Improvement of the quantitative differential metabolome pipeline for gas chromatography-mass spectrometry data by automated reliable peak selection

被引：4
作者：
Ara, Takeshi [1 ]
Sakurai, Nozomu [1 ]
Tange, Yoshie [1 ]
Morishita, Yoshihiko [1 ]
Suzuki, Hideyuki [1 ]
Aoki, Koh [1 ]
Saito, Kazuki [1 ,2 ]
Shibata, Daisuke [1 ]
机构：
[1] Kazusa DNA Res Inst, Chiba 2920818, Japan
[2] Chiba Univ, Grad Sch Pharmaceut Sci, Chiba 2638522, Japan
来源：
PLANT BIOTECHNOLOGY | 2009年 / 26卷 / 05期
关键词：
Differential analysis; GC-TOF-MS; mass spectrometry; metabolomics; quantification; MS; ALIGNMENT; SAMPLES; TOOL; IDENTIFICATION; SOFTWARE;
D O I：
10.5511/plantbiotechnology.26.445
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
Recent advances in metabolomics technology have enabled large-scale comprehensive analyses of metabolites, but the throughput of data processing of non-targeted, quantitative differential analyses is very low. It is crucial to solve this problem to generate biological hypotheses from a large-scale dataset. To improve the analysis of metabolite data, we focused on the processing of quantitative differential analysis after multiple peak alignment. We have developed a program named FAQuant that automatically selects reliable peaks from each chromatogram, quantifies the mean of peak intensity to compare between sample groups, and selects the peaks with differences in accumulation of metabolites. This program was incorporated into a quantitative differential metabolome pipeline as a module to improve the throughput of gas chromatography-mass spectrometry dataset analysis. As a result, the module incorporation largely reduced the total processing time. Furthermore, differential analysis of metabolites in soybean (Glycine max) cultivars was demonstrated by use of the system. This system might facilitate biological hypothesis generation from large-scale comparative metabolome analysis.
引用
收藏
页码：445 / 449
页数：5
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