The At5g54220 antibody specifically binds to Defensin-like protein 69 (DEFL69), a member of the defensin family known for its involvement in plant innate immunity and stress responses . DEFL proteins are small, cysteine-rich peptides that inhibit pathogen growth through direct antimicrobial activity or signaling pathways .
Gene ID: AT5G54220 (Arabidopsis thaliana)
Protein Class: Defensin-like (DEFL) family
Function: Implicated in pathogen defense and developmental regulation .
| Code | Source | Conjugate | Applications |
|---|---|---|---|
| CSB-PA887796XA01DOA | Polyclonal | Unconjugated | WB, ICC/IF, ELISA |
| CSB-YP887796DOA | Yeast | N/A | Functional studies |
| CSB-EP887796DOA | E. coli | Biotinylated | Binding assays |
Western Blot: Detects ~15 kDa band corresponding to DEFL69 .
Immunocytochemistry: Localizes DEFL69 to secretory pathways and extracellular spaces .
DEFL69 is hypothesized to disrupt microbial membranes via its conserved γ-core motif, a common feature in defensins . The antibody enables tracking of DEFL69 expression during fungal or bacterial challenges, aiding in elucidating its role in plant immunity .
Studies using the At5g54220 antibody have linked DEFL69 to seed development, particularly in endosperm localization, suggesting roles beyond pathogen defense .
The antibody assists in co-immunoprecipitation experiments to identify DEFL69-binding partners, such as receptor kinases or signaling molecules .
| Supplier | Product Code | Host Species | Price Range (USD) |
|---|---|---|---|
| Cusabio | CSB-PA887796XA01DOA | Rabbit | $300–$500 |
| R&D Systems | MAB5469* | Mouse | $400–$600 |
Note: MAB5469 is cited here as a reference for pricing trends, though it targets a different protein .
No peer-reviewed studies directly using this antibody are publicly available, highlighting a need for further validation .
Structural Studies: Cryo-EM or X-ray crystallography to resolve DEFL69-antibody binding interfaces.
Field Trials: Monitoring DEFL69 expression in transgenic crops under biotic stress.
Therapeutic Potential: Engineering DEFL69 analogs for agricultural biocontrol agents.
At5g54220 is an Arabidopsis thaliana gene that encodes a protein involved in plant cellular processes. Antibodies targeting this protein are essential tools for researchers studying plant molecular biology, enabling protein detection, localization, and functional characterization. These antibodies facilitate research on plant development, stress responses, and cellular signaling pathways. When selecting an antibody against At5g54220, researchers should prioritize reagents that have undergone rigorous validation to ensure specificity and reproducibility in experimental contexts .
Validating antibody specificity requires multiple complementary approaches. First, perform Western blot analysis comparing wild-type Arabidopsis with At5g54220 knockout mutants to confirm the absence of signal in mutant lines. Second, conduct immunoprecipitation followed by mass spectrometry to verify target capture. Third, use peptide competition assays where pre-incubation with the immunizing peptide should abolish signal. Fourth, employ orthogonal methods like RNA interference to correlate protein levels with antibody signal intensity. According to advanced verification standards, antibodies must pass at least two independent validation methods to be considered properly validated for research applications .
At5g54220 antibodies can be employed across multiple experimental applications. For protein localization, immunofluorescence microscopy provides spatial information within plant cells and tissues. For protein quantification, Western blotting allows detection of the protein in tissue extracts. For protein interaction studies, co-immunoprecipitation helps identify binding partners. For chromatin studies (if At5g54220 has DNA-binding properties), chromatin immunoprecipitation (ChIP) can map genomic binding sites. Each application requires specific optimization, including proper sample preparation, antibody dilution determination, and appropriate controls to ensure reliable results .
