Metabolic Profiling Analysis Using FT-ICR MS
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- Oikawa Akira
- Graduate School of Life and Environmental Sciences, Osaka Prefecture Univ. Research Association for Biotechnology
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- Kimura Atsuko
- Graduate School of Life and Environmental Sciences, Osaka Prefecture Univ.
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- Nakamura Yukiko
- Department of Bioinformatics and Genomics, NAIST
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- Sakurai Nozomu
- Kazusa DNA Res. Inst.
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- Suzuki Hideyuki
- Kazusa DNA Res. Inst.
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- Saito Kazuki
- Graduate School of Pharmaceutical Sciences, Chiba Univ.
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- Shibata Daisuke
- Kazusa DNA Res. Inst.
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- Kanaya Shigehiko
- Department of Bioinformatics and Genomics, NAIST
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- Ohta Daisaku
- Graduate School of Life and Environmental Sciences, Osaka Prefecture Univ.
Bibliographic Information
- Other Title
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- FT-ICR MS分析によるメタボリックプロファイリング解析~問題点と応用~
Abstract
We have developed a metabolic profiling experimental scheme based on a direct-infusion method on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS). The metabolic profiling scheme was designed for metabolome classification and marker metabolite identification, correcting considerable analytical errors intrinsically associated with the high-resolution analyses with FT-ICR MS under unpredictable ion suppression effects in the analytical cell. The scheme consists of 1) optimization of the analysis conditions for reproducible data correction among each MS scan, 2) development of a data analysis tool (Dmass) for automatic mass-error correction, 3) multivariate analyses for metabolome clarification among different samples, 4) identification of marker metabolite candidates through a database (KNApSAcK) search using accurate mass values, and 5) structural analyses for the candidate compounds by MSMS technique. We discuss the application of our experimental scheme for an integrated data analysis of metabolomics and transcriptomics for Arabidopsis suspension cells under different culture conditions.
Journal
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- Plant and Cell Physiology Supplement
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Plant and Cell Physiology Supplement 2006 (0), 001-001, 2006
The Japanese Society of Plant Physiologists
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Details 詳細情報について
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- CRID
- 1390001205628465536
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- NII Article ID
- 130006988802
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed