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ZIKV infection effects changes in gene splicing, isoform composition and lncRNA expression in human neural progenitor cells

Overview of attention for article published in Virology Journal, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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10 tweeters
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1 video uploader

Citations

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17 Dimensions

Readers on

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52 Mendeley
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Title
ZIKV infection effects changes in gene splicing, isoform composition and lncRNA expression in human neural progenitor cells
Published in
Virology Journal, November 2017
DOI 10.1186/s12985-017-0882-6
Pubmed ID
Authors

Benxia Hu, Yongxia Huo, Liping Yang, Guijun Chen, Minhua Luo, Jinlong Yang, Jumin Zhou

Abstract

The Zika virus (ZIKV) is a mosquito-borne flavivirus that causes microcephaly and Guillain-Barré syndrome in infected individuals. To obtain insights into the mechanism of ZIKV infection and pathogenesis, we analyzed the transcriptome of ZIKV infected human neural progenitor cells (hNPCs) for changes in alternative splicing (AS), gene isoform (ISO) composition and long noncoding RNAs (lncRNAs) expression. We analyzed differentially expressed lncRNAs, AS, ISO from RNA-seq data in ZIKV infected hNPCs. We obtained 149 differentially expressed lncRNAs, including potential viral targets to modulate cellular processes such as cell cycle, apoptosis and immune response. The infection induced 262 cases of AS occurring in 229 genes, which were enriched in cell death, RNA processing, transport, and neuron development. Among 691 differentially expressed ISOs, upregulated ISOs were enriched in signaling, regulation of transcription, and amino acid biosynthesis, while downregulated ISOs were mostly enriched in cell cycle. Importantly, these analyses revealed specific links between ZIKV induced changes in cellular pathways and the type of changes in the host transcriptome, suggesting important regulatory mechanisms. Our analyses revealed candidate lncRNAs, AS events and ISOs which may function in ZIKV infection induced cell cycle disruption, apoptosis and attenuation of neurogenesis, and shed light on the roles of lncRNAs, AS and ISOs in virus-host interactions, and would facilitate future studies of ZIKV infection and pathogenesis.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 27%
Student > Ph. D. Student 13 25%
Student > Bachelor 6 12%
Researcher 4 8%
Student > Doctoral Student 3 6%
Other 4 8%
Unknown 8 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 31%
Agricultural and Biological Sciences 11 21%
Medicine and Dentistry 5 10%
Neuroscience 4 8%
Immunology and Microbiology 4 8%
Other 4 8%
Unknown 8 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 February 2018.
All research outputs
#2,129,034
of 12,476,917 outputs
Outputs from Virology Journal
#210
of 2,096 outputs
Outputs of similar age
#75,566
of 310,519 outputs
Outputs of similar age from Virology Journal
#17
of 215 outputs
Altmetric has tracked 12,476,917 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,096 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 89% 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 310,519 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.