Os12g0163300 Antibody

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Description

Absence of Direct References in Available Sources

None of the indexed search results ( ) mention "Os12g0163300 Antibody." The sources primarily focus on:

  • General antibody structure (e.g., IgG, light/heavy chains, variable/constant regions) .

  • Clinical studies of antibodies in autoimmune diseases, cancer, and infectious diseases .

  • Therapeutic monoclonal antibodies (e.g., OKT3, omalizumab) and their applications .

  • Emerging antibody technologies and characterization efforts .

Recommendations for Further Investigation

To resolve this discrepancy:

  1. Verify the compound name: Ensure "Os12g0163300 Antibody" is correctly spelled and contextualized (e.g., species, target protein).

  2. Consult specialized databases:

    • UniProt or NCBI Protein for gene/protein annotations.

    • CiteAb or Antibodypedia for antibody validation data.

  3. Explore plant-specific research repositories:

    • Rice Genome Annotation Project for Oryza sativa gene details.

    • Plant Antibody Database (if available).

Limitations of Current Analysis

The lack of information may stem from:

  • A highly niche or unpublished antibody.

  • Typographical errors in the compound identifier.

  • Restricted access to proprietary or non-indexed datasets.

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
Os12g0163300 antibody; LOC_Os12g06620 antibody; OsJ_35322Deoxyhypusine hydroxylase-A antibody; DOHH-A antibody; EC 1.14.99.29 antibody; Deoxyhypusine dioxygenase-A antibody; Deoxyhypusine monooxygenase-A antibody
Target Names
Os12g0163300
Uniprot No.

Target Background

Function
This antibody targets Os12g0163300, an enzyme that catalyzes the hydroxylation of the N(6)-(4-aminobutyl)-L-lysine intermediate to form hypusine. Hypusine is an essential post-translational modification found exclusively in mature eIF-5A factor.
Database Links
Protein Families
Deoxyhypusine hydroxylase family

Q&A

What is Os12g0163300 and why is it significant in rice research?

Os12g0163300 is a gene in Oryza sativa subsp. japonica (Rice) corresponding to UniProt accession Q2QXB3. The antibody against this protein is significant for rice research because it enables researchers to detect and quantify the target protein expression in various experimental conditions. Rice serves as a model organism for cereal crops research, and studying specific proteins like Os12g0163300 contributes to understanding plant biology mechanisms that may impact agricultural productivity and stress resistance .

What are the optimal storage conditions for Os12g0163300 antibody?

Os12g0163300 antibody should be stored at -20°C or -80°C upon receipt. Researchers should avoid repeated freeze-thaw cycles as these can degrade antibody quality and affect experimental reproducibility. The antibody is provided in a liquid form with a storage buffer containing 0.03% Proclin 300, 50% Glycerol, and 0.01M PBS at pH 7.4, which helps maintain stability during storage .

What applications has the Os12g0163300 antibody been validated for?

The Os12g0163300 antibody has been tested and validated for enzyme-linked immunosorbent assay (ELISA) and Western blot (WB) applications. These techniques are fundamental for protein detection and quantification in plant molecular biology research. Validation ensures that the antibody can specifically identify the target antigen when using these methods .

How should researchers prepare samples for Os12g0163300 antibody detection?

Sample preparation for Os12g0163300 detection should follow standard protocols for plant tissue processing:

  • Harvest fresh rice tissue and flash-freeze in liquid nitrogen

  • Grind tissue to a fine powder while maintaining frozen state

  • Extract proteins using appropriate buffer (typically containing protease inhibitors)

  • Clarify lysates by centrifugation

  • Quantify protein concentration using Bradford or BCA assay

  • For Western blot: denature samples with SDS loading buffer and heat

  • For ELISA: dilute samples to appropriate concentration in coating buffer

This methodical approach ensures optimal protein preservation while minimizing degradation that could affect antibody binding specificity .

What strategies can mitigate cross-reactivity when using Os12g0163300 antibody in complex rice tissue samples?

Cross-reactivity can complicate data interpretation when working with polyclonal antibodies like Os12g0163300 antibody. Researchers should implement multiple strategies:

  • Pre-absorb the antibody with tissue lysates from negative control samples

  • Implement stringent blocking conditions (5% BSA or milk in TBST for Western blots)

  • Optimize antibody dilution through titration experiments (typically starting at 1:1000)

  • Include competitive peptide blocking controls

  • Validate specificity through knockout/knockdown controls when available

  • Consider parallel detection with multiple antibodies targeting different epitopes of the same protein

These approaches can significantly improve signal specificity, particularly in complex rice tissue samples where related proteins may share sequence homology .

How can researchers validate Os12g0163300 antibody specificity in transgenic rice lines?

