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Tuning a cellular lipid kinase activity adapts hepatitis C virus to replication in cell culture

Overview of attention for article published in Nature Microbiology, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

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31 X users

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Title
Tuning a cellular lipid kinase activity adapts hepatitis C virus to replication in cell culture
Published in
Nature Microbiology, December 2016
DOI 10.1038/nmicrobiol.2016.247
Pubmed ID
Authors

Christian Harak, Max Meyrath, Inés Romero-Brey, Christian Schenk, Claire Gondeau, Philipp Schult, Katharina Esser-Nobis, Mohsan Saeed, Petra Neddermann, Paul Schnitzler, Daniel Gotthardt, Sofia Perez-del-Pulgar, Christoph Neumann-Haefelin, Robert Thimme, Philip Meuleman, Florian W. R. Vondran, Raffaele De Francesco, Charles M. Rice, Ralf Bartenschlager, Volker Lohmann

Abstract

With a single exception, all isolates of hepatitis C virus (HCV) require adaptive mutations to replicate efficiently in cell culture. Here, we show that a major class of adaptive mutations regulates the activity of a cellular lipid kinase, phosphatidylinositol 4-kinase IIIα (PI4KA). HCV needs to stimulate PI4KA to create a permissive phosphatidylinositol 4-phosphate-enriched membrane microenvironment in the liver and in primary human hepatocytes (PHHs). In contrast, in Huh7 hepatoma cells, the virus must acquire loss-of-function mutations that prevent PI4KA overactivation. This adaptive mechanism is necessitated by increased PI4KA levels in Huh7 cells compared with PHHs, and is conserved across HCV genotypes. PI4KA-specific inhibitors promote replication of unadapted viral isolates and allow efficient replication of patient-derived virus in cell culture. In summary, this study has uncovered a long-sought mechanism of HCV cell-culture adaptation and demonstrates how a virus can adapt to changes in a cellular environment associated with tumorigenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Denmark 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Ph. D. Student 11 24%
Student > Bachelor 4 9%
Student > Doctoral Student 3 7%
Student > Postgraduate 3 7%
Other 8 18%
Unknown 4 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 31%
Agricultural and Biological Sciences 11 24%
Immunology and Microbiology 5 11%
Medicine and Dentistry 4 9%
Chemistry 3 7%
Other 1 2%
Unknown 7 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 31 October 2020.
All research outputs
#1,849,878
of 25,470,300 outputs
Outputs from Nature Microbiology
#1,313
of 2,038 outputs
Outputs of similar age
#36,409
of 423,017 outputs
Outputs of similar age from Nature Microbiology
#40
of 66 outputs
Altmetric has tracked 25,470,300 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 95.5. This one is in the 35th percentile – i.e., 35% 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 423,017 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.