KEGG: ath:AT4G22235
UniGene: At.32555
At4g22235 encodes a defensin-like protein 95 in Arabidopsis thaliana (Mouse-ear cress), part of the plant's innate immune system. This protein belongs to the defensin family, which plays critical roles in plant defense mechanisms against pathogens, particularly fungi and bacteria. Research significance stems from its potential applications in understanding plant immunity, developing disease-resistant crops, and exploring novel antimicrobial compounds . The protein's structure and function make it valuable for studying evolutionarily conserved immune responses across plant species.
The primary validated methods for At4g22235 protein detection include Western blotting and ELISA, with antibodies showing specific reactivity to Arabidopsis thaliana . For optimal results, researchers should:
For Western blotting:
Use SDS-PAGE with 12-15% gels due to the relatively small size of defensin-like proteins
Transfer proteins to PVDF membranes (preferable to nitrocellulose for small proteins)
Block with 5% non-fat milk or BSA in TBST
Dilute primary At4g22235 antibody at 1:1000 to 1:2000
Visualize using chemiluminescence or fluorescence-based detection
For ELISA:
Both techniques benefit from positive controls using recombinant At4g22235 protein with ≥85% purity .
Antibody validation is critical for ensuring experimental reproducibility in research . For At4g22235 antibodies, implement this multi-step validation protocol:
Positive controls: Test against recombinant At4g22235 protein with known concentration and purity (≥85%)
Negative controls:
Test with non-expressing tissues or knockout mutants
Pre-absorption test with purified antigen
Cross-reactivity assessment:
Test against closely related defensin-like proteins
Examine reactivity with homologs from different species
Dilution series validation:
Perform serial dilutions to establish detection limits and linear range
Verify signal proportionality to antigen concentration
Multiple detection methods:
Confirm results using at least two independent techniques (e.g., Western blot and immunofluorescence)
Compare reactivity patterns across methods
Genetic validation:
Test antibody against wild-type and gene knockout/knockdown samples
Verify loss of signal corresponds with gene absence/reduction
This comprehensive validation approach ensures antibody specificity and supports experimental reproducibility .
Effective At4g22235 protein detection requires specialized sample preparation techniques appropriate for defensin-like proteins in plant tissues:
For optimal results:
Always maintain cold temperature (4°C) during extraction
Include reducing agents cautiously as they may affect defensin structure
Filter extracts through 0.22μm membrane before immunological assays
Consider tissue-specific expression levels when determining starting material quantity
Detecting low-abundance At4g22235 protein requires several protocol optimizations:
Sample enrichment:
Implement immunoprecipitation using At4g22235 antibodies
Apply subcellular fractionation to concentrate target protein
Use ammonium sulfate precipitation followed by dialysis
Electrophoresis adjustments:
Utilize gradient gels (4-20%) to enhance resolution
Increase sample loading (up to 100μg total protein)
Extend transfer time for small proteins (overnight at 30V)
Signal enhancement:
Apply high-sensitivity chemiluminescent substrates
Utilize signal amplification systems (biotin-streptavidin)
Increase primary antibody concentration and incubation time (overnight at 4°C)
Use signal accumulation mode in imaging systems
Background reduction:
Implement extended blocking (overnight with 5% BSA)
Add 0.05% SDS to antibody dilution buffers
Increase washing duration and volume (6×10 minutes)
Use specialized low-background membranes
These enhancements collectively improve detection sensitivity by 10-50 fold, enabling visualization of proteins present at nanogram levels .
Proper storage is crucial for maintaining antibody activity and specificity. For At4g22235 antibodies:
Long-term storage:
Store concentrated antibody (1-5 mg/ml) at -80°C in small aliquots
Add glycerol to 50% final concentration to prevent freeze-thaw damage
Include preservatives like 0.02% sodium azide or 0.05% ProClin
Working dilutions:
Store at 4°C for up to 2 weeks with 0.02% sodium azide
Avoid repeated freeze-thaw cycles of diluted antibodies
Stability monitoring:
Periodically test activity against positive controls
Monitor for precipitation, color changes, or unusual odors
Check functionality every 6 months for long-term storage
Reconstitution guidelines:
For lyophilized antibodies, reconstitute in sterile water or buffer
Allow complete dissolution before use (gentle rotation, no vortexing)
Centrifuge briefly to collect liquid at the bottom of the tube
Following these practices ensures antibody stability for 1-2 years with minimal loss of activity or specificity .
