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Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection

Analyzing host cells' transcriptional response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection will help delineate biological processes underlying viral pathogenesis. First, analysis of expression profiles of lung cell lines A549 and Calu3 revealed upregulation of anti...

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Autores principales: Singh, Komudi, Chen, Yun-Ching, Hassanzadeh, Shahin, Han, Kim, Judy, Jennifer T., Seifuddin, Fayaz, Tunc, Ilker, Sack, Michael N., Pirooznia, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008150/
https://www.ncbi.nlm.nih.gov/pubmed/33796130
http://dx.doi.org/10.3389/fgene.2021.599261
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author Singh, Komudi
Chen, Yun-Ching
Hassanzadeh, Shahin
Han, Kim
Judy, Jennifer T.
Seifuddin, Fayaz
Tunc, Ilker
Sack, Michael N.
Pirooznia, Mehdi
author_facet Singh, Komudi
Chen, Yun-Ching
Hassanzadeh, Shahin
Han, Kim
Judy, Jennifer T.
Seifuddin, Fayaz
Tunc, Ilker
Sack, Michael N.
Pirooznia, Mehdi
author_sort Singh, Komudi
collection PubMed
description Analyzing host cells' transcriptional response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection will help delineate biological processes underlying viral pathogenesis. First, analysis of expression profiles of lung cell lines A549 and Calu3 revealed upregulation of antiviral interferon signaling genes in response to all three SARS-CoV-2, MERS-CoV, or influenza A virus (IAV) infections. However, perturbations in expression of genes involved in inflammatory, mitochondrial, and autophagy processes were specifically observed in SARS-CoV-2-infected cells. Next, a validation study in infected human nasopharyngeal samples also revealed perturbations in autophagy and mitochondrial processes. Specifically, mTOR expression, mitochondrial ribosomal, mitochondrial complex I, lysosome acidification, and mitochondrial fission promoting genes were concurrently downregulated in both infected cell lines and human samples. SARS-CoV-2 infection impeded autophagic flux either by upregulating GSK3B in lung cell lines or by downregulating autophagy genes, SNAP29, and lysosome acidification genes in human samples, contributing to increased viral replication. Therefore, drugs targeting lysosome acidification or autophagic flux could be tested as intervention strategies. Finally, age-stratified SARS-CoV-2-positive human data revealed impaired upregulation of chemokines, interferon-stimulated genes, and tripartite motif genes that are critical for antiviral signaling. Together, this analysis has revealed specific aspects of autophagic and mitochondrial function that are uniquely perturbed in SARS-CoV-2-infected host cells.
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spelling pubmed-80081502021-03-31 Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection Singh, Komudi Chen, Yun-Ching Hassanzadeh, Shahin Han, Kim Judy, Jennifer T. Seifuddin, Fayaz Tunc, Ilker Sack, Michael N. Pirooznia, Mehdi Front Genet Genetics Analyzing host cells' transcriptional response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection will help delineate biological processes underlying viral pathogenesis. First, analysis of expression profiles of lung cell lines A549 and Calu3 revealed upregulation of antiviral interferon signaling genes in response to all three SARS-CoV-2, MERS-CoV, or influenza A virus (IAV) infections. However, perturbations in expression of genes involved in inflammatory, mitochondrial, and autophagy processes were specifically observed in SARS-CoV-2-infected cells. Next, a validation study in infected human nasopharyngeal samples also revealed perturbations in autophagy and mitochondrial processes. Specifically, mTOR expression, mitochondrial ribosomal, mitochondrial complex I, lysosome acidification, and mitochondrial fission promoting genes were concurrently downregulated in both infected cell lines and human samples. SARS-CoV-2 infection impeded autophagic flux either by upregulating GSK3B in lung cell lines or by downregulating autophagy genes, SNAP29, and lysosome acidification genes in human samples, contributing to increased viral replication. Therefore, drugs targeting lysosome acidification or autophagic flux could be tested as intervention strategies. Finally, age-stratified SARS-CoV-2-positive human data revealed impaired upregulation of chemokines, interferon-stimulated genes, and tripartite motif genes that are critical for antiviral signaling. Together, this analysis has revealed specific aspects of autophagic and mitochondrial function that are uniquely perturbed in SARS-CoV-2-infected host cells. Frontiers Media S.A. 2021-03-16 /pmc/articles/PMC8008150/ /pubmed/33796130 http://dx.doi.org/10.3389/fgene.2021.599261 Text en Copyright © 2021 Singh, Chen, Hassanzadeh, Han, Judy, Seifuddin, Tunc, Sack and Pirooznia. http://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
Singh, Komudi
Chen, Yun-Ching
Hassanzadeh, Shahin
Han, Kim
Judy, Jennifer T.
Seifuddin, Fayaz
Tunc, Ilker
Sack, Michael N.
Pirooznia, Mehdi
Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection
title Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection
title_full Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection
title_fullStr Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection
title_full_unstemmed Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection
title_short Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection
title_sort network analysis and transcriptome profiling identify autophagic and mitochondrial dysfunctions in sars-cov-2 infection
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008150/
https://www.ncbi.nlm.nih.gov/pubmed/33796130
http://dx.doi.org/10.3389/fgene.2021.599261
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