Deterministic Cell Pairing with Simultaneous Microfluidic Merging and Sorting of Droplets

分类 配对 微流控 纳米技术 计算机科学 生物系统 物理 材料科学 生物 算法 超导电性 量子力学
作者
Kevin M. Joslin,Sophia Dateshidze,Seung Won Shin,Adam R. Abate,Iain C. Clark
出处
期刊: [Cold Spring Harbor Laboratory]
标识
DOI:10.1101/2025.06.27.662036
摘要

Cell-cell interactions drive immune activation, tissue repair, and stem cell fate, yet there are few methods that can create large numbers of pre-defined cell pairs to study cell crosstalk. Droplet microfluidics allows high-throughput compartmentalization of multiple cells, but random loading results in <1% of droplets containing the desired cell combinations. Here, we present a microfluidic device capable of deterministically isolating specific cell pairs using droplet merging and sorting ('merge-sorting'). The system detects target combinations using fluorescence and triggers simultaneous electrocoalescence and dielectrophoretic sorting. Using fluorescent dye-loaded droplets, we achieved 98.6% purity of merged and sorted droplets. In experiments using cells stained with three distinct dyes, >90% of desired cell pairs were recovered-compared to fewer than 1% when using random Poisson loading. To demonstrate the utility of this platform for extended co-culture studies, we merged cells in an alginate solution with calcium chloride droplets, producing monodisperse alginate hydrogels in which 92% of the beads contained target cell pairs that maintained viability over 18 hours. Compared to selective merger, this approach physically isolates desired droplets, eliminating unmerged contaminants and enabling cleaner downstream workflows. The device allows off-chip pre-incubation of droplets before pairing, the merger of reagents for multi-step assays, and the isolation of desired droplet pairs - capabilities not jointly accessible with existing approaches. In summary, merge-sort is a flexible platform to enrich specific combinations of droplets, cells, or particles for high-throughput studies of cell crosstalk.
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