Os02g0576700 Antibody

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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
Os02g0576700 antibody; LOC_Os02g36710 antibody; B1342F01.10 antibody; NAP1-related protein 2 antibody; Protein SET homolog 2 antibody
Target Names
Os02g0576700
Uniprot No.

Target Background

Function
This antibody targets Os02g0576700, which functions as a histone H2A/H2B chaperone involved in nucleosome assembly.
Database Links

KEGG: osa:4329757

STRING: 39947.LOC_Os02g36710.1

UniGene: Os.6793

Protein Families
Nucleosome assembly protein (NAP) family
Subcellular Location
Nucleus. Cytoplasm.

Q&A

What is Os02g0576700 protein and why is it significant in rice research?

Os02g0576700 refers to a specific gene locus in rice (Oryza sativa subsp. japonica) corresponding to UniProt accession Q69JW2. The protein encoded by this gene is significant because it belongs to the family of proteins involved in plant stress responses and developmental regulation. Rice, as a major global food crop, requires extensive research into its disease resistance and stress response mechanisms, making antibodies against these proteins valuable research tools. Similar to how OsTRXh1 (another rice protein) has been shown to influence plant architecture and stress responses through reactive oxygen species regulation in the rice apoplast, Os02g0576700 may play critical roles in rice biology that warrant detailed investigation .

What are the key specifications of commercially available Os02g0576700 antibodies?

The Os02g0576700 antibody is typically available as a rabbit polyclonal antibody raised against recombinant Os02g0576700 protein from Oryza sativa subsp. japonica. Key specifications include:

  • Immunogen: Recombinant Oryza sativa subsp. japonica Os02g0576700 protein

  • Host: Rabbit

  • Clonality: Polyclonal

  • Applications: ELISA, Western Blot

  • Form: Liquid

  • Storage buffer: 50% Glycerol, 0.01M PBS (pH 7.4), 0.03% Proclin 300

  • Purification method: Antigen affinity purified

  • Storage conditions: -20°C or -80°C, avoid repeated freeze-thaw cycles

  • Lead time: Generally made-to-order (approximately 14-16 weeks)

  • Usage limitations: For research use only, not for diagnostic or therapeutic applications

How does Os02g0576700 antibody specificity compare to other rice protein antibodies?

The specificity of Os02g0576700 antibody should be evaluated through rigorous validation protocols similar to those used for other plant antibodies. Like antibodies against OsTRXh1, which required careful validation to confirm specificity in plant tissues, Os02g0576700 antibodies require thorough testing to ensure they recognize only the intended target . Compared to other rice protein antibodies, specificity testing should include Western blot analysis with positive controls (recombinant protein or overexpression systems) and negative controls (knockout lines if available). A comprehensive validation approach would use multiple techniques (Western blot, immunoprecipitation, and possibly immunohistochemistry) to confirm specificity across different experimental conditions, following the systematic validation approaches demonstrated in large-scale antibody assessment studies .

What are the validated applications for Os02g0576700 antibody in plant research?

Based on available information, the Os02g0576700 antibody has been validated for:

  • ELISA (Enzyme-Linked Immunosorbent Assay): Used for quantitative detection of the Os02g0576700 protein in plant extracts.

  • Western Blot (WB): Confirmed for identification of the target antigen in protein extracts from rice tissues .

For optimal application in each technique, researchers should consider the following methodological approaches:

  • For ELISA: Start with a concentration range of 1:500 to 1:5000 dilution to determine optimal antibody concentration. Use recombinant Os02g0576700 protein as a positive control when available.

  • For Western Blot: Begin with a 1:1000 dilution in 5% BSA or non-fat milk in TBST. Optimize blocking conditions and incubation times based on preliminary results. Use appropriate molecular weight markers to confirm target band size.

Like systematic antibody validation procedures for other proteins, researchers should validate each application in their specific experimental context .

How should sample preparation be optimized for detecting Os02g0576700 in different rice tissues?

Optimal sample preparation for detecting Os02g0576700 in rice tissues requires careful consideration of tissue-specific factors:

  • Leaf tissue: Grind fresh or frozen tissue in liquid nitrogen. Extract proteins using a buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1 mM EDTA, 10% glycerol, 0.1% Triton X-100, and protease inhibitor cocktail.

  • Root tissue: More extensive homogenization may be required due to higher fiber content. Consider using a more concentrated extraction buffer.

  • Seed tissue: For high starch content, add amylase treatment steps to prevent interference.

