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dc.contributor.authorFritah, Sabrina
dc.contributor.authorMuller, Arnaud
dc.contributor.authorJiang, Wei
dc.contributor.authorMitra, Ramkrishna
dc.contributor.authorSarmini, Mohamad
dc.contributor.authorDieterle, Monika
dc.contributor.authorGolebiewska, Anna
dc.contributor.authorYe, Tao
dc.contributor.authorvan Dyck, Eric
dc.contributor.authorHerold-Mende, Christel
dc.contributor.authorZhao, Zhongming
dc.contributor.authorAzuaje, Francisco
dc.contributor.authorNiclou, Simone Pierrette
dc.date.accessioned2021-04-27T07:18:52Z
dc.date.available2021-04-27T07:18:52Z
dc.date.created2020-09-29T10:22:52Z
dc.date.issued2020-09-10
dc.PublishedCancers. 2020, 12:2853 (9), 1-18.
dc.identifier.issn2072-6694
dc.identifier.urihttps://hdl.handle.net/11250/2739756
dc.description.abstractResistance to chemotherapy by temozolomide (TMZ) is a major cause of glioblastoma (GBM) recurrence. So far, attempts to characterize factors that contribute to TMZ sensitivity have largely focused on protein-coding genes, and failed to provide effective therapeutic targets. Long noncoding RNAs (lncRNAs) are essential regulators of epigenetic-driven cell diversification, yet, their contribution to the transcriptional response to drugs is less understood. Here, we performed RNA-seq and small RNA-seq to provide a comprehensive map of transcriptome regulation upon TMZ in patient-derived GBM stem-like cells displaying different drug sensitivity. In a search for regulatory mechanisms, we integrated thousands of molecular associations stored in public databases to generate a background “RNA interactome”. Our systems-level analysis uncovered a coordinated program of TMZ response reflected by regulatory circuits that involve transcription factors, mRNAs, miRNAs, and lncRNAs. We discovered 22 lncRNAs involved in regulatory loops and/or with functional relevance in drug response and prognostic value in gliomas. Thus, the investigation of TMZ-induced gene networks highlights novel RNA-based predictors of chemosensitivity in GBM. The computational modeling used to identify regulatory circuits underlying drug response and prioritizing gene candidates for functional validation is applicable to other datasets.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTemozolomide-induced rna interactome uncovers novel lncrna regulatory loops in glioblastomaen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2020 by the authorsen_US
dc.source.articlenumber2583en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.3390/cancers12092583
dc.identifier.cristin1834675
dc.source.journalCancersen_US
dc.source.4012:2853
dc.source.149
dc.source.pagenumber1-18en_US
dc.identifier.citationCancers. 2020, 12(9), 2583en_US
dc.source.volume12en_US
dc.source.issue9en_US


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