ArticleACS nano2024
Enhanced Prostate-specific Membrane Antigen Targeting by Precision Control of DNA Scaffolded Nanoparticle Ligand Presentation.
Article in ACS nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Visualizing Metabolism: Lipid-Based Raman Nanoreporters as an Enabling Platform for Metabolic Imaging and Precision Medicine.ACS nano medicine · 2026Review
- Beyond Exosomes: Biological Properties, Isolation Challenges, and Functional Redefinition of Non-Vesicular Extracellular Nanoparticles (NVEPs).Biomolecules · 2026Review
- Electrosprayed PLGA Nanoparticles for Dual Drug Delivery: Design, Optimization and Applications.Polymers · 2026Review
- Dual-receptor targeting of type I dendritic cells with DNA-scaffolded nanoparticles enhances STING-licensed antitumor immunity.Science advances · 2026Article
- Ligand-modified multifunctional liposome-based targeted delivery platform: a multimodal cancer combination therapy strategy.Theranostics · 2026Review
- Theranostic Nanoparticles in Prostate Cancer: Disrupting Hypoxia-Induced Glycolysis by Targeting Hypoxia-Inducible Factor-1 Alpha and Downstream Metabolites.Cancer medicine · 2026Review
- Novel Strategies for Precision Diagnosis and Treatment of Prostate Cancer Based on Multifunctional Nanocarrier Systems.International journal of nanomedicine · 2026Review
- PLGA nanoparticles loaded with recombinant antimicrobial protein PIP significantly improves the survival state and pathological damage caused by ETEC O8-induced sepsis in mice.Frontiers in veterinary science · 2026Article
- Nanoparticle-based drug delivery systems in urologic oncology: From targeted therapy to precision theranostics.Materials today. Bio · 2025Review
- Enhanced NIR-II Nanoparticle Probe for PSMA-Targeted Molecular Imaging and Prostate Cancer Diagnosis.International journal of nanomedicine · 2025Article
- Progress in antibacterial applications of nanozymes.Frontiers in chemistry · 2024Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Targeted nanoparticles have been extensively explored for their ability to deliver their payload to a selective cell population while reducing off-target side effects. The design of actively targeted nanoparticles requires the grafting of a ligand that specifically binds to a highly expressed receptor on the surface of the targeted cell population. Optimizing the interactions between the targeting ligand and the receptor can maximize the cellular uptake of the nanoparticles and subsequently improve their activity. Here, we evaluated how the density and presentation of the targeting ligands dictate the cellular uptake of nanoparticles. To do so, we used a DNA-scaffolded PLGA nanoparticle system to achieve efficient and tunable ligand conjugation. A prostate-specific membrane antigen (PSMA) expressing a prostate cancer cell line was used as a model. The density and presentation of PSMA targeting ligand ACUPA were precisely tuned on the DNA-scaffolded nanoparticle surface, and their impact on cellular uptake was evaluated. It was found that matching the ligand density with the cell receptor density achieved the maximum cellular uptake and specificity. Furthermore, DNA hybridization-mediated targeting chain rigidity of the DNA-scaffolded nanoparticle offered ∼3 times higher cellular uptake compared to the ACUPA-terminated PLGA nanoparticle. Our findings also indicated a ∼ 3.7-fold reduction in the cellular uptake for the DNA hybridization of the non-targeting chain. We showed that nanoparticle uptake is energy-dependent and follows a clathrin-mediated pathway. Finally, we validated the preferential tumor targeting of the nanoparticles in a bilateral tumor xenograft model. Our results provide a rational guideline for designing actively targeted nanoparticles and highlight the application of DNA-scaffolded nanoparticles as an efficient active targeting platform.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.