TY - JOUR
T1 - Automated Laser-Assisted Single-Cell Sorting for Cell Functional and RNA Sequencing
AU - Wang, Yuntong
AU - Xue, Ying
AU - Wang, Huan
AU - Qu, Yue
AU - Zhang, Kunlong
AU - Shang, Lindong
AU - Liang, Peng
AU - Chen, Fuyuan
AU - Tang, Xusheng
AU - Luo, Wei
AU - Chin, Lip Ket
AU - Feng, Shilun
AU - Li, Bei
N1 - Publisher Copyright:
© 2025 American Chemical Society.
PY - 2025/1
Y1 - 2025/1
N2 - 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.
AB - 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.
KW - laser-induced forward transfer
KW - micropores
KW - RNA sequencing
KW - single-cell analysis
KW - single-cell sorting
UR - http://www.scopus.com/inward/record.url?scp=85216126165&partnerID=8YFLogxK
U2 - 10.1021/acssensors.4c02417
DO - 10.1021/acssensors.4c02417
M3 - Journal article
AN - SCOPUS:85216126165
SN - 2379-3694
JO - ACS Sensors
JF - ACS Sensors
ER -