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Multi-omics based dynamic molecular changes characterization in EV-A71-infected mice elucidating potential therapeutic targets

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NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP482609
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To explore the mechanisms underlying the pathogenesis of EV-A71 infection and to identify new therapeutic opportunities, we performed comprehensive proteogenomic characterization of the muscle tissue of BALB/c mice infected with EV-A71, including transcriptomic, proteomic and phosphoproteomic data. Our results showed that phagosome, complement and coagulation cascade pathway-related molecules were activated, and the expression of cell growth-related molecules was downregulated. Time course analysis revealed dynamic changes in the expression of the genes, and cluster analysis revealed different trends. Additionally, we mapped the global phosphorylation profiles to dysregulated kinases, predicting 32 drugs corresponding to 27 kinases. We found that kinase inhibitors have antiviral activity in vitro; vandetanib, nintedanib and dasatinib can inhibit virus replication in mice to some extent. Our multiple -omics dataset represents a useful resource for researchers seeking to better understand and identify candidate therapeutic drugs for treating EV-A71 infection. Overall design: The differentially expressed genes at different time points (0, 2 and 5 dpi) after EV-A71 infection were compared.
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2025-10-31
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