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Transcriptome analysis of Aedes aegypti Aag2 cells in response to dengue virus-2 infection

Overview of attention for article published in Parasites & Vectors, August 2020
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Title
Transcriptome analysis of Aedes aegypti Aag2 cells in response to dengue virus-2 infection
Published in
Parasites & Vectors, August 2020
DOI 10.1186/s13071-020-04294-w
Pubmed ID
Authors

Man-jin Li, Ce-jie Lan, He-ting Gao, Dan Xing, Zhen-yu Gu, Duo Su, Tong-yan Zhao, Hui-ying Yang, Chun-xiao Li

Abstract

Dengue virus (DENV) is a flavivirus transmitted by mosquitoes that is prevalent in tropical and subtropical countries and has four serotypes (DENV1-4). Aedes aegypti, as the main transmission vector of DENV, exhibits strong infectivity and transmission. With the aim of obtaining a better understanding of the Ae. aegypti-DENV interaction, the transcriptome changes in DENV-2-infected Aag2 cells were studied to describe the immune responses of mosquitoes using the Ae. aegypti Aag2 cell line as a model. RNAseq technology was used to sequence the transcripts of the Ae. aegypti Aag2 cell line before and after infection with DENV-2. A bioinformatics analysis was then performed to assess the biological functions of the differentially expressed genes, and the sequencing data were verified by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The transcriptome analysis generated 8866 unigenes that were found in both groups, 225 unigenes that were only found in the infection group, and 683 unigenes that only existed in the control group. A total of 1199 differentially expressed genes, including 1014 upregulated and 185 downregulated genes, were identified. The bioinformatics analysis showed that the differentially expressed genes were mainly involved in the longevity regulating pathway, circadian rhythm, DNA replication, and peroxisome, purine, pyrimidine, and drug metabolism. The qRT-PCR verification results showed the same trend, which confirmed that the expression of the differentially expressed genes had changed, and that the transcriptome sequencing data were reliable. This study investigated the changes in the transcriptome levels in the DENV-2-infected Ae. aegypti Aag2 cell line, which provides a faster and effective method for discovering genes related to Ae. aegypti pathogen susceptibility. The findings provide basic data and directions for further research on the complex mechanism underlying host-pathogen interactions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Ph. D. Student 5 10%
Lecturer 3 6%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 8 16%
Unknown 21 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 27%
Immunology and Microbiology 4 8%
Agricultural and Biological Sciences 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Nursing and Health Professions 1 2%
Other 6 12%
Unknown 20 39%
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 19 August 2020.
All research outputs
#15,623,687
of 23,230,825 outputs
Outputs from Parasites & Vectors
#3,431
of 5,538 outputs
Outputs of similar age
#249,159
of 400,501 outputs
Outputs of similar age from Parasites & Vectors
#85
of 141 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,538 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 400,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.