ArticleiScience2020
Integrative Network Biology Framework Elucidates Molecular Mechanisms of SARS-CoV-2 Pathogenesis.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed.
- Integrated multi-sample transcriptomic analysis of COVID-19 patients against controls using a bioinformatics pipeline.Scientific reports · 2025Article
- Integrative systems biology framework discovers common gene regulatory signatures in mechanistically distinct inflammatory skin diseases.NPJ systems biology and applications · 2025Article
- Integrated Systems Biology Pipeline to Compare Co-Expression Networks in Plants and Elucidate Differential Regulators.Plants (Basel, Switzerland) · 2023Article
- Identification of essential genes associated with SARS-CoV-2 infection as potential drug target candidates with machine learning algorithms.Scientific reports · 2023Article
- The Lost and Found: Unraveling the Functions of Orphan Genes.Journal of developmental biology · 2023Review
- Ranking Plant Network Nodes Based on Their Centrality Measures.Entropy (Basel, Switzerland) · 2023Article
- Network Biology Analyses and Dynamic Modeling of Gene Regulatory Networks under Drought Stress Reveal Major Transcriptional Regulators inInternational journal of molecular sciences · 2023Article
- Article
- Preparation and Utilization of a Versatile GFP-Protein Trap-Like System for Protein Complex Immunoprecipitation in Plants.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Building Protein-Protein Interaction Graph Database Using Neo4j.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Protein-Protein Interaction Network Analysis Using NetworkX.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Protein-Protein Interaction Network Exploration Using Cytoscape.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Dynamic Enrichment for Evaluation of Protein Networks (DEEPN): A High Throughput Yeast Two-Hybrid (Y2H) Protocol to Evaluate Networks.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Cytotrap: An Innovative Approach for Protein-Protein Interaction Studies for Cytoplasmic Proteins.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Cytotrap: An Innovative Approach for Protein-Protein Interaction Studies for Cytoplasmic Proteins.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Transcriptomics and RNA-Based Therapeutics as Potential Approaches to Manage SARS-CoV-2 Infection.International journal of molecular sciences · 2022Review
- A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions.STAR protocols · 2022Article
- Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2.Chemical reviews · 2022Review
- Conjunctival epithelial cells resist productive SARS-CoV-2 infection.Stem cell reports · 2022Article
- An approach to cellular tropism of SARS-CoV-2 through protein-protein interaction and enrichment analysis.Scientific reports · 2022Article
Corrections and comments
- Update of
Authors and funding
5 authors.
Funding
Abstract
COVID-19 (coronavirus disease 2019) is a respiratory illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although the pathophysiology of this virus is complex and largely unknown, we employed a network-biology-fueled approach and integrated transcriptome data pertaining to lung epithelial cells with human interactome to generate Calu-3-specific human-SARS-CoV-2 interactome (CSI). Topological clustering and pathway enrichment analysis show that SARS-CoV-2 targets central nodes of the host-viral network, which participate in core functional pathways. Network centrality analyses discover 33 high-value SARS-CoV-2 targets, which are possibly involved in viral entry, proliferation, and survival to establish infection and facilitate disease progression. Our probabilistic modeling framework elucidates critical regulatory circuitry and molecular events pertinent to COVID-19, particularly the host-modifying responses and cytokine storm. Overall, our network-centric analyses reveal novel molecular components, uncover structural and functional modules, and provide molecular insights into the pathogenicity of SARS-CoV-2 that may help foster effective therapeutic design.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.