Evidence map›Paper›PMID 26011078›Full record

ArticleScientific reports2015

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

Yue Teng, Yuzhuo Wang, Xianglilan Zhang, Wenli Liu, Hang Fan, Hongwu Yao, Baihan Lin, Ping Zhu, Wenjun Yuan, Yigang Tong and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. A Review of the Interaction between miRNAs and Ebola Virus.International journal of molecular and cellular medicine · 2024
    Review
  8. Article
  9. Review
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  11. Ebola Virus Encodes Two microRNAs in Huh7-Infected Cells.International journal of molecular sciences · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yue TengThe State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Yuzhuo Wang1] The State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China [2] Department of Physiology and Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, Ningxia Medical University, Yinchuan 750004, PR China.
Xianglilan ZhangThe State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Wenli LiuThe State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Hang FanThe State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Hongwu YaoThe State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Baihan LinComputational Neuroscience Program, Department of Psychology, Physics, and Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA.
Ping Zhu1] The State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China [2] Department of Physiology and Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, Ningxia Medical University, Yinchuan 750004, PR China.
Wenjun YuanDepartment of Physiology and Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, Ningxia Medical University, Yinchuan 750004, PR China.
Yigang TongThe State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Wuchun CaoThe State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.

Funding

Mechanisms of Behavior Change Resource Core for Alcohol-HIV InterventionsU24AA022003 · NIAAA · BROWN UNIVERSITY · PI KAHLER, CHRISTOPHER W. · 2012 to 2020
$5.9M
Mechanisms and consequences of CNS aneuploidies altered by fetal ethanol exposureR01AA021402 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI CHUN, JEROLD · 2013 to 2017
$1.9M
NIAAA NIH HHS R01 AA021402NIAAA NIH HHS U24 AA022003
6 · The paper itself

Abstract

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.

Indexed as

Genome, ViralBase SequenceComputational BiologyDisease OutbreaksEbolavirusGene Regulatory NetworksHeLa CellsHemorrhagic Fever, EbolaHistone DeacetylasesHumansMicroRNAsNF-kappa BNucleic Acid ConformationPolycomb Repressive Complex 2Real-Time Polymerase Chain ReactionReceptor-Interacting Protein Serine-Threonine KinasesHDAC5 protein, humanHistone DeacetylasesJARID2 protein, humanMicroRNAsNF-kappa BPolycomb Repressive Complex 2Receptor-Interacting Protein Serine-Threonine KinasesRIPK1 protein, human

Identifiers

PMID26011078
PMCPMC4603304

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.