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Complex interaction between dengue virus replication and expression of miRNA-133a

Overview of attention for article published in BMC Infectious Diseases, January 2016
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Title
Complex interaction between dengue virus replication and expression of miRNA-133a
Published in
BMC Infectious Diseases, January 2016
DOI 10.1186/s12879-016-1364-y
Pubmed ID
Authors

Jorge Andrés Castillo, Juan Camilo Castrillón, Mayra Diosa-Toro, Juan Guillermo Betancur, Georges St Laurent, Jolanda M. Smit, Silvio Urcuqui-Inchima

Abstract

Dengue virus (DENV) is the most common vector-borne viral infection worldwide with approximately 390 million cases and 25,000 reported deaths each year. MicroRNAs (miRNAs) are small non-coding RNA molecules responsible for the regulation of gene expression by repressing mRNA translation or inducing mRNA degradation. Although miRNAs possess antiviral activity against many mammalian-infecting viruses, their involvement in DENV replication is poorly understood. Here, we explored the relationship between DENV and cellular microRNAs using bioinformatics tools. We overexpressed miRNA-133a in Vero cells to test its role in DENV replication and analyzed its expression using RT-qPCR. Furthermore, the expression of polypyrimidine tract binding protein (PTB), a protein involved in DENV replication, was analyzed by western blot. In addition, we profiled miRNA-133a expression in Vero cells challenged with DENV-2, using Taqman miRNA. Bioinformatic analysis revealed that the 3' untranslated region (3'UTR) of the DENV genome of all four DENV serotypes is targeted by several cellular miRNAs, including miRNA-133a. We found that overexpression of synthetic miRNA-133a suppressed DENV replication. Additionally, we observed that PTB transcription , a miRNA-133a target, is down-regulated during DENV infection. Based in our results we propose that 3'UTR of DENV down-regulates endogenous expression of miRNA-133a in Vero cells during the first hours of infection. miRNA-133a regulates DENV replication possibly through the modulation of a host factor such as PTB. Further investigations are needed to verify whether miRNA-133a has an anti-DENV effect in vivo.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 17%
Researcher 17 17%
Student > Master 15 15%
Student > Bachelor 14 14%
Student > Doctoral Student 6 6%
Other 13 13%
Unknown 20 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 31%
Agricultural and Biological Sciences 18 17%
Immunology and Microbiology 9 9%
Medicine and Dentistry 7 7%
Nursing and Health Professions 3 3%
Other 11 11%
Unknown 23 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 January 2016.
All research outputs
#13,964,379
of 22,842,950 outputs
Outputs from BMC Infectious Diseases
#3,554
of 7,683 outputs
Outputs of similar age
#201,369
of 396,850 outputs
Outputs of similar age from BMC Infectious Diseases
#55
of 100 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,683 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 396,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.