↓ Skip to main content

Viral Population Changes during Murine Norovirus Propagation in RAW 264.7 Cells

Overview of attention for article published in Frontiers in Microbiology, June 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
22 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Viral Population Changes during Murine Norovirus Propagation in RAW 264.7 Cells
Published in
Frontiers in Microbiology, June 2017
DOI 10.3389/fmicb.2017.01091
Pubmed ID
Authors

Takuya Kitamoto, Reiko Takai-Todaka, Akiko Kato, Kumiko Kanamori, Hirotaka Takagi, Kazuhiro Yoshida, Kazuhiko Katayama, Akira Nakanishi

Abstract

Laboratory adaptation of viruses is an essential technique for basic virology research, including the generation of attenuated vaccine strains, although the principles of cell adaptation remain largely unknown. Deep sequencing of murine norovirus (MuNoV) S7 during serial passages in RAW264.7 cells showed that the frequencies of viral variants were altered more dynamically than previously reported. Serial passages of the virus following two different multiplicity of infections gave rise to distinct haplotypes, implying that multiple cell-adaptable sequences were present in the founder population. Nucleotide variants lost during passage were assembled into a viral genome representative of that prior to cell adaptation, which was unable to generate viral particles upon infection in cultured cells. In addition, presence of the reconstructed genome interfered with production of infectious particles from viruses that were fully adapted to in vitro culture. Although the key nucleotide changes dictating cell adaptation of MuNoV S7 viral infection are yet to be elucidated, our results revealed the elaborate interplay among selected sequences of viral variants better adapted to propagation in cell culture. Such knowledge will be instrumental in understanding the processes necessary for the laboratory adaptation of viruses, especially to those without relevant cell culture systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 27%
Researcher 3 14%
Other 2 9%
Student > Ph. D. Student 2 9%
Lecturer 1 5%
Other 2 9%
Unknown 6 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 32%
Environmental Science 3 14%
Engineering 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 March 2020.
All research outputs
#14,943,828
of 22,985,065 outputs
Outputs from Frontiers in Microbiology
#13,928
of 25,044 outputs
Outputs of similar age
#188,577
of 317,092 outputs
Outputs of similar age from Frontiers in Microbiology
#335
of 529 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,044 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,092 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.