Protein Corona Inhibits Endosomal Escape of Functionalized DNA Nanostructures in Living Cells
biomedical applications
0301 basic medicine
endolysosomal escape
Biochemistry
therapeutic agents
biological response
dn biological activity
DNA nanotechnology
protein corona determines
functionalized dns
nanotechnology
programmable manner
study offers
cell size
increasingly used
biological liquids
well established
linearly dependent
Medicine
Protein Corona
functionalized dna nanostructures
living cells
Biotechnology
Chemical Sciences not elsewhere classified
analysis indicates
Biophysics
612
Endosomes
Inorganic Chemistry
important basis
03 medical and health sciences
protein corona
Cell Line, Tumor
Genetics
various biomedical applications
Humans
turn modulates
Pharmacology
future optimization
limited studies
endosome escape peptide
nanomaterials become covered
cellular uptake
Cell Biology
DNA
Nanostructures
Nucleic Acid Conformation
bionano interactions
Adsorption
Lysosomes
Developmental Biology
Antimicrobial Cationic Peptides
DOI:
10.1021/acsami.1c14401
Publication Date:
2021-09-27T22:06:35Z
AUTHORS (13)
ABSTRACT
DNA nanostructures (DNs) can be designed in a controlled and programmable manner, and these structures are increasingly used in a variety of biomedical applications, such as the delivery of therapeutic agents. When exposed to biological liquids, most nanomaterials become covered by a protein corona, which in turn modulates their cellular uptake and the biological response they elicit. However, the interplay between living cells and designed DNs are still not well established. Namely, there are very limited studies that assess protein corona impact on DN biological activity. Here, we analyzed the uptake of functionalized DNs in three distinct hepatic cell lines. Our analysis indicates that cellular uptake is linearly dependent on the cell size. Further, we show that the protein corona determines the endolysosomal vesicle escape efficiency of DNs coated with an endosome escape peptide. Our study offers an important basis for future optimization of DNs as delivery systems for various biomedical applications.
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CITATIONS (34)
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