ArticleACS nano2024
Single-Particle Spectroscopic Chromatography Reveals Heterogeneous RNA Loading and Size Correlations in Lipid Nanoparticles.
Article in ACS nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Cytokine co-presentation on targeted lipid nanoparticles enhances in vivo T cell engineering.Biomaterials · 2027Article
- Elucidating lipid nanoparticle properties and structure through biophysical analyses.Nature biotechnology · 2026Article
- Measurement Error Models Enable Accurate Correlation of Nanoscale Properties and Structures.ACS nano · 2026Article
- Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution-Based Biophysical Analyses.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- In-Depth Characterization of PEGylated Liposomes: Using AF4 and HPLC-CAD in Tandem as a Strategy for Composition Assessment and Postinsertion Optimization.Analytical chemistry · 2026Article
- Messenger RNA and guide RNA distributions in lipid nanoparticles impact gene-editing efficiency in vivo.Molecular therapy : the journal of the American Society of Gene Therapy · 2026Article
- Tunable Lipid Coatings Enable Cytoplasmic siRNA Delivery by DNA Origami.ACS applied materials & interfaces · 2026Article
- Resolving heterogeneity of targeted lipid nanoparticles through solution-based biophysical analyses.bioRxiv : the preprint server for biology · 2026Article
- Investigation of Heterogeneity of Lipid Nanoparticles for Nucleic Acid Drug Delivery via Sucrose Gradient Density Centrifugation.International journal of molecular sciences · 2026Article
- Lipid Nanoparticle Development in Practice: Challenges and Collective Insights.Pharmaceutical research · 2026Review
- Controlling Payload Heterogeneity in Lipid Nanoparticles for RNA-Based Therapeutics.Advanced functional materials · 2026Article
- Elucidating lipid nanoparticle properties and structure through biophysical analyses.bioRxiv : the preprint server for biology · 2025Article
- Current and Near-Future Technologies to Quantify Nanoparticle Therapeutic Loading Efficiency and Surface Coating Efficiency with Targeted Moieties.Bioengineering (Basel, Switzerland) · 2025Review
- Transfection Potency of Lipid Nanoparticles Containing mRNA Depends on Relative Loading Levels.ACS applied materials & interfaces · 2025Article
- Drug Product Development of Lipid Nanoparticle-Based mRNA Therapeutics and Vaccines.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
- Engineering Nanoscale Drug Delivery Systems for Pain.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
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.