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Tracing metabolic flux in vivo: basic model structures of tracer methodology

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dc.contributor.authorKim, Il-Young-
dc.contributor.authorPark, Sanghee-
dc.contributor.authorKim, Yeongmin-
dc.contributor.authorKim, Hee Joo-
dc.contributor.authorWolfe, Robert R.-
dc.date.accessioned2022-10-20T00:40:09Z-
dc.date.available2022-10-20T00:40:09Z-
dc.date.created2022-10-01-
dc.date.issued2022-09-
dc.identifier.issn1226-3613-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85795-
dc.description.abstractMolecules in living organisms are in a constant state of turnover at varying rates, i.e., synthesis, breakdown, oxidation, and/or conversion to different compounds. Despite the dynamic nature of biomolecules, metabolic research has focused heavily on static, snapshot information such as the abundances of mRNA, protein, and metabolites and/or (in)activation of molecular signaling, often leading to erroneous conclusions regarding metabolic status. Over the past century, stable, non-radioactive isotope tracers have been widely used to provide critical information on the dynamics of specific biomolecules (metabolites and polymers including lipids, proteins, and DNA), in studies in vitro in cells as well as in vivo in both animals and humans. In this review, we discuss (1) the historical background of the use of stable isotope tracer methodology in metabolic research; (2) the importance of obtaining kinetic information for a better understanding of metabolism; and (3) the basic principles and model structures of stable isotope tracer methodology using 13C-, 15N-, or 2H-labeled tracers.-
dc.language영어-
dc.language.isoen-
dc.publisherSPRINGERNATURE-
dc.relation.isPartOfExperimental and Molecular Medicine-
dc.titleTracing metabolic flux in vivo: basic model structures of tracer methodology-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000852279000004-
dc.identifier.doi10.1038/s12276-022-00814-z-
dc.identifier.bibliographicCitationExperimental and Molecular Medicine, v.54, no.9, pp.1311 - 1322-
dc.identifier.kciidART002881450-
dc.description.isOpenAccessY-
dc.identifier.scopusid2-s2.0-85137839484-
dc.citation.endPage1322-
dc.citation.startPage1311-
dc.citation.titleExperimental and Molecular Medicine-
dc.citation.volume54-
dc.citation.number9-
dc.contributor.affiliatedAuthorKim, Il-Young-
dc.contributor.affiliatedAuthorPark, Sanghee-
dc.contributor.affiliatedAuthorKim, Yeongmin-
dc.contributor.affiliatedAuthorKim, Hee Joo-
dc.type.docTypeReview-
dc.subject.keywordPlusISOTOPOMER DISTRIBUTION ANALYSIS-
dc.subject.keywordPlusFRACTIONAL SYNTHESIS RATES-
dc.subject.keywordPlusMUSCLE PROTEIN-SYNTHESIS-
dc.subject.keywordPlusHUMAN SKELETAL-MUSCLE-
dc.subject.keywordPlusSTABLE-ISOTOPE-
dc.subject.keywordPlusAMINO-ACIDS-
dc.subject.keywordPlusFATTY-ACIDS-
dc.subject.keywordPlusGLUCOSE-
dc.subject.keywordPlusEXERCISE-
dc.subject.keywordPlusREST-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaResearch & Experimental Medicine-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryMedicine, Research & Experimental-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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