2022 Fiscal Year Final Research Report
High sensitive metabolite detection using DNA barcoding strategy
| Project/Area Number |
21K14754
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 37030:Chemical biology-related
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| Research Institution | Aoyama Gakuin University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2023-03-31
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| Keywords | 代謝物 / DNAバーコード |
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| Outline of Final Research Achievements |
In the field of medicine, metabolome analysis has been actively conducted in recent years, combining separation methods such as capillary electrophoresis (CE), liquid chromatography (LC), and gas chromatography (GC) with mass spectrometry techniques. Metabolome analysis has been conducted in the cohort study to discover the disease biomarker. In this study, we attempted to convert the metabolite information into DNA sequences using chemical reactions. The proposed methodology can realize integrated analysis with the transcriptome and genome.
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| Free Research Field |
ケミカルバイオロジー
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では、従来の質量分析計によるメタボローム解析の課題解決に向け、代謝物情報をDNAの配列情報へ置換する方法論の構築を進めた。実際に、レドックスの維持に寄与するグルタチオン、および、がん代謝において重要な役割を果たすグルコース、乳酸へ適用し、代謝物情報をDNAの配列情報へ置き換え可能であることを初めて明らかにした。これにより、mRNAとの同時解析も可能であった。そのため、従来の代謝物解析の課題克服に繋がる重要な成果であると言える。
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