Hanna Andrew R, Shepherd Sarah J, Datto Gregory A, Navarro Isabel B, Ricciardi Adele S, Padilla Marshall S, Srikumar Neha, Zhang Shuran, Yamagata Hannah M, Meng Nova Y, Buser Joshua R, Mitchell Michael J, Issadore David A
Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104.
Department of Biochemistry and Biophysics, Philadelphia, PA 19104.
bioRxiv. 2025 May 29:2025.05.26.656157. doi: 10.1101/2025.05.26.656157.
Building on the success of lipid nanoparticles (LNPs) in vaccines, LNPs are being developed for a broad set of therapeutic applications by changing both the structures of the lipids used to formulate each LNP and their relative proportions. Because lipid synthesis and screening have been parallelized using combinatorial chemistry and LNP barcoding respectively, the manual and sequential microfluidic formulation of LNPs has become the rate-limiting step in the discovery process. In this work, we present a high-throughput, automated microfluidic platform capable of generating large, precisely-defined LNP libraries in parallel at a rate of one distinct formulation every three seconds. Each formulation is defined by varying the reagent flow ratios into one of eight microscale mixers using lithographically encoded fluidic resistors and dynamically controlled external pressure supplies. The microfluidic chip is integrated with custom robotic plate handling for the rapid collection of each distinct formulation. Using this platform, we produce a library of 96 formulations, which we profile physicochemically and evaluate in terms of both and transfection.
基于脂质纳米颗粒(LNP)在疫苗领域的成功,通过改变用于制备每种LNP的脂质结构及其相对比例,人们正在开发一系列广泛的治疗应用。由于脂质合成和筛选分别通过组合化学和LNP条形码技术实现了并行化,LNP的手动和顺序微流体制备已成为发现过程中的限速步骤。在这项工作中,我们展示了一个高通量、自动化的微流控平台,该平台能够以每三秒生成一种独特配方的速度并行生成大量精确界定的LNP文库。每种配方通过使用光刻编码的流体电阻器和动态控制的外部压力源来改变进入八个微尺度混合器之一的试剂流速比来定义。微流控芯片与定制的机器人板处理系统集成,用于快速收集每种独特的配方。使用该平台,我们生成了一个包含96种配方的文库,对其进行了物理化学表征,并在转染方面进行了评估。