Simple and rapid RNA detection using cationic copolymer-chaperoned MNAzyme (ACEzyme)
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- YOSHIDA Naoki
- Department of Life Science and Technology, Tokyo Institute of Technology, 4259 B-57 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8501, Japan
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- HANPANICH Orakan
- Department of Life Science and Technology, Tokyo Institute of Technology, 4259 B-57 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8501, Japan
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- HAYASHI Raito
- Department of Life Science and Technology, Tokyo Institute of Technology, 4259 B-57 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8501, Japan
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- SHIMADA Naohiko
- Department of Life Science and Technology, Tokyo Institute of Technology, 4259 B-57 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8501, Japan
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- MARUYAMA Atsushi
- Department of Life Science and Technology, Tokyo Institute of Technology, 4259 B-57 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8501, Japan
抄録
<p>Simple, rapid, and accurate diagnosis is indispensable for broadercontrol measures, search for routes of infection, and understanding treatment status of emerging infectious diseases. Although PCR and LAMP are commonly used, in cases where the pathogen is an RNA virus, there are issues in terms of simplicity and speed, as multi-step operations including reverse transcription (RT) and many reagents, as well as time and expertise in optimizing primers and probes, are required. To solve these issues, we propose the artificial chaperone-enhanced MNAzyme (ACEzyme), which combines the functions of the multicomponent nucleic acid enzyme (MNAzyme) and cationic copolymers. PLL-g-Dex has artificial nucleic acid chaperone activity and can act as a molecular sensing system. ACEzyme resulted in an approximately 2,700-fold increase in MNAzyme activity. In this study, we showed that ACEzyme was also useful when working with RNA targets with robust high-order structures, and had high selectivity for single nucleotide mutation detection.</p>
収録刊行物
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- Translational and Regulatory Sciences
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Translational and Regulatory Sciences 3 (3), 102-105, 2021
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詳細情報 詳細情報について
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- CRID
- 1390009018100982016
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- NII論文ID
- 130008133945
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- ISSN
- 24344974
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可