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Title: | Automated amplification-free digital RNA detection platform for rapid and sensitive SARS-CoV-2 diagnosis |
Authors: | Shinoda, Hajime Iida, Tatsuya Makino, Asami Yoshimura, Mami Ishikawa, Junichiro Ando, Jun Murai, Kazue Sugiyama, Katsumi Muramoto, Yukiko ![]() ![]() ![]() Nakano, Masahiro ![]() ![]() Kiga, Kotaro Cui, Longzhu Nureki, Osamu Takeuchi, Hiroaki Noda, Takeshi ![]() ![]() ![]() Nishimasu, Hiroshi Watanabe, Rikiya |
Author's alias: | 篠田, 肇 飯田, 龍也 牧野, 麻美 吉村, 麻実 石川, 潤一郎 安藤, 潤 村井, 和枝 杉山, 勝美 村本, 裕紀子 中野, 雅博 氣駕, 恒太朗 崔, 龍洙 濡木, 理 武内, 寛明 野田, 岳志 西増, 弘志 渡邉, 力也 |
Keywords: | Lab-on-a-chip Nanobiotechnology Single-molecule biophysics |
Issue Date: | 2022 |
Publisher: | Springer Nature |
Journal title: | Communications Biology |
Volume: | 5 |
Thesis number: | 473 |
Abstract: | In the ongoing COVID-19 pandemic, rapid and sensitive diagnosis of viral infection is a critical deterrent to the spread of SARS-CoV-2. To this end, we developed an automated amplification-free digital RNA detection platform using CRISPR-Cas13a and microchamber device (opn-SATORI), which automatically completes a detection process from sample mixing to RNA quantification in clinical specimens within ~9 min. Using the optimal Cas13a enzyme and magnetic beads technology, opn-SATORI detected SARS-CoV-2 genomic RNA with a LoD of < 6.5 aM (3.9 copies μL⁻¹), comparable to RT-qPCR. Additionally, opn-SATORI discriminated between SARS-CoV-2 variants of concern, including alpha, delta, and omicron, with 98% accuracy. Thus, opn-SATORI can serve as a rapid and convenient diagnostic platform for identifying several types of viral infections. |
Description: | 新型コロナウイルスの超高感度・全自動迅速検出装置の開発 --汎用的な感染症診断装置としての社会実装に期待--. 京都大学プレスリリース. 2022-05-27. |
Rights: | © The Author(s) 2022 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
URI: | http://hdl.handle.net/2433/274105 |
DOI(Published Version): | 10.1038/s42003-022-03433-6 |
PubMed ID: | 35614128 |
Related Link: | https://www.kyoto-u.ac.jp/ja/research-news/2022-05-27-2 |
Appears in Collections: | Journal Articles |

This item is licensed under a Creative Commons License