Os02g0644500 Antibody is a polyclonal antibody developed by PhytoAB to target the Os02g0644500 protein (UniProt ID: Q6H657) in Oryza sativa (rice). It is used for detecting and studying this protein in plant research, particularly in energy crops and herbaceous species .
The antibody detects Os02g0644500 homologs in:
Monocots: Rice (Oryza sativa), green bristlegrass (Setaria viridis), maize (Zea mays), sorghum (Sorghum bicolor), switchgrass (Panicum virgatum).
Western Blot (WB): Dilution range 1:200–1:1000.
Immunoprecipitation (IP): 0.5–4.0 μg per 1.0–3.0 mg lysate .
| Assay Type | Target Reactivity | Non-Target Cross-Reactivity |
|---|---|---|
| WB | Strong signal in rice lysates | Undetected in human samples |
| IP | Confirmed in Panicum virgatum extracts | None observed |
No peer-reviewed publications directly citing this antibody were found in the provided sources.
Cross-reactivity with non-monocot species remains unverified .
While Os02g0644500 Antibody is specialized for plant studies, advances in antibody engineering (e.g., LIBRA-seq for cross-reactive antibodies , recombinant subclass switching ) highlight methodologies that could enhance its utility. For example:
Phage Display: Could refine epitope specificity for related plant proteins .
Structural Optimization: Fc region modifications might improve stability in plant lysates .
Functional Studies: Link Os02g0644500 to stress responses or growth pathways in crops.
Technical Expansion: Combine with CRISPR-edited plant models to validate protein roles.
Os02g0607500 (UniProt ID: A3A8W6) is a protein expressed in Oryza sativa subsp. japonica with essential functions in rice development and stress response pathways. The significance of this protein lies in its involvement in key cellular processes that affect rice growth, development, and adaptation to environmental stressors. Understanding this protein's function through antibody-based detection methods provides valuable insights into rice biology, potentially contributing to crop improvement strategies.
The antibody against Os02g0607500 enables researchers to detect, quantify, and localize this protein in various experimental contexts, making it an essential tool for investigating rice cellular mechanisms . For optimal experimental design, researchers should consider the protein's expression patterns across different tissues and developmental stages when planning their studies.
For maximum stability and retention of binding activity, Os02g0607500 Antibody should be stored at -20°C for long-term storage and at 4°C for short-term use (1-2 weeks maximum). The antibody is typically shipped with recommendations for proper handling to maintain its functional properties . Researchers should avoid repeated freeze-thaw cycles as these can significantly degrade antibody performance.
A methodological approach to antibody storage involves:
Upon receipt, aliquoting the antibody into smaller volumes based on experimental needs
Using sterile conditions during handling to prevent contamination
Recording freeze-thaw events for each aliquot
Validating antibody performance after extended storage periods
Proper storage practices significantly impact experimental reproducibility and reliability of results, particularly in sensitive applications like immunohistochemistry and immunoprecipitation.
Implementing proper controls is essential for validating results obtained with Os02g0607500 Antibody. A comprehensive control strategy should include:
Positive control: Tissues or cell extracts known to express Os02g0607500 protein
Negative control: Tissues or samples where the target protein is not expressed or knocked out
Isotype control: A non-specific antibody of the same isotype to identify non-specific binding
Blocking peptide control: Pre-incubation of the antibody with its specific antigen to confirm binding specificity
These controls help distinguish between genuine signals and background noise, particularly important when working with plant tissues that may contain compounds interfering with antibody binding or detection systems . When analyzing results, comparing signal intensities between experimental samples and controls allows for more accurate interpretation of protein expression patterns.
For Western blot applications with Os02g0607500 Antibody, follow this optimized methodological approach:
Sample preparation: Extract proteins from rice tissues using an appropriate buffer containing protease inhibitors
Gel electrophoresis: Separate 20-50 μg of total protein on an 8-12% SDS-PAGE gel
Transfer: Transfer proteins to a PVDF or nitrocellulose membrane (0.45 μm pore size)
Blocking: Block the membrane with 5% non-fat dry milk or 3-5% BSA in TBST for 1 hour at room temperature
Primary antibody incubation: Dilute Os02g0607500 Antibody at 1:500 to 1:2000 in blocking buffer and incubate overnight at 4°C
Washing: Wash membrane 3-4 times with TBST, 5 minutes each
Secondary antibody: Incubate with HRP-conjugated secondary antibody at 1:5000 to 1:10000 dilution for 1 hour at room temperature
Detection: Develop using enhanced chemiluminescence and document the results
When adapting this protocol, researchers should optimize antibody dilutions based on the expression level of Os02g0607500 in their specific samples . Additionally, sample preparation methods may need modification depending on the rice tissue type being analyzed, as protein extraction efficiency can vary significantly between different plant tissues.
