Intracellular processing of DNA-lipid nanoparticles: A quantitative assessment by image segmentation
Carriers for efficient delivery of nucleic acids, such as lipid nanoparticles (LNPs), have gained much attention for gene therapy applications. Intracellular processing of such nanocarriers is a complex mechanism comprising cellular internalization by endocytosis pathways, endosomal release into the cytosol, lysosomal degradation, and recycling. The endosomal escape rates of current formulations are considered low, and methods to reliably quantify endocytic events are not readily available. To address this shortcoming and to support the optimization of LNP formulations, the current study presents an automated live-cell imaging-based analysis method. Engineered HuH7 hepatic cell lines overexpressing fluorescent Galectin and Rab reporters together with lysosomal co-staining enabled qualitative and quantitative tracking of DNA-loaded LNPs. The use of two fluorescently labeled DNA-LNP formulations containing either SM-102 or ALC-0315 ionizable lipids revealed significant differences in endosomal escape rates and intracellular processing. Upon treatment, only subpopulations of the HuH7 target cells could be activated with respect to escape or recycling. Recycling inhibitors were therefore used to promote endosomal escape. These findings provide valuable insights into the timing and regulation of endocytic events, which will be instrumental to optimize therapeutic LNP formulations.
Authors
- Samuel Waldner (ORCID: https://orcid.org/0000-0003-0111-6761)
- Jarosław Sędzicki (ORCID: https://orcid.org/0000-0002-0194-2249)
- Alessandra Cavegn (ORCID: https://orcid.org/0009-0000-8204-5621)
- Michael Zogg
- Claudia Lotter
- Evrim Ümit Kuzucu (ORCID: https://orcid.org/0000-0002-9200-8354)
- David C. Wang (ORCID: https://orcid.org/0009-0009-1580-5403)
- Jörg Huwyler
Institutions
- University of Basel (CH)
Publication Details
- Journal
- Journal of Controlled Release
- Published
- 2025-04-12
- DOI
- https://doi.org/10.1016/j.jconrel.2025.113709
- Citations
- 4
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 6.54
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Phospholipid Research Center