Exploring functions of long noncoding RNAs across multiple cancers through co-expression network

被引:41
作者
Li, Suqing [1 ]
Li, Bin [2 ,3 ,4 ]
Zheng, Yuanting [2 ,3 ,4 ,5 ]
Li, Menglong [1 ]
Shi, Leming [2 ,3 ,4 ,5 ]
Pu, Xuemei [1 ]
机构
[1] Sichuan Univ, Coll Chem, Chengdu 610064, Peoples R China
[2] Fudan Univ, Sch Life Sci, Ctr Pharmacogenom, Shanghai 201203, Peoples R China
[3] Fudan Univ, State Key Lab Genet Engn, Shanghai 201203, Peoples R China
[4] Fudan Univ, Shanghai Canc Ctr, Inst Canc, Shanghai 201203, Peoples R China
[5] Fudan Univ, Collaborat Innovat Ctr Genet & Dev, Shanghai 200438, Peoples R China
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
基金
中国国家自然科学基金;
关键词
TRANSCRIPTOME ANALYSIS; MICROARRAY DATA; BREAST-CANCER; GENE; MORPHOGENESIS; METASTASIS; REGULATOR; PROGNOSIS; SURVIVAL; GENOME;
D O I
10.1038/s41598-017-00856-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In contrast to protein-coding genes, long-noncoding RNAs (lncRNAs) are much less well understood, despite increasing evidence indicating a wide range of their biological functions, and possible roles in various cancers. Based on public RNA-seq datasets of four solid cancer types, we here utilize Weighted Correlation Network Analysis (WGCNA) to propose a strategy for exploring the functions of lncRNAs altered in more than two cancer types, which we call onco-lncRNAs. Results indicate that cancer-expressed lncRNAs show high tissue specificity and are weakly expressed, more so than protein-coding genes. Most of the 236 onco-lncRNAs we identified have not been reported to have associations with cancers before. Our analysis exploits co-expression network to reveal that onco-lncRNAs likely play key roles in the multistep development of human cancers, covering a wide range of functions in genome stability maintenance, signaling, cell adhesion and motility, morphogenesis, cell cycle, immune and inflammatory response. These observations contribute to a more comprehensive understanding of cancer-associated lncRNAs, while demonstrating a novel and efficient strategy for subsequent functional studies of lncRNAs.
引用
收藏
页数:13
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