Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses

Abstract 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 HEK29...

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Autores principales:	Guihua Sun, Qi Cui, Gustavo Garcia, Cheng Wang, Mingzi Zhang, Vaithilingaraja Arumugaswami, Arthur D. Riggs, Yanhong Shi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0f087bf8808a4cf993b837bd93dab18a
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spelling	oai:doaj.org-article:0f087bf8808a4cf993b837bd93dab18a2021-12-02T19:02:40ZComparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses10.1038/s41598-021-96462-w2045-2322https://doaj.org/article/0f087bf8808a4cf993b837bd93dab18a2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96462-whttps://doaj.org/toc/2045-2322Abstract 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.Guihua SunQi CuiGustavo GarciaCheng WangMingzi ZhangVaithilingaraja ArumugaswamiArthur D. RiggsYanhong ShiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Guihua Sun Qi Cui Gustavo Garcia Cheng Wang Mingzi Zhang Vaithilingaraja Arumugaswami Arthur D. Riggs Yanhong Shi Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses
description	Abstract 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	article
author	Guihua Sun Qi Cui Gustavo Garcia Cheng Wang Mingzi Zhang Vaithilingaraja Arumugaswami Arthur D. Riggs Yanhong Shi
author_facet	Guihua Sun Qi Cui Gustavo Garcia Cheng Wang Mingzi Zhang Vaithilingaraja Arumugaswami Arthur D. Riggs Yanhong Shi
author_sort	Guihua Sun
title	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_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_sort	comparative transcriptomic analysis of sars-cov-2 infected cell model systems reveals differential innate immune responses
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0f087bf8808a4cf993b837bd93dab18a
work_keys_str_mv	AT guihuasun comparativetranscriptomicanalysisofsarscov2infectedcellmodelsystemsrevealsdifferentialinnateimmuneresponses AT qicui comparativetranscriptomicanalysisofsarscov2infectedcellmodelsystemsrevealsdifferentialinnateimmuneresponses AT gustavogarcia comparativetranscriptomicanalysisofsarscov2infectedcellmodelsystemsrevealsdifferentialinnateimmuneresponses AT chengwang comparativetranscriptomicanalysisofsarscov2infectedcellmodelsystemsrevealsdifferentialinnateimmuneresponses AT mingzizhang comparativetranscriptomicanalysisofsarscov2infectedcellmodelsystemsrevealsdifferentialinnateimmuneresponses AT vaithilingarajaarumugaswami comparativetranscriptomicanalysisofsarscov2infectedcellmodelsystemsrevealsdifferentialinnateimmuneresponses AT arthurdriggs comparativetranscriptomicanalysisofsarscov2infectedcellmodelsystemsrevealsdifferentialinnateimmuneresponses AT yanhongshi comparativetranscriptomicanalysisofsarscov2infectedcellmodelsystemsrevealsdifferentialinnateimmuneresponses
_version_	1718377190449479680

Comparative transcriptomic analysis of SARS-CoV-2 infected cell model systems reveals differential innate immune responses

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