journal article·2026-01-13

Single-Particle Multiparametric Microscopy Reveals Structural, Size, and Payload Heterogeneity in mRNA-Loaded Lipid Nanoparticles

Albert Kamanzi, Ariadne Tuckmantel Bido, Yao Zhang, Erik Olsén, Maya Stibbards-Lyle, Martin Jasinski, Yifei Gu, Benjamin Wang, Michael Venier-Karzis, Romain Berti, Michelle Jeliazkova, Cynthia Shaheen, Jerry Leung, Miffy Hok Yan Cheng, Pieter R. Cullis, Sabrina Leslie

ACS Nano· Volume 20· Issue 1
Publisher page

Abstract

Deciphering the heterogeneity of mRNA-containing lipid nanoparticles (LNPs) is essential for understanding the relationship between their microscopic properties and therapeutic function. Here, by combining alternating laser excitation (ALEX) with convex lens-induced confinement (CLiC) microscopy, we simultaneously measure size, multicolor fluorescence, mRNA payload, and Förster resonance energy transfer (FRET) of individual suspended LNPs containing labeled lipid and mRNA molecules. By varying formulation parameters, including ionizable lipids, formulation buffers, and molecular ratios, we investigated and correlated key microscopic properties for relevant vaccine formulations. While per-particle lipid fluorescence was lower for empty versus mRNA-loaded particles for all formulations, the relative size of empty versus mRNA-loaded particles depended upon the formulation and intraparticle structure. When comparing CLiC-ALEX to cryogenic transmission electron microscopy measurements (Cryo-TEM), for the LNP formulations with a major subpopulation of bleb-LNPs, the subpopulation of bleb-LNPs appears to overlap with the subpopulation of mRNA-containing LNPs. CLiC-ALEX also enabled quantification of per-particle mRNA fluorescence and FRET signals, thereby revealing heterogeneity in the mRNA copy number and mRNA-LNP structural arrangements; where the results were compared with biophysical estimates based on the LNP formulations. These rigorous biophysical insights are critical to inform our understanding of structure-activity relationships and inform the rational design of nanomedicines.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: RNA Interference and Gene Delivery · Lipid Membrane Structure and Behavior · Advanced Fluorescence Microscopy Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Michael Smith Laboratories

University of British Columbia

Department of Physics and Astronomy

ScopeSys, Inc., 2366 Main Mall, Vancouver, BC V6T 1Z4, Canada

School of Biomedical Engineering

Department of Biochemistry and Molecular Biology

Department of Physics

University of Gothenburg

Faculty of Pharmaceutical Sciences

Funding

Canadian Institutes of Health Research · Vetenskapsr?det · Canada Foundation for Innovation · Killam Trusts · NanoMedicines Innovation Network · Natural Sciences and Engineering Research Council of Canada · British Columbia Knowledge Development Fund · Mitacs · Michael Smith Laboratories, University of British Columbia · Pacific Economic Development Canada · Faculty of Science, Department of Physics and Astronomy, University of British Columbia

References (33)

Show source-provided references
1. 10.1038/s41573-024-00977-610.1038/s41573-024-00977-6 ↗
2. 10.1056/NEJMoa203457710.1056/NEJMoa2034577 ↗
3. 10.1056/NEJMoa203538910.1056/NEJMoa2035389 ↗
4. 10.1038/s41565-020-0669-610.1038/s41565-020-0669-6 ↗
5. 10.1002/adma.20230337010.1002/adma.202303370 ↗
6. 10.1021/acsnano.5c0980010.1021/acsnano.5c09800 ↗
7. 10.1016/j.omtm.2025.10151810.1016/j.omtm.2025.101518 ↗
8. 10.1038/s41467-025-58523-w10.1038/s41467-025-58523-w ↗
9. 10.1016/j.jconrel.2024.07.04610.1016/j.jconrel.2024.07.046 ↗
10. 10.1021/acs.langmuir.0c0303910.1021/acs.langmuir.0c03039 ↗
11. 10.1016/j.ijpharm.2021.12058610.1016/j.ijpharm.2021.120586 ↗
12. 10.1038/s41467-022-33157-410.1038/s41467-022-33157-4 ↗
13. 10.1021/acsnano.4c0234110.1021/acsnano.4c02341 ↗
14. 10.1021/acsnano.4c0451910.1021/acsnano.4c04519 ↗
15. 10.1073/pnas.242660112210.1073/pnas.2426601122 ↗
16. 10.1021/acs.nanolett.5c0223210.1021/acs.nanolett.5c02232 ↗
17. 10.1038/s41587-023-01825-510.1038/s41587-023-01825-5 ↗
18. 10.1021/acsnano.1c0486210.1021/acsnano.1c04862 ↗
19. 10.1038/s41467-025-60959-z10.1038/s41467-025-60959-z ↗
20. Lakowicz J. R. · 200610.1007/978-0-387-46312-4 ↗
21. 10.1021/acsnano.3c1298110.1021/acsnano.3c12981 ↗
22. 10.1016/j.bios.2024.11606510.1016/j.bios.2024.116065 ↗
23. 10.1021/jacs.4c1830810.1021/jacs.4c18308 ↗
24. 10.1016/j.physa.2006.11.00810.1016/j.physa.2006.11.008 ↗
25. 10.1103/PhysRevE.82.04191410.1103/PhysRevE.82.041914 ↗
26. 10.1103/PhysRevE.62.390910.1103/PhysRevE.62.3909 ↗
27. 10.1073/pnas.231049112010.1073/pnas.2310491120 ↗
28. 10.1021/acsnano.4c1409810.1021/acsnano.4c14098 ↗
29. 10.1039/D4TB02653E10.1039/D4TB02653E ↗
30. Leslie, S. R.; Michaud, F.; Berard, D. J.; Henkin, G.; Kamanzi, A. Nanofluidic flow cell and method of loading same . 2023; https://patents.google.com/patent/US11850595B2/en, US Patent 11,850,595.
31. 10.1021/ac101041s10.1021/ac101041s ↗
32. 10.1016/j.cobme.2019.10.00410.1016/j.cobme.2019.10.004 ↗
33. Happel J. · 1983 · 110.1007/978-94-009-8352-6 ↗