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Article: Comparative epigenetic analysis of tumour initiating cells and syngeneic EPSC-derived neural stem cells in glioblastoma

TitleComparative epigenetic analysis of tumour initiating cells and syngeneic EPSC-derived neural stem cells in glioblastoma
Authors
Issue Date1-Dec-2021
PublisherNature Portfolio
Citation
Nature Communications, 2021, v. 12, n. 1 How to Cite?
AbstractEpigenetic mechanisms which play an essential role in normal developmental processes, such as self-renewal and fate specification of neural stem cells (NSC) are also responsible for some of the changes in the glioblastoma (GBM) genome. Here we develop a strategy to compare the epigenetic and transcriptional make-up of primary GBM cells (GIC) with patient-matched expanded potential stem cell (EPSC)-derived NSC (iNSC). Using a comparative analysis of the transcriptome of syngeneic GIC/iNSC pairs, we identify a glycosaminoglycan (GAG)-mediated mechanism of recruitment of regulatory T cells (Tregs) in GBM. Integrated analysis of the transcriptome and DNA methylome of GBM cells identifies druggable target genes and patient-specific prediction of drug response in primary GIC cultures, which is validated in 3D and in vivo models. Taken together, we provide a proof of principle that this experimental pipeline has the potential to identify patient-specific disease mechanisms and druggable targets in GBM.
Persistent Identifierhttp://hdl.handle.net/10722/357446
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorVinel, Claire-
dc.contributor.authorRosser, Gabriel-
dc.contributor.authorGuglielmi, Loredana-
dc.contributor.authorConstantinou, Myrianni-
dc.contributor.authorPomella, Nicola-
dc.contributor.authorZhang, Xinyu-
dc.contributor.authorBoot, James R-
dc.contributor.authorJones, Tania A-
dc.contributor.authorMillner, Thomas O-
dc.contributor.authorDumas, Anaelle A-
dc.contributor.authorRakyan, Vardhman-
dc.contributor.authorRees, Jeremy-
dc.contributor.authorThompson, Jamie L-
dc.contributor.authorVuononvirta, Juho-
dc.contributor.authorNadkarni, Suchita-
dc.contributor.authorEl Assan, Tedani-
dc.contributor.authorAley, Natasha-
dc.contributor.authorLin, Yung Yao-
dc.contributor.authorLiu, Pentao-
dc.contributor.authorNelander, Sven-
dc.contributor.authorSheer, Denise-
dc.contributor.authorMerry, Catherine LR-
dc.contributor.authorMarelli-Berg, Federica-
dc.contributor.authorBrandner, Sebastian-
dc.contributor.authorMarino, Silvia-
dc.date.accessioned2025-07-22T03:12:48Z-
dc.date.available2025-07-22T03:12:48Z-
dc.date.issued2021-12-01-
dc.identifier.citationNature Communications, 2021, v. 12, n. 1-
dc.identifier.urihttp://hdl.handle.net/10722/357446-
dc.description.abstractEpigenetic mechanisms which play an essential role in normal developmental processes, such as self-renewal and fate specification of neural stem cells (NSC) are also responsible for some of the changes in the glioblastoma (GBM) genome. Here we develop a strategy to compare the epigenetic and transcriptional make-up of primary GBM cells (GIC) with patient-matched expanded potential stem cell (EPSC)-derived NSC (iNSC). Using a comparative analysis of the transcriptome of syngeneic GIC/iNSC pairs, we identify a glycosaminoglycan (GAG)-mediated mechanism of recruitment of regulatory T cells (Tregs) in GBM. Integrated analysis of the transcriptome and DNA methylome of GBM cells identifies druggable target genes and patient-specific prediction of drug response in primary GIC cultures, which is validated in 3D and in vivo models. Taken together, we provide a proof of principle that this experimental pipeline has the potential to identify patient-specific disease mechanisms and druggable targets in GBM.-
dc.languageeng-
dc.publisherNature Portfolio-
dc.relation.ispartofNature Communications-
dc.titleComparative epigenetic analysis of tumour initiating cells and syngeneic EPSC-derived neural stem cells in glioblastoma-
dc.typeArticle-
dc.identifier.doi10.1038/s41467-021-26297-6-
dc.identifier.pmid34675201-
dc.identifier.scopuseid_2-s2.0-85117689404-
dc.identifier.volume12-
dc.identifier.issue1-
dc.identifier.eissn2041-1723-
dc.identifier.isiWOS:000710514300005-
dc.identifier.issnl2041-1723-

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