| Project/Area Number |
19H00901
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Medium-sized Section 34:Inorganic/coordination chemistry, analytical chemistry, and related fields
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| Research Institution | Tokyo University of Agriculture and Technology |
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Principal Investigator |
Kawano Ryuji 東京農工大学, 工学(系)研究科(研究院), 教授 (90401702)
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| Co-Investigator(Kenkyū-buntansha) |
鈴木 宏明 中央大学, 理工学部, 教授 (20372427)
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| Project Period (FY) |
2019-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥45,630,000 (Direct Cost: ¥35,100,000、Indirect Cost: ¥10,530,000)
Fiscal Year 2022: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
Fiscal Year 2021: ¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
Fiscal Year 2020: ¥11,050,000 (Direct Cost: ¥8,500,000、Indirect Cost: ¥2,550,000)
Fiscal Year 2019: ¥16,510,000 (Direct Cost: ¥12,700,000、Indirect Cost: ¥3,810,000)
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| Keywords | DNAコンピューティング / microRNA / ナノポア / リキッドバイオプシー / ナノポア計測 / マイクロ流体技術 / リポソーム / コアセルベート / マイクロRNA / マイクロデバイス / がん診断 / 一分子計測 / マイクロ流体 / エクソソーム |
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| Outline of Research at the Start |
本研究ではDNAコンピューティング技術とナノポア計測によるラベルフリーDNA分子検出法を組み合わせることにより、早期がん診断マーカーとして期待されるmicroRNA（miRNA）群のがんパターン診断法の構築をめざす。
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| Outline of Final Research Achievements |
In this project, we aimed to construct a cancer pattern diagnostic method for microRNAs (miRNAs), which are expected to be used as early-stage cancer diagnostic markers, by combining DNA computing technology and a label-free DNA molecule detection method using nanopore measurement. In this study, we found that the five miRNA pattern recognition method, which is up-regulated in cholangiocarcinoma, can be applied to blood samples from actual cancer patients, and we were able to detect miRNAs in the ultra-low concentration range (~fM), which had been impossible to measure using nanopore measurement. We also developed an extraction technique using liquid-liquid phase separation. These results have been published in peer-reviewed journals including JACS Au, and at several domestic and international conferences.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では、DNAコンピューティングの並列情報処理を利用し、ナノポア計測と組合すことで、腫瘍由来miRNAのパターン診断法を開発した。実際に患者からの実検体からの識別にも成功し、現在病院、動物病院と共同研究で、ヒトの胃癌、口腔扁平上皮癌、イヌの各種簡易・安価なリキッドバイオプシー法として実用化を進めている。
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