小柯机器人

美国芝加哥大学汤玮欣等研究人员合作通过酶辅助的腺苷脱氨对整个转录组进行分析并对N6-甲基腺苷进行定量。2023年1月2日，国际知名学术期刊《自然—生物技术》在线发表了这一成果。

Title: Transcriptome-wide profiling and quantification of N6-methyladenosine by enzyme-assisted adenosine deamination

Author: Xiao, Yu-Lan, Liu, Shun, Ge, Ruiqi, Wu, Yuan, He, Chuan, Chen, Mengjie, Tang, Weixin

Issue&Volume: 2023-01-02

Abstract: N6-methyladenosine (m6A), the most abundant internal messenger RNA modification in higher eukaryotes, serves myriad roles in regulating cellular processes. Functional dissection of m6A is, however, hampered in part by the lack of high-resolution and quantitative detection methods. Here we present evolved TadA-assisted N6-methyladenosine sequencing (eTAM-seq), an enzyme-assisted sequencing technology that detects and quantifies m6A by global adenosine deamination. With eTAM-seq, we analyze the transcriptome-wide distribution of m6A in HeLa and mouse embryonic stem cells. The enzymatic deamination route employed by eTAM-seq preserves RNA integrity, facilitating m6A detection from limited input samples. In addition to transcriptome-wide m6A profiling, we demonstrate site-specific, deep-sequencing-free m6A quantification with as few as ten cells, an input demand orders of magnitude lower than existing quantitative profiling methods. We envision that eTAM-seq will enable researchers to not only survey the m6A landscape at unprecedented resolution, but also detect m6A at user-specified loci with a simple workflow.

DOI: 10.1038/s41587-022-01587-6

Source: https://www.nature.com/articles/s41587-022-01587-6

Nature Biotechnology：《自然—生物技术》，创刊于1996年。隶属于施普林格·自然出版集团，最新IF：68.164
官方网址：https://www.nature.com/nbt/
投稿链接：https://mts-nbt.nature.com/cgi-bin/main.plex