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多重分析可实现 m6A 在位点、基因和样本分辨率上的稳健定量。

Multiplexed profiling facilitates robust m6A quantification at site, gene and sample resolution.

机构信息

Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.

Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel.

出版信息

Nat Methods. 2021 Sep;18(9):1060-1067. doi: 10.1038/s41592-021-01242-z. Epub 2021 Sep 3.

Abstract

N-methyladenosine (m6A) is the most prevalent modification of messenger RNA in mammals. To interrogate its functions and dynamics, there is a critical need to quantify m6A at three levels: site, gene and sample. Current approaches address these needs in a limited manner. Here we develop m6A-seq2, relying on multiplexed m6A-immunoprecipitation of barcoded and pooled samples. m6A-seq2 allows a big increase in throughput while reducing technical variability, requirements of input material and cost. m6A-seq2 is furthermore uniquely capable of providing sample-level relative quantitations of m6A, serving as an orthogonal alternative to mass spectrometry-based approaches. Finally, we develop a computational approach for gene-level quantitation of m6A. We demonstrate that using this metric, roughly 30% of the variability in RNA half life in mouse embryonic stem cells can be explained, establishing m6A as a main driver of RNA stability. m6A-seq2 thus provides an experimental and analytic framework for dissecting m6A-mediated regulation at three different levels.

摘要

N6-甲基腺苷(m6A)是哺乳动物中信使 RNA 最普遍的修饰。为了研究其功能和动态,我们迫切需要在三个水平上定量 m6A:位点、基因和样本。目前的方法在一定程度上解决了这些需求。在这里,我们开发了 m6A-seq2,它依赖于多聚体 m6A-免疫沉淀和带有条形码的混合样本。m6A-seq2 大大提高了通量,同时减少了技术变异性、对输入材料的要求和成本。m6A-seq2 还具有独特的能力,可以提供样本水平的 m6A 相对定量,作为基于质谱的方法的正交替代。最后,我们开发了一种用于基因水平 m6A 定量的计算方法。我们证明,使用这种度量标准,大约 30%的小鼠胚胎干细胞中 RNA 半衰期的变异性可以得到解释,这确立了 m6A 作为 RNA 稳定性的主要驱动因素。因此,m6A-seq2 为在三个不同水平上解析 m6A 介导的调控提供了一个实验和分析框架。

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