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Published on: October 1, 2019
Colloidal Polymeric Platform for Facile Click-Assisted Ligand Functionalization and Receptor Targeting
Ruhani Singh1, Diwei Ho1, Lee Yong Lim1
1School of Chemistry and Biochemistry, M310, School of Medicine and Pharmacology, M315, and School of Animal Biology, M092, The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia.
Colloidal nanoparticles made from poly(glycidyl methacrylate) enable targeted drug delivery using click chemistry. These folate receptor-targeted nanoparticles show selective targeting of ovarian cancer cells in vitro.
Area of Science:
- Biomaterials Science
- Nanotechnology
- Chemical Biology
Background:
- Nanoparticles offer versatile platforms for drug delivery and diagnostics.
- Surface functionalization is crucial for targeted delivery of nanoparticles.
- Click chemistry provides an efficient method for nanoparticle surface modification.
Purpose of the Study:
- To develop poly(glycidyl methacrylate) nanoparticles as platforms for "click" chemistry surface functionalization.
- To synthesize and characterize folate receptor-targeted nanoparticles.
- To evaluate the in vitro selective targeting of ovarian cancer cells by these functionalized nanoparticles.
Main Methods:
- Synthesis of colloidal poly(glycidyl methacrylate) nanoparticles.
- Surface functionalization using "click" chemistry.
- Physicochemical characterization of nanoparticles.
- In vitro biocompatibility and cell targeting assays using ovarian cancer cells.
Main Results:
- Successfully synthesized poly(glycidyl methacrylate) nanoparticles.
- Demonstrated efficient surface functionalization via click chemistry.
- Confirmed nanoparticle biocompatibility.
- Validated selective targeting of folate receptor-positive ovarian cancer cells in vitro.
Conclusions:
- Colloidal poly(glycidyl methacrylate) nanoparticles are effective platforms for click chemistry-based surface functionalization.
- Folate receptor-targeted nanoparticles exhibit selective binding to ovarian cancer cells.
- This approach holds promise for targeted ovarian cancer therapy.
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