ArticleScientific reports2014
Characterizing and controlling the inflammatory network during influenza A virus infection.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 60 citations in OpenAlex.
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- Dynamic Host Immune and Transcriptomic Responses to Respiratory Syncytial Virus Infection in a Vaccination-Challenge Mouse Model.Virologica Sinica · 2021Article
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- The cytokine storms of COVID-19, H1N1 influenza, CRS and MAS compared. Can one sized treatment fit all?Cytokine · 2021Review
- A network-based computational framework to predict and differentiate functions for gene isoforms using exon-level expression data.Methods (San Diego, Calif.) · 2021Article
- Control of multilayer biological networks and applied to target identification of complex diseases.BMC bioinformatics · 2019Article
- Transcriptome Profiling Reveals Differential Effect of Interleukin-17A Upon Influenza Virus Infection in Human Cells.Frontiers in microbiology · 2019Article
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- A big data pipeline: Identifying dynamic gene regulatory networks from time-course Gene Expression Omnibus data with applications to influenza infection.Statistical methods in medical research · 2018Article
- Differential network as an indicator of osteoporosis with network entropy.Experimental and therapeutic medicine · 2018Article
- Proteome-wide analysis of human motif-domain interactions mapped on influenza a virus.BMC bioinformatics · 2018Article
- Identification of dysregulated modules based on network entropy in type 1 diabetes.Experimental and therapeutic medicine · 2018Article
- Immune responses in influenza A virus and human coronavirus infections: an ongoing battle between the virus and host.Current opinion in virology · 2018Review
- Cytokine-Mediated Tissue Injury in Non-human Primate Models of Viral Infections.Frontiers in immunology · 2018Review
- Mathematical modeling and quantitative analysis of HIV-1 Gag trafficking and polymerization.PLoS computational biology · 2017Article
- Several Indicators of Critical Transitions for Complex Diseases Based on Stochastic Analysis.Computational and mathematical methods in medicine · 2017Article
- Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To gain insights into the pathogenesis of influenza A virus (IAV) infections, this study focused on characterizing the inflammatory network and identifying key proteins by combining high-throughput data and computational techniques. We constructed the cell-specific normal and inflammatory networks for H5N1 and H1N1 infections through integrating high-throughput data. We demonstrated that better discrimination between normal and inflammatory networks by network entropy than by other topological metrics. Moreover, we identified different dynamical interactions among TLR2, IL-1β, IL10 and NFκB between normal and inflammatory networks using optimization algorithm. In particular, good robustness and multistability of inflammatory sub-networks were discovered. Furthermore, we identified a complex, TNFSF10/HDAC4/HDAC5, which may play important roles in controlling inflammation, and demonstrated that changes in network entropy of this complex negatively correlated to those of three proteins: TNFα, NFκB and COX-2. These findings provide significant hypotheses for further exploring the molecular mechanisms of infectious diseases and developing control strategies.
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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.