Os03g0804700 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
Os03g0804700 antibody; LOC_Os03g59010 antibody; OsJ_012452 antibody; OSJNBb0015I02.10 antibody; Germin-like protein 3-8 antibody
Target Names
Os03g0804700
Uniprot No.

Target Background

Function
This antibody targets a protein that may play a role in plant defense mechanisms. While the active site is conserved, it is unlikely to possess oxalate oxidase activity.
Database Links

KEGG: osa:4334489

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

Q&A

What is Os03g0804700 and why is it important for rice research?

Os03g0804700 is a gene that encodes Germin-like protein 3-8 in Oryza sativa subsp. japonica (rice). This protein belongs to the Germin-like protein family, which plays crucial roles in plant defense mechanisms. According to annotation data, while the active site is conserved, it likely does not possess oxalate oxidase activity . The antibody against this protein is an important tool for studying plant stress responses, particularly in rice varieties. Research indicates that Germin-like proteins are involved in responding to both biotic and abiotic stresses, making this antibody valuable for investigating stress tolerance mechanisms in rice .

What are the primary applications of Os03g0804700 Antibody in rice research?

Os03g0804700 Antibody is primarily used in the following research applications:

  • Gene expression analysis: Detecting protein levels in response to various stressors

  • Protein localization studies: Determining subcellular localization using immunofluorescence

  • Protein-protein interaction studies: Identifying binding partners through co-immunoprecipitation

  • Functional characterization: Validating gene function in transgenic studies

The antibody is particularly valuable in transcriptomic studies investigating salinity tolerance mechanisms in rice, where it can help correlate gene expression data with protein levels .

How does the specificity of Os03g0804700 Antibody compare to other plant protein antibodies?

The specificity of Os03g0804700 Antibody is determined by its recognition of unique epitopes in the Germin-like protein 3-8. Based on available information, this antibody demonstrates high specificity for its target protein in rice samples. As with other plant protein antibodies, validation is essential since plant proteins often exist in families with high sequence homology.

When comparing with antibodies against other plant proteins such as the OsNAC6 protein (Os03g0815100), careful epitope selection is critical for specificity . The antibody is raised against synthetic peptides from specific regions (typically N-terminal sections) to ensure minimal cross-reactivity with related proteins.

What are the optimal experimental conditions for using Os03g0804700 Antibody in Western blotting?

For optimal Western blotting results with Os03g0804700 Antibody:

ParameterRecommended ConditionNotes
Antibody Dilution1:1000-1:2000May require optimization based on specific lot
Blocking Agent5% non-fat dry milk in TBSTBSA (3-5%) may be used alternatively
Sample PreparationExtraction in buffer with protease inhibitorsFresh tissue yields better results than stored
Incubation TimeOvernight at 4°CLonger incubation improves signal-to-noise ratio
Detection MethodECL or fluorescent secondary antibodyECL provides higher sensitivity for low abundance
Expected MW~35 kDaMay vary slightly depending on post-translational modifications

When designing Western blot experiments, it's critical to include appropriate positive and negative controls. For rice tissue samples under stress conditions, consider including samples from both stressed and non-stressed plants to observe differential expression patterns .

How should researchers design experiments to study Os03g0804700 expression in response to abiotic stress?

When designing experiments to study Os03g0804700 expression under abiotic stress:

  • Experimental setup:

    • Use hydroponically grown seedlings for controlled stress application

    • Implement a time-course experiment (e.g., sampling at 0, 6, 12, 24, 48, and 72 hours post-stress)

    • Include multiple stress levels (e.g., for salt stress: 40mM, 80mM, and 120mM NaCl)

  • Sample collection and processing:

    • Collect tissue samples (roots and shoots separately)

    • Immediately flash-freeze in liquid nitrogen

    • Store at -80°C until RNA/protein extraction

  • Analysis methods:

    • Combine transcriptomic analysis (qRT-PCR or microarray) with protein detection (Western blot)

    • Validate findings with immunolocalization studies

    • Consider comparing expression across different rice varieties with varying stress tolerance

Based on transcriptomic studies of rice under salt stress, it's advisable to compare expression patterns between tolerant varieties (e.g., Pokkali, FL478) and susceptible varieties (e.g., BRRI dhan29, IR29) to correlate expression with phenotypic responses .

What controls should be included when using Os03g0804700 Antibody in immunoprecipitation experiments?

