Os03g0733400 Antibody

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Description

Definition and Target

Os03g0733400 Antibody is a rabbit-derived polyclonal immunoglobulin G (IgG) designed to bind specifically to the Os03g0733400 protein, encoded by the gene locus Os03g0733400 in rice. This protein is annotated in UniProt under accession Q6AVI0 .

Research Applications

  • Functional Studies: Likely used to investigate Os03g0733400’s role in rice biology, such as stress response or developmental pathways.

  • Protein Localization: Western blotting to detect expression levels in rice tissues .

  • Comparative Analysis: Potential use in studies comparing protein expression across rice subspecies or under experimental conditions.

Validation and Availability

  • Source: Commercialized by Cusabio .

  • Validation Data: While specific validation for Os03g0733400 is not detailed in the search results, analogous antibodies (e.g., A309831 ) show reactivity via WB with rice lysates.

  • Pricing: Available in 0.1 ml or 2 ml volumes, with pricing likely comparable to similar antibodies (e.g., ~$485 for 100 µl) .

Limitations and Future Directions

  • Specificity: Requires empirical validation in non-rice species due to potential cross-reactivity.

  • Research Gaps: No peer-reviewed studies citing Os03g0733400 Antibody were identified in the provided sources, suggesting opportunities for novel investigations into its biochemical or agricultural relevance.

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
Os03g0733400 antibody; LOC_Os03g52310 antibody; OsJ_12466 antibody; OSJNBa0027J18.23 antibody; OSJNBa0079G12.4 antibody; Zinc finger BED domain-containing protein RICESLEEPER 2 antibody; Transposase-like protein RICESLEEPER 2 antibody
Target Names
Os03g0733400
Uniprot No.

Target Background

Function
This antibody targets a transposase-like protein that plays a critical role in plant growth and development. It is believed to regulate gene expression globally by interacting with other cellular factors.
Database Links

KEGG: osa:4334009

UniGene: Os.80780

Subcellular Location
Nucleus.

Q&A

What is Os03g0733400 and why is it important in research?

Os03g0733400 is a gene identifier from Oryza sativa (rice) that encodes proteins involved in specific cellular functions. Antibodies targeting this gene product are valuable tools for investigating protein expression, localization, and interactions in plant biology research. The importance of this gene lies in understanding fundamental plant biological processes, which can have implications for crop improvement and agricultural applications. Researchers typically use Os03g0733400 antibodies to track protein expression patterns across different developmental stages or in response to environmental stressors .

What validation methods should be used to confirm Os03g0733400 antibody specificity?

Validation of Os03g0733400 antibodies requires multiple orthogonal approaches to ensure specificity. Similar to the nanobody validation approaches described for PRL-3 antibodies, researchers should employ Western blotting, immunoprecipitation, and immunofluorescence with appropriate controls . For Os03g0733400 antibodies, it's particularly important to:

  • Test the antibody against recombinant Os03g0733400 protein

  • Perform immunoblotting with wild-type and knockout/knockdown plant tissues

  • Include cross-reactivity tests with closely related proteins

  • Validate subcellular localization patterns against known distribution data

Pre-adsorption tests where the antibody is incubated with purified antigen before use can further confirm specificity. Additionally, using multiple antibodies targeting different epitopes of the same protein provides stronger validation of observed results .

What are the optimal sample preparation techniques for Os03g0733400 antibody applications?

Sample preparation significantly impacts antibody performance in plant tissue applications. For Os03g0733400 antibody applications, researchers should consider:

Sample TypeRecommended Extraction BufferSpecial Considerations
Rice leaf tissue50mM Tris-HCl (pH 7.5), 150mM NaCl, 1% Triton X-100, 1mM EDTA, protease inhibitorsFlash-freeze tissue in liquid nitrogen before grinding
Rice callus100mM Tris-HCl (pH 8.0), 150mM NaCl, 5% glycerol, 0.1% NP-40, protease inhibitorsGentle homogenization to prevent protein degradation
Rice root tissue25mM HEPES (pH 7.5), 100mM NaCl, 1mM EDTA, 0.5% CHAPS, protease inhibitorsRinse thoroughly to remove soil contaminants

For immunohistochemistry applications, proper fixation is critical. Most plant tissues require 4% paraformaldehyde fixation followed by careful dehydration and embedding. When performing protein extraction, inclusion of reducing agents should be carefully considered based on the epitope structure, as some antibodies recognize conformational epitopes that may be disrupted under reducing conditions .

