Os03g0693800 Antibody

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In Stock

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
Os03g0693800 antibody; LOC_Os03g48760 antibody; OsJ_011705 antibody; OSJNBb0021O11.13 antibody; Putative germin-like protein 3-4 antibody
Target Names
Os03g0693800
Uniprot No.

Target Background

Function
This antibody may play a role in plant defense mechanisms. While the active site is conserved, it is likely that this antibody does not exhibit oxalate oxidase activity.
Database Links

KEGG: osa:4333792

Protein Families
Germin family
Subcellular Location
Secreted, extracellular space, apoplast.

Q&A

What is Os03g0693800 and what is its functional significance in rice?

Os03g0693800 is a gene located on chromosome 3 of rice (Oryza sativa) genome. Similar to other rice genes like Os03g0285800, which encodes MAP Kinase, Os03g0693800 likely plays a role in signal transduction pathways in rice . Based on comparative analysis with similar rice genes, it may be involved in stress response mechanisms, particularly in defense against pathogens or environmental stressors. Understanding this gene's function requires multiple experimental approaches including antibody-based detection of its protein product.

How is the Os03g0693800 antibody typically produced and validated?

Os03g0693800 antibodies are typically produced using one of two approaches:

  • Polyclonal antibody production: The process involves:

    • Synthesizing peptide antigens representing specific regions of the Os03g0693800 protein

    • Immunizing animals (typically rabbits) with these peptides

    • Collecting and purifying the resulting antibodies

    • Validating specificity through Western blotting and ELISA

  • Monoclonal antibody production: This involves:

    • Developing hybridomas that produce antibodies against Os03g0693800 epitopes

    • Screening and selecting high-affinity antibody-producing clones

    • Expanding selected hybridomas for antibody production

    • Rigorous validation through multiple techniques

Validation typically includes Western blot analysis against rice protein extracts, immunoprecipitation assays, and ELISA tests to confirm specificity and sensitivity.

What is the expected cross-reactivity of Os03g0693800 antibody across different plant species?

Based on patterns observed with similar rice antibodies such as Os03g0285800 antibody, Os03g0693800 antibody would likely show varying degrees of cross-reactivity with homologous proteins in closely related grass species. The cross-reactivity profile can be represented as follows:

SpeciesExpected ReactivityNotes
Oryza sativaHighPrimary target species
Panicum virgatumModerate to HighClose evolutionary relationship
Setaria viridisModerate to HighClose evolutionary relationship
Zea maysModerateConserved protein domains
Sorghum bicolorModerateConserved protein domains
Triticum aestivumLow to ModerateMore distant relationship
Hordeum vulgareLow to ModerateMore distant relationship
Arabidopsis thalianaVery Low/NoneDistant relationship

Cross-reactivity should be experimentally verified for each species of interest, as sequence conservation in the epitope regions will determine actual reactivity patterns .

How can researchers distinguish between specific and non-specific binding when using Os03g0693800 antibody?

Distinguishing between specific and non-specific binding requires implementing multiple controls and validation steps:

  • Pre-immune serum control: Compare results with serum collected before immunization to identify background reactivity.

  • Peptide competition assay: Pre-incubate the antibody with excess immunizing peptide before application. Specific signals should be significantly reduced or eliminated.

  • Knockout/knockdown validation: If available, test the antibody in Os03g0693800 knockout or knockdown plant materials. Specific signals should be absent or significantly reduced.

  • Recombinant protein standards: Include purified recombinant Os03g0693800 protein as a positive control to confirm the correct molecular weight.

  • Cross-adsorption: Pre-adsorb the antibody with proteins from distantly related species to reduce non-specific binding.

  • Multiple antibody validation: When possible, use multiple antibodies targeting different epitopes of Os03g0693800 to confirm specificity of observed signals .

What are the optimal experimental conditions for detecting Os03g0693800 in different subcellular compartments?

