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The deregulated microRNAome contributes to the cellular response to aneuploidy

  • Background: Aneuploidy, or abnormal chromosome numbers, severely alters cell physiology and is widespread in cancers and other pathologies. Using model cell lines engineered to carry one or more extra chromosomes, it has been demonstrated that aneuploidy per se impairs proliferation, leads to proteotoxic as well as replication stress and triggers conserved transcriptome and proteome changes. Results: In this study, we analysed for the first time miRNAs and demonstrate that their expression is altered in response to chromosome gain. The miRNA deregulation is independent of the identity of the extra chromosome and specific to individual cell lines. By cross-omics analysis we demonstrate that although the deregulated miRNAs differ among individual aneuploid cell lines, their known targets are predominantly associated with cell development, growth and proliferation, pathways known to be inhibited in response to chromosome gain. Indeed, we show that up to 72% of these targets are downregulated and the associated miRNAs are overexpressed in aneuploid cells, suggesting that the miRNA changes contribute to the global transcription changes triggered by aneuploidy. We identified hsa-miR-10a-5p to be overexpressed in majority of aneuploid cells. Hsa-miR-10a-5p enhances translation of a subset of mRNAs that contain so called 5’TOP motif and we show that its upregulation in aneuploids provides resistance to starvation-induced shut down of ribosomal protein translation. Conclusions: Our work suggests that the changes of the microRNAome contribute on one hand to the adverse effects of aneuploidy on cell physiology, and on the other hand to the adaptation to aneuploidy by supporting translation under adverse conditions. Keywords: Aneuploidy, Cancer, miRNA, miR-10a-5p, Trisomy

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Metadaten
Verfasserangaben:Milena Dürrbaum, Christine Kruse, K. Julia Nieken, Bianca Habermann, Zuzana Storchova
URN (Permalink):urn:nbn:de:hbz:386-kluedo-53493
Dokumentart:Wissenschaftlicher Artikel
Sprache der Veröffentlichung:Englisch
Veröffentlichungsdatum (online):07.08.2018
Jahr der Veröffentlichung:2018
Veröffentlichende Institution:Technische Universität Kaiserslautern
Datum der Publikation (Server):08.08.2018
Seitenzahl:17
Quelle:Genomics (2108) 19:197
Fachbereiche / Organisatorische Einheiten:Fachbereich Biologie
DDC-Sachgruppen:5 Naturwissenschaften und Mathematik / 570 Biowissenschaften, Biologie
Lizenz (Deutsch):Creative Commons 4.0 - Namensnennung (CC BY 4.0)