Os04g0676650 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
Os04g0676650 antibody; Os04g0676500 antibody; LOC_Os04g58010 antibody; OSJNBa0064G10.7 antibody; Putative B3 domain-containing protein Os04g0676650 antibody
Target Names
Os04g0676650
Uniprot No.

Target Background

Database Links
Subcellular Location
Nucleus.

Q&A

What is Os04g0676650 Antibody and what organism does it target?

Os04g0676650 Antibody is a polyclonal antibody specifically developed to recognize and bind to the Os04g0676650 protein (UniProt No. Q7XKC4) from Oryza sativa subsp. japonica (Rice) . This antibody is generated through immunization with a recombinant form of the target protein and is designed specifically for research applications involving rice protein detection and analysis . The antibody demonstrates specific reactivity against Oryza sativa subsp. japonica proteins and serves as a valuable tool for researchers investigating rice biology and protein function .

What are the validated applications for Os04g0676650 Antibody?

The Os04g0676650 Antibody has been validated for the following research applications:

  • ELISA (Enzyme-Linked Immunosorbent Assay): Useful for quantitative detection of the target protein in solution .

  • Western Blot (WB): Validated for identifying the target protein in complex mixtures separated by gel electrophoresis .

These applications have been specifically tested to ensure reliable antigen identification . When designing experiments, researchers should incorporate appropriate positive and negative controls to validate antibody performance in their specific experimental conditions. While not explicitly validated for other applications, researchers may explore its utility in immunohistochemistry, immunoprecipitation, or flow cytometry following proper optimization protocols.

What is the optimal storage procedure for maintaining Os04g0676650 Antibody activity?

Proper storage is critical for maintaining antibody functionality and preventing degradation. For Os04g0676650 Antibody:

  • Upon receipt, store at -20°C or -80°C for long-term preservation

  • Avoid repeated freeze-thaw cycles which can compromise antibody integrity and binding capacity

  • The antibody is provided in liquid form containing 50% glycerol and 0.01M PBS (pH 7.4) with 0.03% Proclin 300 as a preservative

To maintain optimal activity, aliquot the antibody upon first thaw to minimize freeze-thaw cycles. Each aliquot should contain sufficient volume for a single experiment to preserve binding efficiency and specificity throughout your research timeline.

How is the Os04g0676650 Antibody purified, and what is its specificity profile?

The Os04g0676650 Antibody undergoes antigen affinity purification to enhance specificity and reduce background interference . The purification process includes:

  • Production of the polyclonal antibody in rabbits using recombinant Oryza sativa subsp. japonica Os04g0676650 protein as the immunogen

  • Isolation of IgG antibodies from serum

  • Affinity purification using the target antigen to select only those antibodies with high affinity for the target

The specificity of this antibody is directed toward epitopes on the Os04g0676650 protein, making it suitable for detecting this specific rice protein in research applications . As with all antibodies, researchers should validate specificity in their experimental system through appropriate controls.

What controls should be included when using Os04g0676650 Antibody in experiments?

When designing experiments with Os04g0676650 Antibody, include the following controls to ensure valid and interpretable results:

  • Positive Control: Samples known to contain the Os04g0676650 protein, such as rice tissue extracts or recombinant Os04g0676650 protein

  • Negative Control: Samples lacking the target protein, such as non-rice plant tissue or knock-out rice variants

  • Isotype Control: A non-specific rabbit IgG at the same concentration to assess non-specific binding

  • No-Primary Antibody Control: Omit the primary antibody while maintaining all other reagents to identify secondary antibody non-specific binding

  • Peptide Competition Assay: Pre-incubate the antibody with excess target peptide to confirm specificity

These controls help differentiate specific signal from background and validate experimental findings, particularly when working with complex plant tissue samples.

What methodological considerations are important when optimizing Western blot protocols for Os04g0676650 Antibody?

Optimizing Western blot protocols for Os04g0676650 Antibody requires careful consideration of several methodological parameters:

Sample Preparation Considerations:

  • Use fresh tissue samples or those stored at -80°C to prevent protein degradation

  • Include protease inhibitors in extraction buffers to preserve protein integrity

  • Consider subcellular fractionation if the protein is compartmentalized

Protocol Optimization Guidelines:

  • Antibody Dilution Range: Begin testing at 1:500 to 1:2000 dilutions and adjust based on signal-to-noise ratio

  • Blocking Solutions: Compare 5% non-fat milk with 5% BSA to determine optimal blocking conditions

  • Incubation Times and Temperatures:

    • Primary antibody: Test both overnight at 4°C and 2 hours at room temperature

    • Secondary antibody: Typically 1 hour at room temperature

  • Washing Stringency: Adjust PBST or TBST concentration (0.05% to 0.1% Tween-20) to reduce background

Signal Detection Considerations:

  • For low abundance proteins, consider using enhanced chemiluminescence (ECL) substrates with longer exposure times

  • For quantitative analysis, consider fluorescent secondary antibodies and digital imaging

This methodical approach to optimization will help maximize specific signal while minimizing background interference when working with plant tissue samples, which often contain compounds that can interfere with antibody binding.