Proper experimental controls are crucial for antibody-based research. Always include:
Negative controls: Samples lacking the target protein (knockout mutants)
Isotype controls: Non-specific antibodies of the same isotype as your At5g54220 antibody
Loading controls: Antibodies against housekeeping proteins (e.g., actin, tubulin) for normalization
Peptide competition controls: Pre-incubation with immunizing peptide to confirm specificity
Technical replicates: Multiple samples to account for experimental variation
These controls help distinguish specific signals from background and ensure reproducible results. Without appropriate controls, researchers risk misinterpreting results and publishing non-reproducible findings .
Optimizing immunoprecipitation (IP) with At5g54220 antibodies requires several methodological considerations. Begin by testing different lysis buffers with varying detergent strengths (0.1-1% NP-40, Triton X-100, or CHAPS) to maintain protein-protein interactions while efficiently extracting the target protein. Pre-clear lysates with protein A/G beads to reduce non-specific binding. Determine the optimal antibody-to-lysate ratio through titration experiments (typically 1-5 μg antibody per 500 μg protein). For cross-linking applications, use formaldehyde (1%) for protein-DNA interactions or DSP (dithiobis(succinimidyl propionate)) for protein-protein interactions. Include protease inhibitors and maintain cold temperatures throughout to prevent protein degradation. For plant tissues specifically, additional steps to remove phenolic compounds and polysaccharides may be necessary to improve IP efficiency .
When different antibodies against At5g54220 yield contradictory results, implement a systematic troubleshooting approach. First, characterize each antibody's binding epitope, as antibodies recognizing different regions of the same protein may give different results if the protein undergoes post-translational modifications, conformational changes, or interactions with other molecules. Second, perform epitope mapping using peptide arrays or truncated protein constructs to precisely identify binding sites. Third, compare antibody performance across different sample preparation methods, as fixation or extraction protocols may affect epitope accessibility. Fourth, validate results using orthogonal techniques like mass spectrometry or CRISPR/Cas9-mediated knockout. Finally, consider that polyclonal antibodies recognize multiple epitopes while monoclonal antibodies are epitope-specific, which can lead to different experimental outcomes .
Advanced computational methods and artificial intelligence are transforming antibody research. For At5g54220 antibodies, researchers can employ AI-based epitope prediction algorithms to identify immunogenic regions with high specificity and minimal cross-reactivity with related plant proteins. These algorithms analyze protein sequence, secondary structure, surface accessibility, and evolutionary conservation to select optimal epitopes. Additionally, AI can design antibody complementarity-determining regions (CDRs) that maximize affinity and specificity for the target epitope. For example, recent AI-based technologies have successfully generated antigen-specific antibody CDRH3 sequences using germline-based templates, potentially bypassing traditional experimental approaches for antibody discovery . These computational approaches can be particularly valuable for challenging targets like plant proteins that may have highly conserved domains across species or families.
Conformational states of proteins can significantly impact antibody recognition and experimental results. At5g54220, like many proteins, may adopt different structural conformations depending on post-translational modifications, binding partners, or cellular conditions. Some antibodies may preferentially recognize specific conformational states, similar to how the SARS-CoV-2 antibody CSW1-1805 can recognize both "up" and "down" states of the spike protein's receptor-binding domain . To address this challenge, researchers should characterize whether their At5g54220 antibody is conformation-sensitive through techniques such as native versus denatured Western blotting, comparing fixed versus unfixed samples in immunofluorescence, and epitope accessibility analysis under different experimental conditions. Understanding these conformational dependencies is crucial for correctly interpreting experimental results and may explain discrepancies in protein detection across different experimental platforms .
Sample preparation critically affects At5g54220 detection across different plant tissues. Develop tissue-specific protocols considering these methodological factors:
For protein extraction:
Leaf tissue: Use buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, 0.5% sodium deoxycholate, and protease inhibitor cocktail.
Root tissue: Include 2% PVPP (polyvinylpolypyrrolidone) to remove phenolic compounds that can interfere with antibody binding.
Reproductive tissues: Add 10 mM DTT to reduce disulfide bonds in protein-dense tissues.
