体内
计算生物学
固体脂质纳米粒
高通量筛选
生物
药物输送
生物信息学
纳米技术
生物技术
材料科学
作者
Lulu Xue,Alex G. Hamilton,Gan Zhao,Zebin Xiao,Rakan El‐Mayta,Xuexiang Han,Ningqiang Gong,Xinhong Xiong,Junchao Xu,Christian G. Figueroa‐Espada,Sarah J. Shepherd,Alvin J. Mukalel,Mohamad‐Gabriel Alameh,Jiaxi Cui,Karin Wang,Andrew E. Vaughan,Drew Weissman,Michael J. Mitchell
标识
DOI:10.1038/s41467-024-45422-9
摘要
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 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI