高通量测序的环状RNA检测

Mohamed Chaabane, E. Rouchka, J. Park
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引用次数: 3

摘要

选择性剪接是指在mRNA前剪接过程中,由于外显子或剪接位点的选择性选择,单个基因产生多个mRNA同种异构体。虽然典型的选择性剪接通过将上游供体位点(5'剪接位点)与下游受体位点(3'剪接位点)连接产生线性形式的RNA,但一种特殊形式的选择性剪接通过将下游供体位点(5'剪接位点)与上游受体位点(3'剪接位点)连接产生非编码环状RNA(环状RNA);例如,back-splicing。在过去的二十年里,许多研究已经发现了这种特殊形式的选择性剪接,它产生了环状RNA。尽管这些环状rna因其生物发生和功能在科学界引起了相当大的关注,但这些研究的重点一直是外显子环状rna (circRNAs:供体位点和受体位点来自外显子边界)和环状内含子rna (ciRNAs:供体和受体来自单个内含子)。这种方法是在相对缺乏搜索另一组环状rna或环状复杂rna (ccRNAs:供体位点或受体位点不来自外显子边界)的方法的情况下进行的,这些环状rna至少包含一个外显子和一个或多个侧翼内含子。对ccrna的研究将是填补这一空白的重要的第一步。在本文中,我们开发了一种新的计算算法,可以检测所有三种类型的环状rna。我们将算法应用于一组RNA-seq数据,以检查给定数据集中环状rna的组成。令人惊讶的是,我们的结果表明,新型环状RNA (ccRNA)是第二常见的环状RNA类型,而circRNA是最常见的环状RNA类型。
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Circular RNA Detection from High-throughput Sequencing
Alternative splicing refers to the production of multiple mRNA isoforms from a single gene due to alternative selection of exons or splice sites during pre-mRNA splicing. While canonical alternative splicing produces a linear form of RNA by joining an upstream donor site (5' splice site) with a downstream acceptor site (3' splice site), a special form of alternative splicing produces a non-coding circular form of RNA (circular RNA) by ligating a downstream donor site (5' splice site) with an upstream acceptor site (3' splice site); i.e., back-splicing. Over the past two decades, many studies have discovered this special form of alternative splicing that produces a circular form of RNA. Although these circular RNAs have garnered considerable attention in the scientific community for their biogenesis and functions, the focus of these studies has been on exonic circular RNAs (circRNAs: donor site and acceptor site are from exon boundaries) and circular intronic RNAs (ciRNAs: donor and acceptor are from a single intron). This type of approach was conducted in the relative absence of methods for searching another group of circular RNAs, or circular complex RNAs (ccRNAs: either the donor site or acceptor site is not from exon boundaries), that contains at least one exon and one or more flanking introns. Studies of ccRNAs would serve as a significant first step in filling this void. In this paper, we developed a new computational algorithm that can detect all three types of circular RNAs. We applied our algorithm on a set of RNA-seq data to examine the composition of circular RNAs in the given dataset. Surprisingly, our results showed that the new type of circular RNA (ccRNA) was the second most common type of circular RNA while circRNA was the most common type as expected.
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