Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth

Overview of attention for article published in Cell Stem Cell, March 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 1,345)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Readers on

mendeley
395 Mendeley
citeulike
3 CiteULike
Title
Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth
Published in
Cell Stem Cell, March 2016
DOI 10.1016/j.stem.2016.02.016
Pubmed ID
Authors

Hengli Tang, Christy Hammack, Sarah C. Ogden, Zhexing Wen, Xuyu Qian, Yujing Li, Bing Yao, Jaehoon Shin, Feiran Zhang, Emily M. Lee, Kimberly M. Christian, Ruth A. Didier, Peng Jin, Hongjun Song, Guo-li Ming, Tang, Hengli, Hammack, Christy, Ogden, Sarah C, Wen, Zhexing, Qian, Xuyu, Li, Yujing, Yao, Bing, Shin, Jaehoon, Zhang, Feiran, Lee, Emily M, Christian, Kimberly M, Didier, Ruth A, Jin, Peng, Song, Hongjun, Ming, Guo-Li, Tang H, Hammack C, Ogden SC, Wen Z, Qian X, Li Y, Yao B, Shin J, Zhang F, Lee EM, Christian KM, Didier RA, Jin P, Song H, Ming GL

Abstract

The suspected link between infection by Zika virus (ZIKV), a re-emerging flavivirus, and microcephaly is an urgent global health concern. The direct target cells of ZIKV in the developing human fetus are not clear. Here we show that a strain of the ZIKV, MR766, serially passaged in monkey and mosquito cells efficiently infects human neural progenitor cells (hNPCs) derived from induced pluripotent stem cells. Infected hNPCs further release infectious ZIKV particles. Importantly, ZIKV infection increases cell death and dysregulates cell-cycle progression, resulting in attenuated hNPC growth. Global gene expression analysis of infected hNPCs reveals transcriptional dysregulation, notably of cell-cycle-related pathways. Our results identify hNPCs as a direct ZIKV target. In addition, we establish a tractable experimental model system to investigate the impact and mechanism of ZIKV on human brain development and provide a platform to screen therapeutic compounds.

Twitter Demographics

The data shown below were collected from the profiles of 332 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 395 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 13 3%
United States 8 2%
France 5 1%
Germany 2 <1%
United Kingdom 2 <1%
Spain 1 <1%
Switzerland 1 <1%
Italy 1 <1%
Hong Kong 1 <1%
Other 2 <1%
Unknown 359 91%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 84 21%
Researcher 82 21%
Student > Ph. D. Student 65 16%
Student > Master 58 15%
Other 27 7%
Other 79 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 165 42%
Medicine and Dentistry 82 21%
Biochemistry, Genetics and Molecular Biology 48 12%
Neuroscience 21 5%
Immunology and Microbiology 19 5%
Other 60 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1951. 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 22 March 2017.
All research outputs
#248
of 7,458,341 outputs
Outputs from Cell Stem Cell
#1
of 1,345 outputs
Outputs of similar age
#30
of 282,220 outputs
Outputs of similar age from Cell Stem Cell
#1
of 56 outputs
Altmetric has tracked 7,458,341 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one has done particularly well, scoring higher than 99% 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 282,220 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 56 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 98% of its contemporaries.