Optimizing detection of Os03g0693800 in different subcellular compartments requires tailored approaches:

Subcellular CompartmentSample PreparationBuffer RecommendationsSpecial Considerations
NucleusNuclear isolation with sucrose gradient; Fix with 4% paraformaldehydeTBS with 0.1% Triton X-100; pH 7.4Pre-treat samples with DNase if DNA binding is suspected
CytoplasmGentle lysis with digitonin or hypotonic bufferPBS with 0.05% Tween-20; pH 7.2Centrifuge at 10,000g to remove organelles
Membrane-associatedMicrosomal fraction isolationPBS with 0.5% NP-40 or 1% Triton X-100Include phosphatase inhibitors if studying phosphorylated forms
ChloroplastChloroplast isolation on Percoll gradientBicine buffer pH 8.0 with 0.1% Triton X-100Protect from light during isolation

Based on studies of other rice proteins like OsWRKY53, which localizes to the nucleus, it's important to verify subcellular localization using both biochemical fractionation and immunofluorescence microscopy techniques .

How does phosphorylation status affect Os03g0693800 antibody recognition?

Many plant proteins, especially those involved in signaling pathways like MAP kinases, undergo post-translational modifications including phosphorylation. For Os03g0693800 antibody:

  • Phosphorylation-specific recognition: If the antibody was raised against a phosphorylated epitope, recognition will depend on the phosphorylation status of the target protein.

  • Epitope masking: Phosphorylation near the antibody recognition site may alter protein conformation, potentially masking the epitope and reducing antibody binding.

  • Experimental approaches to address this issue:

    • Use phosphatase treatment of protein samples to determine if recognition is phosphorylation-dependent

    • Compare recognition patterns in samples treated with phosphatase inhibitors versus untreated samples

    • Employ phosphorylation-specific antibodies alongside total protein antibodies to distinguish phosphorylated forms

  • Quantitation considerations: When quantifying Os03g0693800 protein levels, researchers should consider whether their antibody recognizes all forms of the protein or only specific phosphorylation states .

What is the optimal protocol for using Os03g0693800 antibody in immunoprecipitation experiments?

Based on protocols developed for similar plant protein antibodies, the following procedure is recommended for immunoprecipitation using Os03g0693800 antibody:

  • Sample preparation:

    • Grind 2-5g of fresh rice tissue in liquid nitrogen

    • Extract proteins in IP buffer (50mM Tris-HCl pH 7.5, 150mM NaCl, 0.5% NP-40, 1mM EDTA, protease inhibitor cocktail)

    • Clarify by centrifugation at 14,000g for 15 min at 4°C

  • Pre-clearing:

    • Incubate lysate with 50μl Protein A/G beads for 1 hour at 4°C

    • Remove beads by centrifugation

  • Immunoprecipitation:

    • Add 2-5μg Os03g0693800 antibody to pre-cleared lysate

    • Incubate overnight at 4°C with gentle rotation

    • Add 50μl fresh Protein A/G beads

    • Incubate for 3 hours at 4°C

    • Wash beads 4 times with wash buffer (IP buffer with 0.1% NP-40)

  • Elution and analysis:

    • Elute proteins by boiling in SDS sample buffer

    • Analyze by SDS-PAGE and Western blotting

  • Controls:

    • Include a negative control using pre-immune serum or non-specific IgG

    • Include a positive control with a known interacting protein if available

How can researchers troubleshoot weak or absent signals when using Os03g0693800 antibody in Western blotting?

When encountering weak or absent signals, implement this systematic troubleshooting approach:

  • Sample preparation issues:

    • Verify protein extraction efficiency using total protein stains

    • Check for protein degradation by using fresh extraction buffers with protease inhibitors

    • Determine if the target protein is low-abundance and needs enrichment

  • Transfer problems:

    • Optimize transfer conditions for proteins of the expected molecular weight

    • Verify transfer efficiency using reversible staining of the membrane

    • Consider using different membrane types (PVDF vs. nitrocellulose)

  • Antibody-related issues:

    • Test different antibody concentrations (typically 0.5-5 μg/ml)

    • Extend primary antibody incubation time (overnight at 4°C)

    • Try different blocking agents (BSA vs. non-fat milk)

    • Verify antibody activity with a dot blot of the immunizing peptide

  • Detection limitations:

    • Use more sensitive detection methods (enhance chemiluminescence systems)

    • Try signal amplification systems like biotin-streptavidin

    • Consider using fluorescently-labeled secondary antibodies

  • Experimental modifications:

    • Reduce washing stringency

    • Add 0.1% SDS to the antibody dilution buffer to enhance accessibility

    • Test different extraction buffers to improve protein solubilization

What is the recommended protocol for using Os03g0693800 antibody in immunohistochemistry or immunofluorescence of rice tissues?

