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dc.contributor.authorRahman, Ruman
dc.contributor.otherWoodward, Alison
dc.contributor.otherPandele, Alina
dc.coverage.spatialNottingham, UKen_UK
dc.coverage.temporal2018-2020en_UK
dc.date.accessioned2021-04-20T07:21:33Z
dc.date.available2021-04-20T07:21:33Z
dc.date.issued2021-04-20
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/9139
dc.description.abstractThe integration of untargeted metabolomics and transcriptomics from the same population of cells or tissue enhances the confidence in the identified metabolic pathways and understanding of the enzyme–metabolite relationship. Here, we optimised a simultaneous extraction method of me-tabolites/lipids and RNA from ependymoma cells (BXD-1425). Two existing single extraction and four dual extraction protocols were critically assessed based on their practical reproducibility, the suitability of the metabolite extraction protocol to human cancer cells and their RNA recovery. The effectiveness of the optimised method was verified by testing the sensitivity to a) discriminate both subtle and profound altera-tions in transcription and metabolism in an acute serum starvation period in a human ependymoma cell line;en_UK
dc.language.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshBrain -- Tumorsen_UK
dc.subject.meshBrain Neoplasmsen_UK
dc.subject.meshNeoplasms -- metabolismen_UK
dc.subject.meshMetabolomicsen_UK
dc.titleMetabolomic and Transcriptomic data - in vitro ependymoma +/- serum starvationen_UK
dc.identifier.doihttp://doi.org/10.17639/nott.7113
dc.subject.freeMetabolomics, transcriptomics, ependymomaen_UK
dc.subject.jacsBiological Sciencesen_UK
dc.subject.lcQ Scienceen_UK
dc.date.collection2018-2020en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Medicine and Health Sciences::School of Medicineen_UK
uon.funder.controlledOtheren_UK
uon.datatypeMetabolomics (liquid-chromatography mass spectrometry-based) and transcriptomics (gene expression microarray-based)en_UK
uon.funder.freeStoneygate Trusten_UK
uon.grantCARO/SS/2016/CC1en_UK
uon.collectionmethodInstrumentsen_UK
uon.legalNone (data generated from in vitro cell lines)en_UK
uon.rightscontactRuman Rahmanen_UK
uon.institutes-centresUniversity of Nottingham, UK Campus::Children's Brain Tumour Research Centreen_UK
uon.identifier.risprojectProject was set up 4 years ago using pFACT. ID: 47817en_UK
dc.relation.doihttps://doi.org/10.3390/xxxxx (linked to a manuscript in press, so we are awaiting the full DOI. I can send the full DOI to researchdata@nottingham.ac.uk once I receive it)en_UK


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