核糖核酸
计算生物学
核酸结构
转录组
生物
假阳性悖论
人工智能
遗传学
计算机科学
基因
基因表达
作者
Zhang Zhang,Tao Chen,Hong-Xuan Chen,Ying-Yuan Xie,Liqian Chen,Yuli Zhao,Biaodi Liu,Lingmei Jin,Wutong Zhang,Chang Liu,Dong-Zhao Ma,Guoshi Chai,Ying Zhang,Wenshuo Zhao,Wen Hui Ng,Jiekai Chen,Guifang Jia,Jianhua Yang,Guan‐Zheng Luo
出处
期刊:Nature Methods
[Springer Nature]
日期:2021-09-30
卷期号:18 (10): 1213-1222
被引量:63
标识
DOI:10.1038/s41592-021-01280-7
摘要
Recent years have witnessed rapid progress in the field of epitranscriptomics. Functional interpretation of the epitranscriptome relies on sequencing technologies that determine the location and stoichiometry of various RNA modifications. However, contradictory results have been reported among studies, bringing the biological impacts of certain RNA modifications into doubt. Here, we develop a synthetic RNA library resembling the endogenous transcriptome but without any RNA modification. By incorporating this modification-free RNA library into established mapping techniques as a negative control, we reveal abundant false positives resulting from sequence bias or RNA structure. After calibration, precise and quantitative mapping expands the understanding of two representative modification types, N6-methyladenosine (m6A) and 5-methylcytosine (m5C). We propose that this approach provides a systematic solution for the calibration of various RNA-modification mappings and holds great promise in epitranscriptomic studies.
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