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Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses
The transcriptome of SARS-CoV-2-infected cells that reflects the interplay between host and virus has provided valuable insights into mechanisms underlying SARS-CoV-2 infection and COVID-19 disease progression. In this study, we show that SARS-CoV-2 can establish a robust infection in HEK293T cells...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387424/ https://www.ncbi.nlm.nih.gov/pubmed/34433867 http://dx.doi.org/10.1038/s41598-021-96462-w |
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author | Sun, Guihua Cui, Qi Garcia, Gustavo Wang, Cheng Zhang, Mingzi Arumugaswami, Vaithilingaraja Riggs, Arthur D. Shi, Yanhong |
author_facet | Sun, Guihua Cui, Qi Garcia, Gustavo Wang, Cheng Zhang, Mingzi Arumugaswami, Vaithilingaraja Riggs, Arthur D. Shi, Yanhong |
author_sort | Sun, Guihua |
collection | PubMed |
description | The transcriptome of SARS-CoV-2-infected cells that reflects the interplay between host and virus has provided valuable insights into mechanisms underlying SARS-CoV-2 infection and COVID-19 disease progression. In this study, we show that SARS-CoV-2 can establish a robust infection in HEK293T cells that overexpress human angiotensin-converting enzyme 2 (hACE2) without triggering significant host immune response. Instead, endoplasmic reticulum stress and unfolded protein response-related pathways are predominantly activated. By comparing our data with published transcriptome of SARS-CoV-2 infection in other cell lines, we found that the expression level of hACE2 directly correlates with the viral load in infected cells but not with the scale of immune responses. Only cells that express high level of endogenous hACE2 exhibit an extensive immune attack even with a low viral load. Therefore, the infection route may be critical for the extent of the immune response, thus the severity of COVID-19 disease status. |
format | Online Article Text |
id | pubmed-8387424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83874242021-09-01 Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses Sun, Guihua Cui, Qi Garcia, Gustavo Wang, Cheng Zhang, Mingzi Arumugaswami, Vaithilingaraja Riggs, Arthur D. Shi, Yanhong Sci Rep Article The transcriptome of SARS-CoV-2-infected cells that reflects the interplay between host and virus has provided valuable insights into mechanisms underlying SARS-CoV-2 infection and COVID-19 disease progression. In this study, we show that SARS-CoV-2 can establish a robust infection in HEK293T cells that overexpress human angiotensin-converting enzyme 2 (hACE2) without triggering significant host immune response. Instead, endoplasmic reticulum stress and unfolded protein response-related pathways are predominantly activated. By comparing our data with published transcriptome of SARS-CoV-2 infection in other cell lines, we found that the expression level of hACE2 directly correlates with the viral load in infected cells but not with the scale of immune responses. Only cells that express high level of endogenous hACE2 exhibit an extensive immune attack even with a low viral load. Therefore, the infection route may be critical for the extent of the immune response, thus the severity of COVID-19 disease status. Nature Publishing Group UK 2021-08-25 /pmc/articles/PMC8387424/ /pubmed/34433867 http://dx.doi.org/10.1038/s41598-021-96462-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sun, Guihua Cui, Qi Garcia, Gustavo Wang, Cheng Zhang, Mingzi Arumugaswami, Vaithilingaraja Riggs, Arthur D. Shi, Yanhong Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses |
title | Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses |
title_full | Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses |
title_fullStr | Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses |
title_full_unstemmed | Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses |
title_short | Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses |
title_sort | comparative transcriptomic analysis of sars-cov-2 infected cell model systems reveals differential innate immune responses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387424/ https://www.ncbi.nlm.nih.gov/pubmed/34433867 http://dx.doi.org/10.1038/s41598-021-96462-w |
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