Liu Yuanbo, Li Dean, Wang Xueting, Niu Kongyan, Bai Jun, Qu Lefeng, Liu Nan
Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
University of Chinese Academy of Sciences, Beijing, China.
Nat Commun. 2025 Jul 20;16(1):6676. doi: 10.1038/s41467-025-61697-y.
Nucleotide-containing metabolites, e.g., NAD, can serve as noncanonical initiating nucleotides (NCIN) during transcription, yielding NCIN-capped RNAs (NCIN-RNAs). Current profiling strategies are limited to detecting specific metabolite caps and lack an epitranscriptome-wide approach for quantifying the ratio between NCIN- and mG-capped forms. Here, we develop the CompasSeq analytical platform, which integrates experimental and computational frameworks, enabling comprehensive and quantitative assessment of NCIN-RNAs at the transcript resolution. CompasSeq utilizes carefully devised enzymatic reactions to selectively capture NCIN-RNAs. By introducing proper spike-ins, CompasSeq can analyze the stoichiometry of NCIN caps. We further design an orthogonal method, the quantitative exoribonuclease reduction assay, to validate newly identified NCIN-RNAs and their capping ratios. Using CompasSeq, we quantify previously unexplored NCIN capping percentages from mouse liver and illustrate their age-associated dynamics. Moreover, we uncover a dichotomy between RNA expression and NCIN capping in genes impinging on age-related pathways. Our study presents both experimental and computational solutions for in-depth analysis of NCIN-RNAs, paving the road for functional investigations into NCIN-RNAs.
含核苷酸的代谢物,如NAD,在转录过程中可作为非经典起始核苷酸(NCIN),产生NCIN加帽的RNA(NCIN-RNA)。目前的分析策略仅限于检测特定的代谢物帽,缺乏一种全转录组范围的方法来定量NCIN加帽形式和mG加帽形式之间的比例。在此,我们开发了CompasSeq分析平台,该平台整合了实验和计算框架,能够在转录本分辨率下对NCIN-RNA进行全面和定量评估。CompasSeq利用精心设计的酶促反应来选择性捕获NCIN-RNA。通过引入适当的掺入对照,CompasSeq可以分析NCIN帽的化学计量。我们进一步设计了一种正交方法,即定量外切核糖核酸酶减少试验,以验证新鉴定的NCIN-RNA及其加帽率。使用CompasSeq,我们量化了小鼠肝脏中以前未探索的NCIN加帽百分比,并说明了它们与年龄相关的动态变化。此外,我们在影响年龄相关途径的基因中发现了RNA表达和NCIN加帽之间的二分法。我们的研究为深入分析NCIN-RNA提供了实验和计算解决方案,为NCIN-RNA的功能研究铺平了道路。