Os03g0164300 Antibody (product code: CSB-PA472044XA01OFG) is a research antibody that targets the protein encoded by the Os03g0164300 gene in Oryza sativa subsp. japonica (Rice). This antibody specifically recognizes the protein with UniProt accession number B7EIH2 . The antibody is available in two size options: 2ml and 0.1ml, making it suitable for various experimental scales and applications in plant molecular biology research.
While specific validation data for Os03g0164300 Antibody may vary, plant antibodies are typically validated for multiple applications. Based on comparable antibodies in the Cusabio catalog, this antibody is likely suitable for applications including Western blot (immunoblot), immunoprecipitation (IP), enzyme-linked immunosorbent assay (ELISA), and potentially immunohistochemistry (IHC) . Before designing extensive experiments, researchers should conduct preliminary validation studies in their specific experimental systems to confirm application suitability.
For optimal antibody performance, the following storage and handling conditions are recommended:
| Parameter | Recommended Conditions | Notes |
|---|---|---|
| Long-term storage | -20°C or -80°C in small aliquots | Avoid repeated freeze-thaw cycles (limit to ≤5 cycles) |
| Working solution storage | 4°C for up to 2 weeks | Add preservative (e.g., 0.02% sodium azide) for solutions stored >1 week |
| Shipping/temporary storage | 4°C with cooling packs | Avoid exposure to temperatures >25°C |
| Thawing procedure | Thaw gradually at 4°C | Avoid rapid warming |
| Working dilution preparation | Prepare fresh for each experiment | Use high-quality diluents (PBS, TBS with 0.1-1% BSA) |
Regular monitoring of antibody performance through control experiments is essential to detect any activity loss over time .
For optimal Western blot results with Os03g0164300 Antibody, consider the following methodological approach:
Sample preparation: Extract rice proteins using buffers containing appropriate protease inhibitors to prevent degradation.
Protein loading: Load 20-50 μg of total protein per lane, adjusting based on target protein abundance.
Gel separation: Use 10-12% SDS-PAGE gels for standard protein sizes.
Transfer conditions: For plant proteins, semi-dry transfer at 15V for 30-45 minutes or wet transfer at 30V overnight at 4°C.
Blocking: Use 5% non-fat dry milk or BSA in TBST (Tris-buffered saline with 0.1% Tween-20) for 1 hour at room temperature.
Primary antibody: Start with a 1:1000 dilution of Os03g0164300 Antibody in blocking buffer; incubate overnight at 4°C.
Washing: Wash membrane 3-4 times with TBST, 5-10 minutes each.
Secondary antibody: Use appropriate HRP-conjugated secondary antibody at 1:5000 dilution; incubate for 1 hour at room temperature.
Detection: Use enhanced chemiluminescence (ECL) for visualization.
Parallel testing of multiple dilutions (1:500, 1:1000, 1:2000) is recommended for initial optimization .
Effective sample preparation is crucial for antibody performance across different rice tissues:
| Tissue Type | Recommended Extraction Method | Buffer Components | Special Considerations |
|---|---|---|---|
| Leaf | Grinding in liquid nitrogen followed by buffer extraction | 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, 0.5% sodium deoxycholate, protease inhibitor cocktail | Additional washing steps may be needed to remove chlorophyll |
| Root | Grinding in liquid nitrogen followed by buffer extraction | 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% NP-40, 1 mM EDTA, protease inhibitor cocktail | Multiple extraction steps may improve yield |
| Seed/Grain | Grinding with mortar and pestle, buffer extraction with extended mixing | 50 mM Tris-HCl (pH 8.0), 150 mM NaCl, 1% Triton X-100, 2% SDS, 2 mM EDTA, protease inhibitor cocktail | Presoaking seeds and removing starch may improve results |
| Callus/Cell Culture | Direct lysis in buffer with gentle agitation | 25 mM Tris-HCl (pH 7.5), 150 mM NaCl, 0.5% Triton X-100, protease inhibitor cocktail | Shorter extraction time to preserve protein integrity |
For all samples, centrifugation at 12,000-15,000 × g for 15-20 minutes at 4°C is recommended to clear the lysate before immunological applications .
