FBA7 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
FBA7 antibody; At4g26520 antibody; M3E9.50Fructose-bisphosphate aldolase 7 antibody; cytosolic antibody; AtFBA7 antibody; EC 4.1.2.13 antibody
Target Names
FBA7
Uniprot No.

Target Background

Function
FBA7 Antibody plays a critical role in the metabolic processes of glycolysis and gluconeogenesis.
Database Links

KEGG: ath:AT4G26520

STRING: 3702.AT4G26520.1

UniGene: At.32173

Protein Families
Class I fructose-bisphosphate aldolase family
Subcellular Location
Cytoplasm, cytosol.
Tissue Specificity
Highly expressed in flowers, and at lower levels in rosettes leaves and cauline leaves.

Q&A

What is the 7A7 antibody and what is its primary target?

7A7 is a monoclonal antibody (mAb) that specifically targets mouse epidermal growth factor receptor (EGFR). It's frequently used in immunocompetent mouse models to study EGFR signaling pathways and has demonstrated antitumor effects in experimental models. This antibody is particularly valuable for researchers investigating anti-EGFR therapies in immunocompetent settings, especially when evaluating the contribution of both EGFR pharmacological blockade and immune-mediated mechanisms to therapeutic outcomes .

What biological models are most suitable for studying anti-EGFR antibody mechanisms?

The most suitable biological models for studying anti-EGFR monoclonal antibody mechanisms include immunocompetent mice, Fc receptor γ-chain deficient mice (Fcer1g-/-), and molecular tools such as F(ab')2 bivalent fragments. These models allow researchers to dissect the contribution of EGFR signaling blockade versus Fc-mediated effector functions. Immunocompetent models are particularly valuable as they preserve the full spectrum of immune interactions that may contribute to therapeutic efficacy .

How can antibody specificity be evaluated and optimized for research applications?

Antibody specificity can be evaluated through multiple complementary approaches:

  • High-throughput sequencing and computational analysis: This approach helps identify distinct binding modes associated with specific ligands

  • Phage display experiments: Select antibodies against various combinations of closely related ligands

  • Cross-reactivity testing: Test antibody binding against panels of structurally similar targets

  • Biophysics-informed modeling: Use computational approaches to predict and design antibodies with customized specificity profiles

These methods can help researchers generate antibodies with either highly specific binding to a single target or cross-specificity for multiple targets as required by the experimental design .

What methods are available for studying antibody pharmacokinetics in mouse models?

Two primary methods have been validated for studying antibody pharmacokinetics in mouse models:

  • Radiolabeling method: Using 125I-labeled antibodies followed by radioactivity measurement. This approach provides precise quantification but involves handling radioactive materials.

  • ELISA method: A safer and more accessible alternative that has shown comparable results to the radiolabeling method. For example, with 7A7 mAb, the elimination half-life (t1/2β) was determined to be 23.1h using the radiolabeling method and 23.9h using ELISA, demonstrating the reliability of the ELISA approach .

The ELISA method typically involves:

  • Coating plates with the target antigen (e.g., recombinant EGFR)

  • Creating standard curves with known antibody concentrations

  • Testing plasma samples at various dilutions

  • Detection using appropriate secondary antibodies and substrates

How should biodistribution studies be designed to understand antibody tissue localization?

Biodistribution studies should be designed to track antibody accumulation in major organs over time. For research with the 7A7 antibody, the following methodology has proven effective:

  • Administer radiolabeled antibody intravenously

  • Collect major organs (lungs, liver, kidneys, spleen) at defined time points

  • Measure radioactivity in each organ to determine antibody accumulation

  • Express results as percentage of injected dose per gram of tissue

  • Include both early (minutes to hours) and late (24-48+ hours) time points

This approach revealed that 7A7 mAb accumulates predominantly in lungs even 48 hours post-injection, which has implications for its effectiveness in lung cancer models such as the Lewis lung carcinoma model .

What are the key considerations when using F(ab')2 fragments versus whole antibodies?

When designing experiments comparing F(ab')2 fragments with whole antibodies, researchers should consider:

  • Pharmacokinetic differences: F(ab')2 fragments typically have a significantly shorter half-life (approximately 10-fold shorter) than whole antibodies, requiring adjusted dosing regimens

  • Functional differences: F(ab')2 fragments retain antigen binding but lack Fc-mediated effector functions

  • Experimental timing: Due to the shorter half-life, experimental timepoints may need adjustment

  • Dose equivalence: Molar equivalent doses should be used for proper comparison

  • Control groups: Include both whole antibody and F(ab')2 fragment groups to distinguish between EGFR blockade effects and Fc-mediated functions

How can computational approaches be integrated with experimental data to design antibodies with custom specificity profiles?

Researchers can integrate computational approaches with experimental data through:

  • Biophysics-informed modeling: Develop models trained on experimentally selected antibodies that associate distinct binding modes with specific ligands

  • Energy function optimization: Design novel antibody sequences by optimizing energy functions associated with desired binding modes

  • Predictive validation: Use the model to predict outcomes for new ligand combinations before experimental testing

  • Iterative refinement: Use experimental validation results to further refine computational models

This integrated approach has successfully generated antibodies with both highly specific binding to individual ligands and cross-specificity for multiple ligands, even when these ligands are chemically very similar .

