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Detection of influenza antigenic variants directly from clinical samples using polyclonal antibody based proximity ligation assays.


ABSTRACT: Identification of antigenic variants is the key to a successful influenza vaccination program. The empirical serological methods to determine influenza antigenic properties require viral propagation. Here a novel quantitative PCR-based antigenic characterization method using polyclonal antibody and proximity ligation assays, or so-called polyPLA, was developed and validated. This method can detect a viral titer that is less than 1000 TCID50/mL. Not only can this method differentiate between different HA subtypes of influenza viruses but also effectively identify antigenic drift events within the same HA subtype of influenza viruses. Applications in H3N2 seasonal influenza data showed that the results from this novel method are consistent with those from the conventional serological assays. This method is not limited to the detection of antigenic variants in influenza but also other pathogens. It has the potential to be applied through a large-scale platform in disease surveillance requiring minimal biosafety and directly using clinical samples.

SUBMITTER: Martin BE 

PROVIDER: S-EPMC4902327 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

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Detection of influenza antigenic variants directly from clinical samples using polyclonal antibody based proximity ligation assays.

Martin Brigitte E BE   Jia Kun K   Sun Hailiang H   Ye Jianqiang J   Hall Crystal C   Ware Daphne D   Wan Xiu-Feng XF  

Virology 20141226


Identification of antigenic variants is the key to a successful influenza vaccination program. The empirical serological methods to determine influenza antigenic properties require viral propagation. Here a novel quantitative PCR-based antigenic characterization method using polyclonal antibody and proximity ligation assays, or so-called polyPLA, was developed and validated. This method can detect a viral titer that is less than 1000 TCID50/mL. Not only can this method differentiate between diff  ...[more]

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