An Integrated, Multiplex Digital PCR-Based Microfluidic System for Quantification of Two Microrna Biomarkers for Diagnosis of Ovarian Cancer

Chi Chien Huang, Chia Yu Sung, Yi Sin Chen, Keng Fu Hsu, Gwo Bin Lee

研究成果: Conference contribution

摘要

Extracellular vesicle (EV)-derived microRNA (miRNA) has been reported to be a novel biomarker for diagnosis of ovarian cancer (OvCa). This study reported an integrated microfluidic system to automate extraction and quantification of EV-miRNA on a single chip within 120 min. The EV capture rate was 1.8-fold higher than our previous work (45%) due to the use of anti-CD63 beads and anti-EpCAM beads. Moreover, two miRNA biomarkers (i.e. miR-21 and miR-200a) were ultaneously detected and quantified with multiplex PCR while the resulting calibration curves exhibited a high linearity without false-positive signals, which could be carried out on a digital PCR module. With this approach, a precise and specific diagnostic tool for OvCa could be feasible.

原文English
主出版物標題35th IEEE International Conference on Micro Electro Mechanical Systems Conference, MEMS 2022
發行者IEEE Computer Society
頁面91-94
頁數4
ISBN(電子)9781665409117
DOIs
出版狀態Published - 2022
事件35th IEEE International Conference on Micro Electro Mechanical Systems Conference, MEMS 2022 - Tokyo, Japan
持續時間: 2022 1月 92022 1月 13

出版系列

名字IEEE Symposium on Mass Storage Systems and Technologies
2022-January
ISSN(列印)2160-1968

Conference

Conference35th IEEE International Conference on Micro Electro Mechanical Systems Conference, MEMS 2022
國家/地區Japan
城市Tokyo
期間22-01-0922-01-13

All Science Journal Classification (ASJC) codes

  • 硬體和架構
  • 電氣與電子工程

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