How do species differences impact antibody pharmacokinetics and what implications does this have for translational research?

Species differences in antibody pharmacokinetics have important implications for translational research:

  • Antigen binding differences: The antibody-antigen binding affinity may vary between species due to differences in target protein sequences

  • FcRn receptor interaction: The neonatal Fc receptor (FcRn) interaction, which is crucial for antibody half-life, can differ between species

  • Immunogenicity: Foreign antibodies can trigger immune responses that accelerate clearance

  • Target distribution: Expression patterns of target antigens may vary between species

Despite these potential differences, studies have shown similarities in the pharmacokinetics of murine and human anti-EGFR antibodies, such as 7A7 and nimotuzumab, including biexponential plasma disappearance curves and similar excretion pathways. These similarities support the relevance of murine models for studying human antibody therapies, though species-specific factors should be considered during translational interpretation .

What are the recommended protocols for validating antibody specificity in Western blot applications?

To ensure antibody specificity in Western blot applications, researchers should follow these validation steps:

  • Use multiple antibodies: Test antibodies targeting different epitopes of the same protein (e.g., N-terminus versus C-terminus)

  • Include appropriate controls: Use samples with known expression levels, knockout/knockdown samples, and overexpression systems

  • Optimize blocking conditions: Use 5% skimmed milk in PBS with 0.1% Tween-20 for 1 hour at room temperature

  • Titrate antibody concentrations: Test a range of dilutions to determine optimal signal-to-noise ratio

  • Verify band molecular weight: Confirm that detected bands match the expected molecular weight of the target protein

  • Perform densitometry: Use non-saturated images and appropriate loading controls (e.g., β-ACTIN) for quantification

What approaches can resolve data contradictions when different antibodies targeting the same protein yield inconsistent results?

When facing contradictory results with different antibodies targeting the same protein:

  • Epitope mapping: Determine the exact binding sites of each antibody to understand if they recognize different isoforms or conformations

  • Validation with genetic models: Use knockout/knockdown systems to confirm specificity

  • Immunoprecipitation followed by mass spectrometry: Identify all proteins pulled down by each antibody

  • Alternative detection methods: Confirm results using orthogonal techniques like immunofluorescence or ELISA

  • Protein-specific considerations: For proteins with multiple isoforms (like FBXW7), use isoform-specific antibodies and controls

What are the critical quality control parameters for antibody validation in immunoprecipitation experiments?

For robust immunoprecipitation experiments, researchers should monitor these critical quality control parameters:

  • Antibody amount optimization: Typically 2 μg of antibody per 1 mg of protein lysate provides optimal results

  • Bead selection: A/G agarose beads are suitable for most rabbit and mouse antibodies

  • Incubation conditions: Overnight incubation at 4°C on a rotating wheel optimizes antigen capture

  • Washing stringency: Balance between removing non-specific interactions while preserving specific ones

  • Input control: Always save an aliquot of total lysate as a reference point

  • Negative controls: Include isotype-matched control antibodies or pre-immune serum

  • Elution conditions: Optimize based on downstream applications and antibody-antigen binding characteristics

How should differences in tissue accumulation patterns be interpreted when evaluating antibody therapeutic potential?

Differences in tissue accumulation patterns provide important insights into an antibody's therapeutic potential:

  • Target organ enrichment: Preferential accumulation in specific organs (e.g., 7A7's high lung accumulation) can indicate potential efficacy for diseases affecting those organs

  • Clearance pathway identification: Accumulation in liver and kidneys often indicates the primary routes of antibody elimination

  • Blood-tissue barrier penetration: Limited accumulation in certain tissues may indicate restricted access due to biological barriers

  • Correlation with efficacy: Compare biodistribution data with efficacy results in disease models to establish relationships

  • Tumor targeting: For cancer applications, compare tumor-to-normal tissue ratios to assess targeting specificity

For example, the high accumulation of 7A7 mAb in lungs aligns with its demonstrated anti-metastatic effect in the Lewis lung carcinoma model, suggesting that this natural biodistribution pattern enhances its therapeutic activity in lung cancer models .

What experimental approaches can distinguish between EGFR signaling blockade and Fc-mediated effects in antibody therapeutics?

To distinguish between EGFR signaling blockade and Fc-mediated effects:

  • Compare whole antibodies with F(ab')2 fragments: F(ab')2 retains target binding but lacks Fc-mediated functions

  • Use Fc receptor knockout models: Test in Fcer1g-/- mice to eliminate Fc-gamma receptor-mediated effects

  • Engineer Fc variants: Compare antibodies with mutations that selectively disable specific Fc functions

  • Cellular depletion studies: Deplete specific immune cell populations to determine their contribution to therapeutic effects

  • Combination approaches: Use EGFR kinase inhibitors alongside antibodies to parse overlapping mechanisms

Research with 7A7 has demonstrated that comparing the whole antibody with its F(ab')2 fragment is a powerful approach to separate EGFR blockade from immune-mediated effects, particularly when combined with appropriate pharmacokinetic normalization to account for different elimination rates .

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