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Cited by 267

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

A DNA-Based Nanocarrier for Efficient Gene Delivery and Combined Cancer Therapy

Liu, Jianbing, Song, Linlin, Liu, Shaoli, Jiang, Qiao, Liu, Qing, Li, Na, Wang, Zhen-Gang, Ding, Baoquan·2018·Nano Letters

Abstract

The efficient delivery of a therapeutic gene into target tissues has remained a major obstacle in realizing a viable gene-based medicine. Herein, we introduce a facile and universal strategy to construct a DNA nanostructure-based codelivery system containing a linear tumor therapeutic gene (p53) and a chemotherapeutic drug (doxorubicin, DOX) for combined therapy of multidrug resistant tumor (MCF-7R). This novel codelivery system, which is structurally similar to a kite, is rationally designed to contain multiple functional groups for the targeted delivery and controlled release of the therapeutic cargoes. The self-assembled DNA nanokite achieves efficient gene delivery and exhibits effective inhibition of tumor growth in vitro and in vivo without apparent systemic toxicity. These structurally and chemically well-defined codelivery nanovectors provide a new platform for the development of gene therapeutics for not only cancer but also a wide range of diseases.

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Metadata

Authors
Liu, J., Song, L., Liu, S., Jiang, Q., Liu, Q., Li, N., Wang, Z.-G., & Ding, B.
Venue
Nano Letters
Published
2018-04-30
Volume
18
Issue
6
Pages
3328-3334
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2799602777
Cited by
267
References
49
FWCI
10.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A DNA-Based Nanocarrier for Efficient Gene Delivery and Combined Cancer Therapy. https://app.cochat.ai/papers/10.1021/acs.nanolett.7b04812
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Liu, J., Song, L., Liu, S., Jiang, Q., Liu, Q., Li, N., Wang, Z.-G., & Ding, B. (2018). A DNA-Based Nanocarrier for Efficient Gene Delivery and Combined Cancer Therapy. Nano Letters. https://doi.org/10.1021/acs.nanolett.7b04812

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.