OSR8 Antibody

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Description

Contextual Clarification

The term "OSR8" appears in Search Result as part of patient identifiers (e.g., OSR 1 to OSR 10) in a clinical study investigating NK cell recovery after haploidentical hematopoietic stem cell transplantation (HSCT). In this context, "OSR" likely refers to a patient cohort or study-specific coding system rather than an antibody.

Typographical Errors

  • OSR8 vs. OSBPL8: Search Result references OSBPL8, an oxysterol-binding protein-related protein, for which a polyclonal antibody (HPA001309) is commercially available. No connection exists between OSBPL8 and the term "OSR8."

  • OSR8 vs. CCR8: Search Result and describe anti-CCR8 antibodies (e.g., S-531011 and 22H9), which target the chemokine receptor CCR8 on regulatory T cells for cancer immunotherapy. These are unrelated to "OSR8."

Patient or Study Codes

In , "OSR" prefixes denote individual patients in a clinical trial (e.g., OSR 1, OSR 2). The table includes parameters such as:

UPNAgeDiagnosisGraft SourceNK Cells Infused (×10⁶/kg)
OSR 133sAMLPB19.9
OSR 876MDSPB17.2

No antibody named "OSR8" is referenced in this study.

Antibody Nomenclature Standards

  • Antibodies are typically named based on target antigens (e.g., anti-OspA in ), functional properties (e.g., anti-CCR8 in ), or developmental codes (e.g., LA-2 in ).

  • The Observed Antibody Space (OAS) database ( ) catalogs over 1 billion antibody sequences but does not list "OSR8."

Relevant Antibody Candidates

While "OSR8 Antibody" remains unidentified, the following antibodies from the search results are noteworthy:

AntibodyTargetApplicationSource
S-531011CCR8Cancer immunotherapy
Anti-OspABorrelia OspALyme disease diagnosis/therapy ,
Anti-Orf8 IgGSARS-CoV-2 Orf8COVID-19 serology
HPA001309OSBPL8Immunohistochemistry

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
OSR8; Os09g0558100; LOC_Os09g38560; OJ1065_E04.3; Hydrophobic protein OSR8
Target Names
OSR8
Uniprot No.

Target Background

Database Links

KEGG: osa:4347832

STRING: 39947.LOC_Os09g38560.1

UniGene: Os.3767

Protein Families
UPF0057 (PMP3) family
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is OSR8 Antibody and what target does it recognize?

OSR8 Antibody (product code CSB-PA885408XA01OFG) is a polyclonal antibody raised in rabbits that specifically recognizes the OSR8 protein from Oryza sativa subsp. japonica (Rice). The antibody targets recombinant Oryza sativa subsp. japonica OSR8 protein (UniProt accession: Q9LRI7). It is purified using antigen affinity methods and stored in a buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative . The polyclonal nature of this antibody means it recognizes multiple epitopes on the target protein, potentially providing more robust detection across various experimental conditions compared to monoclonal alternatives.

What are the validated applications for OSR8 Antibody?

OSR8 Antibody has been validated for enzyme-linked immunosorbent assay (ELISA) and Western blot (WB) applications. These techniques enable researchers to detect and quantify OSR8 protein in various sample types . For Western blot applications, researchers should optimize blocking conditions, antibody dilutions, and detection methods to ensure specific binding and minimize background. Similarly, for ELISA applications, optimization of coating concentrations, blocking buffers, and detection systems is essential for accurate and reproducible results.

How should researchers validate OSR8 Antibody specificity for their experimental systems?

To validate OSR8 Antibody specificity, researchers should employ a multi-faceted approach:

  • Positive and negative controls: Include samples known to express or lack OSR8 protein

  • Peptide competition assays: Pre-incubate the antibody with excess target peptide to confirm signal reduction

  • Cross-reactivity testing: Test against related proteins to evaluate potential off-target binding

  • Knockout/knockdown validation: Compare signals between wild-type and OSR8-deficient samples

This comprehensive validation approach is particularly important for polyclonal antibodies, which may exhibit batch-to-batch variation in terms of specificity and sensitivity . Researchers should document these validation steps thoroughly to ensure reproducibility and reliability of experimental results.

What are the optimal storage and handling conditions to maintain OSR8 Antibody functionality?