  • Subcellular fractionation: If investigating protein localization, separate apoplastic, cytoplasmic, and membrane fractions using differential centrifugation protocols similar to those used for OsTRXh1 extraction .

  • Protein preservation: Include protease inhibitors and maintain cold temperatures throughout extraction to prevent degradation.

For all tissues, optimize extraction by testing different buffer compositions and extraction methods to maximize target protein recovery while minimizing interference from plant-specific compounds like phenolics and polysaccharides that may affect antibody binding.

What controls should be included when using Os02g0576700 antibody in experimental workflows?

For rigorous experimental design with Os02g0576700 antibody, include these essential controls:

  • Positive control: Recombinant Os02g0576700 protein or extracts from tissues known to express the protein.

  • Negative control:

    • Primary antibody omission control

    • Extracts from knockout/knockdown lines (if available)

    • Pre-immune serum control

    • Blocking peptide competition assay to confirm specificity

  • Loading control: For Western blot, include antibodies against housekeeping proteins (e.g., actin, tubulin, or GAPDH) to normalize protein loading.

  • Cross-reactivity assessment: Test the antibody against proteins from related species or closely related protein family members to evaluate potential cross-reactivity.

  • Isotype control: Include irrelevant antibodies of the same isotype to identify non-specific binding, following methods used in flow cytometry protocols for other antibodies .

These controls should be systematically implemented similar to the comprehensive antibody validation procedures described in large-scale antibody assessment studies .

How can researchers validate the specificity of Os02g0576700 antibody for their specific rice varieties?

Validating antibody specificity for different rice varieties requires a multi-step approach:

  • Sequence alignment analysis: Compare the Os02g0576700 sequence from your rice variety with the immunogen sequence used to generate the antibody. Identify potential variations that might affect epitope recognition.

  • Western blot analysis: Test the antibody on protein extracts from your specific rice variety alongside positive and negative controls. Look for a single band at the expected molecular weight.

  • Knockout/knockdown validation: If available, use genetic tools like RNAi or CRISPR to reduce or eliminate Os02g0576700 expression, then confirm reduced or absent signal with the antibody, similar to the approach used for OsTRXh1 validation .

  • Mass spectrometry verification: For ultimate confirmation, immunoprecipitate the target protein and verify its identity using mass spectrometry.

  • Peptide competition assay: Pre-incubate the antibody with excess purified target protein or immunizing peptide before applying to samples. Signal elimination confirms specificity.

This systematic validation approach ensures the antibody recognizes the intended target in your specific rice variety, similar to the rigorous validation methods used in large-scale antibody assessment studies .

What are the recommended methods for evaluating batch-to-batch consistency of Os02g0576700 antibodies?

To ensure experimental reproducibility, evaluate batch-to-batch consistency using these quantitative methods:

  • Side-by-side Western blot comparison:

    • Run identical samples with both antibody batches

    • Quantify band intensity using densitometry

    • Calculate the coefficient of variation (should be <15%)

    • Compare detection thresholds for serial dilutions of target protein

  • ELISA titration curves:

    • Generate standard curves using recombinant protein

    • Compare EC50 values between batches

    • Assess detection limits and dynamic ranges

  • Epitope mapping:

    • Confirm both batches recognize the same epitope(s) using peptide arrays or competition assays

  • Immunoprecipitation efficiency:

    • Quantify target protein recovery from identical samples

    • Compare non-specific binding profiles

Implement quality control metrics similar to those used in systematic antibody validation protocols, where antibody performance is quantitatively assessed across multiple applications .

How can signal-to-noise ratio be optimized when using Os02g0576700 antibody in plant tissue with high autofluorescence?

When working with plant tissues that exhibit high autofluorescence, optimize signal-to-noise ratio using these strategies:

  • Sample preparation improvements:

    • Add clearing agents like Clarity™ or Scale solutions to reduce tissue autofluorescence

    • Incorporate quenching steps using Sudan Black B (0.1-0.3%) or TrueBlack® lipofuscin autofluorescence quencher

    • Test different fixation protocols to minimize autofluorescence generation

  • Imaging optimizations:

    • Use spectral imaging and linear unmixing to separate antibody signal from autofluorescence

    • Employ time-gated detection if using fluorescent secondary antibodies with longer fluorescence lifetimes than autofluorescence

    • Utilize confocal microscopy with narrow bandpass filters

  • Signal amplification methods:

    • Try tyramide signal amplification (TSA) to boost specific signal

    • Use quantum dots or other bright, photostable fluorophores

    • Consider enzyme-linked detection systems like HRP for non-fluorescent applications

  • Control strategies:

    • Always image negative controls under identical conditions

    • Use computational approaches to subtract autofluorescence patterns

These approaches can help overcome the significant autofluorescence challenges in plant tissues, similar to optimized protocols used for other challenging antibody applications .

