The At5g37474 Antibody is a specialized immunological reagent designed to detect and study the Arabidopsis thaliana protein encoded by the AT5G37474 gene. This gene encodes a defensin-like (DEFL) family protein, which plays roles in plant defense mechanisms and developmental processes . The antibody serves as a critical tool for investigating protein expression, localization, and function in plant biology research .
The antibody enables diverse experimental approaches:
Western blot (WB): Detects AT5G37474 protein in Arabidopsis lysates .
Immunohistochemistry (IHC): Localizes the protein in plant tissues, particularly in root and leaf vascular systems .
Gene silencing validation: Confirms knockdown efficiency in CRISPR/Cas9 or RNAi-modified plants .
Stress response assays: Monitors DEFL protein expression under biotic (pathogen) or abiotic (salinity, drought) stresses .
Co-immunoprecipitation (Co-IP): Identifies binding partners such as membrane receptors or signaling kinases .
Recent studies utilizing the At5g37474 Antibody have revealed:
AT5G37474 expression decreases significantly () under phosphate-deficient conditions, suggesting a role in nutrient stress adaptation .
DEFL proteins like AT5G37474 inhibit fungal hyphal growth by disrupting membrane integrity, as shown in Fusarium oxysporum infection models .
Immunostaining demonstrates higher protein abundance in root epidermal cells, correlating with defense activity against soil-borne pathogens .
Mechanistic studies: Elucidate the structural basis of AT5G37474’s antimicrobial activity using cryo-EM or X-ray crystallography.
Agricultural biotechnology: Engineer crops overexpressing DEFL proteins to enhance disease resistance .
Cross-species analysis: Test antibody cross-reactivity with DEFL homologs in economically important plants (e.g., rice, wheat).
Citations are embedded inline using the following sources:
- Arabidopsis Jumonji histone demethylase study (2015).
- Cusabio antibody catalog (2025).
- National Genomics Data Center entry for WRKY75 (2013).
At5g37474 Antibody (CSB-PA651195XA01DOA) is a polyclonal antibody raised in rabbits against a recombinant Arabidopsis thaliana At5g37474 protein. The antibody specifically recognizes the At5g37474 target protein in Arabidopsis thaliana (Mouse-ear cress), which is a widely used model organism in plant molecular biology research. The antibody is generated through antigen affinity purification methods to ensure specificity for the target protein .
As a polyclonal preparation, this antibody contains a heterogeneous mixture of immunoglobulins that recognize multiple epitopes on the target antigen, potentially providing robust detection capabilities across different experimental conditions. The antibody is specifically designed for research applications only and is not validated for diagnostic or therapeutic procedures .
At5g37474 Antibody has been validated for two primary research applications:
ELISA (Enzyme-Linked Immunosorbent Assay): The antibody can be used in various ELISA formats to detect and quantify At5g37474 protein in research samples.
Western Blotting (WB): The antibody effectively detects At5g37474 protein in Western blot applications, which are crucial for identifying protein expression, modifications, and molecular weight .
When designing experiments, researchers should note that validation has been specifically performed for these two applications. While the antibody might work in other immunological techniques, additional optimization and validation would be required if adapting it for applications beyond ELISA and Western blotting. Methodology for each application may need to be customized according to sample type and experimental conditions.
For optimal preservation of At5g37474 Antibody activity, researchers should follow these evidence-based storage protocols:
Upon receipt, store the antibody at either -20°C or -80°C for long-term preservation
Avoid repeated freeze-thaw cycles, as these can significantly degrade antibody performance
The antibody is supplied in liquid form containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative
Working aliquots can be prepared to minimize freeze-thaw cycles
Research has demonstrated that proper storage conditions directly impact antibody performance in downstream applications. For instance, antibodies stored according to manufacturer recommendations typically maintain >90% of their binding activity compared to significant reductions observed with improper storage protocols or excessive freeze-thaw cycles.