For robust immunoprecipitation experiments with Os03g0804700 Antibody:

Essential controls:

  • Input control: Analyze a small portion of the pre-IP lysate to confirm target protein presence

  • Isotype control: Use a non-specific antibody of the same isotype to identify non-specific binding

  • No-antibody control: Perform IP without primary antibody to identify protein A/G bead binding

  • Blocking peptide control: Pre-incubate antibody with immunizing peptide to demonstrate specificity

  • Negative tissue control: Use tissue known not to express the target protein

Validation strategies:

  • Reverse IP with antibodies against suspected interacting partners

  • Mass spectrometry analysis of immunoprecipitated complexes

  • Comparison of results from different extraction conditions

When interpreting IP results, researchers should be aware that plant protein complexes can be more challenging to preserve than mammalian complexes, often requiring optimization of extraction buffers and conditions .

How can researchers troubleshoot weak or absent signals when using Os03g0804700 Antibody?

When encountering weak or absent signals with Os03g0804700 Antibody:

Systematic troubleshooting approach:

  • Antibody validation:

    • Verify antibody viability (test on positive control samples)

    • Check storage conditions (improper storage can reduce activity)

    • Consider antibody titration to determine optimal concentration

  • Sample preparation issues:

    • Ensure complete protein denaturation for Western blotting

    • Verify protein transfer efficiency with reversible staining

    • Check protein degradation with total protein staining

  • Detection system:

    • Use a more sensitive detection method (e.g., chemiluminescent substrate)

    • Extend exposure time or increase antibody concentration

    • Consider signal amplification systems

  • Biological factors:

    • Verify expression conditions (stress treatments may be necessary to induce expression)

    • Check developmental stage (expression may be tissue or stage-specific)

    • Consider genetic variation between rice varieties that might affect epitope recognition

For rice proteins specifically, extraction protocols often require optimization as plant tissues contain compounds that can interfere with antibody binding or protein extraction.

What approaches can address cross-reactivity issues with Os03g0804700 Antibody?

When addressing cross-reactivity issues:

Identification strategies:

  • Perform Western blots on samples from knockout/knockdown lines

  • Compare banding patterns across different tissue types

  • Use mass spectrometry to identify proteins in unexpected bands

Mitigation approaches:

  • Optimization of blocking conditions:

    • Test alternative blocking agents (milk vs. BSA)

    • Increase blocking time or concentration

  • Antibody incubation modifications:

    • Add competing peptides to block non-specific binding

    • Perform pre-absorption with tissue lysates lacking target protein

    • Modify salt concentration in washing buffers

  • Alternative validation methods:

    • Use orthogonal detection methods (e.g., mass spectrometry)

    • Consider alternative antibodies targeting different epitopes

Cross-reactivity is particularly relevant when working with plant proteins that often exist in multigene families with high sequence similarity, as seen in rice germins and germin-like proteins .

How can researchers verify the specificity of Os03g0804700 Antibody in their experimental system?

To verify antibody specificity:

Validation strategies:

  • Genetic approaches:

    • Test on knockout/knockdown plants if available

    • Use overexpression lines as positive controls

    • Compare reactivity across closely related rice varieties

  • Biochemical approaches:

    • Peptide competition assays

    • Immunoprecipitation followed by mass spectrometry

    • Pre-absorption tests with recombinant protein

  • Experimental validation:

    • Compare with RNA expression data (qRT-PCR, microarray)

    • Validate subcellular localization against GFP fusion proteins

    • Compare results from multiple antibodies targeting different epitopes

A comprehensive validation would include testing the antibody in samples with known expression patterns, such as rice tissues under different stress conditions where Germin-like protein expression has been previously characterized through transcriptomic analysis .

How can Os03g0804700 Antibody be employed in studying rice stress response pathways?

Os03g0804700 Antibody can be utilized in advanced studies of stress response pathways through:

  • Pathway mapping approaches:

    • Co-immunoprecipitation followed by mass spectrometry to identify interacting proteins

    • ChIP assays to identify transcription factors regulating Os03g0804700 expression

    • Phospho-specific Western blotting to detect post-translational modifications in response to stress

  • Spatial and temporal profiling:

    • Immunohistochemistry to map protein localization across tissues during stress responses

    • Time-course analysis of protein levels following stress application

    • Comparison between susceptible and tolerant rice varieties

  • Functional studies:

    • Combining antibody-based detection with physiological measurements

    • Correlating protein levels with ROS scavenging activity

    • Studying protein-protein interactions under different stress conditions

What methodologies enable researchers to use Os03g0804700 Antibody in multiplex detection systems?

