At3g62230 Antibody (Product Code: CSB-PA885514XA01DOA) is a polyclonal, antigen-affinity purified antibody raised in rabbits against recombinant Arabidopsis thaliana At3g62230 protein. This antibody specifically recognizes the At3g62230 protein in Arabidopsis thaliana (Mouse-ear cress). It is supplied in liquid form containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. The antibody has been validated for ELISA and Western blot applications, making it suitable for detecting and quantifying At3g62230 protein in research contexts .
For optimal preservation of antibody activity and functionality, At3g62230 Antibody should be stored at either -20°C or -80°C immediately upon receipt. The manufacturer specifically advises avoiding repeated freeze-thaw cycles as these can significantly compromise antibody stability and activity. Best practices include aliquoting the antibody into smaller volumes based on experimental needs to minimize freeze-thaw cycles, and allowing aliquots to reach room temperature before use. The antibody is provided in a storage buffer containing 50% glycerol, which helps maintain stability during freeze-thaw transitions .
Rigorous validation of At3g62230 Antibody specificity is essential for ensuring reliable experimental results. A comprehensive validation approach should include:
Testing the antibody in Arabidopsis thaliana knockout or knockdown lines lacking the At3g62230 gene (T-DNA insertion lines or CRISPR-edited plants)
Performing peptide competition assays by pre-incubating the antibody with excess immunizing peptide
Verifying that detected bands in Western blot match the predicted molecular weight of At3g62230 protein
Using recombinant At3g62230 protein as a positive control alongside related proteins as negative controls
Comparing antibody detection with orthogonal methods such as RNA expression analysis or mass spectrometry
These validation steps help establish confidence in antibody specificity, which is crucial for meaningful interpretation of experimental results, particularly given the potential for cross-reactivity with related plant proteins .
Optimizing At3g62230 Antibody for Western blot applications requires systematic adjustment of multiple parameters to achieve the best signal-to-noise ratio. Key optimization steps include:
Determining the optimal antibody dilution through a titration series (typically starting with 1:500 to 1:5000)
Testing different blocking agents (5% non-fat milk, 3-5% BSA, or commercial blocking buffers)
Optimizing incubation conditions (typically overnight at 4°C or 1-2 hours at room temperature)
Refining sample preparation protocols to ensure efficient protein extraction while preserving epitope integrity
Implementing appropriate controls (positive samples containing At3g62230 protein and negative controls)
The following table summarizes recommended optimization parameters:
Parameter | Suggested Starting Point | Optimization Range | Notes |
---|---|---|---|
Antibody Dilution | 1:1000 | 1:500 - 1:5000 | Titrate to find optimal concentration |
Blocking Agent | 5% milk in TBST | 3-5% BSA or milk | Test both to determine best results |
Incubation Time | Overnight at 4°C | 1h at RT - overnight at 4°C | Longer incubations may improve sensitivity |
Washing | 3 × 10 min | 3-5 × 5-15 min | Thorough washing reduces background |
Sample Amount | 20-30 μg protein | 10-50 μg | Adjust based on target abundance |
Systematic optimization of these parameters will help researchers achieve the most sensitive and specific detection of At3g62230 protein .
When working with low-abundance At3g62230 protein, researchers can implement several strategies to enhance detection sensitivity:
Sample enrichment techniques such as immunoprecipitation to concentrate the target protein before analysis
Utilizing enhanced chemiluminescent (ECL) substrates specifically designed for high-sensitivity detection
Implementing signal amplification methods such as tyramide signal amplification (TSA) or polymer-based detection systems
Extending primary antibody incubation times (up to 48 hours at 4°C) to maximize binding opportunities
Optimizing protein extraction methods to improve solubilization and recovery of At3g62230 protein
Using low-fluorescence or specialized PVDF membranes designed for enhanced protein binding and reduced background
Additionally, researchers can explore alternative detection platforms such as capillary Western systems or automated Western blot processors that often provide improved sensitivity through standardized procedures and specialized detection chemistries. When implementing these approaches, it remains essential to include appropriate controls to validate the specificity of detected signals, particularly when working at the limits of detection .
Designing experiments to study At3g62230 protein interactions requires strategic application of the antibody in various interaction detection methodologies:
Co-immunoprecipitation (Co-IP): Use At3g62230 Antibody to precipitate the target protein along with its binding partners from plant lysates, followed by mass spectrometry identification or Western blot detection of co-precipitated proteins.
Proximity Ligation Assay (PLA): Combine At3g62230 Antibody with antibodies against suspected interaction partners to visualize protein-protein interactions in situ with single-molecule resolution.
Chromatin Immunoprecipitation (ChIP): If At3g62230 is involved in transcriptional regulation, use the antibody to identify DNA sequences associated with the protein.
Bimolecular Fluorescence Complementation (BiFC): Although this technique doesn't directly use the antibody, it can complement antibody-based approaches by confirming interactions identified through Co-IP.