How can Os03g0733400 antibodies be optimized for cross-species applications?

Cross-species application of antibodies requires careful consideration of epitope conservation. For Os03g0733400 antibodies:

  • Perform sequence alignment analysis of the target protein across species to identify conserved regions

  • Select antibodies raised against highly conserved epitopes when cross-species reactivity is desired

  • Validate each application in the new species with appropriate controls

  • Consider using nanobody technology which can offer advantages in recognizing conserved structural epitopes

Recent advances in antibody engineering demonstrate that nanobodies (single-domain antibodies) derived from camelids show exceptional promise for targeting conserved protein regions. The smaller size of nanobodies (approximately 15 kDa compared to 150 kDa for conventional antibodies) allows them to access epitopes that might be inaccessible to conventional antibodies . When adapting Os03g0733400 antibodies for cross-species work, researchers should test dilution series in each new species and optimize blocking conditions to reduce non-specific binding.

What strategies can resolve contradictory data when using different Os03g0733400 antibodies?

When faced with contradictory results from different Os03g0733400 antibodies, researchers should implement a systematic troubleshooting approach:

  • Compare the exact epitopes recognized by each antibody

  • Evaluate antibody format differences (polyclonal vs. monoclonal vs. nanobody)

  • Assess potential post-translational modifications that might affect epitope recognition

  • Consider protein complex formation that could mask certain epitopes

One powerful approach is to use complementary techniques such as mass spectrometry to independently verify protein identity and abundance. Additionally, genetic approaches using CRISPR/Cas9 to create tagged versions of the endogenous protein can provide definitive validation . The molecular geometry and orientation of antibodies can significantly impact their binding properties, as demonstrated in bispecific antibody research, which may explain discrepancies when different antibody formats are used .

How can Os03g0733400 antibodies be integrated into multiplexed imaging experiments?

Multiplexed imaging with Os03g0733400 antibodies requires careful planning to avoid cross-reactivity and signal interference:

Multiplexing MethodAdvantagesLimitationsImplementation Notes
Sequential staining with primary antibody strippingAllows use of antibodies from the same speciesTime-consuming, potential epitope damageUse mild elution buffers (glycine-HCl, pH 2.5) to minimize damage
Directly conjugated antibodies with spectral unmixingFaster protocol, no secondary antibody cross-reactivityPotential signal reduction, requires specialized equipmentSelect fluorophores with minimal spectral overlap
Tyramide signal amplification (TSA)Enhanced sensitivity, allows same-species antibodiesComplex protocol, potential high backgroundCareful titration of primary antibodies and TSA reagents required

For advanced applications, consider adapting the nanobody technology described in PRL-3 research . The small size of nanobodies (approximately 15 kDa) provides superior tissue penetration compared to conventional antibodies, making them excellent tools for thick tissue sections. Additionally, their stability and potential for site-specific labeling make them ideal for super-resolution microscopy techniques .

What controls are essential when using Os03g0733400 antibodies in plant research?

Rigorous experimental design requires appropriate controls to ensure valid interpretation of Os03g0733400 antibody results:

  • Positive controls: Include samples with known Os03g0733400 expression or recombinant protein

  • Negative controls: Use knockout/knockdown plant tissues or related species lacking the target

  • Isotype controls: Include an irrelevant antibody of the same isotype to assess non-specific binding

  • Secondary antibody-only controls: Verify the specificity of the secondary detection system

  • Pre-absorption controls: Pre-incubate antibody with purified antigen to confirm specificity

The importance of proper controls is highlighted in antibody development research, where validation against genetic models proved essential for confirming binding specificity. For rice research specifically, comparing wild-type and CRISPR-edited lines can provide the most convincing evidence of antibody specificity .

How can Os03g0733400 antibodies be adapted for different detection systems?