For optimal results in immunohistochemistry or immunofluorescence applications:

  • Tissue fixation and embedding:

    • Fix fresh rice tissues in 4% paraformaldehyde for 12-24 hours

    • Dehydrate through an ethanol series (30%, 50%, 70%, 90%, 100%)

    • Clear with xylene and embed in paraffin

    • Section at 5-8μm thickness using a microtome

  • Antigen retrieval:

    • Deparaffinize and rehydrate sections

    • Perform heat-induced epitope retrieval in citrate buffer (pH 6.0) for 20 minutes

    • Cool slowly to room temperature

  • Immunostaining procedure:

    • Block with 3% BSA in PBS for 1 hour at room temperature

    • Incubate with Os03g0693800 antibody (1:100-1:500 dilution) overnight at 4°C

    • Wash 3 times with PBS containing 0.1% Tween-20

    • Incubate with fluorophore-conjugated secondary antibody (1:500) for 1 hour

    • Counterstain nuclei with DAPI (1μg/ml for 5 minutes)

    • Mount with anti-fade mounting medium

  • Controls and validation:

    • Include a negative control omitting primary antibody

    • Use pre-immune serum as an additional control

    • Run parallel sections with known marker antibodies for co-localization studies

  • Imaging parameters:

    • Use confocal microscopy for optimal resolution

    • Capture Z-stacks for 3D reconstruction

    • Apply consistent imaging parameters for comparative analysis

How should researchers quantify and statistically analyze Western blot data using Os03g0693800 antibody?

Proper quantification of Western blot data requires rigorous methodology:

  • Experimental design for quantitation:

    • Include biological replicates (minimum n=3)

    • Run technical replicates of each sample

    • Include a concentration gradient of a reference sample for calibration

  • Loading controls:

    • Use housekeeping proteins (e.g., actin, tubulin) as internal controls

    • Consider total protein normalization using stain-free technology

    • Verify linear range of detection for both target and loading control

  • Image acquisition:

    • Capture images using a digital imaging system with linear range of detection

    • Avoid saturated signals

    • Use consistent exposure settings across replicates

  • Quantification procedure:

    • Measure band intensities using image analysis software

    • Subtract background using rolling ball algorithm

    • Normalize to loading controls

  • Statistical analysis:

    • Apply appropriate statistical tests (t-test, ANOVA)

    • Report both raw and normalized data

    • Include error bars and p-values in graphical representations

Analysis StepRecommended MethodAlternative Approach
Image AcquisitionCCD camera-based systemFluorescent secondary antibodies
SoftwareImageJ/FijiCommercial densitometry software
Background SubtractionRolling ball radius 50 pixelsLocal background method
NormalizationRatio to reference proteinTotal protein normalization
Statistical TestOne-way ANOVA with Tukey's post-hocStudent's t-test (for two conditions)

When analyzing Os03g0693800 expression across different treatments or genotypes, present data as fold change relative to control conditions with appropriate statistical significance indicators .

How can Os03g0693800 antibody be used to study protein-protein interactions in rice signaling pathways?

Investigating protein-protein interactions involving Os03g0693800 can be approached through multiple complementary techniques:

  • Co-immunoprecipitation (Co-IP):

    • Use Os03g0693800 antibody to immunoprecipitate the protein complex

    • Analyze co-precipitated proteins by mass spectrometry

    • Validate interactions using reverse Co-IP with antibodies against interaction partners

    • Apply gentle crosslinking with DSP or formaldehyde to capture transient interactions

  • Proximity Ligation Assay (PLA):

    • Combine Os03g0693800 antibody with antibody against putative interaction partner

    • Use species-specific PLA probes to generate fluorescent signals only when proteins are in close proximity

    • Quantify interaction signals across different cellular compartments or conditions

  • Bimolecular Fluorescence Complementation (BiFC) validation:

    • Complement antibody studies with BiFC to visualize interactions in vivo

    • Express Os03g0693800 and candidate interactors as fusion proteins with split fluorescent protein fragments

    • Analyze reconstituted fluorescence signal indicating protein-protein interaction

  • Analytical techniques:

    • Use size exclusion chromatography followed by immunoblotting to detect Os03g0693800 in protein complexes

    • Apply Blue Native PAGE to preserve native protein complexes before immunodetection

Drawing parallels with studies on rice WRKY transcription factors and MAP kinases, Os03g0693800 may interact with components of stress signaling pathways, potentially including other kinases or transcription factors involved in defense responses .

