Pablo Acera Mateos, Aditya J. Sethi, Agin Ravindran, Akanksha Srivastava, Madhu Kanchi, Shafi Mahmud, Marco Guarnacci, Katrina Woodward, Jiajia Xu, Zaka Wing Sze Yuen, You Zhou, Alexandra Sneddon, William Hamilton, Jing Gao, Lora M. Starrs, Rippei Hayashi, Vihandha Wickramasinghe, Katharina Zarnack, Thomas Preiss, Gaetan Burgio, Nathalie Dehorter, Nikolay Shirokikh, Eduardo Angel Eyras Jiménez
- The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
