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Systematic Genome-wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak

Recently, several thousand people have been killed by the Ebolavirus disease (EVD) in West Africa, yet no current antiviral medications and treatments are available. Systematic investigation of ebolavirus whole genomes during the 2014 outbreak may shed light on the underlying mechanisms of EVD devel...

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Autores principales: Teng, Yue, Wang, Yuzhuo, Zhang, Xianglilan, Liu, Wenli, Fan, Hang, Yao, Hongwu, Lin, Baihan, Zhu, Ping, Yuan, Wenjun, Tong, Yigang, Cao, Wuchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4603304/
https://www.ncbi.nlm.nih.gov/pubmed/26011078
http://dx.doi.org/10.1038/srep09912
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author Teng, Yue
Wang, Yuzhuo
Zhang, Xianglilan
Liu, Wenli
Fan, Hang
Yao, Hongwu
Lin, Baihan
Zhu, Ping
Yuan, Wenjun
Tong, Yigang
Cao, Wuchun
author_facet Teng, Yue
Wang, Yuzhuo
Zhang, Xianglilan
Liu, Wenli
Fan, Hang
Yao, Hongwu
Lin, Baihan
Zhu, Ping
Yuan, Wenjun
Tong, Yigang
Cao, Wuchun
author_sort Teng, Yue
collection PubMed
description Recently, several thousand people have been killed by the Ebolavirus disease (EVD) in West Africa, yet no current antiviral medications and treatments are available. Systematic investigation of ebolavirus whole genomes during the 2014 outbreak may shed light on the underlying mechanisms of EVD development. Here, using the genome-wide screening in ebolavirus genome sequences, we predicted four putative viral microRNA precursors (pre-miRNAs) and seven putative mature microRNAs (miRNAs). Combing bioinformatics analysis and prediction of the potential ebolavirus miRNA target genes, we suggest that two ebolavirus coding possible miRNAs may be silence and down-regulate the target genes NFKBIE and RIPK1, which are the central mediator of the pathways related with host cell defense mechanism. Additionally, the ebolavirus exploits the miRNAs to inhibit the NF-kB and TNF factors to evade the host defense mechanisms that limit replication by killing infected cells, or to conversely trigger apoptosis as a mechanism to increase virus spreading. This is the first study to use the genome-wide scanning to predict microRNAs in the 2014 outbreak EVD and then to apply systematic bioinformatics to analyze their target genes. We revealed a potential mechanism of miRNAs in ebolavirus infection and possible therapeutic targets for Ebola viral infection treatment.
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spelling pubmed-46033042015-10-23 Systematic Genome-wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak Teng, Yue Wang, Yuzhuo Zhang, Xianglilan Liu, Wenli Fan, Hang Yao, Hongwu Lin, Baihan Zhu, Ping Yuan, Wenjun Tong, Yigang Cao, Wuchun Sci Rep Article Recently, several thousand people have been killed by the Ebolavirus disease (EVD) in West Africa, yet no current antiviral medications and treatments are available. Systematic investigation of ebolavirus whole genomes during the 2014 outbreak may shed light on the underlying mechanisms of EVD development. Here, using the genome-wide screening in ebolavirus genome sequences, we predicted four putative viral microRNA precursors (pre-miRNAs) and seven putative mature microRNAs (miRNAs). Combing bioinformatics analysis and prediction of the potential ebolavirus miRNA target genes, we suggest that two ebolavirus coding possible miRNAs may be silence and down-regulate the target genes NFKBIE and RIPK1, which are the central mediator of the pathways related with host cell defense mechanism. Additionally, the ebolavirus exploits the miRNAs to inhibit the NF-kB and TNF factors to evade the host defense mechanisms that limit replication by killing infected cells, or to conversely trigger apoptosis as a mechanism to increase virus spreading. This is the first study to use the genome-wide scanning to predict microRNAs in the 2014 outbreak EVD and then to apply systematic bioinformatics to analyze their target genes. We revealed a potential mechanism of miRNAs in ebolavirus infection and possible therapeutic targets for Ebola viral infection treatment. Nature Publishing Group 2015-05-26 /pmc/articles/PMC4603304/ /pubmed/26011078 http://dx.doi.org/10.1038/srep09912 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Teng, Yue
Wang, Yuzhuo
Zhang, Xianglilan
Liu, Wenli
Fan, Hang
Yao, Hongwu
Lin, Baihan
Zhu, Ping
Yuan, Wenjun
Tong, Yigang
Cao, Wuchun
Systematic Genome-wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak
title Systematic Genome-wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak
title_full Systematic Genome-wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak
title_fullStr Systematic Genome-wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak
title_full_unstemmed Systematic Genome-wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak
title_short Systematic Genome-wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak
title_sort systematic genome-wide screening and prediction of micrornas in ebov during the 2014 ebolavirus outbreak
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4603304/
https://www.ncbi.nlm.nih.gov/pubmed/26011078
http://dx.doi.org/10.1038/srep09912
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