Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/41495
Título : Host-viral infection maps reveal signatures of severe COVID-19 patients
Autor: Bost, Pierre
Giladi, Amir
Liu, Yang
Bendjelal, Yanis
Xu, Gang
David, Eyal
Blecher-Gonen, Ronnie
Cohen, Merav
Medaglia, Chiara
Li, Hanjie
Deczkowska, Aleksandra
Zhang, Shuye
Schwikowski, Benno
Zhang, Zheng
Amit, Ido
Palavras-chave: Virus host interactions
COVID-19
Single-cell RNA-seq
Viral-Track
Publicador: Elsevier
Data da publicação: 2020
Referência: BOST, P. et al. Host-viral infection maps reveal signatures of severe COVID-19 patients. Cell, [S.l.], 2020. No prelo.
Abstract: 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.
URI: https://www.sciencedirect.com/science/article/pii/S0092867420305687
http://repositorio.ufla.br/jspui/handle/1/41495
Idioma: en_US
Aparece nas coleções:FCS - Artigos sobre Coronavirus Disease 2019 (COVID-19)

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