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Bioinformatic analysis reveals the expression of unique transcriptomic signatures in Zika virus infected human neural stem cells

Author(s): Rolfe, Alyssa J; Bosco, Dale B; Wang, Jingying; Nowakowski, Richard S; Fan, Jianqing; et al

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dc.contributor.authorRolfe, Alyssa J-
dc.contributor.authorBosco, Dale B-
dc.contributor.authorWang, Jingying-
dc.contributor.authorNowakowski, Richard S-
dc.contributor.authorFan, Jianqing-
dc.contributor.authorRen, Yi-
dc.date.accessioned2021-10-11T14:17:41Z-
dc.date.available2021-10-11T14:17:41Z-
dc.date.issued2016-12en_US
dc.identifier.citationRolfe, Alyssa J, Bosco, Dale B, Wang, Jingying, Nowakowski, Richard S, Fan, Jianqing, Ren, Yi. (2016). Bioinformatic analysis reveals the expression of unique transcriptomic signatures in Zika virus infected human neural stem cells. Cell & Bioscience, 6 (1), 10.1186/s13578-016-0110-xen_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr12c5n-
dc.description.abstractBackground: The single-stranded RNA Flavivirus, Zika virus (ZIKV), has recently re-emerged and spread rapidly across the western hemisphere's equatorial countries, primarily through Aedes mosquito transmission. While symptoms in adult infections appear to be self-limiting and mild, severe birth defects, such as microcephaly, have been linked to infection during early pregnancy. Recently, Tang et al. (Cell Stem Cell 2016, doi: 10.1016/j.stem.2016.02.016 ) demonstrated that ZIKV efficiently infects induced pluripotent stem cell (iPSC) derived human neural progenitor cells (hNPCs), resulting in cell cycle abnormalities and apoptosis. Consequently, hNPCs are a suggested ZIKV target. Methods: We analyzed the transcriptomic sequencing (RNA-seq) data (GEO: GSE78711) of ZIKV (Strain: MR766) infected hNPCs. For comparison to the ZIKV-infected hNPCs, the expression data from hNPCs infected with human cytomegalovirus (CMV) (Strain: AD169) was used (GEO: GSE35295). Utilizing a combination of Gene Ontology, database of human diseases, and pathway analysis, we generated a putative systemic model of infection supported by known molecular pathways of other highly related viruses. Results: We analyzed RNA-sequencing data for transcript expression alterations in ZIKV-infected hNPCs, and then compared them to expression patterns of iPSC-derived hNPCs infected with CMV, a virus that can also induce severe congenital neurological defects in developing fetuses. We demonstrate for the first time that many of cellular pathways correlate with clinical pathologies following ZIKV infection such as microcephaly, congenital nervous system disorders and epilepsy. Furthermore, ZIKV activates several inflammatory signals within infected hNPCs that are implicated in innate and acquired immune responses, while CMV-infected hNPCs showed limited representation of these pathways. Moreover, several genes related to pathogen responses are significantly upregulated upon ZIKV infection, but not perturbed in CMV-infected hNPCs. Conclusion: The presented study is the first to report enrichment of numerous pro-inflammatory pathways in ZIKV-infected hNPCs, indicating that hNPCs are capable of signaling through canonical pro-inflammatory pathways following viral infection. By defining gene expression profiles, new factors in the pathogenesis of ZIKV were identified which could help develop new therapeutic strategies.en_US
dc.language.isoen_USen_US
dc.relation.ispartofCell & Bioscienceen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.titleBioinformatic analysis reveals the expression of unique transcriptomic signatures in Zika virus infected human neural stem cellsen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1186/s13578-016-0110-x-
dc.date.eissued2016-06-10en_US
dc.identifier.eissn2045-3701-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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