For optimal OSR8 Antibody functionality, researchers should adhere to the following storage and handling guidelines:

  • Long-term storage: Store at -20°C or -80°C immediately upon receipt

  • Avoid repeated freeze-thaw cycles: Aliquot the antibody upon first thaw to minimize degradation

  • Working dilutions: Prepare fresh working dilutions on the day of experiment

  • Temperature considerations: Keep antibody on ice during experimental procedures

  • Buffer compatibility: Consider the compatibility of the storage buffer (50% Glycerol, 0.01M PBS, pH 7.4) with your experimental system

Maintaining proper storage conditions is crucial for preserving antibody binding capacity and specificity over time. Researchers should carefully document storage conditions and duration when reporting experimental results to account for potential variability.

How can researchers optimize OSR8 Antibody dilutions for Western blot applications?

Optimizing OSR8 Antibody dilutions for Western blot requires a systematic approach:

  • Titration experiment: Test a range of dilutions (e.g., 1:500, 1:1000, 1:2000, 1:5000) against standard samples

  • Signal-to-noise ratio analysis: Quantify specific signal versus background for each dilution

  • Exposure time optimization: Adjust exposure times to identify dilutions that produce linear response ranges

  • Blocking optimization: Test different blocking agents (e.g., BSA, non-fat milk) for compatibility with OSR8 Antibody

The optimal dilution will provide sufficient signal intensity while minimizing non-specific background binding. Similar to approaches used in other antibody optimization protocols, researchers should consider both primary and secondary antibody concentrations in tandem to achieve optimal results .

What strategies can improve OSR8 Antibody detection sensitivity in low-expression samples?

For detecting low-abundance OSR8 protein, researchers can implement these sensitivity-enhancing strategies:

  • Signal amplification systems: Employ biotin-streptavidin systems or tyramide signal amplification

  • Enhanced chemiluminescence (ECL): Use high-sensitivity ECL substrates for Western blot detection

  • Sample enrichment: Perform immunoprecipitation to concentrate OSR8 protein before analysis

  • Digital imaging optimization: Utilize longer exposure times and high-sensitivity cameras

  • Optimized sample preparation: Include phosphatase and protease inhibitors to preserve low-abundance proteins

These approaches can significantly improve detection limits for OSR8 protein, enabling researchers to study samples with naturally low expression levels or under experimental conditions that reduce protein expression .

How can researchers address non-specific binding issues with OSR8 Antibody?

Non-specific binding can be addressed through several methodological approaches:

  • Blocking optimization: Test various blocking agents (BSA, non-fat milk, commercial blockers) at different concentrations

  • Washing stringency adjustment: Modify salt concentration, detergent levels, and washing duration

  • Antibody dilution optimization: Increase antibody dilution to reduce non-specific interactions

  • Pre-absorption: Pre-incubate antibody with proteins from non-target species to absorb cross-reactive antibodies

  • Secondary antibody evaluation: Test alternative secondary antibodies or detection systems

Blocking AgentRecommended ConcentrationAdvantagesLimitations
Non-fat milk3-5%Inexpensive, effective for most applicationsMay contain phosphatases, biotin
BSA1-3%Well-defined composition, minimal interferenceMore expensive, less effective for some applications
Commercial blockersAs directedOptimized formulations, low backgroundCost, proprietary composition

Selecting the appropriate blocking agent and conditions is crucial for reducing background while maintaining specific signal detection .

What are the most effective validation methods to confirm antibody-antigen specificity in immunoassays?

To rigorously validate OSR8 Antibody-antigen specificity, researchers should implement the following methods:

  • Genetic validation: Test antibody in OSR8 knockout/knockdown systems

  • Epitope mapping: Identify specific recognition sites through peptide arrays or deletion mutants

  • Orthogonal detection methods: Confirm results using alternative detection techniques

  • Immunoprecipitation-mass spectrometry: Verify pulled-down proteins match expected targets

  • Cross-reactivity profiling: Test against protein panels to assess potential off-target binding

These validation approaches provide complementary evidence of antibody specificity, building confidence in experimental results. For polyclonal antibodies like OSR8 Antibody, batch-to-batch validation is particularly important to account for potential variation in epitope recognition .

How can OSR8 Antibody be adapted for plant tissue immunohistochemistry?

Adapting OSR8 Antibody for plant tissue immunohistochemistry requires specialized protocols:

  • Tissue fixation optimization: Test different fixatives (e.g., paraformaldehyde, glutaraldehyde) for preserving OSR8 antigenicity

  • Antigen retrieval methods: Evaluate heat-induced vs. enzymatic antigen retrieval for optimal epitope exposure

  • Tissue permeabilization: Optimize detergent concentration and incubation times for plant cell wall penetration

  • Autofluorescence reduction: Implement strategies to reduce plant tissue autofluorescence

  • Signal amplification: Consider tyramide signal amplification for detecting low-abundance OSR8

These methodological considerations address the unique challenges of plant tissue immunohistochemistry, including cell wall barriers and high autofluorescence. Researchers should systematically optimize each parameter while maintaining appropriate controls to ensure specific detection of OSR8 protein in plant tissues.