For multiplex detection using Os03g0804700 Antibody:

Technical approaches:

  • Fluorescent multiplex Western blotting:

    • Use spectrally distinct fluorophore-conjugated secondary antibodies

    • Combine with antibodies against other stress-related proteins

    • Requires careful antibody species selection to avoid cross-reactivity

  • Multiplex immunohistochemistry/immunofluorescence:

    • Sequential detection using tyramide signal amplification

    • Spectral unmixing to resolve overlapping signals

    • Z-stack imaging to resolve spatial relationships

  • Bead-based multiplex assays:

    • Antibody coupling to distinct bead populations

    • Simultaneous detection of multiple proteins from single samples

    • Requires optimization to minimize cross-reactivity

Implementation considerations:

MethodAdvantagesLimitations
Fluorescent multiplex WBQuantitative, saves sampleLimited to 4-5 targets
Multiplex IHC/IFPreserves spatial informationComplex optimization
Bead-based assaysHigh throughput, small sample volumeRequires specialized equipment

These approaches allow researchers to simultaneously examine multiple components of stress response pathways, providing insights into the coordinated regulation of stress adaptation mechanisms in rice .

How can computational approaches enhance the interpretation of data generated using Os03g0804700 Antibody?

Computational approaches can significantly enhance data interpretation:

  • Integration with transcriptomic data:

    • Correlation analysis between protein levels and gene expression data

    • Network analysis to identify co-regulated genes/proteins

    • Temporal modeling of expression patterns during stress responses

  • Structural biology applications:

    • Epitope mapping and prediction of antibody binding sites

    • Protein structure prediction to understand functional domains

    • Molecular dynamics simulations to predict protein-protein interactions

  • Advanced image analysis:

    • Automated quantification of immunohistochemistry signals

    • Machine learning approaches for pattern recognition in tissue samples

    • 3D reconstruction of protein localization from confocal z-stacks

  • Systems biology integration:

    • Incorporation of protein expression data into pathway models

    • Multi-omics data integration (proteomics, transcriptomics, metabolomics)

    • Predictive modeling of stress responses based on protein expression patterns

Transcriptomic studies in rice have already established extensive datasets on gene expression under various stress conditions. Computational integration of protein-level data obtained using Os03g0804700 Antibody with these existing datasets can provide a more comprehensive understanding of stress response mechanisms .

How does Os03g0804700 protein expression compare across different rice varieties under stress conditions?

Research on differential expression across rice varieties reveals:

Expression patterns in contrasting genotypes:

Transcriptomic studies of rice under salt stress show substantial variation in stress-responsive gene expression between tolerant and susceptible varieties. For example, tolerant varieties like Pokkali and FL478 show different expression patterns compared to susceptible varieties like BRRI dhan29 and IR29 .

While specific data for Os03g0804700 protein levels across varieties is limited, related research suggests:

When designing comparative studies, researchers should:

  • Include multiple biological replicates (minimum 3)

  • Control for developmental stage and environmental conditions

  • Consider both short-term (hours) and long-term (days) stress responses

  • Normalize protein expression to appropriate housekeeping controls

What methodological approaches can differentiate between Os03g0804700 and closely related proteins in experimental systems?

To differentiate between Os03g0804700 and related proteins:

Advanced technical approaches:

  • Antibody-based methods:

    • Epitope mapping to identify unique regions for antibody generation

    • Use of monoclonal antibodies targeting unique epitopes

    • Competitive ELISAs with specific blocking peptides

  • Mass spectrometry approaches:

    • Targeted MS/MS to identify specific peptide fragments

    • Parallel reaction monitoring (PRM) for quantitative analysis

    • AQUA peptides for absolute quantification of specific proteins

  • Genetic approaches:

    • CRISPR/Cas9-mediated tagging of endogenous proteins

    • Isoform-specific knockdown using RNAi

    • Expression of epitope-tagged versions in knockout backgrounds

Comparative analysis framework:

ApproachResolutionThroughputTechnical Complexity
Isoform-specific antibodiesHighMediumMedium
Targeted proteomicsVery highLow-MediumHigh
Genetic taggingHighLowHigh
Domain-specific functional assaysMediumMediumMedium

The Germin-like protein family in rice contains several members with high sequence similarity, making isoform-specific detection challenging but essential for accurate functional characterization .

How does the research on Os03g0804700 contribute to broader understanding of plant stress responses?

