Automated Laser-Assisted Single-Cell Sorting for Cell Functional and RNA Sequencing

IF 8.2 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Yuntong Wang, Ying Xue, Huan Wang, Yue Qu, Kunlong Zhang, Lindong Shang, Peng Liang, Fuyuan Chen, Xusheng Tang, Wei Luo, Lip Ket Chin, Shilun Feng, Bei Li
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引用次数: 0

Abstract

Accurate and efficient sorting of single target cells is crucial for downstream single-cell analysis, such as RNA sequencing, to uncover cellular heterogeneity and functional characteristics. However, conventional single-cell sorting techniques, such as manual micromanipulation or fluorescence-activated cell sorting, do not match current demands and are limited by low throughput, low sorting efficiency and precision, or limited cell viability. Here, we report an automated, highly efficient single-cell sorter, integrating laser-induced forward transfer (LIFT) with a high-throughput picoliter micropore array. The micropore array was surface-functionalized to manipulate liquid surface tension, facilitating the formation of single-cell picoliter droplets in the micropores to realize automated and highly efficient (>80%) single-cell isolation. Using an in-house built microscopic system, rare target cells were identified and automatically retrieved by LIFT with precise sorting efficiency (about 100%) for downstream single-cell analysis while maintaining high cell viability (about 80%). As a case demonstration, we demonstrated the accurate sorting of rare transfected PC-9 cells and post-transfection cell culture, minimizing cell loss and the risk of contamination. Furthermore, we performed single-cell RNA sequencing and showed that high-quality single-cell transcriptome information was efficiently and reliably obtained during cell sorting, preventing additional costs due to low sorting accuracy. The single-cell sorter will become invaluable for single-cell analysis, laying the foundation for multiomics analysis and precision medicine research.

Abstract Image

用于细胞功能和RNA测序的自动激光辅助单细胞分选
准确和高效的单靶细胞分选对于下游单细胞分析(如RNA测序)至关重要,以揭示细胞异质性和功能特征。然而,传统的单细胞分选技术,如手工显微操作或荧光激活细胞分选,不符合当前的需求,并且受到低通量、低分选效率和精度或有限的细胞活力的限制。在这里,我们报告了一种自动化,高效的单细胞分选器,将激光诱导正向转移(LIFT)与高通量皮升微孔阵列集成在一起。微孔阵列被表面功能化以控制液体表面张力,促进微孔中形成单细胞皮升液滴,实现自动化和高效(>80%)单细胞分离。使用内部构建的显微系统,稀有靶细胞被识别并通过LIFT自动检索,分选效率精确(约100%),用于下游单细胞分析,同时保持高细胞活力(约80%)。作为案例演示,我们展示了罕见的转染PC-9细胞的准确分选和转染后的细胞培养,最大限度地减少了细胞损失和污染风险。此外,我们进行了单细胞RNA测序,并证明在细胞分选过程中有效可靠地获得了高质量的单细胞转录组信息,避免了因分选准确性低而带来的额外成本。单细胞分选器将成为单细胞分析的无价之宝,为多组学分析和精准医学研究奠定基础。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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