What approaches should be used to correlate Os03g0693800 protein levels with gene expression data?

Correlating protein abundance with transcript levels requires careful experimental design and analysis:

  • Synchronized sampling:

    • Collect samples for both protein and RNA analysis from the same tissue

    • Process samples simultaneously to minimize variation

    • Include multiple biological replicates (minimum n=4)

  • Quantitative methods for protein detection:

    • Use quantitative Western blotting with Os03g0693800 antibody

    • Consider using fluorescently-labeled secondary antibodies for wider linear range

    • Include calibration standards of known concentration

    • Calculate absolute protein quantities where possible

  • Gene expression analysis:

    • Perform RT-qPCR for targeted gene expression analysis

    • Use RNA-Seq for genome-wide expression profiling

    • Normalize transcript data appropriately using validated reference genes

  • Correlation analysis:

    • Calculate Pearson or Spearman correlation coefficients between protein and transcript levels

    • Generate scatter plots with regression lines

    • Perform time-lag analysis to account for delays between transcription and translation

  • Integrated data visualization:

    • Create heat maps showing both protein and transcript levels across conditions

    • Use statistical approaches to identify discordant patterns indicating post-transcriptional regulation

Based on studies of other rice proteins involved in stress signaling, protein abundance may not always directly correlate with transcript levels due to post-transcriptional regulation mechanisms .

How can Os03g0693800 antibody be used in chromatin immunoprecipitation (ChIP) experiments if the protein interacts with DNA?

If Os03g0693800 functions similarly to transcription factors like OsWRKY53 that interact with DNA, the following ChIP protocol is recommended:

  • Crosslinking and chromatin preparation:

    • Crosslink fresh rice tissue with 1% formaldehyde for 10 minutes

    • Quench with 125mM glycine

    • Extract nuclei and sonicate to generate DNA fragments of 200-500bp

    • Verify fragmentation by agarose gel electrophoresis

  • Immunoprecipitation:

    • Pre-clear chromatin with Protein A/G beads

    • Incubate cleared chromatin with Os03g0693800 antibody overnight at 4°C

    • Add fresh Protein A/G beads and incubate for 3 hours

    • Wash extensively with increasingly stringent buffers

    • Elute protein-DNA complexes and reverse crosslinks

  • DNA analysis:

    • Purify DNA using phenol-chloroform extraction or commercial kits

    • Quantify enrichment of target sequences by qPCR

    • For unbiased analysis, perform ChIP-seq

  • Controls and validation:

    • Include input chromatin control (non-immunoprecipitated)

    • Use pre-immune serum or IgG as a negative control

    • Include a positive control targeting known DNA-binding proteins

    • Validate enriched regions using electrophoretic mobility shift assay (EMSA)

  • Data analysis for ChIP-seq:

    • Align reads to reference genome

    • Call peaks using MACS2 or similar software

    • Perform motif discovery analysis

    • Correlate binding sites with gene expression data

This approach would reveal the DNA-binding properties of Os03g0693800 and identify its target genes in rice .

How can researchers develop and validate a quantitative ELISA assay using Os03g0693800 antibody?

