Antibodies enable precise detection and quantification of plant proteins in experiments such as:
Western blotting
Immunohistochemistry
Enzyme-linked immunosorbent assays (ELISA)
The Os11g0242900 Antibody’s utility likely centers on studying rice gene expression, stress responses, or yield-related traits. For example, homologs of Os11g0242900 in other plants are implicated in cell wall synthesis or pathogen defense .
AntigenDB: While Os11g0242900 is not explicitly listed in AntigenDB (focused on pathogen antigens), its inclusion in Cusabio’s catalog highlights its role in plant-specific research .
Observed Antibody Space (OAS): This database emphasizes human and pathogen-related antibodies but underscores the need for standardized repositories for plant antibodies .
Current data on Os11g0242900 Antibody are sparse, with no peer-reviewed studies directly citing its use. Further research could explore:
Crystallographic studies to map its antigen-binding interface.
Functional assays to validate its specificity in rice tissues.
Integration into multi-omics databases for crop improvement research.
The Os11g0242900 gene encodes a putative B3 domain-containing protein in Oryza sativa subsp. japonica (Rice) . B3 domain proteins typically function as transcription factors involved in various developmental processes in plants. The gene is also annotated as LOC_Os11g13900 in some databases. The protein contains the B3 DNA-binding domain, which is found in several plant-specific transcription factors involved in hormone signaling and development .
The Os11g0242900 antibody is a polyclonal antibody raised in rabbits against the protein product of the Os11g0242900 gene from Oryza sativa subsp. japonica (Rice) . The antibody has been purified using antigen-affinity techniques to ensure specificity. It belongs to the IgG isotype and has been validated for applications including ELISA (Enzyme-Linked Immunosorbent Assay) and Western Blot, which are essential techniques for protein detection and quantification in research settings .
Based on the available information, the Os11g0242900 antibody has been validated for use in:
Western Blot (WB) analysis for detection and semi-quantification of the target protein from rice samples
ELISA (EIA) for quantitative determination of the protein in solution
These applications are fundamental for researchers studying protein expression patterns, localization, and functional characterization of the B3 domain-containing protein in rice.
While specific storage information for this antibody is not provided in the search results, standard antibody storage and handling protocols should be followed. This typically includes:
Long-term storage at -20°C or -80°C to maintain antibody integrity
Avoiding repeated freeze-thaw cycles by preparing working aliquots
Short-term storage (1-2 weeks) at 4°C during active experimental periods
Protection from light, especially if the antibody is conjugated with light-sensitive fluorophores
Handling with appropriate personal protective equipment to prevent contamination
Validating antibody specificity is crucial for accurate experimental results. For the Os11g0242900 antibody, researchers should consider implementing a multi-step validation process:
Positive and negative controls: Include wild-type rice samples (positive control) and knockout/knockdown lines of Os11g0242900 if available (negative control)
Pre-absorption test: Pre-incubate the antibody with purified recombinant Os11g0242900 protein before immunodetection to verify that the signal disappears, confirming specificity
Cross-reactivity assessment: Test the antibody against samples from related rice species or varieties to determine cross-reactivity profiles
Molecular weight verification: Confirm that the detected protein band in Western blot corresponds to the predicted molecular weight of the Os11g0242900 protein product
Comparative analysis: Use alternative detection methods (e.g., mass spectrometry) to confirm the identity of the detected protein
Optimizing Western blot conditions for the Os11g0242900 antibody requires systematic method development:
Sample preparation optimization:
Test different extraction buffers to ensure efficient solubilization of the target protein
Include appropriate protease inhibitors to prevent degradation
Determine optimal protein concentration for loading (typically 20-50 μg for plant samples)
Blocking optimization:
Test different blocking agents (BSA, non-fat dry milk, commercial blockers)
Determine optimal blocking time (1-3 hours) and temperature (room temperature vs. 4°C)
Antibody dilution optimization:
Prepare a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000) to determine optimal antibody concentration
Test different incubation times (1 hour at room temperature vs. overnight at 4°C)
Signal detection optimization:
Compare different detection methods (colorimetric, chemiluminescent, fluorescent)
Adjust exposure times for optimal signal-to-noise ratio
Working with plant-specific antibodies presents unique challenges:
High background issues: Plant tissues contain numerous compounds that can interfere with antibody binding. Researchers should:
Include appropriate detergents in washing buffers
Extend washing steps to reduce non-specific binding
Consider using specialized blocking agents for plant samples
Protein extraction challenges: B3 domain proteins may be tightly associated with chromatin. Researchers should:
Test different extraction protocols, including those specifically designed for nuclear proteins
Consider sonication or nuclease treatment to release chromatin-bound proteins
Post-translational modifications: B3 domain proteins often undergo phosphorylation or other modifications that can affect antibody recognition. Researchers should:
Be aware that different developmental stages or stress conditions might alter protein modifications
Consider using phosphatase inhibitors during protein extraction if studying phosphorylation states
Tissue-specific expression: Expression of Os11g0242900 may vary across different rice tissues or developmental stages. Researchers should:
Include multiple tissue types in preliminary experiments
Consider developmental time courses to capture temporal expression patterns
The Os11g0242900 antibody described in the available information is a polyclonal antibody . When designing experiments, researchers should consider the comparative advantages and limitations:
Polyclonal Os11g0242900 Antibody:
Recognizes multiple epitopes on the target protein, potentially increasing detection sensitivity
May provide more robust detection across different experimental conditions
Could have higher batch-to-batch variability
May exhibit cross-reactivity with related B3 domain proteins
Monoclonal Alternatives (if/when available):
Would recognize a single epitope, potentially offering higher specificity
Would provide consistent performance across batches
Might have reduced sensitivity compared to polyclonal antibodies
Could be more susceptible to epitope masking due to protein folding or modifications
This comparison highlights the importance of careful antibody selection based on specific experimental requirements and validation processes.
For studying protein interactions involving Os11g0242900, researchers might consider:
Co-immunoprecipitation (Co-IP) approaches:
Use Os11g0242900 antibody to pull down the protein complex
Analyze precipitated proteins by mass spectrometry to identify interaction partners
Confirm specific interactions with Western blot using antibodies against suspected partners
Proximity-based labeling methods:
Express Os11g0242900 fused to a proximity labeling enzyme (BioID or APEX2)
Identify proteins in close proximity through biotinylation and subsequent purification
Yeast two-hybrid screening:
Use Os11g0242900 as bait to screen for interacting proteins
Validate interactions using Co-IP or in vitro binding assays
Chromatin immunoprecipitation (ChIP):
Use Os11g0242900 antibody to identify DNA binding sites
Perform sequential ChIP to identify co-binding with other transcription factors
Table 1: Experimental approaches for studying Os11g0242900 protein interactions
| Method | Key Advantages | Limitations | Appropriate Controls |
|---|---|---|---|
| Co-immunoprecipitation | Detects native interactions | May not detect weak/transient interactions | IgG control, knockout/knockdown samples |
| Proximity labeling | Captures transient interactions | Requires genetic modification | BioID/APEX2-only expression control |
| Yeast two-hybrid | High-throughput screening | Prone to false positives | Empty vector controls, autoactivation tests |
| ChIP-seq | Identifies direct DNA targets | Limited by antibody quality | Input DNA, IgG control |
Integrating protein-level data obtained using Os11g0242900 antibody with transcriptomic studies requires thoughtful experimental design:
Temporal alignment of samples:
Collect samples for both protein detection and RNA extraction from the same experimental batches
Ensure consistent developmental stages and environmental conditions
Multi-omics experimental design:
Combine Western blot or immunohistochemistry data with RNA-seq analysis
Consider ChIP-seq to identify direct transcriptional targets of Os11g0242900
