Global Prioritizing Disease Candidate lncRNAs via a Multi-level Composite Network
文献类型：期刊论文
| 作者 | Yao, Qianlan2; Wu, Leilei2; Li, Zhen2; Li, Yixue2,3; Li, Jia1,3; Yang, Li Guang1,3; Sun, Yidi1,3; He, Sheng1,3; Feng, Fangyoumin1,3; Li, Hong3 |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2017 |
| 卷号 | 7期号:-页码:39516 |
| 关键词 | CRISPR/Cas9 genome editing tRNA promoter |
| ISSN号 | 2045-2322 |
| DOI | 10.1038/srep39516 |
| 文献子类 | Article |
| 英文摘要 | LncRNAs play pivotal roles in many important biological processes, but research on the functions of lncRNAs in human disease is still in its infancy. Therefore, it is urgent to prioritize lncRNAs that are potentially associated with diseases. In this work, we developed a novel algorithm, LncPriCNet, that uses a multi-level composite network to prioritize candidate lncRNAs associated with diseases. By integrating genes, lncRNAs, phenotypes and their associations, LncPriCNet achieves an overall performance superior to that of previous methods, with high AUC values of up to 0.93. Notably, LncPriCNet still performs well when information on known disease lncRNAs is lacking. When applied to breast cancer, LncPriCNet identified known breast cancer-related lncRNAs, revealed novel lncRNA candidates and inferred their functions via pathway analysis. We further constructed the human disease-lncRNA landscape, revealed the modularity of the disease-lncRNA network and identified several lncRNA hotspots. In summary, LncPriCNet is a useful tool for prioritizing disease-related lncRNAs and may facilitate understanding of the molecular mechanisms of human disease at the lncRNA level. |
| 学科主题 | Science & Technology - Other Topics |
| WOS关键词 | LONG NONCODING RNA ; QUANTITATIVE TRAIT LOCI ; BREAST-CANCER ; PROMOTES PROLIFERATION ; ZNRD1-AS1 INFLUENCE ; CELL-PROLIFERATION ; CERVICAL-CANCER ; GASTRIC-CANCER ; UP-REGULATION ; C-MYC |
| 语种 | 英语 |
| WOS记录号 | WOS:000391095500002 |
| 出版者 | NATURE PUBLISHING GROUP |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/1057]  |
| 专题 | 中国科学院上海生命科学研究院营养科学研究所 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 2.Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Shanghai 200031, Peoples R China; 3.Chinese Acad Sci, Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, CAS Key Lab Computat Biol, Shanghai 200031, Peoples R China; 4.Fudan Univ, Collaborat Innovat Ctr Genet & Dev, Shanghai 200433, Peoples R China, |
| 推荐引用方式 GB/T 7714 | Yao, Qianlan,Wu, Leilei,Li, Zhen,et al. Global Prioritizing Disease Candidate lncRNAs via a Multi-level Composite Network[J]. SCIENTIFIC REPORTS,2017,7(-):39516. |
| APA | Yao, Qianlan.,Wu, Leilei.,Li, Zhen.,Li, Yixue.,Li, Jia.,...&,.(2017).Global Prioritizing Disease Candidate lncRNAs via a Multi-level Composite Network.SCIENTIFIC REPORTS,7(-),39516. |
| MLA | Yao, Qianlan,et al."Global Prioritizing Disease Candidate lncRNAs via a Multi-level Composite Network".SCIENTIFIC REPORTS 7.-(2017):39516. |
入库方式： OAI收割
来源：上海营养与健康研究所
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