Nanocarrier imaging at single-cell resolution across entire mouse bodies with deep learning

Jie Luo(Helmholtz Zentrum München), Müge Molbay(Helmholtz Zentrum München), Ying Chen(Helmholtz Zentrum München), Izabela Horvath(Helmholtz Zentrum München), Karoline Kadletz(Helmholtz Zentrum München), Benjamin Kick(Technical University of Munich), Shan Zhao(University of Zurich), Rami Al-Maskari(Helmholtz Zentrum München), Inderjeet Singh(Helmholtz Zentrum München), Mayar Ali(Helmholtz Zentrum München), Harsharan S. Bhatia(Helmholtz Zentrum München), David‐Paul Minde(Helmholtz Zentrum München), Moritz Negwer(Helmholtz Zentrum München), Luciano Hoeher(Helmholtz Zentrum München), Gian Marco Calandra(Munich Cluster for Systems Neurology), Bernhard Groschup(Munich Cluster for Systems Neurology), Jinpeng Su(Helmholtz Zentrum München), Ceren Kımna(Helmholtz Zentrum München), Zhouyi Rong(Helmholtz Zentrum München), Nikolas F. B. Galensowske(Helmholtz Zentrum München), Mihail Ivilinov Todorov(Helmholtz Zentrum München), Denise Jeridi(Helmholtz Zentrum München), Tzu‐Lun Ohn(Helmholtz Zentrum München), Stefan Roth(Ludwig-Maximilians-Universität München), Alba Simats(Ludwig-Maximilians-Universität München), Vikramjeet Singh(Munich Cluster for Systems Neurology), Igor Khalin(Inserm), Chenchen Pan(Helmholtz Zentrum München), Bernardo A. Arús(German Cancer Research Center), Oliver T. Bruns†(German Cancer Research Center), Reinhard Zeidler(Helmholtz Zentrum München), Arthur Liesz(Munich Cluster for Systems Neurology), Ulrike Protzer(Helmholtz Zentrum München), Nikolaus Plesnila(Munich Cluster for Systems Neurology), Siegfried Ussar(Helmholtz Zentrum München), Farida Hellal(Helmholtz Zentrum München), Johannes C. Paetzold(Helmholtz Zentrum München), Markus Elsner(Helmholtz Zentrum München), Hendrik Dietz(Technical University of Munich), Ali Ertürk(Koç University)
Nature Biotechnology
January 14, 2025
Cited by 31Open Access
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Abstract

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.


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