title: Flux analysis in plant metabolic networks: increasing throughput and coverage.
abstract: Quantitative information about metabolic networks has been mainly obtained at the level of metabolite contents, transcript abundance, and enzyme activities. However, the active process of metabolism is represented by the flow of matter through the pathways. These metabolic fluxes can be predicted by Flux Balance Analysis or determined experimentally by (13)C-Metabolic Flux Analysis. These relatively complicated and time-consuming methods have recently seen significant improvements at the level of coverage and throughput. Metabolic models have developed from single cell models into whole-organism dynamic models. Advances in lab automation and data handling have significantly increased the throughput of flux measurements. This review summarizes advances to increase coverage and throughput of metabolic flux analysis in plants.
authors.affiliation: Institute of Pharmacy, Martin-Luther-University, Hoher Weg 8, 06120 Halle, Germany. Electronic address: bjoern.junker@pharmazie.uni-halle.de.
authors.forename: Björn H
authors.initials: BH
authors.lastname: Junker
mesh_terms: D001331:Automation; D057166:High-Throughput Screening Assays; D064688:Metabolic Flux Analysis; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D059828:Plant Cells / Q000378:metabolism; D010944:Plants / Q000201:enzymology / Q000235:genetics / Q000378:metabolism*