Issue 11, 2023

A modular RNA delivery system comprising spherical nucleic acids built on endosome-escaping polymeric nanoparticles

Abstract

Nucleic acid therapeutics require delivery systems to reach their targets. Key challenges to be overcome include avoidance of accumulation in cells of the mononuclear phagocyte system and escape from the endosomal pathway. Spherical nucleic acids (SNAs), in which a gold nanoparticle supports a corona of oligonucleotides, are promising carriers for nucleic acids with valuable properties including nuclease resistance, sequence-specific loading and control of receptor-mediated endocytosis. However, SNAs accumulate in the endosomal pathway and are thus vulnerable to lysosomal degradation or recycling exocytosis. Here, an alternative SNA core based on diblock copolymer PMPC25–PDPA72 is investigated. This pH-sensitive polymer self-assembles into vesicles with an intrinsic ability to escape endosomes via osmotic shock triggered by acidification-induced disassembly. DNA oligos conjugated to PMPC25–PDPA72 molecules form vesicles, or polymersomes, with DNA coronae on luminal and external surfaces. Nucleic acid cargoes or nucleic acid-tagged targeting moieties can be attached by hybridization to the coronal DNA. These polymeric SNAs are used to deliver siRNA duplexes against C9orf72, a genetic target with therapeutic potential for amyotrophic lateral sclerosis, to motor neuron-like cells. By attaching a neuron-specific targeting peptide to the PSNA corona, effective knock-down is achieved at doses of 2 particles per cell.

Graphical abstract: A modular RNA delivery system comprising spherical nucleic acids built on endosome-escaping polymeric nanoparticles

Supplementary files

Article information

Article type
Paper
Submitted
24 Nov 2022
Accepted
04 Apr 2023
First published
10 May 2023
This article is Open Access
Creative Commons BY license

Nanoscale Adv., 2023,5, 2941-2949

A modular RNA delivery system comprising spherical nucleic acids built on endosome-escaping polymeric nanoparticles

A. Garcia-Guerra, R. Ellerington, J. Gaitzsch, J. Bath, M. Kye, M. A. Varela, G. Battaglia, M. J. A. Wood, R. Manzano, C. Rinaldi and A. J. Turberfield, Nanoscale Adv., 2023, 5, 2941 DOI: 10.1039/D2NA00846G

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