| Project/Area Number |
16580281
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Applied molecular and cellular biology
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
OHTA Daisaku Osaka Prefecture University, Graduate School of Life and Environmental Sciences, Professor, 生命環境科学研究科, 教授 (10305659)
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| Co-Investigator(Kenkyū-buntansha) |
TAKENAKA Shigeo Osaka Prefecture University, Graduate School of Life and Environmental Sciences, Associate Professor, 生命環境科学研究科, 助教授 (10280067)
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| Project Period (FY) |
2004 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2005: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2004: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | Metabolomics / P450 / FT-ICR MS / Fourier Transform Ion Cyclotron Mass Spectrometry / 質量分析 / FT-MS / 多変量解析 |
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| Research Abstract |
We have developed a metabolic profiling scheme based on a direct-infusion Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS). The scheme consists of 1)reproducible data collection under optimized FT-ICR MS analytical conditions, 2)automatic mass-error correction and multivariate analyses for metabolome characterization using a newly developed metabolomics tool (Dmass software), 3)identification of marker metabolites by searching an in-house metabolite database, KNApSAcK, and 4)structural analyses by an MSMS method. The scheme was applied for clarification of metabolic disorders in Arabidopsis seedlings treated with different herbicidal chemical classes. Arabidopsis extracts were directly infused into an electrospray ionization source on an FT-ICR MS system. Acquired metabolomics data consisting of m/z values with ion intensity information were subjected to a principal component analysis, and disordered metabolomes in the herbicide treatments were clearly differentiated from an herbicide-free metabolome. From each herbicide treatment, candidate metabolites representing the metabolic disorders were identified through the KNApSAcK database search. The database search and MSMS analyses manifested dose dependent accumulation patterns of specific metabolites including several flavonoid glycosides. The metabolic profiling scheme with FT-ICR MS and the Dmass program is discussed as a chemical genomics tool.
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