Show simple item record

dc.contributor.authorRøst, Lisa Marie
dc.contributor.authorThorfinnsdottir, Lilja Brekke
dc.contributor.authorKumar, Kanhaiya
dc.contributor.authorFuchino, Katsuya
dc.contributor.authorLangørgen, Ida Eide
dc.contributor.authorBartosova, Zdenka
dc.contributor.authorKristiansen, Kåre Andre
dc.contributor.authorBruheim, Per
dc.date.accessioned2020-11-24T08:21:54Z
dc.date.available2020-11-24T08:21:54Z
dc.date.created2020-06-19T09:23:17Z
dc.date.issued2020
dc.identifier.citationMetabolites. 2020, 10 (74)en_US
dc.identifier.issn2218-1989
dc.identifier.urihttps://hdl.handle.net/11250/2689213
dc.description.abstractAbsolute quantification of intracellular metabolite pools is a prerequisite for modeling and in-depth biological interpretation of metabolomics data. It is the final step of an elaborate metabolomics workflow, with challenges associated with all steps—from sampling to quantifying the physicochemically diverse metabolite pool. Chromatographic separation combined with mass spectrometric (MS) detection is the superior platform for high coverage, selective, and sensitive detection of metabolites. Herein, we apply our quantitative MS-metabolomics workflow to measure and present the central carbon metabolome of a panel of commonly applied biological model systems. The workflow includes three chromatographic methods combined with isotope dilution tandem mass spectrometry to allow for absolute quantification of 68 metabolites of glycolysis, the pentose phosphate pathway, the tricarboxylic acid cycle, and the amino acid and (deoxy) nucleoside pools. The biological model systems; Bacillus subtilis, Saccharomyces cerevisiae, two microalgal species, and four human cell lines were all cultured in commonly applied culture media and sampled in exponential growth phase. Both literature and databases are scarce with comprehensive metabolite datasets, and existing entries range over several orders of magnitude. The workflow and metabolite panel presented herein can be employed to expand the list of reference metabolomes, as encouraged by the metabolomics community, in a continued effort to develop and refine high-quality quantitative metabolomics workflows.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAbsolute Quantification of the Central Carbon Metabolome in Eight Commonly Applied Prokaryotic and Eukaryotic Model Systemsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume10en_US
dc.source.journalMetabolitesen_US
dc.source.issue74en_US
dc.identifier.doi10.3390/metabo10020074
dc.identifier.cristin1816247
dc.relation.projectNorges forskningsråd: 248885en_US
dc.relation.projectNorges forskningsråd: 258657en_US
dc.relation.projectNorges forskningsråd: 269432en_US
dc.relation.projectTrond Mohn stiftelse: TMS2019TMT05en_US
dc.description.localcodeThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly citeden_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal