Yuanbo Liu,Dean Li,Xueting Wang,Kongyan Niu,Jun Bai,Lefeng Qu,Nan Liu
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引用次数: 0
Abstract
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 m7G-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.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.