@inproceedings{a43afdf2185c4b4c8dad7a77f71b79df,
title = "An Integrated, Multiplex Digital PCR-Based Microfluidic System for Quantification of Two Microrna Biomarkers for Diagnosis of Ovarian Cancer",
abstract = "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. ",
author = "Huang, {Chi Chien} and Sung, {Chia Yu} and Chen, {Yi Sin} and Hsu, {Keng Fu} and Lee, {Gwo Bin}",
note = "Funding Information: The author would like to acknowledge financial support from the Ministry of Science and Technology (MOST), Taiwan (MOST 109-2221-E-007-006-MY3 and MOST 110-2221-E-087-010-MY3). Publisher Copyright: {\textcopyright} 2022 IEEE.; 35th IEEE International Conference on Micro Electro Mechanical Systems Conference, MEMS 2022 ; Conference date: 09-01-2022 Through 13-01-2022",
year = "2022",
doi = "10.1109/MEMS51670.2022.9699556",
language = "English",
series = "IEEE Symposium on Mass Storage Systems and Technologies",
publisher = "IEEE Computer Society",
pages = "91--94",
booktitle = "35th IEEE International Conference on Micro Electro Mechanical Systems Conference, MEMS 2022",
address = "United States",
}