@article{3056305, title = "Transcriptomic similarities and differences in host response between SARS-CoV-2 and other viral infections", author = "Thair, S.A. and He, Y.D. and Hasin-Brumshtein, Y. and Sakaram, S. and Pandya, R. and Toh, J. and Rawling, D. and Remmel, M. and Coyle, S. and Dalekos, G.N. and Koutsodimitropoulos, I. and Vlachogianni, G. and Gkeka, E. and Karakike, E. and Damoraki, G. and Antonakos, N. and Khatri, P. and Giamarellos-Bourboulis, E.J. and Sweeney, T.E.", journal = "ISCIENCE", year = "2021", volume = "24", number = "1", publisher = "W B SAUNDERS CO-ELSEVIER INC", doi = "10.1016/j.isci.2020.101947", abstract = "The pandemic 2019 novel coronavirus disease (COVID-19) shares certain clinical characteristics with other acute viral infections. We studied the whole-blood transcriptomic host response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using RNAseq from 24 healthy controls and 62 prospectively enrolled patients with COVID-19. We then compared these data to non-COVID-19 viral infections, curated from 23 independent studies profiling 1,855 blood samples covering six viruses (influenza, respiratory syncytial virus (RSV), human rhinovirus (HRV), severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1), Ebola, dengue). We show gene expression changes in COVID-19 versus non-COVID-19 viral infections are highly correlated (r = 0.74, p < 0.001). However, we also found 416 genes specific to COVID-19. Inspection of top genes revealed dynamic immune evasion and counter host responses specific to COVID-19. Statistical deconvolution of cell proportions maps many cell type proportions concordantly shifting. Discordantly increased in COVID-19 were CD56bright natural killer cells and M2 macrophages. The concordant and discordant responses mapped out here provide a window to explore the pathophysiology of the host response to SARS-CoV-2. © 2020 The Authors Molecular Biology; Immunology: Bioinformatics; Transcriptomics © 2020 The Authors" }