...
首页> 外文期刊>Journal of Bioinformatics and Computational Biology >The origins and evolutionary history of human non-coding RNA regulatory networks
【24h】

The origins and evolutionary history of human non-coding RNA regulatory networks

机译:人类非编码RNA监管网络的起源和进化史

获取原文
获取原文并翻译 | 示例
           

摘要

The evolutionary history and origin of the regulatory function of animal non-coding RNAs are not well understood. Lack of conservation of long non-coding RNAs and small sizes of microRNAs has been major obstacles in their phylogenetic analysis. In this study, we tried to shed more light on the evolution of ncRNA regulatory networks by changing our phylogenetic strategy to focus on the evolutionary pattern of their protein coding targets. We used available target databases of miRNAs and lncRNAs to find their protein coding targets in human. We were able to recognize evolutionary hallmarks of ncRNA targets by phylostratigraphic analysis. We found the conventional 3'-UTR and lesser known 5'-UTR targets of miRNAs to be enriched at three consecutive phylostrata. Firstly, in eukaryata phylostratum corresponding to the emergence of miRNAs, our study revealed that miRNA targets function primarily in cell cycle processes. Moreover, the same overrepresentation of the targets observed in the next two consecutive phylostrata, opisthokonta and eumetazoa, corresponded to the expansion periods of miRNAs in animals evolution. Coding sequence targets of miRNAs showed a delayed rise at opisthokonta phylostratum, compared to the 3' and 5' UTR targets of miRNAs. LncRNA regulatory network was the latest to evolve at eumetazoa.
机译:动物非编码RNA的进化史和调节功能的起源尚不清楚。长非编码RNA和小尺寸的微小RNA缺乏保守性是其系统发育分析的主要障碍。在这项研究中,我们试图通过改变我们的系统发育策略来关注ncRNA调控网络的蛋白质编码目标的进化模式,从而进一步阐明ncRNA调控网络的进化。我们利用现有的miRNAs和lncRNAs靶点数据库来寻找它们在人类中的蛋白质编码靶点。通过系统地层学分析,我们能够识别ncRNA目标的进化特征。我们发现miRNA的常规3'-UTR和鲜为人知的5'-UTR靶点在三个连续的系统层中富集。首先,在与miRNA出现相对应的真核生物系统层中,我们的研究表明,miRNA靶点主要在细胞周期过程中发挥作用。此外,在接下来的两个连续的系统层(opisthokonta和eumetazoa)中观察到的靶基因过度表达,与动物进化中miRNA的扩展期相对应。与miRNAs的3'和5'UTR靶点相比,miRNAs的编码序列靶点在opisthokonta系统层显示延迟上升。LncRNA调控网络是eumetazoa最新的进化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号