In studies on apoptosis, AP24 refers to a 24 kDa serine protease with elastase-like activity activated during TNFα- or UV-induced apoptosis. This protease is implicated in DNA degradation by activating L-DNase II, an acidic endonuclease involved in chromatin cleavage . While antibodies against L-DNase II are used in research (e.g., immunocytochemistry to detect enzyme activation) , no specific antibody targeting AP24 itself has been described in the literature.
In plant biology, AP24 is a vacuolar protein in tobacco (Nicotiana tabacum) with antifungal activity against Phytophthora infestans. AP24 is synthesized as a preproprotein with a signal peptide and a carboxyl-terminal propeptide (CTPP), which directs it to vacuoles. Mutant AP24 lacking the CTPP is secreted extracellularly, retaining antifungal activity . Antibodies against AP24 are not explicitly mentioned in research, but studies focus on protein localization and function rather than antibody-mediated detection.
The term "AP24 Antibody" may arise from misattribution or typographical error. For example:
CHKV-24 IgG: A chimeric human antibody against Chikungunya virus (CHIKV), demonstrated in clinical trials to neutralize viral infection .
Anti-Domain I (aDI) Antibodies: Directed against the immunodominant Domain I of β2-glycoprotein I (β2GPI), linked to antiphospholipid syndrome (APS). These antibodies are IgG3-dominant and show stronger diagnostic specificity than anti-β2GPI whole-molecule antibodies .
No studies explicitly describe an antibody named "AP24." Researchers investigating similar terms should:
Verify Terminology: Confirm whether "AP24" refers to a protease, plant protein, or another target.
Explore Antibody-Specific Databases: Use resources like the Antibody Staining Database or clinical trial registries (e.g., NCT03829384 for mRNA-encoded antibodies) .
Review Epitope-Specific Antibodies: For APS research, focus on anti-Domain I β2GPI antibodies, which exhibit higher clinical predictive value than conventional aPL assays .
KEGG: nta:107787819
UniGene: Nta.2852
AP24 (Osmotin) is a pathogenesis-related protein found in Nicotiana tabacum (tobacco) with a molecular weight of approximately 24 kDa. It belongs to the PR-5 family of proteins and is involved in plant defense responses against pathogenic fungi and osmotic stress adaptation. Researchers study Osmotin because it demonstrates antifungal activity and plays important roles in plant immunity and stress responses. The protein structure includes amino acids 22-246 in its mature form and has the UniProt accession number P14170 . The scientific interest in this protein extends beyond plant biology as it shares structural similarities with mammalian adiponectin receptors, making it valuable for comparative studies in protein function across kingdoms.
AP24 antibodies have been validated for multiple research applications, primarily focusing on protein detection techniques. Based on the available product data, these antibodies can be reliably used for:
ELISA (Enzyme-Linked Immunosorbent Assay) - Both direct and indirect formats
Western Blotting (WB) - With recommended dilutions ranging from 1:500 to 1:5000
The specific applications depend on the conjugate version of the antibody. For instance, FITC-conjugated AP24 antibodies are especially useful for immunofluorescence studies, while HRP-conjugated versions are preferred for colorimetric detection methods in ELISA and Western blotting .
Proper storage and handling are critical for maintaining antibody activity. For AP24 antibodies:
| Storage Condition | Recommendation | Notes |
|---|---|---|
| Long-term storage | -20°C or -80°C | Avoid repeated freeze-thaw cycles |
| Working solution | 4°C (short-term) | Use within 1-2 weeks |
| Buffer composition | 50% Glycerol, 0.01M PBS, pH 7.4 | Contains 0.03% Proclin 300 as preservative |
| Handling precautions | Avoid repeated freeze-thaw | Aliquot before freezing |
The antibody is typically supplied in liquid form containing preservatives like Proclin 300, which is classified as a hazardous substance requiring proper handling by trained personnel . For optimal antibody performance, minimize exposure to room temperature, and when preparing working solutions, use sterile conditions to prevent microbial contamination that could degrade the antibody or introduce experimental artifacts .
