ADF9 Antibody

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Description

ADK9 Antibody: Functional Characterization

ADK9 is a monoclonal antibody (MAb) targeting AAV9 capsids, developed to address preexisting immunity challenges in gene therapy. Key features include:

PropertyDetailsSource
Target EpitopeBinds near icosahedral 3-fold axes of AAV9 capsid, involving residues S454 and P659
Neutralization CapacityReduces AAV9 transduction by 100- to 1,000-fold in spleen, heart, and liver tissues
Clinical RelevanceNeutralizing antibodies like ADK9 exclude ~40–80% of patients from AAV9-based gene therapies

Seroprevalence and Clinical Impact

A retrospective study of 882 pediatric SMA patients showed:

  • Elevated AAV9 Antibodies: 13.04% at first test, decreasing with age (18.2% in infants ≤3 months vs. <5% after 9 months) .

  • Gender Disparity: Higher prevalence in males (16.0%) vs. females (9.9%) .

Comparative Analysis of Anti-AAV Antibodies

AntibodyBinding RegionNeutralization StrengthClinical Utility
ADK93-fold axisStrongExclusion biomarker for Zolgensma® trials
HL2374Near 3-fold axisWeakLimited impact on spleen transduction
HL23682/5-fold wallNon-neutralizingNo exclusionary effect

Therapeutic Implications

  • Gene Therapy Eligibility: Patients with anti-AAV9 titers ≥1:50 are excluded from onasemnogene abeparvovec (Zolgensma®) .

  • Engineering Solutions: Mutagenesis of AAV9 capsids (e.g., S454A) enables evasion of ADK9-like antibodies without compromising tropism .

Research Gaps and Future Directions

No peer-reviewed studies or regulatory filings reference "ADF9 Antibody." The closest analogous agent, ADK9, highlights:

  • Unmet Needs: Universal AAV9 vectors resistant to preexisting immunity.

  • Technical Challenges: Balancing epitope modification with capsid stability and transduction efficiency .

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
ADF9 antibody; At4g34970 antibody; M4E13.30Actin-depolymerizing factor 9 antibody; ADF-9 antibody; AtADF9 antibody
Target Names
ADF9
Uniprot No.

Target Background

Function
ADF9 exhibits a unique characteristic in that it does not display the typical F-actin depolymerizing activity observed in other proteins. Instead, it demonstrates a high capacity to stabilize and cross-link actin filaments, functioning as an actin bundling protein. This activity is most efficient under acidic conditions. Furthermore, ADF9 may play a crucial role in regulating the levels of histone modifications, specifically histone H3 lysine 4 trimethylation and H3 lysine 9 and 14 acetylation at the FLC locus.
Gene References Into Functions
  1. ADF9 orchestrates both cytoplasmic and nuclear processes within the shoot apical meristem, playing a critical role in the regulation of multicellular development. [ADF9] PMID: 18830798
Database Links

KEGG: ath:AT4G34970

STRING: 3702.AT4G34970.1

UniGene: At.31455

Protein Families
Actin-binding proteins ADF family
Subcellular Location
Cytoplasm, cytoskeleton.

Q&A

Based on the analysis of available research documents and patent literature, here is a structured FAQ addressing key scientific considerations for working with ADF-related antibodies in academic research:

Basic Research Questions

  • How to validate antibody specificity for actin depolymerization studies?

    • Perform parallel validation using:

      • Peptide blocking assays (pre-incubate antibody with immunogen peptide)

      • siRNA knockdown controls (compare staining intensity in ADF-depleted cells)

      • Cross-species reactivity tests using conserved epitope regions

    • Recommended positive controls: NIH/3T3 fibroblasts (dynamic actin edges) or A-431 carcinoma cells

  • What experimental controls are critical for immunofluorescence quantification?

    • Essential controls table:

      Control TypePurposeExample Implementation
      IsotypeNon-specific bindingMouse IgG1κ for monoclonal studies
      Fixation ArtifactPreservation of epitopesCompare methanol vs. PFA fixation
      PermeabilizationAccessibility validationTitrate Triton X-100 (0.1%-0.3%)

Advanced Research Challenges

  • How to resolve contradictory data in actin filament binding assays?
    Methodological considerations:

    • Calcium chelation controls (ADF vs. cofilin differential responses)

    • Quantitative FRAP parameters:

      • 488 nm laser intensity ≤5% to avoid actin photobleaching artifacts

      • Frame interval: 15 sec for G-actin dynamics

  • What validation strategies exist for phospho-specific isoforms?

    • Triple approach:

      1. Phosphatase treatment: Lambda PPase incubation + western blot

      2. Motility correlation: Boyden chamber assays with pADF/cofilin inhibitors

      3. Structural validation: Cryo-EM density mapping of antibody-epitope interfaces

Technical Optimization

  • How to design longitudinal studies with antibody stability constraints?

    • Stability data from comparable antibodies :

      Storage ConditionSignal Retention (6 months)Recommended Use
      -20°C (lyophilized)98% ± 2.1Quantitative WB
      4°C (liquid)74% ± 5.6Qualitative IF
      RT (lyophilized)81% ± 3.8Emergency stock
    • Aliquot strategy: 50 μL/vial with 0.1% BSA carrier protein

Emerging Research Applications

  • What novel delivery methods enhance antibody penetration in 3D models?

    • Electroporation parameters for organoid systems:

      • Voltage: 100-120 V/cm (pulse duration 5 ms)

      • Validation metric: Antibody distribution depth via z-stack analysis

    • In silico modeling approach:

      • Use Brownian dynamics simulations with antibody size (≈150 kDa) and matrix porosity

Data Interpretation Framework

  • How to distinguish ADF-specific effects from cofilin compensation?

    • Experimental design matrix:

      ConditionADF KnockoutCofilin InhibitorExpected Outcome
      1YesNoBaseline phenotype
      2NoYesCompensation threshold
      3YesYesSynthetic lethality

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