AGP9 Antibody

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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
AGP9 antibody; At2g14890 antibody; T26I20.5 antibody; Classical arabinogalactan protein 9 antibody
Target Names
AGP9
Uniprot No.

Target Background

Function
AGP9 Antibody targets a proteoglycan that plays a significant role in various developmental processes. These processes include differentiation, cell-cell recognition, embryogenesis, and programmed cell death.
Database Links

KEGG: ath:AT2G14890

STRING: 3702.AT2G14890.1

UniGene: At.24946

Protein Families
Classical AGP family
Subcellular Location
Cell membrane; Lipid-anchor, GPI-anchor.
Tissue Specificity
Predominantly expressed in flowers and at a lower level in leaves and siliques.

Q&A

What is AGP9 antibody and how is it classified?

AGP9 belongs to the family of monoclonal antibodies used in research applications. Based on structural analysis of similar antibodies in this family (like AGP3 and AGP4), it is likely a mouse-derived monoclonal antibody . The specific subclass of AGP9 is not definitively established in the available literature, but related antibodies in the AGP series include both IgM (AGP3, AGP4) and IgG1 (others in the series) subclasses . Understanding the antibody subclass is critical for experimental design as it influences secondary antibody selection and downstream applications.

What is the typical specificity and binding profile of AGP9?

While specific binding epitopes for AGP9 are not explicitly described in the literature reviewed, antibodies in this class typically recognize specific molecular targets with high affinity. Related antibodies in the AGP series, such as AGP3 and AGP4, bind to repeating subunits in polyethylene glycol (PEG) polymers . When designing experiments with AGP9, researchers should validate its binding specificity through appropriate controls, including testing against known positive and negative samples to establish a binding profile.

What buffer conditions are optimal for AGP9 antibody storage?

Based on standard practices for similar monoclonal antibodies, AGP9 should be stored in a stabilizing buffer, typically phosphate-buffered saline (PBS) with potential addition of stabilizing proteins and preservatives . The optimal storage temperature is likely -20°C for long-term storage or 4°C for short-term use, with avoidance of repeated freeze-thaw cycles that may compromise antibody activity. Researchers should validate storage stability with functional assays when using the antibody after extended storage periods.

What are the validated research applications for AGP9 antibody?

Monoclonal antibodies in research are typically employed across various immunological techniques. While specific AGP9 applications are not exhaustively documented in the available literature, antibodies of its class are commonly used in techniques including:

ApplicationTypical Working DilutionValidation Method
Western Blot1:500-1:2000Positive and negative controls
Immunohistochemistry1:100-1:500Tissue-specific controls
ELISA1:1000-1:5000Standard curve verification
Flow Cytometry1:50-1:200Isotype controls
Immunoprecipitation1:50-1:200Input vs. IP comparisons

As with any research antibody, optimization for specific experimental conditions is essential for obtaining reliable results .

How should researchers design ELISA protocols utilizing AGP9 antibody?

When designing ELISA protocols with antibodies like AGP9, researchers should consider:

  • Coating concentration optimization: Typically starting with 1-5 μg/ml of capture antibody

  • Blocking buffer selection: Usually 1-5% BSA or milk proteins in PBS

  • Sample dilution series: To establish linear range of detection

  • Detection antibody concentration: Often 0.1-1 μg/ml

  • Substrate selection: Based on desired sensitivity and equipment

For sandwich ELISA applications, researchers should verify that AGP9 can be paired with other antibodies without epitope competition. When used as a detection antibody, appropriate enzyme conjugation (HRP or AP) should be confirmed . The protocol should include validation steps including positive and negative controls to ensure specificity.

What are the optimized immunohistochemistry (IHC) methods for AGP9?

For IHC applications with monoclonal antibodies like AGP9, researchers should:

  • Evaluate fixation effects: Compare results with different fixatives (formalin, methanol, acetone)

  • Optimize antigen retrieval: Test heat-induced (citrate, EDTA) and enzymatic methods

  • Determine optimal antibody concentration: Starting with 1:100-1:500 dilutions

  • Select appropriate detection system: HRP/DAB or fluorescent-based detection

  • Include proper controls: Isotype, positive tissue, and negative tissue controls

Researchers should validate staining patterns against known expression profiles of the target antigen and consider dual staining with other markers to confirm cell-type specificity of the signal .

How do phosphorylation states affect AGP9 binding to target epitopes?

This question addresses an advanced research consideration applicable to many antibodies targeting phosphorylated proteins. While specific information about AGP9 phospho-specificity is not provided in the search results, the principles of phospho-specific antibody binding are relevant.

Phosphorylation-specific antibodies like those targeting ASK1 (phospho S966) recognize specific phosphorylated residues within a protein. If AGP9 has similar properties, researchers should consider:

  • Phosphatase controls to confirm specificity

  • Comparing binding with and without phosphatase inhibitors

  • Using phospho-mimetic mutants (S/T to E/D) versus phospho-dead mutants (S/T to A) to validate specificity

  • Testing binding under conditions that alter cellular phosphorylation status

What strategies can resolve contradictory findings when using AGP9 antibody across different experimental platforms?

