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

  • Jie Luo
  • , Muge Molbay
  • , Ying Chen
  • , Izabela Horvath
  • , Karoline Kadletz
  • , Benjamin Kick
  • , Shan Zhao
  • , Rami Al-Maskari
  • , Inderjeet Singh
  • , Mayar Ali
  • , Harsharan Singh Bhatia
  • , David Paul Minde
  • , Moritz Negwer
  • , Luciano Hoeher
  • , Gian Marco Calandra
  • , Bernhard Groschup
  • , Jinpeng Su
  • , Ceren Kimna
  • , Zhouyi Rong
  • , Nikolas Galensowske
  • Mihail Ivilinov Todorov, Denise Jeridi, Tzu Lun Ohn, Stefan Roth, Alba Simats, Vikramjeet Singh, Igor Khalin, Chenchen Pan, Bernardo A. Arús, Oliver T. Bruns, Reinhard Zeidler, Arthur Liesz, Ulrike Protzer, Nikolaus Plesnila, Siegfried Ussar, Farida Hellal, Johannes Paetzold, Markus Elsner, Hendrik Dietz, Ali Erturk
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • Ludwig-Maximilians-Universität München
  • Munich Cluster for Systems Neurology (SyNergy)
  • Deep Piction
  • Munich Medical Research School (MMRS)
  • University of Munich
  • Technical University of Munich
  • University of Zurich
  • ETH Zurich
  • German Centre for Diabetes Research (DZD)
  • Graduate School of Neuroscience (GSN)
  • Institute of Computational Biology
  • German Center for Infection Research (DZIF)
  • Institut Blood and Brain @ Caen-Normandie
  • National Center for Tumor Diseases (NCT/UCC) Dresden
  • German Cancer Research Center
  • Technischen Universität Dresden
  • HelmholtzZentrum Dresden-Rossendorf
  • Imperial College London
  • Koc University School of Medicine

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

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.

Original languageEnglish
Pages (from-to)2009-2022
Number of pages14
JournalNature Biotechnology
Volume43
Issue number12
DOIs
StatePublished - Dec 2025

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