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MeSH Disease

HGNC Genes

SARS-CoV-2 proteins

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SARS-CoV-2 Proteins
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    Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

    Authors: Mariana Ferrarini; Avantika Lal; Rita Rebollo; Andreas Gruber; Andrea Guarracino; Itziar Martinez Gonzalez; Taylor Floyd; Daniel Siqueira de Oliveira; Justin Shanklin; Ethan Beausoleil; Taneli Pusa; Brett Pickett; Vanessa Aguiar-Pulido

    doi:10.21203/rs.3.rs-63136/v1 Date: 2020-08-20 Source: ResearchSquare

    The novel betacoronavirus named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) caused a worldwide pandemic ( COVID-19 MESHD) after initially emerging in Wuhan, China. Here we applied a novel, comprehensive bioinformatic strategy to public RNA sequencing and viral genome sequencing data, to better understand how SARS-CoV-2 interacts with human cells. To our knowledge, this is the first meta-analysis to predict host factors that play a specific role in SARS-CoV-2 pathogenesis, distinct from other respiratory viruses. We identified differentially expressed genes, isoforms and transposable element families specifically altered in SARS-CoV-2 infected MESHD cells. Well-known immunoregulators including CSF2 HGNC, IL-32 HGNC, IL-6 HGNC and SERPINA3 HGNC were differentially expressed, while immunoregulatory transposable element families were overexpressed. We predicted conserved interactions between the SARS-CoV-2 genome and human RNA-binding proteins such as hnRNPA1 HGNC, PABPC1 HGNC and eIF4b HGNC, which may play important roles in the viral life cycle. We also detected four viral sequence variants in the spike, polymerase, and nonstructural proteins that correlate with severity of COVID-19 MESHD. The host factors we identified likely represent important mechanisms in the disease profile of this pathogen, and could be targeted by prophylactics and/or therapeutics against SARS-CoV-2.

    Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

    Authors: Mariana G. Ferrarini; Avantika Lal; Rita Rebollo; Andreas Gruber; Andrea Guarracino; Itziar Martinez Gonzalez; Taylor Floyd; Daniel Siqueira de Oliveira; Justin Shanklin; Ethan Beausoleil; Taneli Pusa; Brett Pickett; Vanessa Aguiar-Pulido

    doi:10.1101/2020.07.28.225581 Date: 2020-07-29 Source: bioRxiv

    The novel betacoronavirus named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) caused a worldwide pandemic ( COVID-19 MESHD) after initially emerging in Wuhan, China. Here we applied a novel, comprehensive bioinformatic strategy to public RNA sequencing and viral genome sequencing data, to better understand how SARS-CoV-2 interacts with human cells. To our knowledge, this is the first meta-analysis to predict host factors that play a specific role in SARS-CoV-2 pathogenesis, distinct from other respiratory viruses. We identified differentially expressed genes, isoforms and transposable element families specifically altered in SARS-CoV-2 infected MESHD cells. Well-known immunoregulators including CSF2 HGNC, IL-32 HGNC, IL-6 HGNC and SERPINA3 HGNC were differentially expressed, while immunoregulatory transposable element families were overexpressed. We predicted conserved interactions between the SARS-CoV-2 genome and human RNA-binding proteins such as hnRNPA1 HGNC, PABPC1 HGNC and eIF4b HGNC, which may play important roles in the viral life cycle. We also detected four viral sequence variants in the spike, polymerase, and nonstructural proteins that correlate with severity of COVID-19 MESHD. The host factors we identified likely represent important mechanisms in the disease profile of this pathogen, and could be targeted by prophylactics and/or therapeutics against SARS-CoV-2.

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MeSH Disease
HGNC Genes
SARS-CoV-2 Proteins


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