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Follow up of a robust meta-signature to identify Zika virus infection in Aedes aegypti: another brick in the wall

Overview of attention for article published in Memórias do Instituto Oswaldo Cruz, May 2018
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Title
Follow up of a robust meta-signature to identify Zika virus infection in Aedes aegypti: another brick in the wall
Published in
Memórias do Instituto Oswaldo Cruz, May 2018
DOI 10.1590/0074-02760180053
Pubmed ID
Authors

Eduardo Fukutani, Moreno Rodrigues, José Irahe Kasprzykowski, Cintia Figueiredo de Araujo, Alexandre Rossi Paschoal, Pablo Ivan Pereira Ramos, Kiyoshi Ferreira Fukutani, Artur Trancoso Lopo de Queiroz

Abstract

The mosquito Aedes aegypti is the main vector of several arthropod-borne diseases that have global impacts. In a previous meta-analysis, our group identified a vector gene set containing 110 genes strongly associated with infections of dengue, West Nile and yellow fever viruses. Of these 110 genes, four genes allowed a highly accurate classification of infected status. More recently, a new study of Ae. aegypti infected with Zika virus (ZIKV) was published, providing new data to investigate whether this "infection" gene set is also altered during a ZIKV infection. Our hypothesis is that the infection-associated signature may also serve as a proxy to classify the ZIKV infection in the vector. Raw data associated with the NCBI/BioProject were downloaded and re-analysed. A total of 18 paired-end replicates corresponding to three ZIKV-infected samples and three controls were included in this study. The nMDS technique with a logistic regression was used to obtain the probabilities of belonging to a given class. Thus, to compare both gene sets, we used the area under the curve and performed a comparison using the bootstrap method. Our meta-signature was able to separate the infected mosquitoes from the controls with good predictive power to classify the Zika-infected mosquitoes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 27%
Student > Master 5 17%
Student > Doctoral Student 3 10%
Professor 3 10%
Student > Bachelor 2 7%
Other 4 13%
Unknown 5 17%
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Agricultural and Biological Sciences 4 13%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 2 7%
Immunology and Microbiology 2 7%
Other 5 17%
Unknown 9 30%
Attention Score in Context

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 31 May 2018.
All research outputs
#22,754,640
of 25,380,089 outputs
Outputs from Memórias do Instituto Oswaldo Cruz
#1,298
of 1,496 outputs
Outputs of similar age
#293,780
of 333,951 outputs
Outputs of similar age from Memórias do Instituto Oswaldo Cruz
#14
of 20 outputs
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