Exceeding 80% efficiency of single-bead encapsulation in microdroplets through hydrogel coating-assisted close-packed ordering

Author:

Chen Long,Zhao Yi,Li Jie,Xiong Chenwei,Xu Yi,Tang Chengren,Zhang Rong,Zhang Jingwei,Mi Xianqiang,Liu Yifan

Abstract

AbstractHigh-efficiency encapsulation of single microbeads in microdroplets is essential for droplet-based high-throughput analysis such as single-cell genomics and digital immunoassays. However, the demand has been hindered by the Poisson statistics of beads arbitrarily distributed in the droplet partitions. Although techniques such as inertial ordering have been proven useful to improve bead loading efficiency, a general method that requires no advanced microfluidics and owns compatibility with diverse bead types is still highly desired. In this paper, we present hydrogel coating-assisted close-packed ordering, a simple strategy that improves the bead loading efficiency to over 80%. In the strategy, the raw beads are coated with a thin layer of hydrogel to become slightly compressible and lubricious so that they can be close-packed in a microfluidic device and loaded into droplets in a synchronized manner. We first show that the thin hydrogel coating can be realized conveniently through either jetting microfluidics or vortex emulsification. When loading single 30-μm polystyrene beads, we experimentally determined an overall efficiency of 81% with the proposed hydrogel coating strategy. Of note, the strategy is not sensitive to the selection of raw beads and can tolerate their polydispersity. Using the strategy, we achieve a cell capture rate of 68.8% when co-encapsulating HEK293T cells and polydispersed barcoded beads for single-cell transcriptomics. Further sequencing results verify that the reversible hydrogel coating does not affect the RNA capture behavior of the encapsulated barcoded beads. Given its convenience and broad compatibility, we anticipate that our strategy can be applied to various droplet-based high-throughput assays to drastically improve their efficiency.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3