Verifying antibody specificity is essential for reliable research results. For Os03g0164300 Antibody, implement these validation approaches:
Genetic controls:
Use knockout/knockdown rice lines for the Os03g0164300 gene if available
Compare with overexpression lines showing increased target protein levels
Use rice varieties with known expression differences of the target gene
Biochemical validation:
Perform peptide competition assays using the immunizing peptide
Conduct immunoprecipitation followed by mass spectrometry
Compare results with alternative antibodies targeting different epitopes of the same protein
Expression pattern analysis:
Correlate protein detection with known mRNA expression patterns
Verify subcellular localization consistent with predicted protein function
Technical controls:
Include secondary-only controls to assess non-specific binding
Use pre-immune serum controls when available
Document all validation steps methodically to establish confidence in antibody specificity for your experimental system .
When working with plant antibodies, researchers may encounter several challenges:
High background signal:
Increase blocking time or concentration
Use alternative blocking agents (BSA, casein, or commercial blockers)
Increase washing steps duration and number
Optimize antibody dilution (typically using higher dilutions)
Pre-adsorb secondary antibody with plant extract
Weak or no signal:
Optimize protein extraction to prevent degradation
Decrease antibody dilution
Increase incubation time or temperature
Enhance detection system sensitivity
Verify target protein expression in your samples
Non-specific bands:
Use gradient gels to improve separation
Implement more stringent washing conditions
Validate with knockout/knockdown controls if available
Inconsistent results:
Standardize sample preparation procedures
Maintain consistent experimental conditions
Use internal loading controls appropriate for plant samples
Prepare larger batches of working solutions
For rice-specific antibodies, additional considerations include managing high levels of phenolic compounds and carbohydrates that can interfere with antibody binding and detection .
When facing contradictory results between different detection methods using Os03g0164300 Antibody:
Method-specific factors:
Each method (Western blot, IP, IHC) has different sensitivity thresholds and detection limits
Sample preparation varies between methods, potentially affecting epitope accessibility
Native vs. denatured protein conformation can significantly impact antibody recognition
Systematic troubleshooting approach:
Verify antibody functionality in each method independently with positive controls
Assess whether epitope masking occurs in certain sample preparations
Determine if post-translational modifications affect epitope recognition differently between methods
Resolution strategies:
Use complementary detection methods to corroborate findings
Optimize each protocol specifically for the target protein
Consider using alternative antibodies recognizing different epitopes to validate results
Document method-specific conditions that may explain discrepancies
Data integration:
Weight evidence based on method reliability for the specific protein
Consider biological context when interpreting contradictory results
Report all findings transparently, including methodological limitations
Os03g0164300 Antibody can be a valuable tool for investigating rice stress responses through several methodological approaches:
Expression profiling across stress conditions:
Quantify protein expression changes using western blot analysis from rice subjected to various stresses (drought, salinity, temperature, pathogens)
Normalize expression to appropriate housekeeping proteins stable under stress conditions
Develop time-course experiments to track protein dynamics during stress onset, maintenance, and recovery phases
Protein interactions under stress:
Perform co-immunoprecipitation with Os03g0164300 Antibody to identify stress-specific protein interaction partners
Combine with mass spectrometry for unbiased interactome analysis
Validate interactions through reverse co-IP or proximity ligation assays
Post-translational modifications:
Use Os03g0164300 Antibody in combination with modification-specific detection methods
Implement 2D gel electrophoresis to separate protein isoforms before immunoblotting
Compare modification patterns across stress conditions to identify regulatory mechanisms
Subcellular localization changes:
Apply immunofluorescence microscopy to track protein relocalization during stress
Use cell fractionation followed by western blotting to quantify compartment-specific changes
This comprehensive approach can reveal how the protein contributes to stress adaptation mechanisms in rice, potentially identifying targets for improved crop resilience .