Development of a quantitative ELISA requires systematic optimization and validation:

  • Assay format selection:

    • Direct ELISA: Immobilize sample proteins directly on plate

    • Sandwich ELISA: Use capture and detection antibodies (requires two different Os03g0693800 antibodies)

    • Competitive ELISA: Compete sample antigen with labeled standard

  • Protocol optimization:

    • Coating buffer optimization (carbonate buffer pH 9.6 or PBS pH 7.4)

    • Blocking agent selection (1-5% BSA, non-fat milk, or commercial blockers)

    • Antibody concentration titration (typically 0.1-10 μg/ml)

    • Incubation time and temperature optimization

    • Washing stringency determination

  • Standard curve preparation:

    • Generate recombinant Os03g0693800 protein or synthetic peptide standards

    • Prepare 7-8 dilution points covering 2-3 logs of concentration

    • Include blank controls

  • Validation parameters:

    • Linearity: R² > 0.98 for standard curve

    • Sensitivity: Determine limit of detection (LOD) and limit of quantification (LOQ)

    • Precision: Intra-assay CV < 10%, inter-assay CV < 15%

    • Accuracy: Recovery of spiked samples 80-120%

    • Specificity: Test cross-reactivity with related proteins

Validation ParameterAcceptance CriteriaDetermination Method
LinearityR² > 0.98Linear regression of standard curve
LODSignal > blank + 3SDMeasure replicates of blank sample
LOQSignal > blank + 10SDMeasure replicates of blank sample
PrecisionCV < 10% (intra-assay)10 replicates of 3 samples
ReproducibilityCV < 15% (inter-assay)Same samples across 3 days
Recovery80-120%Spike known amounts into sample matrix
  • Sample matrix effects:

    • Test for interference from plant extract components

    • Optimize sample dilution to minimize matrix effects

    • Consider sample pre-treatment methods if necessary

What considerations are important when using Os03g0693800 antibody in high-throughput screening applications?

Adapting Os03g0693800 antibody for high-throughput applications requires specific optimizations:

  • Assay miniaturization:

    • Scale down reaction volumes (25-50μl for 384-well plates)

    • Optimize reagent concentrations for smaller volumes

    • Validate performance compared to standard format

  • Automation compatibility:

    • Select buffers and reagents compatible with liquid handling systems

    • Minimize plate-to-plate and edge effects

    • Develop robust protocols with minimal manual interventions

  • Quality control measures:

    • Include position controls on each plate (high, medium, low signals)

    • Calculate Z'-factor (>0.5 indicates excellent assay quality)

    • Monitor signal drift across plates and screening time

  • Data normalization strategies:

    • Apply percent of control normalization

    • Consider plate-specific normalization methods

    • Develop algorithms to identify and handle outliers

  • Screening strategy considerations:

    • Primary screen: Use single concentration of compounds

    • Secondary validation: Dose-response curve with validated hits

    • Counter-screen: Rule out false positives targeting the assay system

  • Assay stability:

    • Assess stability of antibody and detection reagents over time

    • Determine freeze-thaw stability of prepared reagents

    • Develop protocols for batch preparation of reagents

How should researchers integrate Os03g0693800 antibody-based data with other omics approaches?

Multi-omics integration of antibody-based data requires systematic analytical approaches:

  • Data collection and normalization:

    • Collect protein quantification data using Os03g0693800 antibody

    • Obtain transcriptomics data (RNA-Seq or microarray)

    • If relevant, include metabolomics and/or phosphoproteomics data

    • Apply appropriate normalization methods for each data type

  • Correlation analysis:

    • Calculate correlation coefficients between protein levels and transcript abundance

    • Identify concordant and discordant patterns

    • Apply time-lag models to account for biological delays between processes

  • Pathway mapping:

    • Map Os03g0693800 and its interacting partners to known pathways

    • Use tools like KEGG, MapMan, or RiceCyc for rice-specific pathway analysis

    • Identify enriched biological processes through Gene Ontology analysis

  • Network analysis:

    • Construct protein-protein interaction networks

    • Integrate transcriptional regulatory networks

    • Apply weighted correlation network analysis (WGCNA)

    • Identify network modules associated with specific conditions

  • Visualization approaches:

    • Create multi-layer network visualizations

    • Develop integrated heatmaps showing multiple data types

    • Use dimensionality reduction techniques (PCA, t-SNE) for data exploration

  • Functional validation:

    • Design targeted experiments to validate predictions from integrated analysis

    • Use genetic approaches (CRISPR/Cas9, RNAi) to manipulate Os03g0693800 levels

    • Apply perturbation analysis to identify key regulatory nodes

Drawing parallels with studies on plant stress response pathways, this integrated approach would position Os03g0693800 within rice signaling networks and provide insights into its functional role and regulation .

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