Shuofeng Yuan1, Naru Zhang1, Kailash Singh2, Huiping Shuai1, Hin Chu1, Jie Zhou1, Billy K C Chow2, Bo-Jian Zheng3. 1. Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China. 2. School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China. 3. Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China bzheng@hkucc.hku.hk.
Abstract
Amino acid residues in the N-terminal of the PA subunit (PAN) of the influenza A virus polymerase play critical roles in endonuclease activity, protein stability, and viral RNA (vRNA) promoter binding. In addition, PAN is highly conserved among different subtypes of influenza virus, which suggests PAN to be a desired target in the development of anti-influenza agents. We selected DNA aptamers targeting the intact PA protein or the PAN domain of an H5N1 virus strain using systematic evolution of ligands by exponential enrichment (SELEX). The binding affinities of selected aptamers were measured, followed by an evaluation of in vitro endonuclease inhibitory activity. Next, the antiviral effects of enriched aptamers against influenza A virus infections were examined. A total of three aptamers targeting PA and six aptamers targeting PAN were selected. Our data demonstrated that all three PA-selected aptamers neither inhibited endonuclease activity nor exhibited antiviral efficacy, whereas four of the six PAN-selected aptamers inhibited both endonuclease activity and H5N1 virus infection. Among the four effective aptamers, one exhibited cross-protection against infections of H1N1, H5N1, H7N7, and H7N9 influenza viruses, with a 50% inhibitory concentration (IC50) of around 10 nM. Notably, this aptamer was identified at the 5th round but disappeared after the 10th round of selection, suggesting that the identification and evaluation of aptamers at early rounds of selection may be highly helpful for screening effective aptamers. Overall, our study provides novel insights for screening and developing effective aptamers for use as anti-influenza drugs.
Amino acid residues in the N-terminal of the PA subunit (pan class="Gene">PAN) of the pan class="Species">influenza A virus polymerase play critical roles in endonuclease activity, protein stability, and viral RNA (vRNA) promoter binding. In addition, PAN is highly conserved among different subtypes of influenza virus, which suggests PAN to be a desired target in the development of anti-influenza agents. We selected DNA aptamers targeting the intact PA protein or the PAN domain of an H5N1 virus strain using systematic evolution of ligands by exponential enrichment (SELEX). The binding affinities of selected aptamers were measured, followed by an evaluation of in vitro endonuclease inhibitory activity. Next, the antiviral effects of enriched aptamers against influenza A virus infections were examined. A total of three aptamers targeting PA and six aptamers targeting PAN were selected. Our data demonstrated that all three PA-selected aptamers neither inhibited endonuclease activity nor exhibited antiviral efficacy, whereas four of the six PAN-selected aptamers inhibited both endonuclease activity and H5N1virus infection. Among the four effective aptamers, one exhibited cross-protection against infections of H1N1, H5N1, H7N7, and H7N9influenza viruses, with a 50% inhibitory concentration (IC50) of around 10 nM. Notably, this aptamer was identified at the 5th round but disappeared after the 10th round of selection, suggesting that the identification and evaluation of aptamers at early rounds of selection may be highly helpful for screening effective aptamers. Overall, our study provides novel insights for screening and developing effective aptamers for use as anti-influenza drugs.
Authors: Eugene W M Ng; David T Shima; Perry Calias; Emmett T Cunningham; David R Guyer; Anthony P Adamis Journal: Nat Rev Drug Discov Date: 2006-02 Impact factor: 84.694
Authors: Alexandre Dias; Denis Bouvier; Thibaut Crépin; Andrew A McCarthy; Darren J Hart; Florence Baudin; Stephen Cusack; Rob W H Ruigrok Journal: Nature Date: 2009-02-04 Impact factor: 49.962
Authors: Meng Hu; Hin Chu; Ke Zhang; Kailash Singh; Cun Li; Shuofeng Yuan; Billy K C Chow; Wenjun Song; Jie Zhou; Bo-Jian Zheng Journal: Sci Rep Date: 2016-11-25 Impact factor: 4.379
Authors: Shuofeng Yuan; Hin Chu; Kailash Singh; Hanjun Zhao; Ke Zhang; Richard Y T Kao; Billy K C Chow; Jie Zhou; Bo-Jian Zheng Journal: Sci Rep Date: 2016-03-09 Impact factor: 4.379