Os05g0358500 Antibody

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Description

Definition and Target

The Os05g0358500 antibody is designed to detect the Os05g0358500 protein, a rice-derived antigen encoded by the gene locus Os05g0358500. This protein’s functional role in rice biology remains uncharacterized in publicly available literature, but the antibody serves as a tool for its identification and study in experimental settings .

Research Applications

  • ELISA: Used for quantitative detection of Os05g0358500 in rice lysates .

  • Western Blot: Validated for identifying the Os05g0358500 protein in rice samples, though experimental conditions (e.g., gel concentration, blocking buffers) require optimization by end users .

Key Features

  • Species Specificity: Reactivity is restricted to Oryza sativa subsp. japonica, with no cross-reactivity reported in other species .

  • Production: Generated using a recombinant Os05g0358500 protein immunogen, ensuring high antigen specificity .

  • Lead Time: Custom orders require 14–16 weeks for production .

Limitations and Gaps

  • Functional Studies: No peer-reviewed studies or preclinical data are available to elucidate the biological role of Os05g0358500 or the antibody’s utility in mechanistic research.

  • Clinical Relevance: This antibody is explicitly labeled “For Research Use Only” and lacks validation for diagnostic or therapeutic applications .

  • Epitope Mapping: The exact binding epitope on the Os05g0358500 protein has not been disclosed.

Future Directions

  • Functional Characterization: Studies to determine the Os05g0358500 protein’s role in rice physiology (e.g., stress response, growth regulation).

  • Technological Expansion: Adapting the antibody for advanced techniques like immunohistochemistry (IHC) or immunoprecipitation (IP).

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
Os05g0358500 antibody; LOC_Os05g29030 antibody; OJ1045_C06.13 antibody; OSJNBa0009L15.3 antibody; Probable protein phosphatase 2C 48 antibody; OsPP2C48 antibody; EC 3.1.3.16 antibody
Target Names
Os05g0358500
Uniprot No.

Q&A

What is Os05g0358500 and what is its biological function?

Os05g0358500 is a gene that encodes the probable protein phosphatase 2C 48 (OsPP2C48) in Oryza sativa subsp. japonica (Rice). This protein belongs to the PP2C family of serine/threonine phosphatases with the enzyme commission number EC 3.1.3.16 . PP2C phosphatases play critical roles in various plant signaling pathways, particularly in stress responses and developmental processes. The protein is encoded by the locus LOC_Os05g29030 and has alternative designations including OJ1045_C06.13 and OSJNBa0009L15.3 .

Methodologically, researchers investigating the function of this protein should consider:

  • Phenotypic analysis of knockout/knockdown lines

  • Expression profiling under various stress conditions

  • Identification of interacting proteins and substrates

  • Comparative analysis with other PP2C family members in rice and other plant species

What are the recommended applications for Os05g0358500 Antibody in plant research?

The Os05g0358500 Antibody has been validated for several experimental applications that are particularly relevant to plant research:

ApplicationValidation StatusRecommended DilutionSample Preparation Notes
ELISA (EIA)Validated1:500-1:2000Fresh tissue extracts recommended
Western BlotValidated1:1000Include phosphatase inhibitors
ImmunohistochemistryPotential application1:100-1:500Optimize fixation conditions
ImmunoprecipitationPotential application1:50-1:200Verify specificity with controls

These applications enable researchers to study expression patterns, protein localization, and protein-protein interactions involving OsPP2C48 . When designing experiments, researchers should include appropriate positive and negative controls to ensure antibody specificity.

How should researchers optimize Western Blot protocols for Os05g0358500 Antibody?

Optimizing Western Blot protocols for Os05g0358500 Antibody requires attention to several methodological details:

  • Sample preparation:

    • Extract proteins from rice tissues using a buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, and protease inhibitor cocktail

    • Include phosphatase inhibitors (e.g., sodium fluoride, sodium orthovanadate) to preserve phosphorylation states

    • Maintain samples at 4°C throughout extraction to prevent degradation

  • Gel electrophoresis parameters:

    • Use 10-12% SDS-PAGE gels for optimal resolution

    • Load 20-50 μg of total protein per lane

    • Include molecular weight markers spanning 25-75 kDa range

  • Transfer and blocking optimization:

    • Transfer to PVDF membranes at 100V for 1 hour or 30V overnight at 4°C

    • Block with 5% non-fat dry milk in TBST for 1 hour at room temperature

    • For phosphorylation studies, substitute milk with 3-5% BSA in TBST

  • Antibody incubation:

    • Dilute primary antibody 1:1000 in blocking buffer

    • Incubate overnight at 4°C with gentle agitation

    • Wash 4 times for 5 minutes each with TBST

    • Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000) for 1 hour

  • Signal development and troubleshooting:

    • Use enhanced chemiluminescence (ECL) detection

    • Optimize exposure time to avoid saturation

    • If background is high, increase washing stringency or further dilute antibody

What experimental design considerations should be made when studying Os05g0358500 under stress conditions?