Pull-down validation: Use recombinant At3g62230 protein to validate interactions identified through other methods, with the antibody serving to detect bound proteins.
A comprehensive experimental design should include:
Appropriate negative controls (IgG controls, competing peptides)
Reciprocal experiments where possible (precipitating with antibodies against suspected partners)
Validation through orthogonal methods
Functional assays to confirm the biological relevance of identified interactions
These approaches can help researchers map the interactome of At3g62230 protein and understand its role in plant biological processes .
Researchers commonly encounter several challenges when using At3g62230 Antibody in Western blot applications. These issues and their potential solutions include:
High background signal:
Increase blocking time or concentration (try 5% BSA instead of milk)
Reduce primary antibody concentration
Add 0.1-0.3% Tween-20 to washing buffer
Increase number and duration of washing steps
Weak or absent signal:
Optimize protein extraction to preserve epitope integrity
Increase antibody concentration or incubation time
Ensure sample hasn't degraded during preparation
Try alternative membrane types (PVDF often performs better than nitrocellulose for some antibodies)
Use enhanced sensitivity detection systems
Multiple bands or unexpected band sizes:
Verify if bands represent degradation products, post-translational modifications, or splice variants
Include peptide competition controls to identify specific versus non-specific bands
Test samples from knockout plants as negative controls
Optimize sample preparation to reduce proteolysis
Inconsistent results between experiments:
Standardize all aspects of the protocol (sample preparation, blocking, antibody dilutions)
Prepare fresh working solutions for each experiment
Include internal loading controls
Document lot numbers and prepare larger antibody aliquots to minimize variation
Edge effects or uneven signal across the membrane:
Ensure adequate volume of antibody solution to completely cover the membrane
Agitate gently during incubations
Use incubation trays or heat-sealed bags to prevent membrane drying
Systematic troubleshooting by modifying one parameter at a time will help identify and address the specific causes of problems in each experimental system .
Advanced imaging technologies can significantly enhance the application of At3g62230 Antibody for cellular localization studies, providing superior resolution and quantitative data:
Super-resolution microscopy techniques:
Structured Illumination Microscopy (SIM) can achieve resolution of ~100 nm
Stimulated Emission Depletion (STED) microscopy offers resolution down to 30-80 nm
Single Molecule Localization Microscopy (SMLM) methods like PALM or STORM can reach 10-20 nm resolution
These techniques enable precise localization of At3g62230 protein relative to subcellular structures
Multi-color confocal microscopy:
Simultaneous imaging of At3g62230 (using labeled secondary antibodies) alongside organelle markers
Spectral unmixing capabilities to resolve signals with overlapping emission spectra
Live-cell compatible imaging strategies for dynamic localization studies
3D imaging approaches:
Z-stack acquisition and 3D reconstruction to visualize spatial distribution
Light sheet microscopy for reduced photobleaching and phototoxicity
Volume rendering for comprehensive visualization of protein distribution
Quantitative image analysis:
Colocalization analysis using Pearson's or Mander's coefficients
Intensity correlation analysis
Distance-based approaches for proximity measurements
Machine learning algorithms for pattern recognition and classification
Correlative Light and Electron Microscopy (CLEM):
Combines immunofluorescence detection of At3g62230 with ultrastructural context
Particularly valuable for precise localization within complex organelles
These advanced imaging approaches enable researchers to not only visualize the subcellular distribution of At3g62230 protein but also quantify its abundance and characterize its dynamic behavior under different experimental conditions .
Evaluating and enhancing the thermal stability of At3g62230 Antibody is crucial for ensuring consistent performance in long-term studies. Researchers can employ the following approaches:
Stability assessment methodologies:
Differential Scanning Fluorimetry (DSF) to monitor thermal unfolding profiles
Size Exclusion Chromatography (SEC) to detect aggregation or fragmentation
Enzyme-Linked Immunosorbent Assay (ELISA) to measure functional binding activity after thermal stress
Periodic Western blot testing against standard samples to track performance over time
Stability-enhancing storage conditions:
Store in small aliquots (20-50 μl) at -80°C to minimize freeze-thaw cycles
Add stabilizing agents like trehalose (0.5-1%) or additional glycerol if not already present
Consider lyophilization for very long-term storage needs
Maintain strict temperature records and avoid temperature fluctuations
Buffer optimization strategies:
Adjust pH to optimal range (typically pH 7.2-7.5)
Add carrier proteins like BSA (0.1-1%) if not already in formulation
Test addition of antioxidants like 1-5 mM EDTA or 1 mM sodium azide
Evaluate commercial antibody stabilization solutions
Handling practices to preserve stability:
Minimize exposure to light and heat during experiments
Use non-stick tubes for storage to prevent adsorptive loss
Avoid vortexing; mix by gentle inversion
Centrifuge briefly before use to collect contents after thawing
The following table summarizes stability assessment approaches and their applications:
Assessment Method | What It Measures | Equipment Required | Interpretation |
---|---|---|---|
DSF | Thermal unfolding temperature (Tm) | Real-time PCR instrument | Higher Tm indicates greater thermal stability |
SEC | Aggregation and fragmentation | HPLC system | Monomeric peak should maintain consistent retention time |
ELISA | Functional binding activity | Plate reader | Activity should remain within 20% of initial value |
Western blot | Target recognition | Standard WB equipment | Consistent band intensity and pattern |
Implementing these approaches allows researchers to systematically monitor and enhance antibody stability, ensuring reliable performance throughout extended experimental timelines .
