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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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Modified Nucleotides and RNA Structure Prediction.

Yuliia Varenyk1, Ronny Lorenz2

  • 1Department of Theoretical Chemistry, University of Vienna, Vienna, Austria.

Methods in Molecular Biology (Clifton, N.J.)
|May 23, 2024
PubMed
Summary
This summary is machine-generated.

This study shows how to predict RNA secondary structures with modified bases using the ViennaRNA Package. It incorporates modifications like pseudouridine and dihydrouridine for accurate structure and stability analysis.

Keywords:
Energy directed foldingMinimum free energy structureModified nucleotidesSuboptimal structuresdihydrouridinepseudouridinetRNA

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Bioinformatics

Background:

  • Nucleotide modifications are crucial for RNA structure, stability, and function.
  • Modified bases can alter RNA conformational space and base pairing preferences.
  • Current RNA structure prediction methods often neglect the impact of nucleotide modifications.

Purpose of the Study:

  • To demonstrate a method for incorporating nucleotide modifications into RNA secondary structure prediction.
  • To utilize the ViennaRNA Package for calculating structures of modified RNA molecules.
  • To analyze the effects of specific modifications, such as pseudouridine and dihydrouridine, on RNA structure.

Main Methods:

  • Using a heavily modified transfer RNA (tRNA) molecule as a model system.
  • Employing the ViennaRNA Package for secondary structure prediction.
  • Calculating minimum free energy and suboptimal structures with modified base support.

Main Results:

  • Successfully integrated the effects of base modifications into secondary structure predictions.
  • Demonstrated the calculation of RNA structures considering specific modifications like pseudouridine and dihydrouridine.
  • Showcased the ability to predict structures at varying levels of modified base inclusion.

Conclusions:

  • The presented approach enables accurate RNA secondary structure prediction with modified nucleotides.
  • This method enhances the understanding of how modifications influence RNA structure and function.
  • The ViennaRNA Package can be effectively used to model the impact of diverse nucleotide modifications.