GSE123134
Linking cell dynamics with coexpression networks to characterize key events in chronic virus infections
The host immune response against an infection requires the coordinated action of many diverse cell subsets that dynamically adapt to the pathogen threat. Here we combined WGCNA and DCQ to analyse time-resolved mouse splenic transcriptomes in acute and chronic LCMV infections. This approach allowed to better characterize the dynamic cell events occurring in complex tissues such as the induction of the adaptive T cell response which requires the coordination of monocytes/macrophages and CD8+ T cells. Overall design: mRNA profiles of CD8 T cells and macrophages (in duplicate days 0 and 7 post-infection) from C57BL/6 mice infected with 2x10E2 pfu of LCMV strain Docile, generated by deep sequencing.