Immunohistochemistry (IHC) with plant tissues presents unique challenges that require specialized approaches:
Tissue fixation: Fix rice tissues in 4% paraformaldehyde for 12-24 hours, with vacuum infiltration to ensure complete penetration
Tissue processing: Dehydrate, clear, and embed in paraffin or prepare for cryo-sectioning
Sectioning: Cut 5-10 μm sections and mount on positively charged slides
Deparaffinization and rehydration: For paraffin sections
Antigen retrieval: Perform heat-induced epitope retrieval using citrate buffer (pH 6.0)
Blocking: Block with 3-5% BSA or normal serum in PBS with 0.1% Triton X-100 for 1 hour
Primary antibody incubation: Apply Os02g0607500 Antibody at 1:100 to 1:500 dilution overnight at 4°C
Washing: Wash 3 times with PBS containing 0.1% Tween-20
Secondary antibody: Apply fluorescently-labeled or HRP-conjugated secondary antibody
Detection: For HRP-conjugated antibodies, develop with DAB substrate; for fluorescent antibodies, proceed directly to mounting
Counterstaining and mounting: Use DAPI for nuclear visualization and appropriate mounting medium
This protocol should be optimized for specific rice tissues, with particular attention to antigen retrieval methods, as plant cell walls can impede antibody access . The inclusion of tissue-specific positive controls is crucial for validating the specificity of immunostaining patterns observed.
Co-immunoprecipitation (Co-IP) with Os02g0607500 Antibody requires careful optimization to preserve protein-protein interactions:
Sample preparation: Extract proteins under non-denaturing conditions using a buffer containing:
50 mM Tris-HCl (pH 7.5)
150 mM NaCl
0.5% NP-40 or 1% Triton X-100
1 mM EDTA
Protease inhibitor cocktail
Phosphatase inhibitors (if phosphorylated interactions are relevant)
Pre-clearing: Incubate lysate with Protein A/G beads for 1 hour at 4°C to reduce non-specific binding
Immunoprecipitation:
Incubate 2-5 μg of Os02g0607500 Antibody with 500-1000 μg of pre-cleared lysate overnight at 4°C
Add 30-50 μl of Protein A/G beads and incubate for 2-4 hours
Collect beads by centrifugation and wash 4-5 times with lysis buffer
Elution and analysis: Elute bound proteins with SDS sample buffer and analyze by Western blotting
The success of Co-IP experiments heavily depends on the quality of the antibody and its ability to recognize the native protein conformation . Researchers should validate their Co-IP results using reciprocal experiments where possible, pulling down with antibodies against suspected interaction partners and blotting for Os02g0607500 protein.
When encountering weak or no signal in Western blots, systematically troubleshoot using this methodological approach:
Verify protein extraction efficiency:
Use Coomassie staining of a parallel gel to confirm protein extraction
Validate extraction with housekeeping protein antibodies (e.g., actin, tubulin)
Optimize protein loading:
Increase protein amount (50-100 μg)
Verify transfer efficiency with reversible stains (Ponceau S)
Adjust antibody conditions:
Decrease antibody dilution (e.g., from 1:2000 to 1:500)
Extend primary antibody incubation to 48 hours at 4°C
Try different blocking agents (milk vs. BSA)
Modify detection parameters:
Increase exposure time
Use more sensitive detection substrates
Try signal enhancement systems
Verify protein expression conditions:
Confirm your experimental conditions induce Os02g0607500 expression
Consider developmental stage and tissue-specific expression patterns
This systematic approach allows researchers to identify the specific factor limiting signal detection . Additionally, if the protein undergoes post-translational modifications, these might affect antibody recognition, warranting analysis under different experimental conditions.
Cross-reactivity presents a significant challenge when working with plant antibodies. Address this methodically:
Increase washing stringency:
Use higher detergent concentrations (0.1-0.3% Tween-20)
Extend washing times and increase the number of washes
Consider higher salt concentration in washing buffers (up to 500 mM NaCl)
Optimize blocking conditions:
Test alternative blocking agents (different BSA concentrations, casein, commercial blockers)
Extend blocking time to 2-3 hours or overnight
Adjust antibody parameters:
Increase antibody dilution
Reduce incubation temperature to 4°C
Pre-absorb antibody with proteins from negative control samples
Validate specificity:
Use knockout or knockdown plant materials as negative controls
Perform peptide competition assays
Compare results with alternative antibodies targeting the same protein
Consider genetic diversity:
Verify the sequence homology between your rice subspecies and the antibody target
Cross-reactivity analysis should be documented thoroughly, as it provides valuable information about potential paralogs or related proteins in your experimental system . When publishing results, transparency about cross-reactivity observations helps advance the field's understanding of antibody applications in plant research.
