Figure 3.

Gene expression cross-analysis as a key to tissue-specific local reaction to infection. A, We selected 3 pediatric mRNA expression datasets for gene expression comparison across tissues. The GSE69606 dataset combines samples from 26 patients with acute HRSV infections, with symptoms spanning from mild to severe and the corresponding recovery paired samples. The E-MTAB-5195 dataset was originally used to investigate blood transcriptomics of 39 children during HRSV infection and for a longitudinal analysis to determine an 84-gene prognosis signature discriminating hospitalized infants with severe HRSV disease from infants with mild symptoms. The GSE34205 dataset is part of a wider study (GSE32140), aiming at establishing the signature induced by influenza and HRSV on PBMCs and primary airway epithelial cells. Because of the disease status of our study samples, we focused on severely ill children infected by HRSV. B, Comparative cross-analysis of the gene lists on the 4 datasets (3 external plus ours). Common and specific infection features and gene enrichment analysis applied to the 242 nasal-specific genes are shown. Abbreviations: HRSV, human respiratory syncytial virus; PBMC, peripheral blood mononuclear cell.