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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...

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Autores principales: Sun, Guihua, Cui, Qi, Garcia, Gustavo, Wang, Cheng, Zhang, Mingzi, Arumugaswami, Vaithilingaraja, Riggs, Arthur D., Shi, Yanhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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