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Investigating RNA-RNA interactions through computational and biophysical analysis
Tyler Mrozowich1, Sean M Park1, Maria Waldl2,3,4
1Department of Chemistry and Biochemistry, Alberta RNA Research and Training Institute, University of Lethbridge, 4401 University Drive, Lethbridge, ABT1K 3M4, Canada.
Nucleic Acids Research
|March 31, 2023
Summary
Researchers characterized the Japanese encephalitis virus (JEV) RNA-RNA genome interaction, identifying the cyclization sequence as key. This study provides a framework for understanding viral RNA interactions and developing therapeutics.
Area of Science:
- Virology
- Molecular Biology
- Biophysics
Background:
- Many viruses, including flaviviruses, rely on long-range RNA-RNA genome interactions for their life cycle.
- Japanese encephalitis virus (JEV) serves as a model to investigate these crucial interactions.
Purpose of the Study:
- To computationally predict and biophysically characterize the long-range RNA-RNA genomic interaction in JEV.
- To identify the primary RNA-RNA interacting sites and the role of the cyclization sequence.
Main Methods:
- Computational RNA interaction prediction programs.
- In vitro RNA transcription.
- Size-exclusion chromatography coupled with multi-angle light scattering (SEC-MALS).
- Analytical ultracentrifugation (AUC).
- Microscale thermophoresis (MST).
- Computational kinetic analyses.
- Small-angle X-ray scattering (SAXS).
Main Results:
- Identified the primary RNA-RNA interacting site within JEV isolates and related viruses.
- Demonstrated nM affinity between JEV 5' and 3' terminal regions, significantly reduced without the conserved cyclization sequence.
- Validated the cyclization sequence as the primary driver of the RNA-RNA interaction through kinetic analyses.
- Revealed a flexible yet stable 3D structure of the JEV RNA-RNA interaction via SAXS.
Conclusions:
- The conserved cyclization sequence is essential for the high-affinity RNA-RNA interaction in JEV.
- The characterized interaction is flexible yet stable, providing insights into viral genome organization.
- This methodology can be applied to study other viral and human long non-coding RNA-RNA interactions for therapeutic development.
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