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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
Published on: April 10, 2018
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Alternative probe chemistries for single-molecule analysis of long noncoding RNA
Kalika R Pai1, Aimee M Martin2, Madison Kadrmas3
1Department of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon, USA.
The Journal of Biological Chemistry
|April 12, 2026
Summary
Optimizing probe chemistry in single-molecule kinetic analysis of RNA transient structure (SiM-KARTS) improves long non-coding RNA (lncRNA) structural analysis. Locked nucleic acid (LNA) probes offer enhanced sensitivity for classifying complex RNA structures.
Area of Science:
- Molecular Biology
- Biophysics
- Genomics
Background:
- Single-molecule microscopy is vital for RNA studies.
- Analyzing complex structures like long non-coding RNA (lncRNA) using methods like single-molecule kinetic analysis of RNA transient structure (SiM-KARTS) presents challenges.
- Optimization of experimental variables for SiM-KARTS on lncRNA is underexplored.
Purpose of the Study:
- To investigate the impact of alternative probe backbone chemistries on SiM-KARTS analysis of lncRNA.
- To establish design principles for applying SiM-KARTS to complex RNA targets.
Main Methods:
- Utilized SiM-KARTS, thermal denaturation, and circular dichroism spectroscopy.
- Analyzed binding behaviors of DNA probes with locked nucleic acid (LNA) and morpholino backbones.
- Employed a model lncRNA segment to control target sequence accessibility.
Main Results:
- Optimized probe backbone chemistry enables precise distinction between RNA structures and fine-tunes binding stability.
- Locked nucleic acid (LNA) probes demonstrated high sensitivity to RNA structure in binding and unbinding kinetics.
- Holistic analysis of binding and unbinding rates using LNA probes allowed accurate classification of different RNA structures.
Conclusions:
- Probe backbone chemistry is a critical variable for optimizing SiM-KARTS analysis of lncRNA.
- LNA probes provide a robust tool for high-accuracy structural classification of complex RNAs.
- This study offers design guidelines for extending SiM-KARTS to challenging RNA targets like lncRNA.
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