ArticleNature biotechnology2026
Elucidating lipid nanoparticle properties and structure through biophysical analyses.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Human T cell engineering via serial delivery of mRNA encapsulated within lipid nanoparticles.Molecular therapy. Nucleic acids · 2026Article
- Bioengineering strategies for improving the immunogenicity of mRNA vaccines.Signal transduction and targeted therapy · 2026Review
- Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution-Based Biophysical Analyses.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Lipid Nanoparticle Co-Delivery of mRNA and a Small Molecule Drug for Oral Cancer Chemoimmunotherapy.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Molecular Dynamics-Guided Sterol Engineering of mRNA-Lipid Nanoparticles Reprograms Biodistribution and Enhances Spleen-Selective Immunity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Analytical Ultracentrifugation for Biopharmaceutical Characterization and Quality Control.International journal of molecular sciences · 2026Review
- Storage Buffer Composition Impacts Internal Structure, Freeze-Thaw Stability, and Transfection Efficiency of mRNA-Lipid Nanoparticles.ACS nano · 2026Article
- A Time-Resolved In Situ SAXS Method for Real-Time Monitoring of Lipid Nanoparticles Assembly.Membranes · 2026Article
- Effects of different mixing techniques on mRNA lipid nanoparticle physicochemistry and biological performance.Nature communications · 2026Article
- Resolving heterogeneity of targeted lipid nanoparticles through solution-based biophysical analyses.bioRxiv : the preprint server for biology · 2026Article
- Protocol to annotate dendritic cell maturation types in vivo making use of lipid nanoparticle-based approaches.STAR protocols · 2026Article
- Lipid Nanoparticle Development in Practice: Challenges and Collective Insights.Pharmaceutical research · 2026Review
- Structural heterogeneity in mRNA-LNP subpopulations revealed by AF4-SAXS: implications for cargo loading and cell transfection.bioRxiv : the preprint server for biology · 2026Article
- Advancements in CRISPR-basedFrontiers in genome editing · 2026Review
- Drug Product Development of Lipid Nanoparticle-Based mRNA Therapeutics and Vaccines.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
- Erratum issued
- Update of
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Designing lipid nanoparticle (LNP) delivery systems with specific targeting, potency and minimal side effects is crucial for their clinical use. However, traditional characterization methods, such as dynamic light scattering, cannot accurately quantify physicochemical properties of LNPs and how these are influenced by the lipid composition and mixing method. Here, we structurally characterize polydisperse LNP formulations by applying emerging solution-based biophysical methods that have higher resolution and provide biophysical data beyond size and polydispersity. These techniques include sedimentation velocity analytical ultracentrifugation, field-flow fractionation followed by multiangle light scattering and size-exclusion chromatography in line with synchrotron small-angle X-ray scattering. We show that LNPs have intrinsic polydispersity in size, RNA loading and shape, which depend on both the formulation technique and the lipid composition. Lastly, we predict LNP transfection in vitro and in vivo by examining the relationship between mRNA translation and physicochemical characteristics. Solution-based biophysical methods will be essential for determining LNP structure-function relationships, facilitating the creation of new design rules for LNPs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.