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利用PANDORA-seq对小RNA进行优化鉴定和表征。

Optimized identification and characterization of small RNAs with PANDORA-seq.

作者信息

Shi Junchao, Zhang Yunfang, Li Yun, Zhang Liwen, Zhang Xudong, Yan Menghong, Chen Qi, Zhang Ying

机构信息

China National Center for Bioinformation and Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.

Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.

出版信息

Nat Protoc. 2025 Apr 3. doi: 10.1038/s41596-025-01158-4.

Abstract

Small noncoding RNAs (sncRNAs) are a diverse group of RNAs including small interfering RNAs, microRNAs, PIWI-interacting RNAs and RNAs derived from structured RNAs such as transfer RNAs, ribosomal RNAs and others. These sncRNAs have varied termini and RNA modifications, which can interfere with adaptor ligation and reverse transcription during cDNA library construction, hindering detection of many types of sncRNA by standard small RNA sequencing methods. To address this limitation, PANDORA sequencing introduces a refined methodology. The procedure includes sequential enzymatic treatments of size-selected RNAs with T4PNK and AlkB, which effectively circumvent the challenges presented by the ligation-blocking termini and reverse transcription-blocking RNA modifications, followed by tailored small RNA library construction protocols and deep sequencing. The obtained datasets are analyzed with the SPORTS pipeline, which can comprehensively analyze various types of sncRNA beyond the traditionally studied classes, to include those derived from various parental RNAs (for example, from transfer RNA and ribosomal RNA), as well as output the locations on the parental RNA from which these sncRNAs are derived. The entire protocol takes ~7 d, depending on the sample size and sequencing turnaround time. PANDORA sequencing provides a transformative tool to further our understanding of the expanding small RNA universe and to explore the uncharted functions of sncRNAs.

摘要

小非编码RNA(sncRNA)是一类多样的RNA,包括小干扰RNA、微小RNA、PIWI相互作用RNA以及源自结构化RNA(如转运RNA、核糖体RNA等)的RNA。这些sncRNA具有不同的末端和RNA修饰,在cDNA文库构建过程中会干扰衔接子连接和逆转录,从而阻碍通过标准小RNA测序方法检测多种类型的sncRNA。为了解决这一局限性,PANDORA测序引入了一种改进的方法。该程序包括用T4PNK和AlkB对大小选择的RNA进行顺序酶处理,有效规避了连接阻断末端和逆转录阻断RNA修饰带来的挑战,随后采用定制的小RNA文库构建方案和深度测序。使用SPORTS流程对获得的数据集进行分析,该流程可以全面分析传统研究类别之外的各种类型的sncRNA,包括那些源自各种亲本RNA(例如,源自转运RNA和核糖体RNA)的sncRNA,并输出这些sncRNA所源自的亲本RNA上的位置。整个方案大约需要7天,具体取决于样本量和测序周转时间。PANDORA测序提供了一个变革性工具,以加深我们对不断扩展的小RNA世界的理解,并探索sncRNA未知的功能。

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