PLoS ONEBioinformaticsPeer-reviewed journal article
Zika infection of neural progenitor cells perturbs transcription in neurodevelopmental pathways
Abstract
BackgroundA recent study of the gene expression patterns of Zika virus (ZIKV) infected human neural progenitor cells (hNPCs) revealed transcriptional dysregulation and identified cell-cycle-related pathways that are affected by infection. However deeper exploration of the information present in the RNA-Seq data can be used to further elucidate the manner in which Zika infection of hNPCs affects the transcriptome, refining pathway predictions and revealing isoform-specific dynamics.\n\nMethodology/Principal FindingsWe analyzed data published by Tang et al. using state-of-the-art tools for transcriptome analysis. By accounting for the experimental design and estimation of technical and inferential variance we were able to pinpoint Zika infection affected pathways that highlight Zikas neural tropism. The examination of differential genes reveals cases of isoform divergence.\n\nConclusions/SignificanceTranscriptome analysis of Zika infected hNPCs has the potential to identify the molecular signatures of Zika infected neural cells. These signatures may be useful for diagnostics and for the resolution of infection pathways that can be used to harvest specific targets for further study.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 9
- FWCI
- 1.03
- Field percentile
- top 20%
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