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Top-Down Characterization of Complete siRNA Complexes by Direct Infusion Nanospray-MSn
Sarah Mutchek1, Vladimir V Papov2, Scott Pennino2
1Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269, United States.
Analytical Chemistry
|June 8, 2026
Summary
This study presents top-down mass spectrometry strategies for characterizing small interfering RNA (siRNA) complexes. By adjusting methods based on siRNA structure, researchers can fully analyze these biotherapeutics efficiently.
Area of Science:
- Mass Spectrometry
- Biochemistry
- Pharmaceutical Analysis
Background:
- Small interfering RNA (siRNA) therapeutics require comprehensive characterization.
- Existing mass spectrometry methods face challenges with complex siRNA structures and modifications.
- Top-down analysis offers a direct approach to characterize intact biotherapeutics.
Purpose of the Study:
- To evaluate top-down mass spectrometry strategies for characterizing complete siRNA complexes.
- To develop methods for analyzing siRNA duplexes and stem-loop structures with N-acetylgalactosamine (GalNAc) modifications.
- To enable sequence and modification site determination without prior hydrolysis or separation.
Main Methods:
- Direct gas-phase activation of intact siRNA complexes.
- Collision-induced dissociation (CID) and in-source activation for fragmentation.
- Use of denaturing agents to destabilize complex structures.
- MS/MS analysis of dissociated strands and backbone fragments.
Main Results:
- Standard CID fragmented GalNAc and nucleobases, hindering sequence analysis.
- In-source activation enabled full sequencing of simple duplexes but not stem-loops.
- Denaturing agents successfully induced destabilization and revealed informative backbone fragments.
- Combined strategies allowed full characterization of siRNA sequences, GalNAc sites, and structures.
Conclusions:
- Top-down mass spectrometry can comprehensively characterize pharmaceutical siRNA forms.
- Strategy selection must be adapted to specific siRNA morphologies (duplex vs. stem-loop).
- This minimalistic approach reduces sample consumption and analysis time, aiding biotherapeutic development.
