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Programmable Surface Receptor-Mediated Cell Targeting with Designer Antibody-Routed Nanoparticles (DARTs)

Oct 2026 · bioRxiv · 0 citations · 83 references
Biology

TL;DR

The DART platform provides a universal tool for rapidly profiling unique, targetable antigens and leveraging them for precision editing applications, and function in the fetal murine nervous system, empirically identifying CD56 as a previously uncharacterized surface antigen enabling editing in hard-to-transduce neural populations.

Abstract

Precise in vivo delivery remains a massive barrier to therapeutic genome editing. Recently, major strides have been made towards cell type-specific delivery, with potential to improve the safety profiles of future gene therapies. However, programming such targeted tropism is limited by the minimal repertoire of scFv sequences, nanobodies, and viral fusogens that enable cell-type specificity, and the slow, iterative design-build-test cycle required to identify and optimize them. Here, we overcome this bottleneck by developing the designer antibody-routed (DART) platform: a modular, plug-and-play tool that decouples delivery vehicle production from tropism engineering. By presenting generic, bioorthogonal antibody-binding interfaces on the surfaces of enveloped particles, the DART system enables conjugation of those particles with off-the-shelf antibodies that direct cell entry without requiring genetic or chemical manipulation. Designer antibody-routed virus-like particles (DARTs) leverage this facile conjugation method to interrogate and identify transduction-competent surface antigens across cell types. They enable combinatorial targeting and the discovery of antigens that synergistically enhance transduction. Finally, DARTs function in the fetal murine nervous system, empirically identifying CD56 as a previously uncharacterized surface antigen enabling editing in hard-to-transduce neural populations. Overall, the DART platform provides a universal tool for rapidly profiling unique, targetable antigens and leveraging them for precision editing applications.

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