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Updated: Jun 12, 2025

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

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Sequence Design for RNA-RNA Interactions.

Maria Waldl1,2,3, Hua-Ting Yao1, Ivo L Hofacker4

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

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

This study introduces a computational framework for designing RNA sequences that interact and regulate gene expression. The method optimizes RNA structures for biotechnology applications, including controlling gene expression via specific RNA-RNA interactions.

Keywords:
RNA folding kineticsRNA sequence designRNA structureRNA-RNA interactions

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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA
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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

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Area of Science:

  • Computational Biology
  • Synthetic Biology
  • Biotechnology

Background:

  • Regulatory RNAs control gene expression through RNA-RNA interactions.
  • Designing RNA sequences with specific structural properties is computationally challenging.
  • Controlling gene expression via RNA-RNA interactions has significant biotechnological potential.

Purpose of the Study:

  • To demonstrate the use of the Infrared framework for designing interacting RNA sequences.
  • To design artificial untranslated regions (UTRs) to regulate gene expression via interaction with a specific small RNA (sRNA).
  • To integrate thermodynamic and kinetic folding features into the RNA design process.

Main Methods:

  • Utilized the Infrared computational framework for sequence design.
  • Incorporated design constraints, quality measures, and cost functions within the framework.
  • Employed the RRIkinDP tool to estimate and include kinetic folding features.
  • Developed a step-by-step protocol in a Jupyter notebook with Python code.

Main Results:

  • Successfully designed artificial UTRs to control gene expression regulated by the DsrA sRNA.
  • Demonstrated the relevance of both thermodynamic and kinetic folding features in RNA design.
  • Showcased the integration of kinetic folding data into the design cost function.

Conclusions:

  • The Infrared framework is effective for designing interacting RNA sequences with desired regulatory functions.
  • The developed protocol provides a flexible approach for RNA sequence design, adaptable to various biotechnological and biomedical applications.
  • Integrating kinetic folding properties enhances the design of functional regulatory RNAs.