Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
University of Chinese Academy of Sciences, Beijing, China.
Nat Biotechnol. 2021 Jul;39(7):836-845. doi: 10.1038/s41587-021-00842-6. Epub 2021 Mar 11.
Reconstructing the sequence of circular RNAs (circRNAs) from short RNA sequencing reads has proved challenging given the similarity of circRNAs and their corresponding linear messenger RNAs. Previous sequencing methods were unable to achieve high-throughput detection of full-length circRNAs. Here we describe a protocol for enrichment and full-length sequencing of circRNA isoforms using nanopore technology. Circular reverse transcription and size selection achieves a 20-fold higher enrichment of circRNAs from total RNA compared to previous methods. We developed an algorithm, called circRNA identifier using long-read sequencing data (CIRI-long), to reconstruct the sequence of circRNAs. The workflow was validated with simulated data and by comparison to Illumina sequencing as well as quantitative real-time RT-PCR. We used CIRI-long to analyze adult mouse brain samples and systematically profile circRNAs, including mitochondria-derived and transcriptional read-through circRNAs. We identified a new type of intronic self-ligated circRNA that exhibits special splicing and expression patterns. Our method takes advantage of nanopore long reads and enables unbiased reconstruction of full-length circRNA sequences.
从短 RNA 测序读取中重建环状 RNA (circRNA) 的序列具有挑战性,因为 circRNA 与其相应的线性信使 RNA 非常相似。以前的测序方法无法实现全长 circRNA 的高通量检测。在这里,我们描述了一种使用纳米孔技术富集和全长测序 circRNA 异构体的方案。与以前的方法相比,环状反转录和大小选择可使总 RNA 中的 circRNA 富集 20 倍。我们开发了一种算法,称为使用长读测序数据的环状 RNA 标识符 (CIRI-long),用于重建 circRNA 的序列。该工作流程通过模拟数据和与 Illumina 测序以及实时定量 RT-PCR 的比较进行了验证。我们使用 CIRI-long 分析成年小鼠脑组织样本,并系统地分析 circRNA,包括线粒体衍生和转录通读 circRNA。我们鉴定了一种新的内含子自我连接的 circRNA,其具有特殊的剪接和表达模式。我们的方法利用纳米孔长读长,并能够公正地重建全长 circRNA 序列。