Researchers encountering contradictory results across platforms (e.g., positive Western blot but negative IHC) should implement a systematic troubleshooting approach:

  • Verify antibody specificity using multiple techniques:

    • Genetic approaches (knockout/knockdown)

    • Peptide competition assays

    • Orthogonal detection methods

  • Evaluate epitope accessibility issues:

    • Native vs. denatured conformations

    • Fixation and processing effects

    • Masked epitopes due to protein interactions

  • Implement protocol modifications:

    • Increase/decrease antibody concentration

    • Modify incubation conditions (time, temperature)

    • Test alternative detection systems

  • Consider biological variables:

    • Cell/tissue-specific post-translational modifications

    • Splice variants affecting epitope presence

    • Expression level variations

This methodological approach helps distinguish between technical artifacts and true biological variation .

How can researchers distinguish between specific and non-specific binding when using AGP9?

Distinguishing specific from non-specific binding is crucial for reliable interpretation of antibody-based experiments. Researchers should implement:

  • Appropriate controls:

    • Isotype-matched control antibodies

    • Pre-adsorption with immunizing peptide/antigen

    • Secondary antibody-only controls

    • Known positive and negative samples

  • Signal validation strategies:

    • Dose-dependent effects (titration experiments)

    • Competitive binding assays

    • Multiple antibodies targeting different epitopes

    • Correlation with mRNA expression

  • Technical optimizations:

    • Optimized blocking (5% BSA or milk proteins)

    • Increased washing stringency

    • Reduced primary antibody concentration

    • Use of additives to reduce non-specific interactions

These approaches provide methodological rigor that distinguishes research-grade analysis from basic applications .

What are the critical variables affecting AGP9 performance in multiplex immunoassays?

When incorporating antibodies like AGP9 into multiplex platforms, researchers should address:

  • Cross-reactivity assessment:

    • Test each antibody individually before multiplexing

    • Perform cross-adsorption experiments

    • Evaluate signal spillover between detection channels

  • Buffer compatibility:

    • Optimize buffer composition for all antibodies simultaneously

    • Test additives that enhance specificity without compromising sensitivity

    • Evaluate pH effects on multiple binding interactions

  • Spatial and temporal considerations:

    • Steric hindrance between antibodies targeting proximal epitopes

    • Sequential vs. simultaneous incubation strategies

    • Order-of-addition effects on signal detection

  • Data normalization approaches:

    • Internal standards for each analyte

    • Reference panel calibration

    • Statistical methods for adjusting channel-specific variations

This systematic approach ensures reliable data generation in complex multiplex systems .

How can AGP9 be applied in novel coronavirus research similar to the broadly neutralizing SC27 antibody?

Drawing parallels from advances in antibody-based viral research, such as the discovery of SC27 antibody against COVID-19 variants , researchers might consider:

  • Epitope mapping to determine if AGP9 recognizes conserved viral structures

  • Neutralization assays against multiple viral strains/variants

  • Structural analysis of antibody-antigen complexes to identify binding mechanisms

  • Combination therapy approaches with other antibodies for synergistic effects

The methodology employed in the SC27 research demonstrates how antibodies can be evaluated for broad neutralization capacity across viral variants by assessing binding to different spike protein conformations and performing competitive binding assays .

What considerations apply when adapting phage display technologies for AGP9-related antibody development?

Based on advances in phage display technology for antibody development , researchers working with or developing antibodies like AGP9 should consider:

  • Library design considerations:

    • Naive vs. immune libraries

    • Synthetic vs. natural CDR diversity

    • ScFv vs. Fab display formats

  • Selection strategy optimization:

    • Antigen presentation methods

    • Washing stringency progression

    • Elution conditions

    • Number of selection rounds

  • Screening approach:

    • High-throughput binding assays

    • Functional secondary screens

    • Next-generation sequencing integration

    • Single-clone validation methods

  • Antibody engineering possibilities:

    • Affinity maturation strategies

    • Format conversion (scFv to IgG)

    • Humanization approaches

    • Bispecific adaptations

These methodological considerations build upon established phage display principles that have led to 14 approved therapeutic antibodies and over 70 clinical-stage candidates .

What are the optimal approaches for quantitative analysis using AGP9 in multiplex assays?

For researchers implementing quantitative multiplex assays with antibodies like AGP9:

  • Standard curve design:

    • Recombinant protein standards with known concentrations

    • Matrix-matched calibrators (in similar biological background)

    • Multi-parameter curve fitting approaches (4PL or 5PL)

  • Dynamic range considerations:

    • Establishing lower and upper limits of quantification

    • Implementing auto-dilution protocols for out-of-range samples

    • Balancing sensitivity and specificity requirements

  • Validation parameters:

    • Precision assessment (intra-assay and inter-assay CV <15%)

    • Accuracy evaluation (spike recovery 80-120%)

    • Linearity across the reportable range (R² >0.98)

    • Lot-to-lot consistency monitoring

This methodological framework ensures that quantitative results are reliable, reproducible, and accurately represent the biological system under study .

How should researchers approach cross-species reactivity validation for AGP9?

When evaluating antibodies like AGP9 for use across multiple species:

  • Sequence homology analysis:

    • Alignment of target epitopes across species

    • Identification of conserved and variable regions

    • Prediction of binding based on similarity scores

  • Hierarchical validation approach:

    • Begin with in silico prediction

    • Progress to recombinant protein testing

    • Validate with endogenous protein from target species

    • Confirm with genetic knockout/knockdown controls

  • Application-specific validation:

    • Test species reactivity in the specific application context

    • Evaluate potential differences in required concentrations

    • Assess potential cross-reactivity with related proteins

This systematic approach prevents incorrect assumptions about cross-species reactivity that could lead to experimental artifacts or misinterpretation of results .

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