The At3g62230 protein (UniProt: Q9M1Q1) is characterized as an F-box/kelch-repeat protein, functioning as a substrate recognition component in SCF (Skp1-Cullin-F-box) E3 ubiquitin ligase complexes. These complexes play crucial roles in protein ubiquitination and subsequent degradation via the 26S proteasome pathway, representing a fundamental regulatory mechanism in plant signaling.
Current research indicates that At3g62230 is involved in several signaling pathways:
The At3g62230 Antibody provides researchers with a valuable tool to investigate these functions through protein detection, localization studies, and interaction analyses, contributing to our understanding of plant molecular signaling networks .
In silico approaches can significantly enhance experimental work with At3g62230 Antibody, providing computational frameworks that both guide and complement laboratory investigations:
Structural modeling and analysis:
Homology modeling of At3g62230 protein structure based on related F-box/kelch-repeat proteins
Molecular docking simulations to predict interactions with potential substrates or partners
Molecular dynamics simulations to analyze protein flexibility and conformational changes
These approaches can inform epitope accessibility for antibody binding
Epitope prediction and antibody engineering:
Computational prediction of immunogenic epitopes within At3g62230 protein
Antibody modeling to understand paratope-epitope interactions
In silico affinity maturation to design improved variants with enhanced specificity
These methods can help researchers interpret and potentially improve antibody performance
Network analysis and systems biology:
Prediction of functional protein-protein interaction networks involving At3g62230
Integration with transcriptomic and proteomic datasets to identify co-regulated genes/proteins
Pathway enrichment analysis to contextualize At3g62230 within broader biological processes
These approaches guide hypothesis generation for experimental validation
Experimental design optimization:
Statistical modeling to determine optimal experimental conditions
Design of Experiments (DoE) approaches to efficiently explore parameter spaces
Power analysis to determine appropriate sample sizes for meaningful results
These methods enhance experimental efficiency and statistical robustness
Image analysis for microscopy applications:
Automated quantification of immunofluorescence signals
Colocalization analysis algorithms for multi-channel imaging
Machine learning approaches for pattern recognition in complex tissues
These tools extract quantitative data from antibody-based imaging
The integration of these computational approaches with experimental work using At3g62230 Antibody creates a powerful research strategy that maximizes data interpretation while minimizing experimental iterations .
Researchers can employ several advanced protein characterization techniques in conjunction with At3g62230 Antibody to gain deeper insights into protein function, interactions, and dynamics:
Surface Plasmon Resonance (SPR) and Bio-Layer Interferometry (BLI):
Quantify binding kinetics and affinity constants between At3g62230 and interaction partners
Measure association (ka) and dissociation (kd) rates and equilibrium dissociation constants (KD)
Compare binding properties across different experimental conditions or mutations
These techniques require immobilizing either At3g62230 protein or its partners, with the antibody potentially serving as a capture reagent
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Map regions of At3g62230 involved in protein-protein interactions
Identify conformational changes upon substrate binding
Characterize structural dynamics in different cellular states
The antibody can be used to immunoprecipitate At3g62230 protein complexes prior to HDX-MS analysis
Cryo-Electron Microscopy and X-ray Crystallography:
Determine high-resolution structures of At3g62230 protein alone or in complexes
Visualize the structural basis for substrate recognition and binding
The antibody might aid in complex stabilization or crystallization
Antibody-based purification can provide sufficient quantities of pure protein for structural studies
Cross-linking Mass Spectrometry (XL-MS):
Identify direct contact points between At3g62230 and its binding partners
Map the topography of protein complexes
The antibody can be used for immunoprecipitation of cross-linked complexes
Single-Molecule Techniques:
Single-molecule FRET to monitor conformational changes
Optical tweezers or atomic force microscopy to measure mechanical properties
These approaches provide insights into protein dynamics invisible to ensemble measurements
Proximity Labeling Methods:
BioID or APEX2 fusion proteins to identify the proximal interactome of At3g62230
The antibody serves to validate proximity labeling results
These advanced characterization techniques, when combined with traditional antibody-based approaches, provide a comprehensive toolset for investigating At3g62230 protein function at multiple levels of resolution, from atomic structure to cellular context .