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dc.contributor.authorChung, Y-L
dc.date.accessioned2016-08-17T12:36:25Z
dc.date.issued2017-01-01
dc.identifier.citationMethods in molecular biology (Clifton, N.J.), 2017, 1636 pp. 393 - 404
dc.identifier.issn1064-3745
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/58
dc.identifier.eissn1940-6029
dc.identifier.doi10.1007/978-1-4939-7154-1_25
dc.description.abstractMagnetic resonance spectroscopy (MRS) is an analytical technique that has been extensively used to examine reprogrammed metabolism and treatment response in cancer cells and solid tumors both in vivo and ex vivo. High-resolution MRS (HR-MRS) is one of the best methods for metabolic profiling, as it is highly quantitative, robust, and reproducible. The protocols for dual-phase extraction of cancer cells and tumors and sample preparations for high-resolution 1H and 31P HR-MRS analysis are described here. Descriptions of spectra acquisition and analysis are also included in this chapter.
dc.formatPrint
dc.format.extent393 - 404
dc.languageeng
dc.language.isoeng
dc.publisherHUMANA PRESS INC
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectProtein Kinases
dc.subjectOncogene Proteins
dc.subjectProtein Kinase Inhibitors
dc.subjectChemical Fractionation
dc.subjectMagnetic Resonance Spectroscopy
dc.subjectEnergy Metabolism
dc.subjectSolubility
dc.subjectLipid Metabolism
dc.subjectMetabolomics
dc.titleMagnetic Resonance Spectroscopy (MRS)-Based Methods for Examining Cancer Metabolism in Response to Oncogenic Kinase Drug Treatment.
dc.typeJournal Article
dcterms.dateAccepted2016-04-21
rioxxterms.versionofrecord10.1007/978-1-4939-7154-1_25
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2017-01
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfMethods in molecular biology (Clifton, N.J.)
pubs.notesNo embargo
pubs.organisational-group/ICR
pubs.organisational-group/ICR
pubs.publication-statusPublished
pubs.volume1636
pubs.embargo.termsNo embargo
dc.contributor.icrauthorChung, Yuen-Li


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