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Characterization of Hepatitis C Virus IRES Quasispecies – From the Individual to the Pool

Overview of attention for article published in Frontiers in Microbiology, April 2018
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Title
Characterization of Hepatitis C Virus IRES Quasispecies – From the Individual to the Pool
Published in
Frontiers in Microbiology, April 2018
DOI 10.3389/fmicb.2018.00731
Pubmed ID
Authors

Václav Vopálenský, Anas Khawaja, Luděk Rožnovský, Jakub Mrázek, Tomáš Mašek, Martin Pospíšek

Abstract

Hepatitis C virus (HCV) is a single-stranded positive-sense RNA virus from the genus Hepacivirus. The viral genomic +RNA is 9.6 kb long and contains highly structured 5' and 3' untranslated regions (UTRs) and codes for a single large polyprotein, which is co- and post-translationally processed by viral and cellular proteases into at least 11 different polypeptides. Most of the 5' UTR and an initial part of the polyprotein gene are occupied by an internal ribosome entry site (IRES), which mediates cap-independent translation of the viral proteins and allows the virus to overcome cellular antiviral defense based on the overall reduction of the cap-dependent translation initiation. We reconsidered published results concerning a search for possible correlation between patient response to interferon-based antiviral therapy and accumulation of nucleotide changes within the HCV IRES. However, we were unable to identify any such correlation. Rather than searching for individual mutations, we suggest to focus on determination of individual and collective activities of the HCV IRESs found in patient specimens. We developed a combined, fast, and undemanding approach based on high-throughput cloning of the HCV IRES species to a bicistronic plasmid followed by determination of the HCV IRES activity by flow cytometry. This approach can be adjusted for measurement of the individual HCV IRES activity and for estimation of the aggregate ability of the whole HCV population present in the specimen to synthesize viral proteins. To detect nucleotide variations in the individual IRESs, we used denaturing gradient gel electrophoresis (DGGE) analysis that greatly improved identification and classification of HCV IRES variants in the sample. We suggest that determination of the collective activity of the majority of HCV IRES variants present in one patient specimen in a given time represents possible functional relations among variant sequences within the complex population of viral quasispecies better than bare information about their nucleotide sequences. A similar approach might be used for monitoring of sequence variations in quasispecies populations of other RNA viruses in all cases when changes in primary sequence represent changes in measurable and easily quantifiable phenotypes.

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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 2 14%
Researcher 2 14%
Professor 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Agricultural and Biological Sciences 1 7%
Immunology and Microbiology 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 6 43%
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 27 July 2018.
All research outputs
#18,606,163
of 23,047,237 outputs
Outputs from Frontiers in Microbiology
#19,606
of 25,187 outputs
Outputs of similar age
#253,296
of 326,479 outputs
Outputs of similar age from Frontiers in Microbiology
#474
of 612 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,187 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 9th percentile – i.e., 9% 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 326,479 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 612 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.