ATC401 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Components: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
ATC401 antibody; At5g21222 antibody; F13M11 antibody; Pentatricopeptide repeat-containing protein At5g21222 antibody; SNF1-like protein kinase AtC401 antibody
Target Names
ATC401
Uniprot No.

Q&A

Basic Research Questions

How to validate antigen specificity and binding kinetics of ATC401 in preclinical models?

ATC401’s specificity is validated using flow cytometry with engineered cell lines (e.g., HEK293T overexpressing target antigens) and competitive binding assays. For kinetic analysis:

  • Perform surface plasmon resonance (SPR) or biolayer interferometry (BLI) to measure affinity (KD) and binding kinetics (kon/koff) .

  • Use CRISPR-modified tumor cell lines (antigen-positive vs. antigen-negative) to confirm on-target effects in vitro and in vivo .

What in vitro assays best characterize ATC401’s functional activity?

  • NF-κB luciferase reporter assays to quantify agonistic/antagonistic activity (e.g., for immune checkpoint or costimulatory targets) .

  • Primary T-cell activation assays: Measure IFN-γ secretion or proliferation via ELISA/Luminex after co-culture with antigen-expressing cells .

How to address off-target binding risks during antibody development?

  • Screen against human tissue microarrays via immunohistochemistry (IHC) to identify cross-reactivity .

  • Combine with proteomic peptide phage display libraries to predict non-target interactions .

Advanced Research Questions

How to design in vivo studies to evaluate ATC401’s efficacy in resistant tumor models?

  • Use patient-derived xenografts (PDX) or organoid models with confirmed antigen heterogeneity .

  • Implement dual-flank tumor models (antigen-positive vs. antigen-negative tumors) to isolate antigen-dependent effects .

  • Monitor response via non-invasive imaging (e.g., bioluminescence for tumor burden, PET/CT for ADC biodistribution) .

What strategies mitigate cytokine release syndrome (CRS) or hepatotoxicity with ATC401?

  • Engineer conditional activation: Design ATC401 as a bispecific antibody requiring tumor antigen co-engagement (e.g., PD-L1 × 4-1BB) to localize activity .

  • Conduct dose-escalation studies in nonhuman primates (NHPs) with cytokine profiling (IL-6, TNF-α) and liver function tests .

How to resolve discrepancies between preclinical and clinical efficacy data?

FactorPreclinical CheckClinical Correlation
Antigen densityQuantify via IHC H-score in PDX modelsValidate biopsy samples pre-treatment
Immune microenvironmentUse humanized NSG mice with adoptively transferred PBMCsAssess tumor-infiltrating lymphocytes (TILs) in patient biopsies
PharmacokineticsCompare half-life in NHPs vs. humansAdjust dosing regimens in Phase I trials
Table 1: Bridging preclinical-clinical data gaps for ATC401 .

Methodological Best Practices

  • Target Validation: Use CRISPR-Cas9 knockout in isogenic cell lines to confirm antigen dependency .

  • Toxicity Screening: Prioritize NHPs for evaluating thromboembolic risks (common with CD40L/4-1BB antibodies) .

  • Data Reproducibility: Adopt CiteAb or Antibodypedia to benchmark ATC401 against peer-reviewed antibodies .

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