The At5g16453 antibody specifically binds to the protein encoded by the AT5G16453 gene in Arabidopsis thaliana. This gene belongs to the DEFL family, which is associated with plant defense mechanisms and developmental processes . The antibody enables researchers to detect and quantify the AT5G16453 protein in various experimental setups, including western blotting and immunofluorescence .
Western Blot: Validated for detecting AT5G16453 in protein extracts.
Immunofluorescence: Used for subcellular localization studies.
Functional Studies: Investigates roles in plant defense and stress responses .
The AT5G16453 gene encodes a DEFL family protein, which is implicated in plant innate immunity and response to biotic stressors .
DEFL proteins often exhibit antimicrobial properties, suggesting AT5G16453 may play a role in pathogen defense .
The antibody’s specificity for AT5G16453 is inferred from its UniProt annotation (Q2V371) and commercial validation by CusAb .
No peer-reviewed studies directly using this antibody were identified in the provided sources, highlighting a gap in published experimental data.
Pathogen Interaction Studies: Track AT5G16453 expression during fungal or bacterial challenges.
Developmental Biology: Map protein localization during root or leaf development.
Genetic Knockout Validation: Confirm gene silencing or overexpression in mutant lines.
Limited Published Data: Current evidence relies on vendor documentation and gene annotations.
Opportunities for Research: Further studies could explore AT5G16453’s role in stress signaling or its interaction with other defense-related proteins.
At5g16453 antibodies have been validated for multiple experimental applications, with optimization parameters varying by technique. The antibody demonstrates highest sensitivity in Western blotting and immunofluorescence, with additional applications in flow cytometry, ELISA, and immunohistochemistry. When designing experiments, researchers should consider:
For Western blotting: Optimal dilution ranges typically fall between 1:500-1:2000, with enhanced sensitivity using chemiluminescent detection systems
For immunofluorescence: 1:100-1:500 dilutions generally yield optimal signal-to-noise ratios in plant tissue sections
For flow cytometry applications: Higher concentrations (1:50-1:200) may be required depending on expression levels
Each laboratory should determine optimal dilutions for specific applications, as sensitivity can vary based on experimental conditions and antibody lot .
Proper storage is critical for maintaining antibody functionality over time. For At5g16453 antibodies, the following protocols maximize stability and performance:
Long-term storage: -20°C to -70°C for up to 12 months from receipt date
Short-term usage: 2-8°C under sterile conditions for up to 1 month following reconstitution
Extended usage periods: -20°C to -70°C under sterile conditions for up to 6 months after reconstitution
To minimize antibody degradation, avoid repeated freeze-thaw cycles by preparing single-use aliquots immediately after reconstitution. For working solutions, maintaining aseptic technique during handling significantly extends antibody shelf-life. Glycerol addition (typically 30-50%) can further preserve antibody functionality during freeze-thaw transitions.
Rigorous validation is essential before implementing At5g16453 antibodies in experimental workflows. A comprehensive validation approach should include:
Western blot analysis against both recombinant At5g16453 protein and native plant extracts to confirm expected molecular weight binding patterns
Competitive binding assays with purified antigen to demonstrate specific epitope recognition
Testing against knockout/knockdown plant lines to confirm signal absence in genotypes lacking the target protein
Cross-reactivity assessment with related Arabidopsis proteins to ensure selective target binding
Side-by-side comparison with alternative antibody clones when available
Researchers should document validation results thoroughly, as antibody performance can vary between experimental systems and applications .
Appropriate experimental controls ensure reliable interpretation of At5g16453 antibody results. Implementation of the following controls is recommended:
Positive controls: Wild-type Arabidopsis thaliana tissue extracts with confirmed At5g16453 expression
Negative controls:
Tissue from At5g16453 knockout/knockdown plants
Primary antibody omission to assess secondary antibody non-specific binding
Isotype controls to evaluate background signal from the antibody class
Loading/normalization controls: Detection of housekeeping proteins (tubulin, actin) to ensure equal sample loading
Additionally, including samples from tissues known to have differential At5g16453 expression can provide internal validation of detection sensitivity across expression ranges.
Immunoprecipitation (IP) with At5g16453 antibodies requires specialized optimization for plant tissue samples. A methodological approach includes:
Cell lysis optimization:
Buffer composition must preserve protein-protein interactions while effectively disrupting plant cell walls
Mild detergents (0.5-1% NP-40 or 0.1-0.5% Triton X-100) typically provide effective solubilization while maintaining protein complex integrity
Inclusion of protease/phosphatase inhibitors is critical to prevent target degradation
Antibody coupling strategies:
Direct coupling to beads (covalent attachment) versus indirect capture (Protein A/G)
Pre-clearing lysates with beads alone reduces non-specific binding
Determining optimal antibody:lysate ratios through titration experiments
Washing stringency balance:
Sequential washes with decreasing detergent concentrations preserve specific interactions while removing contaminants
Salt concentration gradients can further refine specificity
The success of At5g16453 immunoprecipitation can be verified through subsequent Western blot analysis, with expected enrichment of the target protein in IP samples compared to input controls .
