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. 2021 Aug 23;9:735307. doi: 10.3389/fcell.2021.735307

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Copyright © 2021 Meng, Qin, Zhao, He, Wei, Wang, Shen, Sooranna and Song.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Correlation of SARS-CoV-2 infection with the COVID-19–related gene signatures. (A) Bar charts to quantify the proportion of heavily loaded SARS-CoV-2 in the main cell types. (B) A Venn diagram highlighting the intersecting gene signatures of heavily loaded SARS-CoV-2 cells. (C) Violin plots indicating the levels of S100A8 expression in SARS-CoV-2 positive and negative cells. Violin plots indicating the expression levels of S100A8 and CTSL in heavily loaded SARS-CoV-2 cells. (D) Feature plots revealing the relationship between COVID-19–related genes and either S100A8 or CTSL gene expression in heavily loaded SARS-CoV-2 cells. (E) A heat map revealing the relationship between COVID-19–related genes and DEGs in the SARS-CoV-2-infected epithelial cells. (F) The PPI network demonstrating the COVID-19–related infection-correlated hub gene signatures in the SARS-CoV-2-infected epithelial cells. (G) The enriched gene ontology of GSEA analysis for SARS-CoV-2-infected epithelial cell-correlated gene signatures. (H) The enriched KEGG signaling pathway of GSEA analyses for SARS-CoV-2-infected epithelial cell-correlated gene signatures.