Sequential 3D OrbiSIMS and LESA-MS/MS-based metabolomics for prediction of brain tumor relapse from sample-limited primary tissue archives

Meurs, Joris

dc.contributor.author	Meurs, Joris
dc.contributor.other	Scurr, David
dc.contributor.other	Storer, Lisa
dc.contributor.other	Grundy, Richard
dc.contributor.other	Alexander, Morgan R
dc.contributor.other	Rahman, Ruman
dc.contributor.other	Kim, Dong-Hyun
dc.contributor.other	Lourdusamy, Anbarasu
dc.date.accessioned	2021-03-26T08:36:42Z
dc.date.available	2021-03-26T08:36:42Z
dc.date.issued	2021-03-26
dc.identifier.uri	https://rdmc.nottingham.ac.uk/handle/internal/8596
dc.description.abstract	Raw and processed data used for the publication entitled "Predicting tumor relapse from serial in situ surface mass spectrometry metabolite profiles of pediatric brain tumor tissue microarrays"	en_UK
dc.language.iso	en	en_UK
dc.publisher	The University of Nottingham	en_UK
dc.rights	CC-BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.lcsh	Brain -- Cancer	en_UK
dc.subject.lcsh	Central nervous system -- Cancer	en_UK
dc.subject.lcsh	Tissues -- Analysis	en_UK
dc.subject.lcsh	Cancer -- Molecular aspects	en_UK
dc.subject.mesh	Brain Neoplasms	en_UK
dc.subject.mesh	Central Nervous System Neoplasms	en_UK
dc.subject.mesh	Ependymoma	en_UK
dc.subject.mesh	Tissue Array Analysis -- methods	en_UK
dc.subject.mesh	Microarray Analysis -- methods	en_UK
dc.title	Sequential 3D OrbiSIMS and LESA-MS/MS-based metabolomics for prediction of brain tumor relapse from sample-limited primary tissue archives	en_UK
dc.type	dataset
dc.identifier.doi	http://doi.org/10.17639/nott.7062
dc.subject.free	pediatric ependymoma, metabolite profiling, LESA-MS/MS, 3D OrbiSIMS, tumor biology, tissue microarray	en_UK
dc.subject.jacs	Biological Sciences	en_UK
dc.subject.jacs	Subjects Allied to Medicine	en_UK
dc.subject.lc	Q Science	en_UK
dc.subject.lc	W Medicine and related subjects (NLM Classification)	en_UK
uon.division	University of Nottingham, UK Campus::Faculty of Science::School of Pharmacy	en_UK
uon.division	University of Nottingham, UK Campus::Faculty of Medicine and Health Sciences::School of Medicine	en_UK
uon.funder.controlled	Engineering & Physical Sciences Research Council	en_UK
uon.datatype	Raw and processed mass spectrometry data	en_UK
uon.grant	EP/N006615/1	en_UK
uon.collectionmethod	3D OrbiSIMS data was collected using a hybrid TOFSIMS 5 instrument coupled to a Q Exactive HF mass spectrometer. LESA-MS/MS data was collected using a TriVersa Nanomate coupled to a Q Exactive plus mass spectrometer	en_UK