Validating antibody specificity in transgenic rice lines requires multiple complementary approaches:

  • Compare protein detection in wild-type vs. knockout/knockdown lines

  • Overexpression studies to confirm increased signal intensity

  • Epitope-tagged constructs to compare detection with antibodies against the tag

  • Mass spectrometry validation of immunoprecipitated proteins

  • Signal peptide prediction analysis to verify expected molecular weight

  • Subcellular fractionation to confirm localization patterns

This multi-faceted validation strategy provides rigorous evidence of antibody specificity, especially important when working with novel transgenic rice varieties with potentially altered expression profiles .

What experimental design considerations should researchers address when investigating Os12g0163300 expression during different growth stages?

Investigating Os12g0163300 expression across rice development requires careful experimental design:

Growth StageTissue SelectionControlsSpecial Considerations
SeedlingWhole seedling, separated root/shootAge-matched plantsControl light/dark cycles
VegetativeLeaf, stem, root samplesTissue from same positionNote developmental leaf position
ReproductivePanicle, anthers, developing seedsStage-matched samplesDocument precise reproductive stage
Stress responseStressed vs. unstressed tissueTime-matched controlsStandardize stress application

Additionally, researchers should:

  • Establish time-course sampling to capture expression dynamics

  • Normalize protein loading with established housekeeping controls

  • Consider diurnal variations in expression

  • Document environmental growth conditions rigorously

  • Include biological and technical replicates (minimum n=3)

This comprehensive approach enables reliable assessment of protein expression patterns throughout development .

What optimization steps are recommended for Western blot protocols using Os12g0163300 antibody?

Optimizing Western blot protocols for Os12g0163300 antibody requires systematic refinement:

  • Protein extraction buffer optimization:

    • Test multiple extraction buffers with different detergent concentrations

    • Include appropriate protease inhibitor cocktails

    • Consider phosphatase inhibitors if phosphorylation is relevant

  • Gel separation parameters:

    • Select appropriate acrylamide percentage based on protein size

    • Consider gradient gels for better resolution

    • Optimize running conditions (voltage/time)

  • Transfer optimization:

    • Test wet vs. semi-dry transfer methods

    • Optimize transfer time and voltage

    • Consider using PVDF membranes for better protein retention

  • Antibody incubation conditions:

    • Test different dilutions (typically 1:500-1:2000)

    • Compare overnight 4°C vs. room temperature incubations

    • Evaluate different blocking agents (BSA vs. milk)

  • Detection system selection:

    • Compare chemiluminescence, fluorescence, or colorimetric detection

    • Optimize exposure times for optimal signal-to-noise ratio

This methodical optimization approach significantly improves detection sensitivity and specificity .

What are the key considerations for using Os12g0163300 antibody in co-immunoprecipitation experiments?

Co-immunoprecipitation (Co-IP) with Os12g0163300 antibody requires careful attention to:

  • Lysis buffer composition:

    • Use mild, non-denaturing conditions to preserve protein-protein interactions

    • Test different detergent types and concentrations (typically 0.1-1% NP-40 or Triton X-100)

    • Include protease and phosphatase inhibitors

  • Antibody coupling strategy:

    • Direct coupling to beads vs. capture with Protein A/G

    • Pre-clearing lysates to reduce non-specific binding

    • Determining optimal antibody-to-lysate ratios

  • Washing stringency:

    • Balance between preserving interactions and reducing background

    • Consider salt concentration gradients in wash buffers

    • Test detergent concentration in wash buffers

  • Elution conditions:

    • Gentle elution with peptide competition

    • Standard SDS elution for maximum recovery

    • Native elution for downstream functional assays

  • Controls:

    • IgG control from same species

    • Input samples for comparison

    • Reverse Co-IP when possible

These considerations help ensure specific isolation of Os12g0163300 protein complexes while minimizing artifacts .

How can Os12g0163300 antibody be utilized in immunohistochemistry studies of rice tissues?

While the antibody datasheet primarily indicates ELISA and Western blot applications, researchers can adapt it for immunohistochemistry (IHC) through careful protocol development:

  • Tissue fixation optimization:

    • Test different fixatives (4% paraformaldehyde vs. alcoholic fixatives)

    • Optimize fixation time for tissue penetration without antigen masking

    • Consider heat-induced epitope retrieval methods

  • Section preparation:

    • Compare paraffin vs. cryosectioning for epitope preservation

    • Optimize section thickness (typically 5-10 μm)

    • Develop appropriate permeabilization protocols

  • Antibody parameters:

    • Test higher antibody concentrations than used for Western blot

    • Extend incubation times (overnight at 4°C)

    • Evaluate different detection systems (fluorescent vs. enzymatic)

  • Controls:

    • Include peptide competition controls

    • Use tissues from knockout/knockdown plants if available

    • Process serial sections with primary antibody omission

  • Counterstaining:

    • Select appropriate counterstains for tissue architecture visualization

    • Consider double-labeling with organelle markers for co-localization studies

This systematic approach can extend the utility of Os12g0163300 antibody beyond its validated applications .