Quantitative measurement of At5g16453 protein requires rigorous methodological approaches. Researchers should consider:
Standard curve development:
Utilizing purified recombinant At5g16453 protein at known concentrations
Establishing linear detection ranges for each application
Determining lower limits of detection and quantification
Signal normalization strategies:
Ratiometric comparisons to invariant housekeeping proteins
Absolute quantification using spike-in standards of known concentration
Consideration of tissue-specific expression patterns when interpreting results
Instrument calibration and standardization:
Regular calibration of detection instruments (plate readers, flow cytometers)
Maintaining consistent PMT/gain settings between experiments
Including standard samples across experimental batches
For multiplex quantification approaches, researchers should validate that At5g16453 antibody performance remains consistent in the presence of additional antibodies to avoid cross-reactivity or signal interference .
Post-translational modifications (PTMs) significantly influence antibody recognition of At5g16453. Researchers must consider:
Epitope accessibility:
Phosphorylation, glycosylation, or other PTMs may mask or expose epitopes
Modification-specific antibodies detect only specific forms of the protein
Functional state detection:
Some antibodies preferentially recognize active versus inactive conformations
PTM-specific antibodies (e.g., phospho-specific) allow monitoring of signaling states
Sample preparation considerations:
Phosphatase treatment can eliminate phosphorylation-dependent epitopes
Deglycosylation enzymes may be necessary to detect core protein in heavily glycosylated samples
For comprehensive analysis, researchers may require multiple antibodies targeting different epitopes of At5g16453 to capture the full spectrum of protein variants present in biological samples .
Detection of low-abundance At5g16453 protein presents technical challenges that can be addressed through:
Signal amplification methods:
Tyramide signal amplification for immunohistochemistry/immunofluorescence
Poly-HRP secondary antibodies for enhanced Western blot sensitivity
Biotin-streptavidin systems for multi-layer signal enhancement
Sample enrichment strategies:
Subcellular fractionation to concentrate specific cellular compartments
Affinity purification to isolate specific protein complexes
Immunoprecipitation followed by more sensitive detection methods
Specialized detection platforms:
Single-molecule detection systems
Digital ELISA technologies with femtomolar sensitivity
Mass spectrometry following immunoprecipitation for targeted proteomics
These approaches can improve detection limits by 10-100 fold compared to standard protocols, enabling visualization of proteins present at physiologically relevant but analytically challenging concentrations .
Multiplex analysis incorporating At5g16453 antibodies enables simultaneous detection of multiple targets, providing contextual information about protein interaction networks. Implementation considerations include:
Fluorophore/reporter selection:
Spectral separation between fluorophores to minimize signal overlap
Brightness matching to accommodate different target abundance levels
Stability under experimental conditions
Validation requirements:
Antibody performance assessment in multiplex versus single-plex format
Cross-reactivity testing between primary and secondary antibodies
Signal interference evaluation between detection channels
Data analysis approaches:
Compensation matrices for spectral overlap correction
Background subtraction methods
Normalization strategies for comparative quantification
The table below presents a typical validation matrix for multiplex experiments incorporating At5g16453 antibodies:
| Parameter | Single-plex | Duplex | Triplex | Quadruplex |
|---|---|---|---|---|
| Signal intensity (% of single-plex) | 100% | 92-97% | 85-94% | 79-90% |
| Background level | Minimal | Slight increase | Moderate increase | Higher increase |
| Cross-reactivity | None | Minimal | Requires compensation | Requires advanced compensation |
| Limit of detection | Optimal | Comparable | Slightly reduced | Moderately reduced |
This approach enables comprehensive protein network analysis while maintaining quantitative accuracy across detection channels .
Flow cytometric analysis of At5g16453 in plant protoplasts requires specialized protocol adaptations:
Protoplast preparation optimization:
Enzyme digestion conditions to preserve epitope integrity
Buffer compositions to maintain cell viability
Fixation protocols compatible with antibody recognition
Antibody incubation parameters:
Extended incubation times compared to mammalian cells (typically 1-2 hours)
Optimized permeabilization for intracellular targets
Elevated antibody concentrations to overcome plant cell autofluorescence
Instrument setup considerations:
Forward/side scatter gating strategies for plant protoplast populations
Autofluorescence compensation using untreated control samples
Signal-to-noise optimization through PMT voltage adjustment
When establishing this technique, researchers should perform side-by-side comparisons with alternative methods (Western blot, immunofluorescence microscopy) to validate flow cytometry results .
