Systematic genome-scale identification of host factors for SARS-CoV-2 infection across models yields a core single gene dependency; ACE2
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ABSTRACT:
ORGANISM(S): Homo sapiens Chlorocebus sabaeus
PROVIDER: GSE178699 | GEO | 2022/06/22
REPOSITORIES: GEO
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Project description:Severe acute respiratory syndrome-associated coronavirus (SARS-CoV) infection causes an immune-mediated disease. We have recently shown that SARS-CoV-induced epithelial Calu-3 cytokines could exacerbate and dampen host inflammatory and T cell responses, respectively, through modulating the functions of macrophages and dendritic cells, thereby suggesting that not only are lung epithelial cells the primary cells of SARS-CoV infection, but they also involve in initiating and orchestrating the host innate and adaptive immunity. Comprehensive evaluation of the complex epithelial signaling to SARS-CoV is, thus, crucial for paving the way to better understand SARS pathogenesis and develop the innovative therapeutics against SARS. Here, based on the microarray-based functional genomics, we reported that 2B4 cells, a clonal derivative of Calu-3 cells, elicited a temporal and spatial activation of nuclear factor (NF)kappaB, activator protein (AP)-1 (ATF2/c-Jun), and interferon regulatory factor (IRF)-3/-7 at 12-, 24-, and 48-hrs post infection (p.i.), respectively, resulting in the activation of many antiviral genes, including interferon (IFN)-β, -λs, SARS-related inflammatory mediators, and various IFN-stimulated genes (ISGs). While elevated responses of IFN-β and IFN-λs were not detected until 48-hrs p.i., as a consequence of a delayed IRF-3/-7 activation, we showed, for the first time, that both types of IFNs exerted previously under-described non-redundant, complementary, and/or synergistic effects on the epithelial defense against SARS-CoV. Collectively, our results highlight the molecular mechanisms of the sequential activation of virus- and IFN-dependent signaling of lung epithelial cells against SARS-CoV and identify novel cellular targets for future studies, aiming at advancing strategies against SARS. DNA microarrays were performed in the Molecular Genomics (MG) Core Facilities at UTMB. The detailed information about the procedures of microarray analysis has been posted on the MG Core Facilities website (genomics@scms.utmb.edu). To characterize the dynamic, spatial, and temporal changes of the gene expression induced by SARS-CoV, confluent 2B4 cells grown in T-75 flasks were infected with SARS-CoV (MOI=0.1) or remained uninfected (as control) for 12, 24, and 48hrs. Because 2B4 cells were also permissive to the productive infection of Dhori virus (DHOV), a member of the Orthomyxoviridae family within the Thogotovirus genus, resulting in robust responses of IFNs and other pro-inflammatory mediators, we also established parallel cultures of DHOV-infected 2B4 cells (MOI=0.1) for the comparative analysis of global gene expression elicited by SARS-CoV- versus DHOV-infected 2B4 cells. To meet the minimal number required for application of statistical algorithms, we performed the study in triplicate at each time point for mock-, SARS-CoV-, and DHOV-infected cultures, yielding a total of 27 arrays. Briefly, supernatants were harvested from differentially treated cultures at 12-, 24-, and 48-hrs p.i. for subsequent analyses of viral yields and cytokine profiling, whereas the cells were subjected to total RNA extraction by using an RNAqueous-4PCR kit and following the protocol recommended by the manufacturer (Ambion, Austin, TX). Purified RNA samples were sent to our core facility for conversion to cDNA, biotin-labeled, and hybridized to 27 Affymetrix Human Genome U133 Plus 2.0 âGene Chipsâ each of which contained 54,675 probe set identifiers representing more than ~47,400 transcripts that identify ~38,500 well-characterized genes, and various internal controls (Affymetrix, Santa Clara, CA). Mock-infected cells were compared to cells infected with SARS-CoV or DHOV at each time point.
