| URL: | http://bis.zju.edu.cn/CancerNet |
| Full name: | A database for decoding multilevel molecular interactions across diverse cancer types |
| Description: | CancerNet is a cancer-specific database that provides multilevel molecular interactions across diverse cancer types. Users can retrieve cancer-wide or cancer-specific PPIs, miRNA–target interactions and functionally synergistic miRNAs using multiple query methods. CancerNet also provides enrichment analysis for miRNA targets and a network visualization tool. CancerNet also serves as an important data resource that can help researchers to understand the regulatory mechanisms or interaction patterns between different molecules across diverse cancer types. |
| Year founded: | 2015 |
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| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Zhejiang University |
| Address: | Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, China |
| City: | Hangzhou |
| Province/State: | Zhejiang |
| Country/Region: | China |
| Contact name (PI/Team): | Ming Chen |
| Contact email (PI/Helpdesk): | nc.ude.ujz@nehcm |
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CancerNet: a database for decoding multilevel molecular interactions across diverse cancer types. [PMID: 26690544]
Protein-protein interactions (PPIs) and microRNA (miRNA)-target interactions are important for deciphering the mechanisms of tumorigenesis. However, current PPI databases do not support cancer-specific analysis. Also, no available databases can be used to retrieve cancer-associated miRNA-target interactions. As the pathogenesis of human cancers is affected by several miRNAs rather than a single miRNA, it is needed to uncover miRNA synergism in a systems level. Here for each cancer type, we constructed a miRNA-miRNA functionally synergistic network based on the functions of miRNA targets and their topological features in that cancer PPI network. And for the first time, we report the cancer-specific database CancerNet (http://bis.zju.edu.cn/CancerNet), which contains information about PPIs, miRNA-target interactions and functionally synergistic miRNA-miRNA pairs across 33 human cancer types. In addition, PPI information across 33 main normal tissues and cell types are included. Flexible query methods are allowed to retrieve cancer molecular interactions. Network viewer can be used to visualize interactions that users are interested in. Enrichment analysis tool was designed to detect significantly overrepresented Gene Ontology categories of miRNA targets. Thus, CancerNet serves as a comprehensive platform for assessing the roles of proteins and miRNAs, as well as their interactions across human cancers. |