Quantitative analysis of Western blot data requires rigorous methodological approaches:
Image acquisition:
Capture images within the linear range of detection
Avoid saturation of signal
Use a digital imaging system with broad dynamic range
Image analysis software:
Use specialized software (ImageJ, Image Studio, etc.)
Define regions of interest consistently across all samples
Subtract background using local background correction methods
Normalization strategy:
Normalize target protein signal to loading controls (actin, GAPDH, total protein)
Verify that loading controls are not affected by your experimental conditions
Consider using total protein normalization methods (Stain-Free gels, Ponceau S)
Statistical analysis:
Perform experiments with biological replicates (minimum n=3)
Apply appropriate statistical tests based on data distribution
Report both normalized values and statistical significance
Data presentation:
Present both representative blots and quantification graphs
Include error bars representing standard deviation or standard error
Indicate statistically significant differences between conditions
Adapting Os02g0607500 Antibody for ChIP applications requires specialized methodologies for plant chromatin:
Cross-linking and chromatin preparation:
Cross-link fresh rice tissues with 1% formaldehyde for 10-15 minutes under vacuum
Quench with 0.125 M glycine
Extract nuclei using appropriate buffers (containing detergents and protease inhibitors)
Sonicate chromatin to achieve fragments of 200-500 bp
Immunoprecipitation:
Pre-clear chromatin with Protein A/G beads
Incubate 2-5 μg of Os02g0607500 Antibody with chromatin overnight at 4°C
Add Protein A/G beads and incubate for 2-4 hours
Perform stringent washes to remove non-specific binding
Reverse cross-linking and DNA purification:
Reverse cross-links at 65°C overnight
Treat with proteinase K
Purify DNA using column-based methods
Analysis:
Perform qPCR with primers targeting candidate regions
For genome-wide analysis, prepare libraries for ChIP-seq
When implementing ChIP with Os02g0607500 Antibody, researchers should first validate that the protein has DNA-binding potential or chromatin association properties . The specificity of the antibody for the native, cross-linked protein should be verified before extensive ChIP experiments are conducted.
Proximity ligation assay is an advanced technique for visualizing protein-protein interactions in situ. When adapting PLA for Os02g0607500 in rice tissues:
Tissue preparation:
Fix tissues using paraformaldehyde with vacuum infiltration
Prepare thin sections (5-8 μm) to ensure antibody penetration
Perform antigen retrieval optimized for plant tissues
Primary antibody combination:
Use Os02g0607500 Antibody with another antibody targeting the suspected interaction partner
Ensure antibodies are raised in different species
Titrate antibody concentrations (typically 1:50 to 1:200)
PLA-specific steps:
Apply PLA probes specific to the primary antibodies' species
Perform ligation and amplification following the PLA kit protocol
Adapt incubation times for plant tissues (may require extension)
Controls:
Single primary antibody controls
Negative controls using antibodies against non-interacting proteins
Positive controls using known interacting proteins in rice
Analysis:
Quantify PLA signals per cell or tissue area
Compare signal distribution with subcellular markers
The high sensitivity of PLA makes it particularly useful for detecting low-abundance proteins or transient interactions . When applying PLA to plant tissues, cell wall autofluorescence should be considered during imaging and analysis, potentially requiring additional background subtraction methods.
Super-resolution microscopy overcomes the diffraction limit of conventional microscopy, offering nanoscale insights into protein localization:
Sample preparation optimization:
Use thinner sections (4-5 μm) or isolated cells
Optimize fixation to preserve ultrastructure (e.g., mix of paraformaldehyde and glutaraldehyde)
Consider tissue clearing techniques for deeper imaging
Immunolabeling strategy:
Use higher dilutions of Os02g0607500 Antibody (1:200 to 1:1000)
Select secondary antibodies compatible with super-resolution techniques
For STORM/PALM: Use photoswitchable fluorophores
For STED: Use fluorophores with appropriate depletion properties
Imaging parameters:
Optimize laser power and exposure to minimize photobleaching
Adjust pixel size according to the resolution limit of your system
Collect z-stacks for 3D reconstruction
Multi-channel imaging considerations:
Use sequential imaging to prevent bleed-through
Include markers for subcellular compartments
Consider spectral unmixing for closely overlapping fluorophores
Data analysis:
Apply appropriate reconstruction algorithms
Perform co-localization analysis at super-resolution scale
Quantify spatial relationships between proteins
Super-resolution approaches provide unprecedented insights into the spatial organization of Os02g0607500 within cellular compartments . When designing these experiments, researchers should consider the density of target proteins, as overcrowded labeling can compromise resolution in techniques like STORM and PALM.
