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Promoted Read-through and Mutation Against Pseudouridine-CMC by an Evolved Reverse Transcriptase.

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Biorxiv : the Preprint Server for Biology
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Summary
This summary is machine-generated.

This study introduces Mut-Ψ-seq, a novel method using N-cyclohexyl N'-(2-morpholinoethyl)carbodiimide (CMC) and engineered reverse transcriptase (RT-1306) to map pseudouridine (Ψ) modifications in RNA at base-resolution, even in challenging U-rich sequences.

Keywords:
carbodiimide-RNA reactionhigh-throughput sequencinghuman transcriptomepseudouridinereverse transcriptase signature

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Area of Science:

  • Molecular Biology
  • RNA Biology
  • Biochemistry

Background:

  • Pseudouridine (Ψ) is a prevalent RNA modification crucial for RNA function and therapeutics.
  • Existing methods struggle to detect Ψ at base-resolution, especially in U-rich regions where Ψ is common.

Purpose of the Study:

  • To develop a novel, base-resolution method for transcriptome-wide pseudouridine mapping.
  • To overcome limitations in detecting Ψ within U-rich sequences.

Main Methods:

  • Utilized N-cyclohexyl N'-(2-morpholinoethyl)carbodiimide (CMC) for selective Ψ labeling.
  • Employed an engineered reverse transcriptase (RT-1306) exhibiting enhanced read-through and mutation against CMC-Ψ adducts.
  • Developed 'Mut-Ψ-seq' combining CMC labeling and RT-1306 for high-resolution Ψ detection.

Main Results:

  • Mut-Ψ-seq successfully mapped pseudouridine at base-resolution across the transcriptome.
  • The method's mutation signatures accurately identified known Ψ sites in human rRNAs.
  • Identified a high-confidence list of Ψ sites in HEK-293T cell polyA-enriched RNAs using orthogonal chemical treatments.

Conclusions:

  • Mut-Ψ-seq provides a robust tool for base-resolution pseudouridine mapping, particularly in challenging U-rich contexts.
  • Engineered reverse transcriptases combined with selective chemical labeling offer a powerful approach for studying RNA modifications.
  • This work expands the toolkit for RNA chemical modification research and provides valuable datasets for biological studies.