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

Xue, Lulu; Hamilton, Alex G.; Zhao, Gan; Xiao, Zebin; El‐Mayta, Rakan; Han, Xuexiang; Gong, Ningqiang; Xiong, Xinhong; Xu, Junchao; Figueroa‐Espada, Christian G.; Shepherd, Sarah J.; Mukalel, Alvin J.; Alameh, Mohamad‐Gabriel; Cui, Jiaxi; Wang, Karin; Vaughan, Andrew E.; Weissman, Drew; Mitchell, Michael J.

doi:10.1038/s41467-024-45422-9

articleNature CommunicationsFeb 29, 2024GOLD OA

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

LXLulu Xue AGAlex G. Hamilton GZGan Zhao ZXZebin Xiao RERakan El‐Mayta

University of Pennsylvania · University of Electronic Science and Technology of China · +2 more institutions

PubMed

Indexed incrossrefdoajpubmed

Abstract

Lipid 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…

Citation impact

120

total citations

FWCI: 25.32
Percentile: 100%
References: 76

Citations per year

Authors

18

Topics & keywords

Topics

Keywords

Computational biology
In vivo
Biology
Solid lipid nanoparticle
High-throughput screening
Nanotechnology
Drug delivery
Bioinformatics

UN Sustainable Development Goals

Good health and well-being

No related works found for this paper.