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Expression of a second open reading frame present in the genome of tick-borne encephalitis virus strain Neudoerfl is not detectable in infected cells

Overview of attention for article published in Virus Genes, February 2016
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Title
Expression of a second open reading frame present in the genome of tick-borne encephalitis virus strain Neudoerfl is not detectable in infected cells
Published in
Virus Genes, February 2016
DOI 10.1007/s11262-015-1273-y
Pubmed ID
Authors

Jiří Černý, Martin Selinger, Martin Palus, Zuzana Vavrušková, Hana Tykalová, Lesley Bell-Sakyi, Ján Štěrba, Libor Grubhoffer, Daniel Růžek

Abstract

A short upstream open reading frame (uORF) was recently identified in the 5' untranslated region of some tick-borne encephalitis virus (TBEV) strains. However, it is not known if the peptide encoded by TBEV uORF (TuORF) is expressed in infected cells. Here we show that TuORF forms three phylogenetically separated clades which are typical of European, Siberian, and Far-Eastern TBEV subtypes. Analysis of selection pressure acting on the TuORF area showed that it is under positive selection pressure. Theoretically, TuORF may code for a short hydrophobic peptide embedded in a biological membrane. However, expression of TuORF was detectable neither by immunoblotting in tick and mammalian cell lines infected with TBEV nor by immunofluorescence in TBEV-infected mammalian cell lines. These results support the idea that TuORF is not expressed in TBEV-infected cell or expressed in undetectably low concentrations. Therefore we can assume that TuORF has either minor or no biological role in the TBEV life cycle.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Student > Ph. D. Student 4 31%
Student > Bachelor 1 8%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Readers by discipline Count As %
Immunology and Microbiology 4 31%
Biochemistry, Genetics and Molecular Biology 2 15%
Unspecified 2 15%
Agricultural and Biological Sciences 2 15%
Veterinary Science and Veterinary Medicine 1 8%
Other 2 15%

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 01 March 2016.
All research outputs
#9,856,712
of 12,339,349 outputs
Outputs from Virus Genes
#469
of 682 outputs
Outputs of similar age
#201,393
of 286,871 outputs
Outputs of similar age from Virus Genes
#40
of 54 outputs
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