Transcriptional response to SARS-CoV-2 infection
Ontology highlight
ABSTRACT:
ORGANISM(S): Mustela putorius furo Homo sapiens
PROVIDER: GSE147507 | GEO | 2020/03/25
REPOSITORIES: GEO
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Project description:COVID-19 is a pandemic that shares only certain clinical characteristics with other acute viral infections. Here, we studied the whole-blood transcriptomic host response to SARS-CoV-2 and compared it with other viral infections to understand similarities and differences in host response. We profiled peripheral blood from 24 healthy controls and 62 prospectively enrolled patients with community-acquired lower respiratory tract infection by SARS-Cov-2 within the first 24 hours of hospital admission using RNA-seq. We also collected 23 independent studies that profiled 1,855 blood samples from patients with one of six viruses (influenza, RSV, HRV, Ebola, Dengue, and SARS). We identified differentially expressed genes that change in patients with COVID-19 or other viral infections. We show changes in gene expression in peripheral blood from patients with COVID-19 are highly correlated with changes in response to other viral infections (r=0.74, p<0.001). However, two genes, ACO1 and ATL3, show significantly different changes in expression. Pathway analysis of differentially expressed genes in patients with COVID-19 or other viral infections versus healthy controls also identified similar pathways including neutrophil activation, innate immune response, immune response to viral infection, and cytokine production for over-expressed genes, as well as lymphocyte differentiation and T cell activation for under-expressed genes. When comparing transcriptome profiles of patients with COVID-19 directly with those with other viral infections, we found 114 and 302 genes were over- and under-expressed, respectively during COVID-19. Pathways analysis did not identify any significant pathways in these genes. Statistical deconvolution using immunoStates found that M1 macrophages, plasmacytoid dendritic cells, CD14+ monocytes, CD4+ T cells, and total B cells showed changes consistently in the same direction across all viral infections including COVID-19. Those that increased in COVID-19 but decreased in non-COVID were CD56bright NK cells, M2 macrophages, and total NK cells. The concordant and discordant responses mapped out via such a comparison provides a window to explore the underlying biology of why COVID-19 is so different from other viral infections encountered so far. Together, results from pathway and immunoStates analyses help dissect major shifts in cellularity and activation of signaling pathways as part of host response to SARS-CoV-2
2020-12-10 | GSE152641 | GEO
Project description:We sought to define the host immune response, a.k.a, the “cytokine storm” that has been implicated in fatal COVID-19 using an AI-based approach. Over 45,000 publicly available transcriptomic datasets of viral pandemics were analyzed to extract a 166-gene signature using ACE2 as a ‘seed’ gene; ACE2 was rationalized because the receptor it encodes enables the virus that causes Covid-19, SARS-CoV-2, to enter host cells. The signature was surprisingly conserved in all viral pandemics, including COVID-19, inspiring the nomenclature ViP-signature. A subset of 20-genes classified disease severity in respiratory pandemics. The ViP signatures pinpointed airway epithelial and myeloid cells as the major contributors of an IL-15 cytokine storm, and epithelial and NK cell destruction as determinants of severity/fatality. They also helped formulate precise therapeutic goals to reduce disease symptoms and severity. Thus, the ViP signatures provide a quantitative and qualitative framework for titrating the immune response in viral pandemics and may serve as a powerful unbiased tool in our armamentarium to rapidly assess disease severity and vet candidate drugs.
2020-12-07 | GSE157059 | GEO
Project description:We sought to define the host immune response, a.k.a, the “cytokine storm” that has been implicated in fatal COVID-19 using an AI-based approach. Over 45,000 publicly available transcriptomic datasets of viral pandemics were analyzed to extract a 166-gene signature using ACE2 as a ‘seed’ gene; ACE2 was rationalized because the receptor it encodes enables the virus that causes Covid-19, SARS-CoV-2, to enter host cells. The signature was surprisingly conserved in all viral pandemics, including COVID-19, inspiring the nomenclature ViP-signature. A subset of 20-genes classified disease severity in respiratory pandemics. The ViP signatures pinpointed airway epithelial and myeloid cells as the major contributors of an IL-15 cytokine storm, and epithelial and NK cell destruction as determinants of severity/fatality. They also helped formulate precise therapeutic goals to reduce disease symptoms and severity. Thus, the ViP signatures provide a quantitative and qualitative framework for titrating the immune response in viral pandemics and may serve as a powerful unbiased tool in our armamentarium to rapidly assess disease severity and vet candidate drugs.
