Detalle de: The folding of the hepatitis C virus internal ribosome entry site depends on the 3′-end of the viral genome
| Title | The folding of the hepatitis C virus internal ribosome entry site depends on the 3′-end of the viral genome |
| Abstract |
Hepatitis C virus (HCV) translation initiation is directed by an internal ribosome entry site (IRES) and regulated by distant regions at the 3'-end of the viral genome. Through a combination of improved RNA chemical probing methods, SHAPE structural analysis and screening of RNA accessibility using antisense oligonucleotide microarrays, here, we show that HCV IRES folding is fine-tuned by the genomic 3'-end. The essential IRES subdomains IIIb and IIId, and domain IV, adopted a different conformation in the presence of the cis-acting replication element and/or the 3'-untranslatable region compared to that taken up in their absence. Importantly, many of the observed changes involved significant decreases in the dimethyl sulfate or N-methyl-isatoic anhydride reactivity profiles at subdomains IIIb and IIId, while domain IV appeared as a more flexible element. These observations were additionally confirmed in a replication-competent RNA molecule. Significantly, protein factors are not required for these conformational differences to be made manifest. Our results suggest that a complex, direct and long-distance RNA-RNA interaction network plays an important role in the regulation of HCV translation and replication, as well as in the switching between different steps of the viral cycle. |
| Apa Reference | Romero-López, C., Barroso-delJesus, A., García-Sacristán, A., Briones, C. & Berzal-Herranz, A. (2012). The folding of the hepatitis C virus internal ribosome entry site depends on the 3′-end of the viral genome. Nucleic Acids Research, 40(22), 11697-11713. 10.1093/nar/gks927 |
| Doi | 10.1093/nar/gks927 |
| Publication Date | 12 Oct 2012 |
| Publication Type | Article |
| Researcher | Carlos Briones Llorente |
| Ontology | Transcriptomics, Genomics, Molecular flexibility, Expression Profiling, Network Biology, Viromics |
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