When designing experiments with AP24 antibodies, appropriate controls are essential for result validation:
Positive control: Include protein samples known to contain AP24/Osmotin, such as Nicotiana tabacum extracts treated with osmotic stress conditions that upregulate Osmotin expression .
Negative control: Use samples from non-plant sources or plant species that do not express AP24/Osmotin homologs.
Primary antibody control: Perform parallel experiments without the primary AP24 antibody to identify non-specific binding of the secondary detection system.
Isotype control: Include a non-specific rabbit IgG at the same concentration as the AP24 antibody to identify non-specific binding resulting from the antibody isotype .
Blocking control: Test the effectiveness of different blocking agents (BSA, non-fat milk, normal serum) to optimize signal-to-noise ratio, particularly important for Western blotting applications .
PR-5 family proteins share structural similarities, which can lead to cross-reactivity challenges when using AP24 antibodies. To assess and minimize cross-reactivity:
Pre-absorption validation: Pre-incubate the AP24 antibody with purified recombinant PR-5 family proteins to determine if binding to the target is inhibited, indicating potential cross-reactivity .
Epitope mapping: Identify the specific epitope recognized by the antibody using peptide arrays or deletion mutants of AP24/Osmotin. The antibody discussed in the search results targets amino acids 22-246 of the Osmotin protein, suggesting it recognizes multiple epitopes within this region .
Western blot analysis: Compare banding patterns from samples containing various PR-5 proteins to determine specificity. True AP24/Osmotin should appear at approximately 24 kDa, while cross-reactive bands would appear at different molecular weights .
Computational analysis: Apply computational approaches similar to those described for antibody specificity inference to predict potential cross-reactivity with homologous proteins. As noted in recent research: "Our approach involves the identification of different binding modes, each associated with a particular ligand against which the antibodies are either selected or not" .
Competitive binding assays: Perform competitive ELISAs with various concentrations of purified PR-5 family proteins to quantitatively assess relative binding affinities.
Optimizing Western blotting with AP24 antibodies requires careful attention to multiple parameters:
For particularly challenging samples, consider the following advanced strategies:
Gradient gels: Use 10-20% gradient gels for better resolution of the 24 kDa target protein.
Transfer optimization: For plant samples rich in interfering compounds, use PVDF membranes and optimize transfer conditions (40-60V overnight at 4°C).
Signal enhancement: For low abundance targets, use signal enhancer solutions before primary antibody incubation or employ amplified detection systems.
Stripping and reprobing: When validating specificity, strip and reprobe membranes with different antibodies targeting the same protein .
Immunolocalization of AP24/Osmotin in plant tissues requires specific methodological considerations:
Tissue fixation: Fix plant tissues in 4% paraformaldehyde in PBS for 4-6 hours, followed by gradual dehydration to preserve protein antigenicity.
Sectioning options:
Paraffin embedding (8-10 μm sections) for light microscopy
Cryo-sectioning (10-15 μm) for better antigen preservation
LR White resin embedding for electron microscopy
Antigen retrieval: Use citrate buffer (pH 6.0) heating for paraffin sections to unmask epitopes that may be cross-linked during fixation.
Detection strategy: For FITC-conjugated AP24 antibodies, direct detection with confocal microscopy is possible. For unconjugated antibodies, use fluorophore-labeled secondary antibodies .
Dual labeling: Combine AP24 antibody labeling with other markers (e.g., cellular compartment markers) to determine precise subcellular localization.
Quantification: Apply digital image analysis to quantify signal intensity across different tissue regions or treatments.
Controls: Include peptide competition assays where the primary antibody is pre-incubated with excess target peptide (amino acids 22-246 of Osmotin) to validate signal specificity .
When facing contradictory results with different AP24 antibody preparations, systematic troubleshooting is necessary:
Epitope comparison: Different antibody preparations may recognize distinct epitopes within the Osmotin protein (amino acids 22-246). Map the specific binding regions using peptide arrays or deletion mutants .
Validation using knockout/knockdown controls: Generate or obtain Osmotin-deficient plant material through CRISPR-Cas9 or RNAi approaches to validate antibody specificity.