What strategies should researchers employ when using Os12g0163300 antibody in stress response studies?

When investigating protein expression changes during stress responses:

  • Experimental design considerations:

    • Include detailed time-course sampling

    • Apply controlled, reproducible stress conditions

    • Maintain appropriate non-stressed controls

  • Sample processing adaptations:

    • Modify extraction buffers based on stress type (e.g., additional antioxidants for oxidative stress)

    • Consider subcellular fractionation to detect translocation events

    • Optimize protein extraction from stress-modified tissues

  • Data normalization approaches:

    • Select stress-stable reference proteins for normalization

    • Consider multiple normalization strategies

    • Document changes in total protein content

  • Analytical framework:

    • Quantify relative expression changes using densitometry

    • Perform statistical analysis across biological replicates

    • Consider correlation with transcriptomic data when available

This integrated approach enables reliable assessment of Os12g0163300 protein dynamics during stress responses .

What are the most common technical issues when using Os12g0163300 antibody and how can they be resolved?

IssuePossible CausesSolutions
No signalInsufficient proteinIncrease loading amount, optimize extraction
Ineffective transferVerify transfer efficiency with staining
Antibody degradationUse fresh aliquots, avoid freeze-thaw cycles
High backgroundInsufficient blockingExtend blocking time, try alternative blocking reagents
Excessive antibodyIncrease dilution factor
Non-specific bindingPre-absorb antibody, increase wash stringency
Multiple bandsCross-reactivityVerify with peptide competition
Protein degradationAdd additional protease inhibitors
Post-translational modificationsVerify with appropriate controls
Inconsistent resultsSample variabilityStandardize growth conditions and extraction
Antibody batch variationUse consistent lot numbers when possible
Protocol inconsistencyDocument and standardize all parameters

These troubleshooting approaches address common technical challenges and improve experimental reproducibility .

How should researchers interpret changes in Os12g0163300 protein levels in relation to transcriptomic data?

Interpreting protein expression in relation to transcript levels requires careful consideration:

  • Temporal relationship assessment:

    • Account for time lag between transcription and translation

    • Consider mRNA vs. protein half-life differences

    • Design time-course experiments to capture both dynamics

  • Quantitative relationship evaluation:

    • Recognize that correlation between mRNA and protein levels is often modest

    • Calculate correlation coefficients between transcriptomic and proteomic data

    • Consider post-transcriptional regulatory mechanisms

  • Regulatory mechanism investigation:

    • Assess possible miRNA-mediated regulation

    • Consider protein stability and degradation pathways

    • Evaluate translational efficiency factors

  • Integrated data analysis:

    • Normalize both datasets appropriately

    • Apply statistical methods suitable for multi-omics integration

    • Consider pathway-level rather than individual gene-protein correlations

This integrated analytical approach provides deeper insights into the biological significance of observed expression changes .

How might Os12g0163300 antibody be applied in studies of rice-pathogen interactions?

Os12g0163300 antibody could be valuable for studying plant-pathogen interactions through:

  • Infection time-course studies:

    • Monitor protein expression changes during pathogen invasion

    • Compare resistant vs. susceptible rice varieties

    • Correlate with defense response activation

  • Subcellular relocalization analysis:

    • Track protein movement during immune responses

    • Investigate potential association with defensive structures

    • Detect potential protein modifications during infection

  • Protein complex investigations:

    • Identify interaction partners during pathogen challenge

    • Compare complex formation in resistant vs. susceptible lines

    • Detect pathogen effector targets

  • Transgenic approaches:

    • Validate antibody utility in overexpression/silencing lines

    • Correlate protein levels with resistance phenotypes

    • Study protein function in heterologous systems

These applications could reveal important insights into rice immune response mechanisms and potential targets for crop improvement .

What considerations should researchers address when using Os12g0163300 antibody across different rice varieties?

When extending research across rice varieties:

  • Sequence variation assessment:

    • Compare protein sequence homology across varieties

    • Identify potential epitope variations that might affect antibody binding

    • Consider targeted sequencing of the gene in study varieties

  • Validation requirements:

    • Perform initial Western blots to confirm cross-reactivity

    • Include positive controls from japonica rice

    • Consider titration experiments to optimize antibody concentration

  • Data normalization adaptations:

    • Select widely conserved housekeeping proteins for normalization

    • Consider relative rather than absolute quantification

    • Document variety-specific expression patterns

  • Interpretation considerations:

    • Account for genetic background effects on expression

    • Consider variety-specific post-translational modifications

    • Document subspecies and accession numbers in publications

This strategic approach ensures reliable cross-variety comparisons while acknowledging potential limitations .

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