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BioMed Central, Genome Biology, 3(15), p. R48

DOI: 10.1186/gb-2014-15-3-r48

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Cell cycle, oncogenic and tumor suppressor pathways regulate numerous long and macro non-protein-coding RNAs

Journal article published in 2014 by Department Proteomics Helmholtz Centre for Environmental Research – UFZ Young Investigators Group Bioinformatics and Transcriptomics, Jörg Hackermüller, Kristin Reiche, University of Leipzig Clinic of Neurosurgery, Medical School University of Leipzig Molecular Oncology, Christian Otto, Fakultat fur Chemie University of Vienna Institut fur Theoretische Chemie, Nadine Hösler, Conny Blumert, University of Leipzig Institute of Clinical Immunology, Katja Brocke-Heidrich, Department of Computer Science University of Leipzig Bioinformatics Group, Levin Böhlig, Anne Nitsche, Katharina Kasack and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract Background The genome is pervasively transcribed but most transcripts do not code for proteins, constituting non-protein-coding RNAs. Despite increasing numbers of functional reports of individual long non-coding RNAs (lncRNAs), assessing the extent of functionality among the non-coding transcriptional output of mammalian cells remains intricate. In the protein-coding world, transcripts differentially expressed in the context of processes essential for the survival of multicellular organisms have been instrumental in the discovery of functionally relevant proteins and their deregulation is frequently associated with diseases. We therefore systematically identified lncRNAs expressed differentially in response to oncologically relevant processes and cell-cycle, p53 and STAT3 pathways, using tiling arrays. Results We found that up to 80% of the pathway-triggered transcriptional responses are non-coding. Among these we identified very large macroRNAs with pathway-specific expression patterns and demonstrated that these are likely continuous transcripts. MacroRNAs contain elements conserved in mammals and sauropsids, which in part exhibit conserved RNA secondary structure. Comparing evolutionary rates of a macroRNA to adjacent protein-coding genes suggests a local action of the transcript. Finally, in different grades of astrocytoma, a tumor disease unrelated to the initially used cell lines, macroRNAs are differentially expressed. Conclusions It has been shown previously that the majority of expressed non-ribosomal transcripts are non-coding. We now conclude that differential expression triggered by signaling pathways gives rise to a similar abundance of non-coding content. It is thus unlikely that the prevalence of non-coding transcripts in the cell is a trivial consequence of leaky or random transcription events.