| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 33% |
| Student > Ph. D. Student | 4 | 22% |
| Student > Bachelor | 2 | 11% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 6 | 33% |
| Veterinary Science and Veterinary Medicine | 2 | 11% |
| Agricultural and Biological Sciences | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Arts and Humanities | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 3 | 17% |
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
#18,444,553
of 22,852,911 outputs
Outputs from Virus Genes
#683
of 963 outputs
Outputs of similar age
#216,186
of 297,594 outputs
Outputs of similar age from Virus Genes
#19
of 35 outputs
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