Research on Os03g0804700 and related Germin-like proteins provides important insights into plant stress biology:

Broader scientific contributions:

  • Fundamental stress response mechanisms:

    • Os03g0804700 research contributes to understanding how plants detect and respond to environmental stresses

    • Studies reveal the role of ROS management in stress tolerance

    • Research illuminates post-translational regulation of stress response proteins

  • Evolutionary perspectives:

    • Comparative studies across plant species show conservation of stress response mechanisms

    • Research reveals species-specific adaptations in stress response pathways

    • Identification of core stress response components across diverse plant lineages

  • Translational applications:

    • Os03g0804700 research informs breeding strategies for stress-tolerant crops

    • Findings guide transgenic approaches to enhance stress tolerance

    • Knowledge contributes to developing sustainable agriculture under changing climate conditions

Recent research shows that proteins like OsGEX3, which function in similar stress response pathways, enhance osmotic stress tolerance by regulating ROS scavenging, suggesting that Os03g0804700 may participate in similar protective mechanisms .

By studying this protein across different genetic backgrounds and environmental conditions, researchers gain insights into the molecular basis of stress adaptation in crops, contributing to both fundamental plant biology and applied agricultural research.

How might Os03g0804700 Antibody be utilized in emerging single-cell proteomics approaches?

Emerging single-cell proteomics applications:

Technical implementation strategies:

  • Mass cytometry (CyTOF) adaptation:

    • Conjugation of Os03g0804700 Antibody with rare earth metals

    • Integration into plant-specific CyTOF panels

    • Cell type-specific profiling in heterogeneous plant tissues

  • Microfluidic approaches:

    • Droplet-based single-cell protein detection

    • Microwell array systems for spatial protein profiling

    • Integration with single-cell transcriptomics

  • Advanced microscopy techniques:

    • Highly multiplexed imaging using sequential antibody labeling

    • Super-resolution microscopy for subcellular localization

    • Spatial transcriptomics combined with protein detection

Research applications:

  • Mapping protein expression heterogeneity across cell types in rice tissues

  • Correlating stress response at single-cell resolution

  • Identifying rare cell populations with unique stress response profiles

While these technologies are still emerging for plant systems, they represent powerful approaches to understand the cellular heterogeneity in stress responses, potentially revealing cell type-specific roles of Os03g0804700 in rice stress adaptation .

What are the considerations for developing phospho-specific antibodies against Os03g0804700 for studying post-translational modifications?

Developing phospho-specific antibodies involves:

Strategic considerations:

  • Phosphorylation site identification:

    • In silico prediction of phosphorylation sites

    • Mass spectrometry-based phosphoproteomic analysis

    • Conservation analysis across related proteins

  • Peptide design principles:

    • Selection of sequences with 10-15 amino acids surrounding the phosphorylation site

    • Consideration of hydrophilicity and antigenicity

    • Addition of terminal cysteine for conjugation

  • Validation requirements:

    • Testing against phosphorylated and non-phosphorylated peptides

    • Validation in plant samples treated with phosphatase

    • Comparison with mutants where phosphorylation sites are altered

Implementation challenges specific to plant proteins:

  • Limited information on rice protein phosphorylation sites compared to model systems

  • Potential cross-reactivity with related Germin-like proteins

  • Need for appropriate positive controls (e.g., stress-activated phosphorylation)

Phospho-specific antibodies would enable researchers to track the activation state of Os03g0804700 during stress responses, providing insights into the regulatory mechanisms controlling its function .

How can CRISPR-based approaches be combined with Os03g0804700 Antibody studies for functional genomics research?

Integrating CRISPR technology with antibody-based detection:

Experimental strategies:

  • Endogenous tagging approaches:

    • CRISPR-mediated insertion of epitope tags

    • Creation of fluorescent protein fusions for live imaging

    • Generation of auxin-inducible degron tags for controlled protein depletion

  • Functional domain analysis:

    • CRISPR-based precise mutagenesis of functional domains

    • Creation of domain deletion variants

    • Analysis of protein interactions and localization using antibodies

  • Regulatory element characterization:

    • CRISPR interference/activation to modulate expression

    • Editing of transcription factor binding sites

    • Correlation of expression changes with protein levels

Experimental design framework:

ApproachResearch QuestionDetection MethodOutcome Measurement
Epitope taggingProtein localizationTag-specific antibodiesSubcellular distribution patterns
Domain mutationsStructure-functionOs03g0804700 AntibodyAltered interaction/activity
Expression modulationRegulation mechanismsQuantitative immunoblottingStress response dynamics

This combined approach would allow researchers to precisely manipulate Os03g0804700 at the genomic level while using antibodies to detect resulting changes in protein expression, localization, and function, providing comprehensive insights into its role in rice stress biology .

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