When investigating OsPP2C48 responses to stress conditions, researchers should implement the following experimental design:

  • Stress treatment standardization:

    • Apply consistent stress treatments (drought, salt, cold, heat) with precise parameters

    • Include time-course sampling to capture dynamic responses

    • Maintain unstressed controls under identical conditions except for the stress variable

  • Comprehensive analysis approach:

    • Combine protein expression analysis (using Os05g0358500 Antibody) with transcript analysis

    • Monitor phosphatase activity in parallel with protein levels

    • Identify downstream targets by phosphoproteomic analysis

  • Experimental controls:

    • Include biological replicates (minimum n=3) for statistical validity

    • Use multiple reference genes/proteins for normalization

    • Include other PP2C family members as specificity controls

  • Data analysis framework:

    • Apply appropriate statistical tests for time-course experiments

    • Use correlation analysis between protein levels, activity, and phenotypic responses

    • Consider multivariate analysis to identify relationships between multiple parameters

Similar to antibody-antigen binding studies in other systems, which have shown that environmental factors can significantly affect protein activity and interactions , researchers should carefully control experimental conditions when working with plant stress responses.

How can researchers validate the specificity of Os05g0358500 Antibody?

Validating antibody specificity is crucial for reliable experimental outcomes. Researchers should implement these methodological approaches:

  • Molecular validation:

    • Compare observed band size with predicted molecular weight (approximately 33 kDa)

    • Perform peptide competition assays using the immunizing peptide

    • Test antibody against recombinant OsPP2C48 protein

    • Include knockout/knockdown samples as negative controls

  • Cross-reactivity assessment:

    • Test antibody against closely related PP2C family members

    • Evaluate reactivity across different rice varieties or related species

    • Perform epitope mapping to identify the specific binding region

  • Orthogonal validation:

    • Correlate immunodetection results with mRNA expression data

    • Compare localization patterns with GFP-tagged OsPP2C48

    • Validate protein-protein interactions using alternative methods

This comprehensive validation approach ensures that experimental findings accurately reflect OsPP2C48 biology and is consistent with best practices in antibody validation for research applications.

What strategies are recommended for investigating OsPP2C48 protein-protein interactions?

To elucidate the interactome of OsPP2C48, researchers should employ multiple complementary approaches:

  • Co-immunoprecipitation (Co-IP) methodology:

    • Use Os05g0358500 Antibody coupled to protein A/G beads

    • Extract proteins under non-denaturing conditions to preserve interactions

    • Include appropriate controls (pre-immune serum, IgG control)

    • Identify interacting partners by mass spectrometry

  • Yeast two-hybrid screening:

    • Use OsPP2C48 as bait against rice cDNA library

    • Confirm interactions by reverse Y2H and in planta methods

    • Map interaction domains using truncated constructs

  • Bimolecular Fluorescence Complementation (BiFC):

    • Fuse OsPP2C48 to N-terminal fragment of fluorescent protein

    • Fuse candidate interactors to C-terminal fragment

    • Visualize interactions in rice protoplasts or tobacco leaves

    • Include appropriate controls to verify specificity

  • Quantitative interaction analysis:

    • Use surface plasmon resonance or microscale thermophoresis for kinetic measurements

    • Determine binding affinities (Kd values) for key interactions

    • Assess how environmental conditions affect interaction strength

These approaches should be applied systematically to build a comprehensive understanding of OsPP2C48 functional networks, similar to strategies used in antibody-antigen interaction studies that employ multiple validation methods .

How can researchers integrate Os05g0358500 Antibody into phosphatase activity studies?

