Quantifying Intracellular Nanoparticle Distributions with Three-Dimensional Super-Resolution Microscopy.

Autor: Sheth V; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Chen X; School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Mettenbrink EM; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Yang W; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Jones MA; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., M'Saad O; Department of Cell Biology, Yale School of Medicine, New Haven, Connecticut 06510, United States.; Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06520, United States.; Panluminate, Inc. New Haven, Connecticut 06516, United States., Thomas AG; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Newport RS; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Francek E; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Wang L; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Frickenstein AN; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Donahue ND; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Holden A; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Mjema NF; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States., Green DE; Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73126, United States., DeAngelis PL; Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73126, United States., Bewersdorf J; Department of Cell Biology, Yale School of Medicine, New Haven, Connecticut 06510, United States.; Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06520, United States.; Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, Connecticut 06510, United States.; Department of Physics, Yale University, New Haven, Connecticut 06511, United States., Wilhelm S; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.; Institute for Biomedical Engineering, Science, and Technology (IBEST), Norman, Oklahoma 73019, United States.; Stephenson Cancer Center, Oklahoma City, Oklahoma 73104, United States.
Jazyk: angličtina
Zdroj: ACS nano [ACS Nano] 2023 May 09; Vol. 17 (9), pp. 8376-8392. Date of Electronic Publication: 2023 Apr 18.
DOI: 10.1021/acsnano.2c12808
Abstrakt: Super-resolution microscopy can transform our understanding of nanoparticle-cell interactions. Here, we established a super-resolution imaging technology to visualize nanoparticle distributions inside mammalian cells. The cells were exposed to metallic nanoparticles and then embedded within different swellable hydrogels to enable quantitative three-dimensional (3D) imaging approaching electron-microscopy-like resolution using a standard light microscope. By exploiting the nanoparticles' light scattering properties, we demonstrated quantitative label-free imaging of intracellular nanoparticles with ultrastructural context. We confirmed the compatibility of two expansion microscopy protocols, protein retention and pan-expansion microscopy, with nanoparticle uptake studies. We validated relative differences between nanoparticle cellular accumulation for various surface modifications using mass spectrometry and determined the intracellular nanoparticle spatial distribution in 3D for entire single cells. This super-resolution imaging platform technology may be broadly used to understand the nanoparticle intracellular fate in fundamental and applied studies to potentially inform the engineering of safer and more effective nanomedicines.
Databáze: MEDLINE