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. 2021 Sep 8;11:171. doi: 10.1186/s13578-021-00684-4

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Integrative networks analysis of SARS-CoV-2 infected cells. A Viral gene-SR gene-TF regulatory network. B The PPI networks among SR genes. The node size is determined by the degree. Pie chart showing the association between viral genes and each SR gene. C The lncRNA/circRNA-SR gene co-expression network. The node size is determined by the degree. LncRNAs are shown in purple, while circRNAs are shown in orange. D Drug-SR gene interaction network. Small molecule drugs and biotech drugs are shown, respectively. For SR genes, the immune-related genes are shown in red, and cell proliferation-related genes are marked in blue. The drug-gene clusters identified by network clustering analysis are connected by different colors