Investigating protein-protein interactions involving the Os03g0164300 gene product requires careful methodological considerations:
Co-immunoprecipitation (Co-IP) based methods:
Standard Co-IP using Os03g0164300 Antibody as the bait
Reverse Co-IP using antibodies against suspected interaction partners
Tandem affinity purification for stringent interaction identification
IP followed by mass spectrometry for unbiased interactome mapping
Microscopy-based interaction studies:
Proximity ligation assay (PLA) to visualize protein interactions in situ
Fluorescence resonance energy transfer (FRET) using fluorophore-labeled antibodies
Co-localization analysis with super-resolution microscopy
Genetic and biochemical validation approaches:
Yeast two-hybrid screening followed by validation with Co-IP
Bimolecular fluorescence complementation (BiFC) in rice protoplasts
In vitro binding assays with recombinant proteins
Interaction dynamics analysis:
Study interaction changes across developmental stages
Investigate alterations in interaction networks under stress conditions
Analyze the impact of post-translational modifications on interactions
Each method has specific strengths and limitations, making a multi-method approach ideal for comprehensive interaction characterization .
Integrating computational approaches with experimental data from Os03g0164300 Antibody studies can significantly enhance research outcomes:
Structural biology integration:
Predict the 3D structure of the Os03g0164300 protein using homology modeling
Identify functional domains and potential interaction interfaces
Model antibody-antigen binding to understand epitope accessibility
Design experiments to test structure-based hypotheses
Network analysis:
Place experimentally identified interactions in the context of broader protein networks
Predict additional interaction partners based on network topology
Identify potential functional modules involving the target protein
Generate testable hypotheses about protein function in cellular pathways
Evolutionary analysis:
Compare the Os03g0164300 protein with homologs across plant species
Identify conserved regions that may indicate functional importance
Predict functional divergence that may relate to species-specific roles
Design comparative studies to test evolutionary hypotheses
Multi-omics data integration:
Correlate protein abundance data with transcriptomics, metabolomics, and phenomics data
Develop predictive models for protein function based on integrated datasets
Identify regulatory relationships that control Os03g0164300 expression and activity
This computational-experimental synergy provides a more comprehensive understanding of the protein's biological role and guides future experimental design .
Recent advances in AI-based antibody design offer promising applications for plant research:
Sequence-based protein Large Language Models (LLMs):
Models like MAGE (Monoclonal Antibody GEnerator) can generate paired variable heavy and light chain antibody sequences against specific antigens
These approaches require only an antigen sequence as input, with no need for preexisting antibody templates
Such technology could allow rapid development of novel antibodies against plant-specific proteins
Methodological advantages for plant research:
Rapid generation of antibodies against emerging plant pathogens
Development of antibodies against previously challenging plant targets
Creation of diverse antibody panels targeting different epitopes of the same plant protein
Optimization of existing antibodies for improved specificity and sensitivity
Implementation considerations:
Training data quality and diversity significantly impact model performance
Experimental validation remains essential for computationally designed antibodies
Integration with structural biology enhances epitope targeting precision
Plant-specific validation datasets may need development to optimize models for plant proteins
This emerging technology holds significant potential for expanding the toolbox of plant researchers studying proteins like Os03g0164300 .
Leveraging antibody data repositories and search engines can enhance research with Os03g0164300 Antibody:
Optimal utilization of antibody search engines:
Use search engines to identify alternative antibodies targeting the same protein
Compare antibody specifications across vendors for experimental design
Identify validated applications and experimental conditions for similar antibodies
Access user reviews and validation data to inform methodology
Data repository integration strategy:
Submit validation data to repositories to build community knowledge
Extract methodology details from successful applications with similar antibodies
Compare experimental results with publicly available data for consistency
Identify potential experimental pitfalls through community experience
Recommended repositories and search engines:
| Resource Type | Recommended Platforms | Research Value |
|---|---|---|
| General search engines | CiteAb, Antibodypedia | Comprehensive antibody comparisons across vendors |
| Validation repositories | Antibodypedia, Antibody Registry | Access to experimental validation data |
| Plant-specific resources | Plant Antibodies Database | Specialized information for plant research |
| Application-specific | IBEX multiplex tissue imaging resource | Optimized protocols for specific applications |
Best practices for data submission:
Document detailed methodology including sample preparation
Include positive and negative controls in validation data
Specify experimental conditions (dilutions, incubation times)
Provide clear images of results for community reference
This strategic use of antibody resources enhances experimental design and interpretation of results with Os03g0164300 Antibody .