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. 2021 Sep 1;11:17473. doi: 10.1038/s41598-021-96875-7

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© The Author(s) 2021

Open Access This 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/.

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Building a virus-free COVID-19 disease model based on differential ACE2 expression in human cell lines. (a) 1305 cell lines from the Cancer Cell Line Encyclopedia (CCLE) project were sorted on the base of their ACE2 TPM (Transcripts Per Million) content. Cell lines displaying a ACE2 TPM value equal to 0 (Low ACE2) or greater than 1 (High ACE2) were grouped. (b) Top 50 differentially expressed transcripts between Low ACE2 vs. High ACE2 cell lines.