What analytical approaches can quantify OSR8 protein expression levels across different rice cultivars?

Quantitative analysis of OSR8 protein expression across rice cultivars requires rigorous analytical approaches:

  • Standardized extraction protocols: Develop uniform protein extraction methods applicable across cultivars

  • Internal loading controls: Select stable reference proteins for normalization

  • Quantitative Western blotting: Implement standard curves with recombinant OSR8 protein

  • Multiplexed ELISA: Develop assays enabling simultaneous detection of OSR8 and reference proteins

  • Image analysis software: Utilize specialized software for densitometric analysis with appropriate background subtraction

When comparing expression across cultivars, researchers should ensure:

  • Equivalent developmental stages and tissue types

  • Consistent growth conditions prior to sampling

  • Multiple biological and technical replicates

  • Statistical validation of observed differences

This comprehensive approach enables reliable quantitative comparison of OSR8 expression patterns across different rice varieties, potentially revealing correlations with agronomic traits or environmental responses .

How can computational modeling inform OSR8 Antibody epitope recognition patterns?

Computational approaches to understand OSR8 Antibody epitope recognition include:

  • Structural modeling: Generate 3D models of OSR8 protein to predict surface-exposed epitopes

  • Molecular dynamics simulations: Analyze potential conformational changes affecting epitope accessibility

  • Epitope prediction algorithms: Apply bioinformatics tools to identify immunogenic regions

  • Binding energy calculations: Estimate antibody-antigen interaction strengths for candidate epitopes

  • Cross-reactivity prediction: Identify potentially cross-reactive proteins through sequence and structural similarity

These computational methods can guide experimental epitope mapping and help predict potential cross-reactivity. Modern approaches combining biophysics-informed modeling with experimental data provide powerful tools for understanding antibody specificity profiles . Researchers can use these predictions to design validation experiments or engineer antibodies with enhanced specificity.

What next-generation sequencing approaches can characterize polyclonal OSR8 Antibody repertoires?

Advanced NGS approaches for characterizing polyclonal OSR8 Antibody repertoires include:

  • Antibody repertoire sequencing: Sequence antibody-encoding genes from immunized rabbits

  • CDR3 diversity analysis: Focus on complementarity-determining regions to identify binding motifs

  • Clustering algorithms: Group similar sequences to identify major antibody families

  • Phylogenetic analysis: Trace clonal evolution during the immune response

  • Bioinformatic integration: Correlate sequence features with binding properties

These approaches provide deeper understanding of polyclonal antibody composition and can guide future monoclonal antibody development. NGS data analysis software can process millions of antibody sequences, enabling visualization of sequence diversity, CDR length distributions, and germline gene usage patterns .

How can OSR8 Antibody contribute to rice stress response research?

OSR8 Antibody offers valuable research applications for investigating rice stress responses:

  • Protein expression profiling: Monitor OSR8 protein levels under various stress conditions (drought, salinity, pathogen exposure)

  • Protein modification analysis: Detect post-translational modifications of OSR8 protein during stress responses

  • Protein-protein interaction studies: Use co-immunoprecipitation to identify stress-induced interaction partners

  • Subcellular localization changes: Track potential relocalization of OSR8 protein under stress conditions

  • Comparative cultivar analysis: Evaluate differences in OSR8 dynamics between stress-tolerant and sensitive cultivars

These applications enable researchers to investigate the potential role of OSR8 in stress adaptation mechanisms, potentially contributing to the development of more resilient rice varieties .

What methodological approaches can investigate OSR8 protein post-translational modifications?

Investigating OSR8 post-translational modifications (PTMs) requires specialized methodological approaches:

  • Phospho-specific detection: Combine OSR8 Antibody with phospho-staining or phospho-specific antibodies

  • 2D gel electrophoresis: Separate OSR8 protein isoforms based on charge and molecular weight

  • Mass spectrometry analysis: Identify specific modification sites after immunoprecipitation

  • PTM-specific enrichment: Use phospho-peptide enrichment prior to analysis

  • Pharmacological inhibitors: Apply kinase or phosphatase inhibitors to manipulate modification states

These approaches can reveal regulatory mechanisms affecting OSR8 protein function under different conditions or developmental stages. Researchers should carefully control for experimental conditions that might artificially alter PTM status during sample preparation.

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