Add proteomics data for broader protein network analysis
Data integration approaches:
Correlate protein abundance (Western blot) with transcript levels (qPCR/RNA-seq)
Map protein localization data (immunohistochemistry) to tissue-specific expression data
Overlay ChIP-seq binding sites with differentially expressed genes
Validation experiments:
Perform gene knockdown/knockout to confirm the regulatory relationship between Os11g0242900 and identified target genes
Use transient expression systems to validate direct regulation
Efficient protein extraction is critical for detecting Os11g0242900, particularly as B3 domain proteins often function as transcription factors with nuclear localization:
Protocol for nuclear protein extraction from rice tissues:
Tissue collection and preparation:
Harvest fresh rice tissue (leaves, roots, or reproductive organs)
Flash-freeze in liquid nitrogen and grind to a fine powder
Maintain cold chain throughout the extraction process
Nuclear isolation:
Homogenize in nuclear isolation buffer (NIB): 10 mM HEPES (pH 7.5), 10 mM KCl, 1.5 mM MgCl₂, 0.5 mM DTT, 0.1% Triton X-100
Add protease inhibitor cocktail and phosphatase inhibitors if studying phosphorylation
Filter through Miracloth or equivalent to remove debris
Centrifuge at 3,000g for 10 minutes at 4°C
Nuclear protein extraction:
Resuspend nuclear pellet in high-salt extraction buffer: 20 mM HEPES (pH 7.9), 420 mM NaCl, 1.5 mM MgCl₂, 0.2 mM EDTA, 25% glycerol
Incubate with gentle rotation for 30 minutes at 4°C
Centrifuge at 20,000g for 15 minutes at 4°C
Collect supernatant containing nuclear proteins
Sample preparation for Western blot:
Determine protein concentration using Bradford or BCA assay
Add SDS-PAGE loading buffer and denature at 95°C for 5 minutes
Load 20-50 μg of protein per lane for SDS-PAGE
When encountering challenges with the Os11g0242900 antibody in Western blot applications, consider the following troubleshooting strategies:
Table 2: Troubleshooting guide for Western blot using Os11g0242900 antibody
| Issue | Possible Causes | Suggested Solutions |
|---|---|---|
| No signal | Insufficient protein | Increase loading amount (50-100 μg) |
| Ineffective protein extraction | Try alternative extraction methods for nuclear proteins | |
| Primary antibody concentration too low | Increase antibody concentration (try 1:500 dilution) | |
| Protein degradation | Add fresh protease inhibitors, maintain cold chain | |
| High background | Insufficient blocking | Extend blocking time or try alternative blocking agents |
| Secondary antibody concentration too high | Dilute secondary antibody further | |
| Insufficient washing | Increase number and duration of wash steps | |
| Multiple bands | Cross-reactivity with related proteins | Perform pre-absorption with recombinant protein |
| Protein degradation | Add fresh protease inhibitors, maintain cold chain | |
| Post-translational modifications | Consider phosphatase treatment to confirm modification status | |
| Weak signal | Low expression of target protein | Enrich for nuclear fraction, increase exposure time |
| Inefficient transfer | Optimize transfer conditions for high MW proteins | |
| Antibody deterioration | Use fresh antibody aliquot, check storage conditions |
For researchers interested in cellular and subcellular localization of the Os11g0242900 protein in rice tissues, the following immunohistochemistry protocol is recommended:
Tissue fixation and embedding:
Fix fresh rice tissue segments in 4% paraformaldehyde in PBS overnight at 4°C
Dehydrate through an ethanol series (30%, 50%, 70%, 85%, 95%, 100%)
Clear with xylene and embed in paraffin
Section at 5-8 μm thickness
Slide preparation and antigen retrieval:
Deparaffinize sections in xylene and rehydrate through ethanol series
Perform heat-induced epitope retrieval using citrate buffer (pH 6.0)
Cool slowly to room temperature
Immunolabeling:
Block with 5% normal goat serum in PBS with 0.3% Triton X-100 for 1 hour
Incubate with Os11g0242900 antibody at 1:100 to 1:500 dilution overnight at 4°C
Wash thoroughly with PBS (3 × 10 minutes)
Apply fluorescent-conjugated secondary antibody (anti-rabbit) at 1:200 to 1:500 dilution for 1 hour at room temperature
Counterstain nuclei with DAPI (1 μg/ml) for 5 minutes
Mount with anti-fade mounting medium
Controls and validation:
Include negative controls (primary antibody omitted, pre-immune serum, or non-specific IgG)
Consider peptide competition assay by pre-incubating antibody with excess antigen
Compare localization pattern with GFP-tagged Os11g0242900 expression if available
