SE146:/DS4
Sample Set Information
ID | TSE1303 |
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Title | Exploring molecular backgrounds of quality traits in rice by predictive models based on high-coverage metabolomics |
Description | BACKGROUND: Increasing awareness of limitations to natural resources has set high expectations for plant science to deliver efficient crops with increased yields, improved stress tolerance, and tailored composition. Collections of representative varieties are a valuable resource for compiling broad breeding germplasms that can satisfy these diverse needs. |
Authors | Redestig H, Kusano M, Ebana K, Kobayashi M, Oikawa A, Okazaki Y, Matsuda F, Arita M, Fujita N, Saito K |
Reference | BMC Syst Biol. 2011 Oct 28;5:176. |
Comment |
Data Analysis Details Information
ID | DS4 |
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Title | Data processing (IT-MS) |
Description | Peak picking and peak alignment were performed by Profiling Solution (version 1.0.76.0) (Shimadzu, Kyoto, Japan) from original data file (.lcd). The parameters of Profiling Solution were as follows: ion m/z tolerance, 20 mDa; Ion RT tolerance, 0.1 min; Ion intensity threshold, 2e4; detect isomer valley, 20%; allow some ion without isotope peak, ON; time range for processing, 0–20 min. The data matrix exported from Profiling Solution was normalized based on the intensity of [M+H]+ of 1,2-dioctanoyl-sn-glycero-3-phosphocholine. Peak height of individual lipid molecules were calculated based on the m/z values of their molecular-related ions or fragment ions. Annotation process was performed based on theoretical m/z values of each possible glycerolipid species in plants using in-house Perl script. |
Comment_of_details |