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siRMSD: A Structural Parameter to Reduce Sequence-Dependent Off-Target Effects for siRNA Design with Chemical
Seongjin An1,2, Kumiko Ui-Tei3,4,5
1Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Methods in Molecular Biology (Clifton, N.J.)
|August 28, 2025
Summary
Chemical modifications in small interfering RNAs (siRNAs) can cause structural changes. A new metric, siRMSD, correlates these structural deviations with reduced off-target effects, aiding in designing safer RNA interference therapeutics.
Area of Science:
- Biochemistry
- Molecular Biology
- Pharmacology
Background:
- RNA interference (RNAi) utilizes small interfering RNAs (siRNAs) for gene expression regulation.
- Chemical modifications enhance siRNA stability and reduce immunogenicity but can cause off-target effects.
- Off-target effects arise from unintended interactions between the siRNA seed region and non-target mRNAs.
Purpose of the Study:
- Introduce a novel parameter, small interfering RNA root-mean-square deviation (siRMSD), to quantify structural distortions in chemically modified siRNAs.
- Establish a correlation between structural deviations and the reduction of siRNA off-target effects.
- Provide a predictive framework for rational siRNA design to minimize off-target interactions.
Main Methods:
- Quantification of structural distortions in siRNAs using the siRMSD parameter.
- Analysis of the correlation between siRMSD values and observed off-target effects.
- Evaluation of position-dependent effects of chemical modifications on siRNA structure and function.
Main Results:
- Demonstrated a strong correlation between deviations from the canonical A-form RNA structure and reduced siRNA off-target effects.
- Identified siRMSD as a reliable indicator of structural integrity and functional impact of siRNA modifications.
- Elucidated the critical role of chemical modification placement in influencing off-target interactions.
Conclusions:
- siRMSD offers a predictive framework for designing chemically modified siRNAs with minimized off-target effects.
- This approach advances the development of more precise and effective RNAi-based therapeutics.
- Understanding structural distortions is key to optimizing siRNA design for therapeutic applications.
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