| Project/Area Number |
16K18303
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Biofunction/Bioprocess
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| Research Institution | Sojo University |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 質量分析 / HDR / LC/MS / クロマトグラフィ / 酵母 / バイオインフォマティクス / メタボロミクス / 液体クロマトグラフィー / ダイナミックレンジ / フットプリント |
|---|
| Outline of Final Research Achievements |
At first, SRM transitions of nitrogen metabolites, including amino acid, amine, nucleic acid base and so on, were optimized to develop HDR-MS method. Then, analytical method of the data was developed based on R-language. Dilution series of a standard compound were analyzed using the method. In the result, linear range of calibration curve was extended two orders. For application of this study, foot-print of culture medium of microbes was analyzed. The supernatant of YPD medium under cultivation of yeast was analyzed over the time. In the result, 16 of 83 compounds were corrected by HDR-MS.
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| Academic Significance and Societal Importance of the Research Achievements |
本方法により，様々な分析をより高精度でおこなうことができるようになる．例えば質量分析による高精度フットプリント（培地組成変化）や，メタボロミクス大規模コホートや疾患予測に応用することができると考えられる。また本方法は別のクロマトグラフィへも応用することが可能である．本研究によりMSの，ダイナミックレンジの制限，特にピークインテンシティの頭打ち（サチュレーション）の問題が解決されることが期待され
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