Abstract

Pseudouridine (Ψ) is an abundant mRNA modification in mammalian transcriptome, but its functions have remained elusive due to the difficulty of transcriptome-wide mapping. We develop a nanopore native RNA sequencing method for quantitative Ψ prediction (NanoPsu) that utilizes native content training, machine learning modeling, and single-read linkage analysis. Biologically, we find interferon inducible Ψ modifications in interferon-stimulated gene transcripts which are consistent with a role of Ψ in enabling efficacy of mRNA vaccines.

Highlights

  • Pseudouridine (Ψ) is the second most abundant mRNA modification in the mammalian transcriptome as measured by quantitative mass spectrometry [1] and may exert many cellular functions

  • In Illumina sequencing of the bisulfite method, Ψ sites are found by RT deletions which enable identification and quantitative assessment of closely spaced rRNA Ψ sites; these sites are more difficult to assess using the more commonly used carbodiimide method that identifies Ψ sites by RT stops

  • Sequencing the remaining sample via direct RNA nanopore sequencing, we found that 640 of these Ψ sites passed our filter of 20 read coverage for further analysis (Additional file 1: Fig. S1b)

Read more

Summary

Introduction

Pseudouridine (Ψ) is the second most abundant mRNA modification in the mammalian transcriptome as measured by quantitative mass spectrometry [1] and may exert many cellular functions. Ψ incorporation in synthetic, transfected reporter mRNA increases translation [2] through decreased activation of the RNAdependent protein kinase (PKR) [3]. Functional exploration and mechanistic investigation of mRNA Ψ modification requires appropriate mapping methods. Illumina sequencing of Ψ in mRNA relies on chemical RNA treatments that induce stop, mutation, or deletion signatures in cDNA synthesis [1, 5–8]. Many computational methods have been developed to map mRNA Ψ sites [9–20]. MRNA Ψ mapping is inconsistent among these studies, in part due to the high false positives and negatives generated by the chemical treatments

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call