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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 1,381)
  • 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
505 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 330 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 505 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 11 2%
United States 10 2%
France 3 <1%
United Kingdom 2 <1%
Germany 1 <1%
Switzerland 1 <1%
South Africa 1 <1%
Italy 1 <1%
Belgium 1 <1%
Other 3 <1%
Unknown 471 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 116 23%
Researcher 99 20%
Student > Ph. D. Student 86 17%
Student > Master 70 14%
Student > Doctoral Student 33 7%
Other 101 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 204 40%
Medicine and Dentistry 106 21%
Biochemistry, Genetics and Molecular Biology 66 13%
Neuroscience 26 5%
Immunology and Microbiology 25 5%
Other 78 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1950. 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
#274
of 7,736,189 outputs
Outputs from Cell Stem Cell
#1
of 1,381 outputs
Outputs of similar age
#34
of 284,578 outputs
Outputs of similar age from Cell Stem Cell
#1
of 56 outputs
Altmetric has tracked 7,736,189 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 1,381 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 284,578 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.