ArticleAdvanced functional materials2025
High-Resolution Characterization of Protein-Conjugated, mRNA-Loaded Lipid Nanoparticles by Analytical Ultracentrifugation.
Article in Advanced functional materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Analytical Ultracentrifugation in Aotearoa: A Brief History of the Technique and its Place Among Other Tools Used to Investigate Biomolecular Interactions.Journal of the Royal Society of New Zealand · 2026Review
- Analytical Ultracentrifugation for Biopharmaceutical Characterization and Quality Control.International journal of molecular sciences · 2026Review
- Analytical Ultracentrifugation in Different High-Density Media Allows to Assess Heterogeneity of mRNA-Lipid Nanoparticles.Small methods · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The study describes a novel use for the Custom Grid (CG) algorithm in UltraScan targeting lipid nanoparticles (LNPs) with cargos ranging from empty LNPs, LNPs loaded with messenger RNA (mRNA), and LNPs conjugated with proteins, or both. The CG method is used to fit sedimentation velocity analytical ultracentrifugation experiments performed in density matching mode to derive partial specific volume, molar mass, and hydrodynamic radius distributions for LNPs. Because LNP cargos often differ in density from the encapsulating lipids, density (or partial specific volume) is a critical quality attribute to quantify LNP composition and cargo loading. It is shown that the CG approach, in combination with D
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Registered trials
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