SE168:/S01
Sample Set Information
| ID | TSE1330 |
|---|---|
| Title | Automation of chemical assignment for identifying molecular formula of S-containing metabolites by combining metabolomics and chemoinformatics with 34S labeling |
| Description | Introduction Sulfur-containing metabolites (S-metabolites) in organisms including plants have unique benefits to humans. So far, few analytical methods have explored such metabolites. |
| Authors | Nakabayashi, R., Tsugawa, H.,Mori, T. and Saito, K. |
| Reference | Metabolomics, November 2016, 12:168, DOI: 10.1007/s11306-016-1115-5 |
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Sample Information
| ID | S01 |
|---|---|
| Title | Arabidopsis thaliana (ecotype Columbia-0) |
| Organism - Scientific Name | Arabidopsis thaliana |
| Organism - ID | NCBI taxonomy:3702 |
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| Preparation | Arabidopsis thaliana (ecotype Columbia-0) was used in this study. Non-labeled and 34S-labeled Arabidopsis plants were prepared by SI Science CO., LTD (Saitama, Japan). The plants were individually grown in pots filled with vermiculite, which were set in a plant growth room at 25 °C under a 16 h light/8 h dark cycle for 8 weeks. A non-labeled and an 34S-labeled liquid fertilizer (Table S1) was added to the plants daily. Different parts of the flower, including the silique, leaf, stem, and root, in 8-week-old Arabidopsis plants were harvested and immediately lyophilized at −55 °C. The lyophilized materials were stored at room temperature with silica gel. |
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