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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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Efficient algorithms for probing the RNA mutation landscape.

Jérôme Waldispühl1, Srinivas Devadas, Bonnie Berger

  • 1Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.

Plos Computational Biology
|August 9, 2008
PubMed
Summary
This summary is machine-generated.

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This study introduces RNAmutants, a tool to predict RNA secondary structure resilience to mutations, aiding in understanding RNA evolution and designing new RNA-based therapeutics.

Area of Science:

  • Computational Biology
  • Molecular Biology
  • Bioinformatics

Background:

  • RNA molecules play crucial roles in cellular regulation and development through specific, evolutionarily optimized structures.
  • Thermodynamics-based algorithms, like McCaskill's, predict RNA secondary structures but have limitations for novel RNAs.
  • Investigating RNA resilience to mutations is vital for understanding biological function and evolutionary pressures.

Purpose of the Study:

  • To generalize the McCaskill partition function algorithm to analyze secondary structures of RNA mutants.
  • To develop a new program, RNAmutants, for computing secondary structures and partition functions of k-point mutants.
  • To assess RNA molecule resilience to pointwise mutations and identify deleterious mutations.

Main Methods:

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
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Published on: June 16, 2011

Related Experiment Videos

Last Updated: Jul 3, 2026

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
18:10

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

Published on: June 16, 2011

  • Generalized McCaskill's partition function algorithm to sum over the grand canonical ensemble of all secondary structures of all k-point mutants.
  • Developed the RNAmutants program to compute minimum free energy structures and partition functions for mutants, with options for constrained mutations.
  • Introduced the mutation profile for graphical representation of mutational tendencies at nucleotide positions.

Main Results:

  • RNAmutants successfully analyzed deleterious mutations in Hepatitis C virus and HIV RNA elements, showing qualitative agreement with experimental data.
  • Identified specific nucleotide positions or groups that, when mutated, significantly alter RNA secondary structure.
  • Provided evidence that conserved stem regions in GB RNA virus C's 3' UTR are optimized against deleterious mutations.

Conclusions:

  • RNAmutants is a valuable tool for studying RNA mutation resilience and identifying functionally important regions.
  • The findings have implications for de novo RNA design, antiviral drug development, and exploring the RNA sequence-structure network.
  • Predicted deleterious mutations can guide future experimental validation and enhance understanding of RNA evolution.