A Kinetic Model of Oligonucleotide–Brush Interactions for the Rational Design of Gene Delivery Vectors
Author(s) -
Fengjin Qu,
Danyang Li,
Xiaoyan Ma,
Fang Chen,
Julien E. Gautrot
Publication year - 2019
Publication title -
biomacromolecules
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.689
H-Index - 220
eISSN - 1526-4602
pISSN - 1525-7797
DOI - 10.1021/acs.biomac.9b00155
Subject(s) - oligonucleotide , gene delivery , biophysics , chemistry , rna , dna , kinetics , polymer , cationic polymerization , rational design , transfection , monomer , materials science , nanotechnology , polymer chemistry , biochemistry , organic chemistry , biology , gene , physics , quantum mechanics
Polymer brushes are attractive candidates for the design of gene delivery vectors as they allow the systematic study of the impact of structural (type, size, and shape of nanomaterials core) and physicochemical parameters (cationic monomer chemistry, brush thickness, and grafting density) on transfection efficiency. However, relatively little is known of their interactions of oligonucleotides. To study such interactions, we use surface plasmon resonance and developed a kinetic model of brush binding and infiltration. We identify the striking impact that brush grafting density and thickness have on oligonucleotide kinetics of infiltration, binding affinity, and maximum loading. Surprisingly, double-stranded RNA molecules are found to load at significantly higher levels compared to DNA molecules of identical sequence (apart from uracils/thymines). Furthermore, analysis of the kinetics of adsorption of these oligonucleotides indicates that the stoichiometry of binding (ratio of amine versus phosphate residues) is close to parity for the uptake of 20 bp double-stranded RNA. Finally, nanoparticles were designed to be used as gene transfection vectors and to quantify if the brush grafting density and thickness significantly impact transfection efficiencies in a small interfering RNA knockdown assay. Therefore, this study demonstrates the rational design of polymer brush-based nanoparticle vectors for efficient delivery of oligonucleotides. The model developed will allow to uncover how the refinement of the physicochemical and structural properties of polymer brushes enable the tuning of RNA binding and allow the systematic study of cationic vectors efficiency for RNA delivery.
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