High‐Throughput In Vivo Subcellular Analysis of Gold Nanoparticles for Tumor Mitochondrial Targeting
Abstract
ABSTRACT Mitochondrial targeting is a powerful strategy for cancer precision therapy. This study presents a subcellular DNA barcoding system for high‐throughput in vivo screening of mitochondrial‐targeting gold nanoparticles (NPs). After validating the robustness of the barcode system with six PEG/TPP‑modified NPs in vitro, the materials library expands to 30 NP species differing in shape, size, and ligand. Their biodistributions are systematically evaluated across subcutaneous, orthotopic, and contralateral tumor models at organ, cell‐subtype, and mitochondrial levels. This multiplexed approach yields more than 1000 data points on in vivo nanoparticle uptake and targeting behaviors, while requiring 30‐fold fewer mice than conventional approaches. The data reveal a strong correlation between tumor accumulation and mitochondrial delivery, indicating that effective tumor accumulation is a prerequisite for mitochondrial targeting. 80 nm cube (CL‑FA) and sphere (PL‑FA) nanoparticles tagged with folic acid (FA) emerge as top performers, with CL‑FA achieving 99% tumor regression when combined with mild photothermal therapy and mitochondria‐targeted siRNA delivery. Underlying mechanisms are attributed to geometry‐dependent protein corona formation patterns and cellular uptake via clathrin‑mediated endocytosis and specific curvature‑sensing protein interactions. Overall, this subcellular high‐throughput barcoding platform offers a rational framework to select inorganic nanomaterials for precision subcellular drug delivery.
Article Details
Authors (9)
Xingyue Huang
Xuehao Tian
Department of Biomedical Engineering National University of Singapore Singapore Singapore
Kuei Chen
Department of Computer Science National University of Singapore Singapore Singapore
Yang Wu
Hefei National Research Center for Physical Science at Microscale
ChenCheng Xue
Department of Biomedical Engineering National University of Singapore Singapore Singapore
Yingjie Quek
Department of Biomedical Engineering National University of Singapore Singapore Singapore
Jessalyn Low
Department of Biomedical Engineering National University of Singapore Singapore Singapore
Arun Kumar
Andy Tay