five

A potential role of extended simple sequence repeats in competing endogenous RNA crosstalk

收藏
DataCite Commons2020-08-28 更新2024-07-27 收录
下载链接:
https://tandf.figshare.com/articles/A_Potential_Role_of_Extended_Simple_Sequence_Repeats_in_Competing_Endogenous_RNA_Crosstalk/7284614/3
下载链接
链接失效反馈
官方服务:
资源简介:
MicroRNA (miRNA)-mediated crosstalk between coding and non-coding RNAs of various types is known as the competing endogenous RNA (ceRNA) concept. Here, we propose that there is a specific variant of the ceRNA language that takes advantage of simple sequence repeat (SSR) wording. We applied bioinformatics tools to identify human transcripts that may be regarded as repeat-associated ceRNAs (raceRNAs). Multiple protein-coding transcripts, transcribed pseudogenes, long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) showing this potential were identified, and numerous miRNAs were predicted to bind to SSRs. We propose that simple repeats expanded in various hereditary neurological diseases may act as sponges for miRNAs containing complementary repeats that would affect raceRNA crosstalk. Based on the representation of specific SSRs in transcripts, expression data for SSR-binding miRNAs and expression profiling data from patients, we determined that raceRNA crosstalk is most likely to be perturbed in the case of myotonic dystrophy type 1 (DM1) and type 2 (DM2).

微RNA(microRNA, miRNA)介导的各类编码RNA与非编码RNA之间的串扰,被定义为内源竞争RNA(competing endogenous RNA, ceRNA)假说。本文提出,存在一类依托简单序列重复(simple sequence repeat, SSR)序列特征的特异性ceRNA调控变体。我们运用生物信息学工具,鉴定出可归类为重复相关内源竞争RNA(repeat-associated ceRNAs, raceRNAs)的人类转录本。最终筛选出多个具备该调控潜能的蛋白质编码转录本、转录假基因、长非编码RNA(long non-coding RNAs, lncRNAs)以及环状RNA(circular RNAs, circRNAs),并预测出大量可结合SSR的miRNA。我们提出,在各类遗传性神经疾病中发生扩增的简单序列重复,可充当携带互补重复序列的miRNA的海绵,进而干扰raceRNA串扰。基于转录本中特定SSR的特征、结合SSR的miRNA的表达数据以及患者的表达谱数据,我们判定1型肌强直性营养不良(myotonic dystrophy type 1, DM1)与2型肌强直性营养不良(myotonic dystrophy type 2, DM2)患者体内的raceRNA串扰极有可能发生失调。
提供机构:
Taylor & Francis
创建时间:
2018-11-09
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作