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Single-Particle Spectroscopic Chromatography Reveals Heterogeneous RNA Loading and Size Correlations in Lipid Nanoparticles.
Li, Sixuan; Hu, Yizong; Lin, Jinghan; Schneiderman, Zachary; Shao, Fangchi; Wei, Lai; Li, Andrew; Hsieh, Kuangwen; Kokkoli, Efrosini; Curk, Tine; Mao, Hai-Quan; Wang, Tza-Huei.
Afiliação
  • Li S; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21218, United States.
  • Hu Y; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
  • Lin J; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21218, United States.
  • Schneiderman Z; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.
  • Shao F; Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.
  • Wei L; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21218, United States.
  • Li A; Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.
  • Hsieh K; Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
  • Kokkoli E; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21218, United States.
  • Curk T; Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
  • Mao HQ; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.
  • Wang TH; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
ACS Nano ; 18(24): 15729-15743, 2024 Jun 18.
Article em En | MEDLINE | ID: mdl-38839059
ABSTRACT
Lipid nanoparticles (LNP) have emerged as pivotal delivery vehicles for RNA therapeutics. Previous research and development usually assumed that LNPs are homogeneous in population, loading density, and composition. Such perspectives are difficult to examine due to the lack of suitable tools to characterize these physicochemical properties at the single-nanoparticle level. Here, we report an integrated spectroscopy-chromatography approach as a generalizable strategy to dissect the complexities of multicomponent LNP assembly. Our platform couples cylindrical illumination confocal spectroscopy (CICS) with single-nanoparticle free solution hydrodynamic separation (SN-FSHS) to simultaneously profile population identity, hydrodynamic size, RNA loading levels, and distributions of helper lipid and PEGylated lipid of LNPs at the single-particle level and in a high-throughput manner. Using a benchmark siRNA LNP formulation, we demonstrate the capability of this platform by distinguishing seven distinct LNP populations, quantitatively characterizing size distribution and RNA loading level in wide ranges, and more importantly, resolving composition-size correlations. This SN-FSHS-CICS analysis provides critical insights into a substantial degree of heterogeneity in the packing density of RNA in LNPs and size-dependent loading-size correlations, explained by kinetics-driven assembly mechanisms of RNA LNPs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tamanho da Partícula / Nanopartículas / Lipídeos Idioma: En Revista: ACS Nano Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tamanho da Partícula / Nanopartículas / Lipídeos Idioma: En Revista: ACS Nano Ano de publicação: 2024 Tipo de documento: Article