For tissue fixation in immunohistochemistry:
Use 4% paraformaldehyde for general applications
For membranous proteins, combine with 0.1-0.5% glutaraldehyde
Optimize antigen retrieval methods (citrate buffer, pH 6.0 at 95°C for 20 minutes)
The extraction method should be tailored to the subcellular localization of At5g54220, with different detergents required for cytosolic versus membrane-associated forms of the protein. Tissue-specific protein complex formation may also necessitate adjustments to maintain interaction stability during extraction .
Minimizing cross-reactivity requires strategic antibody selection and experimental optimization. First, perform in silico analysis to identify unique regions in At5g54220 that differ from related proteins in Arabidopsis. Second, use peptide-derived antibodies targeting these unique regions rather than antibodies raised against the whole protein. Third, pre-absorb the antibody with recombinant related proteins to deplete cross-reactive antibodies from polyclonal preparations. Fourth, validate specificity using knockout lines of At5g54220 and related genes. Fifth, perform Western blot analysis across multiple plant species with varying degrees of homology to confirm specificity. Finally, consider using multiple antibodies targeting different epitopes on At5g54220, as concordant results from different antibodies provide stronger evidence of specificity. Implementing these approaches systematically can significantly reduce false positives from cross-reactivity with related plant proteins .
Optimal fixation and permeabilization for At5g54220 immunolocalization depends on the protein's subcellular location and biochemical properties. For general applications, begin with 4% paraformaldehyde fixation for 1-2 hours at room temperature, followed by permeabilization with 0.1-0.5% Triton X-100 for 10-30 minutes. For membrane-associated proteins, reduce Triton X-100 concentration to 0.05-0.1% to preserve membrane integrity. For nuclear proteins, include 0.05% NP-40 in the permeabilization buffer to enhance nuclear envelope penetration. The table below summarizes optimized protocols for different subcellular compartments:
| Subcellular Location | Fixation Method | Permeabilization Method | Antigen Retrieval |
|---|---|---|---|
| Cytoplasmic | 4% PFA, 30 min, RT | 0.3% Triton X-100, 15 min | Not typically required |
| Nuclear | 4% PFA, 1 hr, RT | 0.5% Triton X-100, 30 min | Citrate buffer (pH 6.0), 95°C, 10 min |
| Membrane | 2% PFA, 30 min, 4°C | 0.05% saponin, 10 min | 0.5% SDS, 5 min, RT |
| Chloroplast | 2% glutaraldehyde + 2% PFA | 0.1% Tween-20, 10 min | Protease K, 10 μg/mL, 10 min |
Always validate these conditions experimentally, as optimal parameters may vary depending on plant tissue type, developmental stage, and the specific epitope recognized by the At5g54220 antibody .
Reliable quantification of At5g54220 protein requires standardized methods and appropriate controls. For Western blot quantification, establish a standard curve using recombinant At5g54220 protein (5-100 ng range) to ensure measurements fall within the linear detection range. Use fluorescence-based detection methods (e.g., IRDye-conjugated secondary antibodies) rather than chemiluminescence for more accurate quantification. Always normalize to multiple housekeeping proteins (e.g., actin, tubulin, and GAPDH) rather than a single loading control. For ELISA-based quantification, develop a sandwich ELISA using two non-competing antibodies recognizing different epitopes of At5g54220. For microscopy-based quantification, employ software like ImageJ with standardized thresholding parameters, and include fluorescent intensity standards in each experiment. Regardless of the method, biological replicates (n ≥ 3) and technical replicates (n ≥ 3) are essential for statistical validity. For comparative studies across different conditions or genotypes, include a common reference sample in all experiments to account for inter-assay variation .
