Lipid Nanoparticle Biodistribution and Protein Corona Data for PEG-Lipid Anchor Analysis

A dataset from a 2026 study investigating how polyethylene glycol (PEG) lipid anchors affect lipid nanoparticle (LNP) properties and behavior. The data, published by Chuan-En Lu on figshare, includes results from in vivo biodistribution in mice, mass spectrometry-based proteomics of the protein corona, single-particle biophysical analysis, and in vitro cellular assays. It contains structure-activity relationships for rational LNP design.

Use Cases

• Modeling LNP biodistribution to organs like the liver, spleen, bone marrow, and lung based on PEG-lipid anchor chemistry.
• Analyzing protein corona composition based on mass spectrometry proteomics data.
• Correlating LNP biophysical characteristics from single-particle analysis with in vitro cellular uptake and cargo delivery.
• Investigating the impact of PEG-lipid anchor desorption rates ('shedding') on nanoparticle function.

Strengths

• Data includes results from four distinct experimental methods: in vivo biodistribution, proteomics, single-particle analysis, and in vitro assays.
• Dataset is structured for investigating the impact of multiple PEG-lipid anchor variables, including acyl chain length and headgroup chemistry.
• Published under a CC-BY-NC-4.0 license, allowing for clear non-commercial reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect experimental bias inherent to the specific mouse model and in vitro systems used.

Provenance

Source

Chuan-En Lu via figshare.

Collection Method

Experimental data from nanoparticle formulation, animal studies, mass spectrometry, and cellular assays.

Freshness

Last updated 2026-03-18 05:08:06