Journal
ACS NANO
Volume 4, Issue 10, Pages 6235-6243Publisher
AMER CHEMICAL SOC
DOI: 10.1021/nn101908e
Keywords
supramolecular nanoparticle; gene delivery; digital microreactor; combinatorial library; cyclodextrin; molecular recognition
Categories
Funding
- NIH-NCI NanoSystems Biology Cancer Center [U54CA119347, EB008419-01]
- California Institute of Regenerative Medicine [RT1-01022-1]
- NATIONAL CANCER INSTITUTE [U54CA119347] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [R21EB008419] Funding Source: NIH RePORTER
Ask authors/readers for more resources
Nanoparticles are regarded as promising transfection reagents for effective and safe delivery of nucleic acids into a specific type of cells or tissues providing an alternative manipulation/therapy strategy to viral gene delivery. However, the current process of searching novel delivery materials is limited due to conventional low-throughput and time-consuming multistep synthetic approaches. Additionally, conventional approaches are frequently accompanied with unpredictability and continual optimization refinements, impeding flexible generation of material diversity creating a major obstacle to achieving high transfection performance. Here we have demonstrated a rapid developmental pathway toward highly efficient gene delivery systems by leveraging the powers of a supramolecular synthetic approach and a custom-designed digital microreactor. Using the digital microreactor, broad structural/functional diversity can be programmed into a library of DNA-encapsulated supramolecular nanoparticles (DNA subset of SNPs) by systematically altering the mixing ratios of molecular building blocks and a DNA plasmid. In vitro transfection studies with DNA subset of SNPs library identified the DNA subset of SNPs with the highest gene transfection efficiency, which can be attributed to cooperative effects of structures and surface chemistry of DNA subset of SNPs. We envision such a rapid developmental pathway can be adopted for generating nanoparticle-based vectors for delivery of a variety of loads.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available