Combining immunodetection with enzymatic activity measurements provides deeper insights into OsPP2C48 function:

  • Immunoprecipitation-coupled phosphatase assay:

    • Immunoprecipitate OsPP2C48 using Os05g0358500 Antibody

    • Measure phosphatase activity using synthetic substrates (e.g., pNPP)

    • Create a standard curve using recombinant PP2C phosphatase

    • Calculate specific activity (nmol/min/mg protein)

  • In situ activity-immunolocalization correlation:

    • Perform in-gel phosphatase assays on native PAGE

    • Transfer parallel gel for immunoblotting with Os05g0358500 Antibody

    • Correlate activity bands with immunoreactive bands

    • Analyze tissue/cellular distribution of active enzyme

  • Structure-function analysis:

    • Generate site-directed mutants of key catalytic residues

    • Compare immunodetection signal with phosphatase activity

    • Identify regulatory domains that affect activity but not antibody recognition

  • Activity regulation studies:

    • Investigate effects of cations (Mg2+, Mn2+) on enzyme activity

    • Test sensitivity to phosphatase inhibitors (okadaic acid, calyculin A)

    • Examine activity modulation by potential physiological regulators

The integration of these approaches provides a comprehensive view of both the abundance and functional state of OsPP2C48, informing its role in stress signaling pathways.

What approaches are recommended for quantitative analysis of OsPP2C48 expression?

For rigorous quantitative analysis of OsPP2C48 expression, researchers should implement:

  • Quantitative Western blot methodology:

    • Include standard curve with recombinant OsPP2C48 protein (5-100 ng range)

    • Use fluorescent secondary antibodies for wider linear detection range

    • Apply appropriate normalization (total protein stain or stable reference proteins)

    • Analyze using dedicated image quantification software

  • ELISA development parameters:

    • Optimize coating conditions (concentration, buffer, time)

    • Establish standard curves with purified protein

    • Determine assay sensitivity and working range

    • Evaluate intra- and inter-assay coefficients of variation

  • Data normalization strategies:

Normalization MethodAdvantagesLimitationsRecommended Use Case
Single reference proteinSimpleSubject to variationPreliminary studies
Multiple reference proteinsMore robustRequires validationComprehensive studies
Total protein normalizationIndependent of reference variationRequires additional stepsComparative studies
Absolute quantificationHighest accuracyRequires standardsMechanistic studies
  • Statistical analysis framework:

    • Apply appropriate statistical tests based on data distribution

    • Account for technical and biological variability

    • Include power analysis to determine sample size requirements

    • Consider hierarchical analysis for nested experimental designs

This quantitative approach has parallels with methods used in antibody-antigen binding prediction models, where accurate quantification is essential for developing predictive algorithms .

How can researchers investigate post-translational modifications of OsPP2C48?

Post-translational modifications (PTMs) often regulate phosphatase activity and interactions. Recommended approaches include:

  • Phosphorylation analysis:

    • Immunoprecipitate OsPP2C48 with Os05g0358500 Antibody

    • Analyze by mass spectrometry to identify phosphorylation sites

    • Generate phospho-specific antibodies for key regulatory sites

    • Correlate phosphorylation status with enzymatic activity

  • Other PTM investigations:

    • Examine ubiquitination status using anti-ubiquitin co-immunoprecipitation

    • Assess SUMOylation through similar co-IP approaches

    • Investigate redox regulation via non-reducing SDS-PAGE

    • Analyze membrane association through fractionation studies

  • PTM dynamics in response to stimuli:

    • Monitor changes in modification patterns during stress responses

    • Correlate PTM changes with subcellular localization shifts

    • Develop phosphomimetic and phospho-deficient mutants to assess functional impact

  • Interaction between multiple PTMs:

    • Map the crosstalk between different modifications

    • Establish temporal sequences of modification events

    • Identify regulatory proteins that modulate OsPP2C48 PTM status

These approaches can reveal how OsPP2C48 activity is fine-tuned in response to environmental and developmental signals, providing insights into its regulatory mechanisms.

What are best practices for storage and handling of Os05g0358500 Antibody to maintain optimal performance?

To ensure consistent and reliable results with Os05g0358500 Antibody, researchers should follow these storage and handling guidelines:

  • Storage conditions:

    • Store antibody at -20°C for long-term stability

    • Avoid repeated freeze-thaw cycles (aliquot upon receipt)

    • For working solutions, store at 4°C for up to 2 weeks

    • Add preservatives (0.02% sodium azide) for solutions stored longer than 1 week

  • Quality control procedures:

    • Test each new lot against a standard sample

    • Maintain positive control lysates at -80°C

    • Document lot-to-lot variation in sensitivity and specificity

    • Establish minimum performance criteria for experimental use

  • Handling precautions:

    • Avoid contamination with bacteria or fungi

    • Centrifuge briefly before opening to collect liquid

    • Use sterile pipette tips and tubes

    • Minimize exposure to light for fluorescently-labeled antibodies

  • Performance monitoring over time:

    • Track signal-to-noise ratio across experiments

    • Compare with initial baseline performance

    • Document any decrease in sensitivity

    • Replace antibody when performance declines below acceptable threshold

Careful attention to these practices will ensure consistent experimental outcomes and maximize the useful life of the antibody, reflecting best practices in antibody handling that apply across research applications.