How can researchers effectively troubleshoot non-specific binding issues with Os04g0676650 Antibody?

Non-specific binding can significantly affect experimental outcomes. Here's a systematic approach to troubleshooting:

Common Sources of Non-Specific Binding:

  • Insufficient blocking

  • Suboptimal antibody concentration

  • Cross-reactivity with similar epitopes

  • Secondary antibody issues

  • Sample preparation problems

Methodological Troubleshooting Approach:

IssueDiagnostic MethodRemediation Strategy
High BackgroundObserve pattern of background stainingIncrease blocking time/concentration; Optimize antibody dilution; Increase wash stringency
Multiple BandsCompare to expected molecular weightPerform peptide competition assay; Optimize extraction conditions; Test freshly prepared samples
No SignalCheck positive controlsVerify protein transfer; Test antibody functionality with dot blot; Adjust exposure settings
Inconsistent ResultsCompare experimental variablesStandardize sample preparation; Use consistent incubation times; Prepare fresh working solutions

Advanced Remediation Techniques:

  • Pre-adsorb antibody with related plant proteins to remove cross-reactive antibodies

  • Use gradient SDS-PAGE to improve separation of similar molecular weight proteins

  • Consider alternative detection methods like immunoprecipitation followed by mass spectrometry

This structured approach helps systematically identify and address sources of non-specific binding in rice protein detection experiments.

What approaches can be used to validate Os04g0676650 Antibody specificity in rice research?

Validating antibody specificity is crucial for ensuring reliable research outcomes. For Os04g0676650 Antibody, consider these complementary validation approaches:

Genetic Validation:

  • Compare wildtype rice with Os04g0676650 knockout/knockdown lines

  • Use CRISPR-edited rice variants with modified epitopes

  • Test transgenic rice overexpressing the target protein

Biochemical Validation:

  • Mass Spectrometry Confirmation: Perform immunoprecipitation followed by mass spectrometry to confirm antibody captures the intended protein

  • Peptide Competition Assay: Pre-incubate the antibody with excess recombinant Os04g0676650 protein before application

  • Epitope Mapping: Identify the specific binding regions using truncated protein variants

Orthogonal Method Validation:

  • Compare protein detection results with mRNA expression data

  • Use fluorescent protein tagging to correlate antibody staining with direct protein visualization

  • Compare results with alternative antibodies targeting different epitopes of the same protein

Publication Standards:
Document all validation steps according to the International Working Group for Antibody Validation (IWGAV) guidelines to ensure reproducibility and reliability of research findings using this antibody.

How does antibody-antigen binding kinetics affect experimental design when using Os04g0676650 Antibody?

Understanding binding kinetics is essential for optimizing experimental protocols with Os04g0676650 Antibody:

Key Binding Parameters:

  • Association rate (kon): How quickly antibody binds to antigen

  • Dissociation rate (koff): How quickly antibody-antigen complexes separate

  • Equilibrium dissociation constant (KD): Ratio of koff/kon, indicating binding affinity

Experimental Design Implications:

  • Incubation Times:

    • Short incubation may be insufficient if kon is slow

    • Extended incubation may lead to non-specific binding

    • Recommendation: Test multiple timepoints to determine optimal signal-to-noise ratio

  • Washing Procedures:

    • Antibodies with high affinity (low KD) require more stringent washing

    • Antibodies with low affinity (high KD) may lose signal with excessive washing

    • Recommendation: Optimize wash buffer composition and duration based on empirical testing

  • Detection Methods:

    • Direct methods work well with high-affinity antibodies

    • Signal amplification may be necessary for low-affinity interactions

    • Recommendation: Match detection sensitivity to antibody binding characteristics

Practical Application:
When designing time-course experiments or comparing protein expression across different rice tissues, standardize all binding and washing conditions to ensure differences reflect biological variation rather than methodological artifacts.

What are effective strategies for using Os04g0676650 Antibody in co-immunoprecipitation studies of protein complexes?

Co-immunoprecipitation (Co-IP) with Os04g0676650 Antibody can reveal important protein-protein interactions in rice biology. Consider these methodological approaches:

Sample Preparation Optimization:

  • Extract proteins under native conditions using gentle lysis buffers (e.g., 20mM Tris pH 7.5, 150mM NaCl, 1mM EDTA, 1% NP-40)

  • Include protease inhibitors and phosphatase inhibitors if studying post-translational modifications

  • Perform extraction at 4°C to preserve protein complexes

Antibody Coupling Methods:

  • Direct coupling to beads: Covalently attach antibody to activated agarose or magnetic beads

  • Indirect coupling: Use Protein A/G beads to capture antibody-antigen complexes

  • Consideration: Direct coupling reduces antibody contamination in eluates

Protocol Optimization Guidelines:

ParameterStarting ConditionOptimization Strategy
Antibody Amount2-5 μg per reactionTitrate to determine minimum effective concentration
Sample Input500 μg total proteinAdjust based on target abundance
Binding TimeOvernight at 4°CTest shorter times for abundant proteins
Wash Stringency3-5 washes with lysis bufferBalance between removing non-specific binding while maintaining complexes
Elution MethodGentle (competitive) vs. harsh (denaturing)Choose based on downstream applications

Validation and Controls:

  • Input control: Analysis of pre-IP sample

  • Negative control: Non-specific IgG from same species

  • Reverse Co-IP: Immunoprecipitate with antibodies against suspected interacting partners

These methodological considerations help ensure that identified protein-protein interactions are specific and biologically relevant in rice research contexts .

