Title |
Systematic analysis of the molecular mechanism underlying atherosclerosis using a text mining approach
|
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Published in |
Human Genomics, June 2016
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DOI | 10.1186/s40246-016-0075-1 |
Pubmed ID | |
Authors |
Dan Xi, Jinzhen Zhao, Wenyan Lai, Zhigang Guo |
Abstract |
Atherosclerosis is one of the common health threats all over the world. It is a complex heritable disease that affects arterial blood vessels. Chronic inflammatory response plays an important role in atherogenesis. There has been little success in fully identifying functionally important genes in the pathogenesis of atherosclerosis. In the present study, we performed a systematic analysis of atherosclerosis-related genes using text mining. We identified a total of 1312 genes. Gene ontology (GO) analysis revealed that a total of 35 terms exhibited significance (p < 0.05) as overrepresented terms, indicating that atherosclerosis invokes many genes with a wide range of different functions. Pathway analysis demonstrated that the most highly enriched pathway is the Toll-like receptor signaling pathway. Finally, through gene network analysis, we prioritized 48 genes using the hub gene method. Our study provides a valuable resource for the in-depth understanding of the mechanism underlying atherosclerosis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 6 | 30% |
Student > Ph. D. Student | 2 | 10% |
Lecturer > Senior Lecturer | 1 | 5% |
Researcher | 1 | 5% |
Student > Postgraduate | 1 | 5% |
Other | 0 | 0% |
Unknown | 9 | 45% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 3 | 15% |
Biochemistry, Genetics and Molecular Biology | 2 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Immunology and Microbiology | 1 | 5% |
Other | 1 | 5% |
Unknown | 9 | 45% |