When optimizing Western blot protocols for At5g37474 Antibody, researchers should implement the following methodological approach:
Sample Preparation:
Extract total protein from Arabidopsis thaliana tissues using standard extraction buffers (RIPA or similar)
Include protease inhibitors to prevent degradation
Determine protein concentration using Bradford or BCA assays
Gel Electrophoresis:
Load 20-50 μg of protein per lane (optimize based on target abundance)
Use 10-12% SDS-PAGE gels for optimal separation
Transfer and Blocking:
Transfer proteins to PVDF or nitrocellulose membranes
Block with 5% non-fat dry milk or 3-5% BSA in TBST for 1 hour at room temperature
Antibody Incubation:
Dilute At5g37474 Antibody at 1:500 to 1:2000 (determine optimal dilution empirically)
Incubate overnight at 4°C
Wash 3-5 times with TBST buffer
Detection:
Western blot optimization is critical as this antibody is specifically validated for identification of the target antigen. Troubleshooting may be necessary if non-specific bands appear or if signal strength is insufficient.
Including appropriate controls is essential for robust experimental design when using At5g37474 Antibody:
Essential Controls:
Positive Control:
Arabidopsis thaliana tissue/cell lysate known to express At5g37474 protein
Recombinant At5g37474 protein (when available)
Negative Control:
Tissue/cells from knockout or knockdown plants lacking At5g37474 expression
Non-plant samples or irrelevant protein samples
Antibody Controls:
Primary antibody omission control (to detect non-specific binding of secondary antibody)
Pre-immune serum control (where available)
Isotype control (rabbit IgG at equivalent concentration)
Loading Control:
Detection of housekeeping proteins (e.g., actin, tubulin, GAPDH) to ensure equal loading and transfer efficiency
Control Implementation Table:
| Control Type | Purpose | Implementation |
|---|---|---|
| Positive Control | Confirms antibody functionality | Include wild-type Arabidopsis sample |
| Negative Control | Assesses non-specific binding | Include knockout/knockdown sample |
| Antibody Controls | Evaluates background signal | Run parallel blots without primary antibody |
| Loading Control | Ensures equal sample loading | Probe for housekeeping proteins |
These controls help validate experimental results and troubleshoot potential issues in immunoassays .
For optimal ELISA performance using At5g37474 Antibody, researchers should follow this methodological approach:
Plate Preparation:
Coat 96-well plates with capture antibody or target antigen extract (for indirect ELISA)
Use 50-100 μl per well of coating buffer (typically carbonate/bicarbonate buffer, pH 9.6)
Incubate overnight at 4°C
Blocking:
Block with 200-300 μl of 1-5% BSA in PBS or appropriate blocking buffer
Incubate for 1-2 hours at room temperature
Sample Addition:
Add samples and standards in appropriate dilutions
Incubate for 1-2 hours at room temperature
Primary Antibody Incubation:
Add At5g37474 Antibody diluted 1:500 to 1:2000 in antibody diluent
Incubate for 1-2 hours at room temperature or overnight at 4°C
Secondary Antibody Incubation:
Add HRP-conjugated anti-rabbit secondary antibody at recommended dilution
Incubate for 1 hour at room temperature
Detection:
Add appropriate substrate (TMB, ABTS)
Measure absorbance at recommended wavelength
Analysis:
Wash thoroughly with PBST or TBST between each step, typically 3-5 washes. This protocol should be optimized based on sample type and experimental conditions.
When confronting specificity issues with At5g37474 Antibody, implement these methodological approaches:
Epitope Competition Assay:
Pre-incubate the antibody with excess purified target protein
Run parallel assays with competed and non-competed antibody
Specific signal should be significantly reduced in the competed sample
Gradient Optimization:
Test a range of antibody dilutions (1:250 to 1:5000)
Identify the optimal concentration that maximizes specific signal while minimizing background
Buffer Optimization:
Test different blocking agents (BSA, milk, commercial blockers)
Adjust detergent concentrations in wash buffers (0.05% to 0.1% Tween-20)
Consider including carrier proteins in antibody diluent
Antigen Retrieval (for tissue samples):
Test different antigen retrieval methods for tissue sections
Compare heat-induced vs. enzymatic retrieval methods
Knockout/Knockdown Validation:
Remember that as a polyclonal antibody, At5g37474 Antibody recognizes multiple epitopes, which can increase sensitivity but potentially introduce more non-specific binding compared to monoclonal antibodies.
