High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical models

Author:

Xue LuluORCID,Hamilton Alex G.ORCID,Zhao GanORCID,Xiao ZebinORCID,El-Mayta RakanORCID,Han XuexiangORCID,Gong NingqiangORCID,Xiong Xinhong,Xu JunchaoORCID,Figueroa-Espada Christian G.ORCID,Shepherd Sarah J.,Mukalel Alvin J.,Alameh Mohamad-GabrielORCID,Cui JiaxiORCID,Wang KarinORCID,Vaughan Andrew E.ORCID,Weissman Drew,Mitchell Michael J.ORCID

Abstract

AbstractLipid nanoparticles for delivering mRNA therapeutics hold immense promise for the treatment of a wide range of lung-associated diseases. However, the lack of effective methodologies capable of identifying the pulmonary delivery profile of chemically distinct lipid libraries poses a significant obstacle to the advancement of mRNA therapeutics. Here we report the implementation of a barcoded high-throughput screening system as a means to identify the lung-targeting efficacy of cationic, degradable lipid-like materials. We combinatorially synthesize 180 cationic, degradable lipids which are initially screened in vitro. We then use barcoding technology to quantify how the selected 96 distinct lipid nanoparticles deliver DNA barcodes in vivo. The top-performing nanoparticle formulation delivering Cas9-based genetic editors exhibits therapeutic potential for antiangiogenic cancer therapy within a lung tumor model in female mice. These data demonstrate that employing high-throughput barcoding technology as a screening tool for identifying nanoparticles with lung tropism holds potential for the development of next-generation extrahepatic delivery platforms.

Funder

Burroughs Wellcome Fund

U.S. Department of Health & Human Services | National Institutes of Health

Publisher

Springer Science and Business Media LLC

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