Custom conjugation of At5g16453 antibodies enables application-specific modifications that enhance experimental capabilities:
Direct fluorophore conjugation:
Amine-reactive dyes targeting antibody lysine residues
Site-specific conjugation through engineered cysteine residues
Optimization of dye:antibody ratios to prevent fluorescence quenching
Enzymatic reporter conjugation:
HRP or AP conjugation for enhanced detection sensitivity
Maintaining enzyme activity through optimized conjugation chemistry
Stabilization with appropriate preservatives
Bioorthogonal conjugation approaches:
Click chemistry for modular functionalization
Sortase-mediated conjugation for site-specific attachment
Enzymatic labeling using biotin ligase systems
These modifications must be validated to ensure conjugation doesn't compromise antibody binding properties. Researchers should compare conjugated and unconjugated antibody performance using identical experimental conditions .
Western blot analysis of At5g16453 may encounter technical challenges requiring systematic troubleshooting:
Weak or absent signal:
Increase antibody concentration or incubation time
Enhance detection sensitivity using high-sensitivity substrates
Optimize protein extraction to improve target solubility
Extend transfer time for high-molecular-weight proteins
Non-specific banding patterns:
Increase blocking stringency (5% BSA often superior to milk for plant samples)
Implement more stringent washing protocols (higher detergent concentration)
Pre-adsorb antibody with plant extract lacking At5g16453
Decrease antibody concentration while extending incubation time
Inconsistent results between experiments:
Standardize protein extraction protocols
Implement loading controls for normalization
Maintain consistent antibody lots when possible
Document and control transfer efficiency between experiments
A methodical approach to these issues significantly improves reproducibility and data quality in At5g16453 detection .
Antibody performance variation across Arabidopsis ecotypes requires careful interpretation based on:
Genetic variation considerations:
Allelic variants may alter epitope sequences
Expression level differences between ecotypes
Post-translational modification patterns specific to ecotypes
Validation approaches:
Sequence alignment of At5g16453 across ecotypes to identify potential epitope variations
Parallel testing with multiple antibodies targeting different epitopes
Correlation with transcript levels across ecotypes
Documentation requirements:
Specify ecotype(s) used in all experimental reports
Indicate known limitations in cross-ecotype applications
Record lot-specific performance variation for laboratory reference
A comprehensive characterization of antibody performance across common ecotypes (Col-0, Ler, Ws) establishes a foundation for experimental design and data interpretation .
Distinguishing At5g16453 from related proteins requires specialized experimental approaches:
Epitope selection strategies:
Targeting unique sequence regions not conserved in related proteins
Validation against recombinant proteins representing each family member
Competition assays with peptides representing shared versus unique epitopes
Experimental validation methods:
Testing against tissues with differential expression of family members
Immunoprecipitation followed by mass spectrometry for binding partner identification
RNA interference to selectively deplete individual family members
Data interpretation frameworks:
Correlation with transcriptomic data for family member expression patterns
Integration with functional assays to confirm biological relevance
Consideration of developmental and tissue-specific regulation
Adaptation of At5g16453 antibodies for cutting-edge microscopy requires specialized modifications and validation:
Super-resolution microscopy applications:
Direct conjugation with photoswitchable fluorophores for STORM/PALM
Secondary antibody selection for STED compatibility
Optimization of fixation protocols to preserve nanoscale structures
Sample clearing techniques for plant tissue imaging depth enhancement
Live-cell imaging adaptations:
Development of membrane-permeable antibody fragments
Single-chain variable fragments (scFvs) for intracellular expression
Nanobody alternatives with superior tissue penetration properties
Correlative light-electron microscopy (CLEM):
Gold-conjugated secondary antibodies for TEM visualization
Fiducial markers for alignment between fluorescence and electron microscopy
Specialized sample preparation preserving both antigenicity and ultrastructure
These advanced imaging approaches enable visualization of At5g16453 subcellular localization and dynamics with unprecedented resolution, revealing functional relationships not visible with conventional techniques .
Development of quantitative multiplex platforms requires systematic optimization:
Assay platform selection based on research needs:
Luminex bead-based assays for solution-phase multiplexing
Planar antibody arrays for high-density target detection
Digital ELISA platforms for ultrasensitive quantification
Antibody compatibility assessment:
Cross-reactivity testing between all antibody pairs
Buffer optimization to accommodate all included antibodies
Incubation condition standardization across targets
Quantification strategy development:
Standard curve generation for each target protein
Determination of dynamic range and detection limits
Verification of quantitative accuracy in complex samples
The table below presents typical performance characteristics for At5g16453 in different multiplex formats:
| Parameter | Singleplex ELISA | Duplex Assay | 5-plex Assay | 10-plex Assay |
|---|---|---|---|---|
| Lower limit of detection | 5 pg/mL | 8 pg/mL | 15 pg/mL | 25 pg/mL |
| Upper limit of quantification | 2000 pg/mL | 1800 pg/mL | 1500 pg/mL | 1200 pg/mL |
| Intra-assay CV% | 3-5% | 5-8% | 8-12% | 10-15% |
| Inter-assay CV% | 8-10% | 10-12% | 12-18% | 15-22% |
| Sample volume requirement | 100 μL | 100 μL | 150 μL | 200 μL |
This systematic approach ensures reliable quantitative data for At5g16453 alongside other proteins of interest .