Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China.
Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Cell Rep. 2019 Mar 19;26(12):3444-3460.e5. doi: 10.1016/j.celrep.2019.02.078.
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.
环状 RNA(circRNAs)正在成为各种生物和疾病过程的重要调控因子。为了全面了解 circRNAs 的多样性并确定其重要性,我们对来自人类、猕猴和小鼠的多种组织中的 circRNA 文库进行了大规模研究。我们分别从这三个物种中发现了总计 104388、96675 和 82321 个 circRNA,每个物种的全长转录本平均有 72.6% 成功组装。使用这些全长 circRNAs,我们鉴定了数千个进化上保守的 circRNA,这些 circRNA 对于功能筛选和优先级确定非常有价值。通过构建物种特异性和保守的基因共表达网络,我们在全局范围内推断 circRNA 的功能,并对有前途的功能候选物进行优先级排序。为了说明已建立的先验知识如何有助于筛选功能候选物,我们使用 circRNA 共表达网络来优先考虑可能参与肝癌发生的 circRNA,并通过实验验证了它们的功能。