Nanocarrier imaging at single-cell resolution across entire mouse bodies with deep learning
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Efficient and accurate nanocarrier development for targeted drug delivery is hindered by a lack of methods to analyze its cell-level biodistribution across whole organisms. Here we present Single Cell Precision Nanocarrier Identification (SCP-Nano), an integrated experimental and deep learning pipeline to comprehensively quantify the targeting of nanocarriers throughout the whole mouse body at single-cell resolution. SCP-Nano reveals the tissue distribution patterns of lipid nanoparticles (LNPs) after different injection routes at doses as low as 0.0005 mg kg−1—far below the detection limits of conventional whole body imaging techniques. We demonstrate that intramuscularly injected LNPs carrying SARS-CoV-2 spike mRNA reach heart tissue, leading to proteome changes, suggesting immune activation and blood vessel damage. SCP-Nano generalizes to various types of nanocarriers, including liposomes, polyplexes, DNA origami and adeno-associated viruses (AAVs), revealing that an AAV2 variant transduces adipocytes throughout the body. SCP-Nano enables comprehensive three-dimensional mapping of nanocarrier distribution throughout mouse bodies with high sensitivity and should accelerate the development of precise and safe nanocarrier-based therapeutics.
Details
| Original language | English |
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| Pages (from-to) | 2009-2022 |
| Number of pages | 14 |
| Journal | Nature biotechnology |
| Volume | 43 |
| Issue number | 12 |
| Publication status | Published - Dec 2025 |
| Peer-reviewed | Yes |
External IDs
| PubMed | 39809933 |
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