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GLORI for absolute quantification of transcriptome-wide m6A at single-base resolution
Nature Protocols ( IF 14.8 ) Pub Date : 2024-01-22 , DOI: 10.1038/s41596-023-00937-1
Weiguo Shen , Hanxiao Sun , Cong Liu , Yunpeng Yi , Yongkang Hou , Ye Xiao , Yufei Hu , Bo Lu , Jinying Peng , Jing Wang , Chengqi Yi

N6-methyladenosine (m6A) is the most abundant posttranscriptional chemical modification in mRNA, involved in regulating various physiological and pathological processes throughout mRNA metabolism. Recently, we developed GLORI, a sequencing method that enables the production of a globally absolute-quantitative m6A map at single-base resolution. Our technique utilizes the glyoxal- and nitrite-based chemical reaction, which selectively deaminates unmethylated adenosines while leaving m6A intact. The RNA library can then be prepared using a modified library construction protocol from enhanced UV crosslinking and immunoprecipitation (eCLIP) or commercial kits. Here we provide a detailed protocol for proper RNA sample handling and provide further guidelines for the use of a tailored bioinformatics pipeline (GLORI-tools) for subsequent data analysis. Compared with current methods, this new method is both exceptionally sensitive and robust, capable of identifying ~80,000 m6A sites with 50 Gb sequencing data in mammalian cells. It also provides a quantitative readout for m6A sites at single-base resolution. We hope the technique will provide a precise and unbiased tool for investigating m6A biology across various fields. Basic expertise in molecular biology and knowledge of bioinformatics are required for the protocol. The entire procedure can be completed within a week, with the library construction process taking ~4 d.



中文翻译:

GLORI 用于以单碱基分辨率对全转录组 m6A 进行绝对定量

N 6 -甲基腺苷(m 6 A)是mRNA中最丰富的转录后化学修饰,参与调节整个mRNA代谢的各种生理和病理过程。最近,我们开发了 GLORI,一种测序方法,能够以单碱基分辨率生成全局绝对定量 m 6 A 图谱。我们的技术利用基于乙二醛和亚硝酸盐的化学反应,选择性地脱氨基未甲基化的腺苷,同时保持 m 6 A 完整。然后可以使用增强型 UV 交联和免疫沉淀 (eCLIP) 或商业试剂盒的修改文库构建方案来制备 RNA 文库。在这里,我们提供了正确处理 RNA 样本的详细协议,并提供了使用定制生物信息学管道(GLORI-工具)进行后续数据分析的进一步指南。与现有方法相比,这种新方法非常灵敏且稳健,能够利用哺乳动物细胞中的 50 Gb 测序数据识别约 80,000 m 6 A 位点。它还以单碱基分辨率提供 m 6 A 位点的定量读数。我们希望该技术能够为跨领域研究 m 6 A 生物学提供精确且公正的工具。该协议需要分子生物学的基本专业知识和生物信息学知识。整个过程可以在一周内完成,文库构建过程需要~4天。

更新日期:2024-01-23
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