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Development of a high-throughput platform for screening lipid nanoparticles for mRNA delivery

机译:高通量平台的发展筛选脂质纳米粒子对mRNA交付

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mRNA lipid nanoparticles (LNPs) are at the forefront of nucleic acid intracellular delivery, as exemplified by the recent emergency approval of two mRNA LNP-based COVID-19 vaccines. The success of an LNP product largely depends on the systematic optimisation of the four lipidic components, namely the ionisable lipid, PEG lipid, structural and helper lipids. However, the in vitro screening of novel lipidic components and LNP compositions is limited by the low-throughput of LNP preparation. To address these issues, we herein present an automated high-throughput screening platform to select novel ionisable lipids and corresponding LNPs encapsulating mRNA in vitro. This high-throughput platform employs a lab-based automated liquid handling system, amenable to high-throughput (up to 384 formulations per plate and several plates per run) and allows precise mixing and reproducible mRNA LNP preparation which ensures a direct head-to-head comparison of hundreds and even thousands of novel LNPs. Most importantly, the robotic process has been successfully applied to the screening of novel LNPs encapsulating mRNA and has identified the same novel mRNA LNP leads as those from microfluidics-mixing technology, with a correlation coefficient of 0.8751. This high-throughput platform can facilitate to narrow down the number of novel ionisable lipids to be evaluated in vivo. Moreover, this platform has been integrated into a fully-automated workflow for LNP property control, physicochemical characterisation and biological evaluation. The high-throughput platform may accelerate proprietary lipid development, mRNA LNP lead optimisation and candidate selection to advance preclinical mRNA LNP development to meet urgent global needs.
机译:信使rna脂质纳米粒(lnp)的核酸的细胞内交货,以最近的紧急批准两个信使rna LNP-based COVID-19疫苗。LNP产品的成功很大程度上取决于系统优化的四种油脂的组件,即ionisable脂质、挂钩脂质、结构和助手脂质。体外筛选新型油脂的组件和inp成分是有限的低吞吐量LNP的准备。这些问题,我们在此提出一个自动的高通量筛选平台选择小说ionisable脂类和相应的现况封装mRNA体外。平台采用实验室自动化液体处理系统,适合高通量(每盘384配方和几个盘子每运行)并允许精确的混合和可再生的mRNA LNP准备,确保了成千的直接一对一的比较甚至成千上万的小说现况。机器人过程已经成功应用小说的筛查lnp封装mRNA和已经确定相同的小说mRNA LNP线索作为来自microfluidics-mixing技术,相关系数为0.8751。高通量平台可以帮助缩小小说的数量ionisable脂质评价体内。被集成到一个完全自动化的工作流LNP产权控制,物理化学描述和生物学评价。高通量平台可能会加速专有的脂质发展,信使rna LNP领先优化和候选人选择前进临床前mRNA现况发展以满足紧急全球需求。

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