tetano
Editor, Senior Moderator
Trends Microbiol. 2017 May 3. pii: S0966-842X(17)30091-4. doi: 10.1016/j.tim.2017.04.003. [Epub ahead of print]
[h=1]Influenza Evolution: New Insights into an Old Foe.[/h] Moncla LH[SUP]1[/SUP], Florek NW[SUP]1[/SUP], Friedrich TC[SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Influenza viruses steadily evolve to escape detection by antibodies, necessitating vaccine updates. A new study uses a massively parallel approach, deep mutational scanning, to catalogue antibody escape mutations. This approach defines potential pathways of viral evolution, beyond those already observed in natural infections, and may help predict its future directions.
Copyright ? 2017 Elsevier Ltd. All rights reserved.
[h=4]KEYWORDS:[/h] antibody; antigenic drift; evolution; influenza
PMID: 28478941 DOI: 10.1016/j.tim.2017.04.003
[h=1]Influenza Evolution: New Insights into an Old Foe.[/h] Moncla LH[SUP]1[/SUP], Florek NW[SUP]1[/SUP], Friedrich TC[SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Influenza viruses steadily evolve to escape detection by antibodies, necessitating vaccine updates. A new study uses a massively parallel approach, deep mutational scanning, to catalogue antibody escape mutations. This approach defines potential pathways of viral evolution, beyond those already observed in natural infections, and may help predict its future directions.
Copyright ? 2017 Elsevier Ltd. All rights reserved.
[h=4]KEYWORDS:[/h] antibody; antigenic drift; evolution; influenza
PMID: 28478941 DOI: 10.1016/j.tim.2017.04.003