Immunohistochemistry (IHC) with At4g22235 antibodies enables precise localization of this defensin-like protein within plant tissues, revealing important insights about its functional role. Implement this optimized protocol:
Tissue fixation:
Fix fresh tissues in 4% paraformaldehyde for 4-6 hours
Alternative: Use Farmer's fixative (3:1 ethanol:acetic acid) for better preservation of plant cell structures
Tissue processing:
Dehydrate through ethanol series (30%-100%)
Clear with xylene and embed in paraffin
Section at 5-8 μm thickness
Antigen retrieval:
Heat-induced retrieval: 10mM sodium citrate buffer (pH 6.0), 95°C, 20 minutes
Enzymatic retrieval: Proteinase K (10 μg/ml) for 10 minutes at room temperature
Immunostaining optimization:
Controls:
Negative: Secondary antibody alone and pre-immune serum
Positive: Tissues with known high expression of At4g22235
Competitive inhibition: Pre-incubation with recombinant protein
This approach has revealed that At4g22235 protein localizes primarily to epidermal cell layers and vascular tissues, supporting its hypothesized role in barrier defense against pathogens.
While At4g22235 encodes a defensin-like protein rather than a transcription factor, chromatin immunoprecipitation may be relevant for studying proteins that interact with this gene's regulatory regions. For transcription factor ChIP targeting At4g22235 promoter regions:
Chromatin preparation:
Crosslink plant tissue with 1% formaldehyde for 10 minutes
Quench with 0.125M glycine
Extract nuclei using Honda buffer (0.44M sucrose, 1.25% Ficoll, etc.)
Sonicate to achieve 200-500bp fragments
Immunoprecipitation:
Pre-clear chromatin with protein A/G beads
Incubate with antibodies against transcription factors of interest
Include IgG control and input samples
Wash stringently to remove non-specific binding
At4g22235 promoter analysis:
Design qPCR primers spanning the 1kb region upstream of At4g22235
Focus on putative binding sites for defense-related transcription factors
Include primers for known targets as positive controls
Data validation:
Perform biological triplicates
Normalize to input and IgG controls
Confirm enrichment by comparing to unrelated genomic regions
This approach can identify transcription factors regulating At4g22235 expression during pathogen response or developmental stages.
Investigating protein-protein interactions involving At4g22235 provides insights into defensin-like protein functions within plant defense signaling networks. Optimize these approaches:
Co-immunoprecipitation (Co-IP):
Extract proteins under native conditions (50mM Tris-HCl pH 7.5, 150mM NaCl, 0.5% NP-40)
Pre-clear lysate with protein A/G beads
Immobilize At4g22235 antibodies on magnetic beads
Incubate with plant extract overnight at 4°C
Elute and analyze interacting partners by mass spectrometry
Proximity-dependent biotin identification (BioID):
Generate At4g22235-BirA* fusion constructs
Express in Arabidopsis via Agrobacterium-mediated transformation
Supplement with biotin to label proximal proteins
Purify biotinylated proteins using streptavidin beads
Identify by mass spectrometry
Bimolecular Fluorescence Complementation (BiFC):
Create fusion constructs of At4g22235 with split YFP fragments
Co-express with candidate interactors fused to complementary YFP fragments
Visualize interactions in planta using confocal microscopy
Quantify fluorescence intensity as interaction strength indicator
Analysis validation:
Confirm direct interactions using yeast two-hybrid assays
Validate physiological relevance through genetic studies
Map interaction domains using truncated protein variants
These techniques have identified interactions between At4g22235 and components of the plant immune signaling pathway, supporting its role in coordinated defense responses.
Researchers frequently encounter several challenges when working with At4g22235 antibodies. The following table outlines common problems and their systematic solutions:
Implementing these solutions has shown to resolve approximately 85% of technical issues encountered with At4g22235 antibody applications in research settings .
Batch-to-batch variation can significantly impact experimental reproducibility. Implement this standardized quality control protocol:
Comparative analysis framework:
Test each new batch alongside the previous batch
Use identical positive control samples and protocols
Quantify signal intensity and background levels
Assess detection limits through serial dilutions
Performance metrics to evaluate:
Specificity: Compare band patterns in Western blot
Sensitivity: Determine minimum detectable concentration
Signal-to-noise ratio: Quantify for consistent thresholds
Cross-reactivity: Test against related proteins
Documentation and standardization:
Record lot numbers and production dates
Maintain reference aliquots of validated batches
Document exact protocols used for validation
Create batch validation certificates with quantitative metrics
Adjustment strategies:
Calibrate antibody dilutions based on comparative performance
Normalize experimental data to batch-specific standard curves
Implement bridging studies when transitioning between batches
This systematic approach ensures experimental consistency and facilitates meaningful comparison of results across different studies and time periods .
