Highlighting the role of immune responses, cell death and the nervous system in acute rotavirus infection using weighted gene co-expression network analysis

Abstract

Aim: Identifying genes and pathways involved in various stages of rotavirus infection could facilitate the mapping of the interactions between the virus and host. Materials & methods: Weighted gene co-expression network analysis (WGCNA) was employed to construct a co-expression network of genes identified by microarray analysis from samples from children with acute rotavirus infection. Results: Two specific modules were most related to rotavirus infection. The analysis of differentially expressed genes (DEGs) disclosed 393 DEGs between normal and infected individuals. Eighteen novel genes were shared between the modules. Conclusion: The WGCNA revealed novel modules, co-expressed genes and pathways involved in immune responses, cell death/degradation and the nervous system in acute rotavirus infection.