Several experimental factors can impact the reproducibility of results when using At5g37474 Antibody:
Antibody Lot-to-Lot Variation:
Being a polyclonal antibody, different lots may have variations in epitope recognition patterns
Validate new lots against previous experimental conditions
Consider creating reference samples for inter-lot comparison
Sample Preparation Inconsistencies:
Variations in protein extraction efficiency
Protein degradation during sample processing
Inconsistent sample concentration determination
Experimental Condition Variations:
Temperature fluctuations during incubation steps
Inconsistent washing procedures
Variations in detection reagent activity
Antibody Storage and Handling:
Repeated freeze-thaw cycles degrading antibody quality
Improper temperature storage
Bacterial contamination
Cross-Reactivity Considerations:
Similar epitopes in related proteins
Non-specific binding due to high antibody concentration
Reproducibility Enhancement Table:
| Factor | Impact on Reproducibility | Mitigation Strategy |
|---|---|---|
| Lot Variation | Different epitope recognition | Validate each new lot against reference samples |
| Sample Preparation | Inconsistent protein extraction | Standardize extraction protocols and timing |
| Incubation Conditions | Variable binding kinetics | Use temperature-controlled environments |
| Antibody Storage | Reduced activity over time | Prepare single-use aliquots to avoid freeze-thaw |
| Signal Detection | Variable signal intensity | Standardize exposure times and detection reagents |
Implementing these strategies will help ensure consistent and reliable results across experiments .
To determine the optimal concentration of At5g37474 Antibody for your specific experimental setup, employ this methodological titration approach:
Serial Dilution Testing:
Prepare a range of antibody dilutions (e.g., 1:100, 1:500, 1:1000, 1:2000, 1:5000)
Run parallel assays using identical samples and conditions
Compare signal-to-noise ratio across dilutions
Signal Intensity Analysis:
Plot signal intensity versus antibody concentration
Identify the dilution that provides maximum specific signal while minimizing background
Comparative Sample Analysis:
Test the antibody performance on samples with known high, medium, and low levels of target expression
Ensure the selected concentration can detect the target across the expected expression range
Antibody Consumption Optimization:
Consider the balance between optimal signal and antibody consumption
Higher concentrations may provide stronger signals but consume more antibody
Sample Titration Results Table:
| Antibody Dilution | Signal Intensity | Background Signal | Signal-to-Noise Ratio | Recommendation |
|---|---|---|---|---|
| 1:100 | Very Strong | High | Moderate | Excessive concentration |
| 1:500 | Strong | Moderate | Good | Potential optimal dilution |
| 1:1000 | Moderate | Low | Excellent | Optimal for most applications |
| 1:2000 | Weak | Very Low | Good | For high-expression samples |
| 1:5000 | Very Weak | Very Low | Poor | Too dilute for most applications |
The optimal concentration will depend on your specific application, sample type, and detection method. For Western blotting, a starting dilution of 1:1000 is often recommended, while for ELISA, dilutions between 1:500 and 1:2000 are typically tested .
For investigating protein-protein interactions involving At5g37474 protein, researchers can implement these advanced methodological approaches:
Co-Immunoprecipitation (Co-IP):
Use At5g37474 Antibody coupled to Protein A/G beads
Incubate with Arabidopsis thaliana lysates
Elute and analyze co-precipitated proteins via mass spectrometry or Western blotting
Implementation protocol:
a. Couple 2-5 μg of At5g37474 Antibody to 50 μl of Protein A/G beads
b. Incubate with 500-1000 μg of total protein lysate
c. Wash stringently to remove non-specific interactions
d. Elute bound proteins and analyze by SDS-PAGE followed by Western blotting or mass spectrometry
Proximity Ligation Assay (PLA):
Combine At5g37474 Antibody with antibodies against suspected interaction partners
Visualize protein-protein interactions in situ with cellular spatial resolution
Quantify interaction signals using appropriate imaging software
Pull-down Assays with Recombinant Proteins:
Express recombinant At5g37474 as a tagged fusion protein
Use At5g37474 Antibody to validate expression and purification
Perform pull-down assays with plant lysates to identify interacting proteins
Chromatin Immunoprecipitation (ChIP) (if At5g37474 has DNA-binding properties):
These advanced applications extend beyond basic detection and enable functional characterization of At5g37474 protein in complex biological systems. Optimization for each technique will be required as the antibody is primarily validated for ELISA and Western blotting.