Cross-platform validation: If one method (e.g., Western blot) yields different results than another (e.g., ELISA), compare detection thresholds and potential interfering factors in each system.
Batch variation assessment: Perform side-by-side comparison of different antibody lots using identical samples and protocols to identify batch-to-batch variations.
Affinity determination: Measure binding kinetics of different antibody preparations using surface plasmon resonance (SPR) to quantify differences in affinity constants.
Computational modeling: Apply biophysics-informed modeling as described in recent research: "The combination of biophysics-informed modeling and extensive selection experiments holds broad applicability beyond antibodies, offering a powerful toolset for designing proteins with desired physical properties" .
AP24/Osmotin expression is regulated by various stress conditions, making AP24 antibodies valuable tools for stress response studies:
Time-course analysis: Track Osmotin accumulation during stress exposure (drought, salinity, pathogen infection) using quantitative Western blotting with AP24 antibodies at dilutions of 1:500-1:5000 .
Comparative tissue analysis: Determine tissue-specific expression patterns using immunohistochemistry with FITC-conjugated AP24 antibodies to visualize differential responses .
Subcellular localization changes: Monitor potential translocation of Osmotin during stress responses using fractionation followed by Western blotting or immunofluorescence microscopy.
Protein-protein interactions: Employ co-immunoprecipitation with AP24 antibodies to identify stress-induced interaction partners of Osmotin.
Post-translational modifications: Use AP24 antibodies in combination with modification-specific detection methods to identify stress-induced changes in Osmotin phosphorylation, glycosylation, or other modifications.
Cross-species comparison: Evaluate conservation of Osmotin expression patterns across plant species using AP24 antibodies that recognize conserved epitopes.
| Stress Condition | Typical Osmotin Induction Timeline | Recommended Detection Method |
|---|---|---|
| Osmotic stress | 12-48 hours | Western blotting (1:1000 dilution) |
| Fungal infection | 24-72 hours | ELISA and immunohistochemistry |
| Salinity | 6-24 hours | Quantitative Western blotting |
| Cold stress | 24-48 hours | Immunofluorescence with FITC-conjugated antibody |
Understanding potential sources of false results is crucial for reliable experimental outcomes:
False Positive Causes:
Cross-reactivity: AP24 antibodies may recognize structurally similar PR-5 family proteins. Validate specificity using Osmotin-deficient controls .
Non-specific binding: Insufficient blocking or inappropriate blocking agents can lead to background signals. Optimize blocking with 3-5% BSA or non-fat milk in PBS/TBS with 0.05-0.1% Tween-20 .
Secondary antibody issues: Direct binding of detection antibodies to the sample. Include controls without primary antibody.
Sample contamination: Fungal contamination of plant samples may introduce proteins that cross-react with AP24 antibodies.
False Negative Causes:
Epitope masking: Certain sample preparation methods may alter the conformation of the epitope. Test multiple fixation/extraction protocols.
Insufficient antigen: Low expression levels of Osmotin, particularly in unstressed plants. Consider concentration steps or more sensitive detection methods.
Antibody degradation: Improper storage leading to loss of activity. Store as recommended at -20°C or -80°C and avoid repeated freeze-thaw cycles .
Incompatible buffers: Components in the sample buffer may interfere with antibody binding. Test different buffer compositions.
Post-translational modifications: Modifications at or near the epitope may prevent antibody recognition. Use multiple antibodies targeting different regions of Osmotin.
