RNAMolecular BiologyPeer-reviewed journal article
Genome-wide analyses of XRN1-sensitive targets in osteosarcoma cells identifies disease-relevant transcripts containing G-rich motifs.
Amy L. PashleriD, Benjamin P. TowleriD, Christopher Iain JonesiD, Hope J. HaimeiD, Tom Burgess, Sarah Faith NewburyiD
Abstract
XRN1 is a highly conserved exoribonuclease which degrades uncapped RNAs in a 5-3 direction. Degradation of RNAs by XRN1 is important in many cellular and developmental processes and is relevant to human disease. Studies in D. melanogaster demonstrate that XRN1 can target specific RNAs, which have important consequences for developmental pathways. Osteosarcoma is a malignancy of the bone and accounts for 2% of all paediatric cancers worldwide. 5 year survival of patients has remained static since the 1970s and therefore furthering our molecular understanding of this disease is crucial. Previous work has shown a downregulation of XRN1 in osteosarcoma cells, however the transcripts regulated by XRN1 which might promote osteosarcoma remain elusive. Here, we confirm reduced levels of XRN1 in osteosarcoma cell lines and patient samples and identify XRN1-sensitive transcripts in human osteosarcoma cells. Using RNA-seq in XRN1-knockdown SAOS-2 cells, we show that 1178 genes are differentially regulated. Using a novel bioinformatic approach, we demonstrate that 134 transcripts show characteristics of direct post-transcriptional regulation by XRN1. Long non-coding RNAs (lncRNAs) are enriched in this group suggesting that XRN1 normally plays an important role in controlling lncRNA expression in these cells. Among potential lncRNAs targeted by XRN1 is HOTAIR, which is known to be upregulated in osteosarcoma and contribute to disease progression. We have also identified G-rich and GU motifs in post-transcriptionally regulated transcripts which appear to sensitise them to XRN1 degradation. Our results therefore provide significant insights into the specificity of XRN1 in human cells which is relevant to disease.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
- Citations
- 7
- FWCI
- 0.50
- Field percentile
- 50th percentile
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