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The anti-genomic (negative) strand of Hepatitis C Virus is not targetable by shRNA
Authors:Leszek Lisowski  Menashe Elazar  Kirk Chu  Jeffrey S. Glenn  Mark A. Kay
Affiliation:1.Department of Pediatrics, School of Medicine, Stanford University, 269 Pasteur Drive, Stanford, CA 94305, USA, 2.Department of Genetics, School of Medicine, Stanford University, 269 Pasteur Drive, Stanford, CA 94305, USA, 3.Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University, 269 Pasteur Drive, Stanford, CA 94305, USA, and 4.Department of Microbiology and Immunology, Stanford University, 269 Pasteur Drive, Stanford, CA 94305, USA
Abstract:Hepatitis C Virus (HCV) and other plus-strand RNA viruses typically require the generation of a small number of negative genomes (20–100× lower than the positive genomes) for replication, making the less-abundant antigenome an attractive target for RNA interference(RNAi)-based therapy. Because of the complementarity of duplex short hairpin RNA/small interfering RNA (shRNA/siRNAs) with both genomic and anti-genomic viral RNA strands, and the potential of both shRNA strands to become part of the targeting complexes, preclinical RNAi studies cannot distinguish which viral strand is actually targeted in infected cells. Here, we addressed the question whether the negative HCV genome was bioaccessible to RNAi. We first screened for the most active shRNA molecules against the most conserved regions in the HCV genome, which were then used to generate asymmetric anti-HCV shRNAs that produce biologically active RNAi specifically directed against the genomic or antigenomic HCV sequences. Using this simple but powerful and effective method to screen for shRNA strand selectivity, we demonstrate that the antigenomic strand of HCV is not a viable RNAi target during HCV replication. These findings provide new insights into HCV biology and have important implications for the design of more effective and safer antiviral RNAi strategies seeking to target HCV and other viruses with similar replicative strategies.
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