Adapting Os03g0733400 antibodies for various detection platforms requires specific optimizations:

Detection SystemAntibody Adaptation StrategyOptimization Focus
Western blottingTitration of primary antibodyBuffer composition, blocking reagent selection
Flow cytometryDirect fluorophore conjugationMinimizing aggregation, optimizing signal-to-noise ratio
ImmunohistochemistryBuffer composition and antigen retrievalFixation method, incubation conditions
Proximity ligation assayTesting antibody pairs from different speciesDistance between epitopes, accessibility
Super-resolution microscopySite-specific fluorophore conjugationLabeling efficiency, fluorophore selection

When adapting antibodies for advanced applications, consider the molecular architecture of the detection system. As demonstrated in bispecific antibody research, the relative orientation and geometric configuration significantly impact binding properties . For instance, when developing a multiplex assay, the relative positioning of epitopes and potential steric hindrance between different antibodies must be considered.

What factors influence reproducibility in Os03g0733400 antibody-based experiments?

Reproducibility challenges in antibody-based experiments stem from multiple factors:

  • Antibody lot-to-lot variation: Document lot numbers and perform validation with each new lot

  • Sample preparation inconsistencies: Standardize protocols for tissue collection, fixation, and processing

  • Environmental variables: Control for growth conditions, stress exposure, and developmental stage

  • Data analysis subjectivity: Implement blinded analysis and automated quantification where possible

  • Reagent quality: Use high-purity reagents and document their sources

To enhance reproducibility, researchers should implement the comprehensive documentation practices used in therapeutic antibody development. This includes recording detailed experimental conditions, validating antibodies before use, and sharing detailed protocols. Additionally, understanding the biophysical properties of the antibody can help anticipate potential variability . For example, antibodies with higher developability profiles (good expression, high stability, low self-association) generally yield more consistent results across experiments.

How can non-specific binding issues be resolved in Os03g0733400 antibody applications?

Non-specific binding presents a common challenge in plant tissue applications. Systematic troubleshooting approaches include:

IssuePotential CauseResolution Strategy
High background in Western blotsInsufficient blockingIncrease blocking time, test alternative blocking agents (milk vs. BSA)
Non-specific bandsCross-reactivity with similar proteinsIncrease antibody dilution, add detergents to reduce hydrophobic interactions
Diffuse signal in immunofluorescenceAutofluorescence from plant tissuesUse specific quenching agents, employ spectral unmixing
High background in fixed tissuesInadequate washingExtend wash steps, increase detergent concentration, use carrier proteins
Signal in negative controlsSecondary antibody cross-reactivityTest alternative secondary antibodies, pre-absorb against plant tissue

The complexity of plant tissue samples often requires optimization beyond standard protocols. Developing a systematic troubleshooting approach, as seen in nanobody research for cancer applications, can significantly improve results . For particularly challenging samples, consider adapting the single-domain antibody approach, which can offer superior specificity in complex biological samples due to their ability to recognize unique epitopes inaccessible to conventional antibodies .

What emerging technologies are advancing the capabilities of Os03g0733400 antibody research?

Several cutting-edge technologies are enhancing antibody-based research applications:

  • Nanobody development: The emergence of alpaca-derived nanobodies, as described in cancer research, offers advantages in accessing conformational epitopes and penetrating dense tissues . These smaller antibody fragments (approximately 15 kDa) can recognize epitopes that conventional antibodies cannot reach.

  • Bispecific antibody design: Advanced engineering principles used in therapeutic bispecific antibodies can be applied to research reagents, creating tools that simultaneously recognize Os03g0733400 and an additional marker of interest . The molecular geometry considerations from therapeutic antibody development provide valuable insights for designing research-grade bispecific antibodies.

  • Antibody-guide CRISPR systems: Coupling antibodies with catalytically inactive Cas proteins enables targeted epigenetic modifications at sites of Os03g0733400 protein binding.

  • High-throughput antibody validation platforms: Automated systems for testing antibody specificity across diverse conditions improve reliability and reduce validation time.

  • Machine learning approaches: Computational tools to predict epitope accessibility and antibody performance in different applications are increasingly valuable for experimental design.

These emerging approaches build on fundamental antibody engineering principles while addressing the unique challenges of plant biology research. The integration of computational tools with experimental validation, as seen in bispecific antibody development, represents a particularly promising direction for advancing Os03g0733400 research .

