title: Integrated omics approaches in plant systems biology.
abstract: Understanding cellular metabolic systems is vital not only for determining the function of enzymatic genes, but also for elucidating the coordination among various metabolic pathways. In this context, high-throughput experiments can provide us with essential, albeit only partial information. Integration of metabolite profiling with other multiple 'omics' data (e.g. transcript profiling), is required to reconstruct complex networks that characterize the phenotypes in the cell. Here, we review recent approaches to integrate multiple omics data in higher plants. We especially focus on metabolomics data management, normalization, meta-omics data analysis, and an integrative approach with other omics data. Further prospects for using metabolomics and the key points to be addressed are discussed. This could be a valuable strategy for a systems-level understanding of plant systems.
authors.affiliation: RIKEN Plant Science Center, Yokohama, Kanagawa 230-0045, Japan.
authors.forename: Atsushi
authors.initials: A
authors.lastname: Fukushima
authors.forename: Miyako
authors.initials: M
authors.lastname: Kusano
authors.forename: Henning
authors.initials: H
authors.lastname: Redestig
authors.forename: Masanori
authors.initials: M
authors.lastname: Arita
authors.forename: Kazuki
authors.initials: K
authors.lastname: Saito
mesh_terms: D017343:Genes, Plant / Q000235:genetics; D023281:Genomics; D055432:Metabolomics; D010944:Plants / Q000235:genetics* / Q000378:metabolism*; D013223:Statistics as Topic; D049490:Systems Biology / Q000379:methods*