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Sample Set Information

Title Integrated LC-MS/MS system for plant metabolomics
Description Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is highly sensitive, selective, and enables extensive detection of metabolites within a sample. The result allows us to characterize comprehensive metabolite accumulation patterns without dependence on authentic standard compounds and isolation of the individual metabolites. A reference database search is essential for the structural assignment process of un-targeted MS and MS/MS data. Moreover, the characterization of unknown metabolites is challenging, since these cannot be assigned a candidate structure by using a reference database. In this case study, integrated LC-MS/MS based plant metabolomics allows us to detect several hundred metabolites in a sample; and integrated omics analyses, e.g., large-scale reverse genetics, linkage mapping, and association mapping, provides a powerful tool for candidate structure selection or rejection. We also examine emerging technology and applications for LC-MS/MS-based un-targeted plant metabolomics. These activities promote the characterization of massive extended detectable metabolites.
Authors Yuji Sawada, Masami Yokota Hirai
Reference Sawada and Hirai (2013) Computational and Structural Biotechnology Journal 23;4:e201301011. doi: 10.5936/csbj.201301011. eCollection 2013

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The raw data files are available at DROP Met web site in PRIMe database of RIKEN.

Sample Information

Title Glycine soja (wild soybean)
Organism - Scientific Name Glycine soja
Organism - ID NCBI taxonomy 3848
Compound - ID
Compound - Source
Preparation The RILs of G. max and G. soja were constructed by Hokkaido University. The RILs were distributed by the National BioResource Project (Legume Base).
Sample Preparation Details ID
Comment RIL, recombinant inbred line

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