Issue 35, 2020

Targeting DNA to the endoplasmic reticulum efficiently enhances gene delivery and therapy

Abstract

Gene therapy mediated by non-viral carriers is gaining an increasing popularity due to its high biosafety and the convenience of production on a large scale, yet inefficient gene delivery is a limiting obstacle. Few gene vectors can avoid the endosome–lysosome route, and as a result, their DNA payloads are easily decomposed during transfection. Herein, a peptide (pardaxin, PAR)-modified cationic liposome (PAR-Lipo) targeting the endoplasmic reticulum (ER) was developed for improving the gene delivery efficiency. Interestingly, compared to non-PAR-modified cationic liposomes (Non-Lipos) and Lipofectamine 2000 (Lipo 2000, a commercial genetic vector), PAR-Lipos showed remarkably higher gene delivery efficiency in vitro and better antitumor efficacy in vivo. It was demonstrated that PAR-Lipos could be accumulated into the ER via a non-lysosome intracellular route after cellular internalization, which induced the retention of the DNA payload in the ER close to the nucleus, while Non-Lipos, like most conventional cationic carriers, mainly presented lysosomal retention after their endocytosis. The unique intracellular transport behavior of PAR-Lipos can enhance the protection of the DNA payload, prolong their residence time in the cell, and promote their entry into the nucleus relying on the intimate relationship between the ER and nuclear membrane, which is the explanation for the enhanced gene-therapy effect mediated by PAR-Lipos. Our research may provide alternative means of efficiently delivering genes in cells.

Graphical abstract: Targeting DNA to the endoplasmic reticulum efficiently enhances gene delivery and therapy

Supplementary files

Article information

Article type
Paper
Submitted
22 Apr 2020
Accepted
04 Aug 2020
First published
07 Aug 2020

Nanoscale, 2020,12, 18249-18262

Targeting DNA to the endoplasmic reticulum efficiently enhances gene delivery and therapy

B. Qin, X. Yuan, M. Jiang, H. Yin, Z. Luo, J. Zhang, C. Zhu, X. Li, Y. Shi, L. Luo, Y. Du and J. You, Nanoscale, 2020, 12, 18249 DOI: 10.1039/D0NR03156A

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