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Comparison of infectious influenza A virus quantification methods employing immuno-staining

tetano

Editor, Senior Moderator
J Virol Methods. 2017 Jun 10. pii: S0166-0934(17)30130-1. doi: 10.1016/j.jviromet.2017.06.004. [Epub ahead of print]
[h=1]Comparison of infectious influenza A virus quantification methods employing immuno-staining.[/h] Holl? J[SUP]1[/SUP], Fogelov? M[SUP]1[/SUP], Jakubcov? L[SUP]1[/SUP], Tomč?kov? K[SUP]1[/SUP], Voz?rov? M[SUP]1[/SUP], Varečkov? E[SUP]2[/SUP], Kostolansk? F[SUP]1[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] Infections caused by highly variable influenza A viruses (IAVs) pose perpetual threat to humans as well as to animals. Their surveillance requires reliable methods for their qualitative and quantitative analysis. The most frequently utilized quantification method is the titration by plaque assay or 50% tissue culture infectious dose estimation by TCID[SUB]50[/SUB]. However, both methods are time-consuming. Moreover, some IAV strains form hardly visible plaques, and the evaluation of TCID[SUB]50[/SUB] is subjective. Employment of immuno-staining into the classic protocols for plaque assay or TCID[SUB]50[/SUB] assay enables to avoid these problems and moreover, shorten the time needed for reliable infectious virus quantification. Results obtained by these two alternatives of classic virus titration methods were compared to the newer rapid culture assay (RCA), where titration endpoint of infectious virus was estimated microscopically based on the immuno-staining of infected cells. In our analysis of compared methods, five different IAV strains of H1, H3 and H5 subtypes were used and results were statistically evaluated. We conclude that the RCA proved to be at least as reliable in assessment of infectious viral titer as plaque assay and TCID[SUB]50[/SUB], considering the employed immuno-staining.
Copyright ? 2017. Published by Elsevier B.V.


[h=4]KEYWORDS:[/h] Influenza A virus; Plaque assay; Rapid culture assay; TCID(50); Virus titer

PMID: 28610903 DOI: 10.1016/j.jviromet.2017.06.004
 
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