2010-02-24 | E-GEOD-17400 | biostudies-arrayexpress
Project description:Background: The recent emergence of a novel coronavirus in the Middle East (designated MERS-CoV) is a reminder of the zoonotic potential of coronaviruses and the severe disease these etiologic agents can cause in humans. Clinical features of Middle East respiratory syndrome (MERS) include severe acute pneumonia and renal failure that is highly reminiscent of severe acute respiratory syndrome (SARS) caused by SARS-CoV. The host response is a key component of highly pathogenic respiratory virus infection. Here, we computationally analyzed gene expression changes in a human airway epithelial cell line infected with two genetically distinct MERS-CoV strains obtained from human patients, MERS-CoV-EMC (designated EMC) and MERS-CoV-London (designated LoCoV). Results: Using topological techniques, such as persistence homology and filtered clustering, we characterized the host response system to the different MERS-CoVs, with LoCoV inducing early kinetic changes, between 3 and 12 hours post infection, compared to EMC. Robust transcriptional changes distinguished the two MERS-CoV strains predominantly at the late time points. Combining statistical analysis of infection and cytokine-stimulated treatment transcriptomics, we identified differential innate and pro-inflammatory responses between the two virus strains, including up-regulation of extracellular remodeling genes following LoCoV infection and differential pro-inflammatory responses between the two strains. Conclusions: These transcriptional differences may be the result of amino acid differences in viral proteins known to modulate innate immunity against MERS infection. Triplicate wells of Calu-3 2B4 cells were infected with Human Coronavirus EMC 2012 (HCoV-EMC) or time-matched mock infected. Cells were harvested at 0, 3, 7, 12, 18 and 24 hours post-infection (hpi), RNA extracted and transcriptomics analyzed by microarray.
2014-08-31 | E-GEOD-56677 | biostudies-arrayexpress
Project description:An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 170,000 people since the end of 2019, killed over 7,400, and caused worldwide social and economic disruption. SARS-CoV-2 infection has a mortality rate of 3.4% among confirmed cases, and there are currently no effective antiviral molecules or vaccines for its treatment or prevention. The search for effective antiviral treatments has recently highlighted host-directed strategies, however besides data describing viral interactions with cell surface receptors and activating proteases, the scientific community has little knowledge of the molecular details of SARS-CoV-2 infection. To shed light on the mechanisms used by SARS-CoV-2 to infect human cells, we have utilized affinity-purification mass spectrometry to globally profile physical host protein interactions for 26 viral proteins encoded in the SARS-CoV-2 genome, identifying 332 high confidence interactions. Among the human proteins, we identify many druggable human proteins targeted by existing FDA approved drugs that we are currently evaluating for efficacy in live SARS-CoV-2 infection assays. The identification of host-dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral targets against SARS-CoV-2 and other deadly coronavirus strains. [Original project description]
2023-03-25 | RPXD034697 | JPOST Repository
Project description:An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 170,000 people since the end of 2019, killed over 7,400, and caused worldwide social and economic disruption. SARS-CoV-2 infection has a mortality rate of 3.4% among confirmed cases, and there are currently no effective antiviral molecules or vaccines for its treatment or prevention. The search for effective antiviral treatments has recently highlighted host-directed strategies, however besides data describing viral interactions with cell surface receptors and activating proteases, the scientific community has little knowledge of the molecular details of SARS-CoV-2 infection. To shed light on the mechanisms used by SARS-CoV-2 to infect human cells, we have utilized affinity-purification mass spectrometry to globally profile physical host protein interactions for 26 viral proteins encoded in the SARS-CoV-2 genome, identifying 332 high confidence interactions. Among the human proteins, we identify many druggable human proteins targeted by existing FDA approved drugs that we are currently evaluating for efficacy in live SARS-CoV-2 infection assays. The identification of host-dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral targets against SARS-CoV-2 and other deadly coronavirus strains.
2020-03-23 | PXD018117 | Pride
Project description:Several genome-wide CRISPR knockout screens have been conducted to identify host factors regulating SARS-CoV-2 replication, but the models used have often relied on overexpression of ACE2 receptor and didn’t express TMPRSS2 protease, known to be important for viral entry at the plasma membrane. Here, we conducted a meta-analysis of these screens and showed a high level of cell-type specificity of the identified hits, arguing for the necessity to pursue efforts to uncover the full landscape of SARS-CoV-2 regulators. We performed genome-wide, bidirectional CRISPR screens in Calu-3 lung epithelial cells, as well as knockout screens in Caco-2 intestinal cells. As well as identifying ACE2 and TMPRSS2 as top hits, our study reveals a series of so far unidentified and critical host-dependency factors, including the Adaptins AP1G1 and AP1B1 and the flippase ATP8B1. Additionally, new anti-SARS-CoV-2 proteins with potent activity, including several membrane-associated Mucins (MUC1, MUC4 and MUC21), IL6R and CD44 were identified . We further observed that these genes mostly acted at the critical step of viral entry, with the notable exception of ATP8B1, the knockout of which prevented late stages of viral replication. Exploring the pro- and anti-viral breadth of these genes using highly pathogenic MERS-CoV, seasonal HCoV-NL63 and -229E and influenza A virus, we reveal that some genes such as AP1G1 and ATP8B1 are general coronavirus cofactors. In contrast, Mucins recapitulated their known role as a general antiviral defense mechanism. These results demonstrate the value of considering multiple cell models and perturbational modalities for understanding SARS-CoV-2 replication and provide a list of potential new targets for therapeutic interventions.
2022-01-20 | GSE193834 | GEO