ArticleScientific reports2013
Network analysis reveals functional cross-links between disease and inflammation genes.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
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- Anti-Septic Potential of 7-α-Obacunyl Acetate Isolated from theInfection and drug resistance · 2021Article
- Contributions of Gene Modules Regulated by Essential Noncoding RNA in Colon Adenocarcinoma Progression.BioMed research international · 2020Article
- Disease association of human tumor suppressor genes.Molecular genetics and genomics : MGG · 2019Article
- CXCL8Biological research · 2019Article
- Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease.Scientific reports · 2018Article
- Identification of Shared Molecular Signatures Indicate the Susceptibility of Endometriosis to Multiple Sclerosis.Frontiers in genetics · 2018Article
- An Organic Anion Transporter 1 (OAT1)-centered Metabolic Network.The Journal of biological chemistry · 2016Article
- A functional module-based exploration between inflammation and cancer in esophagus.Scientific reports · 2015Article
- Integrative analysis of human protein, function and disease networks.Scientific reports · 2015Article
- Neural effects of inflammation, cardiovascular disease, and HIV: Parallel, perpendicular, or progressive?Neuroscience · 2015Review
- Network analysis of inflammatory genes and their transcriptional regulators in coronary artery disease.PloS one · 2014Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Connections between inflammation and diseases are suggested important in understanding the genetic mechanisms of diseases. However, studies on the functional cross-links between inflammation and disease genes are still in their early stages. We integrated the protein-protein interaction (PPI), inflammation genes, and gene-disease associations to construct a disease-inflammation network (DIN). We found that nodes, which are both inflammation and disease genes (namely inter-genes), are topologically important in the DIN structure. Via mapping inter-genes to PPI, we classified diseases into two categories, which are significantly different in Intimacy measuring the contribution of inflammation genes to the connections between disease pairs. Furthermore, we constructed a cross-talking subpathways network. As indicated, the cross-subpathway analysis shows great performance in capturing higher-level relationship among inflammation and disease processes. Collectively, The network-based analysis provides us a rather promising insight into the intricate relationship between inflammation and disease genes.
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