Development of Polymer-Lipid Hybrid Nanoparticles for Large-Sized Plasmid DNA Transfection.
Masatoshi MaekiShuya UnoKaisei SugiuraYusuke SatoYoichiro FujiokaAkihiko IshidaYusuke OhbaHideyoshi HarashimaManabu TokeshiPublished in: ACS applied materials & interfaces (2023)
RNA and DNA delivery technologies using lipid nanoparticles (LNPs) have advanced significantly, as demonstrated by their successful application in mRNA vaccines. To date, commercially available RNA therapeutics include Onpattro, a 21 bp siRNA, and mRNA vaccines comprising 4300 nucleotides for COVID-19. However, a significant challenge remains in achieving efficient transfection, as the size of the delivered RNA and DNA increases. In contrast to RNA transfection, plasmid DNA (pDNA) transfection requires multiple steps, including cellular uptake, endosomal escape, nuclear translocation, transcription, and translation. The low transfection efficiency of large pDNA is a critical limitation in the development of artificial cells and their cellular functionalization. Here, we introduce polymer-lipid hybrid nanoparticles designed for efficient, large-sized pDNA transfection. We demonstrated that LNPs loaded with positively charged pDNA-polycation core nanoparticles exhibited a 4-fold increase in transfection efficiency for 15 kbp pDNA compared with conventional LNPs, which encapsulate a negatively charged pDNA-polycation core. Based on assessments of the size and internal structure of the polymer-lipid nanoparticles as well as hemolysis and cellular uptake analysis, we propose a strategy to enhance large-sized pDNA transfection using LNPs. This approach holds promise for accelerating the in vivo delivery of large-sized pDNA and advancing the development of artificial cells.
Keyphrases
- circulating tumor
- nucleic acid
- cell free
- single molecule
- induced apoptosis
- escherichia coli
- cell cycle arrest
- coronavirus disease
- fatty acid
- magnetic resonance
- cancer therapy
- drug delivery
- magnetic resonance imaging
- small molecule
- endoplasmic reticulum stress
- computed tomography
- circulating tumor cells
- deep learning
- pi k akt
- signaling pathway
- transition metal