2020-12-07 | GSE157058 | GEO
Project description:We sought to define the host immune response, a.k.a, the “cytokine storm” that has been implicated in fatal COVID-19 using an AI-based approach. Over 45,000 publicly available transcriptomic datasets of viral pandemics were analyzed to extract a 166-gene signature using ACE2 as a ‘seed’ gene; ACE2 was rationalized because the receptor it encodes enables the virus that causes Covid-19, SARS-CoV-2, to enter host cells. The signature was surprisingly conserved in all viral pandemics, including COVID-19, inspiring the nomenclature ViP-signature. A subset of 20-genes classified disease severity in respiratory pandemics. The ViP signatures pinpointed airway epithelial and myeloid cells as the major contributors of an IL-15 cytokine storm, and epithelial and NK cell destruction as determinants of severity/fatality. They also helped formulate precise therapeutic goals to reduce disease symptoms and severity. Thus, the ViP signatures provide a quantitative and qualitative framework for titrating the immune response in viral pandemics and may serve as a powerful unbiased tool in our armamentarium to rapidly assess disease severity and vet candidate drugs.
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Project description:We sought to define the host immune response, a.k.a, the “cytokine storm” that has been implicated in fatal COVID-19 using an AI-based approach. Over 45,000 publicly available transcriptomic datasets of viral pandemics were analyzed to extract a 166-gene signature using ACE2 as a ‘seed’ gene; ACE2 was rationalized because the receptor it encodes enables the virus that causes Covid-19, SARS-CoV-2, to enter host cells. The signature was surprisingly conserved in all viral pandemics, including COVID-19, inspiring the nomenclature ViP-signature. A subset of 20-genes classified disease severity in respiratory pandemics. The ViP signatures pinpointed airway epithelial and myeloid cells as the major contributors of an IL-15 cytokine storm, and epithelial and NK cell destruction as determinants of severity/fatality. They also helped formulate precise therapeutic goals to reduce disease symptoms and severity. Thus, the ViP signatures provide a quantitative and qualitative framework for titrating the immune response in viral pandemics and may serve as a powerful unbiased tool in our armamentarium to rapidly assess disease severity and vet candidate drugs.
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Project description:The coronavirus disease 2019 (COVID-19) pandemic was caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). Understanding the molecular functions of SARS-CoV-2 proteins is thus imperative to developing effective antiviral treatments. Here, we use enhanced crosslinking and immunoprecipitation to investigate SARS-CoV-2 protein interactions with viral and host RNAs. SARS-CoV-2 proteins, NSP8 and NSP12, are found to specifically bind to untranslated regions of the RNA viral genome, with NSP12 additionally binding to all transcription regulatory sequences. This provides evidence for their central roles in replication and transcription. Moreover, we discovered a potential site of NSP12 mediated genome recombination, which could explain the genetic diversity found in coronaviruses. SARS-CoV-2 proteins exogenously expressed in human lung epithelial cells bind to 4,281 unique host RNAs. Nine SARS-CoV-2 proteins upregulate target gene expression, including NSP12 which upregulates mitochondrial electron transport and N-linked glycosylation proteins. Furthermore, siRNA knockdown of NSP12-targeted proteins in human lung organoid cells demonstrates substantial antiviral effects. Conversely, NSP9 inhibits host gene expression via blocking mRNA export and dampens antiviral inflammation response such as interleukin 1α (IL1α) production. Our extensive viral protein-RNA interactome provides a catalog of potential therapeutic targets and offers insight into the etiology of COVID-19 as a safeguard against future pandemics.
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