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Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis

The COVID-19 pandemic caused by SARS-CoV-2 has resulted in millions of confirmed cases and deaths worldwide. Understanding the biological mechanisms of SARS-CoV-2 infection is crucial for the development of effective therapies. This study conducts differential expression (DE) analysis, pathway analy...

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Autores principales: Zhang, Xiaoxi, Ahn, Seungjun, Qiu, Peihua, Datta, Somnath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468990/
https://www.ncbi.nlm.nih.gov/pubmed/37662846
http://dx.doi.org/10.3389/fgene.2023.1235927
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author Zhang, Xiaoxi
Ahn, Seungjun
Qiu, Peihua
Datta, Somnath
author_facet Zhang, Xiaoxi
Ahn, Seungjun
Qiu, Peihua
Datta, Somnath
author_sort Zhang, Xiaoxi
collection PubMed
description The COVID-19 pandemic caused by SARS-CoV-2 has resulted in millions of confirmed cases and deaths worldwide. Understanding the biological mechanisms of SARS-CoV-2 infection is crucial for the development of effective therapies. This study conducts differential expression (DE) analysis, pathway analysis, and differential network (DN) analysis on RNA-seq data of four lung cell lines, NHBE, A549, A549.ACE2, and Calu3, to identify their common and unique biological features in response to SARS-CoV-2 infection. DE analysis shows that cell line A549.ACE2 has the highest number of DE genes, while cell line NHBE has the lowest. Among the DE genes identified for the four cell lines, 12 genes are overlapped, associated with various health conditions. The most significant signaling pathways varied among the four cell lines. Only one pathway, “cytokine-cytokine receptor interaction”, is found to be significant among all four cell lines and is related to inflammation and immune response. The DN analysis reveals considerable variation in the differential connectivity of the most significant pathway shared among the four lung cell lines. These findings help to elucidate the mechanisms of SARS-CoV-2 infection and potential therapeutic targets.
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spelling pubmed-104689902023-09-01 Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis Zhang, Xiaoxi Ahn, Seungjun Qiu, Peihua Datta, Somnath Front Genet Genetics The COVID-19 pandemic caused by SARS-CoV-2 has resulted in millions of confirmed cases and deaths worldwide. Understanding the biological mechanisms of SARS-CoV-2 infection is crucial for the development of effective therapies. This study conducts differential expression (DE) analysis, pathway analysis, and differential network (DN) analysis on RNA-seq data of four lung cell lines, NHBE, A549, A549.ACE2, and Calu3, to identify their common and unique biological features in response to SARS-CoV-2 infection. DE analysis shows that cell line A549.ACE2 has the highest number of DE genes, while cell line NHBE has the lowest. Among the DE genes identified for the four cell lines, 12 genes are overlapped, associated with various health conditions. The most significant signaling pathways varied among the four cell lines. Only one pathway, “cytokine-cytokine receptor interaction”, is found to be significant among all four cell lines and is related to inflammation and immune response. The DN analysis reveals considerable variation in the differential connectivity of the most significant pathway shared among the four lung cell lines. These findings help to elucidate the mechanisms of SARS-CoV-2 infection and potential therapeutic targets. Frontiers Media S.A. 2023-08-16 /pmc/articles/PMC10468990/ /pubmed/37662846 http://dx.doi.org/10.3389/fgene.2023.1235927 Text en Copyright © 2023 Zhang, Ahn, Qiu and Datta. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Zhang, Xiaoxi
Ahn, Seungjun
Qiu, Peihua
Datta, Somnath
Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis
title Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis
title_full Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis
title_fullStr Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis
title_full_unstemmed Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis
title_short Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis
title_sort identification of shared biological features in four different lung cell lines infected with sars-cov-2 virus through rna-seq analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468990/
https://www.ncbi.nlm.nih.gov/pubmed/37662846
http://dx.doi.org/10.3389/fgene.2023.1235927
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