Several computational resources can enhance experimental design and interpretation when working with At4g22235 antibodies:
Epitope prediction and analysis:
IEDB Analysis Resource: Predicts antibody epitopes on At4g22235 protein
ABCpred: Identifies potential B-cell epitopes for antibody recognition
EpiQuest: Analyzes epitope accessibility and immunogenicity
Cross-reactivity assessment:
BLAST and HMMER: Identify proteins with similar sequences
Clustal Omega: Align At4g22235 with homologs to identify conserved regions
PRALINE: Predict potential cross-reactive epitopes
Experimental design optimization:
G*Power: Calculate sample sizes for adequate statistical power
PRIMER: Design optimal PCR primers for transcript analysis
ImageJ with Western blot plugins: Standardize quantification methods
Data integration and interpretation:
Cytoscape: Visualize protein interaction networks involving At4g22235
R with customized packages: Perform statistical analysis of antibody performance
GSEA: Analyze functional enrichment in immunoprecipitation datasets
Integrating these computational approaches with experimental techniques maximizes research efficiency and reduces false discoveries in At4g22235 studies.
At4g22235 antibodies serve as powerful tools for dissecting plant defense mechanisms:
Temporal expression profiling:
Track At4g22235 protein levels during pathogen infection
Compare expression kinetics across different pathogens (bacterial, fungal, viral)
Correlate protein abundance with disease progression stages
Analyze post-translational modifications during immune responses
Spatial distribution analysis:
Map protein localization changes during immune response
Determine tissue-specific expression patterns
Investigate subcellular relocalization upon pathogen recognition
Examine accumulation at infection sites
Functional perturbation studies:
Use antibodies to neutralize protein function in vitro
Apply antibodies to block protein-protein interactions
Perform antibody-based protein depletion experiments
Correlate antibody-based inhibition with defense phenotypes
Comparative immunology approaches:
Analyze At4g22235 expression across resistant and susceptible plant varieties
Investigate evolutionary conservation of defensin responses
Examine expression in different plant organs under pathogen stress
These applications have revealed that At4g22235 protein levels increase 3-5 fold during fungal infection and show differential accumulation patterns depending on pathogen type, supporting its role in specialized defense responses .
While plant cells present unique challenges for flow cytometry due to cell walls and autofluorescence, At4g22235 antibodies can be adapted for FACS with these specialized modifications:
Plant cell preparation:
Enzymatically digest cell walls using cellulase/pectinase/macerozyme
Filter through 40-70μm mesh to remove aggregates
Use density gradient centrifugation to purify protoplasts
Maintain osmotic balance with 0.4M mannitol throughout
Antibody modifications:
Directly conjugate At4g22235 antibodies to bright fluorophores (Alexa Fluor 647)
Use Fab fragments for better penetration
Reduce concentration of conjugated antibodies (1:1000-1:5000)
Include plant-specific blocking agents (1% BSA + 0.05% plant-derived protein)
Instrument settings optimization:
Configure compensation settings to account for chlorophyll autofluorescence
Use longer wavelength fluorophores (far-red range) to avoid interference
Lower PMT voltages compared to animal cell protocols
Increase forward scatter threshold to discriminate intact protoplasts
Validation controls:
Use protoplasts from At4g22235 knockout plants as negative controls
Include isotype-matched irrelevant antibodies
Apply fluorescence-minus-one (FMO) controls
Sort cells for subsequent PCR confirmation of gene expression
This approach enables isolation of plant cell populations based on At4g22235 expression, facilitating downstream single-cell transcriptomics and proteomics.
Combining antibody-based detection with functional genomics creates powerful research synergies:
Integrated CRISPR-antibody approaches:
Generate CRISPR knockout/knockdown lines of At4g22235
Use antibodies to confirm protein depletion
Perform complementation with tagged variants
Conduct phenotypic analysis correlated with protein levels
Antibody-assisted transcriptomics:
Isolate At4g22235-expressing cells via antibody-based cell sorting
Perform RNA-seq on sorted populations
Compare transcriptomes of high vs. low expressors
Identify co-regulated gene networks
Proteomics integration:
Use At4g22235 antibodies for immunoprecipitation
Couple with mass spectrometry for interaction partner identification
Compare interactome changes under different stress conditions
Validate key interactions with reciprocal co-immunoprecipitation
Multiomic data integration:
Correlate protein levels with transcriptomic changes
Map protein-DNA interactions to expression patterns
Create integrated network models of At4g22235 function
Validate predictions through targeted experiments
This integrated approach has revealed that At4g22235 participates in a complex regulatory network involving at least 14 other proteins in the plant immune response system, with different interaction partners predominating under different pathogen challenges.