as 0.03% Proclin 300) and stabilizers (50% Glycerol in 0.01M PBS, pH 7.4) to maintain antibody integrity during storage and use .
For optimal preservation of antibody activity, ABA4 antibody should be stored at -20°C or -80°C immediately upon receipt . Repeated freeze-thaw cycles should be avoided as they can compromise antibody integrity and reduce binding efficiency. Aliquoting the antibody into smaller volumes before freezing is recommended if multiple experiments are planned. For short-term use (within 1-2 weeks), storage at 4°C may be acceptable, but long-term storage should always be at freezing temperatures. Proper storage is crucial for maintaining sensitivity and specificity in experimental applications.
For Western blot applications using ABA4 antibody, researchers should optimize protein extraction, separation, and detection parameters. The table below summarizes recommended conditions based on general antibody methodology and specific information for ABA4:
Optimization may be required for specific experimental systems, and appropriate positive and negative controls should always be included.
Validating antibody specificity is crucial for reliable research results. For ABA4 antibody, researchers should:
Include a positive control (Arabidopsis thaliana wild-type tissue known to express ABA4)
Include a negative control (ABA4 knockout or knockdown plant material)
Perform a peptide competition assay using the immunizing peptide to confirm signal specificity
Consider validation through orthogonal methods (e.g., mass spectrometry)
Compare results with published literature on ABA4 protein expression patterns
This multi-faceted validation approach ensures that the observed signals genuinely represent ABA4 protein rather than non-specific binding, which is especially important when investigating novel experimental systems or conditions.
Researchers can use ABA4 antibody to investigate ABA-mediated stress responses through several sophisticated approaches:
Time-course experiments: Monitor changes in ABA4 protein levels following exposure to drought, salt, or temperature stress conditions using Western blot or ELISA with the ABA4 antibody . This reveals the temporal dynamics of ABA pathway activation.
Tissue-specific expression analysis: Apply immunohistochemistry or immunofluorescence techniques (though these would require additional validation) to localize ABA4 protein in different plant tissues and cell types during stress responses.
Protein-protein interaction studies: Use ABA4 antibody for co-immunoprecipitation experiments to identify interaction partners that change under stress conditions, revealing regulatory mechanisms of the ABA pathway.
Comparative analysis across genotypes: Compare ABA4 protein levels between wild-type and mutant plants with altered stress responses to establish correlations between ABA4 function and physiological outcomes.
These approaches can provide insights into how the ABA pathway mediates plant adaptation to environmental stressors .
When researchers encounter contradictory results using ABA4 antibody across different plant species, several strategic approaches can help resolve these discrepancies:
Sequence homology analysis: Compare the ABA4 protein sequence between species to determine conservation of the epitope recognized by the antibody. Lower sequence similarity may explain reduced cross-reactivity.
Epitope mapping: Determine which specific region of the ABA4 protein the antibody recognizes, and assess whether this region is conserved in the species being studied.
Validation in each species: Perform comprehensive validation experiments in each species, including knockout controls specific to that species.
Antibody concentration optimization: Titrate the antibody concentration separately for each species to account for different binding affinities.
Alternative antibody development: Consider developing species-specific antibodies if cross-reactivity issues persist.
Similar challenges have been documented in antibody research for other proteins, where species-specific validation is essential for reliable results .
Integrating ABA4 antibody data with -omics approaches creates a comprehensive understanding of ABA pathway function:
Correlation analysis: Compare ABA4 protein levels (determined via Western blot or ELISA) with transcript levels from RNA-seq data to identify post-transcriptional regulatory mechanisms.
Pathway reconstruction: Combine protein data (ABA4 and other pathway components) with metabolomics data on ABA and precursor metabolites to reconstruct the complete biosynthetic pathway dynamics under different conditions.
Network analysis: Integrate protein, transcript, and metabolite data into regulatory network models to predict key control points in the ABA response pathway.
Multi-omics experimental design: Design experiments where samples are split for parallel antibody-based protein analysis, transcriptomics, and metabolomics, ensuring directly comparable data.
This integrated approach can reveal regulatory mechanisms not apparent when studying any single molecular level in isolation, similar to multi-omics approaches that have been productive in other research areas .
