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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.
  • Singh K; Bioinformatics and Computational Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
  • Chen YC; Bioinformatics and Computational Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
  • Hassanzadeh S; Laboratory of Mitochondrial Biology and Metabolism, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
  • Han K; Laboratory of Mitochondrial Biology and Metabolism, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
  • Judy JT; Bioinformatics and Computational Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
  • Seifuddin F; Bioinformatics and Computational Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
  • Tunc I; Bioinformatics and Computational Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
  • Sack MN; Laboratory of Mitochondrial Biology and Metabolism, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
  • Pirooznia M; Bioinformatics and Computational Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.
Front Genet ; 12: 599261, 2021.
Article in English | MEDLINE | ID: covidwho-1167316
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Front Genet Year: 2021 Document Type: Article Affiliation country: Fgene.2021.599261

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Front Genet Year: 2021 Document Type: Article Affiliation country: Fgene.2021.599261