How can researchers troubleshoot weak or non-specific signals when using Os05g0358500 Antibody?

When encountering signal issues with Os05g0358500 Antibody, researchers should systematically address potential causes:

ProblemPossible CausesRecommended Solutions
Weak signalInsufficient proteinIncrease loading amount, optimize extraction
Low antibody concentrationIncrease primary antibody concentration
Inadequate incubationExtend incubation time, optimize temperature
Protein degradationAdd fresh protease inhibitors, reduce processing time
High backgroundInsufficient blockingIncrease blocking time/concentration
Excessive antibodyDilute primary and secondary antibodies
Inadequate washingIncrease number/duration of washes
Cross-reactivityPre-absorb antibody, use more stringent conditions
Multiple bandsDegradation productsAdd protease inhibitors, reduce sample processing time
Isoforms or splice variantsVerify with RNA analysis, use isoform-specific controls
Post-translational modificationsConfirm with appropriate treatments (phosphatase, etc.)
No signalIncorrect secondary antibodyVerify host species compatibility
Target protein absentConfirm expression in sample type
Epitope masked or denaturedTry alternative extraction methods

This troubleshooting approach is consistent with methodologies used in antibody-based research for various experimental systems and should be adapted to the specific conditions of plant protein research.

What factors should researchers consider when adapting Os05g0358500 Antibody protocols for different rice varieties or related species?

When extending the use of Os05g0358500 Antibody beyond its validated applications, researchers should consider:

  • Sequence conservation analysis:

    • Align OsPP2C48 sequences across target species

    • Focus on epitope region conservation

    • Predict cross-reactivity based on sequence homology

    • Verify antibody recognition in silico before experimental testing

  • Protocol adaptation strategies:

    • Adjust protein extraction methods for different tissue types

    • Optimize antibody concentration for each species

    • Modify blocking conditions based on background levels

    • Adjust incubation times based on signal strength

  • Validation in new systems:

    • Include positive control samples from validated species

    • Compare signal patterns and intensities

    • Confirm specificity through peptide competition

    • Verify signal correlation with transcript levels

  • Cross-species comparison design:

    • Process all samples simultaneously when possible

    • Use consistent protein amounts across species

    • Apply normalization strategies appropriate for cross-species comparisons

    • Consider evolutionary relationships when interpreting results

These considerations ensure reliable detection of OsPP2C48 orthologs across different plant species and varieties, enabling comparative studies of this important signaling component.

How can Os05g0358500 Antibody be integrated into high-throughput or automated research platforms?

Researchers implementing high-throughput studies with Os05g0358500 Antibody should consider:

  • Automated Western blot systems:

    • Optimize protein loading concentration and antibody dilution

    • Establish standard curves for quantitative analysis

    • Program appropriate incubation times and washing steps

    • Implement automated image analysis protocols

  • High-content screening applications:

    • Adapt immunofluorescence protocols for multi-well format

    • Standardize fixation and permeabilization conditions

    • Optimize primary and secondary antibody concentrations

    • Develop image analysis algorithms for automated quantification

  • Protein array implementation:

    • Determine optimal spotting concentration for target protein

    • Establish appropriate blocking conditions

    • Optimize antibody dilution to minimize background

    • Develop normalization strategies for cross-array comparisons

  • Quality control for high-throughput applications:

    • Include standard samples on each plate/membrane

    • Implement regular calibration procedures

    • Monitor assay drift over time

    • Establish acceptance criteria for each run

These approaches enable large-scale studies of OsPP2C48 expression across multiple conditions, varieties, or mutant lines, accelerating discovery in plant stress response research.

What methodological approaches are recommended for investigating the role of OsPP2C48 in stress signaling pathways?