The sensitivity of ABA4 antibody-based detection methods can be compared with alternative approaches for studying the ABA pathway:
| Detection Method | Sensitivity | Advantages | Limitations |
|---|---|---|---|
| ABA4 antibody (Western blot) | ~0.1-1 ng protein | Direct protein detection, Relatively simple protocol | Cannot assess activity, Potential cross-reactivity |
| Mass spectrometry | ~10-100 pg protein | Higher specificity, Can identify modifications | Expensive equipment, Complex sample preparation |
| Reporter gene constructs | Variable | In vivo monitoring, Cell-specific resolution | Requires genetic modification, Potential artifacts |
| qRT-PCR for ABA4 transcripts | ~10-100 copies | High sensitivity, Simple workflow | Measures mRNA not protein, No post-translational information |
| ABA hormone measurement by LC-MS | ~0.1-1 ng hormone | Directly measures pathway output | Doesn't provide information on specific proteins |
Understanding these comparative sensitivities helps researchers select the most appropriate method for their specific research questions and available resources. In many cases, a combination of approaches provides the most comprehensive understanding.
When considering antibody options for ABA4 detection, researchers should understand the fundamental differences between polyclonal and monoclonal approaches:
Currently, commercially available ABA4 antibodies are primarily polyclonal , which provides good sensitivity for research applications but may have limitations for highly specific analyses.
When encountering weak or absent signals in experiments using ABA4 antibody, researchers should systematically troubleshoot using this approach:
Antibody integrity: Verify proper storage conditions and check for signs of degradation such as precipitation. Consider ordering a fresh antibody if the current stock is old or has undergone multiple freeze-thaw cycles .
Sample preparation: Ensure complete protein extraction and prevent degradation by using appropriate protease inhibitors. For plant tissues, optimize extraction buffers to account for cell wall components and secondary metabolites.
Protocol optimization:
Increase antibody concentration (try 1:500 instead of 1:1000)
Extend incubation time (overnight at 4°C instead of 1-2 hours)
Test different blocking agents (BSA vs. milk)
Adjust detergent concentration in wash buffers
Enhanced detection methods: Switch to more sensitive detection systems like enhanced chemiluminescence (ECL) or fluorescent secondary antibodies.
Protein expression verification: Confirm that ABA4 is actually expressed in your experimental conditions and tissue types. Consider using transcriptomic data as a guide.
Positive control: Include Arabidopsis thaliana wild-type samples known to express ABA4 as a positive control to verify the detection protocol is working .
This systematic approach can help identify and address the specific factors limiting antibody performance in a given experimental system.
The ABA4 antibody can be leveraged in several innovative ways to study engineered plant stress pathways:
Validation of genetic modifications: The antibody can confirm protein expression in plants where the ABA pathway has been genetically modified, validating that engineering efforts successfully altered protein levels .
Proximity studies: In engineered systems designed to control protein proximity using the ABA pathway, the antibody can help verify the localization and interaction of engineered proteins in response to ABA treatment .
Functional domain analysis: When specific domains of ABA pathway proteins are engineered (such as the interacting complementary surfaces of PYL1 and ABI1), antibodies can help track these modified proteins and confirm their expression and localization .
Quantification of pathway components: In studies where researchers modify the ABA pathway to regulate transcription, signal transduction, or protein localization, the antibody provides a tool to quantify pathway components and correlate their levels with observed phenotypes .
The ability to engineer the ABA plant stress pathway to control cellular protein proximity represents an important advance in plant synthetic biology, and antibodies provide essential tools for validating and characterizing these engineered systems .
Several emerging technologies show promise for expanding the utility of ABA4 antibody in plant research:
Single-cell proteomics: Adapting ABA4 antibody for use in single-cell proteomic techniques could reveal cell-type-specific responses to stress that are masked in whole-tissue analyses.
Proximity labeling: Combining ABA4 antibody with techniques like BioID or APEX2 proximity labeling could map the dynamic protein interaction network around ABA4 under different stress conditions.
Super-resolution microscopy: Adapting ABA4 antibody for super-resolution imaging techniques could provide insights into the subcellular localization and trafficking of ABA4 protein at nanometer resolution.
Microfluidic immunoassays: Development of microfluidic platforms for ABA4 detection could enable high-throughput analysis of multiple samples with minimal antibody consumption.
Computational antibody optimization: In silico methods for antibody design, similar to those described for other antibodies , could lead to improved versions of ABA4 antibody with enhanced specificity and affinity.
These technological advances could significantly expand our understanding of ABA4's role in plant stress responses and potentially lead to new applications in agricultural biotechnology.