ELISA optimization for AP24 antibody applications requires attention to several key parameters:
Coating conditions:
Optimize antigen concentration (typically 1-10 μg/mL) for coating
Compare coating buffers (carbonate buffer pH 9.6 vs. PBS pH 7.4)
Evaluate coating temperature and duration (4°C overnight vs. 37°C for 1-2 hours)
Blocking optimization:
Test multiple blocking agents (BSA, non-fat milk, commercial blockers)
Determine optimal blocking time (1-3 hours) and temperature
Evaluate blocking concentration (1-5%)
Antibody titration:
Standard curve generation:
Use purified recombinant Osmotin protein (amino acids 22-246) for calibration
Prepare a series of 2-fold dilutions covering the expected concentration range
Include standards on each plate to account for plate-to-plate variation
Signal optimization:
Compare different substrates for optimal sensitivity and dynamic range
Determine optimal development time by taking multiple readings
Consider using amplification systems for low-abundance targets
Data analysis:
Apply four-parameter logistic regression for standard curve fitting
Establish limits of detection and quantification
Validate reproducibility through intra- and inter-assay variation assessment
When extending AP24 antibody applications to different plant species, researchers should consider:
Sequence homology assessment: Compare the Osmotin sequence (UniProt: P14170) from Nicotiana tabacum with potential homologs in the target species. Higher sequence identity increases the likelihood of antibody cross-reactivity .
Extraction buffer optimization:
Adjust buffer composition based on species-specific interfering compounds
For species with high phenolic content, include PVPP or β-mercaptoethanol
Test different detergent concentrations for membrane-associated Osmotin homologs
Epitope conservation analysis:
Pilot western blot screening:
Run samples from multiple species alongside positive controls
Look for bands at the expected molecular weight (~24 kDa)
Verify with mass spectrometry if possible
Dilution optimization:
Specific background concerns:
Some species may have unique proteins that cross-react with AP24 antibodies
Include appropriate species-specific negative controls
Consider pre-absorption with non-target protein extracts
Adapting AP24 antibodies for high-throughput applications offers significant advantages for large-scale studies:
Microarray-based detection:
Spot protein extracts from multiple samples/treatments on nitrocellulose arrays
Probe with AP24 antibodies and fluorescent secondary antibodies
Quantify using microarray scanners for parallel analysis of hundreds of samples
Automated ELISA systems:
Implement 384-well or 1536-well plate formats for miniaturized assays
Use robotic liquid handling for consistent reagent addition and washing
Standardize with recombinant Osmotin protein calibrators
Flow cytometry applications:
Multiplexed detection platforms:
Develop bead-based assays (similar to Luminex) using AP24 antibodies
Combine with antibodies against other stress-response proteins
Enable simultaneous quantification of multiple targets
High-content imaging:
Use automated microscopy with AP24 antibody staining
Apply machine learning for image analysis
Quantify expression, localization, and morphological parameters simultaneously
Recent advances in computational antibody design could enhance these applications: "Using data from phage display experiments, we show that the model successfully disentangles these modes, even when they are associated with chemically very similar ligands" , suggesting potential for developing more specific AP24 antibody variants for high-throughput applications.
Recent technological advances offer opportunities to improve AP24 antibody performance:
Computational antibody engineering:
Biophysics-informed modeling approaches can predict antibody-antigen interactions
As described in recent research: "We demonstrate and validate experimentally the computational design of antibodies with customized specificity profiles"
This could enable development of AP24 antibodies with enhanced specificity for particular epitopes
Single-domain antibodies (nanobodies):
Smaller size allows access to hidden epitopes
Greater stability under varying conditions
Potential for developing nanobodies against specific AP24/Osmotin epitopes
Recombinant antibody technologies:
Moving beyond polyclonal antibodies to fully-defined recombinant formats
Site-specific conjugation for improved detection systems
Standardized production for reduced batch-to-batch variation
Advanced microscopy integration:
Super-resolution microscopy compatible antibody conjugates
Expansion microscopy protocols for plant tissues with AP24 antibodies
Correlative light and electron microscopy approaches
Aptamer alternatives:
Development of DNA/RNA aptamers against AP24/Osmotin
Potential for greater specificity and reproducibility
Simplified production and modification compared to antibodies
Mass cytometry applications:
Metal-conjugated AP24 antibodies for mass cytometry
Elimination of spectral overlap issues
Higher-dimensional analysis of plant cell populations
These emerging approaches could address current limitations in antibody technology: "Experimental methods for generating specific binders rely on selection, which is limited in terms of library size and control over specificity profiles. Additional control was recently demonstrated through high-throughput sequencing and downstream computational analysis" .