To elucidate OsPP2C48's role in stress signaling networks, researchers should implement:

  • Genetic manipulation strategies:

    • Generate knockout/knockdown lines using CRISPR/Cas9 or RNAi

    • Create overexpression lines with native or tagged protein

    • Develop inducible expression systems for temporal control

    • Generate phosphatase-dead mutants to distinguish scaffold from enzymatic functions

  • Signaling pathway analysis:

    • Identify upstream regulators through reverse genetics

    • Map downstream targets via phosphoproteomics

    • Monitor key pathway components using specific antibodies

    • Correlate OsPP2C48 levels/activity with stress tolerance phenotypes

  • Temporal dynamics investigation:

    • Perform time-course analyses following stress application

    • Monitor protein levels, localization, and PTMs

    • Correlate changes with transcriptional responses

    • Develop mathematical models of signaling dynamics

  • Multi-stress comparison:

    • Apply standardized drought, salt, cold, and heat stresses

    • Compare phosphatase activity and protein levels across stresses

    • Identify stress-specific interaction partners

    • Elucidate cross-talk mechanisms between pathways

This integrated approach enables researchers to position OsPP2C48 within the broader stress response network and identify its specific contributions to stress tolerance mechanisms.

How can machine learning approaches be incorporated into research using Os05g0358500 Antibody?

Machine learning (ML) can enhance research utilizing Os05g0358500 Antibody through:

  • Image analysis applications:

    • Train ML algorithms to quantify immunofluorescence patterns

    • Develop automated Western blot band detection and quantification

    • Implement deep learning for protein localization pattern recognition

    • Create models for tissue-specific expression pattern analysis

  • Predictive modeling:

    • Develop models predicting OsPP2C48 expression under various conditions

    • Create interaction networks based on co-immunoprecipitation data

    • Model phosphatase activity based on protein levels and PTMs

    • Predict stress responses based on OsPP2C48 dynamics

  • Data integration frameworks:

    • Combine antibody-based protein data with transcriptomics and phenomics

    • Implement dimensionality reduction for complex datasets

    • Apply unsupervised learning to identify patterns across experimental conditions

    • Develop supervised models for phenotypic prediction

Similar to approaches used in antibody-antigen binding prediction models , ML can reveal patterns in protein expression data that might not be apparent through conventional analysis. Recent advances in machine learning for protein interaction prediction, such as those demonstrated by AttABseq and AbAgIntPre , could be adapted to understand OsPP2C48 interactions in plant systems.

What considerations should be made when designing experiments to investigate OsPP2C48 involvement in developmental processes?

When studying OsPP2C48's role in development, researchers should implement:

  • Developmental stage sampling strategy:

    • Collect tissues from key developmental transitions

    • Include multiple organs and tissue types

    • Establish precise developmental staging criteria

    • Maintain consistent sampling procedures across stages

  • Tissue-specific expression analysis:

    • Perform immunohistochemistry with Os05g0358500 Antibody

    • Correlate protein localization with developmental markers

    • Compare with promoter-reporter gene studies

    • Implement laser capture microdissection for spatial resolution

  • Developmental phenotyping approach:

    • Characterize knockout/overexpression lines across life cycle

    • Document morphological, physiological, and molecular phenotypes

    • Employ non-destructive imaging for temporal dynamics

    • Apply quantitative trait analysis for subtle phenotypes

  • Interaction with hormonal pathways:

    • Investigate crosstalk with plant hormones (auxin, cytokinin, ABA)

    • Monitor OsPP2C48 levels in hormone-treated samples

    • Test sensitivity of mutant lines to hormone applications

    • Identify hormone-responsive elements in promoter region

This developmental perspective complements stress-related studies, providing a comprehensive understanding of OsPP2C48 function throughout the plant life cycle.

How might Os05g0358500 Antibody contribute to crop improvement research?

The application of Os05g0358500 Antibody in crop improvement research offers several promising avenues:

  • Germplasm screening approaches:

    • Screen diverse rice varieties for OsPP2C48 expression levels

    • Correlate protein abundance with stress tolerance traits

    • Identify natural variants with altered expression patterns

    • Develop high-throughput immunoassays for breeding programs

  • Transgenic crop development:

    • Monitor OsPP2C48 expression in transgenic lines

    • Verify protein levels in different tissues and conditions

    • Correlate expression with intended phenotypic improvements

    • Assess stability of expression across generations

  • Marker-assisted selection integration:

    • Develop antibody-based markers for protein expression

    • Correlate protein markers with genetic markers

    • Evaluate protein expression as a predictor of field performance

    • Implement in breeding programs for stress tolerance

  • Comparative analysis across cereals:

    • Extend studies to wheat, maize, and other important crops

    • Identify conserved and divergent aspects of PP2C function

    • Apply knowledge from rice to improve other cereals

    • Develop cross-reactive antibodies for comparative studies

These applications demonstrate how fundamental research using Os05g0358500 Antibody can translate to practical crop improvement strategies, particularly for enhancing stress resilience in rice and related cereals.

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