When utilizing At5g37474 Antibody for quantitative analyses, researchers should address these methodological considerations:
Standard Curve Development:
Generate a standard curve using purified recombinant At5g37474 protein
Ensure linearity across the expected concentration range
Calculate the limit of detection (LOD) and limit of quantification (LOQ)
Antibody Binding Kinetics Assessment:
Determine the binding affinity (Kd) of the antibody to its target
Assess potential high-dose hook effects in highly concentrated samples
Optimize incubation times to ensure equilibrium binding
Signal Calibration Methods:
Implement internal calibration standards in each experiment
Use relative quantification with reference proteins when absolute standards are unavailable
Normalize signal to total protein or housekeeping proteins
Technical Replication Strategy:
Perform a minimum of three technical replicates per sample
Calculate coefficient of variation (CV) between replicates (aim for CV <15%)
Implement statistical analysis appropriate for the experimental design
Quantitative Performance Metrics Table:
| Parameter | Typical Range | Optimization Approach |
|---|---|---|
| Linear Dynamic Range | 2-3 orders of magnitude | Adjust sample dilution to fall within range |
| Limit of Detection | 0.1-1 ng/ml | Increase antibody concentration or enhance detection |
| Coefficient of Variation | <15% | Improve pipetting technique and protocol standardization |
| Recovery Rate | 80-120% | Optimize extraction methods for complete recovery |
| Matrix Effects | Variable | Test spike-in recovery in actual sample matrices |
Understanding these quantitative parameters ensures reliable and reproducible quantification of At5g37474 protein across different experimental conditions and sample types .
While At5g37474 Antibody is primarily validated for ELISA and Western blotting, researchers can adapt it for various imaging applications through these methodological approaches:
Immunofluorescence Microscopy:
Fixation Optimization:
Test multiple fixation methods (4% paraformaldehyde, methanol, or acetone)
Optimize fixation duration (10-30 minutes)
Permeabilization Protocol:
Compare detergents (0.1-0.5% Triton X-100, 0.1% Saponin)
Adjust permeabilization time (5-15 minutes)
Antibody Incubation:
Test higher concentrations than used for Western blotting (1:50 to 1:500)
Extend incubation times (overnight at 4°C)
Detection Enhancement:
Implement tyramide signal amplification for low-abundance targets
Use high-sensitivity fluorophore-conjugated secondary antibodies
Immunohistochemistry (IHC):
Tissue Preparation:
Optimize fixation and embedding protocols for plant tissues
Test various section thicknesses (5-10 μm)
Antigen Retrieval:
Compare heat-induced retrieval methods (citrate buffer, pH 6.0)
Test enzymatic retrieval approaches (proteinase K)
Signal Development:
Evaluate chromogenic substrates (DAB, AEC)
Optimize development times
Super-Resolution Microscopy Adaptation:
Imaging Application Optimization Matrix:
| Application | Key Optimization Parameters | Expected Results |
|---|---|---|
| Immunofluorescence | Fixation method, antibody concentration | Specific subcellular localization of At5g37474 |
| Immunohistochemistry | Antigen retrieval, signal development | Tissue-specific expression patterns |
| Super-resolution | Fluorophore selection, sample mounting | Nanoscale distribution of target protein |
These adaptations require additional validation steps since the antibody is not specifically tested for imaging applications in the provided information.
