生物
核糖核酸
小RNA
计算生物学
重编程
深度测序
细胞生物学
遗传学
小RNA
细胞
基因
基因组
作者
Junchao Shi,Yunfang Zhang,Dongmei Tan,Xudong Zhang,Menghong Yan,Ying Zhang,Reuben Franklin,Marta N. Shahbazi,Kirsty Mackinlay,Shichao Liu,Bernhard Kuhle,Emma James,Liwen Zhang,Yongcun Qu,Qiwei Zhai,W. R. Zhao,Linlin Zhao,Changcheng Zhou,Weifeng Gu,Jernej Murn
标识
DOI:10.1038/s41556-021-00652-7
摘要
Although high-throughput RNA sequencing (RNA-seq) has greatly advanced small non-coding RNA (sncRNA) discovery, the currently widely used complementary DNA library construction protocol generates biased sequencing results. This is partially due to RNA modifications that interfere with adapter ligation and reverse transcription processes, which prevent the detection of sncRNAs bearing these modifications. Here, we present PANDORA-seq (panoramic RNA display by overcoming RNA modification aborted sequencing), employing a combinatorial enzymatic treatment to remove key RNA modifications that block adapter ligation and reverse transcription. PANDORA-seq identified abundant modified sncRNAs-mostly transfer RNA-derived small RNAs (tsRNAs) and ribosomal RNA-derived small RNAs (rsRNAs)-that were previously undetected, exhibiting tissue-specific expression across mouse brain, liver, spleen and sperm, as well as cell-specific expression across embryonic stem cells (ESCs) and HeLa cells. Using PANDORA-seq, we revealed unprecedented landscapes of microRNA, tsRNA and rsRNA dynamics during the generation of induced pluripotent stem cells. Importantly, tsRNAs and rsRNAs that are downregulated during somatic cell reprogramming impact cellular translation in ESCs, suggesting a role in lineage differentiation.
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