Digestive system is a potential route of COVID-19: an analysis of single-cell coexpression pattern of key proteins in viral entry process
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Open Access
- 1 June 2020
- Vol. 69 (6), 1010-1018
- https://doi.org/10.1136/gutjnl-2020-320953
Abstract
Objective Since December 2019, a newly identified coronavirus (severe acute respiratory syndrome coronavirus (SARS-CoV-2)) has caused outbreaks of pneumonia in Wuhan, China. SARS-CoV-2 enters host cells via cell receptor ACE II (ACE 2) and the transmembrane serine protease 2 (TMPRSS2). In order to identify possible prime target cells of SARS-CoV-2 by comprehensive dissection of ACE 2 and TMPRSS2 coexpression pattern in different cell types, five datasets with single-cell transcriptomes of lung, oesophagus, gastric mucosa, ileum and colon were analysed. Design Five datasets were searched, separately integrated and analysed. Violin plot was used to show the distribution of differentially expressed genes for different clusters. The ACE 2-expressing and TMPRRSS2-expressing cells were highlighted and dissected to characterise the composition and proportion. ] Results Cell types in each dataset were identified by known markers. ACE 2 and TMPRSS2 were not only coexpressed in lung AT2 cells and oesophageal upper epithelial and gland cells but also highly expressed in absorptive enterocytes from the ileum and colon. Additionally, among all the coexpressing cells in the normal digestive system and lung, the expression of ACE 2 was relatively highly expressed in the ileum and colon. Conclusion This study provides the evidence of the potential route of SARS-CoV-2 in the digestive system along with the respiratory tract based on single-cell transcriptomic analysis. This finding may have a significant impact on health policy setting regarding the prevention of SARS-CoV-2 infection. Our study also demonstrates a novel method to identify the prime cell types of a virus by the coexpression pattern analysis of single-cell sequencing data.Funding Information
- The China Ministry of Science and Technology (2018AAA0100300)
- National Natural Science Foundation of China (31821003, 81702659)
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