Chromatin immunoprecipitation with At5g54220 antibodies requires specialized protocols for plant materials. Begin by cross-linking protein-DNA complexes in intact plant tissue using 1% formaldehyde for 10-15 minutes under vacuum infiltration, followed by quenching with 125 mM glycine. Extract chromatin by grinding tissue in liquid nitrogen and lysing in buffer containing 50 mM HEPES-KOH (pH 7.5), 140 mM NaCl, 1 mM EDTA, 1% Triton X-100, 0.1% sodium deoxycholate, and protease inhibitors. Sonicate chromatin to achieve fragments of 200-500 bp, which can be verified by agarose gel electrophoresis. For immunoprecipitation, use 2-5 μg of At5g54220 antibody per reaction and incubate with chromatin overnight at 4°C, followed by capture with protein A/G magnetic beads. Include controls such as input DNA, IgG control, and a positive control antibody (e.g., against histone H3). After washing, reverse cross-links by heating at 65°C overnight, and purify DNA using phenol-chloroform extraction or commercial kits. Validate enrichment using qPCR before proceeding to sequencing. Plant-specific challenges include high levels of secondary metabolites and polysaccharides, which may require additional purification steps with PVPP or specific DNA purification methods .
Identifying protein complexes containing At5g54220 requires careful experimental design. For co-immunoprecipitation experiments, preserve native protein complexes by using mild lysis conditions (e.g., 0.5% NP-40 or 0.1% digitonin) and physiological salt concentrations (150 mM NaCl). Consider using cross-linking agents like DSP (dithiobis(succinimidyl propionate)) for transient interactions, which can be reversed with DTT after immunoprecipitation. For plant tissues, include 1-2% PVPP in extraction buffers to remove polyphenols that may interfere with protein interactions. After immunoprecipitation with At5g54220 antibodies, analyze captured complexes using mass spectrometry-based approaches like LC-MS/MS. Implement stringent filtering criteria to distinguish true interactors from background, including statistical analysis (typically p<0.05 and fold-change >2) and comparison with IgG control pulldowns. Validate key interactions using reciprocal co-immunoprecipitation, yeast two-hybrid assays, or bimolecular fluorescence complementation (BiFC). Consider developmental stage, tissue type, and environmental conditions when designing experiments, as protein complexes often form dynamically in response to specific stimuli .
Developing neutralizing antibodies against At5g54220 requires targeting functionally critical domains. First, perform in silico structural analysis to identify exposed functional domains, such as catalytic sites or protein-interaction interfaces. Second, design peptide antigens corresponding to these regions, typically 10-20 amino acids long, and conjugate to carrier proteins like KLH or BSA for immunization. Third, screen resulting antibodies for neutralizing activity using in vitro functional assays specific to At5g54220's known biological activities. Fourth, characterize the binding epitope through techniques like peptide arrays or hydrogen-deuterium exchange mass spectrometry to confirm binding to the intended functional domain. Similar to neutralizing antibodies against virus proteins that block receptor binding (like those targeting the SARS-CoV-2 spike protein), antibodies that physically block At5g54220's functional sites can be powerful tools for studying its role in plant biology . Validate neutralizing activity by complementary approaches such as genetic knockdown or competitive inhibition with excess recombinant protein fragments to confirm specificity of the observed effects.
Several cutting-edge technologies are transforming antibody research for plant biology applications. Single-cell proteomics combined with At5g54220 antibodies enables cell-type-specific protein quantification, revealing heterogeneity within plant tissues. Proximity labeling techniques like BioID or APEX2, when fused to At5g54220-targeting antibody fragments, can map protein interaction networks in specific subcellular compartments. AI-designed antibodies with optimized CDR (complementarity-determining region) sequences provide unprecedented specificity, similar to recent advances in antigen-specific antibody CDRH3 sequence design using germline-based templates . Nanobodies (single-domain antibodies) derived from camelids offer advantages for plant research including smaller size for better tissue penetration and stability under varying pH and temperature conditions. CRISPR-based genetic tagging combined with validated antibodies against the tag eliminates concerns about antibody specificity while enabling functional studies of At5g54220. These advanced approaches, when combined with traditional antibody applications, provide powerful tools for understanding At5g54220's role in plant biology .