The Os11g0242900 antibody can be effectively employed to investigate stress-induced changes in B3 domain protein expression and function:
Stress treatment experimental design:
Expose rice plants to various stresses (drought, salinity, temperature extremes, pathogen infection)
Collect samples at multiple time points during stress treatment
Include proper controls (non-stressed plants at the same developmental stage)
Protein expression analysis:
Use Western blot with Os11g0242900 antibody to quantify protein expression changes
Compare protein levels across different stress conditions and time points
Normalize to appropriate loading controls (ACTIN, TUBULIN, or other housekeeping proteins)
Chromatin immunoprecipitation (ChIP) analysis:
Perform ChIP using Os11g0242900 antibody to identify stress-responsive targets
Compare binding patterns under normal and stress conditions
Integrate with transcriptomic data to identify genes directly regulated by Os11g0242900
Post-translational modification studies:
Assess changes in protein modification status during stress responses
Use phospho-specific detection methods if phosphorylation is suspected
Compare modification patterns across different stress conditions
This approach would provide valuable insights into how this transcription factor contributes to stress adaptation mechanisms in rice, potentially informing breeding programs for stress-resistant varieties.
When conducting comparative studies across rice varieties using the Os11g0242900 antibody, researchers should consider:
Sequence conservation assessment:
Align Os11g0242900 sequences from different rice varieties
Identify regions of high conservation and variability
Verify that the epitope recognized by the antibody is conserved across varieties
Experimental design for comparative studies:
Include standardized positive controls in all experiments
Process all samples simultaneously using identical protocols
Consider running concentration gradients to ensure detection is in the linear range
Data normalization approaches:
Use multiple reference proteins for normalization
Consider total protein normalization methods (e.g., stain-free technology)
Validate normalization method across all varieties being compared
Validation with complementary techniques:
Confirm protein expression patterns with qRT-PCR for transcript levels
Consider recombinant expression with variety-specific protein sequences
Use mass spectrometry to confirm protein identity in different varieties
These considerations will help ensure that observed differences reflect genuine biological variation rather than technical artifacts or antibody affinity differences.
Several cutting-edge technologies could expand the applications of Os11g0242900 antibody:
Single-cell proteomics:
Adaptation of antibody-based detection for single-cell resolution
Integration with single-cell transcriptomics for multi-omics analysis
Development of highly sensitive detection methods for low-abundance transcription factors
Super-resolution microscopy:
Application of techniques like STORM or PALM for nanoscale localization
Dual-color imaging to study co-localization with interaction partners
Live-cell imaging with tagged antibody fragments
Antibody engineering:
Development of recombinant antibody fragments with enhanced specificity
Creation of bi-specific antibodies for co-detection of interaction partners
Generation of intrabodies for in vivo tracking of protein dynamics
High-throughput approaches:
Adaptation for antibody microarray technologies
Integration with automated immunoprecipitation systems
Development of multiplexed detection systems
These technological advances would provide researchers with more powerful tools to investigate the functions of Os11g0242900 in rice biology, potentially leading to improved crop varieties through enhanced understanding of gene regulation networks.
Research using the Os11g0242900 antibody could contribute to sustainable agriculture through:
Stress-resistant variety development:
Identification of varieties with optimized Os11g0242900 expression patterns
Understanding regulatory networks controlling stress adaptation
Development of molecular markers for breeding programs
Targeted genetic modification approaches:
Precise modulation of Os11g0242900 expression or activity
Engineering of improved transcription factor binding specificity
Creation of synthetic transcriptional regulators based on B3 domain architecture
Biomarker development:
Use of Os11g0242900 protein levels as indicators of stress response capacity
Development of field-deployable antibody-based detection systems
Creation of diagnostic tools for crop health monitoring