Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients

By Pierre Bost, A. Giladi, Yang Liu, Yanis Bendjelal, Gang Xu, Eyal David, R. Blecher-Gonen, Merav Cohen, Chiara Medaglia, Hanjie Li and 5 more. Cell, 2020

452 citations recorded by the source corpus.

Viruses are a constant threat to global health as highlighted by the current COVID-19 pandemic. Currently, lack of data underlying how the human host interacts with viruses, including the SARS-CoV-2 virus, limits effective therapeutic intervention. We introduce Viral-Track, a computational method that globally scans unmapped single-cell RNA sequencing (scRNA-seq) data for the presence of viral RNA, enabling transcriptional cell sorting of infected versus bystander cells. We demonstrate the sensitivity and specificity of Viral-Track to systematically detect viruses from multiple models of infection, including hepatitis B virus, in an unsupervised manner. Applying Viral-Track to bronchoalveloar-lavage samples from severe and mild COVID-19 patients reveals a dramatic impact of the virus on the immune system of severe patients compared to mild cases. Viral-Track detects an unexpected co-infection of the human metapneumovirus, present mainly in monocytes perturbed in type-I interferon (IFN)-signaling. Viral-Track provides a robust technology for dissecting the mechanisms of viral-infection and pathology.

Subfields: Epidemiology, Infectious Diseases, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/e0c45240450f614dab426bf68728c0eabd2dfcea

Citations in the corpus