bioRxiv · 10.1101/2023.05.25.542276
MRT-ModSeq - Rapid detection of RNA modifications with MarathonRT
Abstract
Chemical modifications are essential regulatory elements that modulate the behavior and function of cellular RNAs. Despite recent advances in sequencing-based RNA modification mapping, methods combining accuracy and speed are still lacking. Here, we introduce MRT- ModSeq for rapid, simultaneous detection of multiple RNA modifications using MarathonRT. MRT-ModSeq employs distinct divalent cofactors to generate 2-D mutational profiles that are highly dependent on nucleotide identity and modification type. As a proof of concept, we use the MRT fingerprints of well-studied rRNAs to implement a general workflow for detecting RNA modifications. MRT-ModSeq rapidly detects positions of diverse modifications across a RNA transcript, enabling assignment of m1acp3Y, m1A, m3U, m7G and 2-OMe locations through mutation-rate filtering and machine learning. m1A sites in sparsely modified targets, such as MALAT1 and PRUNE1 could also be detected. MRT-ModSeq can be trained on natural and synthetic transcripts to expedite detection of diverse RNA modification subtypes across targets of interest.
Source connections
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Araujo Tavares, R. d. C., Mahadeshwar, G., Wan, H., Pyle, A. M.. 2023-05-25. MRT-ModSeq - Rapid detection of RNA modifications with MarathonRT. https://doi.org/10.1101/2023.05.25.542276
Cite the original work for its findings. Save a collection to share your selection of sources.