ArticlePloS one2013
A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gene Expression Meta-Analysis Reveals Interferon-Induced Genes Associated With SARS Infection in Lungs.Frontiers in immunologyPooled it
- Human small non-coding tRNA-derived fragments as key hallmarks of host-virus interaction in viral infections.Cell & bioscience · 2026Review
- Multi-platform omics analysis of Nipah virus infection reveals viral glycoprotein modulation of mitochondria.Cell reports · 2025Article
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- COVID-19: A novel holistic systems biology approach to predict its molecular mechanisms (in vitro) and repurpose drugs.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2023Article
- Deciphering molecular mechanisms of SARS-CoV-2 pathogenesis and drug repurposing through GRN motifs: a comprehensive systems biology study.3 Biotech · 2023Article
- MICAL-mediated oxidation of actin and its effects on cytoskeletal and cellular dynamics.Frontiers in cell and developmental biology · 2023Review
- The two-stage molecular scenery of SARS-CoV-2 infection with implications to disease severity: An in-silico quest.Frontiers in immunology · 2023Article
- Article
- Upregulation of interleukin-19 in saliva of patients with COVID-19.Scientific reports · 2022Article
- The Translational Landscape of SARS-CoV-2-infected Cells Reveals Suppression of Innate Immune Genes.mBio · 2022Article
- 29 mJournal of immunology research · 2022Article
- Regulatory roles of tRNA-derived RNA fragments in human pathophysiology.Molecular therapy. Nucleic acids · 2021Review
- The translational landscape of SARS-CoV-2 and infected cells.bioRxiv : the preprint server for biology · 2021Article
- SARS-CoV-2 attenuates corticosteroid sensitivity by suppressing DUSP1 expression and activating p38 MAPK pathway.European journal of pharmacology · 2021Observational
- Comparative transcriptome analyses reveal genes associated with SARS-CoV-2 infection of human lung epithelial cells.Scientific reports · 2021Article
- Hypergraph models of biological networks to identify genes critical to pathogenic viral response.BMC bioinformatics · 2021Article
- H2V: a database of human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection.BMC bioinformatics · 2021Article
- Comprehensive Transcriptomic Analysis Identifies Novel Antiviral Factors Against Influenza A Virus Infection.Frontiers in immunology · 2021Article
- SARS-CoV-2 Switches 'on' MAPK and NFκB Signaling via the Reduction of Nuclear DUSP1 and DUSP5 Expression.Frontiers in pharmacology · 2021Article
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24 authors.
Funding
Abstract
Respiratory infections stemming from influenza viruses and the Severe Acute Respiratory Syndrome corona virus (SARS-CoV) represent a serious public health threat as emerging pandemics. Despite efforts to identify the critical interactions of these viruses with host machinery, the key regulatory events that lead to disease pathology remain poorly targeted with therapeutics. Here we implement an integrated network interrogation approach, in which proteome and transcriptome datasets from infection of both viruses in human lung epithelial cells are utilized to predict regulatory genes involved in the host response. We take advantage of a novel "crowd-based" approach to identify and combine ranking metrics that isolate genes/proteins likely related to the pathogenicity of SARS-CoV and influenza virus. Subsequently, a multivariate regression model is used to compare predicted lung epithelial regulatory influences with data derived from other respiratory virus infection models. We predicted a small set of regulatory factors with conserved behavior for consideration as important components of viral pathogenesis that might also serve as therapeutic targets for intervention. Our results demonstrate the utility of integrating diverse 'omic datasets to predict and prioritize regulatory features conserved across multiple pathogen infection models.
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