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In vitro zika virus infection of human neural progenitor cells: Meta-analysis of RNA-seq assays

Gratton R.
•
Tricarico P. M.
•
Agrelli A.
altro
Brandao L. A. C.
2020
  • journal article

Periodico
MICROORGANISMS
Abstract
The Zika virus (ZIKV) is an emergent arthropod-borne virus (arbovirus) responsible for congenital Zika syndrome (CZS) and a range of other congenital malformations. Evidence shows that ZIKV infects human neural progenitor cells (hNPCs) in the fetal brain, prompting inflammation and tissue damage/loss. Despite recent advances, little is known about the pathways involved in CZS pathogenesis. We performed a meta-analysis, gene ontology (GO), and pathway analysis of whole transcriptome studies with the aim of clarifying the genes and pathways potentially altered during hNPCs infection with ZIKV. We selected three studies (17 samples of infected hPNCs compared to hPNCs uninfected controls) through a systematic search of the Gene Expression Omnibus (GEO) database. The raw reads were trimmed, counted, and normalized. Next, we performed a rank product meta-analysis to detect consistently differentially expressed genes (DEGs) in these independent experiments. We detected 13 statistically significant DEGs. GO ontology and reactome analysis showed an enrichment of interferon, pro-inflammatory, and chemokines signaling and apoptosis pathways in ZIKV-infected cells. Moreover, we detected three possible new candidate genes involved in hNPCs infection: APOL6, XAF1, and TNFRSF1. Our results confirm that interferon (IFN) signaling dominates the ZIKV response, and that a crucial contribution is given by apoptotic pathways, which might elicit the CZS phenotype.
DOI
10.3390/microorganisms8020270
WOS
WOS:000519618200126
Archivio
http://hdl.handle.net/11368/2959321
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85079694944
https://www.mdpi.com/2076-2607/8/2/270
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/2959321/1/ZIKA_RNASeq_microorganisms-08-00270-v2.pdf
Soggetti
  • Apoptosi

  • Congenital Zika syndr...

  • Gene ontology

  • Genomic

  • Pathway analysi

  • Stem cell

  • Transcriptomics

Web of Science© citazioni
11
Data di acquisizione
Mar 25, 2024
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