What are the most common causes of false positives/negatives when using Os02g0576700 antibody, and how can they be addressed?

Common causes of false results with Os02g0576700 antibody and their solutions include:

False Positives:

  • Cross-reactivity with similar proteins: Perform sequence alignment analysis of related proteins and validate with specific controls like peptide competition assays.

  • Non-specific binding: Optimize blocking conditions (try different blockers like 5% BSA, 5% non-fat milk, or commercial blockers) and increase washing stringency.

  • Secondary antibody issues: Include a secondary-only control and consider using isotype-specific secondary antibodies with minimal cross-reactivity to plant proteins.

  • Degraded samples: Add protease inhibitors during extraction and maintain cold chain to preserve protein integrity.

False Negatives:

  • Epitope masking: Test multiple extraction conditions to ensure the epitope remains accessible. Try different detergents or denaturing conditions.

  • Insufficient protein: Optimize extraction protocols specifically for rice tissues. Concentrate samples if necessary.

  • Interfering compounds: Rice tissues contain compounds that may interfere with antibody binding. Include additives like PVP or PVPP to remove phenolic compounds.

  • Antibody degradation: Store antibody according to manufacturer recommendations (-20°C or -80°C) and avoid repeated freeze-thaw cycles .

Each issue should be systematically addressed through careful experimental design and appropriate controls, similar to approaches used in comprehensive antibody validation studies .

How should experimental conditions be modified when detecting post-translationally modified forms of Os02g0576700?

Detecting post-translational modifications (PTMs) of Os02g0576700 requires specific protocol modifications:

  • Phosphorylation detection:

    • Include phosphatase inhibitors (sodium fluoride, sodium orthovanadate, β-glycerophosphate) in extraction buffers

    • Consider phospho-enrichment steps using metal oxide affinity chromatography (MOAC) or titanium dioxide

    • Use Phos-tag™ gels to enhance mobility shifts of phosphorylated proteins

    • Validate with phosphatase treatment controls

  • Ubiquitination detection:

    • Add deubiquitinase inhibitors (N-ethylmaleimide, PR-619) to extraction buffers

    • Use denaturing conditions to preserve ubiquitin chains

    • Consider sequential immunoprecipitation approaches

    • Include proteasome inhibitor pre-treatment of samples

  • Glycosylation detection:

    • Test enzymatic deglycosylation (PNGase F, O-glycosidase) to confirm glycosylation status

    • Use lectin affinity approaches for enrichment

    • Consider specialized staining methods to visualize glycosylated forms

  • General approaches:

    • Use 2D gel electrophoresis to separate modified forms

    • Combine immunoprecipitation with mass spectrometry for definitive PTM identification

    • Test whether the antibody epitope overlaps with potential modification sites

These approaches require rigorous validation with appropriate controls to confirm the specificity of PTM detection, similar to methods used in other antibody validation strategies .

What strategies can overcome poor signal when using Os02g0576700 antibody in low-abundance expression systems?

When detecting low-abundance Os02g0576700 protein, implement these signal enhancement strategies:

  • Sample preparation optimization:

    • Increase starting material amount

    • Perform subcellular fractionation to concentrate the target protein

    • Use protein precipitation methods (TCA/acetone, methanol/chloroform) to concentrate samples

    • Implement immunoprecipitation to enrich target protein before detection

  • Detection sensitivity enhancements:

    • Try ultrasensitive ECL substrates for Western blot

    • Implement tyramide signal amplification (TSA) for immunohistochemistry

    • Use highly sensitive detection systems like ProteinSimple Wes™ or similar capillary-based immunoassay platforms

    • Consider biotin-streptavidin amplification systems

  • Protocol modifications:

    • Increase primary antibody concentration or incubation time (overnight at 4°C)

    • Optimize transfer conditions for Western blot (use PVDF membranes, add SDS to transfer buffer for high MW proteins)

    • Reduce washing stringency while maintaining specificity

    • Test different secondary antibodies with higher sensitivity

  • Alternative detection methods:

    • Consider proximity ligation assay (PLA) for in situ protein detection

    • Explore mass spectrometry-based targeted proteomics (SRM/MRM) for quantification

Each approach should be systematically tested and optimized for the specific experimental system, following similar principles to those used in comprehensive antibody validation strategies .