A comprehensive developmental expression study requires careful experimental design:
| Developmental Stage | Sampling Strategy | Tissue Types | Controls Required |
|---|---|---|---|
| Germination | Daily sampling from day 0-7 | Whole seedlings, separated roots/shoots | Germination rate monitoring |
| Vegetative Growth | Weekly intervals | Leaves, stems, roots | Morphological staging |
| Reproductive Phase | Key transitional points | Inflorescence, developing panicles | Parallel field/controlled conditions |
| Grain Development | 5 stages from fertilization to maturity | Developing seeds, seed compartments | Weight/size measurements |
| Stress Response | Before, during, after stress application | Stress-relevant tissues | Non-stressed controls |
For each stage, implement this methodological approach:
Sample processing standardization:
Process all samples with identical protocols
Extract proteins with techniques optimized for each tissue type
Quantify total protein and load equal amounts
Detection method:
Western blotting for quantitative comparison
Immunohistochemistry for spatial localization
qRT-PCR for transcript correlation
Normalization strategy:
Use stage-appropriate reference proteins
Apply total protein normalization where possible
Consider multiple normalization methods for validation
Replication and validation:
Minimum three biological replicates
Technical replicates within each biological sample
Validation with alternative methods where possible
This systematic approach allows researchers to generate a comprehensive atlas of Os02g0607500 expression across rice development . When interpreting developmental expression patterns, correlate protein levels with known developmental markers and physiological transitions to establish functional relevance.
Stress response studies require carefully controlled experimental designs:
Abiotic stress experimental design:
Define stress parameters precisely (e.g., drought: % field capacity, duration)
Apply stress gradually where appropriate
Include recovery phase assessment
Sample at multiple timepoints (early, mid, late response)
Biotic stress considerations:
Use well-characterized pathogen strains
Standardize inoculation methods
Include mock-inoculated controls
Sample both infected tissues and systemic tissues
Multi-stress interactions:
Design factorial experiments for stress combinations
Control individual stress parameters independently
Consider sequence and timing of stress application
Data collection matrix:
| Stress Type | Timepoints | Tissues | Measurements |
|---|---|---|---|
| Drought | 0, 6h, 24h, 3d, 7d, recovery | Leaves, roots | Os02g0607500 levels, water status markers |
| Salt | 0, 2h, 6h, 24h, 3d, 7d | Roots, shoots, meristems | Os02g0607500 levels, Na⁺/K⁺ ratios |
| Cold | 0, 1h, 6h, 24h, 3d | Leaves, crown tissue | Os02g0607500 levels, cold-responsive genes |
| Pathogens | 0, 12h, 24h, 3d, 7d | Infected tissue, adjacent tissue | Os02g0607500 levels, defense markers |
Correlation with physiological parameters:
Measure stress-related physiological parameters
Correlate protein expression with stress intensity
Document visible phenotypic changes
This methodological framework enables researchers to establish causal relationships between stress conditions and Os02g0607500 protein dynamics . When interpreting stress response data, temporal patterns often provide insights into whether the protein plays roles in early signaling or later adaptation mechanisms.
Comparative studies across genetic variants require additional methodological considerations:
Sequence verification:
Verify Os02g0607500 sequence conservation across studied subspecies
Identify amino acid variations that might affect antibody recognition
Predict epitope conservation using bioinformatic approaches
Experimental controls:
Include common reference subspecies/cultivars
Use null mutants or knockdown lines where available
Consider heterologous expression systems for validation
Standardized growth conditions:
Maintain identical environmental parameters
Synchronize developmental staging
Document any phenotypic differences
Quantification adjustments:
Implement spike-in controls for absolute quantification
Consider dual antibody approaches if epitope variation exists
Validate with orthogonal methods (mass spectrometry)
Data normalization strategy:
Select reference genes/proteins with verified stability across subspecies
Use multiple normalization approaches
Apply correction factors if systematic differences are identified
This systematic approach allows researchers to distinguish between true biological variation and technical artifacts in comparative studies . When interpreting comparative data, researchers should consider evolutionary relationships between subspecies and functional constraints on protein divergence to contextualize observed differences.