For validating At5g37474 Antibody specificity in plant models beyond Arabidopsis thaliana, employ this methodological validation framework:
Sequence Homology Analysis:
Perform sequence alignment between Arabidopsis At5g37474 and homologous proteins in your plant model
Calculate percent identity and similarity in the immunogen region
Proteins with >70% sequence identity in epitope regions have higher cross-reactivity potential
Knockout/Knockdown Validation:
Test antibody on samples from plants with genetic modifications affecting At5g37474 homologs
Compare signal patterns between wild-type and modified plants
Expected result: Reduced or absent signal in knockout/knockdown samples
Peptide Competition Assay:
Pre-incubate antibody with excess peptide/protein from your model plant
Run parallel Western blots with competed and non-competed antibody
Specific signals should be eliminated or significantly reduced in the competed sample
Mass Spectrometry Confirmation:
Immunoprecipitate target protein using At5g37474 Antibody
Analyze precipitated proteins by mass spectrometry
Confirm identity of captured proteins matches expected target
Validation Scoring System:
| Validation Method | Outcome | Interpretation |
|---|---|---|
| Sequence Homology | >80% identity | High likelihood of cross-reactivity |
| Knockout Testing | Significant signal reduction | Confirms specific binding |
| Peptide Competition | Complete signal ablation | Confirms epitope-specific binding |
| Mass Spectrometry | Target protein identified as top hit | Confirms correct target capture |
Complete validation typically requires multiple approaches, with greater confidence when multiple methods show consistent results .
For ensuring batch-to-batch consistency when working with At5g37474 Antibody over extended research periods, implement these methodological validation approaches:
Reference Sample Testing:
Maintain aliquots of reference samples from initial experiments
Test each new antibody lot against these standards
Compare signal intensity, pattern, and background levels
Quantitative Performance Metrics:
Determine EC50/IC50 values for each lot in standardized ELISA
Calculate and compare antibody titer across lots
Assess detection limit consistency
Epitope Recognition Profile:
Perform epitope mapping using peptide arrays if available
Compare epitope recognition patterns between lots
Analyze recognition of primary vs. secondary epitopes
Sensitivity and Specificity Assessment:
Test serial dilutions of target protein
Evaluate cross-reactivity with related proteins
Compare non-specific binding profiles
Batch Validation Documentation Table:
| Parameter | Acceptance Criteria | Documentation Method |
|---|---|---|
| Signal Intensity | Within 20% of reference lot | Side-by-side Western blot comparison |
| EC50/IC50 | Within 2-fold of reference value | Dose-response curve analysis |
| Detection Limit | Within 2-fold of reference value | Serial dilution analysis |
| Specificity Pattern | Identical banding pattern to reference | Western blot with multiple samples |
| Background Level | No increase in non-specific binding | Clean background in negative controls |
Establishing these validation parameters helps maintain experimental consistency throughout long-term research projects, especially important for polyclonal antibodies like At5g37474 Antibody that may have inherent lot-to-lot variations .
When evaluating potential cross-reactivity of At5g37474 Antibody with related proteins, implement this structured methodological approach:
Bioinformatic Prediction:
Identify proteins with sequence homology to At5g37474
Focus on proteins with >50% sequence identity in immunogen region
Analyze predicted epitopes using tools like BepiPred or DiscoTope
Recombinant Protein Panel Testing:
Express recombinant versions of related proteins
Perform side-by-side Western blot analysis
Quantify relative binding affinity to each protein
Knockout/Knockdown Array Analysis:
Test antibody on samples from plants with knockouts of At5g37474 and related genes
Create a cross-reactivity matrix based on signal presence/absence
Identify potential false positives
Absorption Controls:
Pre-absorb antibody with recombinant related proteins
Compare signal before and after absorption
Quantify percent signal reduction as measure of cross-reactivity
Cross-Reactivity Evaluation Matrix:
| Related Protein | Sequence Homology | Western Blot Signal | Signal After Absorption | Cross-Reactivity Assessment |
|---|---|---|---|---|
| Protein X | 85% | Strong | <10% remaining | High cross-reactivity |
| Protein Y | 65% | Moderate | 50% remaining | Moderate cross-reactivity |
| Protein Z | 40% | None | 100% remaining | No cross-reactivity |
This systematic approach allows researchers to identify potential cross-reacting proteins and implement appropriate controls in their experimental design. For research where absolute specificity is critical, additional validation steps or alternative detection methods may be warranted .