How can Os03g0733400 antibodies be used to study protein-protein interactions?

Studying protein-protein interactions involving Os03g0733400 requires specialized approaches:

  • Co-immunoprecipitation (Co-IP): Optimize lysis conditions to preserve protein complexes while ensuring antibody accessibility to epitopes. Crosslinking may be necessary for transient interactions.

  • Proximity Ligation Assay (PLA): This technique visualizes protein interactions in situ with high specificity and sensitivity by producing a fluorescent signal only when two proteins are within ~40nm of each other.

  • FRET/BRET applications: When combined with fluorescent protein tagging strategies, antibodies can help validate energy transfer data indicating close protein proximity.

  • ChIP-seq adaptations: For DNA-binding proteins, chromatin immunoprecipitation followed by sequencing can map genomic binding sites.

The nanobody approach described for PRL-3 research offers particular advantages for interaction studies due to the smaller size interfering less with complex formation . Additionally, the molecular geometry considerations from bispecific antibody design highlight the importance of epitope accessibility within protein complexes . When studying interactions, researchers should consider that conformational changes upon complex formation may mask or expose epitopes, potentially leading to false negative or positive results.

How might advances in antibody engineering improve Os03g0733400 research tools?

Future developments in antibody technology promise to enhance Os03g0733400 research capabilities:

  • Structure-guided antibody design: As protein structure prediction tools improve, rational design of antibodies against specific functional domains of Os03g0733400 will become more feasible.

  • Affinity maturation techniques: Methods to enhance binding affinity without sacrificing specificity can improve detection of low-abundance targets.

  • Conditionally active antibodies: Development of antibodies that only bind under specific cellular conditions (pH, redox state) could enable more precise spatial and temporal studies.

  • Plant-specific expression systems: Optimized production of antibodies in plant systems may improve recognition of plant-specific post-translational modifications.

The principles of bispecific antibody design, with their emphasis on molecular geometry and domain arrangement, provide valuable insights for future antibody engineering efforts . Additionally, the promising results with nanobodies in targeting previously inaccessible epitopes suggest that smaller binding domains may overcome current limitations in antibody accessibility to certain protein regions .

What role can computational approaches play in optimizing Os03g0733400 antibody experiments?

Computational tools are increasingly valuable for antibody research optimization:

Computational ApproachApplication to Os03g0733400 ResearchExpected Benefits
Epitope prediction algorithmsIdentify optimal immunogenic regionsImproved antibody specificity
Protein-protein dockingModel antibody-antigen interactionsEnhanced understanding of binding mechanisms
Machine learning image analysisAutomated quantification of staining patternsReduced subjective interpretation, higher throughput
Experimental design optimizationStatistical power calculation, batch effect reductionMore reliable and reproducible results
Cross-reactivity predictionIdentify potential off-target bindingReduced false positive results

Recent advances in bispecific antibody design highlight the value of integrating computational modeling with experimental validation . For example, mechanistic modeling to understand affinity interplay between binding domains can inform experimental design decisions. Similarly, developability profile prediction tools can help anticipate potential issues with antibody stability or expression before significant resources are invested in their development .

How can Os03g0733400 antibody research contribute to broader plant science challenges?

Os03g0733400 antibody research extends beyond basic science to address significant agricultural and environmental challenges:

  • Crop improvement: Understanding protein function through antibody-based studies can identify targets for genetic improvement of rice varieties.

  • Stress response mechanisms: Tracking protein expression changes under various stress conditions can reveal adaptation mechanisms with broader applications.

  • Developmental biology: Antibody-based mapping of protein expression during development can identify critical regulatory nodes applicable across plant species.

  • Translational research: Findings from rice studies can inform approaches to improving other cereal crops with similar genetic components.

  • Climate change adaptation: Identifying proteins involved in environmental response pathways can contribute to developing climate-resilient crops.

The methodological approaches used in therapeutic antibody development, particularly regarding validation standards and reproducibility, provide valuable frameworks for ensuring that fundamental research findings can be reliably translated to applied contexts . Additionally, the innovations in antibody engineering demonstrated in nanobody research offer tools that could accelerate progress in addressing these broader challenges by providing more precise ways to monitor and manipulate plant protein function .

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