Expanded Expression Landscape and Prioritization of Circular RNAs in Mammals

被引:207
作者
Ji, Peifeng [1 ]
Wu, Wanying [1 ,2 ]
Chen, Shuai [1 ,2 ]
Zheng, Yi [1 ]
Zhou, Lin [1 ]
Zhang, Jinyang [1 ]
Cheng, Hao [1 ]
Yan, Jin [3 ]
Zhang, Shaogeng [3 ]
Yang, Penghui [3 ]
Zhao, Fangqing [1 ,2 ,4 ]
机构
[1] Chinese Acad Sci, Beijing Inst Life Sci, Computat Genom Lab, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Beijing 302 Hosp, Beijing 100039, Peoples R China
[4] Chinese Acad Sci, Ctr Excellence Anim Evolut & Genet, Kunming 650223, Yunnan, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
CELL-GROWTH; GENE; IDENTIFICATION; TRANSCRIPTOME; EFFICIENT; PATTERNS; DATABASE; DISTINCT; ABUNDANT; REVEALS;
D O I
10.1016/j.celrep.2019.02.078
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Circular RNAs (circRNAs) are emerging as essential regulators of various biological and disease processes. To comprehensively understand the diversity of circRNAs and prioritize their importance, we present a large-scale study of circRNA repertoires from multiple tissues from human, macaque, and mouse. We discovered totals of 104,388, 96,675, and 82,321 circRNAs from the three species, respectively, with an average of 72.6% being successfully assembled into full-length transcripts for each species. Using these full-length circRNAs, we identified thousands of evolutionarily conserved circRNAs that were valuable for functional screening and prioritization. By constructing both species-specific and conserved gene co-expression networks, we inferred circRNA functions on a global scale and prioritized promising functional candidates. To illustrate how well-established prior knowledge facilitates to screen functional candidates, we used the circRNA co-expression networks to prioritize circRNAs that may be involved in liver tumorigenesis and experimentally validated their functions.
引用
收藏
页码:3444 / +
页数:22
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