001005173 001__ 1005173
001005173 005__ 20231027114356.0
001005173 0247_ $$2doi$$a10.15252/msb.202211099
001005173 0247_ $$2pmid$$apmid:36705093
001005173 0247_ $$2Handle$$a2128/34167
001005173 0247_ $$2WOS$$aWOS:000945787300001
001005173 037__ $$aFZJ-2023-01361
001005173 041__ $$aEnglish
001005173 082__ $$a570
001005173 1001_ $$00000-0001-9030-2085$$aBorah Slater, Khushboo$$b0
001005173 245__ $$aOne-shot 13 C15 N-metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux.
001005173 260__ $$aHeidelberg$$bEMBO Press$$c2023
001005173 3367_ $$2DRIVER$$aarticle
001005173 3367_ $$2DataCite$$aOutput Types/Journal article
001005173 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1679050364_15356
001005173 3367_ $$2BibTeX$$aARTICLE
001005173 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001005173 3367_ $$00$$2EndNote$$aJournal Article
001005173 520__ $$aMetabolic flux is the final output of cellular regulation and has been extensively studied for carbon but much less is known about nitrogen, which is another important building block for living organisms. For the tuberculosis pathogen, this is particularly important in informing the development of effective drugs targeting the pathogen's metabolism. Here we performed 13 C15 N dual isotopic labeling of Mycobacterium bovis BCG steady state cultures, quantified intracellular carbon and nitrogen fluxes and inferred reaction bidirectionalities. This was achieved by model scope extension and refinement, implemented in a multi-atom transition model, within the statistical framework of Bayesian model averaging (BMA). Using BMA-based 13 C15 N-metabolic flux analysis, we jointly resolve carbon and nitrogen fluxes quantitatively. We provide the first nitrogen flux distributions for amino acid and nucleotide biosynthesis in mycobacteria and establish glutamate as the central node for nitrogen metabolism. We improved resolution of the notoriously elusive anaplerotic node in central carbon metabolism and revealed possible operation modes. Our study provides a powerful and statistically rigorous platform to simultaneously infer carbon and nitrogen metabolism in any biological system.
001005173 536__ $$0G:(DE-HGF)POF4-2171$$a2171 - Biological and environmental resources for sustainable use (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001005173 588__ $$aDataset connected to CrossRef, PubMed, , Journals: juser.fz-juelich.de
001005173 650_7 $$2Other$$aBayesian metabolic flux analysis
001005173 650_7 $$2Other$$aMycobacterium tuberculosis
001005173 650_7 $$2Other$$acarbon metabolism
001005173 650_7 $$2Other$$aisotope labeling
001005173 650_7 $$2Other$$anitrogen metabolism
001005173 7001_ $$0P:(DE-Juel1)167400$$aBeyß, Martin$$b1$$ufzj
001005173 7001_ $$0P:(DE-HGF)0$$aXu, Ye$$b2
001005173 7001_ $$0P:(DE-HGF)0$$aBarber, Jim$$b3
001005173 7001_ $$0P:(DE-HGF)0$$aCosta, Catia$$b4
001005173 7001_ $$0P:(DE-HGF)0$$aNewcombe, Jane$$b5
001005173 7001_ $$0P:(DE-Juel1)166254$$aTheorell, Axel$$b6$$ufzj
001005173 7001_ $$0P:(DE-HGF)0$$aBailey, Melanie J$$b7
001005173 7001_ $$00000-0001-6579-1366$$aBeste, Dany J V$$b8
001005173 7001_ $$00000-0003-2145-0046$$aMcFadden, Johnjoe$$b9
001005173 7001_ $$0P:(DE-Juel1)129051$$aNöh, Katharina$$b10$$eCorresponding author
001005173 773__ $$0PERI:(DE-600)2193510-5$$a10.15252/msb.202211099$$n3$$pe11099$$tMolecular systems biology$$v19$$x1744-4292$$y2023
001005173 8564_ $$uhttps://juser.fz-juelich.de/record/1005173/files/Molecular%20Systems%20Biology%20-%202023%20-%20Borah%20Slater%20-%20One%E2%80%90shot%2013C15N%E2%80%90metabolic%20flux%20analysis%20for%20simultaneous%20quantification.pdf$$yOpenAccess
001005173 909CO $$ooai:juser.fz-juelich.de:1005173$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001005173 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)167400$$aForschungszentrum Jülich$$b1$$kFZJ
001005173 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)166254$$aForschungszentrum Jülich$$b6$$kFZJ
001005173 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129051$$aForschungszentrum Jülich$$b10$$kFZJ
001005173 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2171$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
001005173 9141_ $$y2023
001005173 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2022-11-11
001005173 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2022-11-11
001005173 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-07-19T13:27:40Z
001005173 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-07-19T13:27:40Z
001005173 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2022-11-11
001005173 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2022-11-11
001005173 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001005173 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2022-11-11
001005173 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001005173 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review, Double anonymous peer review$$d2021-07-19T13:27:40Z
001005173 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bMOL SYST BIOL : 2022$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2023-10-25
001005173 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bMOL SYST BIOL : 2022$$d2023-10-25
001005173 9201_ $$0I:(DE-Juel1)IBG-1-20101118$$kIBG-1$$lBiotechnologie$$x0
001005173 980__ $$ajournal
001005173 980__ $$aVDB
001005173 980__ $$aUNRESTRICTED
001005173 980__ $$aI:(DE-Juel1)IBG-1-20101118
001005173 9801_ $$aFullTexts