Citation: Shihui Qiu, Chuanjie Shen, Xiaoyu Jian, Yunxing Lu, Zhaoduo Tong, Zhenhua Wu, Hongju Mao, Jianlong Zhao. Single-cell level point mutation analysis of circulating tumor cells through droplet microfluidics[J]. Chinese Chemical Letters, ;2022, 33(5): 2701-2704. doi: 10.1016/j.cclet.2021.08.128 shu

Single-cell level point mutation analysis of circulating tumor cells through droplet microfluidics

Shihui Qiu ^{a, b} ,
Chuanjie Shen ^{a, b} ,
Xiaoyu Jian ^a ,
Yunxing Lu ^{a, b} ,
Zhaoduo Tong ^{a, b} ,
Zhenhua Wu ^{a, *,} ,
Hongju Mao ^{a, b, *,} ,
Jianlong Zhao ^{a, b}

a.
State Key State Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
b.
Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

wuzhx@mail.sim.ac.cn

hjmao@mail.sim.ac.cn

Received Date: 10 July 2021
Revised Date: 15 August 2021
Accepted Date: 31 August 2021
Available Online: 6 September 2021

Figures(4)

Tumor heterogeneity plays a critical role in the determination of appropriate anticancer therapy. As circulating tumor cells (CTCs) contain all tumor-related information, the genetic changes on CTCs could help us choose the appropriate treatments for different patients. Single-base mutations are very common in tumor genetic changes which may result in drug resistance. Here, we introduce a single-cell mutation detection platform based on droplet microfluidics. This platform integrates cell capsulation, cell lysis, polymerase chain reaction (PCR) and the observation process. The droplets' generation speed is over 6000 per minute and more than 600 cells could be encapsulated in one second. To verify the performance of our platform in practical use, we performed the mutation analysis of 4 kinds of cells with our platform and noted that the genetic status of each single cell was clearly discriminated. Moreover, these results agreed with those from direct sequencing. Compared with other forms of single-cell mutation detection techniques, our platform has high throughput, short experimental time and less experimental operations.
- Single cell,
- CTCs,
- Point mutation,
- EGFR,
- Microfluidics
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