The impact of ZIKV infection on gene expression in neural cells over time.
Moreno Magalhães de Souza RodriguesAntonio Marques Pereira JúniorEduardo Rocha FukutaniKeityane Boone BergamaschiMariana Araújo-PereiraVanessa Riesz SalgadoArtur Trancoso Lopo de QueirozPublished in: PloS one (2024)
Zika virus (ZIKV) outbreak caused one of the most significant medical emergencies in the Americas due to associated microcephaly in newborns. To evaluate the impact of ZIKV infection on neuronal cells over time, we retrieved gene expression data from several ZIKV-infected samples obtained at different time point post-infection (pi). Differential gene expression analysis was applied at each time point, with more differentially expressed genes (DEG) identified at 72h pi. There were 5 DEGs (PLA2G2F, TMEM71, PKD1L2, UBD, and TNFAIP3 genes) across all timepoints, which clearly distinguished between infected and healthy samples. The highest expression levels of all five genes were identified at 72h pi. Taken together, our results indicate that ZIKV infection greatly impacts human neural cells at early times of infection, with peak perturbation observed at 72h pi. Our analysis revealed that all five DEGs, in samples of ZIKV-infected human neural stem cells, remained highly upregulated across the timepoints evaluated. Moreover, despite the pronounced inflammatory host response observed throughout infection, the impact of ZIKV is variable over time. Finally, the five DEGs identified herein play prominent roles in infection, and could serve to guide future investigations into virus-host interaction, as well as constitute targets for therapeutic drug development.
Keyphrases
- zika virus
- gene expression
- dengue virus
- induced apoptosis
- aedes aegypti
- genome wide
- dna methylation
- cell cycle arrest
- genome wide identification
- healthcare
- pregnant women
- signaling pathway
- machine learning
- neural stem cells
- autism spectrum disorder
- copy number
- big data
- pi k akt
- induced pluripotent stem cells
- data analysis