How can Os02g0576700 antibody be used to investigate protein-protein interactions in stress response pathways?

To investigate protein-protein interactions involving Os02g0576700 in stress response pathways, implement these advanced approaches:

  • Co-immunoprecipitation (Co-IP):

    • Use Os02g0576700 antibody to pull down the protein complex

    • Analyze interacting partners by mass spectrometry

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

    • Compare interaction profiles under normal vs. stress conditions

  • Proximity-dependent labeling:

    • Generate fusion proteins with BioID or APEX2

    • Use Os02g0576700 antibody to validate expression and localization

    • Identify proximity partners through streptavidin pulldown and mass spectrometry

  • Förster Resonance Energy Transfer (FRET):

    • Use antibodies against Os02g0576700 and potential partners labeled with appropriate fluorophore pairs

    • Measure FRET efficiency to assess protein proximity in situ

    • Compare FRET signals under different stress conditions

  • Bimolecular Fluorescence Complementation (BiFC):

    • Generate split fluorescent protein fusions

    • Use Os02g0576700 antibody to validate expression levels

    • Visualize interactions through complementation of fluorescent protein fragments

These methods should be combined with appropriate controls and validation steps to confirm the specificity of detected interactions, similar to approaches used for studying other plant stress response proteins like OsTRXh1 .

What methodological considerations are important when using Os02g0576700 antibody to analyze spatial and temporal expression patterns during plant development?

For spatiotemporal analysis of Os02g0576700 expression during plant development, consider these methodological aspects:

  • Tissue preparation and fixation:

    • Test multiple fixatives (paraformaldehyde, glutaraldehyde, methanol) for optimal epitope preservation

    • Optimize embedding methods (paraffin, cryosectioning, vibratome) for different tissue types

    • Consider whole-mount approaches for three-dimensional analysis

  • Immunolocalization protocols:

    • Develop tissue-specific antigen retrieval methods

    • Optimize permeabilization for different developmental stages

    • Use tissue clearing techniques for deep tissue imaging

    • Combine with other markers for contextual information

  • Developmental timing considerations:

    • Create a comprehensive sampling strategy across developmental stages

    • Use standardized growth conditions to ensure reproducibility

    • Consider circadian effects on protein expression

  • Quantitative analysis approaches:

    • Implement digital image analysis for objective quantification

    • Use reference proteins for normalization across developmental stages

    • Consider cell type-specific markers for precise localization

  • Validation strategies:

    • Correlate protein expression with transcript levels (RT-qPCR, in situ hybridization)

    • Use reporter gene fusions to confirm antibody-based findings

    • Include appropriate negative controls for each developmental stage

These approaches should be tailored to the specific tissues and developmental processes being studied, similar to methods used for analyzing other developmentally regulated rice proteins .

How can Os02g0576700 antibody be integrated into high-throughput phenotypic screening of rice varieties for stress resistance?

Integrating Os02g0576700 antibody into high-throughput phenotypic screening requires these methodological adaptations:

  • Protein extraction automation:

    • Develop microplate-based extraction protocols

    • Standardize tissue collection methods across varieties

    • Implement quality control steps to ensure consistent extraction efficiency

  • High-throughput immunoassay formats:

    • Adapt to 384-well ELISA format for quantification

    • Develop dot blot arrays for rapid screening

    • Consider automated Western blot systems (Jess, Wes, Simple Western)

    • Implement multiplexed bead-based assays for simultaneous protein measurements

  • Quantitative analysis pipeline:

    • Create standardized data collection procedures

    • Develop normalization methods to account for extraction variability

    • Implement statistical approaches for identifying significant differences

    • Design visualization tools for complex dataset interpretation

  • Correlation with phenotypic data:

    • Design experiments to correlate Os02g0576700 levels with stress resistance phenotypes

    • Develop multivariate analysis approaches for integrating protein data with phenotypic measurements

    • Implement machine learning algorithms for pattern recognition

    • Create feedback loops for candidate selection and verification

  • Validation strategies:

    • Verify high-throughput results with conventional methods on selected candidates

    • Implement orthogonal assays to confirm associations

    • Use genetic manipulation to validate functional significance

This integration would follow similar principles to large-scale antibody validation studies, adapting the systematic approaches to plant-specific applications .

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