Institute of Life Sciences, Nalco Square, Bhubaneswar 751023, India.
School of Biotechnology, KIIT University, Bhubaneswar 751023, India.
Int J Mol Sci. 2019 Aug 16;20(16):3988. doi: 10.3390/ijms20163988.
High-throughput RNA sequencing and novel bioinformatic pipelines have identified thousands of circular (circ)RNAs containing backsplice junction sequences. However, circRNAs generated from multiple exons may contain different combinations of exons and/or introns arising from alternative splicing, while the backsplice junction sequence is the same. To be able to identify circRNA splice variants, we developed a method termed circRNA-Rolling Circle Amplification (circRNA-RCA). This method detects full-length circRNA sequences by performing reverse transcription (RT) in the absence of RNase H activity, followed by polymerase chain reaction (PCR) amplification of full-length circRNAs using a forward primer spanning the backsplice junction sequence and a reverse primer exactly upstream of the forward primer. By sequencing the PCR products, circRNA splice variants bearing the same backsplice junctions, which were otherwise only predicted computationally, could be experimentally validated. The splice variants were further predicted to associate with different subsets of target RNA-binding proteins and microRNAs, supporting the notion that different circRNA splice variants can have different biological impacts. In sum, the circRNA-RCA method allows the accurate identification of full-length circRNA sequences, offering unique insight into their individual function.
高通量 RNA 测序和新型生物信息学管道已经鉴定出数千种含有回文拼接接头序列的环状 (circ)RNAs。然而,由多个外显子产生的 circRNAs 可能包含不同的外显子和/或内含子组合,这是由可变剪接引起的,而回文拼接接头序列是相同的。为了能够鉴定 circRNA 剪接变体,我们开发了一种称为 circRNA-滚环扩增 (circRNA-RCA) 的方法。该方法通过在缺乏 RNase H 活性的情况下进行逆转录 (RT),然后使用跨越回文拼接接头序列的正向引物和正好在正向引物上游的反向引物对全长 circRNAs 进行聚合酶链反应 (PCR) 扩增,来检测全长 circRNA 序列。通过对 PCR 产物进行测序,可以实验验证具有相同回文拼接接头的 circRNA 剪接变体,而这些剪接变体在计算上仅被预测存在。这些剪接变体进一步被预测与不同的靶 RNA 结合蛋白和 microRNAs 子集相关联,支持不同的 circRNA 剪接变体可以具有不同的生物学影响的观点。总之,circRNA-RCA 方法允许对全长 circRNA 序列进行准确鉴定,为它们的个体功能提供独特的见解。