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

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.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2025-01-22
DOI
https://doi.org/10.1021/acssensors.4c02417
Citations
4
Primary Topic
Innovative Microfluidic and Catalytic Techniques Innovation
Type
article
Field-Weighted Citation Impact
2.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Lindong Shang, L. K. Chin, Fuyuan Chen, Shilun Feng et al.
4 citations
ACS Sensors
Innovative Microfluidic and Catalytic Techniques Innovation
2.70
article

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

Lindong Shang, L. K. Chin, Fuyuan Chen, Shilun Feng, Xusheng Tang, Yuntong Wang, Yue Qu, Liang Peng, Bei Li, Xinliang Zhang, Huan Wang, Wei Luo, Ying Xue
article en
4 citations

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.

ACS SensorsVol. 10(2)
Hong Kong Polytechnic University (HK), City University of Hong Kong (HK), Chinese Academy of Sciences (CN), Stroke Association (GB), Changchun Institute of Optics, Fine Mechanics and Physics (CN), State Key Laboratory of Transducer Technology (CN), Advanced Optical Systems (United States) (US), Xi'an High Tech University (CN), Shanghai Institute of Microsystem and Information Technology (CN), University of Chinese Academy of Sciences (CN), State Key Laboratory of Applied Optics
National Natural Science Foundation of China, Peking University
Zero hunger
Openalex Percentile: Top 12%
Innovative Microfluidic and Catalytic Techniques Innovation
2.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.