High-throughput and ultra-sensitive single-cell profiling of multiple microRNAs and identification of human cancer.
- Resource Type
- Article
- Authors
- Li, Lu; Lu, Meng; Fan, Yuanyuan; Shui, Lingling; Xie, Shuting; Sheng, Renjie; Si, Haibin; Li, Qingling; Wang, Yiguo; Tang, Bo
- Source
- Chemical Communications. 9/11/2019, Vol. 55 Issue 70, p10404-10407. 4p.
- Subject
- *SINGLE molecule detection
*CELL analysis
*FOOD emulsions
*MICRORNA
*CANCER
- Language
- ISSN
- 1359-7345
We established an efficient method for single-cell miRNA analysis by droplet microfluidics, which has high sensitivity of single molecule detection and high throughput. Single-cell analysis of multiple miRNAs in various cells shows that miRNA expression is closely related to cancer type. CTC analysis shows that the method is applicable for rare cell analysis. [ABSTRACT FROM AUTHOR]