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Human Induced Pluripotent Stem Cell-Derived Models to Investigate Human Cytomegalovirus Infection in Neural Cells

Overview of attention for article published in PLOS ONE, November 2012
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Title
Human Induced Pluripotent Stem Cell-Derived Models to Investigate Human Cytomegalovirus Infection in Neural Cells
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049700
Pubmed ID
Authors

Leonardo D'Aiuto, Roberto Di Maio, Brianna Heath, Giorgio Raimondi, Jadranka Milosevic, Annie M. Watson, Mikhil Bamne, W. Tony Parks, Lei Yang, Bo Lin, Toshio Miki, Jocelyn Danielle Mich-Basso, Ravit Arav-Boger, Etienne Sibille, Sarven Sabunciyan, Robert Yolken, Vishwajit Nimgaonkar

Abstract

Human cytomegalovirus (HCMV) infection is one of the leading prenatal causes of congenital mental retardation and deformities world-wide. Access to cultured human neuronal lineages, necessary to understand the species specific pathogenic effects of HCMV, has been limited by difficulties in sustaining primary human neuronal cultures. Human induced pluripotent stem (iPS) cells now provide an opportunity for such research. We derived iPS cells from human adult fibroblasts and induced neural lineages to investigate their susceptibility to infection with HCMV strain Ad169. Analysis of iPS cells, iPS-derived neural stem cells (NSCs), neural progenitor cells (NPCs) and neurons suggests that (i) iPS cells are not permissive to HCMV infection, i.e., they do not permit a full viral replication cycle; (ii) Neural stem cells have impaired differentiation when infected by HCMV; (iii) NPCs are fully permissive for HCMV infection; altered expression of genes related to neural metabolism or neuronal differentiation is also observed; (iv) most iPS-derived neurons are not permissive to HCMV infection; and (v) infected neurons have impaired calcium influx in response to glutamate.

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The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United States 1 1%
Japan 1 1%
Unknown 83 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 17%
Researcher 14 16%
Student > Ph. D. Student 13 15%
Student > Master 12 14%
Professor > Associate Professor 7 8%
Other 16 18%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 30%
Biochemistry, Genetics and Molecular Biology 17 20%
Medicine and Dentistry 9 10%
Immunology and Microbiology 6 7%
Neuroscience 5 6%
Other 8 9%
Unknown 16 18%