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dc.contributor.authorGogiashvili, Mikheil-
dc.contributor.authorNowacki, Jessica-
dc.contributor.authorHergenröder, Roland-
dc.contributor.authorHengstler, Jan G.-
dc.contributor.authorLambert, Jörg-
dc.contributor.authorEdlund, Karolina-
dc.date.accessioned2019-10-11T05:21:35Z-
dc.date.available2019-10-11T05:21:35Z-
dc.date.issued2019-01-22-
dc.identifier.urihttp://hdl.handle.net/2003/38276-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-20246-
dc.description.abstractHigh resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy is increasingly used for profiling of breast cancer tissue, delivering quantitative information for approximately 40 metabolites. One unique advantage of the method is that it can be used to analyse intact tissue, thereby requiring only minimal sample preparation. Importantly, since the method is non-destructive, it allows further investigations of the same specimen using for instance transcriptomics. Here, we discuss technical aspects critical for a successful analysis—including sample handling, measurement conditions, pulse sequences for one- and two dimensional analysis, and quantification methods—and summarize available studies, with a focus on significant associations of metabolite levels with clinically relevant parameters.en
dc.language.isoende
dc.relation.ispartofseriesMetabolites;9(2)-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectNMRen
dc.subjectHR MASen
dc.subjectBreast canceren
dc.subjectMetabolomicsen
dc.subject.ddc660-
dc.titleHR-MAS NMR based quantitative metabolomics in breast canceren
dc.typeTextde
dc.type.publicationtypearticlede
dc.subject.rswkMAS-NMR-Spektroskopiede
dc.subject.rswkBrustkrebsde
dc.subject.rswkMetabolomde
dcterms.accessRightsopen access-
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primaryidentifierdoi:10.3390/metabo9020019de
eldorado.secondarypublication.primarycitationGogiashvili, M.; Nowacki, J.; Hergenröder, R.; Hengstler, J.G.; Lambert, J.; Edlund, K. HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer. Metabolites 2019, 9, 19.de
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