starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein–RNA interaction networks from large-scale CLIP-Seq data
Indexed incrossrefdoajpubmed
Abstract
Although microRNAs (miRNAs), other non-coding RNAs (ncRNAs) (e.g. lncRNAs, pseudogenes and circRNAs) and competing endogenous RNAs (ceRNAs) have been implicated in cell-fate determination and in various human diseases, surprisingly little is known about the regulatory interaction networks among the multiple classes of RNAs. In this study, we developed starBase v2.0 (http://starbase.sysu.edu.cn/) to systematically identify the RNA-RNA and protein-RNA interaction networks from 108 CLIP-Seq (PAR-CLIP, HITS-CLIP, iCLIP, CLASH) data sets generated by 37 independent studies. By analyzing millions of RNA-binding protein binding sites, we identified ∼9000 miRNA-circRNA, 16 000 miRNA-pseudogene and 285,000 protein-RNA…
Citation impact
5,937
total citations
- FWCI
- 37.76
- Percentile
- 100%
- References
- 45
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Competing endogenous RNA
- microRNA
- Biology
- Computational biology
- RNA
- Non-coding RNA
- Pseudogene
- Genetics
No related works found for this paper.
Funding
- NNNational Natural Science Foundation of ChinaAwards: 31230042, 81070589, 31370791
- CPChina Postdoctoral Science Foundation
- GPGuangdong Province Key Laboratory of Computational Science
- NKNational Key Research and Development Program of ChinaAward: 2011CB811300
- FRFundamental Research Funds for the Central Universities