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Genetic variations on 31 and 450 residues of influenza A nucleoprotein affect viral replication and translation

Overview of attention for article published in Journal of Biomedical Science, January 2020
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Title
Genetic variations on 31 and 450 residues of influenza A nucleoprotein affect viral replication and translation
Published in
Journal of Biomedical Science, January 2020
DOI 10.1186/s12929-019-0612-z
Pubmed ID
Authors

Su-Jhen Hung, Yin-Mei Hsu, Sheng-Wen Huang, Huey-Pin Tsai, Leo Yi Yang Lee, Aeron C. Hurt, Ian G. Barr, Shin-Ru Shih, Jen-Ren Wang

Abstract

Influenza A viruses cause epidemics/severe pandemics that pose a great global health threat. Among eight viral RNA segments, the multiple functions of nucleoprotein (NP) play important roles in viral replication and transcription. To understand how NP contributes to the virus evolution, we analyzed the NP gene of H3N2 viruses in Taiwan and 14,220 NP sequences collected from Influenza Research Database. The identified genetic variations were further analyzed by mini-genome assay, virus growth assay, viral RNA and protein expression as well as ferret model to analyze their impacts on viral replication properties. The NP genetic analysis by Taiwan and global sequences showed similar evolution pattern that the NP backbones changed through time accompanied with specific residue substitutions from 1999 to 2018. Other than the conserved residues, fifteen sporadic substitutions were observed in which the 31R, 377G and 450S showed higher frequency. We found 31R and 450S decreased polymerase activity while the dominant residues (31 K and 450G) had higher activity. The 31 K and 450G showed better viral translation and replication in vitro and in vivo. These findings indicated variations identified in evolution have roles in modulating viral replication in vitro and in vivo. This study demonstrates that the interaction between variations of NP during virus evolution deserves future attention.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Other 1 7%
Student > Bachelor 1 7%
Professor 1 7%
Student > Master 1 7%
Other 2 14%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 57%
Nursing and Health Professions 1 7%
Immunology and Microbiology 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 June 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Journal of Biomedical Science
#969
of 1,101 outputs
Outputs of similar age
#402,788
of 473,328 outputs
Outputs of similar age from Journal of Biomedical Science
#29
of 34 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.