How can Os04g0676650 Antibody be applied in studying plant stress responses?

Os04g0676650 Antibody can be valuable for investigating plant stress responses through several methodological approaches:

Experimental Design for Stress Studies:

  • Time-course experiments: Monitor protein expression changes at multiple timepoints after stress induction

  • Dose-response studies: Assess protein levels under varying intensities of stress conditions

  • Comparative analysis: Examine responses across different rice varieties or mutant lines

Recommended Methodological Approaches:

  • Quantitative Western Blotting:

    • Use internal loading controls (e.g., actin, tubulin) for normalization

    • Employ fluorescent secondary antibodies for more accurate quantification

    • Analyze multiple biological replicates to account for natural variation

  • Immunolocalization:

    • Fix tissues with paraformaldehyde to preserve protein localization

    • Optimize antigen retrieval methods for plant tissues

    • Use confocal microscopy to determine subcellular redistribution under stress

  • Protein Complex Analysis:

    • Apply co-immunoprecipitation under various stress conditions

    • Combine with mass spectrometry to identify stress-dependent interaction partners

    • Validate interactions with reciprocal Co-IP or proximity ligation assays

This methodological framework allows researchers to comprehensively investigate the role of Os04g0676650 in rice stress responses, similar to approaches used for studying transmembrane signaling systems in other contexts .

What considerations are important when using Os04g0676650 Antibody in comparative studies across different rice varieties?

When employing Os04g0676650 Antibody in comparative studies across rice varieties, researchers should consider several methodological factors to ensure valid comparisons:

Sequence Variation Considerations:

  • Compare the target protein sequence across varieties to identify potential epitope variations

  • Perform preliminary tests to confirm antibody recognition in all varieties being studied

  • Consider Western blot analysis to verify consistent molecular weight detection

Standardization Requirements:

  • Use equal amounts of protein from each variety (validated by total protein staining)

  • Process all samples simultaneously under identical conditions

  • Include common reference varieties in each experimental batch

  • Apply appropriate normalization methods to account for technical variation

Data Analysis Approach:

  • Quantify signals using digital imaging and analysis software

  • Apply statistical methods appropriate for the experimental design

  • Consider using relative quantification rather than absolute values when comparing varieties

  • Report both biological and technical variability in results

Validation Strategies:

  • Correlate protein expression with transcript levels (RT-PCR or RNA-seq)

  • Confirm findings with alternative antibodies or detection methods

  • Verify biological significance through functional assays

This methodological framework ensures that observed differences reflect true biological variation across rice varieties rather than technical artifacts or antibody performance inconsistencies.

How can active learning approaches improve experimental design when working with Os04g0676650 Antibody?

Active learning methodologies can significantly enhance experimental efficiency and outcomes when working with Os04g0676650 Antibody:

Experiment Design Optimization:

Recent research demonstrates that active learning strategies can reduce experimental costs by up to 35% while accelerating the learning process in antibody-antigen binding studies . These principles can be applied to research with Os04g0676650 Antibody through:

  • Sequential Experimental Design:

    • Begin with small-scale pilot experiments to determine optimal conditions

    • Use results to inform subsequent, more targeted experiments

    • Progressively refine protocols based on accumulated data

  • Multiparametric Optimization:

    • Systematically vary multiple parameters (antibody concentration, incubation time, buffer composition)

    • Apply statistical design of experiments (DoE) approaches

    • Identify parameter interactions that affect experimental outcomes

  • Machine Learning Integration:

    • Apply predictive models to estimate optimal experimental conditions

    • Use Bayesian optimization to efficiently explore parameter space

    • Incorporate data from failed experiments to improve future designs

Practical Implementation Table:

Experimental PhaseActive Learning ApproachExpected Benefit
Initial Protocol DevelopmentFractional factorial designEfficiently explore multiple parameters with fewer experiments
OptimizationResponse surface methodologyIdentify optimal conditions with statistical confidence
TroubleshootingDecision tree algorithmsSystematically identify and address experimental issues
Cross-validationTransfer learning from similar antibodiesLeverage existing knowledge to accelerate optimization

By implementing these active learning strategies, researchers can more efficiently develop robust protocols for working with Os04g0676650 Antibody while minimizing resource expenditure .

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