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hal.structure.identifierUniversity of Manchester [Manchester]
dc.contributor.authorALLWOOD, J. William
hal.structure.identifierWageningen University and Research Centre [WUR]
dc.contributor.authorDE VOS, Ric C. H.
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMOING, Annick
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDEBORDE, Catherine
hal.structure.identifierMax Planck Institute of Molecular Plant Physiology [MPI-MP]
dc.contributor.authorERBAN, Alexander
hal.structure.identifierMax Planck Institute of Molecular Plant Physiology [MPI-MP]
dc.contributor.authorKOPKA, Joachim
hal.structure.identifierUniversity of Manchester [Manchester]
dc.contributor.authorGOODACRE, Royston
hal.structure.identifierWageningen University and Research Centre [WUR]
dc.contributor.authorHALL, Robert D.
dc.date.issued2011
dc.identifier.isbn978-0-12-385118-5
dc.description.abstractEnThe “metabolome” comprises the entire complement of small molecules in a plant or any other organism. It represents the ultimate phenotype of cells, deduced from the perturbation of gene expression and the modulation of protein function, as well as environmental cues. Extensive advances over the past decade, regarding the high-throughput (HTP) nature of “omics” research, have given birth to the expectation that a type of “systems level” overview may soon be possible. Having such a global overview of the molecular organization of a plant in the context of a particular set of genetic or environmental conditions, be it at cell, organ, or whole plant level, would clearly be very powerful. Currently, we are far from achieving this goal; however, within our hands, plant metabolomics is an HTP and informative “omics” approach to both sample generation and data generation, as well as raw data preprocessing, statistical analysis, and biological interpretation. Within this chapter, we aim to describe the great attention given to experimental design to ensure that the correct sample set and control are included and to, thereby, enable reliable statistical analysis of the data. For as comprehensive metabolite coverage as possible, we advocate the use of multiparallel approaches; thus, we describe a step-by-step standardized method for Nuclear magnetic resonance spectroscopy, as well as discussing with reference to standardized methodologies the techniques of gas chromatography-time of flight/mass spectrometry, and liquid chromatography–mass spectrometry.
dc.language.isoen
dc.publisherElsevier Ltd
dc.publisher.location(united kingdom)
dc.source.titleMethods in Systems Biology
dc.subjectBIOLOGIE VEGETALE
dc.subjectRMN
dc.subjectGENERATION DE DONNEES
dc.subject.enGC-MS
dc.subject.enLC-MS
dc.subject.enGENERATION D'ECHANTILLONS
dc.title.enPlant metabolomics and its potential for systems biology research: background concepts, technology, and methodology
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1016/B978-0-12-385118-5.00016-5
dc.subject.halSciences du Vivant [q-bio]
bordeaux.volume500
bordeaux.title.proceedingMethods in Systems Biology
hal.identifierhal-02811463
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02811463v1
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